diff --git "a/train/batch_000858.jsonl" "b/train/batch_000858.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000858.jsonl" @@ -0,0 +1,100 @@ +{"episode": 85800, "episode_seed": 1860586390, "split": "train", "timestamp": "2025-09-16T00:20:29.453225", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1860586390, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "action": "('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "action": "('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "action": "('move', [-4.715983541609392, 10.975037366474853, -35.69066887331962])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cfa4f4c4aa32d86da704bdd75cfabd41d34560f4ace05bc00808e3322f43f56d"} +{"episode": 85801, "episode_seed": 3915136241, "split": "train", "timestamp": "2025-09-16T00:20:30.424864", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3915136241, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "action": "('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJnElEQVR4nO3cXaikdQHH8d+cl41qN9N2tQtTKsvXBaWCQm+SXtwQNbcbCS1SqUCCBVEouuqqSBBKjfDCQGh7lU2IwDDYJHzBusiMknTRPCrihrrVcs6ZmS5mznqsm7TdZvf8Pp+rZc4M+z9nnu/8n+f/PM8MxuNxgA5zsx4A8P8jeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieF5lNJr1CDiSBM/UcJjxOHO2iA3N20uGwwyHmZ/PYJB9+/L1r+fxx031G9PCrAfALE1m9YWFJPntb3P33bnttjz3XJ54It/5TsbjDAazHiKH1WA8Hs96DEeTyV+jYDMfjzMaZX4+Se67L7t35yc/ybPPJsniYjZtykMP5cwzNb/RmOFfbaNv3Yc+0AaDzM/nV7/Kbbdl794891ySLCxkdTUrK3nPe7J///T5G/1P0sUMv85wmAceSJJzzslb3jLr0Rxmk2PyyZrcaJR77sk3v5kHH8xLL00fnzzh7LNzww3ZsSNve5sFvA1I8EnWJrKXXsoll+TXv87XvpYvfzmj0cbY5EejDIdZXEyS/fuzd2++8Y3cf3/Wv/NvfGO2b8/11+fSS7Np06xGyhFnl36d5eU89lhGo7z97Uk2QPCHUp+by5NP5t578+1v5+GHk2RxMSsrSbJlSy64INdck8svf+WF9uQ3KsGvc+BAlpaysJCTTpr1UP5X43GGwywsZG4u+/blRz/K97+f3/0uSTZtyvJyVlayeXM+9ans3JmLL06S0Wh6bJ+Nv5TRS/DrPPVUBoNs25atW5Njcqtfvya3sJAnnsitt+YXv8gjjyTJ4mJWV7O8nM2bc8012bkzF1yQJKur0zU8NjzBJ1lr+49/zHic44/Ptm2vPHiMGI9fdZ3cn/+cm27Kz3+ev/41SebnMxxmZSUnnJAvfjFXXpnTT0+S0Sij0fQ8PA281ets3Zqzzsp55+XEE2c9lNdgPM7qahYXMxhkeTl/+ENuvjk//GEOHkzWlt+Hw7zjHfn853P11dMFiiTDYebm1N7FKv0x7FDqSQ4cyAMP5Pbbs3t3kuku+upqkpx3Xq64Il/4QrZsmb5w/eE6VQS/ZlJPkvn5Y2JxfjI/Dwb5xz/ys59l9+7s2ZNkekn85Ff56EfzyU/mqqvy5jcn1t4R/DFn/bW/Bw/m9ttz1125997k1alfemk+/ens2JHNm5NkdXX6U8oJfm3i27cvX/1q3vvefOYzOeWUo+0k/L+tyR04kFtvzZ135ve/T5L5+YxG099j585cd13e975p6isrWViQOlNWbNaCf/TR3Hlntm3LRRfllFNy1HwOHrrLZRLt0lK+973cckuefjpZtya3ZUsuuSTXX5+zz54e1U9m9cm/YULwa/7ylwwG2bo1p56aHC3n5FZXMzc3PUP+6KP5wQ/yrW/lb39L1m50GY1y6qn5+Meza1fOOGP6qsmanOV3/pONYu2w+PHHMx7nuONy4onTBbGZWn+n+t69+elPc8cdefHFDAbTq2JXV3POOfnEJ3LttTnttGTd4f2sx87RS/BroTz2WJLpRbWH7hSf3Ygm///dd+fHP86ePXnxxWTtAviVlZx7bq68Mpddlne9K7Emx39N8Gt77089lSTvfvcrj8zOaJQ9e/Ld7+Y3v8nLLyfrLpU799zs2pULL8zJJyfJykrm5+2989+q31Imk+n+/TlwIHNz0xlzdiYnB+6/P5/97DT1icEgH/xgbrwxH/5wjjsuWTu8tybHayL4cQaD/OlPWVrKaJR3vjOZ5Qw/Ofz+0Idy1lnTL+N461vzgQ9k167s2DF9zuSbKszqvA62miTJykrOPDN///t0+Wumu/ST8+1f+UquvTYXXpjPfS4f+cgrP0qsyfH6ufAmSbK8nKWlvPBCtm8/Sr7wZXk5Dz2U889PkuHQ2juHh+CPasNhEneqc9jYpT9KTS6wm9weA4dL9ww/WbE7eDC//GXe8Ia8//05/vhZjwmOoO7jwsmH3dJSvvSlfOxj01vJmz8B2egEnzzzTP75z8zPZ/v2WQ8Ijqzu4CdntJ95Js8/n+FwetWNg2Y2ru7gD83ww2FOOskBPBte96LdxPJylpczN5c3vWnWQ4EjS/BQpHuXHsoIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8Cw87Gx+Q3AxaAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "action": "('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "action": "('move', [-3.2118845316017386, -0.6705624080796154, 28.335986056077918])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJHklEQVR4nO3dTaildQHH8d8958xYFzHUGV9amFNhKM5CaCNkrdTAXAiuJJUiKLJkXIymjBKJLRQqstTGRRAuFBGlhasWSiVYUbSoKE3ElzuYWgp3crz3nnNanHNzghbR3Df8fT7M6iye52F4vs//ef7Py12YTqcBOgy2ewOArSN4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCL4nWg6zXS63RvB+9FouzeA/2JhYbu3gPcpI/wOMhvV19Zy88357W+3e2t4PxL8TjGdZnU1k0m+9a3cc08uvTQPP5zlZaf3bKSFqb1pZxiPMxzmySdzzTVZXs54nNNOy29+k3PPTZzks0GM8P9pm8bTySTDYV59NTfdlLffnuf97W9n375Mp2pnw5i0+0/b0dYs6dXVfO1r+ctfMhplbS3XXZcvfzmTSQaOyWwcwR9nPM6zzybJhRfmlFO2bLXTaQaDfO97eeKJ7N6dlZXs35/vfCeJ2tlgdqgk6/PjR4/mtttyySX5wQ+SZDLZgjXPxvCnn86hQxkMsrqaxcX86Ec5/fStWT9dBH+clZU891wmk5x1VrIVwU8mWVjIkSP50peyspJdu7JrV+6+Oxdf7NKdTSH44ywvZ2kpo1HOPHML1jaZZDLJsWM5cCDPP5/hMO++m6uvzhe+kLW1xMw8m0Dwx3n55SwsZO/e7NmTbG5ws2uI0SgPPpjHH8/u3RmP84lP5J57sriYhQW1sylM2iVZb/tPf8p0mlNPzd697/24OWYTdb/4RW67LeNxkiwu5vDhfPjD8xvysBmM8MfZsycXXJCLLsoZZ2zqema1v/ZabrghR49mOMxkkm9+M5/+tNrZXJ602wazqq+/Pj/5SXbtyupqrroqjz2WuG5nkwl+3XQ6nysbDjf19vfsPtz99+erX81wmPE4552Xp57K2WebmWfTCX5Lzcb2Z57J5Zfnn//MwkJOPjmPPJLLL/dQHVvBLrY+Y/7ii7n22tx5Z156KdmUm/CzpF97LQcOZHk5g0HG4xw4kEsvzeqqsZ2tYJZ+/Vn2P/4xDz2UvXvz2c/mnHM2/BWa2Vs5g0HuuCO//nU+8IEcO5Yrr8zttyfJaCR4toIRft1f/5qFhezZk498JNn42bPZyfzhwzl8OINBjh3Lvn35/vfnc/JqZ2sY4ddP6V94IdNpPvShnHFGxuONvZ6eTjMa5Xe/y+23ZzCY/7v33px7rkt3tpR9bT34555LMn+odvaM+4Yufnk5X/lK/va3DAZZW8utt+aKK9TOVrO7rZ9Pv/xyknzsY+/9skFmUwQHD+ZXv8ru3Vlby+c+l0OHNvaoAv+T+uCn0wyH+fvf5/PmH/3oxi5+bS2DQX784zzwQEajrKxk377cfXd2705curPlBD9Nkj//OUtLmUyyb1+yYSGOxxmN8vvfz991T+Zvv55//vxAAFvMpF2SZHU155+fo0fz8Y8nGxP87Iz9rbdyww1ZWpp/yuYb38jVV2cyych/PNvBk3ZJkpWVLC3lzTezf//8bPvEzO66T6c5eDDf/e78M3Wf+Ux++tMsLs5n6WHrCX5TzCbqHnssn/98xuOsreX00/PLX+a88zwwz3YS/MabJf3887n44rzxRgaDTCZ59NH5ybyxnW3UfSk5S/PYsfzsZznppHzykzn11BNfZJJ3380Xv5g33phfuh88qHZ2hO4dcFbn0lJuvDGXXZaHH37vx//XeJyFhRw6lJ//fH4f7lOfyi23+HNR7AiCT44cyTvvZDjM/v0nuLzZfbgnnsgPf5jRKJNJzj479903/+a04Z1t170Pzt6BPXIkr7+e8Xj+1M3/O6U2ez3mD3/I17+ed96Z33u7667s3+/DVewU3cH/e4Qfj3PmmSdyAT8bwP/xj9x6a155Zf6Zuuuvz3XXZWXF2M5OYZY+WVmZR7m4eIJLmkyyvJzhcH4k+eAHDezsLIKHIs41oYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoci/AMh4Aj1jK91KAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5f07ec42f2f0672679d92ad648163e7a441c9ae0a4dd76d8fdf90a05901cbb86"} +{"episode": 85802, "episode_seed": 1319963422, "split": "train", "timestamp": "2025-09-16T00:20:31.033821", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1319963422, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "action": "('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "action": "('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "action": "('move', [5.391726770402812, -6.824156552136863, 43.47362559035398])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvElEQVR4nO3d26uldR3H8e/z7LX3no2HC2HyQKgpCsrQZHQAC8ELb0ym3CM5KioOjt7ZlFlkmIcMJQ1KUwaZEBxlmGYyxRsvBB2UFCKmaBSmaEJEmdEbYTztvQ5PF2tnJBMlmNu9Pq/XX/Bjsd5r/X7f51nParquKyBDu9wLAD4+gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggmdlG42WewUriuBZwbqu2lbzH4LgWam6rpqm3nxT8x+C4FmRRqNqmjpwoObn68Ybq/VG/t/0lnsB8KGNRtW2tX9/bdxYu3fX0093s9Ojm2+dGn8KNM1yr+8TzAcjK894A//MM7V7d83MVNM2t9zW3n7bsG1qOKyuW+71fYIJnpVnaqq6rjZurDvv6BYXR9O9aprmppvbO+8Y9Xo1GGj+P2o6rw0rUNctjehv//Hoph9Vr9eORtWNurt+2l1/Qzsc1JTT6uEInhVsOKypqbrl5tGtt1XTtE1Tbdv97O7uum/Zuh6e14UVbHxB7pZb2x/eWF03bNoaDJrrv9vc98tRVY1G9vYfJHhWsPcH8rf/pP3B95vhoJuZqcGg2fztdsuWalvn+Q+ypWfFG9+BU1Xfu2F0193N7GyzsFCrVtW999bVV1e/X72ea3VLBM8kWHoXN/Wdzd3Pf9HMzFS/X3Nzdf/93ZVXNoNBTU1pvkrwTIzx3H40qs2b6777amqqhsM66qjasqW79NLm/V1AOMEzOcZV9/t13XW1ZUuNr8kfcUT9amt38YZmfH9euPgXgAnSNDUa1fR03XNPXbOpGwy62dl6++3adE2za2dnhleCZ8KML9RNT9c99zZXXVULC93cXB06VNdc2zz+WOc+PFt6JtB49/7OO3Xttd3DDzezs7WwUJ9a3T34YHP+12owqF7qfXiCZzKNz/OHDtWmTd2OHc34u/244+qhh+q88yp2hid4Jta46rfeqo0ba+fOmp6ufr9Wr64dO+rcc0Obd4ZnYo1neEceWVu31vr11e/X7Gy98UZdcknt3l1NU4PBci/xYyd4Jlnb1nBYRx9dDzxQ69bVwkLNzdXBg3XZZfXcc9XrVb+fNcMTPBNufAfOMcfU1q11/vn17ru1arZefbWuuKJ74YWans56Hp4zPBHGc/sDB+ryy+upp5bO86ee2u38dXPW54PO84Inxbj5gwfrkg3d08804+ZPOmn0+OPt2rUpzdvSk2J8nj/22Hrkkeacc7p+v2Zm6uWX2/kLR3v3VtPUcLjcS/z/EzxBxuf540+obduar5zdLS7W3Kra//f2ootGL71UU1OTP7cXPFnGzZ94Yj20rb78pXr3vZqdrX37mg3fHO3bV73ehM/wnOFJNH4Y3l//0l28oduzpx2f59d+tnv0t80pp0zyeV7whBoNq52q/X/r5i+sP/25me5Vf1Br1tQTT9TJJ09s87b0hGqnajisU05tdu6qNWuqP6iZmdq7t+bnu1deWbpLb/IInlzjKd1ppzc7dtQZZ9TiYq1aVXv21PoLh6+9tjTVnzCCJ1qvV8NhnXlmbd9ep5/Wvfdezcw0v/9De9H64YEDSxO+SSJ40o2rXru2tm+vz5w0Wlys6enm+Rf+1fwk7e0N7aDqn3P7P+7pvvH17uVX2t50DfrdV88ePfpYu3r15DwD0zc8VI2/5wf1ubOaXb+pT58wGvRrZqZ57nft+vXN669X00zIj+oED0umejUY1Be+2O7a1Rx/7HBxsaqa55+vF1+sqgkJ3pYe/s14b//sszU/3y0uNtu21bp1y72mj47g4YPGzT/5ZA0GdcEFy72aj5Tg4TDe/9eKCfv7CsHD4Q2H1XWT9kBrwUOQCdqsAP+N4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIPwBvtiYxqvKiRgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvElEQVR4nO3d26uldR3H8e/z7LX3no2HC2HyQKgpCsrQZHQAC8ELb0ym3CM5KioOjt7ZlFlkmIcMJQ1KUwaZEBxlmGYyxRsvBB2UFCKmaBSmaEJEmdEbYTztvQ5PF2tnJBMlmNu9Pq/XX/Bjsd5r/X7f51nParquKyBDu9wLAD4+gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggmdlG42WewUriuBZwbqu2lbzH4LgWam6rpqm3nxT8x+C4FmRRqNqmjpwoObn68Ybq/VG/t/0lnsB8KGNRtW2tX9/bdxYu3fX0093s9Ojm2+dGn8KNM1yr+8TzAcjK894A//MM7V7d83MVNM2t9zW3n7bsG1qOKyuW+71fYIJnpVnaqq6rjZurDvv6BYXR9O9aprmppvbO+8Y9Xo1GGj+P2o6rw0rUNctjehv//Hoph9Vr9eORtWNurt+2l1/Qzsc1JTT6uEInhVsOKypqbrl5tGtt1XTtE1Tbdv97O7uum/Zuh6e14UVbHxB7pZb2x/eWF03bNoaDJrrv9vc98tRVY1G9vYfJHhWsPcH8rf/pP3B95vhoJuZqcGg2fztdsuWalvn+Q+ypWfFG9+BU1Xfu2F0193N7GyzsFCrVtW999bVV1e/X72ea3VLBM8kWHoXN/Wdzd3Pf9HMzFS/X3Nzdf/93ZVXNoNBTU1pvkrwTIzx3H40qs2b6777amqqhsM66qjasqW79NLm/V1AOMEzOcZV9/t13XW1ZUuNr8kfcUT9amt38YZmfH9euPgXgAnSNDUa1fR03XNPXbOpGwy62dl6++3adE2za2dnhleCZ8KML9RNT9c99zZXXVULC93cXB06VNdc2zz+WOc+PFt6JtB49/7OO3Xttd3DDzezs7WwUJ9a3T34YHP+12owqF7qfXiCZzKNz/OHDtWmTd2OHc34u/244+qhh+q88yp2hid4Jta46rfeqo0ba+fOmp6ufr9Wr64dO+rcc0Obd4ZnYo1neEceWVu31vr11e/X7Gy98UZdcknt3l1NU4PBci/xYyd4Jlnb1nBYRx9dDzxQ69bVwkLNzdXBg3XZZfXcc9XrVb+fNcMTPBNufAfOMcfU1q11/vn17ru1arZefbWuuKJ74YWans56Hp4zPBHGc/sDB+ryy+upp5bO86ee2u38dXPW54PO84Inxbj5gwfrkg3d08804+ZPOmn0+OPt2rUpzdvSk2J8nj/22Hrkkeacc7p+v2Zm6uWX2/kLR3v3VtPUcLjcS/z/EzxBxuf540+obduar5zdLS7W3Kra//f2ootGL71UU1OTP7cXPFnGzZ94Yj20rb78pXr3vZqdrX37mg3fHO3bV73ehM/wnOFJNH4Y3l//0l28oduzpx2f59d+tnv0t80pp0zyeV7whBoNq52q/X/r5i+sP/25me5Vf1Br1tQTT9TJJ09s87b0hGqnajisU05tdu6qNWuqP6iZmdq7t+bnu1deWbpLb/IInlzjKd1ppzc7dtQZZ9TiYq1aVXv21PoLh6+9tjTVnzCCJ1qvV8NhnXlmbd9ep5/Wvfdezcw0v/9De9H64YEDSxO+SSJ40o2rXru2tm+vz5w0Wlys6enm+Rf+1fwk7e0N7aDqn3P7P+7pvvH17uVX2t50DfrdV88ePfpYu3r15DwD0zc8VI2/5wf1ubOaXb+pT58wGvRrZqZ57nft+vXN669X00zIj+oED0umejUY1Be+2O7a1Rx/7HBxsaqa55+vF1+sqgkJ3pYe/s14b//sszU/3y0uNtu21bp1y72mj47g4YPGzT/5ZA0GdcEFy72aj5Tg4TDe/9eKCfv7CsHD4Q2H1XWT9kBrwUOQCdqsAP+N4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIPwBvtiYxqvKiRgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ceaaca0aee005554cd3bb72cfd6e46bc64b2799d3ad785ea6288c6b41c003e18"} +{"episode": 85803, "episode_seed": 398731448, "split": "train", "timestamp": "2025-09-16T00:20:31.646383", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 398731448, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "action": "('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "action": "('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "action": "('move', [13.465532910169406, 4.966946087354583, -6.61149089490407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f47c1457fa333566671d4b7b5728dc75f0378fd5ea74182a3ebd7754114a78ef"} +{"episode": 85804, "episode_seed": 2338259436, "split": "train", "timestamp": "2025-09-16T00:20:32.586300", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2338259436, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "action": "('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "action": "('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "action": "('move', [-9.913381310747619, -5.0385571818595745, -43.28050237290082])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "023a48273376cb1bf5c701cc367a82ecccdd181f026a0e6a0d4b162d0be32b78"} +{"episode": 85805, "episode_seed": 3345052028, "split": "train", "timestamp": "2025-09-16T00:20:33.195790", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3345052028, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "action": "('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "action": "('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "action": "('move', [-17.792092571433713, -8.172497318020453, -33.979634036626315])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "aab75a98a2fafd06ccb23989dc7b4494968c82832c375b6535a0a0cf82fb06de"} +{"episode": 85806, "episode_seed": 643729534, "split": "train", "timestamp": "2025-09-16T00:20:33.800532", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 643729534, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "action": "('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "action": "('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "action": "('move', [43.32974967587932, 24.86915974765235, 22.682611980619868])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJMUlEQVR4nO3dzYtd5QHH8d/cmfGtosSQhYhaNWAbhZaKrS6MIrViVpqCWGmRtqHShVBx0YVb8Q9QhKysVQRLfekLtg0iCkZQcdFIbaEbrQRtsNTQhU0zM/d0cY8zOsQianUyv8+HWeTe+9zhTpLvfZ5z5pxz54ZhCNBh8nm/AOCzI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngosvB5vwA2qpWVzM/nD3/Is8/mlFOyspJhyDAkyfJyTj01P/pRtm1Lktdfz969OXo0c3OZTpNkGDKZ5PDh3HJLrrwySd59N3v35s9/zuLiB77V0lIuvDA//Wnm5jKZ5Ikn8otfjGOSHD2aL30pd96Zk0/+fP4SNp8BjunIkWEYhu9/f0iO/fWnP40jn3nmQ8fcffcwDMN0OvzjH8PFFx97zPbtw5Ejw/LyMAzDHXesf/S884bDh8dvwidmhudDTCZJ8vWv5+DBnHzyOOXOzWVuLsOQLVty+unjyDPPzI03Zmkpk0nm5sZhi4s5ciRf+co45qSTctNNefXVLCxkGMZhk0mGIdu3Z35+vGfnzrzzTubn1x4977yceOJn+XNvbnPDbGUFx3TkSP797ywsJO/VPjOZ5MQTxzeFYcjRo+sHzJb3i4tr98xGvv8mnznB89k65v+31XeB1W371ZuzbXs+JZb0/E+zAo85La+buo/po4z5sPH54JKBT4MZHopYLEERwUMRwUMRwUMRwUMRwUMRwUMRwW9c6446g09O8BvU7PC22Ykqs9NJ4ZMT/AY1nebFF/PGG5mbG88lW1oaTzaHj82htRvObG7/+99z/vk544z88Ie55ppcdtl4xtrSUubnnU7CxyT4DWcW/L335ic/Gaf0L3whu3bl2muze3e2bEmSlZW1c8/hoxP8BrVzZ557LkkWFrK8PN75ta/l6qvzgx/ky19eGzn7BxQ/H4XgN6iDB7NvX+67LwcOjPP8bAdekm3bctll+fGP861vjdeGiTmfj0bwG9p0mv37c8892b8/hw4l78t+bi4XXpjbbsuuXTnnnHGr3hY+/5vgN6h1V5147bU88ED27cvLL49Xl1td6p9+er773dxwQy69NKedlmS8utzq5A+rBL/RDUOm07Hed9/N449n37787nf55z+T5IQTxsvJJdm1K9ddl+uuywUXJMnyciYTsz0fIPjjw3SalZUsLo43X3wxTz+dn/88f/1rkvHtYDbz79iRK67IzTdn5861p9uxx4zgjyfDkOXlLCyM6b75Zl54IXv35umnxx17k8n4hzPOyMUXZ8+efPvbOeWU8emrY6gl+OPPbJG/uk9+eTl/+Uv27s3jj+fQoQ8chDuZ5Kyz8r3v5ZZb8sUv5oQTxvGzo/coJPjj2LqF+uHDuf/+/OpXOXAg//pXkszPr31+xE035eabc8klOfPMJOMOv9UPgKCE4DeDdeU/+WR+/es89VRefz1JFhfHbYEk3/hGbrgh3/xmLrlkfOLqHkEaCH7zmJ1Xt7pn/pVX8swzefTR7N+fZPz9/NJSkpx9dq66Krt35/rr154be/UKCH6zmWWfjCfbvP12DhzIgw/mkUfG2lfX+aeemh07snt39uzJ1q1rT5999CubkuA3rVnVs+X68nIOHswDD+Shh/LGG2sH589s3Zrdu3Prrbnoopx0UpJMp2P25vxNRvCb3LoZ++jRPPZYfvaz/PGPefvt5H0TfpKrrsqtt+byy3PuuZ/Pq+X/TfAt1m2lP/98fvnLPPtsDhxI3ttdP5v5t2/Pd76Ta67JpZeOEz6bhuDrTKeZTsct/L/9LU89ld/+Nr/5zfjo6rG6p52Wu+7KbbdlaWntCD+Od3bO1JlMsrCQlZUsLeXcc7NnTx5+OM89l9tvz5YtY+0LC1laGi+2YTN+MzHDV3v/bD8MeeutPPlk7rsvr76ar341L720di1NNgfBc4zDb37/+/znP7n++qysOCxnUxE8a9adhM/mYxueNau1z5b6bD5meChihocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigoci/wUMMbCO5/i8bwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "23959020027715c7236646c7d022348964174f573884379d0d59373e03679057"} +{"episode": 85807, "episode_seed": 242797405, "split": "train", "timestamp": "2025-09-16T00:20:34.408443", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 242797405, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "action": "('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "action": "('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "action": "('move', [2.578843233250773, 4.8749731619026635, -57.973304826800074])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKjUlEQVR4nO3dz49dZR3H8c+9M9OClbEIiGCJBk0oP0JJq4wlSC2EKotqIIaYGI07N66MkPAfsOEfAN2xgMQFieJCoYUWqU1DpVYcJFFIgNI0VUjK0Gk79x4X56YzVFo7UDo98329MpueuXNzMul7nuec85xze03TBKihv9Q7AJw/godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBE/XDIcZDNI0S70fnSR4OmI4TJI//CE/+lEefDC93mgLiyF4OmIwSJInn8wTT+Spp3L0aHo94/xiCZ6O6PeT5Ic/zMUX58CB7NxpkP8YBE9HjI2laXL77bn66szO5ve/TyL4xRI83dE0ufjifPvbSbJzZ44cyfi4Wf2iCJ7uaA/a7703Y2M5diyvvWZWv1i9xh9IumVmJo8/nu98J1/5Spomvd5S71CXCJ7OGgzS7wt+UUzp6aC5uSQZG1P7YgmermmajI/n8OE88ki2bRtt4ewInk5pD9pnZ/PAA/nlL/OrX1mBsyiCp1Pa0/IXXZTbbkuS7dtz8OBS71OXCJ6uaQfzDRuyenUOHszLLy/x/nSK4Omado3tddfljjvS6+V3v8tw6OzdWRI8XdPrZW4uq1ZlaipNk6efzszMUu9TZwiezvrmN/P5z+fQoezenThXf1YETwe1N9J8/eu5/vo0TR57bKl3qDMETwe1s/rJydx6a9asyerVS71DnWFpLd00HKbfz+uv59//zvr1ozN5/D+Cp/vcQnPWxpd6B+ATaO+NNbyfNb8puqzfz9xcfvOb/Pzn2bUrTTN69B2nYYSns9qZ/Acf5Mc/zuxsLr88GzdmOMzY2FLv2YXLCE9ntcftq1fn/vszNpY9e/LBBx56dWaCp8uaJk2TrVszGGTv3rzySno9s/ozEDwd1+vlttty6aU5eDB79y713lzoBE/3XXZZ7r47vV527szRo2b1ZyB4uqx99MXKlfnud9M02bFjdHu84E9D8HRceyl+/fp87nN58808/3wS63BOx2U5Oq5ddfPlL2fr1hw4kGuvTQR/WpbWslz85z/p9XLppaNl9nwUwbO8tKtxrK4/DX8IWS7aoavXy6FDaj8dwbMstKfu/vKX/Oxn+clPcuzYUu/QBcpJO5aF4TDj45mezqOPJsmf/5xNmxzM/y+/DpaF9qFXP/hBbr45/X6eeirx6fEfQfAsC+0S+hUrsn59hsPs2DEa3p2T/jDBs1y0J+q+//30+/nXv/LCC+n3DfKnEDzLRXsb/J135gtfyHvv5dlnk7hz7hSCZxlpmkxOZtOm9HrZsyezs26kOYXgWV6aJvfdl6bJ7t3Zuzf9vkF+IZflWF56vWzalNtvz9ato3X1nni1gKW1UIgpPRQieChE8FCI4KEQwUMhgodCXIfnHGjXtvT7HjxxoXMdnk/FycfPcEExwnMOPPRQBoPcc0+mpvKZzyQLUh8ORw+Ya79YWkZ4PqkTJ3LllXn33UxMZHIyU1PZsiWbN2fNmlxySSYmRi9rmszNpd83819Kgufja4fu3/423/tekoyNjcbz1rXXZvPm3HFHbrwxa9bkyivnf/D48VH5nkB1ngmej68N/umn8/DD+dvf8t57o+3j4+n3c/z46J8TE/nGN3LrrVm3LjfckJtuGk37kwwGaRrlnz+C5xw4fDjT03n11ezdm127sm/faHuvl4mJnDgxP+xffXXWrs3112dqKhs35mtfm3+Thf8Tzfk/JYLnk1r4oQ9NkwMHcuBAXnop27dn27YcPjz/yvYTIlorV+aLX8yaNZmayl135VvfyiWXnPq2J99Z/+eK4DkH2kP3psn4gss+J05kZibT03nmmfzxj9m/P0ePfvQD41euzGc/m3XrsmVL7r47X/1qVq360FvNzY1O8pv5f0KC51xqs08+osx3381zz2X79uzenXfeyTvvZG5u9K2FI3+SL30pmzfnzjuzbl2uuipXXTX/rRMnkmRszEW+j0nwfIpOd1j+97/nxRfz0kuZns4//jH6TPck/X7Gx+fP9iXZsCEbN2bDhqxdm7Vrs3r1aPtgMHoOtYt8iyJ4zpN28B8O0+vNP3XqyJHs359XXsnLL2fPnuzZM//6FSsyGMw/kO6KK3Ljjbnhhqxfn6mp3HTT/Cvb94xD/bMgeJbAcDgq+eSynCRvv523387+/Xn++Tz3XN58c7S9PXQ/WX6/n2uuyTXX5JZbsnlzNm3KZZed373vMsGzlNqzfe0Hw50cn48fz5EjeeONbNuWZ57J7t2ZmZk/4F/ooosyOZnrrstdd2XLltx8c1atOp+73z2C54LQTvjbRTinzMzffz87d+bZZ/OnP+Wtt3L4cGZnT/3x9jNmfvGLPPKI+3bORPBciE4X7RtvZMeO7NqV6en88595663R9omJDAb59a/z059mbu5Dl/RYSPB0QDvtz4JnzB87ln378te/Zt++7NuXF19Mr5cXXsjUlODPRPB0yXA4+lqxYn7joUN57bXMzGTjxkxOfmjlH6cQPJ3UjvnDYcbGLL9bBMHTbSfP9ll4ezYED4X4kwiFCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQ/wKs4ZZ99y7pOAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIaUlEQVR4nO3dza9dVR3H4d/ap5eX9tYqVHmJDEhgohMaighIEYpNqQxMgT+CGXP+IQYVI6VESURUiKUvUKJhAgETNdBSXpISoLn3nOVg3xArUG4Tw+2+3+cZ7tHKST5nrb3PWvu03nsBGYaNHgDw7RE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8U7JY1MpKzecbPY7Jar33jR4D8C3ZstEDgG/We7VW83kdPVqHDtXOnfXkk7VY1GCFeonM8Fzuvqj98cfrqafq3Lm66aZ655212lvb6PFNim9ILnet1cpKzWZ1ww393LlqrT7+uF54oarKbHWpBM8EjJP53r21c2fvvc6d6889u2it5qsbPbKpETwTMAy1WNTtt7dbbxkvtGMn2qef1myLSf7SCJ4JGO/ht22rn9zRq3pVvflmO3myD4Of6C6N4JmGYaje68DDw7Ztraref3/xlz/1quqLjR7ZpAieaRiGaq3uv7+uv35cxA+vHBs++6yWrrCqvwSCZxrGVf3SUv18T2+tWqujr9Qbb1SVVf0lEDyTMT6rf+SxofeazerMmTp1qspP8ZdC8EzGGPa999bOnTWfV2v1xxfr889rNrOqXy/BMzHLy7V/f42B//7I/PS7vezAWTfBMyVj2AcPVvW+tFRnP5q99norq/p1EzzTc8fuvn15vrpaVfXMb/u42Z71EDzT8/0ftF8+vGU8LXfk8OKTTzZ6QNMheKaktVos6sora9+DvarPZnXmg9nRo1Vu49dH8EzMGPZtu2rntbW6Wq3Vrw8tSvDrI3gmZvw1/pZb2113t96r93r++b5YuI1fF8EzMa3V6mpt314/u7tX9dbq9JnZiy/2cbXPxQme6Rkn8zt/Wtd8r3qvTz+tw8/0ssd2HQTP9Iwn53bf0X7047V1/F+PDrbcrYfgmZ5xVb9tW+3evXbl7bfr5MlyPP4bCZ5JGif5/fvrO9+pqjp7du0td27jL07wTNL4rP6+++rGG9f20h8/XisrtbRkVX8xgmeSxuPxV11Vd925NqcfO9ZfP9XH63wdwTNVs1lV1cFHZ8OshqFOn+6vvVrlIM1FCZ6pGsPeu7eu3THvvVob/vxS86z+4gTPtF19dT24r1VV7/WH5+f//pfj8RcjeKat93r0saH3uuKKevfM8Le/W9BfjOCZsPEk/N139eXl+XxeVe3Is30+9yeTX8sHw+Rdc207cGAYOz98uJ87t9EDuowJnglrrcbF/IEDVdW3bKnTZ9rJk1Vu47+G4Jm2Mexdu9o117SVlWqtPf30Ro/pMiZ4pm38ce7mm+uee2o8Hn/kyNpLrPkywTNt49a67dtrz56qqmGo996rl1+usqr/KoJn8sawd++uHTtqsajz5/tvDs2ratW/x3+J4Jm8tePxu2vXrvFCe+nltrKytveW/yZ4Jm8YanW1lpfr9tsWVYuq+sc/hxMnHI//CoJnM2itetXeXww7dgxV9cHZxfO/m5eXXn2J4NkMZrOqXvfuqZt+OO6lH46dmK2s1JYtHt1dQPBsBq3VfLWWl2v37YuqXlWvnuyvn+rD4B04FxA8m8Qwq6r61cHZ0lJrrd47XceP9/LSqwsJnk1iPDCzb199d8eiqtrQjr4ynD9vVX8BwbN59F5XX11799YwVF/Uc8/VW2+t7bdnJHg2ld7rkUeH+by2bq2tW+ujjzZ6QJeZ1n37sVmMx+M//LCeeKIeeKAeeqiuu26jx3SZETyb2fgVwBe2bPQA4P+s97W/kZ7N1P6/zPAQxEM7CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIfkWyyokjmY2MAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIaUlEQVR4nO3dza9dVR3H4d/ap5eX9tYqVHmJDEhgohMaighIEYpNqQxMgT+CGXP+IQYVI6VESURUiKUvUKJhAgETNdBSXpISoLn3nOVg3xArUG4Tw+2+3+cZ7tHKST5nrb3PWvu03nsBGYaNHgDw7RE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8U7JY1MpKzecbPY7Jar33jR4D8C3ZstEDgG/We7VW83kdPVqHDtXOnfXkk7VY1GCFeonM8Fzuvqj98cfrqafq3Lm66aZ655212lvb6PFNim9ILnet1cpKzWZ1ww393LlqrT7+uF54oarKbHWpBM8EjJP53r21c2fvvc6d6889u2it5qsbPbKpETwTMAy1WNTtt7dbbxkvtGMn2qef1myLSf7SCJ4JGO/ht22rn9zRq3pVvflmO3myD4Of6C6N4JmGYaje68DDw7Ztraref3/xlz/1quqLjR7ZpAieaRiGaq3uv7+uv35cxA+vHBs++6yWrrCqvwSCZxrGVf3SUv18T2+tWqujr9Qbb1SVVf0lEDyTMT6rf+SxofeazerMmTp1qspP8ZdC8EzGGPa999bOnTWfV2v1xxfr889rNrOqXy/BMzHLy7V/f42B//7I/PS7vezAWTfBMyVj2AcPVvW+tFRnP5q99norq/p1EzzTc8fuvn15vrpaVfXMb/u42Z71EDzT8/0ftF8+vGU8LXfk8OKTTzZ6QNMheKaktVos6sora9+DvarPZnXmg9nRo1Vu49dH8EzMGPZtu2rntbW6Wq3Vrw8tSvDrI3gmZvw1/pZb2113t96r93r++b5YuI1fF8EzMa3V6mpt314/u7tX9dbq9JnZiy/2cbXPxQme6Rkn8zt/Wtd8r3qvTz+tw8/0ssd2HQTP9Iwn53bf0X7047V1/F+PDrbcrYfgmZ5xVb9tW+3evXbl7bfr5MlyPP4bCZ5JGif5/fvrO9+pqjp7du0td27jL07wTNL4rP6+++rGG9f20h8/XisrtbRkVX8xgmeSxuPxV11Vd925NqcfO9ZfP9XH63wdwTNVs1lV1cFHZ8OshqFOn+6vvVrlIM1FCZ6pGsPeu7eu3THvvVob/vxS86z+4gTPtF19dT24r1VV7/WH5+f//pfj8RcjeKat93r0saH3uuKKevfM8Le/W9BfjOCZsPEk/N139eXl+XxeVe3Is30+9yeTX8sHw+Rdc207cGAYOz98uJ87t9EDuowJnglrrcbF/IEDVdW3bKnTZ9rJk1Vu47+G4Jm2Mexdu9o117SVlWqtPf30Ro/pMiZ4pm38ce7mm+uee2o8Hn/kyNpLrPkywTNt49a67dtrz56qqmGo996rl1+usqr/KoJn8sawd++uHTtqsajz5/tvDs2ratW/x3+J4Jm8tePxu2vXrvFCe+nltrKytveW/yZ4Jm8YanW1lpfr9tsWVYuq+sc/hxMnHI//CoJnM2itetXeXww7dgxV9cHZxfO/m5eXXn2J4NkMZrOqXvfuqZt+OO6lH46dmK2s1JYtHt1dQPBsBq3VfLWWl2v37YuqXlWvnuyvn+rD4B04FxA8m8Qwq6r61cHZ0lJrrd47XceP9/LSqwsJnk1iPDCzb199d8eiqtrQjr4ynD9vVX8BwbN59F5XX11799YwVF/Uc8/VW2+t7bdnJHg2ld7rkUeH+by2bq2tW+ujjzZ6QJeZ1n37sVmMx+M//LCeeKIeeKAeeqiuu26jx3SZETyb2fgVwBe2bPQA4P+s97W/kZ7N1P6/zPAQxEM7CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIfkWyyokjmY2MAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5f7bd45b3f30b624f529c1c7ec33372ec925838a4ba42e6f7e4e3f4f3d914358"} +{"episode": 85808, "episode_seed": 1324782633, "split": "train", "timestamp": "2025-09-16T00:20:35.346263", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1324782633, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "action": "('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKMUlEQVR4nO3dX6hlZR3H4e/e++xkwChFcywaIuumnDElCfWgRqexUAqhq6CgiwrFBgvGnCIZMOpSCMIiiP5cBEFBdNUkxfyTsoycZoogKDNTmwptZhznnLPX6mLtsqLMsXPaa+/f81yec/OyOJ/zvuvd71p70LZtgBqGsx4A8P8jeChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKnx9o2bTvrQSyUpVkPAP6zwWDWI1g0Znh6qZvYn3giTz4545EslkFryUQPTSZJsr6e4TDj8axHszgED4VY0tM/6+s5eDBHj+bpp5PYt9tAgqdPuraPH8/112fnzhw+nPxtec9GEDz989BDaducOZNzzkns1W8kwdM/3/9+kmzfnssuSwS/kQRP/xw4kLbNJZfkJS/J2lqG/ko3jEtJnwwGOX48x45lOMzll896NAtI8PRG0yTJwYM5dSrnn58rr0xiet9Yria90QV///1pmmzdmh070jSC31iuJr3Rbc4dPJgkr399tmxJ09ix21genqE3usn8a1/L/v3Zti1ta3rfcI7W0ieTSUajWQ9ikQme/mlbK/lNYslEb5w5kwMH8rOfOTy/eQRPD3T787/+dXbtyk03Zd++xDMzm8KmHT3Qffz2i1/koYeS5BWvmPWAFpYZnh7o7th//vMked3rcsklsx3OAhM8s9a2GY1y+nSOHEmSa67xkNzmETyz1t2r/+53efDBJLn66oxGbuA3ieCZta7t3/8+v/lNxuNs3/7sD9logmfWuuN0DzyQySSXXpqtW2c9oEUmeGaqO2Ozuppf/jJJLr88L3tZ4gZ+s/hYjpnqwh6P85GPZNu2LC9nPPaQ3OZxtBYK8X+UfmiarK1Nj9yxaczwUIgZHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKnvzy6veEET0/5bvjNIHh6ajjME0/k7rvz2GOm+g3jJZb0TtPkzJns25ePfzzHjuXRR/O5z3mx5cbwiiv6pXtv9ZNPZmUlDz6Y8Thra/nmN3PzzZrfAK4f/TIYpGny0pfmE5/IuedmMslgkDvuyCOPTH/F/0Lw9M5gkPX13HRT3vveNE3G4/zqV9m7N4NB2tb9/P/Ekp4+6lbvx4/nLW/J0aMZDtO2+epX8+53Z309S7aeXigzPH00HGZ9PRdemE9/OktL07n9U5/Kww9nacnC/oUTPD3VhX3jjfngB7O+ntEox45l795MJokzOS+UJT291jQ5cSLXXJNjx7K0lMkkX/963vWu6WY+Z0vw9FoX9n33ZefO6U9e/vL86Ee5+GLNvxCW9PRad/e+spKPfjRtm/E4jz6aD384bTtd23NWBE/fdR/F7dqVK6/M6mpGo3zjG/nyl6crfM6KJT1zYDLJaJT77svNN+eZZzKZ5JWvzP79edWrpr/ieTLDMwdGo0wmWVmZ7tgPh/ntb/Oxj+X06cSO/dkwwzMf2jZNk5Mnc+21OXIk55yTJF/4Qt7zHmfsz4LgmRvdtvyhQ3nzm9M0aZps3ZrDh/PqV9uxf778Y2RudDv2y8u5887pGfvHH8+ddyZW9c+bGZ550v21njiRt741Dzwwvbf/4hfzvveZ5J8XwTNnujv2Q4fyznfmL39J0+SCC3LoUF7zmrStm/n/wuVhznQPz151VW69dbpj/4c/5I47MhhM1/w8BzM886d7v+XTT+eGG3L4cMbjrK/ns5/NLbdkbS3j8azH12OCZy51523278873pGTJ9O22bYt3/52tm93FOe5WNIzl7rtuuuuy+23T3fsH344d92V1VVvwnouZnjmWNtmdTXXX58f/GD6L+Dzn88HPmDH/j8SPHOsC/vHP8511+WZZzIY5Lzzcv/9ee1rNf/vWdIzx7rV+xvfmLvuStNkNMof/5jbbpv1sHpM8My37qO4W27Jzp1ZXc3SUvbtyz33TD+9419Y0jP3uvfY/vCHueGGnDiRJBdckO9+Nzt22LH/V2Z45l73Jow3vSl79mQwmB7F2b07Tz01fcaOvxM8i2A4zNpabr01y8vTCf9738uXvjR9g71V7N9Z0rMgujP2R45keTmnTiXJi1+cAweyY4cH5p/lMrAghsM0TXbsyN690x37p57K7t3eivNPBM/i6L6R6kMfysrK9FD9vn25997pz4klPQumO29z9GhWVvKnP6VpsmVLDh/OZZc5ipOY4Vkwg0Emk1x6afbsmX4Of+pUdu3K6dO+eTYRPIuna/7978/b356myYtelIMHc889GQ69x96SnkXUnbf56U9z4415/PG0bc47L9/6VpaXqx/FMcOzgEajrK/nDW/I7t3Th2f//Od88pM5eTKjUemFveBZTEtLadvcfnve9rasrmbLlnznO7n33lkPa9YEzyJr23zmMzn//Jw+nWuvzRVXVN+rdw/P4vvKV/KTn2TPnlx00ayHMmuCZ8F152q7ib07Zl+Z4KnCifq4h6cI31HRcQ0oofJG3T8SPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfwVVJaqsya58awAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "action": "('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "action": "('move', [-0.6213873115981134, 2.7536605796111395, -15.826915020116104])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH3klEQVR4nO3dv45c5R3G8efMeLUeW4oj5IANkpHszmCQo6QBCioqai6CgoIL4A5S5Cq4g0RCigi2QiQkJMxfUUGBkCI3URDYu+udk2LW6wWUFHss9pjn86l2Z7c4hb/+ve85M+8O4zgG6LA46QsAfjmChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKnTvoC4P8Y9/eH9frgm1OnMgwnejmPvmEcx5O+BuAXYsIzS+O4HobFd//6619Wf//oN//5dy5ezOuv5/z5jKM5f3yCZ5bW6/V+Fqvf/u2fyz/9OUmefjqvvZbz57NeZ7k86ct7ZAmeWVous0yyPHsuw5BhyNZW7t076at69LlLz/zcu5ebN/PRp9n9YXUmQ8b1Oru72dk56Qt79AmeOdncQr59Oy+/nFdeyUf/OP27DON+kr297O6e8NX9Cgie+bl1K+M47O7k1PZqO4thSLK3dzDhPVaaQvDMz7vvJsm1a3nu+dWYxamD4E346QTP/Ny4kXHMlSs5dW612BuWiwj+IRE8czIMuX07n32WxSK/v55ktcpikRxZ0jOF4JmNzXtob97M99/nsceGP/wxyekzmy187t07mPD28FMIntnYBP/++1mvc+FCrj+XrFdnF5sJP44m/EMgeGZjM8pv3kySZ57JapWsV6thcf8fqT38dN5px2xsyn777bz3Xi5dyjhmWJy+v4dPTPiHQPDMxjBkfz+XL+fy5STDmGRYrR58VMYefjpLeuZk87GYI02vjkx4S/rpBM9s7Ozkxo188sn/Cn6zpPfZ2CkEzwxs7s9/9VXeeCOvvpp33kkyZExy+vSDD8NuJrzgp7CHZwbW6ywW+eKL3LqVJE89tXl5HLO9/aDwu3cTwU9jwjMDm4g//zxJrl7NlSublzdL+58v6d23OzbBc9LGMctl7tzJxx8nyYsvZns7eTDKT58++EVL+ukEz0nbzOtvvsmHHybJCy9kuTw6xM+cOfji7t2s14KfRPCctE3b336br7/O1lauXXvwYpIfT3inXE0keE7aZo/+wQfZ38+zz+bChZ/8/HDC7+xkb++XvbZfHcFzojaHTu/u5ssvk+T69Tz+ePKjnfrR4E34iTyW40Rtwt7ayptv5tKlvPRStrYOntLdt1odfHEYvKPpj03wzMAw5OrVvPXWwbeLHy08jwZvST+RJT3zsF5nby+Hf0cuyf3xfxi8m3bTmfDMw2Lxk8F+6OhjOcFPZMIzd0cnvCX9RIJn7jyWe4gEz9wdTvjDJb330h+b4Jm7nz+W49gEz9wdLunt4acTPHO3mfDDYMI/BIJn7jYTfnPCpQk/keCZu8MJn5jwUwmeudsEv3lXjrv0EwmeuTs64Z1UPZHgmbvNHn4z1Z1UPZHgmbvD5/C5f3AtxyZ45mszyQ+fwye5c+fB6xyD4Jm7wzPt4mj6yQTP3C2X2d4++KS8Jf1EgmfuhiGr1cFNO0v6iQTPI+Ds2QxDFgt/In4qJ94wd8OQra3s7yfJd985wXISwTN3i0WefDI//JDlMufOHQQv++MZRm9TZN7GMZ9+mp2dLJd54olcvCj14xM8FLGk5xGw2cAnB7fuODYTHor43xKKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6K/BdGrl57u+pYKAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2067a5d040f2cf4c0aaf2f47f574ac53d08d51d246eaa2a4ecc059a58c5d8d02"} +{"episode": 85809, "episode_seed": 3088209158, "split": "train", "timestamp": "2025-09-16T00:20:35.950755", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3088209158, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "action": "('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "action": "('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "action": "('move', [2.5501063000640536, 0.9451231717787082, 45.304942558713776])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFKElEQVR4nO3YQW4URxiA0b/ahgUSC26SiKtwAvbsOBrX4ACs2UbKGinTnYUdx8aOASPZQd97GrXLXdXjlqVv2q51HMcADdtT3wDweAQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8h5099A/za9n1Op8vxuvHle60fXH/PJWs95N1S1nEcT30PwCPxhOeB9n22bT59mo8fZx37to61Zm2zXT9ua52ttdZ2cWYda1vbNmvNxfFqcPvknQvuWX86zatX8/LlU/9e/t8EzwOdTrNt8+HDvH//9dSaWbO2bdY2a1vXylxfdXs73Ttn7xxcHz9/Pl++zLt38/bt5ScRdxI8P+Wf/5lvFHbMHDP7PrM/6s18/vyoP+5XJHh+yvn5vHgxc8ysudgOutoUuj24f/b+9f/hcnrbZt/Xs2ffc0ma4Hmg8/OZmTdv5vXr2ffL1+l0Y3wc/565+PZqzdXU1fH64uuv2++z7/vx15z22U/H6XQcx6y1/vjz7PffZh607d9hlx5CPOH5Kcfxw39CP+wR882rjmPOzmzXfYMnPIT4PIQQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkbz0Rr1l6wF1uAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFKElEQVR4nO3YQW4URxiA0b/ahgUSC26SiKtwAvbsOBrX4ACs2UbKGinTnYUdx8aOASPZQd97GrXLXdXjlqVv2q51HMcADdtT3wDweAQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8h5099A/za9n1Op8vxuvHle60fXH/PJWs95N1S1nEcT30PwCPxhOeB9n22bT59mo8fZx37to61Zm2zXT9ua52ttdZ2cWYda1vbNmvNxfFqcPvknQvuWX86zatX8/LlU/9e/t8EzwOdTrNt8+HDvH//9dSaWbO2bdY2a1vXylxfdXs73Ttn7xxcHz9/Pl++zLt38/bt5ScRdxI8P+Wf/5lvFHbMHDP7PrM/6s18/vyoP+5XJHh+yvn5vHgxc8ysudgOutoUuj24f/b+9f/hcnrbZt/Xs2ffc0ma4Hmg8/OZmTdv5vXr2ffL1+l0Y3wc/565+PZqzdXU1fH64uuv2++z7/vx15z22U/H6XQcx6y1/vjz7PffZh607d9hlx5CPOH5Kcfxw39CP+wR882rjmPOzmzXfYMnPIT4PIQQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkbz0Rr1l6wF1uAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3e5dcf43461442a77d6ffecbb8969ca0665b88b4f553d7da7c7b01f37839d122"} +{"episode": 85810, "episode_seed": 2614237712, "split": "train", "timestamp": "2025-09-16T00:20:36.558092", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2614237712, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "action": "('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "action": "('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "action": "('move', [-36.674190951044075, -41.54687987554692, 6.478570474339231])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAInUlEQVR4nO3du25c5RrH4dfj8QEfSGJHiAKk9ETiBiJRUNDRBmpKJC6AO+AaaKloaJCg4QLokGhRKKiQAjZ2zHiYw9rFWhpna+92zYfyf57KdvUV8/O7Dt9as9N1XQEZJq0XAGyP4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHItPUCqKrquuGHnZ2m6+BVJ/h/BZ2zHYL/V7i8rMmkDg5qf1/8jGin2xxN0sjtbX3ySV1e1v379eGH9fRpLZc19a+YEfhYtbRe12RSFxf1ww/1++9VVWdn9fRprdetV8YrSvDtXVzU3t4w0t96q/VqeKUJvqX+dOrysm5va7msqjo5qXINj9G4D9/e5WX9809V1f5+3bvXejW80gTf0mbCLxZVVYeHQ/AmPCMRfEub4PsJf3BQr79eJXhGI/j2Li5qtap6acLDSATfUj/hLy6GXx3SMzbBt/e/wcNIBN/e1dXwQ38O33UmPGMRfEu7u1VVs9nw6+FhTafD+TyMQfDNdF1NJrVc3gV/dFRVtV6b8IxF8M30h+4vXtTNzfCX+/erXLFjTIJv7OrqbsKfnTVdCgEE30x/T+76uv7+e/hLH7wJz3gE39j19XBIP5mY8IxO8M1sJnx/SD+d1oMHVSY8YxJ8Y5tD+t1dE57RCb6ZzYTvn5wx4dkCwTd2fT38MJ2a8IxO8M1sJnxvd9eEZ3SCb2Yyqfp/E17wjEfwbfT7auulJ2d2d+voqLw0nFEJvpnJpNbru+D7B2MFz6gE39Lt7V3w5+dNl0IGwbfRT/LZ7C74hw8bLocUgm9pNru7aOeKHVsg+JZenvBuwrMFgm9jc0j/11/DX5zDswWCb8k5PFsm+JZms5rNhhvyJjxbIPg2+kP6zXNyJXi2QvAtbd5mV4JnKwTfRn8Yv/kKinJbjq0QfBt92H/+WVXVdbW/X8fHbVdEBMG30QffT/jVqs7PazptuyIiCL6B/ordcjkE33V1djYc5MOofMqa2QRfJXi2xKesmcWiLi+Hn8/PBc82+JQ1s1jcTXjBsx0+Zc0sFsNV+qo6O3NDjm0QfDP9hO8Hu0fl2A7BN7NY1NXVfwXv/VaMTfDNzOfVdTWd1mRiXy1bYrdHM8+fV9fV7W1VDW+kh7EJvpnj43r//ZrP6+Ki3nyzqqrrXLpjXDudE0eIYcI303W1WlVV7ewMj8TD2Ex4CJI64Tf/5pw0kyQ1eJ0TKTX45bJubqrr6v791kuB7cnbeNNfKPvuu/roo/r001ouWy8Itidvwvdn77/8Ut9/Xw8e1GxWp6fugBMib8L3zs5qOq3j4+FN0ZAhL/h+kh8c1HJZ8/mwtdW9STLkBd977bWaTmu5NOGJEhz87m6tVjWbtV4KbE9e8P0h/dFR7e3Vej0E75CeDHlX6XuHh8M5/IsXrZcC25Ma/L179fhxrde+8IUoHp6BIKkTvqqWy+q62t31gmhymPAQJHLC9//jvvyyfvutPvignjyp9dqcJ0Fq8JNJffFFPXtW+/v15EmtVoInQeSnvJ/w/Wul+q21kCEy+N7hYZXgyRIc/MlJVdXNTZWddqQIDv7oqKrspSdKcPCnp7Wz45CeKMHBHxxU19X1det1wPZEBt8/MHd+XkdHdXpaVe7JESJyp13/Bruff65nz+rRo3r3Xe+0I0Rk8JDKoSwEidxa27u5qYuL2turhw99mSMhIif8el1V9dVX9fbb9d579fz53R/hlRYZfO/goCaTmk5rPm+9FNiSyOA377Fcr72aniiRwff6rbWLhQlPDsEv7K4lh+BNeIIEB398XNPpcBpfzuGJEBx8/32Sf/xRV1etlwJbErnxpr9K/8Yb9fnndXJS77xT5fkZIthLD0GMNQgSH/x8XqtV60XAlgQHv1rVZ5/Vxx/Xt99WVS2XrRcEowsOvuvq66/rm2/qp5+qPDxDhODgd3bq0aOaTr3rhhzZwe/v13LpTdXkyA7+9LQODmqxGH6FV11w8FU1n9d8Puy0EzwBsjfe/Phj/fprPX5cjx97cS0JsoOHMJF76TdWq+G74m2kJ4MJD0FMNggieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH3EDzkrQyDe9AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "95b33affd044e6f776d9004957fbb11b5104338f88597ab9cc8fa0b41f800b1d"} +{"episode": 85811, "episode_seed": 91093276, "split": "train", "timestamp": "2025-09-16T00:20:37.495981", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 91093276, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "action": "('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5klEQVR4nO3dfWhV9QPH8c/ZvdtykFiiTIhGj0ZEFhWTHswymCJpD+uPaThcZomY0QPVHxWG/hVGkBaB0JqpwWKJS3GtUWFPYGRFWiSW95/ATI2aue0+nN8f5zjvDwucXnev5/N+/TkdO2y87/d7zvd7vzcIw1AAPFSV+wIAjB6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQ/MiEocKw3BcBnC6CH5kgUBAolyN7nJMIfmR++00HDiidVhAomyV7nGMI/pQUCpL0999qbtbdd+u99zQwoOpqFQrxPwHnhCBkkDoFYagg0MaNmj8//sqsWWprU3OzJBUK8VQfqHAEf6qyWd1yi3buVFWVgkD5vMaM0bRpevppzZgR/5/od0n5qFhM6U9JGCqd1oYNevhh1dYqn5ekgQH19GjuXM2Zo1274llA9FoAVCZG+BHbvVsrVuijj3TkiCQFQTywt7Vp+XJde60k5XIKAqVS5bxO4GQEPwLRGB755BOtWaNt23TsmNJphaHyedXUaNkytbTohhskKZuNn+cDFYLgRywMVSjEo3d3t9avV2enJNXUKJdToaCJE7VggRYu1NVXS1KhoCrunFAZCP40RTfqqZSGhvThh1q7Vtu3S1I6rVxOki67TPffr6ee0oQJ8bcUTxCAsiD40xdN49NpServV1+fXnpJ33wjFWXf0KCHHtLy5Ro7Vjq+ns+Aj3Ih+DNVPMMfGtLGjVq9Wj/8IEmpVDwRaGjQc8+puVnjx0vc26N8CL40ilfgBwe1Zo3Wr9d330lSdbWyWUmaMkVPPKHZs+Psc7l4dgCMGoIvseEb9d9/11tv6e239eOPklRTo6EhSbrzTrW2at48pdNs0cNoI/jSC0PlcqqulqS9e9XVpdWrdfCggkDpdDza33GHlizRAw+c+Bayxygg+LOlUFA+H2e/f7/WrdOrr+roUUmqqlKhoDFjNHWqXnhB06ef+BYGfJxVBH92FTecyWjVKnV26s8/pePZV1erqUkvvqjrros38Aw/AgRKjuBHQ/Hem927tWqVenv1xx/xa0G0VtfWpiVLdOONkpTNKpVi9Q6lR/Cjarj8Tz/Vm2+qq0uDg/Gz+lxO552nxYs1b54aG+OvpFLM8FFKBD/aojMzosh7etTernfflaTq6vjkrEmT1NyspUs1ebLE8zyUFMGXRy6nqipVVWlgQDt26OWX1dsrFW3Ru/hiNTfrmWc0caLEO+1RIgRfNsU7cwcG1NurFSv07bfK509s0Zs0ScuWafHieK8OcIYIvsyic6+jG/tCQe3tWrv2XzbkP/us5sxRfT1P8nBGCL5SDE/aBwf1xhvasEFffy0VbdG76y5t3x4HX8q5fTTT4PGgB8aLSjF8PFZtrR5/XFu26JVXNHlyXHs6rauuUip1Fp7hRRsAqd0DI3zFKd6Z+8sv2rxZK1cqDPXrrxo3rqQ/KVok/OknffCB7rlHl1/OkkDiEXyFKl69y2SUyWjatFL/jGxW1dV6/nmtXKkrrtCXX2r8eJpPNt6fWaGiRbtoDG5oUENDqUuMXk4OHdK2bZJ0/fW68EKO40o8/roVLaovepJf4nE32uXf3a3vv1cqpSef5I07Dgj+HFD6EsNQqZT6+9XdrVxOt96qm26KfxISjeAtRcP7rl3q6ZGkpUul4wuDSDSC9xMN74WCtmzR0aO65hrddhtjuwmCd5XJ6PXXJenBB1Vfz8N5EzyldxUEmjlT+/erqUkSx26YYB3e0vB4fuCAxo1TbW25LwijhOCNRVvo4YR7eD9hqH37JMWP7uCE4J3k8wpDff65GhvV1KRMRlVVrMZZIXgn0a17e7sOHdKePaqro3Y3BG8j2jy/b5/6+iRp/nxNmBDvwIENgrcRHZrV2alMRnV1euSReAcOnLAO7yEa3g8c0NatCkPde68uuaTc14QyYIT3EE3dv/pKX3yhINCjj8ZvwYMZgjcQhkqn1d+vdeskacYMTZnCrbsngjcQjeT9/Tp8WIWCWlp0/vlsnvfETjsnmYw+/lgzZ6q+nsNtPBE8YITXeA/RmpwUf34dXBF80oWhslm1tOi113TwIAvv5gg+0aKPqtq8WZ2deuwxffZZ/GEXcMXGm0SLjr/s6FAQaOpUzZ7NQRfmGOGTK3q7e7TZJgzV0qKaGlbjzBF8ckUP5zZt0pEjqq9Xayub58GUPqGij57fu1c9PQpDLVyosWPLfU0oP0b4ROvr088/q65Ora0SJ8+D4BMpmrr/9ZfeeUdhqPvu06WXlvuaUBHYaZdQYajBQe3YoY4OLVqk22/ncR1E8IkVvR82CDQ4qFQq/txp2CP4JGIwx3/gHj6JgkBbt2rnTv3zDwddoBjBJ0vU9uHDamlRY6O6uthLi2IEnyxR2x0dOnZMF1ygiy6S+NR3nEDwCRKtxuXz2rRJuZxuvlnTp/N5UihG8AmSzysI9P772rNHqZQWLZIY3vF/CD5Bora7u9Xfryuv1Ny5CkPOsUIxlmeTIprPh6EWLNDgoGbNKvcFoRKxDp9QLMXj3zDfS5x8Pj7oBjgJI3wSRX9TRnichHv4JCJ1/Aem9IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMj/APBS/MV8agxQAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "action": "('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "action": "('move', [0.8731627754755618, -0.6428761786342082, -28.399343931534236])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ40lEQVR4nO3dz4tdZ+HH8c+dmXZ0mhSnMc0UilUXIrQgLqQoKoJIqy5ENxIsVqGgILgRl+I/4E5w5UKK2kXxB4YKXRQRVNwJIkXUglm103GSEKdpa+be812c20lqG5vJV0zPfF6v1cmEuRy4857nPM957pnZMAwBOqzc7BMA/ncED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0XWbvYJcCOG4crxbHbzzoOpEfwkiZwbI/hJOn8+e3u5dClra7nnnqx5G7k+5vATs1gkybe+lXvvzXvfm89/PhcuXPk6/GeCn6T5PP/8Z1ZXlwdwnQQ/SXffndks83l2d5fBX72MB9ci+IkZl+tOnVoWfv68EZ5DsNozSXfdtSx/b88IzyEY4SdpayuzWVZXk+TixZt9NkyH4CdpDH507lzizjzXR/ATM4Z94kTW15e34nZ2kmTFO8l18GMySbfckjvvvBL8MGQ2M43njQl+kmazbG0tj3d28vLLN/VsmA7BT9LKypXgn38+L710U8+G6RD8VN111/JgZ+f/F/wwZH/ffKCE4Kfq6kv6MfgbbHY2y9qaVf4Sgp+qMfjV1ezs5F//uqGXGBf9/vznfOc7+dvfEtt3jj7BT89Y5XhJv7aW+TyXLt3QC83nSfKjH+Wb38ynPpXdXWv9R57gp+rgkj7J888nh917s1hkbS27u/nlL5Pk/e/PHXdksXBtf7QJfqo2N5NXRvvnnjv8949tnzmTP/4xq6v5xjcym6n9yBP8VK2v5/jx7O8nyfZ2cqgRfhiyupq9vZw5k/39fPjD+cAHDvkSTJLgp2p9PadOLdfdDj3Cj8P7H/6QJ59Mkq99LbFiV0HwUzXurh0999xhHnE1Du+LRX7xi7zwQu67Lx/5iLG9hOCnan39SvDPPnv4Z9qdPZvvfS9JHnooW1vL7fgcdR6AMVVXB7+9nf39Qz67djbLgw/m73/PAw8kyWKx/Hg9R5rgp2cciVdXl8GvrBxyhB9vtr/znfnJT7K9nbe9bflyFHBJP0lj3gfBX7iQF188zPePvzPm85w6lfX1//758WYl+EkaF9RPnkySlZUMw3LvzXUttA9DnnkmyXLpjiaCn6Qx7HHvzdjss89ex7fN5xmG/Pa3uf/+PPBAzp5d/raghuAnabwkP3Zs+bcocp3Bj0vxP/hBdnfz9NPZ2FB7G8FP2G23ZXNz2ewbBz9unn/mmTz1VJJ84Qs5edLm+TaCn6Qx0ttuy4kTy6+88Wa78Urg8cdz9mw2NvKVryx34NBE8BN27NhyGp9Xgr/mFfo4vG9v54knMgz57GfzrncZ2wsJfpIO5vAHI/wbXNKPl+6//31+97vMZvnqVzMMJvCFBD9hGxu5447l8X8Kfhiytpa9vXz/+0ny8Y/nfe8zvHcS/FTN51ldvRL8hQvXXoAbR/K9vZw7l8Uip0/n+HGb5zvZWjtJs9ly8/vBHH5/P7u7OXny9UIe/yrN1lZ+/OP86ld58MEkgu8k+Gm7Ovjt7WsEf+Cee/KlLy2P/W2qSt71aTsI/vLl5XNvXt94Ty7xCPpygp+qcRjf3MzGRnJV8P+e8zDk8uWcPp3vfjc7O268lxP8tG1u5vbbk+Ty5eXnZ15lfOTdz3+exx/P17+e3/wms9mV0Z4+gp+qcQ6+uZnjx5NksVjuvXnV59/GB9E++mhms3zwg/n0pz3oopzgp21zM8eOLY//fYQfb9yNm22GIadP59ZbLc6XE/xUHczhxxE+ec0cfjx67LGcP5+trTz8sM3zuC03YfN53vKWK8FfvJgc3G6bz7O2lr/+NU8+mWHIl7+8nOvTzQg/VQerbwfBX7qUl17K2lqGg2n8U0/lL3/JxkYefjjx5HkEP33jg66SXLqU3d0kGRZDVldz8WJ++MMMQz73ubz73TfxDHnzEPyEjdP4t799+c8XXsg//pEkw/hc2ltvzbe/nYceyiOP5JZbLNcRc/hJG/s9GOH39l4Z4YdkGLK+nk98Ih/96HKhTu0ks8G8brIWi6ys5E9/yq9/nRMn8o535L77cvvtGRbDbEXevA7BH1FPPJE778y99+atb00M7yyZwx8F49NrllfySc6dy+nTuf/+/PSn9tJyNcEfBeMO2tnslU/FPfpoXnwxm5u5++7lf0MSwR8p40a6+TyPPZb9/XzoQ/nYx5YbbCGJ4I+U+TyzWX72szz9dFZX88gjieGdVxH8ETK2feZM9vbynvfkM5/JMHiyDVdzH/6oGK/nhyFf/GJefjmf/OTNPiHejNyWO6Lsq+P1uN47cubz5YNu4DWM8EfR+J4a4XkNc/ijSOpcg0t6KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJ/O4QqlRhuKykAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "db59cadd4ff37eb1a62f344d68d058ca92c64e377957fd753faffb335bc04bf2"} +{"episode": 85812, "episode_seed": 1170552275, "split": "train", "timestamp": "2025-09-16T00:20:38.106297", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1170552275, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "action": "('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "action": "('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKs0lEQVR4nO3cSWxVdQOG8ffc28GWwUZTLaFVMZEUKIsiSSkGTUoRUKLiChM1bjTGsHHhEFkYNWrcogkxbnThwhjUxERaEUQIMRCHVuYW02qDaYBUBApp73C+xTlfbwvIx0db7vA+v7Cgd2hOKc/9D+fcG4RhKAAeEvk+AAA3DsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCBy4ThkqnFYb5Po6pF4Sl+FMBuCJGeGCcaPz7/Xe9957On5ekbDa/RzS1yvJ9AEDBCEMFgf76Sw8/rGPHdOGC3ngjd3tJYIQH/iuq+tZb1dwsSW++qU8/VSKhTCa/xzWFWMMD42SzSiR06pTWrdP+/brlFn3zjVpaSmaQJ3hgokxGyaQOH9aaNRoY0OLF6uzUnDml0TxTemCiZFKZjBYu1ObNmj1bBw5o40alUvk+rKlB8MBlEgmlUnrsMb38soJAX3yh115TECiTKfaT8wQPXCYIVF6uMNSmTdqwQTU1amrK9zFNDdbwwFWdO6eeHt17b3xCPpEo6sU8wQPXYCzyVEplZcUbPFN64KrCUJmMgkAXLmjTJj3xRFGv5AkeuKogiCfzHR165x1t3apXX83dWGwIHvhfysqUyWjNGj3zjCRt3qwPP4x38osNa3jgGkRr+OFhrV2rPXtUV6fPPtP998dX6RQPggeuTdR8b6/a2/Xnn2pqUkeH5s6Nr8YtEkVzoECeBYHCUPfcoy1bVF2tgwf17LP655/49iJB8MA1CwKl03roIb31liRt26Yvv1QQFNFZOt4PD/w/kklls3rxRR0+rMpKrV8vKT5vVwwTe9bwwOSM7dsVwxV4RfCaBBS0ZFLd3Tp+vChOzhM8MDlbt+rRR/Xccxoakgr9M/AIHrhe0XL41Cn98Yd27dLbb0+4vSARPHC9ohX7889r40aFod5/Xx9/HL+drlCxaQdMQnTVzdCQNmzQ9u2aMUPbtmnFioK9GofggcmJdukPHdK6derv17x52r1b9fWFuWlfiC9CQDGJPgNv0SJ99JFmzVJfn55+Wv39CsMC3MAjeGDSoubb2/Xuu5Li2gtySs+VdsBUSCSUzeqFF5ROa+1azZsXL+MLbGLPGh6YBuM7L6TmC3HWARS3bFZBoJMn9frr6u0tnNrFCA9MsSioVEpPPqnPP1d7u776SlVVBfKmOkZ4YEqNvT1+6VJVV+u77/TKK4WzgVcoxwGUjiBQWZleeklPPSVJW7bogw/i99LnG1N6YBpEG3Wjo1q7Vjt3qqJCX3+tBx9UOq2yfJ4aY4QHpkE0sa+o0Cef6O67tWSJ6uok5X1uzwgPTLOeHtXU6LbbCuH8HMED02ks8gKoXVxpB0yvsY/ByfdkPsIIDxgpiFcdADcGwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGyvJ9AChxYRj/JQjyehyQRPCYDmEY/0kk6LywEDymTDarbFZhqPLyXOfDwxoa0pEj6ujQunVqa1M6rTL+3+UJ//CYrGxWmYwklZcrkYhv6etTX5+6urRrl/bs0dmzklRVpba2fB4qCB7XKRrMg0CJRNz56dPq7lZ3t7q69NNPOnIkfmQQaMYMXbyovXt15oxqapTNxk/BDUbwuCaX772NFdvdrR9+0L596u3V8eP6++/49mRSQaB0WmGo4WFVVamhQRcvqqaGhX3eBOHYbxKY6Cp7b6dOadcubd+u/fs1OKjTp+NZ/eUWLtSqVWpr04IFqq3VzTdTez4xwuNS0Vw9m52w9zYyorNn1dOjHTv07bf69VeNjFw58pkzVVOjZcu0apVWrlR9vSorb+Th42oIHrHxe+ySkklJOnFCAwPx3tv33+vkyfjBl6zAq6vV0KA771Rrq9radN998dPHRDOFIGB4zzOm9O6izoMgl+j58/rtNx06pK4u7dunn3/OPbiiQum0stn4yzvuUFOTmpq0dKmWLVNDw4RvG7VN4QWF4O2M/4WPr/HYMf34o/bt09GjOnpUg4Px7cmkEgmlUrkvW1u1fLmam9XYqMZG3XRTfFc6LSm3aY8CRPAW/m1GPTys3bu1c6f27tWJExoc1OhofFcQTHhpuOsurVyptjY1NWnOHNXW5u4aHY0jp/PCR/BeMhkND6uvTzt2qLNTv/yic+c0MnKFR1ZWatYsNTdr9Wq1t2vePM2YkZv2h6EymfgkPJP2IkLwpS+T0ZkzOnFCBw9q507t2KH+/ty940fyigrV1WnuXLW2qr1dK1Zo5swJ32pspiAW58WJ4EvfyIgef1ydnbmzaOXluethJd1+uxobtWCBWlq0fLnmz889998W/ChSnJYrcdmsKis1MKAwVGVlPHuPduCWLFFLi5qbtWiRFi/WrFnxUzKZ+GIbpuulh+BLXFTsI4/owAGNjKi2Vm1teuABNTervl719blHplLxmvySU+goJQRf4qLg169XIqHVqzV/vmbPnnDpWyoVj+TR9TYobazhHUVXzkZn6Zi0WyF4I3zaFJjSG6FzcG0UYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5DxeVnSuIOHbAAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKs0lEQVR4nO3cSWxVdQOG8ffc28GWwUZTLaFVMZEUKIsiSSkGTUoRUKLiChM1bjTGsHHhEFkYNWrcogkxbnThwhjUxERaEUQIMRCHVuYW02qDaYBUBApp73C+xTlfbwvIx0db7vA+v7Cgd2hOKc/9D+fcG4RhKAAeEvk+AAA3DsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCBy4ThkqnFYb5Po6pF4Sl+FMBuCJGeGCcaPz7/Xe9957On5ekbDa/RzS1yvJ9AEDBCEMFgf76Sw8/rGPHdOGC3ngjd3tJYIQH/iuq+tZb1dwsSW++qU8/VSKhTCa/xzWFWMMD42SzSiR06pTWrdP+/brlFn3zjVpaSmaQJ3hgokxGyaQOH9aaNRoY0OLF6uzUnDml0TxTemCiZFKZjBYu1ObNmj1bBw5o40alUvk+rKlB8MBlEgmlUnrsMb38soJAX3yh115TECiTKfaT8wQPXCYIVF6uMNSmTdqwQTU1amrK9zFNDdbwwFWdO6eeHt17b3xCPpEo6sU8wQPXYCzyVEplZcUbPFN64KrCUJmMgkAXLmjTJj3xRFGv5AkeuKogiCfzHR165x1t3apXX83dWGwIHvhfysqUyWjNGj3zjCRt3qwPP4x38osNa3jgGkRr+OFhrV2rPXtUV6fPPtP998dX6RQPggeuTdR8b6/a2/Xnn2pqUkeH5s6Nr8YtEkVzoECeBYHCUPfcoy1bVF2tgwf17LP655/49iJB8MA1CwKl03roIb31liRt26Yvv1QQFNFZOt4PD/w/kklls3rxRR0+rMpKrV8vKT5vVwwTe9bwwOSM7dsVwxV4RfCaBBS0ZFLd3Tp+vChOzhM8MDlbt+rRR/Xccxoakgr9M/AIHrhe0XL41Cn98Yd27dLbb0+4vSARPHC9ohX7889r40aFod5/Xx9/HL+drlCxaQdMQnTVzdCQNmzQ9u2aMUPbtmnFioK9GofggcmJdukPHdK6derv17x52r1b9fWFuWlfiC9CQDGJPgNv0SJ99JFmzVJfn55+Wv39CsMC3MAjeGDSoubb2/Xuu5Li2gtySs+VdsBUSCSUzeqFF5ROa+1azZsXL+MLbGLPGh6YBuM7L6TmC3HWARS3bFZBoJMn9frr6u0tnNrFCA9MsSioVEpPPqnPP1d7u776SlVVBfKmOkZ4YEqNvT1+6VJVV+u77/TKK4WzgVcoxwGUjiBQWZleeklPPSVJW7bogw/i99LnG1N6YBpEG3Wjo1q7Vjt3qqJCX3+tBx9UOq2yfJ4aY4QHpkE0sa+o0Cef6O67tWSJ6uok5X1uzwgPTLOeHtXU6LbbCuH8HMED02ks8gKoXVxpB0yvsY/ByfdkPsIIDxgpiFcdADcGwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGyvJ9AChxYRj/JQjyehyQRPCYDmEY/0kk6LywEDymTDarbFZhqPLyXOfDwxoa0pEj6ujQunVqa1M6rTL+3+UJ//CYrGxWmYwklZcrkYhv6etTX5+6urRrl/bs0dmzklRVpba2fB4qCB7XKRrMg0CJRNz56dPq7lZ3t7q69NNPOnIkfmQQaMYMXbyovXt15oxqapTNxk/BDUbwuCaX772NFdvdrR9+0L596u3V8eP6++/49mRSQaB0WmGo4WFVVamhQRcvqqaGhX3eBOHYbxKY6Cp7b6dOadcubd+u/fs1OKjTp+NZ/eUWLtSqVWpr04IFqq3VzTdTez4xwuNS0Vw9m52w9zYyorNn1dOjHTv07bf69VeNjFw58pkzVVOjZcu0apVWrlR9vSorb+Th42oIHrHxe+ySkklJOnFCAwPx3tv33+vkyfjBl6zAq6vV0KA771Rrq9radN998dPHRDOFIGB4zzOm9O6izoMgl+j58/rtNx06pK4u7dunn3/OPbiiQum0stn4yzvuUFOTmpq0dKmWLVNDw4RvG7VN4QWF4O2M/4WPr/HYMf34o/bt09GjOnpUg4Px7cmkEgmlUrkvW1u1fLmam9XYqMZG3XRTfFc6LSm3aY8CRPAW/m1GPTys3bu1c6f27tWJExoc1OhofFcQTHhpuOsurVyptjY1NWnOHNXW5u4aHY0jp/PCR/BeMhkND6uvTzt2qLNTv/yic+c0MnKFR1ZWatYsNTdr9Wq1t2vePM2YkZv2h6EymfgkPJP2IkLwpS+T0ZkzOnFCBw9q507t2KH+/ty940fyigrV1WnuXLW2qr1dK1Zo5swJ32pspiAW58WJ4EvfyIgef1ydnbmzaOXluethJd1+uxobtWCBWlq0fLnmz889998W/ChSnJYrcdmsKis1MKAwVGVlPHuPduCWLFFLi5qbtWiRFi/WrFnxUzKZ+GIbpuulh+BLXFTsI4/owAGNjKi2Vm1teuABNTervl719blHplLxmvySU+goJQRf4qLg169XIqHVqzV/vmbPnnDpWyoVj+TR9TYobazhHUVXzkZn6Zi0WyF4I3zaFJjSG6FzcG0UYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5DxeVnSuIOHbAAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "action": "('move', [164.63519605790717, 174.69622838372086, 56.782325483007675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3bc9bcb3549c926f14dd611761be11612f7fb07add990c6ded4e672278739b5c"} +{"episode": 85813, "episode_seed": 364216183, "split": "train", "timestamp": "2025-09-16T00:20:38.716403", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 364216183, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "action": "('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "action": "('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALG0lEQVR4nO3dTWxU5R7H8d85M4W21ktoFyWmGolCiC1tCQEJURYukGA0KC82jSsIMYaFUdmwMSYmLFBjUBN0YdQYokaiQuyidmHUiBII8tJ20SpCi3WBwTS8FDudOXdxTnKTG156O3M7nPP7flZsGJ9k/PKfOc8z5wRRFAmAh7DaCwAwewgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMHjpkolFQqKomqvA5URRLyXgA0mPG5sclIDA9q3TxcuSGLOZ0C+2gvAbalYVC6nc+f07LM6fFhNTdqyRUFQ7WWhXEx4XE8YSlJzs+bMURTphx+qvSBUBsHjeoJAhYL+9S91dkrS999XeT2oEILHTbW3q6ZGQ0MaG6v2UlABBI8biD/VL1um+fN17Zp6eiSpVKruolAmLtrhBsJQUaQHHtDatZLU0SGJ63Zpxz48buXKFdXUJFfvCD7lCB7TUColn/CRcryLuJUoUhhqYkKXLlV7KSgXweOm4o/x+/apq0vvvCNJhUK114SZI3hMwzff6NAh9faqUFAuxxnb9CJ4TMPmzcrn9ccfGh5WGLI5l14Ej2l48EEVi/r9d/X3K4qY8OlF8LipeB+upUVLlqhY1MAAO3OpRvCYhpoaPfywJA0MaGJC+TxDPqUIHrcSb8s99JCCQKdPa2RE4oxtWhE8biUe5h0diiINDens2SqvB2XgLD1uJf7S3tysRx9VLqcFCyRx8C6lOFoLGGHCY9pKJRWLCgLlclyrTykmPP53/GwutfgmhmmIp8LEhPbu1YoV+uCDai8IM0TwWVYqqVSq0JZ5FKm2VocP69gxff11JV4RVUDwmTU1pTBUGFbi03d8T8sgUGengkA//6xr1yqwRMw6gs+sfF5nzujVV3X0qFT+UyTifbi2NtXW6s8/NThYiRfFbCP4DIoiTU5q9249+aReflmvvJKM57LyjIPv7NS990rcuDqtCD6D4o2zo0d16pTq69XXp2PHyn7RMNTUlFpadM89kpJHU3DANm0IPoNKJeVy2rVL+bwmJ1Uo6PXXpfJvORvvxi1frjBUf7+mprgZRuoQfAbFn96XLtWmTcmlu0OHdPy4oqi8kRx/ql+1SqWShoZ0+LDE1/iUIfgMCgIVi6qr0zPPqL5eQaCpKe3ZU/aEj4NfuVKPPaYtW3THHZVYLGYVJ+2yKb4tzdWr6upST4+CQPPm6bvv1N6ePBi2LJcvq6GhMgvF7GLCZ1M85Bsa1N2t+npJGh/X229LqsQtqhoaNDVV/iIx+wg+s/J5FYvatEnt7Unhvb06eVL5fNkX16MoeRU+HqYNwWdW/I19zhw991xy5G50VJ98UqFO9+zRmjXJoXqmfXoQfJbFz4Ps7taSJcme2mefaXg4Gf4zF0X64gv9+KOOHGHIpwvBZ1k85PN57dyZbM6fPauDB1UqlXfFPgy1bp2CQENDuniRe1qmCMFnXBz25s26/34ViwpD7d2rCxeS4T8T8V9bvVpRpP5+/fabxJG71CD47IsiNTTopZcURcrlNDamTz+Vyjx4t3ix5s3TX3/pzJnkv4E0IHgXGzZo0aLk4N0bb+jKlfIibWzUihWSdOJEctGe5tOA4LMvPmm7YIG2b0/uMT86qvffVxCU8Un8zju1apVyOZ04ofHxSi4X/08EbyEO+6mntHBhcn3+3Xd1+fKMXis+0xMEWrZMxaJ6e3X+vMSn+nQgeAu5nIpF3XefuruTIf/rr9q/P/nN6wwtWqRHHtH27Wpqksr/LR5mA2fpXcSX6AcHtX69RkcVRVq9Wr29ycHbmTxXolDQpUuaP5/UU4QJ7yKX09SUWlu1fn0y5I8c0cGDZTzuvaZGjY3Uni4EbyT+kdyOHWpqUhSpWNTHH2tiQrncTJvnWfFpQ/BG4mHe1qZ165I9+W+/VV9fGUM6CJjw6ULwXuItul27VFMjSZOT+vBDXb1axsE7pArBe4lHcmurNm5Usah8Xj09On682svCbCF4O/H37p07kw/jk5N66y2eFueC4B0Fgdra1NWV3Hj288916hT3s7BA8HbiE7Vz52rrVtXVJYN99+4ZbcUjbXiTHcXNr1qltWuTn9P09GhgQOKAbNYRvKM4+PgWl3V1yf1tX3stOSaPDCN4U/Hp+g0btHJlchmvr08nTpR99yvc3gjeVLwhP2eOtm5VPq8w1NiYPvqo7KfT4PZG8L7iB8M9/bSWLk225b76SoODqqlhyGcWwfuKh/zcudqxIwn+7Fl9+SV78lnGz2OhiQl1dGh4WGGou+7STz+ppUWlEht1GcRbCtXV6YUXJCkMdf68DhxI/ozsYcK7i9//v//W8uUaGZGklhadPKl58yRuY5M5/DPuLk66sVHPP588rGJkRPv3k3o2MeGRPED63DmtWaPz51UqafFi/fLLfw7eIjOY8EgO4dx9t7ZtS67VDQ8nQ579uYwheCTCUBs3auHC5Fv9e+/pn3+SrTtkBsFDknI5FQpqbdXjj0tSEOj0aR04oDBkyGcKwSMR3+Jy2zY1NyuX0+Sk3nxT4+Nl3OIStx+CRyJ+KEV7u9auVaGg2lq1tenixWovCxWVr/YCcBuJT9e/+KLq6vTEE1q/XlJyE3tkA9tyuKH4fw125rKEf7rx3+LO42fOUXvGMOFxHfxgLquY8LgOas8qggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPk3OCqtGR0FNeMAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "action": "('move', [1.5121456761900725, 2.203667492200701, -11.771510774080545])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALG0lEQVR4nO3dTWxU5R7H8d85M4W21ktoFyWmGolCiC1tCQEJURYukGA0KC82jSsIMYaFUdmwMSYmLFBjUBN0YdQYokaiQuyidmHUiBII8tJ20SpCi3WBwTS8FDudOXdxTnKTG156O3M7nPP7flZsGJ9k/PKfOc8z5wRRFAmAh7DaCwAwewgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMHjpkolFQqKomqvA5URRLyXgA0mPG5sclIDA9q3TxcuSGLOZ0C+2gvAbalYVC6nc+f07LM6fFhNTdqyRUFQ7WWhXEx4XE8YSlJzs+bMURTphx+qvSBUBsHjeoJAhYL+9S91dkrS999XeT2oEILHTbW3q6ZGQ0MaG6v2UlABBI8biD/VL1um+fN17Zp6eiSpVKruolAmLtrhBsJQUaQHHtDatZLU0SGJ63Zpxz48buXKFdXUJFfvCD7lCB7TUColn/CRcryLuJUoUhhqYkKXLlV7KSgXweOm4o/x+/apq0vvvCNJhUK114SZI3hMwzff6NAh9faqUFAuxxnb9CJ4TMPmzcrn9ccfGh5WGLI5l14Ej2l48EEVi/r9d/X3K4qY8OlF8LipeB+upUVLlqhY1MAAO3OpRvCYhpoaPfywJA0MaGJC+TxDPqUIHrcSb8s99JCCQKdPa2RE4oxtWhE8biUe5h0diiINDens2SqvB2XgLD1uJf7S3tysRx9VLqcFCyRx8C6lOFoLGGHCY9pKJRWLCgLlclyrTykmPP53/GwutfgmhmmIp8LEhPbu1YoV+uCDai8IM0TwWVYqqVSq0JZ5FKm2VocP69gxff11JV4RVUDwmTU1pTBUGFbi03d8T8sgUGengkA//6xr1yqwRMw6gs+sfF5nzujVV3X0qFT+UyTifbi2NtXW6s8/NThYiRfFbCP4DIoiTU5q9249+aReflmvvJKM57LyjIPv7NS990rcuDqtCD6D4o2zo0d16pTq69XXp2PHyn7RMNTUlFpadM89kpJHU3DANm0IPoNKJeVy2rVL+bwmJ1Uo6PXXpfJvORvvxi1frjBUf7+mprgZRuoQfAbFn96XLtWmTcmlu0OHdPy4oqi8kRx/ql+1SqWShoZ0+LDE1/iUIfgMCgIVi6qr0zPPqL5eQaCpKe3ZU/aEj4NfuVKPPaYtW3THHZVYLGYVJ+2yKb4tzdWr6upST4+CQPPm6bvv1N6ePBi2LJcvq6GhMgvF7GLCZ1M85Bsa1N2t+npJGh/X229LqsQtqhoaNDVV/iIx+wg+s/J5FYvatEnt7Unhvb06eVL5fNkX16MoeRU+HqYNwWdW/I19zhw991xy5G50VJ98UqFO9+zRmjXJoXqmfXoQfJbFz4Ps7taSJcme2mefaXg4Gf4zF0X64gv9+KOOHGHIpwvBZ1k85PN57dyZbM6fPauDB1UqlXfFPgy1bp2CQENDuniRe1qmCMFnXBz25s26/34ViwpD7d2rCxeS4T8T8V9bvVpRpP5+/fabxJG71CD47IsiNTTopZcURcrlNDamTz+Vyjx4t3ix5s3TX3/pzJnkv4E0IHgXGzZo0aLk4N0bb+jKlfIibWzUihWSdOJEctGe5tOA4LMvPmm7YIG2b0/uMT86qvffVxCU8Un8zju1apVyOZ04ofHxSi4X/08EbyEO+6mntHBhcn3+3Xd1+fKMXis+0xMEWrZMxaJ6e3X+vMSn+nQgeAu5nIpF3XefuruTIf/rr9q/P/nN6wwtWqRHHtH27Wpqksr/LR5mA2fpXcSX6AcHtX69RkcVRVq9Wr29ycHbmTxXolDQpUuaP5/UU4QJ7yKX09SUWlu1fn0y5I8c0cGDZTzuvaZGjY3Uni4EbyT+kdyOHWpqUhSpWNTHH2tiQrncTJvnWfFpQ/BG4mHe1qZ165I9+W+/VV9fGUM6CJjw6ULwXuItul27VFMjSZOT+vBDXb1axsE7pArBe4lHcmurNm5Usah8Xj09On682svCbCF4O/H37p07kw/jk5N66y2eFueC4B0Fgdra1NWV3Hj288916hT3s7BA8HbiE7Vz52rrVtXVJYN99+4ZbcUjbXiTHcXNr1qltWuTn9P09GhgQOKAbNYRvKM4+PgWl3V1yf1tX3stOSaPDCN4U/Hp+g0btHJlchmvr08nTpR99yvc3gjeVLwhP2eOtm5VPq8w1NiYPvqo7KfT4PZG8L7iB8M9/bSWLk225b76SoODqqlhyGcWwfuKh/zcudqxIwn+7Fl9+SV78lnGz2OhiQl1dGh4WGGou+7STz+ppUWlEht1GcRbCtXV6YUXJCkMdf68DhxI/ozsYcK7i9//v//W8uUaGZGklhadPKl58yRuY5M5/DPuLk66sVHPP588rGJkRPv3k3o2MeGRPED63DmtWaPz51UqafFi/fLLfw7eIjOY8EgO4dx9t7ZtS67VDQ8nQ579uYwheCTCUBs3auHC5Fv9e+/pn3+SrTtkBsFDknI5FQpqbdXjj0tSEOj0aR04oDBkyGcKwSMR3+Jy2zY1NyuX0+Sk3nxT4+Nl3OIStx+CRyJ+KEV7u9auVaGg2lq1tenixWovCxWVr/YCcBuJT9e/+KLq6vTEE1q/XlJyE3tkA9tyuKH4fw125rKEf7rx3+LO42fOUXvGMOFxHfxgLquY8LgOas8qggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPk3OCqtGR0FNeMAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "80e43754d79a5af7a1712db987e5f3aabcc2995bbf5433ab59a562e9511b108f"} +{"episode": 85814, "episode_seed": 298653014, "split": "train", "timestamp": "2025-09-16T00:20:39.321253", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 298653014, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "action": "('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJNklEQVR4nO3dT6ilZQHH8d8959w7lv1DSUgwhv4tHDDQcJFIkGEwBU0bW8SUVqIIli7E6Q+IQbUoMAldlPRHQxnHaSoX5SKiIqlttKoWoisLw8Bx5p65554W541JmaDMmXvO/X0+3OVZvFzu9zzP8z7P+961+XweoMNopy8AOHcED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UET7X5fKev4NwSPL3m86yt7fRFnFuCp9F8PtT+9NNJsr290xd0rgieOovU19byyCO5/PI8+GBGo2xt7fRlnRNr87ZFDN0Wf++nTuXb386dd+bEiZx/fg4fzv79mc0yHu/09Z1lRni6rK0NI/yf/pQXX8x4nBdeyCc+kV//OuPx7h/njfDUWSzgNzdzww05fDjr6zl1KpdckmPHcsUVu3ycFzyNtrczGmVzMwcO5Oc/z5492dzMvn35yU/y9rfv5uYFT6lF83//ez70ofzud9nYyHSaq67Kj36Uiy7atTt21vCUGo0yn+eCC3L4cC69NNNpJpP89re5/vo8//yw1N99BE+vRdVvfWuOHMm73pWtrWxs5Gc/y6235uTJZDeewxM81dbWMpvl0kvzwAO5+OJMpznvvPzwhzl0aNir32XNC552i924q6/O/ffnDW/IyZPZ2Mi99+buu5N/3dLfNdy0gyTDnfkf/CA33pitraytZXs799yT227L1lYmk52+vleJ4OEl7r03t9+e0Sjb25nP873v5frrd89GnSk9nDab5XOfy5e+lNkso1FGo9xySx5/POPxLnnAxggPp83nQ+qf/Wzuuy+TSba2csEFefTRXHPNbpjbCx5eYjGSz2b59Kfz0EPDIby9e3P4cK68cuWbFzy83OIQ3smTue66PP54zjsvJ0/m3e/OkSN55ztXez0veDiDRfPPPZePfjS/+c3wgM3VV+exx1b74K3g4cwWVT/zTD784fzhD8N6/oMfzJEjef3rV7V5d+nhzBZb8ZdckocfPn3w9oknctNNw2PzqzhWCh7+o9Eop05l37585zt5y1synWbPnjzySG67bVUP3u7olH4xK3ruuTzxRI4fz3Sazc3hZzrNiy/m2mtPv3noi1/Mk09mMsmJEzlxIpub2drK3/6W97wnR4/mda9b1TkWS+/Uqayv58c/zsGDeeGFYW7/hS/kK1/J1lbG41X6u9vRHYbt7YzH+ctf8vGPn/kD02n27x9+qT/9af74xzN85plnMp0mle8c5pxYX89slgMHcv/9+cxnhoO3X/1q3vSm3HHH8HWwKnY0+EWfb3xj3ve+HD+ePXsyHmcyyWSS9fWMx7nyyiTDHsgNN+TPfx4+s7GR9fVsbGQ+z969ec1rkmRkecLZsjhpd/Bg/vGP3HprJpNsb+fzn8+FF+ZTnxpu6a+EJbhLP53m2WeTZH19qH3xs4jfoM3SWJy6+fKXc9ddw/szzj8/Dz2UAwdWZn65BMH/l2az4WmGlxmNVvvoEytlcUPp9tvzzW8Oi/kLL8yjj+b971+NAznLEfzLnkv496/KlfjapMZiJN/ezo035rvfHQ7h7d2bo0dz+eUrcPB2OYKH1bFYsR8/noMHc+zY0Pxll+Xo0bzjHcs+zgse/meL5v/611x3XX71q+GNt+99b44dy0UXLfU9PMHDK7Go+qmn8pGPnD54e801OXZsqQ/eLusXESy3xStx9u7Nww/nbW8bDt7+4hfDLt3SHsITPLxCi/85u29fHnwwb35zptNsbOSxx3LTTcMHlrB5wcMrt5jJX3VVvv/9vPa1mU4zHueBB3LHHcPLc5atecHD/2UyyWyW/fuHXbq1tYxG+cY38vWvD1t0S9W84OH/NR5nNsvHPpZ77snW1vD2y7vvzre+ldksWabmBQ+vgsV/s7j55nzta8PTNSdO5Pe/H56iXZ479oKHV8dkkvk8hw7l0KHMZvnkJ3PffRmPl2h4j314eBUttt+ffz6//GU+8IFl3JAXPJwty1Z7TOnhbFgMo8tWewQPZ8MSpr4geCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyT3uLOru+yQaeAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "action": "('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "action": "('move', [-6.5042935203360885, -0.10484276841893904, 16.48587858805226])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFC0lEQVR4nO3awW7TWBiA0d+NnbLmBZB4GvbwLjw0bNggWkI8i7ZMkQaY2TRlvnPkWDdeRPbii29uvOz7PkDD1aVPAHg6gocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGCh5D10ifwg33/D8cfH1yWufLdBb+z7D+LDPjfeRZ3+PN5bm7m5mZub+fLl7m9vX/7b46cTvPx47x5M+/eXfoy4Nm7ZPBfv87r1/Pp0+z7/fz8bvB4/LPB9/26zuk0L17M27ezLLPvsyyXuBj4E1wy+H2fDx/m9nZm7it93Oq+zz6zn3/zIafTzMznz/Pt26zPYr4Cz9eFE7m5uR/8uJKwP2zL3f8IyzLr4bytsx6XbVvWdbZt7vbX13M+z6tXT3/u8Oe5ZPCHw7x/P1dXczzO9fVs2xyPczzOti3rYdbDrNus26zrrOush9nWWbc5PNR+t23bzMzLl/e3d/N5+AWr9BBy4Sn9L1bjZma5f/3tH448/Ph3b4ffuvwyl1bhyVz48TSpw1PyPCqECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5C/gJnLod8s//GfQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "95e11650e73e57cf4f56c8c814357fe63b13dccc42f56c41571c3322a8e170a6"} +{"episode": 85815, "episode_seed": 1635691035, "split": "train", "timestamp": "2025-09-16T00:20:40.266165", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1635691035, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "action": "('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "action": "('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKtUlEQVR4nO3d3W8U1QPG8WdmtyBgVGwQ5SUEjAYNYEwRBLRoqC1SbCKkJogXeOeFif+PiSFqglGISk0gVQKWlxKgwQsaghW1GhWkmiZQoS/bmd/FmWyhFIPane2vz/dzud23Xnz3zJxzZjdK01QAPMTVfgMA8kPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB6otTZWm+bwUwQPVFkWKonyaJ3igqpJEAwNKU0VRDq9G8EBVDQxo5069845++EGSkqSir1as6LMDuKMwqp8/r7Y2SVq3TsuWaXRUcQWHYYIHqiQcw3/0keJY69apsVGSipVNkkN6oCLS9C4Oz69f1759ShKtX6/aWpVKlT6TZ4QHJlOaanRUkorFv403SRRF2r9fv/2muXPV3JzP22OEByZB6Hx4WFGkYlHFogYGdPGiSqU7PyaKtGePJK1apfp6JYkKhUq/T0Z44D9JEiWJ4liFggoFDQ3p1Cl1damjQ93dOnpUCxfetugWHtDbq64uxbFefllRpFJJNTWVfrcED/xj5T0yUaQ4zqbVOzr01Vc6fVpnz+rPP7M7dHaqtfW2Y/tSSTNm6L33dPmy5szRzp2SchjeRfDAXSrvf43jWwI+elSffqqjR/Xzz2Odx3E2Y/fhh2ptve25wlT8m29qzhz19WnRIqVpRVfjyqI0r028wP+jMNmepmPrZWmqa9d07pz27VNbmy5d0o0b4x91zz2aP1+bN+v111VfP9GTjo5mzxgW3nPZZieCB+4kSbIYy8faP/2knh4dPKjPPlNvb3ZjeTCX9MADWrJE69dr+3Zt3FjpNfV/g+CBW9y8rhb09OjsWXV2qr1dPT3ZjTU1KpWyg/y5c/X006qrU0ODNm0a+4CYYIN8uKm/X6dPa9UqPfJIDv/RzabeRxBQDSHdcCodUv/uOx06pJMndeaMLlzI7lZTk438IyOaOVObNqm+XmvWaO1azZ4tSUmiUimbyZvgOD2svR0/ru3bVVenvXu1aFE2aZ8LgoevMA8XWgtxRpF6e7V/v778Ut9+q++/z+4Zx9mdR0YUx9qyRS0teuYZPfqo7r8/u0/4U/nzYuLXKxRUKunQIY2MaHAwW4fL6wReBA9DYRIurKiF1kZG9Msv+uIL7dun8+fV3z9+V2yaavZsbdig115TQ4PmzcvGcynbWlMo3PUi+u+/a+9eSdq1S/Pn5zm8i+DhI+yQSdOxMvv79euvOnJEn3yizs4Jtr4Xi1q4UE8+qW3b9Mormj9/7E9h9v7vxvMJpamOH9elS6qt1bp12S05InhMc6HMJFFNTTaU/vGHzp3TmTNqb9fhw9ndwtb3MF0naeVKrVihF19Uc7MWLBj/hJKi6J/vlAmHE++/L0kvvKAVK3Ie3kXwmMbKp+hh0+u1a/r6a504oVOndOKERkYkqVhUHGt4ODsyf+op1ddr7Vo995yWLMmeJ0zChe+h0n884/7xRx0+rDjWxo2aPVsjIzlsp70ZwWPaCokODqq9XQcO6JtvdOGCrl3L/losqlTKOl+xQi0tev55PfHELZ1LKhQmaTk9DOYffKChIS1dqs2bs2fPF8FjugkTcgMD6ujQxx/r2DFduaLr18ffLUm0fLm2bVNLi5Yt07x5Y7ePjk5e5+N0d6tQ0Nq1euwxlUr5b81h4w2mlVB7qaS339a7704wI/bgg1q8WFu2qLVVK1feUtzoaHZQUMFlslJJXV2qqVFdXf4n8GKExzQTai8WVVcnSYVCNg+3YIEef1wbNqilRWvW3PKQfz8J94+EI4diUc8+m92Se+0ieEw/YXxes0b33acoUkNDNglXDi0sv03OJNzdK19GW/6AqQYO6TE93bihkyc1Z47q6rLj9vLJed4jazjkaGvT559rxw699FK+L38Lgsf0NzycdV6FYbXc1xtvaM8eNTXp4MFqDe/ikB7TWDh7j2PNmFG9NxGulunuVmenokjNzVWsXQSPaSz3Re476+xUb6/uvVdbt0oTXjebE761FqiYcHncX3+prU1RpFdfHb9NN3cED1TYxYs6ckRpqq1bNXNm9o30VULwQMWEsA8c0I0bWr5cq1dLeV8eNw7BA5U0OKjdu5WmamzU0qVV2V13MybtgEpKEjU1adYsNTVl199W9astWYcHKqY8G58kGhrSrFnVfkMED1RUmmY77aq6/F7GOTxQAWEcvXxZUvYVF1NjZCV4oALCLr+33tLixdq9W1E0RYJn0g6YbOEanfDjFX19unq12m9oDCM8MNnC1poDB9TXp9pa7dghVe162HEIHphU4Xcnr15VR4eiSI2NeughieCBaSl8UdaJEzp2TGmqXbvGfmh6CuAcHphUYSPdrFnZz9OsXj11ZuzEOjxQKcPDunJFDz88pX41muABI5zDA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkfK7Bvl26esgkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "action": "('move', [6.516459971017908, -1.4040978650663867, 26.016581788749836])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c26b68cef6b68623f4c67b7d702cbb49d82796154aa39daf3bc62703d2fa68db"} +{"episode": 85816, "episode_seed": 1062870112, "split": "train", "timestamp": "2025-09-16T00:20:40.873323", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1062870112, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "action": "('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "action": "('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "action": "('move', [3.274102181127208, 2.151037087172679, -7.655833776837265])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8klEQVR4nO3b3a9U1R3H4d+egVNPm1gDmLSU2PiS0GoJRazFN6CNikThRqpR+Wfaf8L7arBJa7SEBEylVsVaq0I0kmhMsRHa9KJgVKIEzuzVixk4vJg2phwOnO/zXJ0zs2eyL+Yza+2113SttQIyDOb7BIBLR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPBcRvq+Wpvvk1jQFs33CUC1VqNRdV0Nh/N9KgudEZ55M+785Mnqulq0qIbDOny4Pv10vk9rQRM886C1mpmp1mo4rKmp+uyz2rO7/eqX/ZYt9eST1ffzfX4LV9dcM3GpnPmsdd3kj5dfrt27Rm+8NfzrG+2LL6uqW7myDhyo6elqbfYwLhbBM7dam6R7dr3vvlu/eaZ/8Q/10d8H/z7aqrqqGgwmY/srr9Q99wh+Tli0Y060NllyX7Ro0u2JE3XkSO3cWTt21Acf1PHjZy4nx1m36enuhuv7Rx7tbryxq1L7nBA8F1nf12hUw+Fkyf3LL+vQ39rrf+me2dH/6aXqa1DnxNyu+XZ3/Q3tZxv6x7cP1661qDS3TOm5OM4e0sf2v93eeqv2/rHbtXP0xYlh1eSpmZmqqqmpuv32uu3W0abNg02bujNfAWbyc0rw/L/GV+mD02Pzhx/Wnj21b1/9+bV25B+tatANavGiOnly/Pzo1jWDTQ90d9xRd91VS5ZUVfV99X0Nh1Kfc4Lna7twsb2qjh6tZ5+tXbvq4ME6dGjy4HBYo9HkRd9f0T/y2PC+e9sPb+5WrJgccOrUZL+N1C8NwfM1jIfiM5P21urzz+rFvfX0r0evvT44dqwbT9fPGA5ryTWjLVu7x58Y/Hh1W7J0MnUfv89gMDsv4NIQPP/buM+q2dSPHGnvvVe/+20991w79smk2q6bDP5TU7V8eVu7pj32xGDzA/XNb53zVlU6nzeC578Zjaof1eKpyb8ff1zvvFMvvVS/f74d+qiquvGu2FOnxs+3lSu71avr/vtr69a69trZ9xl/yszb553g+Qrn7Zb55JPau7e9+mrt29ft3z85ZmqqZmbGI3b/veXdvffV3Xe2e9Z3K38wyXpmxqT9siN4Zl14S+yFF+r5Z0dv7h8cPNidOFFVk7vr46W4q77Rb93aPfRQrVlTP1o12/n4MOP5ZUjwnG80qgMH6umn+j2765//Gnz+eTu9GW5i8eJav75t395t2NC++53uqunJ46dO1WDgJ66XNcFTdfrna++/Xzt31o6nRu9/OOj78wbotmxZd9NNtW1bbdtW1103O4CP99sMBob0K4DgmdwhO3q0Nm+uN9+cXHiPRuOVtrZsWd1yS7f+7tEvHh2uWnXOCy3FXXHspWeS99Kl9eCD9fbb45twbWpx2/jzwZ3r2oaN3caNVTWsC26qSf2KI3iqTi/Lr1tX09N188318MPdT3/Sbr2trr56UGf9HsaS+5XOlJ5Zx4/X4cO1bNnsLXRbXxcYwfMVxutwXWdIX2hM6TlH3+t8ITPCQxDf5BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkP9GarEPpX0rXAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a9d22c495b0654862401b1367b55d2389af212b4b5eb31d4bf114ffe27fc759c"} +{"episode": 85817, "episode_seed": 788743693, "split": "train", "timestamp": "2025-09-16T00:20:41.479729", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 788743693, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "action": "('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4ElEQVR4nO3dbWiV9R/H8c/ZOWdo2zLEosAZ1IOiLAYxigXeURhRghXajeWDiFoQ6txNbulMN7bQUGE+0AwHURBFJWREhCKZmSCjkTLSCqObBcIysDl3zrl6cF2eY3/+aua2c/N5vx7F9MEJfO/7u36/67pOLAgCAfBQlu8PAGDiEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wIhZ8EGgVEpBkO/PAeRHLPD51x8EisXy/SGAfDKY8EGgTEaSYjENDOill9TfLyn6IeAkke8PMM4yGZWVKRbT8LC2bdNrr2lwUH/9pR07FIsx8+GmpINPpxWPS9IXX2j1au3bJ0nTp+uWW5RKKZnkYh5uSv0a/sQJ9fSop0dnzkjS4sVqa9MddzDb4alEJ3zY81df6YUXoiv2O+9US4uefFKSUiklSvR/HLioEvp3Hy5VwrkdBj9ligYGVF6uhgbV12vGjGijjtrhqlSW9OHmnKShIY2O6rrrop9/8onicc2fL0mplOJxVvJwVvzBh/fSJJOSdOCA6ut19dXatUtTp+Z+C0j/+G/AVZE3kMkoCJRM6ocf1Nio2bPV36/9+3XoUPSnOrfUp3aguK/hgyDKuLdXmzZFm3N33aXGRs2apSCIzuRYwwPnFHPwsZj6+rR+vT78UJImTdLKlXr+eVVX5/uTAQWq2K7hMxnFYtHQzmR0333au1eS5sxRd7fuvlticw64oOKZ8EGgdDp3ohau5xsbdfy4mppUX69EQkGgIODUDbiQIpnw2cH+3XfavVsLFujmm6Mdu6EhTZsm8TAccGnFMAyzt8Tv3KnXX9eRI/rmG23dqsmTVVamadNyT8gAuKhiCD4eV1+f1q3TRx9JUkWFZs7MXaVn9+oBXEoBBx8u0UdG1NWlbds0OChJ99+vzk7V1ub+AoB/rfCu4cONt3Bo9/fr6aejA/brr9fq1XruueimOgCXr8AmfHi5HotFl+VlZTpyRMmkHn9c69frxhslBjvw3xXShA+fWh0e1smTqq6Omn/rLWUyWrpU4n544EoVUvCSDh1Sa6umTtX27ZoyJbe2T6fZhweuXMEs6UdG1NGhHTuizblFi/TYY0qnuZcGGEP5Dinsec8eNTerr0+Sqqu1Zo0efFCZDJ0DYyuvRYVXE2fO6M031denigo9+qg6OzV9ej4/FVC68hp8LKZ0WlddpZUrdfq0nnpKixdL7MMD46UwNu2y2+9szgHjqTCC17nvhwnvmQcwPgrpWJvagXFWMMGzjAfGX8EED2D8ETxghOAnSIHsjcIcwU+EdDraoxgZkYgf+UPw4yt89WY8rtOn1dWlOXN04kT0+C8w8Qh+HIVVx+Pq79cTT6i1VQcPat06nT4tMeeRDwVz403JCQd7JqOtW9XZqd9/V3m5zp6VpD17NHdu7t2cwIThcbSxFz4KEI9rYEAvv6xduyQpmdTZs6qq0tq1uv123uWB/GDCj6Xzv6L+jTe0dq1+/VWJhFIpSZo9W5s3q6Ym+pvcaoSJx4QfM9kl+k8/qbFR778ffbHt6KiqqtTSouZmJZP/+KUATDAm/NgYHVUyqXRa776r5mb98osSieiFPXV12rBBdXUSgx35RvBXKvuY3/Hj6uxUb6+kaH+uslLLlmnVKlVUsEWHgkDwVyQ7sd95R52dOnpU8Xj0K6CuTh0dmjtXErWjUBD8f5TdZj95Ui0tevttjYzkDt5aW7V8ua69ljd6oLAQ/GU7/1Udu3drxQodO5Yb7DNnassWzZsnMdhReDgLvjyZTFT7b7+poUEPPaRjx1RernRakyfrxRe1f7/mzYtexkvtKDRM+MuQndiffqrWVvX1Rav6TEY1NVq9Wo88IrEVjwLGOfy/FdZ+6pQ6OtTTozNnclfs9fVatUrV1Vyxo9Ax4S8tO7H37lVTkw4fjqpOp3XTTdq4UQsXSueO4oFCxjX8xWQyuW+pb2vTww/r8GElk9HPn3lGX36phQujZ2CpHYWPCX9B4ZfZSvr6ay1froMHJSkeVzqt6dPV1aUlSyRxqyyKCRP+/wtrP3UqemvFwYMqL5ekdFqLF2vfPi1ZEm3Fx2LUjqLBhP9f2Yl94IBefVWffSYpeuJtxgytWaNnn5U4Y0dxIvic8xfn3d3askWDg9HjbpIWLVJ7u267LXqPDU+zoxhxLBfJTuyjR7VsmT7/XJISCY2O6ppr1N2tpUs1aZJSKcXjrOFRrJjw0R57IqHhYfX2qrVVf/yRe2vF/PnavFm33iqxjEfxcw8+k4l23b79Vu3t+uADSdEy/oYbtGKFmpoktuJRKqyDz07s7du1bl301opwsD/wgNrbdc89pI6S4ht8eKL2/fdatUrvvSede2tFRYXWrFF9vaqqckfxQGmwDn7nTrW36+efo9tpJN17rzZtUm2tJGpHCfIN/s8/VVOjH3+MrtgrK9XQoFdeid4zGQQcvKEE+QYv6eOPtWCBgkC1tdq4UbNmSTzcipJmGnxYdRCorU1DQ9qwQZWVnLqh9JkGHzp/B57a4cA6eJ33jY4s4+GAjSmJ2mHD/dyJ1GGFCQ8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8Db1xEeq/m8ehAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "action": "('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "action": "('move', [-1.8534188674330518, 1.5814151277144406, -1.1138059983075645])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "52ed1115453af596298f5d9d3a3754e2c895dacc4381c7b2edc83631ff830deb"} +{"episode": 85818, "episode_seed": 906400552, "split": "train", "timestamp": "2025-09-16T00:20:42.421136", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 906400552, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "action": "('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "action": "('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHsUlEQVR4nO3dz2tc5QLG8WcmE9MkllZrEyxkIVQql65uXbiRLvSf6FJX3Ysb3YldC15w48qtC3F7/w4X3VyEC6Vt2qqlkP5KMucuZkxiDQgXbqe3z+dDCcNhJmfg9DvvO++cnBkNwxCgw3jRTwB4fgQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRSaLfgIszDDMb4xGC30ePEdG+F46L2SEr6b5NoIvdfNmrl3LykqePs3Vq7l4cdFPiOdC8HWGIaNR7tzJN9/Mt3zwQS5enG/n5Sb4UpNJlpezspInT3LixKKfDc+L4EtNp9ndzXic3d3D5XpeelbpSx2NfOx/QQ2HutT+/uFtb917CB4jfBGHupT37Z0EX+po8Kb0PQRfyqJdJ4e61HR6eNsI30PwUETwpY6O8Kb0PRzqUhbtOgm+1J8X7XxQ10DwpeTdSfClTOk7Cb6URbtODnUpI3wnwZcSfCfBlxJ8J8GXEnwnwZeyaNfJNe3KDEOGJBmmSeYjuxG+h+BfRsMwv+j0Qcp7e0kyHmc8nmU+LB/eXfA9BP9/bhgync4Ln70vH4+ztPTsNH1y5EA/epTHO8PNUXJmtkHwPQT/wjso+eiNyWSe6WiUpaVjHvXgQZaXs7o6H+p//DG3b+fevd//3Rr+9bfkH9mfJmPB9xD8i+HYRfPZxqMz82ceMhrlwYNcv57t7dy7l19+yd27uX8/v/2W+/fz8ce5ciX7+5lMcvVqtrePPnqah7PfEiN8E8G/GI5tbrbxzp1sb+f27fnPO3dy40a++iobG0ny00/56KPcuJFHj559+IULuXJl/qrx3nu5fj1bW9nYyOZmtjbz77/n62Rkgb6L4Bdqfz9PnmQ6za+/Zns7P/+cU6fy4Yfzt9zffpsvvsjubnZ28vjxfOFt5tNPs7mZJCdO5PHj7O7m1Vezvp6trbz5Zs6dy+ZmLl9OMp/wf/dd9vayspLl5UyWszSe/jP5Ohkb3LsIfkFmE/Lvv88nn+TBg+zszLdfupRLl3L2bJKMRrlxI0tLmUxy8mRWV7O2lrW1rK9n+fdF9nfeyQ8/ZG0tW1s5efKYHc1W706denb/j4dkdPCmgRKCX5DpNEtLefgwt24lycpKXnst6+s5f/7wS2Hefz+ff563386ZM9nczMZGNjayuvqH37O+nnff/evd/eHP30cZZRhU3kjwCzIbVS9fzrVr2drKqVN5/fWcPp2zZ/PGG0kyDLlwIV9++ewD9/czDFlaOmZt7y93N7//wQ/qCH5BZjPt8+fz2WfH32E0ynSa/f3DVfrZjT9/CPdfzcidS99J8As1nWZvb17yQdUH58zMToz7n+2ZQoJfqPE4r7yykD27pl0nH8OWOjhnL6b0TQQPRQRfynfLdRJ8nVneFu06Cb6URbtOgocigi9llb6T4EtZtOsk+FLDMD+RzyVrqzjTrtTubqbTPH2aWMBrIvhSp0/nrbcymWRvb1Fn97IAo8HLe6Wdndy9m/E4w5Bz57K8PL8kBy83wUMRU/pSB9e8jq+aamKEhyJe26GI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIfwACY0pv2tpGTwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "action": "('move', [-1.2062908771999885, -0.31339974501766943, 48.014212485996495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f1bfb55eabc5c275b709a8dfbc8729507883ff1e20a4325bf3ffa938a700b5ac"} +{"episode": 85819, "episode_seed": 2006753368, "split": "train", "timestamp": "2025-09-16T00:20:43.029671", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2006753368, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "action": "('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "action": "('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "action": "('move', [4.074301821285542, 6.021801747872736, 31.414452595169355])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e2fb5679a4abeb5986b97bf8232944b35cb97849005bb02e5e6ec5874c94fb5d"} +{"episode": 85820, "episode_seed": 2695655416, "split": "train", "timestamp": "2025-09-16T00:20:43.638666", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2695655416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "action": "('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "action": "('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQElEQVR4nO3dW4hVZQPG8WetvfeMiI1ehOEQKiOd8AAh2Qk1tUlzcoaBKAdsCoLqpkRSsC6CLoKEDtIJKuxCSKlMx0TxUE5pZgVTSVnjgdIOSoo2OTJOOnuv72K9zJffp6mVs/ee5/+72m4HfAf3f9613rXeNVGSJALgIS72AAD0HYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwZexJFE+ryQp9jhQPqKEz0t5ShJF0RleA3+BGb5cRZFOnNAXX2jJEnV0SGKqx7lliz0A/E27d+uxx7Rpkzo7NWKEbr212ANCOWCGLz/pTN7VpZUr1dWlXE5vv81RPc4LwZer0aN1110qFJTP65139PvvxR4QyoFr8OW8wB1FyueVy2nWLCWJ4lgdHVq3TklSpt8Q+o5l8IWCokiZTHhdtiZM0MiR6umRpKVLFUUEj3PwCz6fVxxr82a98YaiSHGsfL7YY7pgmYwKBdXUqLZWkqJIn32mn35SHJf1TzBcdGbB5/OKIn37rR56SPffrwce0KFDymTKsfl8XtmsJk9WRYUkdXbqzTfD+8DZmAWfTulDhmjECEl6/XXNnKkPP1QmU3ZHw+kZydSpuuqqsCKxfn14v9y+FfQds+DjWJKqq7V6tR5/XBUVamtTfb2ef/6/X1MmucSxTp3SsGG64Ybwznff6ZNPOKrHXzELPpUkGjhQTz2lFSs0apQ6O/XjjyoUwkSZvigH6YX3xkZdcokkHTqkdeuk8l6IxMXlei99+l1Hkfbs0ZIleuQRVVcrnw8HypIKhXA4UNoKBZ06peuu09dfS9LEiXrvPQ0ZUi7DR19z/VBEkaJIhYKuuEJPP63qaknKZLRpkxYs0MmT5bJ6nySqrNT06ZIUx2pr06efSkzyOAvX4FPp+e6pU6GP77/X7Nl65hnV16u9Pcz2pX0ElE7j994bBtvVpY8+kli6w1l4By8pjpXLhW6GDlVdneJYGzZo6lQtXy4pHAiUqvQ0fswYjR8fbqdfs0YHD3ITDs7MPvheSaJBg7R0qV55RZdeqoMHNWeO5s5VR0dZnA03NytJlM1q507t2FHs0aBUlcFHuY+kc2WS6MEHtXatJk5UoaAXXlBDg7ZvL+Xz+XQmv+MODRwYXq9YwaIdzowPxenSjSkTJmjNGs2dq1xOW7bopZfCxpQkKdnD+2HDdPvt6ulRHKulRUeOFHtAKEkE/3/SO20HD9bixXrtNdXVaf58ZbNhy03pzZvpIkNFhe68U5IyGR05ovffl0p9wRFF4Hod/pzSmTyOdeyYqqrCgti+fWpv14wZ4QtKJv50LHv3qrZW+/dLUm2tNmzgqRj4X6XykS05cRxWuntrP35cTU1qbNSiReruVhyHjaklIB3pqFGaMSOceWzfrn37JCZ5nI7gzy69Oae3mJ9/1qFD6u7WwoWaM0d79yqbLZGnaESRenoURZoyJVxkPH5cy5aFFQmgF8GfS5q9pKuvVmtrOFF+913V1WnVKmUyJXLJO73xZvJkjRkTdgOsXRvW8EpgdCgVBH/eCgUNH65ly/Tcc6qq0u7damrSwoXq7CyF5tMzjMsu0003hXd27dLnn7N5Dqch+POW3l2fzWrePK1fr2uv1R9/aNEizZ+vkycllcI2uyTRzJmqqpKko0e1enUYF5Ai+AvR+xi8G29Ua6vuu09VVbrlFuVy4clZRT1pTu+fnzFDNTWSlCT6+GMdPRouKQIi+AuWXopPEg0erFdf1datampSFCmb1YkTOnBAmYx6eooy1acX5ONY06eHHz5ffaVt20p8NwD6FMH/LekyXkWFxo0L7/T0aMEC1ddr+/YwpRaj+fQQ5J57VFmpKFJXl7ZsCQcfgAj+n+p9FvwPP+jll9XWpoYGLV5crNX79N8cPVrjxoVZfe1aHTzI0h0Cgv9neq/VDxumlSs1fLgOH9a8eZo9W7/+Wqzb3JJEzc2SlMupvV1fflmUUaAUEfy/IYo0aJAaG9XaqlmzJOmttzR5sjZvloqwSh5FamhQZWU4sWhpCRfkAT4F/5J0I11NjVpa9OSTqqrSrl2qq9Ozz/bx07LSo4qhQ1VfH/b7rFqlw4fDGGGO4P8lvav3UaQnntDy5Ro7Vt3dOnYs/G0f1pYkyuV0993hxW+/qbWV2iGxW+6iSJ9+u2eP1qzRww8rl+vjbWvpxbn9+3XzzTpwQEmiadPChlmYI/iL489PvC6GJFFPjx59VC++qDjWgAHauVMjR7Jh1h2H9BdH+tsei7eXLv190lOmSFKS6MSJ8EhOLs6ZI/iLJo7D1fgi/eNJouuv1/jxkpQkWrWKrbIg+H4q3SFfXa1Jk8JBxp494TfPkb0zgu+fenfx33Zb+M1zHR1qaeG+encE32+lD+OcNEnXXBPe2bYtbJ5jodYWwfdb6bX/gQM1bVp4Z8cObd0ajvbhieD7s3TprqlJVVWKInV3hztwuM3WFv/z/Vka9tixGj06/PGDD/TLL+FoH4YI3kJzc7j395tvtHGjJG6/MUXw/VwadkODCgUNGKDm5jDbE7wnbq21UCho40ZdfrmuvFIVFcUeDYqH4C38+RZ6bqd3li32ANAX0kt0aerU7owZHjDCoh1ghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH9UI3H0+J+asAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "action": "('move', [-13.68481813131568, 0.7103676714867718, 34.041647353896074])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIt0lEQVR4nO3dW6ilZR3H8f/7rrW3IiYUKohgp4vJCxFBJCVlDqTjMJGIg5WUmGBYak0TpEEJEWQe8tQonsZuMk1Dp6YxScoTGRmJTRcqhQWW4DBQiMLMXut9utjbrYSYeZo98/t8rvblYvN+1/95n+d9WV1rrYAM/e7+AMC7R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQJC741hb+GIbd+jlgd8gKvrXqunrxxXrhher7Gqav9A8JgoJvrVqr6bTOPbdWrao/b2v9qFoz6gkSF/ymTXXHHfXYY7VyRfvhptb31fc1ne7uDwfvipTgW6u+r5deqltvrV27ap99avuO/qyz2zlfqOefr9FI80RICb7rqrXab7+6/vpafeKwc+fQ9zUz7m+6sVafODz8YBuNqsotPXu5lOCrqutqNKojj6yf3t1946Lq+zY3qdnZevyJfs3a4aor2zBU19XUTh57r66FXd3DUH1fVbVlS11w3vDM37vxuJtMqqrWrasrr6xDD61hqK6qC/oyJEXcRd33C7t3a9fWAw92p3ximK99PK4776yVK+vee6vvqzp39eyF4oKvqq5bWLof9v7urrtHl17a9t+/JpOana2nn26nntq+9c22a1eNRk7s2NvELelfbTqtvq+uq4ceqgsuqCeeWJz/7eMrh2uv65ct6+rlx3VgL5A44RfN78xPp3XCCXX//fX5s9owVGs1nul+9et+xYq6/cetqrrOqGcvER18vbx1Pwx14IF1y6buphuG9713Opmr2dnuuee6T3+mvvLl6b//VX1fk4nde/Z40Uv6V5v/N3Rd/eH3bf2GeuSRGo+71mo6bcd/rF1+RX/MMTWdVtctbPLDnsjFu2BxJ+/oY7otW7r162syGabTmpnpHn6kX7u2rr++RqPqe8t79mAm/H+bThfu7X9y+7Dha92z/+hmZmpurqrqzDPr0kvr4INfOcyHPYvgX8P81t1oVE892b66odu6tbquxuOam6sjjmhXX1UrVnZVsmfP44J9DYuv0C37SLd5c118ce27b83N1exsbdvWnbx6uPyyYefOhZ082IOY8K9n8QR+69basKGefLLNjLu5SVUNp53Wf++S9qEPd4uH+bD0mfCvZz7jYag1a+q+++r0dcPcZKiq8bi/66466aS2+Z5h/obfTh57BMH/b/PL+8MOqx/dNrrq+9179m+TSc3uU3/5a/+p0+uiC9v88l7zLH2W9G/U4iH8o4/WeedO//hE34+6ajUMtXx5XXddHX54ledwWdpM+DdqNFo4qD/22PrNQ/3ZZ7WqGoaamakHHqjjj6/bbluo3Wt2LFmC/z/MP4fbWh1wQHfzpv6mG+uQQ4a5uZqdqR076owz6oLz2/bn22jkOVyWKEv6N2l+mD/+eK1fXw8+uPgeTjvuo8NlV4yOO67s3rMEmfBvUtfVZFJHHVX33FMXXlTTaZtOa3a2++3v+lM+2a6+ss3fAvg6ZUkx4d+Sxedwf7a5femL7dl/9uPx/NM47fR1w7UbRwcdVGUnjyVD8G/V/Glc39ffnmnnn19bftFVV+NRTSZt2bK2cWO/atXu/ojwMkv6t2r+Rn0Y6gMf7O7Z3H3n28MB+w+TSe0z2z31VH/y6nbJd4cdO5zSsySY8G+bxTfqf7l1+PqF3Z+2Lb5RXzfcUOecY2HP7mfCv23m36ifTGr1mv7nW7rPfbYmkzad1tFH19q1VX7lgiXAhH/7TSY1Htd0Wht/0G6+pbvmmlq+3Lu0LAmCf0cs5r19ex144MIv28FuJ/h3ijt2liBz550yX7uvU5YUwb+zDHmWFMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8AtUUUQE0iY3QAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "28f4cc98e204bca19d179314e53a39a335d593fb7b17b4fc4e106e71ba5c0a9a"} +{"episode": 85821, "episode_seed": 2708869355, "split": "train", "timestamp": "2025-09-16T00:20:44.245186", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2708869355, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "action": "('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "action": "('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "action": "('move', [-26.851617370953104, 5.41763457739692, -21.392614440757285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHkElEQVR4nO3bXatc1R3H8f+eOceUcxHS2EAgaGzFi5YKTVLyZKl5KE1pENu0FaR47SvwLQi+DC9KhRCJQm3jSfGh0SDRFMF400NaFKVUkouaEDMns1cvZpw8QbG0dE7y+3w4N2fPnmHdfGetvfbsrrVWQIbBvAcA/P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoLMOfi+r/G4WpvvKCBF19ZGbaurNRjUYFBdN++hwN1rnjP8eFzPP19n3+uvXq3FxRoOq7VaXa3xeI6DgrvZPGf40ajWrWsbN7QDPxrs3tXv2dvt3Tud3/u+WjPhw//YnIPfuLEuX5781zZv7h5+uPbsqcOHa+fOm86cjFH88F+ac/BLS9MFfNdd37rbtKnu29L/+FD96onB9u03vWU8rq6b/gH/qTlv2p04Ub/9zfi11+qzC8MrV259dd269q2t/S+eGP7s8fbgg92Gr0+P9331/XSTD/jq1sQu/WhUr75ax4/X2bO18pf2+aWq6qpqOJxt4PXf/Xb9/JeDAwfqoYdqy5bpG1dXq+uUD1/VnINvbbo5N3H5cv3xZHvzjfbu2cE7p/svRl1VNxzWYFiro+k5O3bU/v21e1e/c2d33/3Tlf21a9PyLfXh31gTM3xr01X64uL0yMWL9d67/Zkzg+Xl9vobbXL7cGGhquratembtm3rtn2v7Xu0fvLTbtOm6x81oXy43ZoIfqa16Q/vZuVfuFB/+2v706nu2LF26tQ04ht2+NrX1tX9W7uHv9M/fqR77LFuw4abPq01O3xw3doKfmYy4XddDYfTI1eu1Cef1Msv19Gjde5cu3Spu2XgCwu1fn37wSP9k78e7nu07r33+rfG+FqVBT+s2eBnbrnInzh/vl481l75XVs5P/j448n4u25QrZ+esLRUhw7VkSO1Y1vb+s1uaWl6fDSq4VD55Frrwd/o9uvzDz+sE3/o33q7e//9bmWln1zqLy7WeFx9X1Vt/VJ/6PBw3w/b9h21fUd3zz1VX/6Mb7Z2gBx3UvAzk02+1qbbeFX1wQd15p3+rdOD5eX66KOqqq6rxcVaXZ18TfSbvtHt2tPt/v54/8Hh3kfmN3SYqzsy+JnJ07WDwXS67vtaWalz5+rEiXrpxfHfPxvcdj+/bd7cPfBAPfVUPf309HEdy3ty3NnBT9x+V288rosX29k/d0df6H//SvvHheGXN/NqMKi+r2eeqeeekzpx7obgZyY7fFU3bfJ9caVef7OOvjB++/Tg00+7f35eVXXyZB08WOOxK3my3FXB3+j2B+xGo1perpeOt6uj7tlna8sW63ni3LXB36hv1fqbJnNzO5kigp+YXeovLJjYCRUU/IyVPLESHytVO7ESg4dYgocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wLijJ8X3Em8DQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9b4409d395294bfbcd65c2478f6fd24291ce121446a823eacb3027a16187390e"} +{"episode": 85822, "episode_seed": 3123601852, "split": "train", "timestamp": "2025-09-16T00:20:45.189838", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3123601852, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "action": "('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "action": "('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfklEQVR4nO3dz6/cZaHH8c+cc/pDDRIJ1CitEo0EEhJCimBSgogaQCpWEozR6MJo0tRo4o5/gJXspCuCGoOFxIWoiQsEiVisC8ASpabWX41UQFK6AIn0/BgX37ktJfcm13vPOTPt5/Vatadnkm8mfc/zzPd55pnReDwO0GFu2hcArB/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBs95WVrK0lPF42tdRaTT2xLNexuOMRtO+iG5GeNbWeJyVlcmfR6OMx7n//tx+e3772ySn/4n1sTDtC+CcNR5neTkLC5NR/YUX8oMfZO/e/OlPWVrK+9+fb34zy8uZM+isI1N6Vt/KSpaXs2FDkiwu5tln88ADue++HD+eJBs35uTJXHxxDhzItm1ZXs78/HSvt4gRntU0HmdpKRs2ZG4ur7ySRx/NQw/l+9/P0lKSbNiQxcWcPJlt23LzzfnXv5J4V7+ujPCsjvE44/Fkfv7CC3nwwfz0p/nZz5Jkbi7z81lcTJLLL89nP5tbb8327ZNHCX49CZ7/l+G/z6lojxzJ3r15+OH8/vdJMjc3eSFIsmNHdu/OddflkkuSTN69q32dCZ7/o+XljEaTIX1xMU89lbvvzs9/nhMnkmRubnIHfvPm3HJLvv71bN+e886bPHD4BbWvP8HznxnuvSdZWEiS55/P/v3Zuze/+MXkF4a1tySXXJKbb843vpFLL5380/AS4Lb8FAme/8DSUkajyU31Z57JI4/k29/OoUNJsrCQlZVJ0jt25JZb8pWvZMuWyQPfNPNnWgTP/8rKSkajSbGPPJIf/jA//nGeey5JNm7M4mLG4yws5I47snNnPvnJ07N3U/eZInj+R28alpeXs29fHnwwv/51Xn45SRYWJutt55+fL385u3bl2mtPL7+f2nLD7BA8/42VlYzHp/fDvPxy7rsv3/1u/vjHnDyZvOGN+vvelz17cscdec97Jr+8uJj5eW/UZ5TgOcMbN8mdPJkjR/K97+Xeeyf33k91ft55ueKKfO1r+dSn8ta3Th5rAj/7BM/EG1M/cSIHDuSBB7Jv3+Td+8LCZOfM1q257rp86Uv5+MdPP9b+mbOF4Dn9KZckx47loYfyox9NNskNk/Mh9SuvzM6d2bUrV1+dnHkbj7OF4Hu9aVh+9tl85zt59NEcPJicucx2ww35whdy442TTXKLi5Pdspx1BE8efzz33JP9+/P880kyP396a81tt+WrX81VV+Ud70jOXIfnbCT4XidO5LHHcvfdefLJyaT91D25d74zn/lM9uzJBz4wyfuNG2k5e/l4bKOVlezdm299K0eOJDk9Ys/P58orc/vt2b07F1ww+eHwEjCFUX34qG1iQX8VGeEbLS/nmmvy9NPZtCmvv54kb3tbbropO3fm85/Pxo2JzbDnKMHXGe7VPfxwbropSS68MF/8Ym69NR/5yGRKPxxBM83UV1YyN5ejR3PvvdmyJZ/7XC68cHpXc04RfJ0h+OPHs3t3PvjB7No1+TTbMIOeienzcB0/+Uluuy1JDh/OpZda618V3sPXGaq54ILs2zfZZpNkaSnz86f/OmXDJR46lLm5XHZZLrpo2hd07hB8qdFokvepjXSzYtjE/+qreeqpjMe5/vrJJ+9YDZZZ2s3c7vfhPeZLL+XJJ5Nkx44sLJjPrxbBM5MOH85f/pLRKJddlvjCilUzOzM5SPJfu3+2b8/99+fYscnHbu34WSXu0jN7hmU51oDgoYjXUWbPc8/l4MH885++U3rVCZ5ZMhR+zz3ZuTN33XXGD1kNgmeWnDoW99ixHD2a0SiLixbkVpHgmRnDSP63v+UPf8jcXG68cdoXdA4SPDNjCP7xx/PKK7noolxzTWJBbpV5NpkZwzk7jz2WJNu25YorrM+tOs8ms2HYQr+4mN/8Jkm2b89oNDlnh9UjeGbDMJgfOpRjxzIa5YYbkqmcs3OOEzyzYdgt/8QTefHFbN6c669PHLiz+uylZzYMH9D99KezsJC//jXvfnci+NVnay0zwy26tef5ZWYMtS8t2Vq3dgTPDBgK//Of88wzs3Gq3jlL8EzbUPtwVv4nPpE775wcR88aEDzTNhxf9eKL2b8/f/97Nm60Grd2BM+0ndpC/7vfZX4+H/tYRiNnWq0RwTNtw726Q4fy2mvZti1bt077gs5lgmeqhvn80lJ+9askufbavOtdiRX4tSJ4ZsCrr+aXv0ySq6/OW95iC/3aETwz4OjRHD6cTZty+eWJI27WkOCZqmEkf/rpjMfZunVyCr3hfc3YS88M+PCHc9ddefvb8973Jg69WEP20jNtvkZqHXkpZdqG2peWbLBbB4JneobZ5ZEjeemlzM3N0lfYnrMEz/QM2+n27MnFF+fOO5MY5Nea4JmSlZXMz+f48Rw+nMXFnH/+tC+oguCZkmE+/8QT+cc/snlzPvrRxP35Nef5ZUqGQ6kPHMjrr2fLllx1VcZjwa81zy/TMB5PbtEdPJgkH/pQNm2ywW4dWIdnql57LcvL2bQpGzZYjV8HgocipvRQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5N9m6YVJr58mFAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "action": "('move', [2.7477844828596023, -2.9321191408290566, 26.013617433139775])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHtklEQVR4nO3d3Y9V1R3H4d8+M6MDaI0mgCjhqqAClpZi0BpB0D/BW/9REsqbvKZtFKQomIbSF0x8qSUxMC9nr17sSXrVq57DPuH7PFcz+2plZz6z1qx99pqutVZAhsnYAwCeHsFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkOWxBwD/U99Xa9V1NTExzUjXWht7DMBTYoZn4fR9TSZ1/3599lnt31/79tXOnbXsR3UWLJVYONNpVdXly/Xpp+399+uTT+rOnaoqi9H/n+BZLK1tTeY3b9bKSldV167Vzp1VVV036sieCYJn4XRd/fhjXb9eGxvV9/W796avvjr2mJ4VgmexDOv2h//ob1yddpOqqtMfLVnMz4rgWUS3v5o8Xl9aWa7W2qlT1XX+gJ8NwbNYJpOaTuvihaqqzc166Rf9oYNanxnBs0CGaXztSTt/dlpVfV8nT05eeLErO3YzIngWzj8fdne+ngx79SdOdtu2Wc/PjOBZOJcuVd+2JvRjx6qq+n7M8TxLBM/COXOmqmpzc+tjdmU9PzuCZ7FsbtaVK1tfv/NO7dlTJfjZETyLou+r6+rmzfr+++omVdV+8+t+dbU2NwU/M4JnUQw7c+fOtSdPqrXasb0OHfrvdWZC8CyKYWfu4rlp37dqtf9Ad+jwpKqWlkYe2LNE8CyE1mplpR49qnt/Wa7qquqNA23fvppOrednSfAshOGV2Bs36uHDqqqu64/8qh+uC36GnCrAQhjW89eu9D/91FV1L788Of5elfX8rJnhGV9rW2HfvNUN6/ldu+v48WrNaXYz5nYyvr6vpaV68KC+vjss39ubv5zu2FFTD+RmTfCMb3jw9uWXde9eVdVk0p08tdTa8DSeWXJHWRS3btXjxzWZ1PPP1+mPnE49F+4oI+v7Wl6utbX6/POtb3ftqrcPV/lE7RwInoXw97+1G9e23on74IPqJj5gNxeCZ2RD2A8e1P2/tuWVqqqPPx53RM8ywTOy4YHcH/7Y9W2pq+q6duLE2GN6dgmeMQ3T++PHdf5cq6qNjXr7UL97t9X8vAie8T36d7t6eTrsyX94eml11SF28yJ4xjRU/ec73b8eLa2sVFWdONEmduzmRvCM7+zZ6rpuY71efGH65htV3oGfG8Ezvt+fmbZWfavfHlva85r1/BwJnpF99119cXsy/AH/7rv1yium9zkSPKMZwr5wodbWhlm9P3KklXfg58n78Iym72syqfPnt06/eP31yYEDVdbz82SGZxzD9N51dfXq1pXDh+utt6rKOzNz5NYyjuHQi7t3t860qqqDB2vbttrYMMPPkeAZR99Xa3XpYv/DD1VVzz1XR48223XzJnjGMfzbievX2vp6X1V799bx413XOcRuvmzaMYLhUOqff66v7g59t72vtf37J8M2HvPj7jKCYXq/fbt9881woTt6dOuBHHMleEYwHEr9xZ/6b7/tq2p1tT48vVQOpZ6/zj4JY1lfq7X1qq66qu3bLeafBsFDEL9UIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIch/AIzTVfQSO5kuAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "47e1116a80d88999df0716bf566842e53efff870dd609557c0e79f7bd7b1bce4"} +{"episode": 85823, "episode_seed": 1417437810, "split": "train", "timestamp": "2025-09-16T00:20:45.798046", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1417437810, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "action": "('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "action": "('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "action": "('move', [10.32068144787237, 8.950601368316248, 25.4296550130461])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "adbfc70f4bc130f4572410a26d1923d5d84387f5a5f9ed68c85227649792aa70"} +{"episode": 85824, "episode_seed": 1675063105, "split": "train", "timestamp": "2025-09-16T00:20:46.403397", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1675063105, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "action": "('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "action": "('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "action": "('move', [-1.4555948938676961, -2.433054554185483, -21.836778858051854])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJy0lEQVR4nO3dzY9VdwHG8WeYQdoiVGgR20otDNhGS4kFokxDiGsXJm5MTN25cGlc+Cfozq1bN25N3GtqE2inC6nypkHerFCw8trXADNzXdzJXN6s5a1DfT6fEDK5557Dvcl87++c3zn3MDYYDAJ0WLLYLwD49Ageiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeikws9guAe2NuLoNBBoOMj2dsbLFfzYNK8HyGDQaZm8vcXMbGMuF3+RMYGwwGi/0a4PYMIx8MsnTp6MELF3L8eP72tzz/fF54YfFe3INN8Hw2DHfXB4MsWTLaY798OX/+c/7ylxw4kIMHc+hQzpzJj3+cX/0qg4Ed+1uwG8SDaGEYWoh2bGz08969ef31TE/nyJH88585dWq04sRE9uy5bkWuJXgeFAtj+NhYllx/+ujq1fz973n11bz6av70p1y4kIsXMzt7i43MzubMmfz731mzxiB/C4JnMQ0LXzggv3Zf/eLFvPNO3ngjr7yS3btz6tStC0+yfHkefTTr1mXnzuzalampfOELiUH+VgTPIhgWPjub8fGMj8+P57OzeeutvPVWDh3K9HReey1HjoxWmZjI2NhoV3/58qxbl3XrsmVLpqYyNZW1axfhjXzmmLTj07NwqvzaU2jHj89Pue3fn337cuDAaNFwEv7q1dEjX/96nn8+X/tatmzJCy9k/frRotnZ+eN8A/vHEDz3y80TbwvOnMn0dKanc/Bgjh/PsWP56KP5RUuWZHz8usg3bsyOHdm2Lc89lw0bMjk52uDMzPy8/bVT93wMwXMvDQfw5MZZtyQXLmTPnuzend27c/Jkzp3L++//1+089VR27crOndm+PV/6Uh5/PMuWjZZeuTKKXOe3RfDcGwsnyRe8/37eey8HDuSVV/LHP2bfvly+nJmZW6w7Pp7Pfz6rVmXr1nz729m1K5OTWbbsuq0NL7YR+V0SPPfS+fN5++0cP5433siePXn99Vy+PL9oGOrc3OjJTzyRJ5/Mpk3ZsSM7d+Yb37jFBoeXzcaU+z0ieO7W8HT3mTP55S/z5pvZuzfnz88vGk7CX7kyevLatXnuuTz7bLZsyYsv5sUX87nPjbazcOZc3veJ4Llbw7Nr+/dn27ZcuZKxsSxdmtnZ0WnzFSuyfXu2b8/mzdm4MV/9alatGq1+9er8lTY3H/ZzzwmeuzUclj/8MD/8YX772/kHJyayY0deeikvvZTJyaxdm9WrR6uYXV8sLrzhbo2NZXY2jzySbdvy5pv5wQ8yNZWtW7NyZR5+ePS04ZU2wyN5X2VdLEZ47shwMu0TjM7DWTpH5g8IwXOnZmdH2V/zfZePud6GRSd4bt/cXC5evO6g/Aaif1A5luJ2DCfojh/P976XFSvyxBPZsCHPPJNNm/LNb2bFivknfJLOhx8KPhE+XYLn9h0+nH37rntkzZq89lpWrMjYWE6cyK9/nS9/OZs2ZePGrFqViYlMTNx42m0h9dnZ686/u5LufrJLz+0Ylnn0aH73uxw7lsOHc/p0Ll3K8uXZu3f+atjf/CYvvzxa5fHH8+yz2bAhTz+d738/mzfPz+N98EGWLs1DD33cPzf8ep1zd/eOEZ7bMQxvcjI//enowdOn8847efjh+ZJXrsyuXTl7NufO5dy5nD2bs2fn7zu1fn02b87YWC5cyE9+ksEgGzZk3bp88Yt57LE89lhWr86qVaN7Uy7sFMzM3DhB6CPgjhjhuX0LN6MaDvjj4zc+4fLlvP12Tp/Ov/6V06dz5kxOncq77+ZnP8v27Uly9Gg2brxulUcfzZNPZs2avPxyfvSj+Z4PH86HH2ZyMitWfCpv7P+fEZ7bd8Nh9nBgXxiNB4MsW5b166+7PUWSd98d7cCvXp2f/zwnT+bEifzjHzl6NJcu5dKl/PWvmZqa3/jcXH7xi/zhD3nqqaxcmbVrs2FDvvKVPPNMJifz9NP3/W3+PzLCcx9cuwsw3Au45bV1MzP56KP5P+fP58SJ7N+f73wnW7cmyblz+e53548FrvXII9m8OdPT8xfxczsEz6fi5pNw//OesjMzOXQoBw/m2LEcPTo/QfjBB3nvvezYkd//XvB3QPAsnpt/9/7nVNzJkzlyJA89lG99y22o74DgeYANfzkX/jY5f9cEz2fK8C72N/9XFXwygociPiahiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyH8AeohMwyFA6DwAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHT0lEQVR4nO3aX1MUVx7H4V/3gFSpERVcGTBFBKy9zaU3uV7fU97YvpJUpSTyJ4VoFkFLikkWe3ovhkWDZBesGE2+z1N9QXXNTPdQ9Tnd5/Q0fd8XkKH91CcA/HEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEz+X0ffX9pz4JPtTUpz4B/mSaprquuq6a5uzG56/pDddcxps3NfXeZWI8rq6rKkPA507wXNR4XG1b335b29v15VK3OKx7y4N792ppqYbD819f9avsDQGfnOC5kPG4mqYOD+vhw/ruu6rqq/rr19vZ2bpxo2Zna36+X1lp7t+v+/drZaVWVuratf/zmafLAacDgRHhYzOH50L6vtq2trbq1avJjqaqOTysw8Pa2TndU4NBXblSMzM1M1M3b3Rrq7X298Hqaq2t1YMHtbBQ09M1NVWDQVWdc9vfddX3JzvNCz4GwXMhk/Datr7+ur74okajev26jo7q558nd4gnXXZdjUY1GlVVPX8++P5x1T/ffsjVq/3qarO6WpNtba2GC/3163XtenPtWl29ejIQvMsC4e/LLT0fYnu7trZqa6u2Nt5sbtZPe1N7e/XiRe3v14u9ftz3Z574Tk1V07xd23tH97e5fnllanm5lpfrq69qOOzn55rbczU/X7dv18zM2UOfDgFte84Awf8meC6h76vrqm2rfe8HHK9f1+5uPXtWuzvjZ7v90+eDp0/r6dPa2amdH7vDo+bsEDBdg7bG4zo+PnuQmSvNwrCGw1pYqMXFuntnvLTUL305WFysxcWan/+oX/EvTvBc2mSx7d2tbc9/VndwUAcHdfBivH9Qz563Gxu1uVmbm7XxZLz9Y1/1qwt009agrb6qe3P2k6pq9mZ762bdulW3btXdO+O7C80/HjWPHp2cj5v8CzKH59Len0X3fY3H5wwBc3M1N1e19vbafnxcR0c1OmpHo/75T/X4ca2v1w8/1Pr33fp6vToc1Pj9A7ZV9eplvXpZm5snp1DV/PLvevTo/N8F8Fv8q/gdnLuQdvrU7fTZW9vW9HTNztbsbFU191fq4cOTF4/Hg66rvb1aX//v9ni8/rj2X7aTVcDRqI6PTxcIm6q6c2fyxj/iC/5lCJ6P5bdGgTOvmZisCwyHNRzWN9+c7KuqrquNjZrMBbaedE+eNP/aH0xmCg8enLyRizOH5/NyelMw+aNtzxk19vdrd7fu3q35eRP4yxE8n7X3FwgHA0/jPpzg+ZN5d13Qtf2yBA9BrHhAEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8A2CBuT2UDWDwAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHT0lEQVR4nO3aX1MUVx7H4V/3gFSpERVcGTBFBKy9zaU3uV7fU97YvpJUpSTyJ4VoFkFLikkWe3ovhkWDZBesGE2+z1N9QXXNTPdQ9Tnd5/Q0fd8XkKH91CcA/HEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEz+X0ffX9pz4JPtTUpz4B/mSaprquuq6a5uzG56/pDddcxps3NfXeZWI8rq6rKkPA507wXNR4XG1b335b29v15VK3OKx7y4N792ppqYbD819f9avsDQGfnOC5kPG4mqYOD+vhw/ruu6rqq/rr19vZ2bpxo2Zna36+X1lp7t+v+/drZaVWVuratf/zmafLAacDgRHhYzOH50L6vtq2trbq1avJjqaqOTysw8Pa2TndU4NBXblSMzM1M1M3b3Rrq7X298Hqaq2t1YMHtbBQ09M1NVWDQVWdc9vfddX3JzvNCz4GwXMhk/Datr7+ur74okajev26jo7q558nd4gnXXZdjUY1GlVVPX8++P5x1T/ffsjVq/3qarO6WpNtba2GC/3163XtenPtWl29ejIQvMsC4e/LLT0fYnu7trZqa6u2Nt5sbtZPe1N7e/XiRe3v14u9ftz3Z574Tk1V07xd23tH97e5fnllanm5lpfrq69qOOzn55rbczU/X7dv18zM2UOfDgFte84Awf8meC6h76vrqm2rfe8HHK9f1+5uPXtWuzvjZ7v90+eDp0/r6dPa2amdH7vDo+bsEDBdg7bG4zo+PnuQmSvNwrCGw1pYqMXFuntnvLTUL305WFysxcWan/+oX/EvTvBc2mSx7d2tbc9/VndwUAcHdfBivH9Qz563Gxu1uVmbm7XxZLz9Y1/1qwt009agrb6qe3P2k6pq9mZ762bdulW3btXdO+O7C80/HjWPHp2cj5v8CzKH59Len0X3fY3H5wwBc3M1N1e19vbafnxcR0c1OmpHo/75T/X4ca2v1w8/1Pr33fp6vToc1Pj9A7ZV9eplvXpZm5snp1DV/PLvevTo/N8F8Fv8q/gdnLuQdvrU7fTZW9vW9HTNztbsbFU191fq4cOTF4/Hg66rvb1aX//v9ni8/rj2X7aTVcDRqI6PTxcIm6q6c2fyxj/iC/5lCJ6P5bdGgTOvmZisCwyHNRzWN9+c7KuqrquNjZrMBbaedE+eNP/aH0xmCg8enLyRizOH5/NyelMw+aNtzxk19vdrd7fu3q35eRP4yxE8n7X3FwgHA0/jPpzg+ZN5d13Qtf2yBA9BrHhAEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8A2CBuT2UDWDwAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHT0lEQVR4nO3aX1MUVx7H4V/3gFSpERVcGTBFBKy9zaU3uV7fU97YvpJUpSTyJ4VoFkFLikkWe3ovhkWDZBesGE2+z1N9QXXNTPdQ9Tnd5/Q0fd8XkKH91CcA/HEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEz+X0ffX9pz4JPtTUpz4B/mSaprquuq6a5uzG56/pDddcxps3NfXeZWI8rq6rKkPA507wXNR4XG1b335b29v15VK3OKx7y4N792ppqYbD819f9avsDQGfnOC5kPG4mqYOD+vhw/ruu6rqq/rr19vZ2bpxo2Zna36+X1lp7t+v+/drZaVWVuratf/zmafLAacDgRHhYzOH50L6vtq2trbq1avJjqaqOTysw8Pa2TndU4NBXblSMzM1M1M3b3Rrq7X298Hqaq2t1YMHtbBQ09M1NVWDQVWdc9vfddX3JzvNCz4GwXMhk/Datr7+ur74okajev26jo7q558nd4gnXXZdjUY1GlVVPX8++P5x1T/ffsjVq/3qarO6WpNtba2GC/3163XtenPtWl29ejIQvMsC4e/LLT0fYnu7trZqa6u2Nt5sbtZPe1N7e/XiRe3v14u9ftz3Z574Tk1V07xd23tH97e5fnllanm5lpfrq69qOOzn55rbczU/X7dv18zM2UOfDgFte84Awf8meC6h76vrqm2rfe8HHK9f1+5uPXtWuzvjZ7v90+eDp0/r6dPa2amdH7vDo+bsEDBdg7bG4zo+PnuQmSvNwrCGw1pYqMXFuntnvLTUL305WFysxcWan/+oX/EvTvBc2mSx7d2tbc9/VndwUAcHdfBivH9Qz563Gxu1uVmbm7XxZLz9Y1/1qwt009agrb6qe3P2k6pq9mZ762bdulW3btXdO+O7C80/HjWPHp2cj5v8CzKH59Len0X3fY3H5wwBc3M1N1e19vbafnxcR0c1OmpHo/75T/X4ca2v1w8/1Pr33fp6vToc1Pj9A7ZV9eplvXpZm5snp1DV/PLvevTo/N8F8Fv8q/gdnLuQdvrU7fTZW9vW9HTNztbsbFU191fq4cOTF4/Hg66rvb1aX//v9ni8/rj2X7aTVcDRqI6PTxcIm6q6c2fyxj/iC/5lCJ6P5bdGgTOvmZisCwyHNRzWN9+c7KuqrquNjZrMBbaedE+eNP/aH0xmCg8enLyRizOH5/NyelMw+aNtzxk19vdrd7fu3q35eRP4yxE8n7X3FwgHA0/jPpzg+ZN5d13Qtf2yBA9BrHhAEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8A2CBuT2UDWDwAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHT0lEQVR4nO3aX1MUVx7H4V/3gFSpERVcGTBFBKy9zaU3uV7fU97YvpJUpSTyJ4VoFkFLikkWe3ovhkWDZBesGE2+z1N9QXXNTPdQ9Tnd5/Q0fd8XkKH91CcA/HEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEz+X0ffX9pz4JPtTUpz4B/mSaprquuq6a5uzG56/pDddcxps3NfXeZWI8rq6rKkPA507wXNR4XG1b335b29v15VK3OKx7y4N792ppqYbD819f9avsDQGfnOC5kPG4mqYOD+vhw/ruu6rqq/rr19vZ2bpxo2Zna36+X1lp7t+v+/drZaVWVuratf/zmafLAacDgRHhYzOH50L6vtq2trbq1avJjqaqOTysw8Pa2TndU4NBXblSMzM1M1M3b3Rrq7X298Hqaq2t1YMHtbBQ09M1NVWDQVWdc9vfddX3JzvNCz4GwXMhk/Datr7+ur74okajev26jo7q558nd4gnXXZdjUY1GlVVPX8++P5x1T/ffsjVq/3qarO6WpNtba2GC/3163XtenPtWl29ejIQvMsC4e/LLT0fYnu7trZqa6u2Nt5sbtZPe1N7e/XiRe3v14u9ftz3Z574Tk1V07xd23tH97e5fnllanm5lpfrq69qOOzn55rbczU/X7dv18zM2UOfDgFte84Awf8meC6h76vrqm2rfe8HHK9f1+5uPXtWuzvjZ7v90+eDp0/r6dPa2amdH7vDo+bsEDBdg7bG4zo+PnuQmSvNwrCGw1pYqMXFuntnvLTUL305WFysxcWan/+oX/EvTvBc2mSx7d2tbc9/VndwUAcHdfBivH9Qz563Gxu1uVmbm7XxZLz9Y1/1qwt009agrb6qe3P2k6pq9mZ762bdulW3btXdO+O7C80/HjWPHp2cj5v8CzKH59Len0X3fY3H5wwBc3M1N1e19vbafnxcR0c1OmpHo/75T/X4ca2v1w8/1Pr33fp6vToc1Pj9A7ZV9eplvXpZm5snp1DV/PLvevTo/N8F8Fv8q/gdnLuQdvrU7fTZW9vW9HTNztbsbFU191fq4cOTF4/Hg66rvb1aX//v9ni8/rj2X7aTVcDRqI6PTxcIm6q6c2fyxj/iC/5lCJ6P5bdGgTOvmZisCwyHNRzWN9+c7KuqrquNjZrMBbaedE+eNP/aH0xmCg8enLyRizOH5/NyelMw+aNtzxk19vdrd7fu3q35eRP4yxE8n7X3FwgHA0/jPpzg+ZN5d13Qtf2yBA9BrHhAEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8A2CBuT2UDWDwAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8f1f5a2dd4c0be70f5d8c8e6a47e3acd3312a0a0ac1d89f1e10be92de1b98cd1"} +{"episode": 85825, "episode_seed": 3113663075, "split": "train", "timestamp": "2025-09-16T00:20:47.360963", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3113663075, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "action": "('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "action": "('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "action": "('move', [6.109136748150372, 5.142478322212988, -16.564542620569284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH4UlEQVR4nO3dz5JU5R3G8aenwYBBUcs4jMjfIKTMJZhLcOf1eCHehhdhsnWRKv4aUJQCBUcQFjDdJ4vTTllJSmWayhzm+XxWXWf1br71e897uk/PhmEI0GFjvxcA/P8IHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHl6YYcgw7PcifpXg4YWZzTIMefo0OzsTLX82THNd8BJ69iyHD+/3In6VCQ8vwGKRJJ99lg8/zEcf5ZNP8tVXSSY35w/t9wLgIBjD/sffh88/nyX54ot8/HFOn85ymfl8n9f2S4KHF2AM/svrO/P5oWT23ns5eTJJZrP9Xdd/Ejy8ABsbSfLV7UOLxSzJ5mbefjvL5eSCdw8P6xr37Q8e5OGjse9h853lbJadHcHDgTPu52/cyKNHqwtnTg2Z3n4+tvSwvjH4W7fy8GGSHD26cfbPySSDN+FhXWPw/7qxePx4SPLaazlzJhE8HEirCX9z1ffrr+f8+UTwcCCNT9rv3NtIZkleOzacOJHlcnV0PynTWxG8VMYj+u3t3Ls3Xhje3VrOZlku9ndd/5vgYS3jfv7bb3P37nhhdvHSRjIO+8kRPKxlDP7OnVXw83kuXpplkjfwETysaTf4hw8zm+Xw4Vy4kAgeDqQx7G++GZIhySuv5NKlJFM8sYvgYR3DsDqi//rrWTIbhvzx6PLkycn9KnaX4GEts1kePVr9+j3J+bPLac720YSXBpM3TvLt7dy6tbpy6a9T+vn7fxE8rOuHB8Otm4vxOdylS5M8rPuZ4GHvxgn/w3Z+fJhDh5KsTuwmS/Cwd+MR/e3bs2S+sZrw+7ui3yB42LvxfO7atSRZLHLs6M7mO1M9oE8ieNizcT//7FmuX0+SxSIX3t945ZXpfs0ugoc1PXmyCj7Jxb9s/OHIvq7mtwge1vL0aa5cWe3tL15cHd1NluBhLdvb2d5edf7+hWR6fz7xS4KHtVy/vnvHPpw7P0TwcCCNnV++nGHIzk5ePbJ4680Jt57EW2thTVevJslymTPn5q8fn+rp/M9MeFjL5X+u3mV17tzs+PFkws/kInhY09Vrqw9nz+bYsX1dyu8geNiL8WTu7t08+HE+30iSM2ezsZHFwoSHA+ry5SwXWSbJ4r2tRZJhuc9L+nWCh70YJ/zVq9nZybDMq0dmmydmyURfVrvLKT3sxRj8tWtZLpPkxLsbmyeSaZ/YxYSHvRmDv3Jl9eB9ayubm8lU3125a9qrg0kahtUkv3VrNdC3tvLWW6tpP2WCh+c2vqz2wYPV/0Mn2drKfJ6dHVt6OHDG/fyNG/npp9WVU6em/qXakeDhuY3Bf/llHj9OkiNHcvpUMvkTuwge9mAM/l83Fk+eDEnefDOnz076RTe7BA/PbXfCj38vdfx4zpxOJn9EH8HD89r9e6k7d+djQW+8kRMnslgIHg6cMfjt7dy/v7pw4k87GxtZLvZ3Xb+Lb9rB8xn387dv57vvcvhwkrx/8SX4Uu1I8PB8xuDv3cv33+fZsySzs+fneRlO7CJ4eF7jDfwHH+TTT3PzZu7fz98+TF6GE7sks2HKb9wDXigTHvZiGLJYZLnMfL6a+S8FEx6KvAy3HcALIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8m+QZk8I3+/02wAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "63c94af0bece87a8f396f698f5b8bcaffee17c75cf3f3cefef12a2bd2f3faaae"} +{"episode": 85826, "episode_seed": 1824491911, "split": "train", "timestamp": "2025-09-16T00:20:47.969776", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1824491911, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "action": "('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "action": "('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "action": "('move', [-0.14446673804610904, -2.4036023940200115, -2.2985898249838974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b4741d36af97bb0af8218fb7f9a5ddcdbd48a34dffcc7a7ba8cf5fde74d3cbe4"} +{"episode": 85827, "episode_seed": 4219578961, "split": "train", "timestamp": "2025-09-16T00:20:48.576181", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4219578961, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "action": "('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIr0lEQVR4nO3dW6ilcwPH8d9aa+8xuDBNzIU7aWiUJEXRKIRyKErEkFxolKLcKZNDcseEhFIkKVMMmQsXJq5Iw51TxIVDzsWN0cysvd6Ltd/1Mjm+2HvP/D6fi2kON0/Pfr7r/zz/9f8/M5hMJgE6DJf7AIClI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoMrfcB7A8FhYymSTJYJChDz1qDCbTCx8oUDfCLyxkOMyHH+arrzIY5IgjsmFDRqNMJhkMlvvg4F9WN8Lv2ZNVq7J5c7ZvT5JTTsmzz+awwwRPhboRfurbb/PNN0ny9dfLfSiwhEqDn5tbHM9XrTKwU6Q0+NksfSJ4ipR+JbWwsPibwUDwFCkN/uczlYKnR3vwRniqtAefZDBI2VeT9GoP3ghPFcELniLtwcekHU1Kg59RO1UEb9KOIqXBK5xOguc3zFYjchCpC3760D4L3utuftP01PhoPLi43vk1u3fnmWeS/y5Lkv3BojT4/bbKuZ7/Z5r37bdn06ZccUU++WTxHLnDPyiUBs9vmg7p77+f8TjbtuWss/Lcc4vv+ty3b7kPjr+rNHib4X/PcJgXXsg992Tt2nz8cS67LLfckm++ydyccf5AVxf8fvfwgv8V07Nz663Zvj1nnJHJJFu35pJLsnNnhkPPPwe0uuD5Y9NPwX37cuaZ2b49t9yS0SivvZbNm/P220kyHv/inUEcOEqDN2n3BwaDzM1lPM5RR+Xee/P88zn66FxwQdavX3zR93CYwcAd/gGn6512s7AV/qfM3td/0UV5550kOeSQxb95/fWcempGo+zdm/n55T5Q/qzSEX7GM/wfmN0CrVmTNWuysJDBII8/no0bc+ON+fTTzM9n716foAeKuuD3K3z2R+X/nv2W37z8csbjPPpoLr00L720OMJr/kBQF/yUZ8+/bLqvcLreduvWbNmSubm89VauvDJbtiyO/Kx4pcHPuEr/H+vW5a67smNHNmzI99/n7rtz7rl5993s22ecX+EEn7gb/aumt/fnn59XX80112Q0yiuv5Oyz8/bbGQwyHmc8Xu5D5NeVBq/wv2X22pB16/Lkk3n44RxzTE4+OevXL57Z0SjjsbO8AnV9LRdD+j9oNpN3/fU59dQcemgOPzwLCxmN8t572bAhif+Ud6VpH+Hth/9bZptqTjopxx23uCZn165cfHFuvjm7dy8uzvH5umK43vnbpmvyFhYWv/y477589FEeeCDnnJNdu6zJW1FKg7e09h82GmU4zGiUJA89lM2bc8ghef31nHtuHnwwP/2U4VDzK0Fp8Pwrph+fa9fmkUfy2GM59tj88ENuuinXXpsPPvD4tBLU/Qxsj10K43GuvjovvphLL02Sbdty4YV5443Ff2L51AWf/GIWSfD/iummmg0b8vTTuf/+rF6dvXuzZs0vJu09Ry2Huq/lWCLz8xmPs3p1bropp52W8TjHH5/JJMNhfvopq1cvzuS5z19ajaf759tAjPD/ounu2skkp52W00/PeJzBIF9+mY0bc+ed2b07w6H1OUtM8Mt6KAe92Zq82Ul/8MG8+WbuuCOXX5733sto5P/6Wkp1we93dQl+Kcx22k0m2bQpV12VJDt25Lzz8sQT+fHH5T6+InXB55eTdh4hl850Bc4JJ+Spp/Lww1m3Lp99luuuy86dBvklY9KOpTXdOX/DDTnjjNxwQ/bty8knL/cxFWkM3jP8cpre2I/HOfHEbN+e4TBHHpn4SSyR0uDn57NqVZLFX1lSg0FGoywsZN26xI66JdUY/MJCvvgie/YkyXffJdaALIvZ9Inal1BX8NNLa34+t92Wzz/PZLK4a3uu6zTQazAxukGN0qFttr5r+jgJJYzwUMS6EygieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyH7+cyuCJqw6ZAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "action": "('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "action": "('move', [19.943153928615676, -1.1973675636564511, 18.27774433742989])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIoUlEQVR4nO3dX4hmdR3H8e85zzMjFcheLOxNCuVFgVugoBa4tRHoqkHYrjfrhYQtZrKJ1oWusdT+MSO0xH8lBRboVcqWf1JvWkvaVbHCFi9EJdMuqo1MqMWZec6vi2dcMYyy3ZnZ7fN63c65OMwzb37n9z3nOdO11grI0K/0CQDLR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPC8jdZW+gxYGoLnXw1DdV1NJit9HiwBwfMWrVXf18JCjUY1DCt9NhxtgudN07X9gQfqvPNq//7q+2rN5f3/la75PKmqN2p/+eW64II6cKBWr27brmlXfak//KOuW+lT5IhZ4Vk0rfrGG+vAgTrhhDp4sLv6y92mjcNLL1XfLx7A8U7wLJpWvWVLbdjQXn+9VdV43N17X7/u7OG+Hw1dt7i357gmeBZNd+xr19aDD3a7dw6rVrWFhZqZqZdf6Tde1K66qv70xxqPa35+pU+UI2APz1tMp3R9X3v31rZr2779bTTuq2qyUGedOXz9+vrEJ/vpn4wt/fHICs9bTIdzCwu1fn3t+XFdubVNFtpkoWZn64knu00Xdddfv3jYMBjgH3+s8Ly9yaRGo2qt9uypL26dvPKH0Xi8uIc/55y6/fY65ZSqqmFY3PxzXPBZ8famtXddXXhh7ds3+vSnhmnt43E9+mh99CPDPffUZFJ9b1d/PBE8/9Z0l95avfek2nN/f9NNtWZNLSzU7Gz9+WB/8cXt8s8PL/++zcyY3h83XNLznx2e5O3bV9dtaz/b2/X99C5dO/20tnNXd/753fQwk7xjnOD5r7RW07t0fznYvvXtbvfuoaqfna25uTrxxLri8mHn7n66CygD/GOY4HkHFhZqPK6qevin7YovDC/+bjQa1WSoau1jZw+33TFau7bqjYEfxyB7eN6B8XjxbtyG87pf7h9t3tyqDdVqdrb7+eOjdevqzjtrbq5GI7v6Y5TgeWf6vrquWqs1a+ruu7tbb20nnTTMzdXsbL36al12WW3ZUi+8UNN7eC4fjzUu6fkftVbDUKNRPf102769e+ih6rrFZ29PPbXt+Gr7zKa+TPKOMYLniEx39a+9VjffXDt2LN60m5urd50wXH557djdv+fdvl17DBE8R+rwiG7v3tq6tR040E3H9cNQZ5wx3HZrd8aZXXkm79jgE+BITV+G1VqtX1+PP9597rOTUd+GoWZn66mn+o+vG265pR06tPjtWuvLyrLCc9Qc3q7/8AftazvqxRdrPNMtzFdVbdrYdu1qH/hgP5nU9Kv1rAjBc5RNL92ffbZde037yf1ddd3MuObn2/vf13bu6jdvfvMYlp/gOfrm52tmpg4dqjvuaNu/Un8/VLOz3dxcjcd16aV1ww21apVn8laG4FkShyd5TzzZrrhsePo3o+qq72oY6sMfarfe1q1bV2WpX3Z+2SyJ6aC+tTrrzO6xX4yuvLJOmK3pJO+Z33bnnlO7dw2H/lF9X5OJSd7yscKztA5P8u69t665pp5/vmZman6hqg3nb2jf+Ga/dm03GaorS/1y8DtmaU1rn0xq48Z65JG2eXObn58+ft8/9PDo3HPq+98bRv3iKzRZalZ4lsn0mbxhqO9+p123rf31b/0b78xql1zS7dhRJ5/sOdwlJ3iWz/SVWF1Xv/5Vu/rq2vtYjUbdMNSqVfXcc7V6teCXnEt6ls90bj+Z1Gmndw8+1F13bRuNhtbqrrvUvkys8KyAw3fj9uypZ56p7dtX+oRiCJ4VY0lffi7pWTHT/2Yxmaz0eSSxwkMQKzwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+SeUAiCuTPnhUQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f371603ee015d4ac27c0000fbd678598952a648a61be2be3ac4f8d6f87dddaba"} +{"episode": 85828, "episode_seed": 571593161, "split": "train", "timestamp": "2025-09-16T00:20:49.184008", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 571593161, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "action": "('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "action": "('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "action": "('move', [-1.2512389892260796, 0.6078058237695027, 28.361656390437968])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "27e57a035d2c048ab63528dacd484c8e3cec14c319518c2fa184d66bc32c099a"} +{"episode": 85829, "episode_seed": 1978459443, "split": "train", "timestamp": "2025-09-16T00:20:50.182984", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1978459443, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "action": "('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "action": "('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "action": "('move', [-1.1705326124533453, -1.502360045286321, -46.07448885665008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4e05b80f80fb98b5074514a6f05af1d2de0d57972045fc72275f666da9442ef3"} +{"episode": 85830, "episode_seed": 1381684217, "split": "train", "timestamp": "2025-09-16T00:20:50.791342", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1381684217, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "action": "('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "action": "('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "action": "('move', [10.277536922929253, -42.31088983601162, 52.5419510638034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f49a2463df25c4d6ba5fe1a336e6fc0fd522d5d91aa1a35c58eb254415010ded"} +{"episode": 85831, "episode_seed": 2929301422, "split": "train", "timestamp": "2025-09-16T00:20:51.401905", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2929301422, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "action": "('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "action": "('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "action": "('move', [-3.771286438521694, 0.5130176724186037, -28.93747799241433])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b733fdd3c5024b34be7b90161ad80e19ff721a8d4cf796abc589e6c3c7481a68"} +{"episode": 85832, "episode_seed": 3948565016, "split": "train", "timestamp": "2025-09-16T00:20:52.353514", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3948565016, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "action": "('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKzElEQVR4nO3cf2hV9R/H8df9NRVJ+mUOVlFCEMiiUAgrDRM2M7Ka4R8rRKLiUv4RmFRE/REFUamkZUlpxpD1R1TYYNqKaja1/jAoqIxmmIpQhJLM3XbvOac/znHum9R3LnfPvXs9H/TXvHoP2PO+P+dzPtdMFEUC4CGb9gUAqB6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwGIUwVBimfRE4B/JpXwBqWxAoipQ/9f9JFCmTSfWC8J8QPP5BFCkIktQPH1ZPjwoF3XuvwlBZFob1KhNFUdrXgNozPMm//FLd3eru1ldfacYM7d6tmTMVBMrl0r5EjAUTHpKk+HM/jjyu/cABPfKI9u3TkSPJa+bN09DQ6ZehDhG8vXg3buQqPQ4+CPTZZzpxQtOnq71d99yjq6/Weef9/cWoKyzpXcW36NlsUu/AgH78Uc8/r6VLtWxZcqO+caN+/10rV+qCC9K+XJwbBG/vwAHt2aO331ZPjyTdcIO6uzVt2t835Eeu+VG3WNK7KpfV16eeHr3/vr7/Pvnh3LlavFhRlOQ9MnJSnxAI3sOZz8/Xr9dzz+nYMUlqaFBbm26/XbfcosbGVC4Q1UHwE1c8qDOZ5D9JAwOaPDl5otbUpGPHdNllWrFCS5Zo1ixNmSJJlYpyOeb5RMU9/AQ1stuTJ7Vvn9at0/792rpVc+YoinTypHbu1Pz5uvji079leA8PExQTfoKKT8j99JN6e/Xmm9qzJ/n5nj2aM0eViqZOVVtb8sMwVCZz+vwsJi7+jieKkY/TBwe1d6927lRnp375JXnBvHlauFCtrdKpj4PhPTmmug2W9PUvvlePo41v2gcGdNVVOnpUkqZN09KlWrRILS06//xULxTpY8LXp5GRx3ty33yjwUFdf73CUFOnasECffGFHnpILS1qbk5G+tCQ8nnmuTMmfB0a+X21Ukm9vXr1VX3+ua65Rp98kmy8HT+uclmXXJK8jA05SGLC16VsVlGk/n599JFef13ffpv8PD4eO2uWguD0Ydj4/CwbcpDEhK8z8Wz/+mtt3ap33tGvv0pSoaAbb9TixWpvV1PT6TM2/GMVOAMf/HUlHteffqr16yWpsVFLlqi1VbfdpkmTpP+NnNpxBiZ8XYn/sk6e1PLlmjNHixbpuuuSXyqXlctxl45/R/D16Y8/NG2adOpbrhyGxegQfB2K1+1RlNzSkzpGjeDrExtyGBNu+eoTtWNMCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIH0hdFiqJqvBHBAzUhk6nGuxA8kKZ4sAeBBger8XYED6QmDJPBvmKF3n1XkiqV8X1HggdSEEUKAmWzOnRId96pbduSCT/ed/L58f3jAZwhDCUpl1Nvr+67T/39yuXU0FCNt2bCA1UVD/ZsVhs36tZb1d+vqVMVBBoYqMa7EzxQPWGoXE7Hj6tY1MMPa3BQ+bwGBjR7thYuVBQpO85FZqLqPP4DvEVRsj/3ww+6/3719SmfT7boli3T2rVqaqrGZTDhgXE3vBvf1aUFC9TXp0JBlYpyOT37rDo61NSU3NiPNzbtgPFVqSifV6mktWv19NMKAjU0aGhIM2Zo0ybdcYckheG4L+ZjLOmBcRTXfuSIVq9WZ6cyGeXzKpd1003auFHNzclzuOocsxNLemD8hKHyee3dq7Y2dXaqUJCkclnFoj74QM3NCgJlMtWrXUx4YDwMb9G99ZaefFJHj6pQULmshgatW6diUdmsgkC5XLUvjOCBcywuOQj02GNav17lclL7lVdq82YtWJB8N646N+1/Q/DAORMfmM3ndfCgVq5UV1dyxqZS0aJFeu01XXFFsmNfzWX8SNzDA+dGFCU37R9/rNZWdXWpUEgetj36qLZvT2rPZlOrXQQPnBPx3M7ltGGD7rpL+/cny/jp0/XGG3rxRRUKqS3jR+I5PPBfxXP7xAmtXq1NmyQltc+erQ0bNHducn4+xcE+jHt4YOyGt9+++07FonbtSo7QRZHa27VmjRobk027GpH2CgOoW/EyPpvV9u1auFC7dmnSpOTZ2zPPqKNDjY0KghqqXUx4YGyGD8y+/LIef1xScmD28su1Zo3uvlsa8TS+dhA8cNbi2g8d0hNPaNu2ZM4HgebP1yuvqLm5emfjz1ZNXhRQw+Jnb7t3J/80Vbz9HgR68EG9915yYLY2axcTHhi94bnd0aFVq/Tbb8kyfsoUvfCCikXl8+kcmB09ggdGJS75zz/11FNauzbZjSuXNXOmtmzRzTdLVfyW65gRPDBaBw+qWNSOHZKUzSoM1dKizZt16aXV/pbrmNX2xxGQtvhJe6WSHJjdsSN5zJbJaNUqffhhUnuKx+PPChMe+DfxKv3wYc2fr59/1uTJKpU0fbpeeknLl6f5vbexqZ8rBdIQP2+76CI98IAyGZVKuvZadXdr+XIFQZ3VLiY88H/FK/YwVHu7SiVt2aILL6yh4/FnheCB0SqVNHmyVA+78f+E4IGzU4MHZkevPj+mgPTUb+0ieMAKwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gKDYMArckvJPQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "action": "('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "action": "('move', [-4.135838339281076, 3.196387800661631, -5.245157056926615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6cdd61038f20a65242282bf2970805a786f12e0359bcee59b3105e9d632722f3"} +{"episode": 85833, "episode_seed": 3037589592, "split": "train", "timestamp": "2025-09-16T00:20:52.960329", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3037589592, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "action": "('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "action": "('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "action": "('move', [-7.812957290352554, 4.669280498028849, 57.71736840533424])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI30lEQVR4nO3dz49ddRnH8eecMy0lxJoQlqyksQhCoKGAoPxI+FXAhABbiIZAiAVlA1oQiNCFEEFBF2z4H6oQVlCk/KybGoIIDdiFJhRsLdPQEjv3nuPizhhQkdYYOvd+Xq9lZ3Mm6TvPc8/9njPNMAwFZGiP9gUAXxzBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5CpCX4Yajw+2hcBU246gu/7qqquq2E42pcC02wKgh+Gatsaj2vbtmqao301MM2We/B9X01Tb7xRGzbU9dfXjh2L/wj8D5phGW/Jo1HNzdUrr9R119Xu3VVV3zxv/MK2rppqGtMejtiynvBtW8NQp51W69ZV09SKFfXSK+3mB4e2rdHoaF8cTKFlPeGrajyurqvf7xguu6zfs7dr2zrhhGHLljr33GbyI+DwLesJX1VdV+NxnXFm8+N7mmGopqn3369NPxr27Ruaxod5ODLLPfhaav7Wje1llw6jUc3NNb99oXnyyaZtq8oXdXAElvtK/0k7366zzxrvP9C1bR1zTP/yS80ZZy6OfeBwTMGEnxiG+uraeuhn3TBU19XBg+1tG4dDh0x4OAJTE3xV9X3dcMPw7av6Q4eGbq5efrV9+OFqW5/k4XBN00rf99W29Yc3hsuvGN7b3TZVxx5bW7fW+vXljj0cjmma8G1b41Gd+vXmrrva6msY6qOP6s47a36+msZuD59vmoKvqrarhYW65Za6/Irq+1q5sl58cfjVL/vJYXvgv5umlX5isti/+WZdfHHt2VN9X19e3T/zTHPe+Y7iwOeYsglftXiX7pRT6r57+74fVqyo+f3tvffVgYMWe/gc0xd8VU2O3Gy8rb3yin5hoebmauvW4fFf9O1U/jbwxZm+lX5ictU7d9ZFFw4f/LVpmlp1zLDtxWbdunIUBz7LtM7Eyfa+dm3dd+/Q933T1IGDzcbv9aORxR4+07QGX0vN33Rze921zWhUK1bUa9ubzT/pqzw8C//ZtK70E5Pb8jt2DFddOby3u23bOv742rKlzj9/8eUZwCdN8YSvqq6r0ajOPLO55+6h64auqz176u67a9++8vAs/LvpDr6WHp69+dbu8subhYXqutq2rZ54YvEL+WleX+D/b7pX+onJbfl33qlzzql9+6rr6rjjhmefbc46yx17+JSpn/C1dPduzZp66KHFwufnmztu7z8+eLSvDJaZWQh+YhjqxhvrmmuGhYVhxYp6+bX2kUe8Bgs+ZRZW+onJGfu33xouunj44IO2aWrlXP/Ctmb92c7Yw6LZmfCTM/ZrT27uv79tm6qqj//e3nFHzc9X+dsVUFWzFHxVNU2NRnXDDbXhivF4PKxcWdt/V4/9vO+66nt37GGGVvqJyfb+1h+HSy6t995rhqG+dNzw1NPDBRe2juLATE34Wvpa/uSvNZs2DX0/zM3V/o+aBx5s9+/3x2dh5oKvpb8qvXFje/WGxYdnn3tuePxxD9XAzK30E5Pf6U+76vzzas+eqqpVq+r552v9ekdxiDaDE76WjuKc9JXavHnxXXcHDtTtt9ehQ+Y80WYz+Fpq/jvfqeuvr/G4Vq6s7dtr8wN9ldddkms2V/qJyR3711+vq68a/vyXpm1r9er6za/rWxd4jz2hZnbC19LDs6efXndvGubmhrm5+vDD4Yd3jffPD+UoDpFmOfha+pbuppvbKzfUoUPVdc2r27tHH6229UmeRLO80k9Mzti/++5w7vr+b/Nd19Xq1cPTT9W532gmP4Ics///fTLMTzqp+enD7eSA7d699f0f1N695jxxZj/4qsXXXX33pubaa/vRqKqanTubXbuO9mXBF272V/qJf74V55JL6tRT67HHas0ah3CIkxX8eFy7dtWJJ9aqVWonUUrw/0LtZIr4DP9Jk/t2aidT6ISHTHETHpIJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8A+PYLPdFLUeZAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "19db8f4d839464a1e18a2d26e3b483677ca93aa0e52e0ac52ab1d909371a62ac"} +{"episode": 85834, "episode_seed": 72892368, "split": "train", "timestamp": "2025-09-16T00:20:53.571811", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 72892368, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "action": "('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPklEQVR4nO3dX6jfdR3H8df3nN8Zs8T5Z4rkn6VTKTGhGC5FvGogDizCLjRBIfBCuhK1Irc5Ci01vdELRQwK8aZAmSAhQhSCM40NFEFTJ+VElopWm/P3O79vF7/TmYvVhX1/5/uz9+Nx+Tu/iw87e/4+f76fc07Ttm2AGub6HgCwcgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChk0PcA+I9Go4zHh73SNBkM0jQ9DYhPv6Zt277HwL9r27Rt5iy/6JrgZ0vbHprAH3oojz6aublMvkUHDuT007NlS9aty3js44BPwpJ+VrRtxuPMzyfJK6/kxhvzxBMZDg+9YfPmXH99TjrJ5M8nJ/iZMNmrz8/ngw/y859n27a8/37m59M0aduce25uvz2XX973KPn0E3z/RqMMBknyu99l27b89rdJsmpVPvooxx2Xa67Jtm059tjk8AU/fAL28H1q2ywuZjDI3r25557ce28+/DALC0sr+U2bctNN2bQpiU073RB8Pyb/6pPp+uGHc9dd2bUrSebns7iYE07Ili259tqsWZPh0KM4OiP4HixP12+8kZtvzmOP5eDBpTV8km99K9u354tfTD622odOCH5FTQ7n5uayf39+8Yts2ZK//jVzc0uvn3FGbr89V1yR+flD74QOmT5WznCYhYUkefbZbN2a3/wmydKO/ZhjctVV+dGPsnZtEg/emBYz/EpYPpx7++3cd19+9rPs33/ocO6SS3Lzzdm8eemdtutMj+CnbrnhX/86d96ZnTuTZDDIaJQ1a/L97+e663L88RmNlh68w/QIfoqWD+f27s0PfpBf/eqwif0b38j27Tn//MThHCtF8FOxfOT20Ud5+OHcckv27l26Fd+2+dznctttufLKrFrlcI4VZVrp3vJ0vWtXtm7Njh3Jv27OffazueKK/OQnOfnkxHUaVpwZvkttm9EoCwt5553cf39++tN88MHSdj3JV7+am27KN7+59E7bdVae4DuzPF3v2JE778zvf5/866nb0Ufnhhvy3e/mxBMdztEnwXdjMmPv25dbbskjj+Rvfzt0c+7SS7N9ey64IHE4R98E35lf/jJbt2bPnjRNmibjcU48MT/+ca6+Op/5jMM5ZoLguzEe55JL8vTTSxP76tX5+tdzxx05/fSlr0qdWSD4DkzW83/8Yy6+OAcO5CtfyY035sorD/sqzALBd+nuu/Pyy7n11px8chYXMzcndWaL4Dvz8V81u/xzMjBTBN89O3ZmlmdEXZp8eKqdmSX4LtmxM+NMRlCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQieTrVt3yPgvxE8HWnbDIcZj/seB/9N0/pIplttm6bpexAcmRme/9lkznjvvdx2Wy67LE8/fehFZozg6chwmMceyxNP5KmnkpjkZ5Pg6ULb5qSTsnFjBoPs2pWDB/seEEcmeP5nTZPRKEnOOSejUXbuzIEDiVX9LBI8XZgs4M86K0cdlbfeyhtv9D0gjkzwdGFuLknOPjvr16dpsnNn3wPiyARPF5ombZt16/L5z6dp8uyzfQ+IIxM8XWiaDIcZDHLmmRmP8+STbuDMJsHTkcmq/sIL86Uv5YIL8uGHnszNIDft6NT+/VlYyMJC3+PgyARP1yaX6geDpTmfWSJ4OuUi/WzzGUx3JrW/+mq+97185zvZty+J07uZIni6M1kt7tmTO+7II4/khRcOvchsEDzdmSzmN2zI8cfnwIHs3p0ki4v9DoqPEzzdmVy/WbMmX/hCkqUZ3pZ+lgierrVtLrooSV5/PX//ewYD2/jZIXi61jTZuDFJXnstr766NO0zGwTPFGzYkPn5vPlmXn89cW43QwTPFKxdm7PPznCY557reygcZtD3APj/MjmiW706mzblqKOybl2SDAYu5MwIN+2Yjr17MxzmtNNcsJ0pgodCfPoyHcsTiRllltjDMwWTyHftyuOPZ926fPvbFvYzwreBri1P6Q88kC1b8uCD+cc/Dnud/gierjVNFhfTNLn44szNZffu7N/f95hYInimYPIE7tRTs2ZN3n8/f/pT3wNiieCZgknw69fnrLPSNHnmmUMv0ivBMwVNk/E4p5yS9evTtn5N/ewQPFPw8T8+leQPf/ADczNC8EzH5Dnceedl9ers2ZOXXkoc1PfPc3imY7JjP++8nHBCVq3Ke+/1PSASV2uZruEw+/Zl9eocc0wGZpf+CZ4VMRplft5Bfe8ED4VYZTE1k5+BP3gwO3bkxRezeXM2bMh47F59jwTP1Ex+m93cXG64IX/+cxYXs2FDRqOsWtX3yOryWcs0tW0WFnLuuVlYyMsvJ+7b9UzwTNMk74suymiUPXvy7rtZWHAJp0eCZ/o2bkzT5M0388ories3fRI80/flL2c8zl/+kuefT/x5yT45tGOaJkv6447LD3+YtWvzta+lbTM/3/ew6vIcnumb/B9zXDcDzPBM3yT1yUreQ/heCZ4VMXkgT998D1gR1vOzQfBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjkn7sIap8BB6U8AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "action": "('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "action": "('move', [1.3403216565772045, -1.9629556425764534, -36.67805455738155])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "361d107ef78a04c9cf29d6c6e6dbcab0f988f9b34a780d3711cccdf2bb70d49b"} +{"episode": 85835, "episode_seed": 954678424, "split": "train", "timestamp": "2025-09-16T00:20:54.180574", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 954678424, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "action": "('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "action": "('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "action": "('move', [10.969794327782372, -12.518407784911005, 0.5950141216887156])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "42f644e2007d6d4bbc9ff8f67eb4c7799643ba49cf9e7885ae39913aa2b77eb7"} +{"episode": 85836, "episode_seed": 3491292626, "split": "train", "timestamp": "2025-09-16T00:20:55.123894", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3491292626, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "action": "('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "action": "('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "action": "('move', [1.8947834451561343, -3.0841460530560414, 54.498310956673116])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "322f6d91bf0c17a5c45cc18e59c89a2f563991e872c364a1b163d9a816cbdf05"} +{"episode": 85837, "episode_seed": 1686925635, "split": "train", "timestamp": "2025-09-16T00:20:55.735870", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1686925635, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "action": "('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "action": "('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALGklEQVR4nO3dfWhWdR/H8c8517VZ2cOkB+lRMo0eNKJEidaDjaSh/pFO50QMIXCElFCBBVHhnxVFBBVi6EpmkBE50iTBhyUU2h/GIi3RitDMhS3T2M7D/cc5uul933XvdtfD/Lxff8ncBQfde9/f+V3nXCdI01QAPISVPgAA5UPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMFj8NL0zD9gmCB4DF4QSFIcKwhofngheAxed7eeekpPP60oUhzT/DBSrPQBYFhJUwWBPvpIr7yiYlGXX65nnlEUqVDIxz6qGxMeg5FVPW2aGhsVRVq+XG++qWJRacqcHxaClP8nDEo25A8dUnOztm3TyJFasUItLfnXUd0IHoMXxyoUtG+f5s3Tzp0aOVJr12rGDJqvfizpMXiFgqJIN9yglSt18836808tWqSODgWB4rjSB4e/Q/D4vxSLimPddptWrtRVV+nIEW3ZUuljwj9jSY+zkCQKQ332mTo79fzz+dvyaaqQQVKlCB5nJzuf/3ecz1clfhPj7BQKimMlieJYcaxNm9TYqJ9+UhAoSSp9cDgTEx5DIY4Vhvr+ezU2at8+1ddr/XrV1eVrflQN/jMwFMJQaarx47VkiYpFdXaquVnd3QpD5nxVIXgMhSDIm1+6VC++KEmbNqm1Vb//LonmqwfBY+hk78M/+6yWLZOkDz7Qk0+qr4+b6qoH5/AYUtmPU5Jo6VK98YYkPf64XnpJtbWVPS5kmPAYUtkwLxT08statEiS1q3TwYOSuMGmGnB7LIZatlE3YoRefVUXXKD58zVmjJKEC3KqAUt6lBHX4VUa//QomTRVFOVb9CdOqLVVq1bl858xUyEs6VEyQaBiUZLSVMuX6+231d6uK67Q9OlKEi68rQgmPEosG+ZNTRo3Tj09WrBAW7YoDBVFlT4yR5zDo/SyC2y/+EIPP6yDBzV6tDo6NGnSf73xBiXDhEfphaHiWFOmqL1dl12mX37RnDnq6lKhwEV4ZUbwKIvsprr77lNbmy66SAcOaO5c7dolceFtWRE8yiX7YKzGRr3zjopFffONtm5l077M2KVHGRWLShI1NamnR3v3qrU1v682uz6PffvSY9MOZTew7ezP2a4ezZceS3qU3cCqg0AbN+qJJ3T8uMTTKUuOJT0qJJvqe/aopUVHjyqK9Prr+bt0zPmSYcKjQrKVfF2dmpok6a239Nxz/efzKA3O4VFpvb1auFDvv69CQS+8oGXL8ofVMedLgOBRUdnC/o8/NH++Ojokads23XMPn35ZIgSPSsva7u7WvHmaNEnLlzPhS4fgUQWyvHt7FQSqqaH20iF4VAciLwtOk1AdTj2XDqXE+/CoGkz40mPCA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxccCeeCB7nvFOdczOeCB7nqjRVHEsnO49j7d6t337L/8oWweNckyTq61MQ5B9y//PPWrVK9fW64w7t2JF/gy0+AAPnjjhWkqimRmGoY8f01Vfq6NDq1Tp8WJIKBb33nh58UCNGVPpAK4fPtMO5IBva2Qdb79+vDRv06adavz5fvdfWqrdXkkaN0tdf6+qrfT9BjwmP4SqLOes2S337dq1Zo85OdXXlX8weUd3bq2uv1SOP6IEHdOml/a8yxITH8DNwnks6dkzt7Xr3XXV15dty2VPnM/feq8WLVV+v666rxLFWGSY8ho1s4/3UbtyJE9q3T21tamvT4cOn7b2nqa68Uo2NWrJEEyaopib/YpLkr7XFhMcwkKaKIhUK+VT/4Qd9+aXa2vKHU0kqFhVFknTxxZo4UbNna+HCfPWu0xf/5ggeVS2b6sWTK9Ft27R5s9aty8/Ss18BfX2SNH68pk7VzJmaMaP/tUR+BoJHNTrj8rjsLH3DBm3friNHJKmmRlGUf1tDg2bN0v3365ZbJCmOlaYqFKj9PyB4VJHs2TMDHxv77bdasUIbN2rPnvzKuVMbchdeqAUL1NKiiRM1apSkfFVP6n+DTTtUhSRRkqhYzFvt6dHnn+u117Rjh44dkwacgdfUaNw4LV6spiaNHp3/dsh+FxT5cf4nTHhUWBwrjlVbK0lRpD179MknWrFC330nnew8+yEdM0aTJ2vRIjU29r88SRQEjPT/FcGjYrKT7Wws//qrtm7Vhg1au1bHj0tSTU2+GxcEqq9XQ4NaWnTjjRI3wJ0FgkcFDHyfbPduffihNm9WZ6d08vK4LPW6Os2Zo4ceUkODLrlEkqJIYXjaST4GheBRJme8GZ6m+vhjtbVp5079+KMkhWH/A6MnTNCjj2rqVE2cmL+kt1fFIqmfLYJHWaWpDh1SW5tWr9b+/frrL+nks+ElnX++pk3TY49p8mTV1eUvYaoPIbY1UXJZzD092rVLa9aovV0nTkgDpn1trcaO1cyZam3V9df3vyq7coa99yHEvyVKLruCffNmzZ4tSYVCviGXpho9WnfdpVmzNHdu/23qpxb/7MkNOYJHmdx+u269VXv3qq9Pcaw779T06Zo2TXffnX9DHCsM6by0CB4lF4aKIo0dq4YGdXWpuVlz5mjKFF1zjTTg8jjz+9jKg007lEOSKAx14ICOHtVNN+m88yQpihQE+VRHeRA8KiC7rZ2N9/IjeJQVt6ZXFufwKCtSrywWVYARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AttZeppiwnUMQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "action": "('move', [-61.39791404662983, 112.46614659002854, 55.34379958345187])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKsUlEQVR4nO3dUYhdV73H8d8+50xtM5TGNm1aRUY0oYo2mVRtx1bomxD0sTWt9KU+5aFyBbWoLyL1Ua9woYpIiojQwlUQLPRSBKtEa6u2BszUhkwUeyVtb1rTxGDtzJl9H/ZReluuGjvn7En+n8/T5DCBzR6+s9ZZZ681Tdu2AWoY9H0BwOwIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGC5+y17au/4BwheM5e0yTJeJym0fy5RfCcveefz6c+lU9/OmtrGY81fw4Z9X0BnFPaNk2T730vX/5yRqNcfnk++9msrWU4nAz7bG5GeM5GV/UHP5i9e7O2lrvvzte+ltEobWucPyc0rZ8TZ6Ub5J95Jvv25cc/zvx8vvGN3Hbb5HU2N8Fz9sbjDIdZWcmtt+YXv8j8fO6/Px/+sOY3P1N6zt5wmLW1vP3tOXAg73xnzpzJHXfkgQfSNBmP+744/h7B8y8ZjTIeZ9euHDiQN70pJ07k4Yf7vib+MVN6Xof19QwG+cEPcvBgPv/5ycfybZuBgWSTEjyvT/d+/rW8n9+U/Cbm9RkOMx5nfT3jccbjPPRQ9u7N00+nabK+3vfF8WpGeDbCeJzBIEePZu/erKzkAx/I97+frVsnc342DT8MNsJgkLbNzp25886MRjl4MPv25fnnMxgY5zcVwbMRmmbS/Cc+kS98IUkeeij79+fFF5NofvMQPBun+xz+c5/LZz6TJN/5Tj75yayu2lS3eQieDdWN81/8Yu68M0kOHMhdd02aPxttaxveVAieDdUN5sNhvvSl3HFHknz3uzl+PMk/ucFmPJ78frABbxpsj2WjdQt1b3hDvvKVbNmSj340CwtZX/+HD+R0K/oPPpj7789112XPniwu5uKLfaK/kXwsxwz93efwum31H/947rknSS69ND/8YXbt+n8f7eFfYErP1LRt1tYmS/R//nP27883vzkZ/18zzHQvNE0OHcpwmLm5vOc92bkziQ/yN5IpPVPTNBmNkqRtc/fd+frXc999ueKKfOhDWV9/1TS9bTMa5fjxHD8+eWZvYSEXXZTV1czN9XP55yW/PJmybuy++ebs2JFTp3L77Xn44QwGWVt75Xd184DHH8+JE0nSNLnmGqv0G0/wTFm3bn/ttfn2t3PVVTl5cnJsRrfB9q+6af6hQ5NHdbZty+Li5HEeNpDbyfQNBhmPc/31ue++bNuWZ5/NLbfk8OEMh397CG8wSNPk8OHJ/7j00uzebaPtxnM7mYluU91NN+Vb38rFF+d3v8tHPpJf/jJJ1te7N/B//GN++9vJty8s5JJLJiffs4EEz6x0B2Pt3Zt7781olOXl/OhH3aL9eNwm+c1vcuxYkjRN3vteH79PhVV6Zmg0yvp6br45p07lyJHs39/tq23Xm7Ttykrz3HNpmlxwQZaW0jSC33iCZ7a6h+0/9rHJP9s2TTMcr6cZLC9PRvULL8z11ycR/MYzpWfmXtlx07QP/tfgrn/703N/+vVym7Rtm4WFXHHFq7+RDWGEpyfdo/NPPdXeeltz6uTxo3OHVv49GSeDG25o4lC86TDC05Pu0LutW9tb9iU5/sDB/z6aUdMmzQ039H1t5y8jPD3pFuW2bx989T9y+rlf/+dl66sZNm2SpaW+r+38ZYSnV+ttc8EFq/fc+9hbb0+y2g7f+pbxlds9UjstRnj61DZN07Zn5rb+7KKbmiZtO1i6MRduSazYTYcRnr41zYn/yZHltttZt7SUOcPQ1AiePnXD+K9+lTZN9/XiYuKc26kRPP376U+TZHU127fnzW/u+2rOa4Knfz/5SZK0bfbsyeWXJ97AT43g6dmLL+bw4cn22N27c8klzr2YIsHTmy7sxx7Lyy9P/vmudyWxK3aKBE9vupW5Rx/N6mr30F3e9rbEfH6aBE9vuhG+W7FLcvXVgp86wdOP7pSbl1/OysrklR07cuWVrz3Plo0kePrRDe9PPJEXXpi8cvXVaZqsrQl+igRPP/52LvXJk0kyP59rrkn82Ykpc3fpRxf8E09Mzqe/6qrs2pUIfsrcXXrQtpmb+z9v4Ldvz8JCd8Jdr1d2vnN36UG3Mnf0aH7/+8kr7373K0+pZ1oETw+6Fbsnn8zTTyfJ3Fze977EfH763GB60AX/1FP5y1+SZH5+csqN9flpEzyz1n0Cv7qaJ5+cvLJ1a97xDn9YahbcYGatO472mWeyvDx5ZXExw6E9M7PgbBFmrQv7D3/I8vJkDn/jjYn5/EwY4enHsWN56aWMRmnbSfDMgOCZte7jt7/+5djMz092xRrhZ0DwzFQ3nz99Oo8/niTjca67Llu29HtRhQieHpw6lZ//fLImv7SU4bDvCypD8PTg2LGcOZO5uSR5//vTNJboZ0TwzFT3Rv2RRyY7YYfD7NyZRPAzInhmrW3zyCNp24zH2bMnl12WWLGbFcEza2trefTRSeHXXps3vrHvC6pE8MxON28/fDjPPjtZqNuzJ6ORY2pnR/DM2unTWVycnHuxY0fiDfwMNa2bzWyNx3nppbzwQo4cye7d2bZt8nQ9MyB4KMSUnn60rZl8D+yWox/m8L0wwkMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+V/Ew39l6GsDGAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8b5dbbbffb8e406f9b804b3d980e2c3250827142817b689a6de8010cb547a899"} +{"episode": 85838, "episode_seed": 3732641724, "split": "train", "timestamp": "2025-09-16T00:20:56.344567", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3732641724, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "action": "('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIJklEQVR4nO3dPYhc5R7H8f+ZF7MvGkQEX4uAIAqKgoUEJIVgKgmCRbCySL+dCCns0lhpZ2khCEoQsbFVQaxUxFqsBFEUoruru7MztziTfbs3Xri6s3Of3+dTzQ4L8zTf+T/nzJkz3Ww2KyDD4LQXACyO4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4OEfMp3WbHbai/gvBA//hNmsBoPqutrbO+2l/BXBw982m1XX1Xff1c5ODYfLPOoFD39P3/bPP9fGRj37bL377nzUL6VutqxvRfA/m83mGQ4WMNF2d2s8rvfeq8uXq6pGo3riidrYqBdfrLW1qqqum69mCd4FBA9/T7+f/+OP+uCDevPN+uqr2tmpqjp/vq5fr/vuq+m0BoOazWo6reHwdBdrS09rJpO6caN++aV+/LF2d0/+9fq5vbJSL71UX3xR77xTzz9ft91WDz9cd901fzvY3q6uq+GwdndP96yeCU9rPv+8rl2r3d3a2qq33qrHHpuP2BPXH0j0r/T++/XII/X44zWd1mRSr71WN27Uyy/X009XVe3tndZxvuBpRz9NP/ywXnhh/swnn9SFC7W3t8CtdD/A+9frF/TZZ3XhQlXV/ffXxYt15Uo988yiVnOcLT2tufPOGo1qbW3+AdmiDYc1GNRkUtPpfIY/+mhdvVr33FM//FBvv12XLtWlS/XppwtfWZXgac/qak0mNZnU3t789NmidV2NRgdHEXffXdeu1ddf17Vrde5c/fprffRRXbxYFy7U999XHfpQ4eQJntbcfvvB462tqqX4OKzq3nvr6tX65pt6/fV66qn688/69tsajapu7vwXYrSYl4GFWV8/eNwHvyxms7rjjnrlldrYqDfeqHPn6sEH5+f5rl+vs2fruedO+nyDCU9rVlaqbl7/tkQTvm5egTOZ1Jkz9eqrdfny/Dj/p5/qypX68suqOumzDiY8rRmPazg8EvwS6Q/v++wHg/lx/pkz9eST9cAD8384SYKnNV1Xa2vz1Dc3588sl66r8fjgz7Nn6+OP56scnWyStvS0pg9+SSf8rays1JkzC3gdwdOawaDW1//fgl8UwdOOflM8GBxM+O3t07j2ZokJntb0wfc2N5f8DjSLJnha02/pe1tb8wnvKyM9wdOarqvV1fljW/pjBE9rbOn/guBpzeEtvQl/jOBpzeEJv38MT0/wtKa/8KYn+GMET4P6LX3X1eam4I8QPA3avz309raTdkcIngb1wQ8GJvxxgqcp/QU2+8H3N7pin+Bp0OGb3kwmp7eO5SN4mtJP+P5Ku/67NP1X4ukJngYdnvCCP0zwNGj/c/jylfijBE+D+vtH9efnTfjDBE+D9n/oqZb2tnanRPA0aDyu0Wg+4W3pDxM8DRqNamVlPuF///20V7NMBE+DhsNaXT2ypacneBrU/3psb3v7VJeyZARPg/otfc+EP0zwNGg0OritnWP4wwRPU/Z/r2k/eGfpDxM8DbKlvxXB06D+LH1P8IcJngaNx0dua8c+wdMgW/pbETwNsqW/FcHToOHQlv4/Ezyt6a+o7bf0Xedz+CMET1O67njwOzvuY3lA8LSmD359vYbDGg5rMLCrPyB4WtMHPxjU3l7t7taNG/XbbwfPhxud9gLgRDz0UJ0/X6urtbo6vwEOVdXNvO9BDBOeNs1mNZ3WdFqzWY3H7mk3Z8LTrNlM58c5aUez1P7vBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gVjD3/C7u6RVQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "action": "('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "action": "('move', [2.7604469788786847, 0.862608922035195, 20.805514078119632])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "29ce94bd2c9ad38db4df3af5de101749c201f327525e8cdb06807cd4911b4bf1"} +{"episode": 85839, "episode_seed": 4107319107, "split": "train", "timestamp": "2025-09-16T00:20:56.952619", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4107319107, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "action": "('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALL0lEQVR4nO3da4hU5QPH8d+cuXh7pS7YhQgSLWJRIioEsfLCgpokyaJ20Q3LVDbBpCRfWPZK7CKW1qKBRonXBHMrtTKMSNPIMumFWRS2LXhZNNDZ3ZlzenFO6l/0r5s7zjq/7+eVjCOeGeY7zznPec6ZVBRFAuAhKPcGALh2CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgUWZhqCgq90bYSEW82egCokipVLk3wgAjPMps6VJ99ZVSKYVhuTfFAMGjDKJIUaSWFs2apdmzVVenv/5SENB8yRE8yiAMlUppyRItX65MRocPq65Of//N8XzJETzKIN6Bf/xxVVerUFA6rW3b9MorCgIVizRfQkzaoTyKRaXT2rtXNTU6dUpBoFxOK1Zo0qQkeObwSoHgUTZx8++9pylTkgP43r31+ee66y6FoQL2PkuANxVlk04rDPXEE3ruOYWhslm1tGjKFB07Ru2lwgiPcopPv585o4cf1vbtymbV3q7aWr3/voJAQcCOfSfjixTlFM/e9eihhgbddpva25XJaP16LVqUjP/oXIzwKL/4iH3nTtXWqqVFQaB0WuvWadw4FQrKZMq9fRWEER7ll0qpvV0PPqj58xWGKhaVz2vGDO3fr0xGhUK5t6+CEDzKL5VSJqNiUfX1mjpVYahcTk1NmjNHx4+zb9+Z2KVHVxFP4J0+rZEj9c03yuXU1qbp0/XOO8kJPFw9Rnh0FamUokg9e2r1at18s9raFARqaNCbbzLIdxpGeHQt8QTeRx9p4kS1tSmKlM1q61aNGMFqnE7A+4euJZVSoaCxYzVvXjJdl8/rmWf0yy/JSntcDUZ4dDnx3nt8dc3aterWTa2tGjNGGzeqe3dulXFVGOHR5cT77ZmMli7V3XertVW5nBob9eKLiiIup7sqjPDoouKZ+W+/1ejROnFCkqJI776rJ59kNc5/R/D4r+K7VZTydFm89/7BB3rsMWUyCkP17avGRt1zDzv2/xG79OigsyNEvAK2lFIpFYt69NFkAi8IdPSo6up07FhyDg8dRfDooHhgPXNGK1dq6FDt2iWpdLPn8XXyL72k8eNVKKhbNx08qOnTS/S/VT6Cx+WcXfISRWpt1eHDWrhQd9yhp57S119r82ZJSqdLNODGXy/dumnxYlVXq7VV2aw+/FDz5ycr8BnnO4TgcWnFotrbk0nzYlGplJYv1513asEC/fGHevfWyJEaMqTUJ8eDQIWC+vfXkiXq1UvFooJAS5Zo3Tpls5yZ7xiCx8WEYXJzyWxWJ0+eu2Atk1Fbm/r318yZ2rBBO3aotjY5ki/lHFp8ac2IEXr9dUWRMhnl83rhBf30kzIZBvkOYJYe5zn7YYjr/e47rVmjffu0dq1uvFGSmpu1Y4cGDdLgwdK/h+7X6rqW+ETdzJl6+22l0yoWde+9+uQT9enDpP2VInhcTGOjVq7U7t1qbpakxYs1d+7/PCEe89Ppa9xZFOn0aY0erV27kvthTZmiVasI/koRvLd4Qi4IFEUKQ7W0aMsWvfWWDhxIku7XTxMm6NlnNXCgpORpunaj+gXisA8d0gMPqKkpuT3Ga69pzhwuob0iBO8qvrNMNpv8OQj0558aM0Y//CBJmYwGD9aECZo2TVVV5d3SC8Rhb9umRx5RPq8oUi6nLVs0ahQr8C6PSTs/YZjMvWezam5WU1Mywvftq0GD1KOHJk7U6tXas0fz5qmqqqvNicVn5mtq9PLLya1y8nk9/bR+/TWZ28P/wQjvJP4Nx/g02++/a9Mmbdyo6motXapcTkGgn3/Wb79p9OjkyfHI3/UOjsMw+daaNk1r1iQTeMOHa/169e4ticvmL4ng/Xz/vRoa9MUXOnQoeeTAAVVXn7u/RHw92jWfkOuQ+Ocojx/XqFHavz+5H9acOXr11eQ4vwtvezkRfOW6YIhubdWXX+qNN7R7t06elKRevTRypOrrNXSocrnkHvFh2MVTPyt+cQcPatgwnTihbFZhqBUrVFfHBN4lEXwlOn9CTv9ObW/YoNra5JH+/TV2rGbM0O23l2sbO0Xc/KZNmjw5WSvUs6c++0xDhnA/rIsj+MoSRSoUktQLBe3ZowEDVFWlINCRI6qpUZ8+Gj9eU6eqT59z/+R6GM8v6uzvzC5YoIULk7N0Awdq507ddNN1/cpKheArxfkTcqdOafNmffyxPv1UCxdq9uzki+DQId16q3r1kpQsSb/+g4gPXPJ5TZ6sLVuSCbxx47RuXXKYcv2/xM5E8JXlyBE1NGjbNu3dmzwyaZJWrUrG/PizH/+AWwV1EO+9NzerpkY//qju3ZXP6/nntWhRxXytdRqWKVSKffu0bJm2b1dTkyQFge67T/X1Gj783CRc/PE/e2xfKeLL6W64QcuWafx4HTumW27RsGHJ31L7+RjhK8VDD2nrVknq10/3369ZszR0qNW0VbzMbtkyrV+vlSs1YADH8BdB8JVixw7NnauaGk2blqx7j/l96v1ecQcQfKUoFHT0aHIRa7wqxfJTf8EFvrgAwVeW9nal01Z78ugQgq8grDXB5RA8YIQBATBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5B8a4w38V0KK3QAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "action": "('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJcElEQVR4nO3dz4vtdR3H8deZOffO6HjLX3CzhS3EQhELXIQiRRYI/aSwH5vAhZsIddOilvkPBFGCoKswggpBKqxFRJuUDIl21SaRcBfXumN3fpzT4vvtzLWs7q3mfC/zejxWh3HOvV/kPuf9+X6+3/Od2XK5DNBhY+oDANZH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8KzPcpnlMovF1MdRbLZcLqc+BmBN5lMfAC2Wy+zu5vz57O7m5puzYXE5Bf/XOXbDGv5b38p73pN77sl99+XPf576mFqZ8By74axxdze///34lXPn8ta3TnhEvQTPsRuCv/babGxkPs9iMU745TKz2bSHVkfwrMnWVhaLHB5mubSkn4zgWZPt7eTv5/OvvTbtsfSyacexG9btW1uZz8flveCnInjWZGsrV12VJMvlGLxbQNZP8KzJ1lauvnp8bcJPRfCsyfb2OOEj+OkInmO3OocX/OQEz5pcPOFdlpuK4FmTra3s7IyvVzfesGaCZ00uXtKfOzfpoRQTPMduOIff3j7apbekn4rgWZPTp0346QmedVgsMpsdTfjd3SQ+OTMBwXPsZrPxFvrVhD84GH8E2LdbM8GzDkPwqwl/eJjz5034CQie9bl4wtu3m4Tg+W8Nn26/HKsJv1jkL39JXIpfO5+H5zKtnlNzOY+hHN6xCv7gYAyeNTPhuUxDu6+/niefzL335uc/T3KJo351p91qSW/Cr5kJz3+yWIzDfLnM3l5eeSVPP52nnsrLLyfJM8/kfe/L5ua/f0LdasKfPp29vRweOoefhuD51w4Ps1jk1Knx9eZmHn88X/5y9vaS5Lrrctddufvu8T9dgquvztbWGLwl/SQEz5tZLLJYZD7P5mbOncvOzjij5/Ps7eWWW3L//fnUp/LBDx695RIusu3s5PTpJEcT3pJ+zQTPRVb9bWxkYyO/+lW+/e28+GK+853cdFOSfPrTufba3Hln3v3u5O+n7pcw3ldL+q2txKbddATPRVZT+oc/zJNP5vnn8+qrSfL00/nSl5LkbW/L5z+fJAcHSbK5eVl3z1x11TjhL340Pesk+G7DHXAbG+Nvdf3Tn/Lss/nGN/Kb34xJnz2bBx7Ixz8+fv/ql7/OL+9fzvBjYbWkT0z4aQi+1XDbzLAhN+zDv/pqPvKR/PrXSTKf56678sADeeih3Hjj0btms0vcn3tTOzvjkj6Cn4jg+6xSHyJfLPL2t2e5zA035M4789vf5hOfyMc+ls9+dmz7//cboVZL+njozUQE32S5zHI5bsj94Q/5/vfzve/ljjvy9a/n9Olsb+crX8nnPpcPf3j85sPDbGz8X2of/oxrrjma8K7DT0LwTWazzGZ56aU88UR++tP87ndJ8otf5JFHcscdWSxy22257bbx979tbv4vq/d/NlzmW034CxfGI2KdBH9yDRtsqxF94UJ+9rN87Wt5/vnxiTM7O/nQh/Lww7n11nHyD5ffL3Pv/VLMZjk4yMbG0YQfgh+2C2W/NoI/iVZn6RefhD/7bD7zmfEbbrklH/1ovvCFvOtdb3jjsNo/HsPp+ir44X67Y/vbeHOCP1mWyxwcjBtyBwd54YXcemtuvDGzWe6+O7ffnuuvzyc/mQcfzPXXH71ljRP2zJnxxYULOX8+b3mLfbu1EvxJsdqQO3Uqr72WZ57Jj36U557LY4/l0UezXObs2Xz3u3nHO8bPrK025NZV++pS/GB/P7u7Y/CW9Gsj+JNiSPeVV/LEE/nxj/PLX45ff+GF7O3l1KnM57n99iTZ3x9vkp/CxRN+eJQl6yT4k+LFF/PNb+YnP8kf/5gkGxt573vz8MO5776jTbhhqg8320zkn4O3pF8nwZ8UX/1qfvCDJDl7Nu9/f774xdx77z/uiU001QerS/HDw2r39nL+/ISHU0rwJ8Ujj+Tll3P//XnoobzznUdfv8JOkc+cyXye/X0TfhqCPyk+8IE899z4Idbhme9D51dS7UmuuSabm9nfz96ec/gJuAx6Usznuemm7O+/4WabK8lwRGfOjCcWf/3ruKQ34dfJhD9BVo+juoINS/rEhJ/GbOkHLGt0eJjXXx+n+vb2lf8D6qQRPBRxDg9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gYB2fH2jyJpOgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "action": "('move', [-5.641026775075454, -1.1137962467102134, -34.941784764014784])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKeUlEQVR4nO3dbYhVdQLH8d+599xhzWhAx3zIqBANRDQFtTBNWx+gNNHEiA2ykNiQMQMJe1G2LRLoi/I5wTf7IkkzKmlmzKWQjPD5AV8IWtvDjjI7CaFL7s6d87AvznHGwNbNmXbuvb/v5+WZucOB6/f8/+d/HgzSNBUAD4W+3gEA/z8EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIweM3lKZ9vQf4OYLHbygIJLKvJASP3hfHktTSovXr1dGRZ49KQPDoZWmqQkHt7Vq9WitWaMECHT7c1/uEq8K+3gHUoCDQhg06ckR1dWpp0d13a9Kkvt4nSJKClBMs9J40VRDo+HFNnaqODqWp7rlHX3yhIUPyH6FvMaVH71uxQleuKAiUJHrtNQ0ZoiSh9opA8Og1cawg0MaNOnBApZKiSI8/rsWLGdsrCFN69I44VrGor7/W9Om6cEFJokGD1NSkiRMVRQpZLKoMfA/oBWmqJFEUafVqtbYqDBUEamyk9orDlB69IElUKqm5WR99pDBUFOm++7RsmaJIxWJf7xyuwZQePZUtyLW3a84cnTqlYlFBoJYWzZypJFGBMaWS8G2gp4JAQaAtW3TqlEolxbGefZbaKxQjPHqk68L7/fcrjpUkGj5cx47p9ttZnK9ELKegR9JUUaQXX1Rnp0olSVq7ltorF1Mu3KwkScpJoaCtW/X55yoW1dmp+fM1f76SpK/3Db+AKT1+patjdyIF0tkzyYxZhbYLCgINHao9ezRhQn5NHhWIER6/UhBISv/173TrtuCx2X9eeKLtgopKkkTPPafx49XZSe2VixEeN9K12p6mKpfV2qp33om2/yX8+992ae4ftCsp/C5JNHFisH+/+vWTxNl75WLRDr8sW3bP1uKyafqWLVq1Ki2XQ+kf9aPW/vNPcdqvoLiurrhmjW65hcl8pWNKj+vJbpQtFlUq6dIlRVG+PQzTclkjRiTL/7hx2q5jyYRikMRJcckSzZqlNKX2SseUHtfo+seQTcqPHdOOHTp6VO++q6FDJamtLd3312DC2KN1434/VVcuJnFauPNOHTmihgZus6kCBI/raWrS9u06eFBtbZK0bp1Wrsx+kkqpNH1KdODLIAyLUaQdO/Tkk1x4rw6cw3vLrpgXCvnzbj/+qD17tGmTTp/Op/GDB2vRIj32WP7rcVooJpvX68CXYfaQzKJFWriQ99JWDUZ4V0miOM4X5LJ1+PPn9eijOnVKksJQ48Zp0SItXaqGhq5PFAr69ltNnqyLFyWpvl6ffqrx41mrqxqM8H66Ui8U1NamJNGwYUpTDRyosWN19qzmz9e8eXriiTzirjttEsWxXn5Z7e0KQ6WpVq6k9irDCO8kTfOXSEv67ju9/75279aYMdqwQXV1KhR05oy++UaPPJL/cjamB4GUv8di924tWaJyWZ2dmjRJzc2qr1ehwHJd1SB4PydOaNs2ffaZzp3Lt5w+rTFjum+wieP8CtvVVbjsiffz5zVvnk6eVLGoujp9+KFmz2Z4rzJM6WvXz4dodXRo/369+aYOHtSlS5LUv79mzlRjo0aOzEf+JFGSXJt6Jnvi/e23dfKkSiV1duqpp6i9KjHC16JrF+R09ST8vfe0eHG+ZcQIzZ2r55/Xvffe8I9lnz58WNOmqVyWpDvu0IkTXWt5qCaM8LUlezw9W5CLIh06pJEj1dCgINADD2j0aA0YoAULtGSJBgzo/siNLqBHkV56SR0d+fvq1q1TQwMX3qsSI3ytuHZB7vJlffCBmpu1d69ef10vvJAfCM6d0113qX9/SYrj7tn+f/2rQaBNm9TYqGJRcawFC7RzZ/4iWoKvOozwtSI7z25t1bZt+uQTHTmSbz90SOWySiWFoUaPlqTOToXh/3LyndX+1Vdasya/N2fYML36qkol3ldXrQi+Vhw9qs2btW+fLlyQpEJBkyersVEPP9y9CJeN6l3n9jcSxwpDvfKK2trytbplyzRuHK+ar2JM6WvFvHn6+GNJGjxYDz2kZcv04IM9GYWzqnfu1NNPq1xWmmrKFDU16bbbuk8dUHU4UNeK5cv1/feaM0dLl2rUqO7tN7W2liQKQ/3wg954I1+rKxa1erXq6xneqxtfXa2YMUN79+YPsWY3ymSd39TCWpoqjvXWW/l/LBFFeuYZzZqVHwhQvZjS15bshXI9m3Bnc4JDhzRnjn76SVGk4cN1/LgGDuw+jKBKcSpWQ7LXUfX49DoIdOWKVq3SpUv5c69r12rQIGqvBYzwuI401eXL+SNxkm69letwNYLgASMctAEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AUp6hq7IEu8UAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIJ0lEQVR4nO3cz49dZR3H8e85d8ZCMUESCdEUI5ioWGRBiCgEQUGkWkYgLIQWjIIKJkT/BRa61YUEGkzE8JsECQpCKSKsDIkQGwSpG20stWyEgiGUmXseF+c6pURi0cRh5vN6LSf3Jk9y73vO8zznObdrrRWQoV/pAQD/P4KHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIILnfzIMNQwrPQgOm+D5L7VWi4vV99X7Eq0ePivesdZqOq2uq/n5eumlevHFlR4Qh03wHK7WqrWqqq6ryaT27asffL9t2tSuv36lR8Zh69r4GcLbGDvvuuq62V927qwbfjw8sqPbvburqvn52rWrTjhh9jLezVzheVut1dJSVVXfV9fVyy/Xww/X+edOTz+93fyTfvfubly9Ly7WnXeu7Eg5XHMrPQDejcbUJ5Oam6uq2rWrHvtN3XhDe+YPVTUZN+qGoYahbdzYnXdeLSys8IA5TKb0HKK1GobZJb2qdjwyPPRwd8893QsvVFXNz9fiYlVVX8P5F3Sbvtgu29Ife+xKDph3RPActLwIP3Cgbr+t/eKX7bFfd6/+o6q65dTfe9Rw+ZZuYXP73Ln9+vVVNZsLWL2vCoJPNwyHbMjt/VvdfONw7339H59vS0tV1Y2z96rasKGuu66+tKl9YuPB1ftk4j78aiL4XNNpVdVkUlV14EA991z96IfTBx7o/v5SX1VdX22oqjriiDrl5Ol3vzf58uY6+ujZe13VVynBxxmPzVTNNuT27q0nn6xt22r79tkLJpPxBe344+szn27Xfqc/55yDb3/LjIDVRfBZxhNy4yT86afao4/WHXd2O3dWVc3NLf8vGE47rfvC59sVX+9P+nhV1fJ3ROerneBTvPlUzEO/avfe27Zv7/a80Kr697ynptPZVf2ii7qFzcMFm/oPfLCqamnJafk1RfBr2fJJ2NHrr9fPfjrcfXc9/ft+//5W1U3marpUVbV+fV19dV16aZ16ah11VFXVG2/U3JzU1xrBr03DUK3NNuRaqz176qab2h23Dn/dOxkX8KO+rw9/aPqtb/eXb+k2bJj9a3BVX8MEv9ZMpzUMNT9fVbV/fz3zTN1yS912Wx04UFX1r3ts7ZhjulM+OVxzbXfxxd26dbP32pBb8wS/dkyn1dps7/0vf64nnhhuv6PfsaNVdePd8sXFqmofObHO/uxwxdcmb95799xLCMGvBePBmHES/tTv2s/vqwcfrJ07W1U/9j8+A3PmmXXh5rZ5c208uatDd+wJIfi14/77h9tvrd8+2e/Z08bDsEtLs327Sy6prVvrjDPquOOqavZLNeMKnyiCX8XGefgrr9Rdd9W2G6fP/2ny2mvtzYdhj3nfsHVLfeOb/cc+WkceWVW1tDT7+QoyCX4VW1ys+fm65pratq3q4GHYtm5dd+KJw1VXdVde2S0/ymYCTwl+VZtOazKpxx+vhYV69dWqqmPf307/VPvqZbVl68Gy33I3nmSCX93GZ9fPOqv27auvLLQLL6yzz+nq0G08WCb41W389J59tiaTOumkqnGVXjXxU0b8O4JfO8Z7b3NS5+35dqwF40FaqfMfucJDELs6EETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOSfsd7DfPtwU78AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9a8c063512d55a351a3f1a3ae61fce3281af672945bd86004197442319f4e942"} +{"episode": 85840, "episode_seed": 3259537180, "split": "train", "timestamp": "2025-09-16T00:20:57.910876", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3259537180, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "action": "('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "action": "('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "action": "('move', [10.926611541052901, 0.8011387071092502, -8.936149886661335])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKm0lEQVR4nO3cfaiedeHH8c95WG2FsUwqcCZRTEIYkVRWksRyLDMW+BDzn9FGQ8jCHhCaRBFJ9YdZM2n2QGhF2qiTFacn2oLqD1dp0QykwqJCa6au5UO6c05/3LdnZ/769XvobOfc+7xe7L9z3+y64H5f3+/1vb73PTY3Nxegw/hSHwBw/Ageiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigge/pW5uczMZG5uqY9jkY3NnXCnBItmdjZJxk+ccfHEORNYHIMh8ODB7NuX8fGMj+fw4aU+pkUjeFhgbm4Y/Je+lE2bcvnl+f3vMzl5wsztBQ9HGx/PI4/kO9/Jvffm+uuzYUNuuCFjY0lOgOzdw8PRBoP8ffdl587s3JlDhzI+nnPPzXXX5cwzMzOTsbHhvxFkhGeRjfwIMjaW8fE8+9n54Aezd282bMjsbG67LX/72/BaMD6esbHMzCz1gf5/GOFZfIcPZ2wsExNLfRz/ibm5I2P4NddkYiJXXJHZ2YyP5777ctJJeepT8/jjmZwcraFe8CyawUfp0KE84xnJifFIa35IzxOXgNnZXHRR5uayY0de+tIkw6vAiBA8i2ZQxKWX5qGHcvnlOe+8o/6UjNZYuMBgxjKYyU9P5/WvT5JTT83WrdmxIytXJkfPCJYxwbM4Dh/O5GR+8IO84Q35+99z0kk544xs3ZrNm7N69fA1gwWv0RkO/5UHHsgtt+T978+f/5wkL35xrr4655+/1If1vyV4Fsfjj2fFimzfnk9/+qhnWKecki1bsmVLXvjCrFqVnBh3+H/4Q3bsyFe/mocfzsREtmzJVVfl9NOHs4BlTPAsgvn57O7d+dSncscd+etfk2Ry8siG9IsvziWX5Oyzs2ZNkuHutcnJpTrk/8D82X7ta/nwh3PbbUmyfn2+/vWsWjXchD8xsTxnMoJn0cyHsHdvvvGNTE/nrruSZMWKzM0NCz/rrGzalPPPz1lnJSO9sDeo+uDBfOxj2b0773pX3vzm4Y3NwLJczBM8i2kwng8+83fdlR/+MDffnO9/P8lR29JPOy3nnJNLLskb33jkvaO3sDdoPsmvf501a7JyZcbGcv/9ufrqvOMdWbNmGZ6S4FlkgyltnpiuP/hg9u/PZz+bW27JI48kyfj4cGB/+tNzxhnZvDnbtuWZzxy+fcTG/NnZzM0Nsx/McN75zlx7bV7wglx5ZbZvP/Ky5XFKgudYeVILf/pTbrwxN92U3/0ujz121CtPPjmXXppt27J2bZ72tCTDS8ayXwJ7wuzskc2273lPdu3Kgw8myYYN+dCH8pKXDF+zDJoXPMfWk2a1MzPZvTs33pjbb89f/pIkk5NHvn66cWO2bs3LX57nPW/44sElYzSyn7dvX973vnz720myalXe/e5s3z5cq1xqguf4Wbg55Uc/yq235nvfyy9+kTwx/x+Uv25dLrwwGzbk7LOTJ2YKozTaD0byXbty/fXZvz9J1q3Lddfl1a/OzMzwr0t0MoLneFu4sHf33dmzJ1/5Sr71rSQZH8/k5HDC/9zn5txzs2lT3vSmo/a2joD5dYjf/jaf/GSuuSYrV2ZqKhs3HlnGX6KTETxLY2H2Bw/ml7/MzTfnppty6FCSTEwMb+NXrsyLXpSLLsq2bXnOc4bvXbjDfZkaPIdcsSJJpqdz4EC2bBkO/gcPZm5uuP3wuN/YC56lNDub2dkjY9499+TLX86uXbn77uE4PzY2XAV41rNywQV529ty5pnD3esjMNWff24379FHc/HF+c1v8vGPZ/36TEwc58cSgmfp/dcRe2oqn/tcfvrT3HNPsmDAT/Ka1+Qtb8krX5nTT0+S2dnMzCzjb6nOL1oO5vA/+1le9ar84x8ZG8vWrbnyyqxdm+SoHTvHkuBZRuY/jIN677gjX/xi9u7N7bcnGS7XDxb21q7N5s157WtzzjnDtxw+PArr+XNzmZrKRz+aH/84SU47bbhFb/CN4mNP8CxHC6f6f/xjvvvdfPObmZpKjl7YW706Gzbkggty4YXDB/jL42n3f28wzt9/f264IddemwMHkmT9+rz97Xnd64b3/MeS4Fm+ZmYyOzus4KGH8vOf59Zb85nP5IEHkgXz/BUrsm5dNm7MZZctk6fd/9bge4VJ9u/PRz6SL3whSV7xikxPZ/XqY33FEjzL3cLRPsm992ZqKrt25Ve/evIPxp9ySs47L1dckZe97Pgf5v/F/CbExx7L9HSuuiqXXZa3vvWo8zw2BM9oeNLC3uxs9uzJJz6RffuGC3vzW/Tf+9584AOj8NB+fjAf3J885SnH4f8UPCPmSSXfeWc+//ns2ZOf/CRJVq3KnXfm+c8fheCzBN8QFDyjavC1vMEU+MCBTE9naiqnnpqdO0f853SOJcEz2gbP4QerYA8/nEcfzcknL/UxLWOC50SwMHv+DcFz4lh+PzCz7IzibwjCvyb1/9Fy3pQELDLBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5F/ArCyzA2cZx/xAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e814bd66acf1cfc9c87658eaed855f3a333d9fbb130408841679d6777afd3742"} +{"episode": 85841, "episode_seed": 3459292294, "split": "train", "timestamp": "2025-09-16T00:20:58.534153", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3459292294, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "action": "('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALHUlEQVR4nO3db2hV9QPH8c+5u9t0VgpZMssixAdBGaVPIuxBklIomjWclskoZ9AfabBAtAj7gxmkBCbphmb0Z6GIThEijRWRVChl9CRSJPCBpul0ze3ec24PztlMf/NPzn733vN5vx6Icp9c2X3v+z3f8z3fGxQKBQHwkCn2GwDw/0PwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeuLRC4fy/lCmCBy6hUFAQKIokKQjKu3mCBy6mUFAUKZ9Xc7OWL5ekICj2exqEbLHfAFDSwlDZrFat0jvvSNKRI2pq0k03lWv2QaGsJyjAfymezO/cqfp6dXUpCJTP6/vvNXFi8lLZYUoPDCyKFAT65Rc1NKizU5Lyea1YoXvuKdfaxQgPDCiKlMnozz81ebL27VN1tXp61Nio99+XVMbBM8ID54sHwe5uNTRo3z5VVamnR5Mn6403pL6Rv0wRPHCOQkH5vKJIL7+srVuVyai3V7fdpnff1ciRCkNlyjkapvTAWYWCCgVlMmpt1bPPKooURRo2TNu3a9IkhaEqKor9FgeH4IGz4kv3r77SI4/o5ElJCkNt2KD589NQu5jSA/3i2g8c0OOP6/hxZTIKQy1dmp7axQgPxOKF99On9eCD2rNHVVXq7VV9vTZuVDYrlfkGu37stANUKCgMlc+rsVF79iibVW+vJk7UqlWqrExG/nRIy/8DuFLxbvlsVitW6JNPVFmpfF5jxmjjRo0aVfbL8udhSg9r/cvybW1qaEhuyNXUaNMmTZmSnkv3fin63QX8e/F0/dtvtWCBursVRQpDvfmmpkxRPp+22kXwcBZFqqjQoUOaP1+nTqmqSmGoRYv03HPJJD99mNLDVPzB7+rSjBnavVuVlcrl9PDD2rJFVVVlvFv+4hjh4ShelpfU1KTdu5XNKpfTnXeqpSXNtYvg4Smesa9cqXXrVFWlKNItt2jjRtXWlvezMZfElB528nlls9qyRXPmKAwVRRo6VOvXq64uWahLcfCM8PASH1n13Xd65hn19EhSFGnJEtXVKZdTNpvm2sUIDyvxxfnhw5o+XXv3Jvtnn3pKLS1pvm7/J4KHkShSLqe6OrW3K5tVPq/Jk7Vtm2pqXIJnSg8X8Y66xYvV3p7sn73jDq1fb1S7CB4m8nkFgVav1sqVqqpSPq9Ro/TeexozRmHoUruY0sNBLqfKSm3bprlz9ddfkhQEamlRQ0Pykg9GeKRcFKmyUvv3q6lJXV3JvpqlS5NHZaxqFyM80i3+dJ84oenT9c03ybL8E0/oww+Tl3wm8zGCR5rF3wA5d67a2pJl+fvu044duu46ya92MaVHisXL8kuWqK0tWZYfO1atrRo+XLKsXYzwSKt4NW7dOjU2qqJCYahhw7R5s6ZOTeGxFpePER4pFK/G7dqlxYsVBMpklMlo5UpNnZrOYy0uH8EjbeIn4Q4e1PPP69gxVVcrl9NLL2nBguTEC2fFntKn6UBQlID449zZqenT9fXXyULdrFn6+GNls8pkTC/d+xX7FB9qx39g0aKztd99t9asUXW10f7Ziyhqb2fO6PXXpb5fy8DgxEkvW6YPPlB1dbJ/dsMG3Xhjyo+1uHxFDT6K9McfUt+BQ/E9U2BwRoxQTY16elRdrdZWjR+vfJ6pZKLY1/Cx/vskXNLjati5U83NWrBAixYlYzvDe6wEgo/nYR0duvlmjR1L8xik+AN19KiGDNE110iue2wGVOy04qNDd+3So49q5kzt369Mhkt6DEYQKIp0ww269lrG9vMVO/j4t/Hvv+v4cf38s2bO1JdfJj8xsseVymT4BA2s2MFnswpDzZunjz7SyJE6cECzZ+vTT/mJYZC45T6gEriG7/fFF3r6aR06pKFDtXy5Xnih2G8ISJuSCT6e2//4o558Uj/9JEnNzVq6NLkOA3A1FHtK3y8IFIa66y5t3aoHHpCkzz5TLqcgYGIPXC0lM8LH4u8EOXZMr76qujrdf//Z/ZBsjAQGrcSCV9/em/jPOPLOTnV1qbbW+jlm4GoomSl9v7jzuPkg0IkTWrhQ996rH35QRYVyuWK/P6CMlV7wOndj1G+/acsWHTqkGTO0Y0dyUhGAK1KSwcfioX7CBG3apNGjdfiw5szRhg3KZlUosJIHXIESDl5KluinTdPmzRo3TqdOaeFCvf12smGS5oF/qfQW7f5XvHT/66+qr9fevcpk1NSkZcs0dChL98C/Ug7Bq2/p/sgRzZunzz+XpPZ2TZuWPELP03XA5SmT4NXXfHe35s/XrbfqrbeSWX0mw+064DKVT/D6x96bM2dUXS1JQaCTJzV8OE/RA5ejrCKJh/Qo0pAhyT+3b9dDD6mjIxnnAVxUWY3wsf4vATx9WuPH6+BBXX+91q7VrFnJqyzjARdQViN8rP+eXE2N1qxRba2OHVN9vdauTV7lMEzgAsow+Fic/dSpam/X7bcrl9PChXrtNeVyHJIFXEjZBq++J2onTNDWrZo0SZJeeUUvvnj26GsA5yrn4KXka0HHjVNbmx57TJJWr9aqVUzsgQEV+6umBi9uvrZW69drxAh1dGj2bIndOMAAynCVfkDxffhcTkePavToYr8boESlJXiJs3GAS0rRvJfagUtJUfAxagcuLHXBA7gwggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5G92yw5wAzrBJgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "action": "('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "action": "('move', [-7.606851154336564, -1.0519988966786544, 29.239036567266112])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4c2ce4b74303e43173728b8d1756a6421bb4c0f62d75f71a36717305358099e9"} +{"episode": 85842, "episode_seed": 748301537, "split": "train", "timestamp": "2025-09-16T00:20:59.141960", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 748301537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "action": "('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "action": "('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJgklEQVR4nO3dTYzcZQHH8d/M7rZCaMEerEihVN5UPHghMYYYDxiDF5DAhQMxKgcDQSAmJhCMF6IJCcFEPGi0JpqoiZFw0ovhCBpvJIC0SQuxLS8BG7rB7b56mGHbrksVX5ju/D6f/A+bdjP7n2S/83+e//PszGBtbS1Ah+GkTwB4/wgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeisxO+gTeD2trp47V1czMZGZm0ucEkzCdwa/nPfp6djaDwaTPCc4Bg7VRFlvQ6Sd+9p4XF3PwYA4dyssv5+mnc/PNueWWLC9ndjpf7uBdbY1f+dMv14NBhsPk3SOfn8+BAzlwIH/5S158MQcP5s03Mz+f+fksLmZhIR/4QG65JcPh+NGgx7kY/OlT7rW1zMxkONxY5spKFhaysJC3387LL+eFF8Z5P/98jhzJ8nKWl7OysvnjHz6cEyeyY0f+xeDG6wFTZ/LBr99LG30xGGRubmNoJ0/m+PEcP56//S2vvpqDB8fHgQN56aWNDzh6dfjn2mdns2tXduzI7t1ZWBgH/65FLy9nZkbzTJkJz+E3nUgvLOTYsbzySo4ezbFjOXIkL700Po4c2fjNc3MZDrOykuXlM/59MMjFF4+PD384e/bkssuyd28uuyyXXprt2896Wisr7uMzlSZ/0+7kyRw6lMOHc/hwDh3KX/+a117Lq6/m9dfzyisbv3m0ora6ujHvJHv35vLLc/nl2bcvl16a3btPHdu2vZcTWl3NcJjf/Ca//W1+9KNccMF/8+zgnDLJIf3ycr7whbz2Wt56K2+9lRMnNhmHDwZnzLRXVrKyksEgV1yRq6/OVVeNj927c+GF2bkzO3dmbm6TH7S6Or7bNxiMj02sf9OPf5z778/8fM47Lz/5iRv6TI1JXuEXF882tB5N5rdty7ZtufjifPzjueaaXHNNPvax7N2b884b/9c/p7u6mtXV8SOcLe8NRsP4tbV897v5zneytJSrr87+/fnMZ8zkmRrnyoVrZmZ8fd65M7t25corc9VVp67hZ59yj/LOOwt1w+F43e49n8Hf/54HHshjjyXJddflV7/KRz+qdqbJJIMfDnPjjdm1K3v2ZN++7NuXvXtzxRWbDJ83HYWsZ/if5L3h0QeDvP56vvGN/PKXSfLFL2b//nzoQ2pnykxySL+2tsmofm0ty8tnjMb/v8WNnv7SUm66Kb//fZJ85St59NFceKF79UyfSf613GCQ7duztJTFxSwtZWVlPDifm8vs7Ob7bf7HRhfw0eae66/PcJgHH8wPf6h2ptWEl+UmNmQePesNP/vpp/PpT2cwGK/MwdSZ/Dr8BKzX/utf58SJfO1rZ1zPzduZXufKXfr3z2ixfTDI97+fe+/N3FwuuSQ33jjeS/t/v2cAk1Q2cB2N1ZeW8q1v5d57k+Taa3PRRadeBWCqNQ3pR2P148dzzz35+c+T5POfz09/mj17DOMpUTOkHyV99GjuuCN/+EOS3HFHfvCD7Njhhjw9aoIf1X7DDXn++czM5JvfzMMPZ2ZG7VQpCH60j2e0T/7887NtWx55JPfck2T8jpZQY9rn8Bsm5wcP5k9/yu23b74OD9NueoNfT/0Xv8inPpVPfvLU6N0wnlZTuiw3WmZL8tBDufPO3HVXjh3LcDh+szu102oa5/CjC/jbb+fuu7N/f/LO22iM3tzCnlmKTd1v/6j2Y8dy663j2m+/PU88kY98xA55mK4ARn/39sIL+dKX8rvfJcl99+VnP8sHP6h2yFQFPxq0P/VUbropf/xjBoN873t59NHMzmZtTe2QKZnDr38wzWCQ+fm8+GLOPz+PP54vf9kmeTjd1l+WW19+W29+//5ccEFuu03tsMEWD350i25xMc88k89+dtJnA+e6rTyzHW2MnZ/P3Xfnc5/LI49kZeWMT4oGzrRl5/Cj+3BvvJGvfjVPPpkkzz6b2C0LZ7M1r/CjefuhQ7n55nHtX/96Hn/cFjo4uy04hx/VfvJkrr8+f/5zZmby4IP59rfVDv/SFhzSj95Vdvv23Hlnjh7NAw/krrtOfdY08O624BX+dM89l098Qurwb9rKwY86t2cW/m1bORW1w3u0la/wwHvk8ghFBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gEO20nrc/lS3QAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "action": "('move', [0.8148309744163562, -0.5874124054992206, 16.394403542659138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIrUlEQVR4nO3dTYhd5R3H8f+5904mFUya4i4LS3VhIRttBamLFCq6EElEjfEtIaNFisEIsWBbXYgWrFJbfGlttaZgRUFTSmNiqoJUjLt0o0UXKYnQF0GjpYJm5s49p4s7pi9EMVQa7v19PotZHy7znec5/+ecO03XdQVk6J3oCwD+fwQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQT/sdq2uu5EXwR8pgR/bKNR9XrVNNW2J/pS4LMj+GMYjarfr0OHavfu6vVqNLLUMyUE/98WF6vfrz++1l16aa1bV7t3V78veKaE4P/DaFSDQb30+279+m7//qqqTZvqhReW1nmYdIJf0nXVddXv1292tpdc0h34U292tkajWrGiW7nyRF8cfEYEX1XVddU01TT1yM/bDVd07xzuLZut+fnuq18ZPf98c/bZ1bbV75/oq4T/meCrbatpanGxvn9n983razjsz8zUwnx3wXmjZ/f2Tz+9uq56PiemQvov8vj47f1/1E031a23Vb/f6/drOOyuubL99W8Hp5yytPjDdIgOfnz89tZbtWVL9+CDtWxZ07Y1GnXf3t49+sv+52bVzrRputQTp7atXq8OHKjNm+uVV2p2tubna2am7v5Bt+2mZvyp2MkzZQYn+gJOgPFAvter/ftr48Y6cGCp9hUruocfbjZsUDtTK26F77qlkftzz3VXbWzfea+/bFktLNTq1fX447V27dIzNnbyTKWsVexo7b96rLt4XfvOe/2ZmVpYqDVrau/eWru2qpbO52AqBQU/fg2m36+77665uTqy0B8Majjsvr62feaZWrPGezJMv5TgxyO60ai23djdcku1XVNVi4vd5Zd1Tz3VnHrq0vkcTLeIod249vffr7kt7dM7e/3+0oPx27bVXXf1li9fOp+DqTf9Q7vFxRoM6q9/qysua1/a1xsManGxZmfrzjvr5purPvpzAAmmPPhx7a+9VldeWa++WoOZWhx2qz7f3Xd/c/XVTZVHa8gytVv68UB+MKgXX6y5ue7QoWZmpobDWr26e/QXzfkXNONH6NVOlKndyzZN9fv15JN1+eX/qv3LZ9SuXb3zL2gWF5e+wQqiTGHwR+9R7r23m5urt99uBoMaDuvcc+vZvXXmmUv7fAg0bcGPRtU0NVyom7e327c3H35YMzO1uFgXX9zt2lXj4ze1E2uqgh+frv39vW5uy+iH9zZNU4OZGg7rhhvqiSeaVat8jwXppmdKPz5d+8ufu2uvHf3uuX5/0FRXXdvecUfz3e81R1+YgWRTEvz4dO3117trru72/6GZmWmGw5odjH7yUG/uWgN5WDLxt7NHX257+eXatKk5eLAZv/22auXosceaCy9qjv5LCWCy97jjjXrT1M6na/36Oniwli+vhYX60hfbPXt6F17UUzv8uwkOvm2X7tvvv6+76qru8OFavryOHKlzzqndz/bO+VoznuGpHY6a1OCPfrH0rd8Z3bit5heaZcvqyJFat6527qwzzvA+DBzDRA7txrXPz9fWb40e2dH0er2mqdGou/76uuee5uSTvQ8DxzZ5WYxH7u++Wxsuax/Z0ZuZ6bVtjUbtbbfWAw+oHT7JhE3pxzG/8UZdd123b18zO9vMz1e/N/rxj5qtNzbjF2bUDh9nkoIfz+SraseO2revOemk+uCD+sLK9sGfNhuv6I1XfrXDJ5iwe/hx1YcP1+bNtWdPnXZa/eyh7hvnNRZ2+DQmLPj6aFf/5pt1++21dWuddZaBPHxakxd8fTSlH/9UO3x6E7kPbpqlvb3a4bhM5Ao/5uvo4HhN5Ao/pnY4XhMcPHC8BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/glDbRXVhGPjywAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "295a4b20174fda2d56b4664196536e292195edf787e908f556b1d875dbe2e300"} +{"episode": 85843, "episode_seed": 3050633469, "split": "train", "timestamp": "2025-09-16T00:21:00.088798", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3050633469, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "action": "('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "action": "('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKcklEQVR4nO3d3Ytc9R3H8c887EQRLbFY8K4XvagpCNoHL4KIVSqWVrRQ/AsKicZUmphYBAtaaEt2sxvojf0D2ptSL3xAS0uVFlFbBYV6VUrpExWqUh/AuDNzenGOk7hVkzSb7Mx+Xy9ykZ1MlnOx7/md8/3Nme01TROghv5WHwBw/ggeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB42U9N83JdbTvCwaabT9HppmuzZkz17knRfzo/hVh8AbBNNk34/43EOHMhDDyXJhRfm/vuzc+dWH9lJes1cvf7AYmqa7s+BAzl2LINBptM0TV54IVdfnaZJr7fVh5jEKT2cvXbR7PVy8GCOHctolOk0o1F+8pNcddUc1R7Bw1lqe+718p3vZG0tO3bkvfcyHGZ1Nd/61nxdwEfwcDZmU7oDB7K2ltEox49naSmrq9m7N+Nx91owP1zDw/+pXdsnk9xzT1ZXMxxmPM5olLW17N3bvRbMVe0RPPx/2m6m0xw8mLW19Ptpmq72dkNuPjmlhzM2WyXvuSdra1laStN0Z/J79mQy2dKD+1iChzMzO1c/cCCrq9mxI+NxN6Xbuzfr6+nPcVVzfGgwf6bTrueDB7O62k3pBoOsruaOO7K+nuFw7q7bT+YaHk5XO6WbTnPoUFZWuindcJi1tdx555xO6TYQPJyW2ZSuncnPpnTtmfxcvbvmYzilh1M7eUrX7sC1U7qVlRM7cAtB8HAK02mS9Hpd7aNRJpMMBjl6NHfeOe9Tug0W50hhK7RTurb2lZXunbPtlK6tfbhQd5y6hoeP1NbeNDl0KMvL3ZSurf2uu7q/L8rJfEvw8OFmU7pDh3L0aPr97h649kx+UaZ0Gzilhw/R3tye5PDhHD2awaCbya+snNiBW0SCh43aKV2/3123t/e3DwZZXs6+fRmPF2lKt8HCHjicGx86pev3s7KSu+7K+noGg60+xLPgGh5OmL1z9tChHDmSpaVu1211Nfv3L+SUbgPBQ2c2pTt8OCsrGQwymWRpKUePZt++RZ3SbSB4SN6f0vV63Q5cuxs3HG6r2uMaHvL+2t7v5/DhLC9nNErTfGBKt20Inupmn0LZXrefPKXbv7+b0m2P5T2Cp7jZjvrhwzlypLu/fVZ7e/frtqk9ruGpbHZ/+7335siRbko3HHa1L8T97WdK8BQ1ey9dW/tsStfut29XTumpaDala2tv729vp3TtXTHbleApZzala2sfjbp3yy4vn5jSbVeCp5bZjvp3v5sf/SijUTeTX17Ot7+9AJ9CeZZcw1POdJr77ssPf9i9c7Y9k7/77u05pdvACk8h7aDuvfe6vbfxODt2ZGUld9/d/Xb37V17rPBU0/68tx9i89BDefDBbm1f3Dtez4jgKafN+9138/vf59pru0+kLELwVDQb3W2bu2JOU43zGPig9pe6z/NvfTxHrPBQiBUeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyHDrT4Atp3pNEl6vfR6W30obGSFZ5M0TcbjrK+n30+/nyTr6138zA3Bsxkmk/R6eeSR7N2bJ5/Mn/+cXi9LS135zI1e0zRbfQwsuOk0/X7eeitf/3qefjpJdu3K9dfni1/Mddfl059OkqbpXhT6faf6W8g1PGet10vTpNfL7bdnOMxvfpNXXskrryTJsWPZvz+TSQaDDN//YZutMco/76zwbKrXXstf/pLf/jY//3lefjk//Wm+9rU0Td54Iz/4QT7zmXzzm7n00hPPb3/8lH++CJ7N067zrXfeyeuv59JLc9FFSfLMM9m9O0l27sy11+b223PDDdm5M6PRR34HzgHBs6maJk3zgVld2/DTT+fgwfz97/nXv7rHL744X/1qbrklN92UT36ye3A6zWTSzfmVfw4InnNmtlzP/vLCC3niiTz7bF58Mf/8Z/e0X/0qN9zQ7eotLXUPTiZpmgwGst9cgue8mE67gFvPP58//CG//nX+85/87Ge57LIkee65rK7mqqty4435/Oe7Z7rI31SC5zyaTDKdZjjsAn7nnbz5Zj71qW677nvfywMPJMnll+ezn82Xv5zbbsvnPveB76D/syN4zrum6Rb8kzfqer388pf58Y/zu9/ljTe6xz/xiVxxRW69Nfv2dcO/Vvvf25cJzoTg2Tr/O+FL8u9/59FH84tf5KWX8te/JsnFF+fVV3PhhUny9ttZX8/Ond2T19fT67nUP32CZ1794x957LE88UR27cr3v5/xOMNhjhzJk0/mppvyhS/kyitPjPfbf+VUBM/82TDhO348o1E3xv/Sl/LSS0lywQXZvTvXXJPdu3P99d36z6kInnnVvv0+ObF0j8d56qk89lgefTR/+lP34CWXZNeu3Hxz7r/fSO+UBM98+9+Gp9O8+mr++Mc8/HAeeSR/+1uS3HxzHn886+sndvL5MIJnobR35s0cP56nnsrDD+crX8k3vtHdpcNHEzyLxs12Z8Fgk0WzofN2b88nap0eKzwU4o1KUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wVjIfl3dS5sWAAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTElEQVR4nO3c70+V9R/H8dd1zoGkMAIXRj9cWxgEzUURhkhlthzNWrk1/4a21q1u19bautEN19bfUHda3lCbtpxiSIoI0w0qMWe/nJLAQk7Bzo/re+O64gji9Jv8OJzX8zHm9FwXeLnxPJ/PeV8HgzAMBcBDYqUvAMDyIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJHUSl8AUFzCUPm88nlJSqUUBCt9QYsqCMNwpa8BWHlR52GoVEkvgmzp4SgM449ZQaBkUqmU/vlH3d3as0e7dqmnJz65ZJT0sxnwryja6NdEYv5GfXpap06pp0c9PRoZ0diYJieVzaq5WVu3rsDVLh229Chl0S49n1cyqcR129l0WlNTOndOx46pu1v9/ZqaUiYz/9Pb2nT4sCorFYYl8mKeFR6l5vqpW1mZJCWTkjQ+rkuX9MsvOnVK33+v3l5NTcWfEgRzng4k3Xef6uq0YYNyueW89iXHCo8SMbuYR5FHJib0ww86d07Dwxoc1OCgxsbiQ4mEUills/FTg6TKSjU2qqFBTU1qadFTT6mubrn/FUuN4LFazRu5zUqndfq0+vt19qx+/lnnz+vy5cLR8nLl88pm4z+mUmptVWurNm3Sxo2qr9fDDxdOzmZLbWhP8Fgd5k3d5pmZ0cmT6u3V8eO6cEGjo7p6tXA0COY8OySTam1VR4e2bNHjj2v9etXWFo7mcsrllEjEHyWG4FHUoo16GCqZnLOMT0/r7781NKTubh07psFBpdOanl74Ftpdd6miQhs36sUX1dmp1lZVVenuu+ecE6350QC/NOZzCyJ4FJ3ZqVsQzNlRT0xodFQXL+rECR0/rt5epdOFo4lE4dW4pKoq1dbqoYe0ebO2btWWLaqpWeAvmh2/l3Dk1yN4FLXxcY2MaGREQ0Pq79fAgMbH40PR1C2TKazqVVV67DHV1+vJJ/X002pt1fr1hS91s9f8VggeRefaNQ0MaHBQw8P66Sf9+KNGRwtH503d1qxRS4taWtTcrIYGNTTMn7rJYKN++wgeRSTaYPf1aedO/fln4fFoeDa7Y08k1Nam9nY995zq6/Xgg3rggcLJ0Z22Up263aHSuueAkrBhw5wZu6REQhUVamyMp24tLaqqUmXlnEU7k4nfPxO9JR4LYoVH0ZmZUVeX+vpUW6tHHlF7uzo71d6+wNQtmuFH23V27LeD4FF08nkdOaLJST3/vNatm3909huWwv8DgkdRi97KfuN73fHfEDyKUS63wJttcOcIHjDCPgkwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxhJrfQFoOTk85IUBAqClb4UzMcKj0UShspmlckokVAiIUmZTBw/igbBYzHkcgoC7dunt9/WoUO6cEFBoLKyuHwUjSAMw5W+Bqxy+bwSCV27ptdeU3e3JDU1ads2PfusXnhBjz4qSWEYPykkEmz1VxCv4XHHgkBhqCDQ7t1KpXTkiIaHNTwsSZ9+qnffVS6nZFKpf7/ZZtcYyl92rPBYVGNjunhR332nL7/U2bP6/HPt3Kkw1MSEPv5Y9fV66y3V1BTOj779KH+5EDwWT7TOR9JpjY+rpkb33CNJvb3q6JCk6mp1dmr3bm3frupqlZff9CtgCRA8FlUYKgznzOqihru79d57+v13Xb4cP752rV59Va+/rh07tG5d/GA+r1wunvNT/hIgeCyZ2eV69jenT+vgQZ04oYEBXboUn/btt9q+Pb6rV1YWP5jLKQyVTJL94iJ4LIt8Pg440ten/n4dPqy//tIXX+j++yXp5Ent2aOWFr38sp55Jj6TF/mLiuCxjHI55fNKpeKA02lNTqq2Nr5d98EH+vBDSaqrU2OjXnpJb76p5uY5X4H+7wzBY9mFYbzgX3+jLgj0zTf67DP19GhiIn68qkpPPKE33tA778TDv0j06dHTBP4fBI+Vc+OET9LVq9q/X199pTNn9OuvkrR2ra5cUUWFJE1NKZNRdXV8ciajIOCl/u0jeBSrP/7QgQM6eFBNTfroI2WzSqX0ySc6dEg7dqi1VZs2Fcb70VHcCsGj+Myb8M3MqLw8HuO3tenMGUlas0YdHdq8WR0d2rYtXv9xKwSPYhW9/V4qLN3ZrI4e1YED2r9f58/HD957r5qa1NWl999npHdLBI/idmPD+byuXNHQkPbu1b59+u03Serq0tdfK5Mp3MnHQggeq0r0k3mzZmZ09Kj27tUrr2jXrvindHBzBI/Vhh+2uwMMNrHazOs8urfH/6h1e1jhASO8UQkwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwPEUGRffvobCIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "action": "('move', [-3.22071168977747, -8.038849236156464, -31.725254430306308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cdc90ea303e55cee2d1c7c7c868a37369a01977e893311605a2940c6885e367b"} +{"episode": 85844, "episode_seed": 3345093089, "split": "train", "timestamp": "2025-09-16T00:21:00.699138", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3345093089, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "action": "('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALCElEQVR4nO3dXYicVx3H8d/s7oQaDBVbNSQBERPRGy1qiYoV62uwKpaq0dLgC4KQC61UE1Nbq02VWFIT1xcUtVK0WkQL9Y20abXNhdDQQhuLASPRQrTGRcUYa01m5vFiJputmjabNrs78/98Lpe9eJbd757znPM8Z1pN0wSoYWy+LwCYO4KHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEzxPWNPN9BZwswXOqmiZNk04nrdZ8XwonS/Cckm43rVZ27Mib3pSf/jSdjnF+KLQavydmq9dLq5XDh3Phhbnjjqxcmfvvz+LF831ZPD4jPLPUHyFarXznO7njjiTZsiWLFxvhh4IRnllqmrRaefDBvPzleeihvOMdufHGtNuDr7OwGeE5JZ/+dB56KEuXZsOGtNuDST4LnuCZjf4wvnNnvv3tjI9n/fq89KU5ejRj/pCGgyk9J63/p3LwYF71qvz2tzn33PzkJznrrCSCHxZ+T8xGq5V//CPPfnaaJldckWc8I72e2oeIEZ7Z6E/pp6aye3cuuMBC3dARPLM0Hbnah5DJGCdtz57cd19arfR6gyftGDaC5/E0TXq9/PnPefvb88pX5rbbMjbmvn1I+bVxEsbGsm1b9u1Lu50jRxJvyA0rwfOY+jfq996byckkee97c8EF5vPDy6Idj6kf/Pnn58478/znZ+fOrFiRbjfj4/N9ZZwKIzwn1h/Jv/KV3HlnWq189KNZsSKdjtqHlxGeE+g/UbN/f9asyb59eeMbs2PH4Jl58/mhZYTnBHq9JPnqV7NvXxYvzrXXJlH7sJuY7wtgoRofT9PkXe/KwYNZtSovfGEStQ87U3pOrD+r7x9fNT5u730ECJ4T6HQyYQI4avzP5n80TX7zm7ztbdm1K//6V3o9j9mMDCM8j9afxq9dm+9/P899bnbtyrJl3oEdGX6LzNDtZmwsP/xhfvCDtNv5wAeybFk6HbWPDCM8x/T/Eqam8rrX5Ve/yurV2bkzixdnbMzi/Mjwn5tj+s/VbduWX/86T3lKPvOZLFli433ECJ4kSbebiYncfXeuvz7dbt7znrz2tW7dR48pPcfekPnLX7J2bX7xiyxfnt27s3SpM21Gj41Wjt29P/xwjh5Nr5fNm9U+qozwzPj0qKmp3HZb3vKWLFky+AqjRfDl/e+hlMb20WVJprZ+23v35sABp1NWIPjCmibdbv75z6xblxe/OLfcYk1+5Fm0K6zXy8REvvCF7NmTTid/+tN8XxCnnXv4qvrn0u3dmze8IQcO5MILc/PN7t5HnilcSU2TsbH8+9+59tocOJAzz8yWLWqvQPAl9Y+mu+eefPe7SXLFFXne8+b7mpgLpvQlTQ/m11+fn/0sX/tanv70xMb76BM8Nt4LsUpfW7ebxDnzdRjhoRCLdlCI4KEQwcNxTZNOZ/ChOyPJPTz8H6N62M8o/kwwe/1R/YYbsm5d9u8f1D56o6ERHgZPHv7xj3n967N3b1asyIYNWb9+sF85SqP9qPwc8AT0DwG47rrs3ZtFi3LgQD70obzmNbn77iTHP19vBAgeMjGRpsl552X16hw5MvjKrl15xSuyaVMefHDwDf3HlIaaKT0kxx4vPnQok5P50pdy8GDa7cHAfs45ueyyXHJJMvwfsSl4GOgfEZDk3nuzdWtuuilJFi0ajPkXXZQrr8yLXpQM88sHgofjer3BOUCPPJIf/zgbN+Z3v0uS8fF0u3nWs7J+fTZtSrs9+OahW8wTPPy36aH+b3/L1VfnG9/I4cOZmEinkyTnnJOtW3P++YPFvPHxYRrtBQ//x/RR/Ul27conP5m77kpmzPDXr8+ll2bVqmTGP4iFT/DwWPoxd7uDxbz9+wdtd7t5znOycWPe974sWjQ0i3mCh8fR7Q4+MvuBBzI5ma9/PUna7Rw9miRr1uTyy3PeeckwLOYJHh5f/6Wadju9Xm69NZs25f7702plfDydTs4+O+vW5aqrcuaZycJezBM8nKzpe/VDh7JtWz7/+Rw6dHwxb9WqbNmSt741ExODJ/MXYPaCh1mYuZi3Z082bcqtt6bbPT7Df/e7c+WVecELkuTo0cEG3sIheDgV07fr3/xmtm/PAw8cn+GfdVYuvzzvf3+e9rQFt28neDhFTTP4RI/9+/PlL2dyMp3O8X27V786l12WN7958J0LpHnBwxMyPW+/665cddVgu74/w1+yJO98Z665JkuXJgsje8HDEzW9b3f4cL71rXzqU/nrXwdtN02WL8/mzVm3bvDKXX9SMF8ED0+CmSX//vfZuDE/+lEeeeRR2/XXXJOXvCSZ11fuBA9Pmplr+DfdlOuuyz33JBls3Z1xRjZsyAc/mGXLBkduzP1QL3h4kvWPypiYyNRUvvjFTE7m738/vl2/enU+8pGsXZvMx0P4gofTYnrevnt3PvvZ3HJLcuzdm3Y7F12Uq68evHszl4t5gofTpddL02R8PA8/nJtvzsc/nj/8Ia1WWq30ennmM/Oxj+XSS+f0fl7wcHpNz9unpvKJT+R733vU2/Uve1m2bs2556bdnotxXvBw2s2ctO/Ykc2b88tfJjPert++PR/+8Fzc0i+8p/th5EzX3u1mzZrcfns+97ksX54jR7JoUZ761Jx99lxdiREe5tL0MH7ffdm+PTfckIsvzo03ztGKveBhrk3v2x05kp//PCtXZuXKOXqLXvAwP2YO6XO2Myd4mDczn8ybG8Nw7h6MqLl/ec4qPRQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+F/AddpjeGp1Qk6QAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "action": "('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALCElEQVR4nO3df2hV9R/H8de5P4QtRpRGNocVlcT+KIJ+GdIwpUITEzSj1ZJ+gv9IYlmgiVQmhpgZkRmynGm/I2glrqEIEomKPyDBhf1AsrkkwpXMe8893z/O2Vp8sTZ3t3tvr+fjz6nz4N3zvs/53M85BlEUCYCHVKkPAMDIIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMFjyKKo1EeAgSJ4nK8oUhQpn1cQlPpQMFAEj/MShgoCbdumadPU2qp8njlfEYKI1wmDVSgoCNTdrVmz1N6uq6/WwYOqri71YeHfMeExSPGECAJt3qz2dklauVLV1Uz4isCExyBFkYJAP/6oiRN14oTmzNG77yqbTb6O8saEx3lZvlwnTmjsWD3zjLLZ5CQfZY/gMRjxGG9rU0uL0mnNn68bb1QupxQ/SJWBU3oMWPyj0tmp22/Xd9/pppv0+ecaPVoSwVcKXicMRhDo9GldfrmiSEuW6JJLVChQewVhwmMw4lP6ri7t2aPp01moqzgEj0Hqi5zaKxAnYxiwQ4d04ICCQIVCstMOlYbg8W+iSIWCTp7U7NmaNEnbtyuV4rq9QvGyYQBSKa1Zo44OZbM6e1biDrlKRfD4R/GF+r59eu01SZo3T9Oncz5fuVi0wz+Kg588WTt36tpr1damujqFodLpUh8ZzgcTHucWT/I33tDOnQoCLVqkujrl89ReuZjwOId4R82xY7r7bnV06K67tG1bsmee8/mKxYTHORQKkvTmm+roUHW1Vq2SVG61x8eIgcuU+gBQrtJpRZHuv1+dnbrmGl13naTyqT1eW+DDwcHilB7nFp/Vx4+vSqfLIa++p29ICkMdOKD6elVVsetvoEr/EqJM5fNJ4ZmMstlyqD1eQwwChaF27FBDg6ZM0ZEjpT6silL6VxFlJ4p09KjuvVe7dunMGRUKJd9mE4bJhwNRpL17NXeu7rhDu3fr99/1/PM6c4bxPlCc0uPv4tP4uXP1wQe66irt2qXa2hLeAxs/CDublaS9e7Vpk15/XVGkTEaFggoFjR6t/fs1fjxn9QPCoh36iXfUfPyxPvpI2awee0y1tcrnlSnNz0n8PpPN6uhRvf22mpvV1ZUsJuRySqf16KN65BGNGyeV0XpiWWPCo1f8k9DVpalTdfiwbrlFbW2qrlYqNcIx9V+ZO31aq1dryxZ1dEhSNqtcTpJmz9b8+Zo8eSSP67+ACY9eYahMRmvW6NtvVVWll15STc0IP50yvjEv3sjX06PmZq1enaSeySifVy6nW2/VsmVqaEgW5+OjxgDxTwVJvbV/8402blQY6uGHNWXKCF+6x5cO6bS6u9XermXLdPCg1Jt6Pq/6ej39tB58MCk8DJVKUfvgcEqP3l0sp05p7lzt2KFx47Rnj8aOHbF1sPiBGvHTrtvatHatvvxS6k1dUn29Ghv11FOqqkqOV1y0nxfeHtEb0J9/KpdToaAXXhix2vvOyVMptberuVmbN0tSNpt8FFdXp3nz9PjjGj8++f1ltru3wjDh0W9idnVp+3bNmKGamuQrw/l39n37w4f16qv69FP99pvSaQWB8nmNGqUFC9TYqOuvl6RcTpkMqQ8Vwdv7/4dSDvNs73/H3cmTWrFC77+vX36RpFQquR+mqUkLFyapx1v+ymCn338Bp/Te4raPHFFNjerqkk11w3a7e/9F9VOn9M47WrVKnZ2SlE4nl/GTJmn5ck2cmBTOInxxMeGNxf319KihQT/9pA0bNHPm8D3Npm//zq+/qrVVK1bo6FGp30frt92mBQt0331/HZ1YmSs23jyNFQrKZLR2rQ4dUj6fnFUPg77BHob68EOtX6+dO6Xe1HM53XxzsjIXb5iNT/hJfTgw4V3Fk/zIEd15p44f16xZ+uSTol+995/Sn32mDRvU2ipJo0Ypl1MU6cortWCB5sxRbe3fdt1gmDDhLUWRUin19GjVKh0/rgsv1MqVxa093rMTf799+/Tii/rqK3V3K51WoaCzZ1VTo8WL1dioK66QehfhqX24EbyleJLu3astWyRpyRJNmFCse2D7L/wdO6aXX9bWrfrjj+RXw1AXXKCHHtLixUnq8V3u8f1wGG6c0lvqG+YbN+qLL7R+vS6+WBrqEln/W1m//14tLXrlFXV3J6M+DFVTo6lTtXSpbrgh+SP837MjjOBRnA/e453tQaCff9Z772ndOv3wg1IppdPJIvw99+iJJzRjRvIXihX4UiB4b2EoaeiXzvEKYC6nt97Spk3as0fq93nb5Ml68knNnq10OnlwDamXCsGjOLZu1bp1+vprqV/qEyZoyRJNm6bRoyWV8FEaSBA8zl98KbB/vxYt0u7dOns22TAn6dJL9dxzamrSRRdJYrCXC95vMVRnzmjHjr92wl52mR54QM8+qzFjJCmKkkfQoRww4VEETU1qadGYMZo5UwsXqr4++ToPliw3vPFiSOJ5sXSpslk1NamhQdJf+/Gpvdww4VFM3Mpa5pjwKIJ4anAra/ljwqM4uFyvCJx7oTiovSIQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wN3KvR/e8TROwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "action": "('move', [-53.72846320992752, 21.745830490373944, 30.15759130650785])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dbbd4859a1825e0a60e00ce3979376abc4bfd7268e9309865bb97c2f5ee32080"} +{"episode": 85845, "episode_seed": 956968133, "split": "train", "timestamp": "2025-09-16T00:21:01.308378", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 956968133, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "action": "('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "action": "('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "action": "('move', [20.536109701715556, -33.97094563583283, -56.00241529634775])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKY0lEQVR4nO3dy28V5R/H8c/MaVNosYLIotS00aSFirW4aNyoGFIWxCIxJmo0sKuRGKIu/TMqxoWuTEzxgoAmlUjiJWKItyAUrTbUG0UhJBgs1dr2zDy/xcyvpQJFo5wD83m/0gUcbnMa3v3OPH3mnCiEIAAe4mofAIDKIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwcFcuK02rfRCVEoUQqn0MQNWEoCiSpJkZlUqKiz4Bi/78gAVFkXbv1rFjqq0tfu1iwsNWNtuHh7VmjW69VRs2aNs2tbcrhCKXX9xnBiwou27v71eppOFh9fdrdFRRVPDr+ZpqHwBQBWmqONaJE9q3L/9xT4/uvluSSqVqH9yVxISHoyRRFOnllzU2pihSHGvTJjU2amYmX8MrKoKHnTRVqaSzZ7V3b/7T9nY9+GD+eLERPOxk5/BvvaWjRxXHimNt3KimpvzxYiv68wPmC0GlkiYmtHevpqYUgq67Ttu3548XHsHDS5oqinTokN55R6WSQtCmTWptlVTwq/cMwcNLqaQ01c6dmp7Ol+ueeko+m1HYeAMj2X/2775Td7fGxyVp/Xrt328x2zNMeHiJIr32ms6eVRwrTbV9u6KICQ8U1O+/q61Np04pBHV16f33dcMNFuvzGY9nCfx/L+3AgE6ezBfk+/q0bJmSxKV2ETysJIleeEFRpCRRW5s2bDC6es8QPCyUy/lmm5ERhaAQ1Nur9nav8S5unoGD7E7YNNUrr2hyUlGk5cv18MNzv+TD6YsbXCWJSiV99pk++kiSQtC6deruVpKoxmzkETwKbnaGv/qqzpxRFKm+Xlu2KI6Nvhs3i+BRcNk9cCMjGhzMy1+9WvffrzS1G+8ieBRedvW+f79GR/PN808+6XXdfj423qDIsh01Z87o3nv19deStHKlRkbU0FDtI6sSJjyKLJvkBw7oq6/mxntDg+PVe4bgUWTZ+fyOHfnO+aVL9dBDvrWL4FFg2Qabzz/XBx/kwT/2mG65RVHkew1P8CiyKFJ/f15+XZ0eeSTfV2uL4FFM2a0yP/ygwUHFsZJEvb1au7bg7zNxWcZPHYWWvZTVjh06d06SFi3S5s1askTlsu/5vNhLj0LKNtv88ov27cvP5zs7tXmzxQtRL4wJjwLK3mdi1y4dO5afwD/wgBob7e6NuxATHkWT7ZkdH9fu3fn6XEuLtm51eSHqhXl/uUMRZVfv772ngwcVx4oi3XefmpuNXsdqAfafABROqaTJSe3apZkZSaqr09NPS6J2ieBRMNl4//Zbvf22amqUptq4Ue3tksf7TFwWwaNQsjE+MKCJibzwZ57JF+oh7pZDkWT/l0+f1qpVOndOIeieezQ4mN8tw4QXEx4Fk73r+2+/5S9o09dH7fMQPAplclIvvSRJ5bLWrNH69ZI4n59D8CiIbLnuzTf1/ff5lfyjj6qpic028/CZQBHMLsu9+KLSVCGopUW9vdU+rKsPwaMIsheifvddHTkiSSGop0ednSqX2V03D8GjOF5/Pb837vrrtXUrC3UXQfC45mXvJ/HxxxoYyDfMd3dr3TrH95m4LILHNS97g/cVK7Rli+rrlSR6/HFW5i+OjTcolEOHdPCg+vpUV1ftQ7kqETwKgpvh/g4+QyiIbGtd9lJ2TLFLYcIDRpjwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeqJ4QKvwP1lT43wN8/SXvKFIUVfgQmPDAFRDCRaZ3Vvjsh6TTpys85JnwwH8hKzz7iCKVSvN+NU01NaWpKZ06paEhDQ3p6FF9+aWmpzU6qiVLKnaYBA/8O+WyQlBt7bzz8z//VLmshob8wT179PzzGhnRyZPz/mwca2xMHR35l4krj+CBvy1NFYLSVHE8N8NraiRpelo//5x/HD+uI0fU2qpnn82n908/6cMPJWnRIt10k5qb1dysm2/W6tVasUJSxS7mo1DxdULgmjFbRwiKL7HgtXOnDhzQiRMaG9Px4/r11/zxZcv06adqa5Okw4c1MKC2Nq1cqdZWtbSosfHKH/1FMOGBS5sdvFGkJNE332h4WJ98orY2bdumclk1NdqzR2+8MfdHFi/W7bero0N33KEbb5SkENTVpbVr5/3N5fLcmUIF1+oJHri0oSF98UW+wDY6qvFx/fGHkkTd3XriiTzUnh79+KPuvFOdnerqUkuL6utVX6/a2vwvyX5bmipJ5pboa6qTHqf0wAWyxfY0VXe3Dh+ee7y2VsuXa+lS3XWXnntOixf/g8W2Si3LLYwJD1wgilQuq7ZWt92miQm1tqqpSatWqaMj/zj/VP98s+PzwravgtrFhAcuLhvIo6OamVF7+7zvq2fD/y/fab9GEDxwOSFoZia/9o7jqmyJ/a8QPHBp2Tfes8gLgeABI9w8AxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gdYTHXXrNGIMwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "73cac66eab4d0ee8bc98b041a9cbd5766651688c014f9535418e084d2c09d745"} +{"episode": 85846, "episode_seed": 1196746918, "split": "train", "timestamp": "2025-09-16T00:21:01.918039", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1196746918, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "action": "('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALD0lEQVR4nO3dX4gVZQPH8d/MOWfThWTVIK0Iu1AvShPDzRBTkyKLKJKK8k6ChP5pauWfEqUUCSLDqAiCMEWhVi+koMgMMYjsrwWp665RtiRZpFDr7pmZ92LGXV94397ePOfM7Pl9P3f+uXg46/c8zzzzzBgkSSIAHsK8BwCgcQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwLuJYSZL3IJC3ct4DQN0lieJYpVLe40ABMMM3uShSEKhU0qFD+vVX5nl3BN/MqlWVSqpW9dJLuvFGbdyoMFQc5z0s5CdI+MJvRkmiJFEY6uBBPf20du2SpJEj9dZbuuEGRRErfFPM8M0mTT0IFIbavFnz5mnXLpXLCkP99ps6OiQpCFjYm2LTrqkMTN1Hj2rJEu3erSRRpaL+fl14oZ58Uo88ojhWECgI8h4r8sCSvkkkiapVVSrq7dW2bXr8cZ08qVJJUSRJM2bo+efV3p73KJE3gm8G6T5cesW+fr22b5eklhb19WnUKD30kFatUktLttSHM4If8uJYYShJL7+s555Td7cqFVWrShLNmaM1azRr1uAeHswR/BA2MGN3dWnZMu3cKSm7Yq9UtGaNFi3S6NHq71e5zNwOieCHqIEZO471xhtatUo9PSqXVa1K0rRp2rw5u2KvVlVmZxZnscgbetJ9uDBUZ6fuu08LF6qnRy0tqlbV1qaVK7Vvn9rbsy8Fase5mOGHmHTGjmNt2aLVq/Xjj4NX7DNmaO1azZ0rif05/GcEP5Skt9kPH9a6ddq6VVK2jB82TEuXatkytbWxhsdfIfghIP0RpTP2669rwwZ1dqpcVpIoijR9ujZs0OzZkjgzi/+B4Itu4K7b8eNaulQdHervz+6xt7Ro+XItXaqRI7On4rjxhr9G8MWVTuDpor2jQ4sXq6dn8HG3KVP0wguaNUsSp2XxdzEjFFT64Hq5rM5OLVqke+7JtuLjWCNG6LHHtH9/Vnt6f47a8XcwwxfRwDL+zTf1zDM6dCjbmY9jXXednnpK8+b9218D/iaCL5aB/bnjx7VihbZuVRxnV+xBkD3uNmZM9mYLZnX8vwi+KM497r5jh1asUHf34BX7pEnatElz5kjKTs4C/wArwkIYODzX06OFC7Vggbq7syv24cO1eLH2789qj2Nqxz/HDJ+/gaMyHR1avlxdXYNX7FOm6NlndcstElvxqAWCz9PAjbfubm3cqFdflc553O3BB7VqlS66iOM0qBmCz83Acfft27V+vQ4ezKqOIk2dqnXrdOut2S+pHbVC8Hn65Rc98YS2bVNvb7YVL2nJEi1frrFjOTyH2iP4fESR3n1Xjz6qrq5snk8STZigTZt0882SuPGGumD6aLT0C3blSt12m7q6slfNDR+uBx7QJ59ktccx76hBXfAgZaOll+4jRkhSuay+Pk2ZotWrNX/+4J+yjEedsKTPzdy52rNHDz+sZct0+eWKIo7Eo+4IPh9JomPHdOCA7rpL4vAcGoXg83HuK6h4BgYNQ/C5GfjgWcajYdi0yw2do/FYSgJGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkXLeAwD+uyRRFCkIFIYKgrxH0wyCJEnyHgOABmGGRyEliYJAp05p/36NHq2rrlJra95jagZcw6OQ4liSPvtMd96p22/X4cOSxGr0vBE8CimKJOnzz9Xfr9OnNW6cJC7jzx/Bo3iSRKWSJH39teJYM2eqrS3nITULgkfxpMH39KizU6WSZs/Oe0DNg007FE8cKwz16af6+GNJmjVLOruNh/ND8CieMJSkK67Q/ffr2DFNmCBxAV8b3IdHsZ08qba27JIe543gUWAs42uNTTsU0pkzOnWK2muO4FFIO3bojju0ZYt6e/MeSlMheBRPf7/eeUcffqi331YcK0k4Y1crBI8iScP+80/t26cw1Ny5am3NHphDLRA8iue77/TTT2pt1fjxeQ+l2RA8CiZJtHevJI0fr0mTpLO35VELfJQomCDQBx9I0sSJuvRS1vO1RfAokiDQH3/oyy8l6eqrJRF8bRE8CiN9Bv6993TihFpbde21kjhjV1ucpUfBjBunBQv0+++65hqJC/ga42gtiiQ9S1utqr9fw4fnPZomRPAonihiJV8nrJdQJKdPq6+P2uuH4FEM1aokvfKK5s/Xiy9KvLKyLggeBZAkCkP19en997V7t/bsyXtATYvgUQDpO62OHFF3t0ol3X133gNqWgSPAkhX799+q6NHJWn69HyH08QIHgWQnqX75hsliSZP1sUX5z2gpkXwyFscq1TS6dPZidrrr8/uwHOitg4IHnlL1/M//KADByRp5kyFIVv0dULwyFs6kx89qp4eDRumiRMl7snVC2fpkbc0+LFjddNNGjVKY8YM/iZqjaO1KIBzX0fNq6nriRkeBZA+MJP+l3I8HldPBI8CiCKV+afYCHybogDWrtXkyXrtNUm8lLquCB4FsHOnDh7UF19IUrXKNXz9EDzy9v33OnJElYra2/MeSvMjeOQnfYnd3r06c0ZjxmjaNIl3WtUXHy7ykwb/0UeSdNllmjBBUUTwdcWHi5ykz8AnSXaidupUVSqKYy7g64rgkZM0+K++0okTKpU0c6bEer7u+HyRkyiSpD179PPPqlQIvjE47YCcpG1feaXuvVflsi65hEO1DcBZehRAb68uuIDaG4DgkasoUpJwrrZhCB4FwGK+UdgjQQFQe6MQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIvCUzoeyarcd4AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "action": "('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "action": "('move', [1.6031101014644304, -3.9164037028552983, 13.920406021289901])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIPUlEQVR4nO3dX68dVR3H4d/MPlsiBQ0BIakWC0Lljw2GtlgM0lrkJRh9G/r2kJNqgSYt0PCnBZv0iJWmSKSmrQmU7j3LizneeuPezPZ8n+fyXK2snE9mzayZtbvWWgEZ+qkHAHxzBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM9Ga61am3oQe8jW1AOA/6brph7B3uIKzyYar+q3btXVq3X7tov8ygieTbRYVFW99lodOlRHj9bvf1eXL1dVDcO04/q/Z0nPJhov6e+80+7c6S5frmvX6je/nXpMe4IrPBuntZrP686dunixq6quqx89Nhw7VsNQvX/Y/435Y+MMQ3Vd7ezUpUutqlqr555rs5n1/ApY0rNxxvX8xx8td3aq62dd1alfzapc3lfAFLJxxrA/vDgbhlnX1T3faidPVtmiWwXBs1laq76v27fr3LmqqmFZj/9wOHiwSvCrIHg2y7ie/+yzeuutNhZ+6tXePvyqCJ7NMka+s1M3bnTzeVXVqVe6rvPuzWoIns0yBv/mm9V1NQy1tVVHj049pj1E8Gycr76q7ddba7VY1PHj9cADUw9oDxE8G2Rct9+40c6fG7Zm1XV14kTde2+VJ3YrIng2zvnz3deLWTer1oYXf9bGtT0rIXg2zvZ2q6rF3freQ/XY41Xlid3KCJ4NMq7bt19bVlVrdeyF/vsHuvKO3eqYSDbFeBn/5JP666dbY/lHjtR3v1PLpRv4lRE8m2IM/o+n68svq6q2ZsPhZ5blG/iVEjybYrmsqjq9vVwsWmt18GD/zOFZVc1mEw9sLxE8m2I2q7t3670P+qquqp48VE88sfupLKsieDbCcll9Xxcv1md/H/senn1qec89tVgIfpUEz0YYhmqtzp6tzz+vqtq3r3/heF+ez6+a6WRTdF29/fbunfzDD9fxn9uQWz3TyfSGoebzunlz92jaqnr00TrwAxtyqyd4pjduvH34fvv4o1ZVXVcvvrj7mzOCXy1n2jG9cQf+0kftH190fV/zeZ04UV1nPb96ZpSJtVZbW1VV773fV3XDUPvubS+9VOUGfg3MKBMb1+3Xr9f5c7ufyDz/0+G++3wwsxaCZ2Jj2Nc+bR+8P/R9dV2detW7desieCY2Ppa7dKn78k4/n1dr9corU49p7xI8UxoPpV4s6k9nqqr7+ut6+KHloUNW8+sieKb3r9vtzOndb+BfPtHv27f7k3KsnOCZ3qfXustX+vFQ6pO/3D2dmnUQPFMaL+NnzlRV11rNZu3YsSrfwK+N4Jne9nZV1WJRTz7Z7d9fZT2/NoJnYotFvfHG7q9KHT9ejzwy9YD2NMEzmXEH/sKF+uKLru+rqh090uZz38yskXfpmcwY/Ot/aItF11rt+3Z7+qkab+ZZE1d4JjMeX3V6exgLf/on/VPPOPRivUwt02itZrO6ebP+fGX3Rdqnf9z2798964o1MbVMY7y8nz1b/7wx/qE9d7jVf86uZU0EzzTGsM++ubx1q1XVgw92R1/oy6HUayZ4JjC+Qt9aXXivb62rqgMH6vkjVW7g18zsMoHx0IurV2vnL+P+W3vi8eX999fduzbk1su2HBMYn8y9+2797WqNb87/4uW+vGC3foJnAmPY16/XrVtVVfN5d+JklfX8+gmeCYxP5n796zp8uC5cqCtX6tlnd2/sWauuea2JqS0Wu+dYsm6CZzKt1TDUeI4d3wzBQxD3TBBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDk35jwjLjRPUwIAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3f3698331ea2f50cf92a33ec09542206e658e4463134e6a99b96dc056dbae868"} +{"episode": 85847, "episode_seed": 982715740, "split": "train", "timestamp": "2025-09-16T00:21:02.860050", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 982715740, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "action": "('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "action": "('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "action": "('move', [-126.69491374007102, -13.094976507372566, 45.12465181311268])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8358fdb291b9f7a92e7b41b9ee46e2049f5ef4241f297802a5de7ec8abca36c6"} +{"episode": 85848, "episode_seed": 744335730, "split": "train", "timestamp": "2025-09-16T00:21:03.472248", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 744335730, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "action": "('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "action": "('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "action": "('move', [4.775400451274165, 19.527591568639924, 40.23685102549948])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b27fb0d0e18229035f7c7512401ad29323aa056175c27594f3c767080de1438a"} +{"episode": 85849, "episode_seed": 1979548275, "split": "train", "timestamp": "2025-09-16T00:21:04.079170", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1979548275, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "action": "('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "action": "('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "action": "('move', [7.101330031292508, 0.46455927141855335, 28.504637019623413])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a5310b7ab45ff772c94efbfa618e44bc595d6ed5dd0c550a506502efb5b0df41"} +{"episode": 85850, "episode_seed": 394109944, "split": "train", "timestamp": "2025-09-16T00:21:05.023372", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 394109944, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "action": "('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALfElEQVR4nO3dXYhU9R/H8c887Ia2pMYmiYqiIkWYZZgimaiBq2Z/wVRKNklSSi0ly8gLNV29MHtAw24StNgyjC7UNA3K0LIH7MZK1qjVykVJiVCq3Zlzzv/iDFZ37jZzzmyf9+uim24Op33P7zu/3zlTJooiAfCQTfsCACSH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4NHNRJGiKO2L6LYIHt1JFCmTUSajIEj7Urongke3Edd+4YIuXVIupzBM+4K6IYJHtxGGKhQ0f77mzNHx48ryx9t53DN0D8Wicjlt366DB/X++5oyRbt3S2K27xyCRzcQBMrldOKEmpoUBKqtVRiqR4+0L6sbInhUuyhSNqsg0MaNOntWNTXq6NDSpbr33tIHAa5eJuKIA9Utrnr7dj3yiPJ5FYsaPVpHj6q2trSNh6tH8Khq8Z/n999r0iT9/LNyOeXzOnxYY8ZQe1cw0qPaZTJ69ln99JNyORWLeuYZau86VnhUr7jq11/X/PmlYX7cOB08qJ49S4/foLMIHlUqDJXN6swZjRunc+cURerRQ/v3a8IE9uq6jpEe1SiKFAQKAq1YobY25fOS9OSTmjChdCCPriF4VKMgUE2NduzQnj3KZtXRobFj9cQTpWUfXcZIj6oTV93aqnvuUWurcjnV1Oi99zRxoorF0mqPruHTEtUlXoD+/FNr1+qHH5TNqljU4sWaOFFhSO3/Fis8qku8M797t+bNUyajjg6NGKFjx9SjBzvzZUDwqCJx7W1tuvNOnT2rfF5RpI8+0vjxHLyXByM9qkj8ivvTT5eemS8WtXKlxo9XGFJ7ebDCo1rEe3W7dumBB5TLKQh02206dEj19ZIIvjwIHlUhCJTJ6MwZTZ6s1lbl86qr065dmjKFx2zKiZEe6Yu/n2ezamrS6dOlYb6xUZMnq1Dg4L2cWOGRvvh0/e23SzvzQaBbbtHRo+rViydtyox7iZSFoXI5/fij1q8v/V5VPq9Nm6i9IridqAobNuibb0rD/KOPaurU0g/doLwY6ZGm+Nv73r26777SzvzNN+uTT9S7t8TOfAUQPFIT137xokaP1unTpbz37dPUqQzzlcJNRWrib+wrV6q1VTU1CkMtWaKGBmqvIFZ4pCM+XX/nHTU2qqNDYaiRI7VnjwYOLG3joRIIHimI1/Dz5zVpkk6eVD5fesZu5kxegK0sJickLf7fv3Z0aN06ffutslkVCmps1MyZvABbcazwSFq8vB84oDlz1N6uQkFDhujYMdXX8wJsxbHCI1Hx6fqFC1qxQpcvl16Pe/ll9e1L7UkgeCQqHijXr9fJk6qpURBo0SLNmMELsAlhpEdy4mH+4EE1NJQesxk6VEeOqF8/ft8iIeyQICHxXt0vv2j5cknKZnXNNdq0Sf36cfCeHG4zEhJFyuXU1KSWFuXzKhQ0d66mTVOxyNqeHEZ6JKFQKP3U9KxZKhYVhho2TB9+qAEDWN4TxZ1GxcWn6+fOad06tbdLUjarNWs0YICKRWpPFDcbSchk9OKL+uIL1dYqCDR3rubNUxDwmE3SGOlRWfH2+wcf6H//U3u7okj9++vLL3XjjezMp4AVHpWVySiKtGWL/vhD2ayiSC+8QO2pIXhUVjxBbtyoxkYVi5o/X/ffT+2pYaRHQgoF7d2rkSM1dCjBp4bgkQTO3qoE/xGQhLh2FpfUETySwxifOoIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgq0kUqVhUFKV9HfjPykT8eVWJKFImk/ZF4D+OFb46xLW3tGjBArW0SFIYpn1N+A/Kp30B9uIJK5PR55/roYd06pTOn1dzs3r1Ys1H2bHCpyoMlckok9G772r6dJ06pbo6TZ+u666TRO0oO4JPTxgqm1UQ6KWX9OCDunhR/furuVmLF5c+BYByY6RPSRQpm9WlS1q1Sq+8IkmjRmnbNo0ZoyBQLpf29eG/iV36NMT3vL1djz+u116TpBkztHWrBg1Ssag8n8KoFEb6ZF3Zoosi1dTo7ruVyeixx9TcrEGDFATUjopihU/QlS26v/v6aw0erLo6JnkkgOCTEoaKIuVy2rpVQaDly//xbzmBQyIYIBNxpee1a7Vhg4pFDRyoWbP+mvCpHYkg+MqLa//9dy1Zoh07JGnCBA0ZInHSjqQRfOVlMmpr08MP69AhSZo9W9u2qb6eMR7JY5e+koJAQaCvvtK0aTp0SNmsli1Tc7Pq6xUE1I7ksWlXMfGu+4kTamhQW5vq6rRmjZ56SmKLDqlhpK+AKCot4GGoG27QqFHK57V5s2bPLqVO7UgJK3y5/X31jp+WP31aFy/qjjs4aUfq+A5fVvGjNb/9pgULdPy4slmFoQYPpnZUCVb4MokihaFyOX33nRYt0uHDuukmffqp+vRREEiidlQDvsOXQ/ylPZ/XkSNauFAtLaqt1fTp6t1bInVUEUb6cogi5fN66y3NnKmWFl1/vbZs0ebNbM6h2rDC/2vxm+2bN2vVKhUKGjxYr76qhgYFgbJZmkdVIfh/J96KW71a69dL0u23a8cO3XqrikXlctSOakPwXRUfucXuukt9+mjUKL35pvr25bV2VC126bskXtjjI/f4n599phEjdO21//ggAKoMwXfSleO3Awf08cdqavrH6M4zs6huTJ6dEX845nLauVNLl+ryZfXsqdWr//rGTu2obgyfV+3KY/DPPaeFC3X5soYN09ixEr9ggW6Dkf7qxLX/+quWLdMbb0jS2LHauVPDh6d9ZUAnsMJ3xvnz2r9fkubM0b59Gj689Ngs0E2wwl+1ePt9zx4dPqznn1cux/sw6HYIHjDCSN9JYahiMe2LALqIFR4wwgoPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMj/AWxKLdrxsZ46AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "action": "('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALfElEQVR4nO3dXYhU9R/H8c887Ia2pMYmiYqiIkWYZZgimaiBq2Z/wVRKNklSSi0ly8gLNV29MHtAw24StNgyjC7UNA3K0LIH7MZK1qjVykVJiVCq3Zlzzv/iDFZ37jZzzmyf9+uim24Op33P7zu/3zlTJooiAfCQTfsCACSH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4NHNRJGiKO2L6LYIHt1JFCmTUSajIEj7Urongke3Edd+4YIuXVIupzBM+4K6IYJHtxGGKhQ0f77mzNHx48ryx9t53DN0D8Wicjlt366DB/X++5oyRbt3S2K27xyCRzcQBMrldOKEmpoUBKqtVRiqR4+0L6sbInhUuyhSNqsg0MaNOntWNTXq6NDSpbr33tIHAa5eJuKIA9Utrnr7dj3yiPJ5FYsaPVpHj6q2trSNh6tH8Khq8Z/n999r0iT9/LNyOeXzOnxYY8ZQe1cw0qPaZTJ69ln99JNyORWLeuYZau86VnhUr7jq11/X/PmlYX7cOB08qJ49S4/foLMIHlUqDJXN6swZjRunc+cURerRQ/v3a8IE9uq6jpEe1SiKFAQKAq1YobY25fOS9OSTmjChdCCPriF4VKMgUE2NduzQnj3KZtXRobFj9cQTpWUfXcZIj6oTV93aqnvuUWurcjnV1Oi99zRxoorF0mqPruHTEtUlXoD+/FNr1+qHH5TNqljU4sWaOFFhSO3/Fis8qku8M797t+bNUyajjg6NGKFjx9SjBzvzZUDwqCJx7W1tuvNOnT2rfF5RpI8+0vjxHLyXByM9qkj8ivvTT5eemS8WtXKlxo9XGFJ7ebDCo1rEe3W7dumBB5TLKQh02206dEj19ZIIvjwIHlUhCJTJ6MwZTZ6s1lbl86qr065dmjKFx2zKiZEe6Yu/n2ezamrS6dOlYb6xUZMnq1Dg4L2cWOGRvvh0/e23SzvzQaBbbtHRo+rViydtyox7iZSFoXI5/fij1q8v/V5VPq9Nm6i9IridqAobNuibb0rD/KOPaurU0g/doLwY6ZGm+Nv73r26777SzvzNN+uTT9S7t8TOfAUQPFIT137xokaP1unTpbz37dPUqQzzlcJNRWrib+wrV6q1VTU1CkMtWaKGBmqvIFZ4pCM+XX/nHTU2qqNDYaiRI7VnjwYOLG3joRIIHimI1/Dz5zVpkk6eVD5fesZu5kxegK0sJickLf7fv3Z0aN06ffutslkVCmps1MyZvABbcazwSFq8vB84oDlz1N6uQkFDhujYMdXX8wJsxbHCI1Hx6fqFC1qxQpcvl16Pe/ll9e1L7UkgeCQqHijXr9fJk6qpURBo0SLNmMELsAlhpEdy4mH+4EE1NJQesxk6VEeOqF8/ft8iIeyQICHxXt0vv2j5cknKZnXNNdq0Sf36cfCeHG4zEhJFyuXU1KSWFuXzKhQ0d66mTVOxyNqeHEZ6JKFQKP3U9KxZKhYVhho2TB9+qAEDWN4TxZ1GxcWn6+fOad06tbdLUjarNWs0YICKRWpPFDcbSchk9OKL+uIL1dYqCDR3rubNUxDwmE3SGOlRWfH2+wcf6H//U3u7okj9++vLL3XjjezMp4AVHpWVySiKtGWL/vhD2ayiSC+8QO2pIXhUVjxBbtyoxkYVi5o/X/ffT+2pYaRHQgoF7d2rkSM1dCjBp4bgkQTO3qoE/xGQhLh2FpfUETySwxifOoIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgq0kUqVhUFKV9HfjPykT8eVWJKFImk/ZF4D+OFb46xLW3tGjBArW0SFIYpn1N+A/Kp30B9uIJK5PR55/roYd06pTOn1dzs3r1Ys1H2bHCpyoMlckok9G772r6dJ06pbo6TZ+u666TRO0oO4JPTxgqm1UQ6KWX9OCDunhR/furuVmLF5c+BYByY6RPSRQpm9WlS1q1Sq+8IkmjRmnbNo0ZoyBQLpf29eG/iV36NMT3vL1djz+u116TpBkztHWrBg1Ssag8n8KoFEb6ZF3Zoosi1dTo7ruVyeixx9TcrEGDFATUjopihU/QlS26v/v6aw0erLo6JnkkgOCTEoaKIuVy2rpVQaDly//xbzmBQyIYIBNxpee1a7Vhg4pFDRyoWbP+mvCpHYkg+MqLa//9dy1Zoh07JGnCBA0ZInHSjqQRfOVlMmpr08MP69AhSZo9W9u2qb6eMR7JY5e+koJAQaCvvtK0aTp0SNmsli1Tc7Pq6xUE1I7ksWlXMfGu+4kTamhQW5vq6rRmjZ56SmKLDqlhpK+AKCot4GGoG27QqFHK57V5s2bPLqVO7UgJK3y5/X31jp+WP31aFy/qjjs4aUfq+A5fVvGjNb/9pgULdPy4slmFoQYPpnZUCVb4MokihaFyOX33nRYt0uHDuukmffqp+vRREEiidlQDvsOXQ/ylPZ/XkSNauFAtLaqt1fTp6t1bInVUEUb6cogi5fN66y3NnKmWFl1/vbZs0ebNbM6h2rDC/2vxm+2bN2vVKhUKGjxYr76qhgYFgbJZmkdVIfh/J96KW71a69dL0u23a8cO3XqrikXlctSOakPwXRUfucXuukt9+mjUKL35pvr25bV2VC126bskXtjjI/f4n599phEjdO21//ggAKoMwXfSleO3Awf08cdqavrH6M4zs6huTJ6dEX845nLauVNLl+ryZfXsqdWr//rGTu2obgyfV+3KY/DPPaeFC3X5soYN09ixEr9ggW6Dkf7qxLX/+quWLdMbb0jS2LHauVPDh6d9ZUAnsMJ3xvnz2r9fkubM0b59Gj689Ngs0E2wwl+1ePt9zx4dPqznn1cux/sw6HYIHjDCSN9JYahiMe2LALqIFR4wwgoPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMj/AWxKLdrxsZ46AAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "action": "('move', [-11.970016062481198, -14.577270493490339, -8.068741809224264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e1a506e5acffce2abce3f8b2e147cc43763264bbc53d96d94db924bd3fec64f9"} +{"episode": 85851, "episode_seed": 1309227214, "split": "train", "timestamp": "2025-09-16T00:21:05.632490", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1309227214, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "action": "('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "action": "('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "action": "('move', [1.1860783923992846, 0.5476113801641322, 27.191223129008147])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3f5a6c5e292705cdb9db79068aa317c4a35b6e5598ead0de3338f124848e261f"} +{"episode": 85852, "episode_seed": 1000753785, "split": "train", "timestamp": "2025-09-16T00:21:06.242238", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1000753785, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "action": "('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "action": "('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "action": "('move', [-9.66682755911617, 2.6686674434073048, -33.499582901620215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "14b9289c54885f1513edae9773b0c350f9ab8b57042a34d37789496675a3cba9"} +{"episode": 85853, "episode_seed": 1420379252, "split": "train", "timestamp": "2025-09-16T00:21:06.848896", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1420379252, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "action": "('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "action": "('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "action": "('move', [1.740007632820291, 1.192257823189472, -36.43314971297443])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ffd9771aae9cb18e6054183952f1744ebb7c18adba018990b7f71e718bfb8747"} +{"episode": 85854, "episode_seed": 2666513581, "split": "train", "timestamp": "2025-09-16T00:21:07.791242", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2666513581, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "action": "('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKx0lEQVR4nO3bW4iV5QKH8WedzBnKLUiUIBFRGEVWZFdFYEoJHSCsi6yszA4GZnSTnaygom6MLCPpoGUkCRERRWRGBRHkRWeUhiLIAgs6YY7jrLW+fbG+PTPuHR22Omtm/s/vIiTWwhfk+d7Der9KURRIylDt9gAkjR6Dl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4EdPUTA4SLvd7XEoWKUoim6PIU6zSb3e7UEokjP8aOg8VHfu5L77+PHHsnaftBp9Bj8aKhWA9eu56y7mzOHBBxkYKP9nUVi+Ro9L+lGyYwczZzIwQKsFcNxx3Horl1/OIYcAtFpUq+UjQDp4nOEPus4Tta+Pww8va6/X6etjyRJOP52XXuLnn6nVqFQYHHS218HlDD96fvqJVat46SW2bwdoNBgcBJgzh2XLmD+fnp7yiVCrdXOcmsAMfpS021SrAH19PPss69bx/fdUKtTrZfYXXMDVV3PRReAKXweNwY+eoqDZpNEA+PxzNmxg9Wr27CnbbrXo6WHePJYvZ+7c4a+YvQ4ggx9tIxft27axahUbNuxzaD9lCvPmcffdzJo1/BUX+TogDL47Rjb86afccw9btvDbb1Qq5bldrcbixdx8MyecUH4e9/babwbfTSNX7Fu2sHo1mzfT31+G3WoxeTLLl7NwYTnbDw5Sr7vI1//P4LuvKGi3y8hffpkNG3j5ZYBGg1aLdpsjj2TxYhYtYuZMcIWv/WDwY0WrRVFQr7N3L6+/zuOPs3kzQL1OswkwcyYLFnDLLUybVn7FIz39UwY/tgy9V/Prr7z9NvfeyyefwIjsjzmGa67h5pvp7QVot6lUzF5/l8GPOSNX+P39bNrEAw/w5ZcAtVp5enf00dxxBxdfzNSpAM1meVdP+nMGP0Z1/lk6DQ8M8OijrF/PF1/AiCt6s2axYgXnnFMu8n3rVn/J4Me6oY36jz+ydi0vvMC2bQCTJrF3L8DZZ7NkCQsWMGkSrRaVSnmlT/pfBj8OFAWtVjl7f/klmzbx6KP88MM+N3PPPZdrr2XBgvLz4Apff8Dgx412m1arvJnb18czz/DII/T3w3/29r29nHkmK1YwZ87wVzzS00gGP86MXLR/9RUPPMCmTezaBZS39CZPZv58Vq7k5JPLj/m7vYYY/Lg09O4d8Nln3H8/mzfz00/DF/KB665j6VJOOQWg2aRadW8vgx/nho703n6btWt55RUGBmg0yjfzJk9m6VIWLmT27G4PVGODwY97I4/0XnuN555j0yaARoNmk6Jg+nQuvZTFiznxRC/npTP4CWLodbo9e3jnHR5+mDffhBFX9J5/nssu22cvoEAGP3GMnOp37+att7j3Xj76iKLgxBPZupWenm4PUd3m037i6Pws37mZ29vLhRfy4YesW8dxx7FypbULnOEnqpF3b3bvLt+0kQx+guts2j2rU4fBT3zWriHu4Sc+a9cQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FKQjODbbdrtbg9C6r5KURTdHsPBVBRUKt0ehDRWTNwZvjOld2p/9VVef727w5HGgokYfLtNq0W1CrBtGwsXsmABixaxYwfAxF7RSH+q3u0BHGjtdpl6Xx/r1rF6Nb//DjB9Ojt3MmNGd0cnddfECr4oqFbZuZPnnuOJJ/j6a4Djj+eKK1i2jMMOc0uvcBMi+KFVeqXCt99y+eW89x7Av/7FjTeyaBHHHw8jJn8p1TgPvtNwZ9IuCoqCqVOZOhVgyRKWLWPWLIDBQep1a5fG7c9ynUP4TsMffMA333DJJdTrANu388MPnHEGtRpFQbtNrdbNoUpjxjgMvihoNmk0APr6ePJJ1qxh927efZezztpn3d5uU6m4aZeGjLclfefUrdHgu+94/nnWrOHbbwFOOKE8je/U3vmYa3hpX+Mq+E7GAwM8/TTr17N1K8C0aSxdypVXcuyxw59xVpf+yHgIvtNw57+//MINN/DiiwC1Gtddx9KlnHQSQKtFrWbq0p8Y28H/1ya83ebQQzn2WBoNzj2XO+9k9mxqNdptisKTOekvjdVDu5Enc599xocfcsklTJkCsGMH27czd275IPDXdelvG5MzfGdx3mjwzTds3Mhjj/H99wwOcv31ADNmlDdkPZmT/qGxF3znZ/P+fp56imee4eOPAaZPZ/JkoNzMd/7gdl36h8bSkn7oovvGjaxZw/vvA0yaxI03ctVVnHxyd0cnTQBjYIYfujNXqdBssmIFjzxCs0m1yoUXcvvtzJ49fEovaT90O/hms7wP27kJX69z2mnU65x+Orfdxvnnl5F3dvWS9s8YWNJ/9RVvvMEFF3DUURQFv/7K++8zbx6HHAIM79gl7bfuBd/5ex97jLVr+eILli/noYdoNIZP3V3DSwda95b0lQqDg9x0E0BvL0ccQbVKtVq+3zb00qukA6ere/iioKeH885jxQpOPbWc2ysVt+vSQdLtPfyuXfT0WLg0OrodfIcnc9Ko6PbPch2mLo0KL6JLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCvJvOYDNJRCSFEsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "action": "('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "action": "('move', [-22.758117858779297, -43.55637800658548, 28.430100986681925])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "17b8b294b15c49bc96387e1affaa8c4e7385ba3b883076679542e87125622b86"} +{"episode": 85855, "episode_seed": 1386154682, "split": "train", "timestamp": "2025-09-16T00:21:08.404096", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1386154682, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "action": "('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "action": "('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "action": "('move', [0.11968429857885841, 3.629720195375581, -30.68175086902126])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7d7bdca71adf0d61f1ac45c88e2b5881ce327aaf68217f1ca6824bc3343196d9"} +{"episode": 85856, "episode_seed": 1404952043, "split": "train", "timestamp": "2025-09-16T00:21:09.014223", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1404952043, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "action": "('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "action": "('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "action": "('move', [-8.698422751446037, -3.1570311107598283, -25.425325476659253])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6f5411890ee9e338ae7e7009845a9424ea0071d73d371cc79938d6c07036137f"} +{"episode": 85857, "episode_seed": 17057700, "split": "train", "timestamp": "2025-09-16T00:21:09.957748", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 17057700, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "action": "('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "action": "('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "action": "('move', [25.70818640605066, -25.510876365081582, 36.83519236440858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "649ad4b19d49e9fd59fa30f08a552a1e14e2f5fab3538b467d41d42c3357b1bc"} +{"episode": 85858, "episode_seed": 789582207, "split": "train", "timestamp": "2025-09-16T00:21:10.572420", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 789582207, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "action": "('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "action": "('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "action": "('move', [6.852259589647737, 1.3935301798056032, 27.65875380254575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9e6aa13576ca22993f16cd642d974016f78065c39e3bf8e90f3add496f8299f8"} +{"episode": 85859, "episode_seed": 4178549432, "split": "train", "timestamp": "2025-09-16T00:21:11.183660", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4178549432, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "action": "('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIhElEQVR4nO3ay4ocdQPG4bfnkHiIhxwco5mYOComKIhuois3rgQ33oTgyoUrr8CVl+AFfCC49AIUshFRCQhiMhNyMicxYzxMOt3fYppkJl88xDgT873PQzE01V1dNVC/qn9V9WA8HgfoMHWnNwDYPIKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIjN3egO4i43H118PBnduO/jLBM/fd0Pko9HkELA6f+1f/iUG47VHabgVFy/m11/zwAO5557Mzt7kA+NxhsNkTfzXJu4IwXPLxuMMBllZyVtv5ZNP8sIL2b07TzyRffuye3cefngyPfRQtm27yeKj0fWjwGCQqSmHgM1jSM/f9OOPWVzMmTM5c2bd/JmZ7N6dxx7L7t2TaW4ujz6aRx/N3Fzm5rJjR7ZsufHbRqOMRusGAnE5sAEEzy1bPcNfuJBvv70+c3o6U1NJMhzmxImcOLFukZmZbN8+mXbsyM6d2bMn8/OZn8/evdm7N3Nzk8X/eL1rORz8DYb03LLV4C9ezH/+kyNHcvx4jh7N0lKWl2/te6anc++9ue++ybRrVxYWsm9fnnwy+/dn//7s2ZOZPzsljceTocGfHi+I4Ll9V69mOMxwmAsXcuzYZFpczHff5eTJ/PxzfvstKytZWcnVq3/pC1cHCzMz2bo18/NZWMj+/ZOjwFNPZefObN06mW56p5A/IHg21oULWVzM8eM5fjxLS1lczPnzuXQply5leTmXLmVl5SZLrd7Ju/ac74a3Vm8Q7ts3ebFnT/buzfPPb8J/c9cTPP+YtbvStQfyN73SvnQpp07l1KmcPj35e+5czp7N+fM5fz7nzuWXX25cZDDI7GwGg8mA4gaHDuXw4Vy9OjlS8HvctOMfs7a0a6/H43XT6lsPPpgHH8yBA+sWv3w5Fy7k4sXr2Z86lZMnc/JkTpzIyZO5fPnGNU5NZcuWjEbZsydJRqNMT2/Uf/f/QfBsrJue5NceAkajJJmezv335/7788QT6z65spKffppMy8s5fTqLi1lcnFwdLC3lhx+STIJ3bv9ThvT8K6zuhmsHAkmmp3+34ZWVXLmSK1eyvJzFxezalYMHJ48P+AOC59/r2r65dif1+O12CJ672LWd14n9L3INz11M57fK8AiKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB7utPE4o1HG401Y1WC8KasBrhuNMhhkMNj8Nc9s/iqh0eppfDRKktnZ6/NHo5w+ne++y8JC5uczHm/ogcCQHjbSaJThMFeuZDDI9HRmZzM7mx9/zPLy5AOXL+edd/Lqq/n44yQZDjd0c5zhYSNNTWVqKkl+/jlffpmvvso33+Trr/Pmm3n77YxG2bo1V68mySOPbMLmuIaH2zMeT8bh/zsUHw7z6af57LN8/nmOHcupUzl7dvLWG2/ko48yM5MkR47kxIkcOpTt2zd6SC94+Of89lt++CHT03nkkcld96efztGj1z9w33157rm8/HJefz2vvZaZmY0u/AaG9HB7vv8+p0/nyJEcPpzDh/PFF3n33bz/fobDzM7mpZcyHmdhIa+8kkOH8vLL2bVr3eKDweR+3tTUJpQveLg9772XDz9cN2dp6frrDz7Itm3Zvv2PvmH1ft6mEDzcnp07k+TAgTz7bA4ezDPP5MUXk0yuz/fuTZLhcHKRP3WHn4u5hofbs7iYb77JwkIefzzbtt347p37jc1NCR7+OcNhxuNMTW3aEP1WCR5uz+ott9XT+L/mTP57BA9F/LQWiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwXyIjBdJR3tX0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "action": "('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "action": "('move', [1.592338570418262, -1.3322090146665788, 6.747887739104016])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH+0lEQVR4nO3dy09cdR/H8e8Mt0jxQgWKtDWGaKxxpZvWxMSNKxM3/hmuXOjGv8C48E9w6c7EP8Im3Rijpkk33iKXFtMCtaClw8yzmPNAaSmah8L48Hm98svkZLgdEt7zO+cw55xWr9crIEN70CsAHB/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5DhQa8AnFi93u7jzkK7Xa3WwFZJ8HAoO1U/sNBu19BQVQ0y74cJHv6R+3veGVXVbtfw8COr3tioO3dqY6NZWF+vCxfqhReq1xvMC4Hg4UEPT9e9XjNj71vp1latrtatW7uPN2/WzZu1slK//14rK83C2lpV1aef1kcfCR6Oy85O9b5arWY8bG2tbtxoRj/j69drbW13rK/X6mptbe3/nYeGamiobt16DL/C/0zwxDl4ar17txYXa3GxlpdraamWlmpxsZaW6vbt2txsxp9/1ubmQS8c7XZ1uw8+ub1d29v1009Vf/eic3QET5BOp+7dax7v3KmFhVpcrIWFZmFpqX77rW7frnv3anu7Op3qdPbp9gD9/fnh4RoaqpGRevLJOn++zp5txrlzdfZszc9XVXM87/gJnpNvaam++KKuX9+drhcW6q+/Hvn5+87PO1qtGh+vJ56o8fFmPPVUzc3tGf3Cx8aO4rc5lFZvUNsWcPS63Wq36/LlevPNPc/3d6frv5vZ+xodrWee2TMmJ2t6umZna2amzpxpHicnH/nT921rsP+lM8Nz8k1N1dhYbW3tFnh/5/2Mp6drZqampmpmpqan6/Tpmpysyck6fbpZHh3d/5tvb1e322S8c7TvgCN/gyV4TrJ+cmNjNTtb3W49/3zNztbcXD33XM3N1Zkz9fTTNTFRp07VqVPNwqPs7M/vxNwfO2+w+b9gk56Tb3u7Vler1arR0RodrZGRaj/6JJL+jF0PTdc16K3xx0LwhOr1dsPuOzFVH0DwRLj/z/xkJ30w+/BESI78fs6HhyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCh0Hrn7h3LKexOVsOjl3/EjmDOKHH2XJwLPrTeP8U/JGR3ee73Vperh9/rPn5OnfuqO9QYZMejlK321wWu9VqLl49MlLr6/XHH80nbGzUBx/UW2/VV19VVXU6R7o6Zng4Su12cz2tzc367rv6/vu6dq1++KHee6/ef7+63Roba66nOT19DKtjHx4Op38Dun33yTud+vrruny5vvmmfv65lpZqZaX50Lvv1pdf1vBwVdXVq7WwUBcv1uTkUW/SCx4en7t3a3W1hoZqero56v7ii83NpfrGx+vVV+vSpXrnnXr77RoePubbStqkh8O5caOWl+vq1bpypa5cqW+/rQ8/rE8+qU6nRkbq9der16v5+Xrjjbp4sS5dqqmpPV/eajXH89rtYyhf8HA4H39cn3++55lff91d/uyzmpg46PY0Vc3xvGMheDicZ5+tqrpwoV5+uV55pV56qV57raqa/fPz56uqOp3d21YMlH14OJxffqlr12p+vubmamLiwY8O7j02+xI8PD6dTvV6/+a7TwkeDqd/yO1fe/vIvQQPQby1FoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8Bz0qqFIxruMEAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e7d6526d9d72290bb9dc13aa3eea69e0b0c8cf424c0216363019234af69a79cf"} +{"episode": 85860, "episode_seed": 1788402169, "split": "train", "timestamp": "2025-09-16T00:21:11.794163", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1788402169, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "action": "('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "action": "('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "action": "('move', [-12.100236297614524, -19.536383505748653, -6.098079376132337])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3af66c6aabedc3609cc6a0ff6916f1397c03a9c5a12fb16bab2534060bae4ff0"} +{"episode": 85861, "episode_seed": 3737103562, "split": "train", "timestamp": "2025-09-16T00:21:12.745685", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3737103562, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "action": "('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "action": "('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "action": "('move', [-97.31735571636283, -75.47639769939403, 39.79055150346678])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHKUlEQVR4nO3cX1MUVx7H4V/PDIjR9SKImkXZUkDE2lTl5eQd5pV4lXsVUITsxkCBQUOs8K+n92IQkGRdt7YM2Xyfp7joapiu7mI+dU6faWi6risgQ++iTwD4/Qgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggie30/XVddd9ElkG1z0CfBnc5L0aKNpqmmO95xscFEEz/9kVPVo6B5t9/vHYZ/Nu21rf78ODmp7u27eqL9cu4hzRfD8t0ZhD4fHG71eDQbnh+5ffqk3b+qnN92bN/WPfzZLT2tppVaeDleWa+vH3jff1NdfV9cZ8C+A4PkPTtoeDeBjY9U01Tuz+PP2bW1u1uZmbWzUxkatr9eLF7W6WmvPh9s7VdV/94O9waDGx2t1tcr0/oIInvecXVQbDeC99xd29/drba3W12v9Rbu2Vi83+j/8UC9f1sZGbW2dO1h/bLyaqnZY7VFV1dFRVdWjR5/2EvgAwcc5t6h2ruezA2/T1OFhrawcfy0v19pavXpVOzv1+nW93ul1dX7Nvd8/nhGMHB5UVV0eO5r7e29+oTc/V/Pz9dVXn+Cq+DhN53OSDG372yP2yXePDmtvv777rh4/rqWlevp4+OTxcHN7sLdXe3u1v1/D4YeO3zTV79dgUJcu1b277eJi78Fis7BQDx7Ujalu4nJNXG4mLn2ii+NjCT7OcFhv39buT93ubm2/apaXa3m5lpZq6cnw+fPaP/yYRzO6waC5cqWuXq2rV+vm9fb+/Vp42L9/vxYW6t69Ghv79698t9THhRB8hKOjevSotrbq++/r2bNaXa3VZ93KcttWv+p0Et/vV69X7bCG7dlXD5tqpm40U1M1NVXXr3d/m27nFvr3Zpu7d2t29kP1nntzWai7cIKP8PPPNTNTOzvv7RzNwLuuDg7O7u6qhrdu9e7cae7cqZmZmv7r8PZ0Td/p3b5d09M1Pv7eQbqu2vb06Zqzj9nwB2TRLsLYWH3xRe3uVr27mR9ttG1V1c2bNT9fc3M1O1uzs82tG83kVE1O1uRkTUzUueevDw+P5+SjtpumBt5E/z/8riKMjdXDh/XkSQ0GdWvqaPFhb2Gxt7BQi4s1M1PXrtVnn9WVKyf33qeFt20N26rmtPAP3J/zx2dKH6Hr6ttva3e3vvyyPv/89OnXX2vf3b2fDOD8mQg+mkW1NKb0KU7+du0shacRfAptU/4BBkQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5FwO0P9+ajRzmAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "232c227d583c5c6a9d293142196f0069cea5624f231e41fee4f64028ac32a26f"} +{"episode": 85862, "episode_seed": 1519815327, "split": "train", "timestamp": "2025-09-16T00:21:13.359066", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1519815327, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "action": "('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "action": "('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "action": "('move', [-16.71537597654325, -44.198271348237625, -58.94984242095052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "df82f8f2c75ffa90ba91bbe3075b5dd0f10fdb85b8b8c89b0514bb4691d955dd"} +{"episode": 85863, "episode_seed": 1444875878, "split": "train", "timestamp": "2025-09-16T00:21:13.967451", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1444875878, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "action": "('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "action": "('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "action": "('move', [2.0703891135490795, 1.4684173578279738, 59.757664080813434])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALI0lEQVR4nO3db4hVZQLH8d85997xfyZpBmqtG1MvRIgya1W2f5bhBG6Wa+yLwr9YDDSmBZJjIetmQdFKG9ZC6YsNc0uESSZKUzKpmV60tLuG+Af7I2MUU2Z6x7n3nrMvzm0XwpwZ595znf19Py9lhIue7zzPeZ7nnBvEcSwAHsJafwAA6SF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghODTEkWKolp/CLgL4jiu9WdwEkUK+SWLmuHiS8uRI3r/fWpHbXH9VVkyjd+3T7Nn6847dfiw4pi5PWqF4KssCCTpoot07Ji6u7Vhg4KA4FErBF9lQaA41uTJWrxYpZJaWvTZZ8pmVSrV+pPBEcFXX9J8U5OGD9fnn+u11xTHYq0UtUDwqQgCXXGFli5VFGnLFh08yCCPmiD4VCTj+aJFGjVKhw6ppUX66fYeSBHBpyKZ1dfX64EHJGn9eh0+rDBkYo+UEXxaoki5nObP1+jRuu46jRghMcgjbZy0S1dXl77+WpddpkGDVCopDGkeaSL4tMVSKVYYc+gONcBFl7ZAcTaIw1Clf/xTnZ1s0SFNBJ+eKFIc60Rn/OeXgqOL/pi567fauFFBoGKx1h8NLgg+JclAHgR66a9B0zLd9crNbxz7jf6+JT5+XJkMh22RDoJPSRQpk9FHH2ndn4IwiP89eMby4KWOfx0Ltm6Jw5BDOEgHwachGdtPntTq1frhB2Wygbqipkm7xxY7o79tCY4fVzbLII8UEHxKwlAbNmjXLuVyKhTiO38XrvjLhLAuF7a36e232ZxDOtiWq7pkeG9v1003qVCQpEsvjffsDa76VXf8+z8E297U1KnauVMjRvA+HFQbl1ca8nk1NqqrS5JKJT3xRHDVr6MoUxcsWay6OrW3a9s2iYN3qDqCr65CQUGgtWv18ceqq1OppHvu0cKFimJJsW65RXfcIUnd3RLBo+qY0ldRqaRMRu++q3nzdPKk4liXX66WFk2erFJJmSBSGOrAAUmqry//Hab0qCaCr5bkfvzECc2apbY25XIqlbRxo5YsUaGgXO5sP62f7viB6mA8qYrkmE2xqKeeUlubMhkVCrr7bi1ZUn5q7uc/HYbK53X4MG+8Q1UxwldFMk7v3q05c9TVpWJRY8eqvV3jx0s/u1VPfrS1Vc8+qyFD9MYbyuUUBIzzqAZG+MpLEj5xQo2N5Vv3ONZzz2nCBOmXFua+/167dqm1VS0tCkNO16NKCL7ykin5mjXav1+5nIpFLVig+fMVRWerPfmj++7TDTeoVNKrr+rMGWWzPEKHaiD4CkvOzLe26sUXy7fuEyequbmn1fcg0IoVkrRzp955R0HA6XpUA8FXUvIAbEeHli9XsahMRsOG6emnNXFi+fU2Z5cM5g0Nuv56FQratEn5PI/QoRoIvmKSe/VMRmvX6sABZTLq7ta8eZozR8XiOUf4ZGV+6FA1NSmOtWOH2tpYtEM1EHzFJJP57du1ebNyOUWRrrxS69errq7Xi+63366pU3XmjJ5/XmfOcAgHFcclVRnJwZkvvtDjjyufL8f/zDMaO7Z83q4Hycr8mDFauFDZrI4c0alTkli6Q2Vla/0B/n8Egdat0/79qqtTd7eWLtXcueXyeyUZzxsaNG6cbr1VQ4fy8BwqjoM3FZBsvL/5pu69V2GoKNLVV+vDDzVqVD9OyhaLyvLrGBVG8P2V/Pt1dOjGG/XVVwpD5XLavl2zZp1X7cnSXzKwnz6tQYN6PUMAesaMsV/++2rKlSv15ZfKZFQqadky3XZbP/bRk2du1qzRzJnat08Se/KoFEb4fkmee9u0SQsWKJtVsaipU/XWWxozpn834Pm86ut17Jjuv1+bN5f39NmoQ78xwp+/5Lm3gwe1bl15K33IEK1ZozFjetp4P7c41pAhamqSpNZWffABr7hEpRD8eUom811dam7WoUPlJB96SA0NvduH69GCBRo3Tt98o61by6fwmYuh3wj+PCWH6l5/XVu3ls/MX3ONmpvLM/l+zb6Tti+5RMuXS9KmTdq7l++WRkUQ/PlI1tGPHtWqVeU8s1m98IJGjqzQ98Embc+dq/HjVV+v0aMl3niHCmCn9/w9/LA6OpL3zGv1ak2fXrn3UyULAOPH6733NGoUwaNSWKXvs2TSvnGjHnywvDI/Y4ZaWjRypESVuLARfN8kC3IHDmjGDHV2Kgg0bJhaWzVtWoXW6n4m+d/htwgqhCl9H8Sxokj5vJqa9O235ZX5lSs1bVpfzsz3Camjoli064Nk4/2VV8pfEVcsato0NTbyBjoMGEzpeyuZsX/yiWbO1HffKQg0fLh27dKUKTzVhgGD67RXkuX3U6fU3KzOzvJkftUqTZlyzndXARcYLtVeSTbeX35ZO3aU9+FuvlmPPlo+fgMMFEzpe+vTTzV9uk6fVhjq4ou1Z48mTeKLoTDAMML3LI5VKKixUT/+qCBQsajmZk2a9AvvmQcuYATfg2JRQaAnn9TeveXve25o0NKlPL2GAYnge5AsyM2erWuvVXe3xo3T2rUaPPh/r6UBBhDu4Xsrn9djj2niRD3yyNm+7xkYCAgeMMKstA9KJW7dMbAxwgNGGOEBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wDTkeVqGe0xzAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f83de52709c36c3c66c84373a73e1a86c18c6a106cc1955c570201287c3b8b57"} +{"episode": 85864, "episode_seed": 2584979678, "split": "train", "timestamp": "2025-09-16T00:21:14.906496", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2584979678, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "action": "('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "action": "('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "action": "('move', [1.975081189539097, -2.072099186854918, -16.265287206002984])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c865e531979ac36723f736a417648c9ab14abc806ce886c4551d6f5dfa5b49d1"} +{"episode": 85865, "episode_seed": 1439708566, "split": "train", "timestamp": "2025-09-16T00:21:15.518741", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1439708566, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "action": "('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxElEQVR4nO3czYtdd+HH8c+duU2N5oHWSdM2D2RmtBQVpK2iRZFq0YUVXIjdFcStIG79E4Ru3LgUXVQQBMFY0WrwYSGSCkJTdFE7NU0waVNbGpNpzcy997eYm5kkjdhfaTPT+bxenMWde8+9cwL3fc73fM+ZDCaTSYAOM5u9AcCNI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoMtzsDeDGmkymDwaDTd0ONofgy6x3PhplMJgu1BB8gckkg0Feey0/+lHuvDP33JN9+zI7O31pZSXDoexLDCbrYzy2q7Xgn3oqH/1okiwu5qGH8tnP5kMfyl13bfbGcUMJvsBa8CdO5JvfzPHjWV6ePn/33fnMZ/Lxj+cLX8jhw9M1x2ND/W1M8E3+9a889VT+/Of8+tc5dizj8fT5xx/PF7843S9cY+3rIf7tQvCVXnklp07lD3/Ij3+cpaX8/vf5wAeS5MSJPPpo7r03Dz+cO+7YWF/224Xgm4zH08P4zOX7Ly5dyquv5pZbkmQ4zPe+l298I0l27cr99+erX82DD2b//rzvfRsfIv53M8FXmkwymWxkn8vn+UeP5tFHc/JkTp6cPr9jRz73uXz5y3n44dx668b6ly5ldjYzM8p/dxE8l62fwz/9dI4dy5/+lOPHs7Q0ffXvf8/iYiaTLC9nZiY7d07fMhplZuaqfQdbmOC5wnic8TjDy3dnnDiRv/wlv/tdknz/+xmPMzOTxx7LD36Qe+/N5z+fBx/cOMJfd86PLUbwvMFolPF4OmJPsrKS5eXs2ZPRKMNhvvSlPP54kuzdm/n5fPrT+cpX8sADV33C2imDa3tbj+D5L9auyU8mGwf8tYaPHctjj+WJJ3LmzPTC3o4dOXAgjzySb38773nPVYf61dXpeb7ytwbB879cd1r+P//Jr36Vn/40x4/n5MlcvJiPfSxPPjk9pT93LsvLOXJkuvJolGR6My+bSvD8/115DL94MU88kV/+Mp/4RL7+9ayuZjjMI4/kySfz0EP55Cdzzz3Ti/xsAYLnrbpmhm/da6/l8OG89NL0x498JPfdl699LQ88YGJv07mawls1M5PhMJNJVlezsrLxl/bDYY4ezXe+k099Kkmefjo//GGefz654q/x2SSO8Lxjzp/PqVM5ejS//W1+8pPs3r3ZG4TgeSeMRqbotibB845x1/3W43+84R0j9a3HpB0UETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUGW72BsDbZjLJaJTBIEkGg40HrBtMJpPN3ga4ca75vrftDhzh2Q5Go8zO5uc/z3e/mwMH8sEPZn4+8/NZXMy+fVdV/cbCJ5OMxxsvbe9xgeDZDsbjzM7mr3/Nb36TJINBZmYyO5vhMLt3Z3Exi4tZWJg+OHQoO3fm5ptz883ZsSODQWZnr/q0ySQrK9PPuXLZBgTPdrA2UP/b3zZ+HI0ymWR1NcvLeeGF/PGPV61/xx2Zn8+RIzlyJPPzOXw4t9ySvXuzZ0/27s3Onbnppmt/xcpKJpNrdwHvur2A4NkO1g7R992Xf/4zL7+cM2fy4ovTo/SVhsPMzmY8ztmzOXPmqr3AzEwOHsyBAzlwIAcP5s47s39/9u/PbbdNlzfuAkajjMfXxr/FdwEm7dhWLl7MSy9Nl3PncvZsnn8+p0/n1KmcPp2zZ69df2Ymw2GSrK5Oz+Sv9N73Zm4u+/Zlbi5zc7n99hw+nEOHcuhQDh7M7bdfZwPWe9qa5Que7WNtyP1GFy/m3//OhQs5fz7nzuW55zaWpaW8/PJ13jIYXDufv27Xruzald27s3t35uaysDCdIJyfz8JCbr317fwXve0Ez/ax9l2eTDaWtam761pZycpKLl3K+fNZWsrSUp59Ns8+m2eeyenTef316Qqrq//79w4Guemm6bJnT44cyYc/nG99K3fdlfE4M1vp7jbBs82tf8HXH7yZAk+dytLSdAjw3HP5xz/y6qvTYcKFC3n99eu8ZX1wMZlkbi4/+1nuv396vXDrEDzVrvv1v+55werqxnTA2nLu3HSmYG3K4MqxwN135xe/yPz8lgveLD3V/tvU2vpJQS7vFGZns7CQhYWrVrtwIS+8kBdfnC5nz+bs2TzzTObnc9ttyZsbTdxIjvDwplw5NbC2zM5e/+j9yisZj/P+99/wTXwTBA9v0ZVDgLVlMJhe5NuyBA9vpy1+HX5r747g3WZrdr5ui00pAO8kwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wPOt2CFmV889QAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "action": "('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "action": "('move', [-9.13208703370944, 14.922823873692773, 56.57985632092281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e9b6113ff7328f6502adbc62083858d0d7698681332f29d22adb808877b90e3a"} +{"episode": 85866, "episode_seed": 696678550, "split": "train", "timestamp": "2025-09-16T00:21:16.130820", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 696678550, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "action": "('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALc0lEQVR4nO3daYhVZQDG8eeee0cdczDNCUstaIHM6kOROhWauEFMFIM51FSKkAlpG5JbWpq5RWhYGNoGpYgRJRRhQZaFkCLZiAtoYTQm5lgjwYhzl9OHcxIzq5nx6l2e/++TOCCH4fzv+573fe8xEYahAHgICn0BAC4cggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOA7JZdTNlvoiwA6LFXoCyhBYaiAD0qUJG7cjghD5XJKJPTss1qwoNBXA3QYI3y7haGyWaVSWrZMixYpDNW/vyZNUi7HgI9SwZ3abmGoVEqvvqpZsxSGGjZMtbWSqB0lJBGGYaGvoRREw/s77+ixx9TWpsGDtXGj+vZVGCqRKPTFAe1F8O3222+68Ub98otuuUUffqgBA5jMo+Rwv7ZPGKqqSsuXa/RorVunAQOUzVI7Sg4j/H/654y9tVXduzO2o0Rx1/67TEaJhDZt0qpVSqclKQzVvTv78ChdbMv9i1xOqZR27NDUqTpwQG1teuIJ6WxjPlA6GKnOJhrD9+7Vgw/qwAFdfrn6949/RO0oZTzD/0P0fH7ggOrqtGuXevfWmjWqq+O5HWWAO/jvoqqbmtTQoF27VFWlFStUV6d0mrEdZYDgTxPN5A8e1MMPa9s2deuml17SQw8pm1VFBcGjDBD8X6Ivxkhat06bNysItHSpHn1UkpLJwl4akC+s0v8lqj2X0yOPaN8+XXedHn+c53aUGRbt/i7adTtxQpWV1I7yY39DRwN7GOrpp9XYqERCuZwqKzldg7LkfU9HtWezmjJFy5frnnvU1KQgiP8eKDvGz/CnVummT9fq1ZJ0xx2qrpakROLUmnz0xMMKPcqDa/CnXl8zZ45eeUWS6uv15pvq0uX0w7NhyNQeZcV70W7RIs2ZI0l33621a9Wjh6TTa4/+2NZ2xucAUKosB69oJv/yy3ruOUkaO1bvvaeqqjPG9kRCe/fq9tv12mvx3zh/NqI8+I3w0Wbbjz9q+HA1NenOO7Vhg6qrlc2eOmAT1b5ihebPV0uLLr5YX32lm25inw4lz+z+zWbjkfqqq7RqlcaM0bvvnlH7KZmMWlrUpYtaWjRvnjKZglwxkE9OI/ypAfr/Hsejn2cyGjNGmzcrmVQ2q7ff1sSJPMmjtNmM8NFq+yef6PnnlUjEq/S53Fmfy6Ofp1JaulS9eklSEGj2bB06dKGvGsgvj+Cj/y7m6681caLmz9eiRfFO+2n77f+UzermmzVtWvy6ysOH9cwz8Uk8oEQZBJ/JKAi0fbsaGtTcrCuu0ODB0v9M7KOPgmRS06appkaZjJJJvf++NmxQEPA8j1JV7sFnMkql1Niohgb9/LMuvVSrV2vUqLOu0p0hCJROq08fzZ6trl3jf+zFF/Xrr0qlGOdRkso6+OhBfP9+PfCA9u9Xz5564w2NHatcrp1fca+oUDar2lpNmBB/RDQ2askSpdP/9vgPFLXyXaWPZux79qihQTt36qKL9NZbGj++o5vp0Uh+5Ihuu00//aRkUj166KOPNHw42/IoPeV7w0bP5x9/rJ07VVmplSs1frzS6Y42GgRKJHTZZVq2LN7Cb2nRzJn64494MR8oIeU+wre0aO5cXXmlpk9XOq2Kis79Y9Fgfv/9Wr9eFRVKp7VkiWbMYFseJaZ8g8+rKOwfflBNjY4eVRCoWzd9+61uuIHmUUrKd0ofydPHWTR7v/pqLVyoVErJpFpb9eSTOnmS5XqUknIPPn+Db3Q2r75eo0crnVYqpS+/1Jo18cFboCQwpe+AaGdu+3bV1urYMWWz6t9fmzZp4MD27/QBhVTuI3xeJZPKZHTrrZo8OX5fTlOTli6VpCBgxR4lgBG+Y6LfVjqtoUP13XfxfH7DBt13X3sO7wEFRvAdFi3Lb9mikSMlKZPRoEH6/HP17SvxuksUN6b0HRat2A8bpqlT46P6u3dr8WJSRwlghO+M6HfW3KwRI7RnT3wa77PPNGIE2/IoaozwnREN8tXVWrAgjj+T0VNP6cQJztuiqBF8J0Vvwqir08SJ8X8n/f33WrhQEt+WR/FiSt950Xt09u3TXXfp4EEFgS65RBs3qqaGFXsUKUb4zgsCZbMaOFAzZsTnbY8e1bx5On6cl9ijSBH8OYn24SdN0siR8XnbL77Q2rVKpQgexYgp/bk69aKNIUPU2ipJvXtr61Zdey1vyEDR4X48V9Gy/PXXa+7c+ER9c3P8Z6DYMMLnQfQrbG3VmDHaulWplDIZrV+v+nq25VFcCD4/orC/+Ua1tWptVSajfv20Y4f69Pnvl98DFxRT+vxIJJTNauhQTZ4cvzivqUmzZvEtOhQXRvi8ibbljx3TyJFqbFQqpSDQBx+otjY+cg8UHCN83kTb8n36aO5cVVYql1Nbm154QUeOKJlkDQ9FgeDzKVquGzdO48Ypl1OXLtq2TStXSnl7uR5wTpjS51m0enfokIYM0eHDklRVpU8/VU0N2/IoPG7APIu25fv10+LFceHHj2vmTJ08yRfpUHgEn39R2A0NuvfeeLluyxa9/jqbcyg8pvTnRTS2796tESPU3KxEQj17ats2XXMNR3FQSIzw50W0Yj9okGbPlqSuXfX775o8WZkMy/UoJII/X6I3ZEyYoFGjdOKEUilVV+v4cSWTPMmjYDgOcr4EgTIZ9eqlWbOUTqu+XlOmSGJKj0LiGf78in67LS3q1Ss+ikftKCCCP++iIT2bjV9uCxQQwV8IHLlBkSB4wAjjDmCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8CZetNOauGzaaAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "action": "('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "action": "('move', [-0.926253776671096, 1.2783523142968265, 52.14932737834844])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsElEQVR4nO3dS4gl1R3H8X/V7e5pMepCDUIiaiJGEEWDOosYRDBPRCQ+etTBxxiJBiEoIYvErIzZBDESJQijM+P4YgbiC01E3EQE40IEQRRRxAGDcVyoxOnpe29VFtUYIiY+Apn0/X0+27upRX37nFN1TnXT930BGdp9fQHA/47gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgP6fptLpuX18EfEaC/zym0xqNqm01zxoj+M+s62o0qnvvrVde0TxrjOA/g76vrqu2rW1b+40b+6WlevFFzbOWNH3f7+trWDOGmfx993SbfljjSTud1Ikn1o4ddfTR1ffV+uPJ/z036ac1HtdoVA/+obtiUy0vt21TVf369XXEEWpnzTDCfyqTSc3N1eN/7JeW+nffbxcWamWlv/zS7s6to6rq+2qafX2J8CkI/pMN6/an/tyf+4N6+51mbr4m427Def1d947m5qpK7awZZqKfYDqttq1nnqkNG/q332nm5moy7s8+q9+8Ve2sPYL/TyaTGo3quedq48Z686/twkJNJt33v9tvv2e0//5m8qw9gv+3hnX7iy/WZZfVq6/W4mKtrNQZZ7R33d0eeODqPB/WFmv4jzf0/PrrtbTUP/tss7hYy8u1fn09+GAddtjq+zlYcwT/MYa5+ltv1fnn11NP1fx8jcd1wgn10EN15JFm8qxhZqUfNfS8e3ddfHH/Ye3HHVc7d6qdNU/w/6Lrqmnqvfdq06b+ySebdetqPK5jvlbbt9cxx6z+CmuX4P9pWLfvWa4fXdk98kjtt1/t3VuHH153bu5POqnGY0/pWPPcwquG2ieT+vHV3f07moWFZs+eOvTQumNz/43TmvG45uf39SXCf03wVVXDg8vptK65pt+6tZmba1ZW6qAD+zvv7L717WY6VTszYm5fX8C+Nxx6HY3quuvq9tub0agmk/rC/v0dd9RZZ7V97w0csyN9hB/G9tGorr++v/nmWlio6bQWFuq22+rc85rJxFM6Zkp08MPY3jT1619Nb7yx5udrZaWapm65pS65tBnOw8IsiQ5+2DB302+mv/hl07ZN11VVf9NNddVVq/tqDe/MmNzgx+Oam6vf3zr96c/aqradq+m0u/GG7tprV5f0amf2hG6tHcb2bVu7K6+sybQdjWoy6a7/eX/DjaNhkq92ZlJi8MMr9507+ssvrw/2NG1b02l33U/6m347ciqG2RYX/LA4f+jB7pJLmvfeb+bnazzurr6q/92to2FgN7Yzw7KCHzbMPfFEbby4/vZ2rVtXe/d2V1xet29uR60j7sy+oOCHsf3pp+uii+qNN2pxsZaX+w1L/dZt7bp1aidCSvBDz88/XxdcUK+8snro9eyz+7vvbg44QO2kiAh+OMT+8st1zjn10ks1N1eTSZ15Zt1/fx18sCPuBJn9cW14zfbaa3X++d1LL9XCQk0mdfrptX17HXywI+5kmfHgh49Mv/lmXXRh98IL7fAhylNPrS1bVj9NZyZPlFm+34cNc7t318aLu78826xbrOXlOv742rKlP+qo1U9QQ5SZXcMPz+Hefbc2LE3/9Hg7P9+Mx/XVr/Q7d9ZJX29ssCHTbAY/PIf74O/9hUvdw4+2o7lmOqkvf6l/4IE6+ZSmm1ardiLN4JR+qP399+vSy5qHH23n55vppL54SH/fff3JpzRTtRNsBoMf7NpVjz9eVc14XAcdOL3rrjrtm60j7oSbweCbpvq+jj22HnusDjmkFhdr67b2O99rJhOfpiPdbK7hP/T007VrV23Y4J9DQdVsB//hFjp76WAwg1P6DzVNdV1Np2qHVbM8wgMfMcsjPPARgocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wCTRhz/F4qgYwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "efb37938df77b6ef0c19a22bc2a81c6402ebd9f815dee8d8015bb00dc24b17cf"} +{"episode": 85867, "episode_seed": 2035134870, "split": "train", "timestamp": "2025-09-16T00:21:16.737860", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2035134870, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "action": "('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "action": "('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKlUlEQVR4nO3db4hVdR7H8c/vnHu9kzrZmoHFsBY1TioG7bQJLRnW5GzRsA/WJ4myPRiLpkCIWgqkRVrIICrWbLG1MMJIFqLY2ppIW9GEXBuyKGYe2fRHrAlyV8tx55zz2wfnEtEiZTs6997P+/XUJ2dk3vf7O+f3u2dCjFEAPCRTfQEAzhyCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMOIefIyKcaovAjhTrIPPMoWgEKb6OoAzxTT4otDRo+ru1r336vBh5TlzHhYcgy8KJYkef1zvvaeHHtKCBdq7VyGoKKb6yoDTrDLVF3CmlTftX3yhJ56oL+bPPVdz5071ZQFnhN2Ez3OlqR55RIcOSVKMWrNGnZ3KcyV2/xmwE6LTzWtRKASNjOiGG/TRR5J06aXavVuzZ0sieLQ+r9/xGBWCtmzR6KjSVJJuvVVz5tTv6oGWZzThy8X8u+/qppt06JBCUFeXhoZUq0licw4WjOZakijLtHWrPvtMaaqi0H33qa1NonbYcJnw5WL+/fe1dKmOHlWe6/LLtW+fKnbbFLDmMuHLGf7YYzpypH67vn69KhXO28CLxYQvx/vQkJYskaQsU0+PXnxR06dLrOfhxGLCl59p69cryySpWtVdd2nGjPouHeCj9YMvt9x27NDgYP25XV+frr5aMbIVBzst/itfHqSdmNDDD+vECYWgs89Wf79mzlSeM95hp8WDzzKlqV5+Wbt2KU2V5+rp0XXXKct4Pg9HrRx8UahS0bFjevJJHT+uGDVrltau1bRpzHaYavHgQ9Crr2pwUJWKikK9vVq6tH7kDjDUstty5VbckSPq69OePUpT1Wrat0+LFtX/CTDUyhNe0muvac8eVSrKc61erUWLJDbeYaw1J3w5w48f1xVXaHhYktrbtX+/Lr5YIngYa+UJ/+yz+vBDJYmKQgMD1A606IQvCo2Pa+FCffKJYlRHh954Q/Pn8713uGvBX//yZVWPPqrRUSWJYlR/f712xjvMtdqEL4r6Oyqvukqjo4pRnZ16/XXNm6eiYDcO7lptwpdVb9yojz+WpCSJq1fFCy9k7x2QWmzCl4v5kRHdeKMOHlRQvHhB+Od+tbcp8I5KoJUmfLkVF4KeeUYHD6qSxtgWBrrfOecfzytRonyqLxCYeq0z4csn8B98oJ7r9PkXCioumf3V+7VfVD//NDy/XStWsKwHWmfCl38rassWHf5caRoLJfcXf5h26GOd8zPNmMF5WkAtM+HLH2J4WFdeqePfFEWRXJ4e2JtfWZvVpu1/Ve9ytuABtdiE37BBx47FoBil+/P7atP+E7c8rd7lyjJqB9QawZer9f37tX27klBkRbr858PXzjoQn/izVvxWOS+7AOpaoYRytf7AAzpxQpU0TZN4x58623/5Rjbn0kqMSlvhZwQmRdPHUL6sanBQO99UkijL9Zu+0LM8Lc5akEaJ53TAdzT3kr5czI+Pa9MmHTuqENQ+M972uxPTz1IxEXkqD3xPcwdfvqNy8NVi5868UlWeZ8su+/L63iTLYqVC7sD3NXHw5Tsq/z124i8P/+vrr5Mij9Onp7//Y3vlrGoIgcU88L+aOPgYFEKx8/EPX9nbVq2GolBfn361rK3gQB1wEs168CZGKejrJ5/79W3nvRWuT1VUa8k772jhQs7UASfVnBM+RgWFN/8+eOff3grXV5Mij0l/vxYulHiJFXByTbgtF6OkIH2VdNw18UCioohhzhwNDNQP2BI8cDLNNuG//RJsjNWll1275pKQKi/CmjWaP5/FPPADmuoevjxSNzqqalUXXKAijzHsH0qefloDA1q8mC/IAD+geYIvv80+MqLeXs2bp23b1NEhcZgOOAVNcg8fo9JUo6NauVKjoxob0/CwOjpUxPI8HSt54MdohhVw+X7pw4e1erWGhjRzpjZvVk9PuYIv7+gB/BgNH3x5X37kiPr7tXu3ajU9+KBWrVKeEzpwqho7+BiVJPrmG91xh155RUmidet05531TwGCB05RAwdfPk2MUffco+eeUwi6+26tWydJrOOBn6SBH9qVu+p5rs5OzZ6tFSu0YQNna4D/R6Nuy5W1f7uxvmOHurs1a5ZE7cBP16jBSxoZUVeXJM7TAJOl8ULKMknauFHXXKNNmyQpBGWZGvaDCWgeDTbhJyZUrWrrVt1+u8bHtWSJdu1SrTbVlwW0iEaa8FmmalUvvKC1azU+rsWLtX27ajVmOzBZGmbClzfqO3bo5ps1NqauLr30krq6+AYcMIkaY8KXB2zeflu33KKxMV10kbZtU1cXx+mAydUAwZdH5Q8c0MqV+vRTnX++nnpK3d2amODhPDC5GqCocobPnavzzlN7uzZv1rJl9ft5xjswqRrjHr68Uf/ySw0Nafly7tuB06Qxgv8uagdOmwZY0n8rxvr9PIDTo/EmPIDTppEmPIDTjOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyX2u2pgp9qFs/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.('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "action": "('move', [-4.0968378985205804, -6.352778883144876, -15.272009988579518])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsUlEQVR4nO3dXahldRnH8WftveeMMuAbKFoqOpElIqh3kmGUKJQwvlaELygiTOgoaCF1UWk3aigKxoQlk82go85459ttaHhlTKgXOgoKOWihjuA4Z5+z/l2so1Gg6DTTefl9Phfn9qxz8T3PWs9ae+2utVZAhtFiHwDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CLLyg+/76vvFPghYGiaLfQAHVt/XaFRV1Vp13WIfDSy2FT7hR6N6/fV6++3qOnMeVm7wQ94vvljnnlvr19f779dopHnSrcxT+vn5Go/rtZ3twnX9qzvHr75a771Xjz5aRxzh3J5oK3DC932Nx7VrV7v4wv6VneOZmaqqd9+tvXsX+8hgsa204Ict3a632sUX9X/922gyqdnZdsrJc9u3t2OOMd5Jt6KC7/vquvrnP9pVV7Xn/jKeTLq5ufbVr/SPbRufcEI3P6920q2c4IfZ/uGHdd313VNPj2Zmam6ufflL/SOPjb5+cjdc1UO4FbK0a21hCX/zzfXww7VqVc3O1uGH9lu3jk87rdQOg5Uw4Vtb+HnLLbVxY43HNZ3WmjX9w4+Mv3FW9WqHjy374Fur4eL817e1O++s0ahaq0MOqU2bRueeW63VSO3wsa4N83F5am3hJty997QbbmyrVo36vmZm6t5765prFnZ4FnXwiWUcfGsLl+6bHmjrf9zm26ifr9bqjtvbTTd302lNJmqH/7CMgx/W8o892l9xRe2djqpV39fPf9Zuva0b/hGoHf7Lcg1+bq4mk3rqyf6Cdf3e6WQyqbm52nB9f8+9o/LZOPgUyzL44Tbbs39u55/fv7d7vGqmprPtqivbA5uW/Q4SDqjlF/xQ+wsv1Pnfnf/7rvFkUnNz7eIL+81bxqtXV9nSwadbZiNxqH3Hjrrkkvqk9vO+M//7P4xmVleV2uGzLKfgh9p37qwrrqjXXquZmZqbq2+e1R56ZHzY4V1r1S2nvwYWwbI5pR928m+91S69tJ59tjvooProozr99HriiTr6aA/PwueyPIIftu67d9f3L21PP9OtWlXTaZ10Uj35ZK1d++8X1wGfbRmEMvxH+uCDuvrqevqZbjKp6bTWrm3bt9fatVWldvi8lnorQ+3Tad14Y9u2beG6/bjj2ubN3SmneEcdfDFLOvjhTL7r6pZb2gMP1EEH1exsHXlk3X9/d+aZNZ2a7fDFLN1iPtkt/PIX7e6728xM99FHtWZN/fa+dt55C0/aAV/I0l3aDYv339zZfvLTNh6P+r4mk/rdxnbV1Z0tHeybJRr8MMA3bqz166vrajSqau2uu9qGG0aek4d9thRPi+fnazKpLVtqw4aFu+vz8+3WX9WGG0bz82Y77LslN+GH2f74tv7yK7s9e7qq6vu66aa6446Fd10Y77DPllbwQ+1PP9n/4If1/u7R8IDNtdfWffctnNirHf4XSyj4ofbnnm2XXNLe2jVavbr27m2X/aj9acuoyuN0sB8sleCHnnfsqIsuaDtf72Zmana2rftev3XbePVqL7SA/WNJBD/U/uorbd26eunlbvjQ67e/1bY/Pjr0MLXDfrP4Z8lD7W++WZdd3r30cjd8Y8xZZ7WHtqod9rNFDn54k/Q779Q119Tzz9fBB9fsbJ1xRj344Oioo8q3wcH+tZjBD++WnU7ruuvqmWfq4INrz5762km1aVN34ok1N+cj7rCfLfKEb61mZurss2vNmtqzp449tv74YJ166sKzN8D+tchLu+GXd11t3lx33123317nnOO6HQ6UJbGlHz4n88Ybdfzx7rfDAbQkgq+Pm1c7HFBLJfjyLB0ceEsoeOBAM1IhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8Ag6UyvK342qMAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsUlEQVR4nO3dXahldRnH8WftveeMMuAbKFoqOpElIqh3kmGUKJQwvlaELygiTOgoaCF1UWk3aigKxoQlk82go85459ttaHhlTKgXOgoKOWihjuA4Z5+z/l2so1Gg6DTTefl9Phfn9qxz8T3PWs9ae+2utVZAhtFiHwDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CLLyg+/76vvFPghYGiaLfQAHVt/XaFRV1Vp13WIfDSy2FT7hR6N6/fV6++3qOnMeVm7wQ94vvljnnlvr19f779dopHnSrcxT+vn5Go/rtZ3twnX9qzvHr75a771Xjz5aRxzh3J5oK3DC932Nx7VrV7v4wv6VneOZmaqqd9+tvXsX+8hgsa204Ict3a632sUX9X/922gyqdnZdsrJc9u3t2OOMd5Jt6KC7/vquvrnP9pVV7Xn/jKeTLq5ufbVr/SPbRufcEI3P6920q2c4IfZ/uGHdd313VNPj2Zmam6ufflL/SOPjb5+cjdc1UO4FbK0a21hCX/zzfXww7VqVc3O1uGH9lu3jk87rdQOg5Uw4Vtb+HnLLbVxY43HNZ3WmjX9w4+Mv3FW9WqHjy374Fur4eL817e1O++s0ahaq0MOqU2bRueeW63VSO3wsa4N83F5am3hJty997QbbmyrVo36vmZm6t5765prFnZ4FnXwiWUcfGsLl+6bHmjrf9zm26ifr9bqjtvbTTd302lNJmqH/7CMgx/W8o892l9xRe2djqpV39fPf9Zuva0b/hGoHf7Lcg1+bq4mk3rqyf6Cdf3e6WQyqbm52nB9f8+9o/LZOPgUyzL44Tbbs39u55/fv7d7vGqmprPtqivbA5uW/Q4SDqjlF/xQ+wsv1Pnfnf/7rvFkUnNz7eIL+81bxqtXV9nSwadbZiNxqH3Hjrrkkvqk9vO+M//7P4xmVleV2uGzLKfgh9p37qwrrqjXXquZmZqbq2+e1R56ZHzY4V1r1S2nvwYWwbI5pR928m+91S69tJ59tjvooProozr99HriiTr6aA/PwueyPIIftu67d9f3L21PP9OtWlXTaZ10Uj35ZK1d++8X1wGfbRmEMvxH+uCDuvrqevqZbjKp6bTWrm3bt9fatVWldvi8lnorQ+3Tad14Y9u2beG6/bjj2ubN3SmneEcdfDFLOvjhTL7r6pZb2gMP1EEH1exsHXlk3X9/d+aZNZ2a7fDFLN1iPtkt/PIX7e6728xM99FHtWZN/fa+dt55C0/aAV/I0l3aDYv339zZfvLTNh6P+r4mk/rdxnbV1Z0tHeybJRr8MMA3bqz166vrajSqau2uu9qGG0aek4d9thRPi+fnazKpLVtqw4aFu+vz8+3WX9WGG0bz82Y77LslN+GH2f74tv7yK7s9e7qq6vu66aa6446Fd10Y77DPllbwQ+1PP9n/4If1/u7R8IDNtdfWffctnNirHf4XSyj4ofbnnm2XXNLe2jVavbr27m2X/aj9acuoyuN0sB8sleCHnnfsqIsuaDtf72Zmana2rftev3XbePVqL7SA/WNJBD/U/uorbd26eunlbvjQ67e/1bY/Pjr0MLXDfrP4Z8lD7W++WZdd3r30cjd8Y8xZZ7WHtqod9rNFDn54k/Q779Q119Tzz9fBB9fsbJ1xRj344Oioo8q3wcH+tZjBD++WnU7ruuvqmWfq4INrz5762km1aVN34ok1N+cj7rCfLfKEb61mZurss2vNmtqzp449tv74YJ166sKzN8D+tchLu+GXd11t3lx33123317nnOO6HQ6UJbGlHz4n88Ybdfzx7rfDAbQkgq+Pm1c7HFBLJfjyLB0ceEsoeOBAM1IhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8Ag6UyvK342qMAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e031bc4aca08fa9e23791661dc0fe1d65525f926bdbf034b3e19b335b769452f"} +{"episode": 85868, "episode_seed": 658812730, "split": "train", "timestamp": "2025-09-16T00:21:17.681134", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 658812730, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "action": "('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAII0lEQVR4nO3cvW5c1R7G4f+Mxx8TR0K2IUhQQUMTOiSEBEgRNQVVEEKiQtBxFxQU9FxAbgHR0cBNQIciUxDsOB8eOx7Pptg7M7ZzODoc4ky03+fRFPNlazW/WWvtmb0HTdMUkGG47AEAz47gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjg4YymWfYILtdo2QOA58lg0N25UP78+SdfvfDS823Q9P0jDf6BP/6o8biuXv23/6dp/vYjY6kfEIKHxzP2dFrvvVe//FIbG7W1VS++WDs79dJLtblZb79dN29W09RgUH/+WUdHdeVKDYe1snLu9k9Np4v7KyvP4LPAkh6qqmowqPv36+Cg9verqn7//dyrN27UzZt1elqjUX39dX37bY3HtbNTOzu1vV3b27W1Vdeu1Vdf1bVr1TR17179+muNRrW+vritrdXGRq2uLsIePesABQ+Pjcf1zTf122/14EEdHNTdu/XgQR0d1f5+vfvu4m3HxzUc1mRSt2/X7dvn/sOnn9a1azUY1I8/1kcf1WBQOzv1wgvnbp99Vjdu1GxWw2F9/30dHtb2dg2H9eabtbPTLSIujeDh8b56PK4PP/wPr04m3Z12Qv7yy/rgg5pM6sGDeviwDg7q/v26e7c2N2tnp3vncFirq3VyUnfu1J075/7bW2/VjRtVVdNpff557e7W9nZNp/Xdd/Xxx90i4tIIHs6YTrv9fHvUrd2lj8fn3nP9el2/fvEPT0/r5KTW1rqH779fP/9c02lNJnXvXu3t1d27tb9f+/v1zjtVVcNh3btXL79cu7u1t1dV3Vbiko+pOWgH/9U8kPlKezar2Wzx/HBYw+H/ug4/PV28eTarvb06Pq7j49rdrddfr1deuewlveDhX3vyQ6FpajZbPNnengOCh+V55j/gsYeH5Xnm077f0kMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwcM5TVOz2bIHcWlGyx4APF9u3aoffqjNzXrttfrii9raqqapwWDZw3pKBA+dNuyffqpbt6qq3nijPvlE8NBrJyc1HFZVbW/X2tqyR/O0CR7Oefiw28OvrdVoVFX9md7LQTu44PCwu7O+3gXfJ4KHcx4+7O6Mx4KHvpvP8Bsbgoe+O7ukX11d6lAugeDhnMmku7OxUSsrSx3KJRA8nDPfw29sVFU1zRLH8vQJHjrt12+PHnUPBQ899+jR4of08+B9Dw/9dHi4KLwNvmcn0ggeqh4v3SeTms264NfXlzuiSyF4WGiDb+MXPPRcu6Rv9e/MmRI8nNUGb4aHnmsjN8NDkMPD7rD8YNAF36fv5ErwcFZ70K6q1tYs6aG/Lizp19Ys6aHvJpNF8GZ46Ln5DL+6ag8PfXd2D29JD711YQ+/vm5JD303v/rF6moXvCU99Nb8+laW9NB/T87wPSN4WDg7w/fvCpYleGjNz4dvzb+Ht4eH3rKHhyBnZ/jV1b5dwbIED6126X5y0j1sp/eeXdCuBA+tNvjT0+5he8RO8NBDTVPDYZ2e1nTaPdPO8D27RnUJHlqDQR0dLWb4Xh6xK8FDPf5O7uhoMcO3F6XvH8FDR/AQZDJZLOnH46UO5dIIHv52Sd+zI3YleJg7e9DOkh56bjLpZvjh0JIe+m4+w6+smOGhv+anyrUz/GhkDw99d3zczfCjkSU99N3hYR0dVVUNBv08Gb4ED3Pr6/Xqq7W5WVev1pUryx7N5Rg0/TvlF/4vs1nNZtU0NZvVaFQrK8se0CUQPASxpIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgfwEyGqHuAr2BJwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "action": "('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "action": "('move', [0.46463475587833686, 1.661748145815318, -30.671660092027462])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGQUlEQVR4nO3bQY4TVx7A4b9tupugCaG7yWoWc4wscqJIOU6UG+QuLEeTSwQNNAHcoQds1yzoAUIIijQiEP2+T0+lkmWXyovfe88lebUsywAN6499A8CfR/AQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyI2PfQPwSTgcZr+f1cysZmZWv3P8q1sty/Kx7wH+Mv5gLp/s7GCFp+5wmPV6vvtufvhh/vH33ee35/zLzdn56uxs3hzn5/PZZ/9Xycvyjvni1QX/nDlC8KQty6zXMzM//jj37s292czMzGq1ms1mNutZb2azmfV6btyYo6M5PZ27Z4fz8+X8y83p6dy9O+fnr8fZ2dy8OZvN22OuL/rxV37Bwzx/Pvfvvzy9LnJZZreb3cuXVrNazeEwMy/f9r5H3cfH/9sRnC2nZ6vz8zk9vZ4LXp58/vncvDknJ3N8PCcn1+PoaE5O/ozpQPAwh8N89dU8ezZXV/P06VxezvZyfrmcX7aH57tlWVbL8ruRr1az3sxm/fpS9+/PTz/Nq7njN5aZ1RdfzO3bc+fO3Lkzd+/Oycl8++18/fXs9693BB+Ch3Zw7fnzubyc7Xa223m6ncvtbJ8etk+Wp5er7eX6yZN5/HgeP543T35+tDx+tL96MTOb3y/8ekZ4uVNYltnvZ79/+z3ffz/ffDMvXszR0Qf8jlZ4mJlZljk+nuPjOT198+W3F/bDYa6ufj2era+ezdV/5snTubi4Ho8eXR8fXSwX/95fXCw/b9cz7167j47mxYs5Pv5QX+1Ngodrr56i//Y4M+v19bh1a27devWh1TsX9v1+drvZ72f3YrXbbXa72e3m8pe5uJgHD64nhYcP5+HDefBgto/3//rn/vbfbsysP/TPeFt6+KPebOXV+auTlzv2j/4c/v0EDx/Ee8L6iJOCLT18EJ/mUu/PMxAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwXA+r0bs0a4W0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGQUlEQVR4nO3bQY4TVx7A4b9tupugCaG7yWoWc4wscqJIOU6UG+QuLEeTSwQNNAHcoQds1yzoAUIIijQiEP2+T0+lkmWXyovfe88lebUsywAN6499A8CfR/AQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyI2PfQPwSTgcZr+f1cysZmZWv3P8q1sty/Kx7wH+Mv5gLp/s7GCFp+5wmPV6vvtufvhh/vH33ee35/zLzdn56uxs3hzn5/PZZ/9Xycvyjvni1QX/nDlC8KQty6zXMzM//jj37s292czMzGq1ms1mNutZb2azmfV6btyYo6M5PZ27Z4fz8+X8y83p6dy9O+fnr8fZ2dy8OZvN22OuL/rxV37Bwzx/Pvfvvzy9LnJZZreb3cuXVrNazeEwMy/f9r5H3cfH/9sRnC2nZ6vz8zk9vZ4LXp58/vncvDknJ3N8PCcn1+PoaE5O/ozpQPAwh8N89dU8ezZXV/P06VxezvZyfrmcX7aH57tlWVbL8ruRr1az3sxm/fpS9+/PTz/Nq7njN5aZ1RdfzO3bc+fO3Lkzd+/Oycl8++18/fXs9693BB+Ch3Zw7fnzubyc7Xa223m6ncvtbJ8etk+Wp5er7eX6yZN5/HgeP543T35+tDx+tL96MTOb3y/8ekZ4uVNYltnvZ79/+z3ffz/ffDMvXszR0Qf8jlZ4mJlZljk+nuPjOT198+W3F/bDYa6ufj2era+ezdV/5snTubi4Ho8eXR8fXSwX/95fXCw/b9cz7167j47mxYs5Pv5QX+1Ngodrr56i//Y4M+v19bh1a27devWh1TsX9v1+drvZ72f3YrXbbXa72e3m8pe5uJgHD64nhYcP5+HDefBgto/3//rn/vbfbsysP/TPeFt6+KPebOXV+auTlzv2j/4c/v0EDx/Ee8L6iJOCLT18EJ/mUu/PMxAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwXA+r0bs0a4W0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2651ca1c9f953f4ac17fb6df03704b8227d345b5cb3d4e29eaf651064b75b601"} +{"episode": 85869, "episode_seed": 2328649552, "split": "train", "timestamp": "2025-09-16T00:21:18.293883", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2328649552, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "action": "('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "action": "('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALU0lEQVR4nO3dX2iVdRzH8c/znLP8k2a0DJUoLUzKJMU5TROiCV1IxdAuSgUNw7IuhkhieRFBCv0RKfIihZxWFKXSElHLi1WS0zQFKSukUFgpNlQ0nTvnPF08v5yhlu5snuM+79eV7sydB7f3+T5/fudZlCSJAHiIS70BAK4eggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCH48pUkSpJSbwS6l2ypNwAXlySKolJvBLodJnyZiiK1turQIUnMeXQagi9Hp0+roUFVVZo+XUeOSFKhUOptQrdA8OUln5ekd97RY49p3z599ZUaGhRFDHl0DoIvL3EsSVOnqrIy/HnlSrW0KJNhyKMTEHx5SYf54MGaMUOFgrJZNTXpiy/CQ0CRooSdxTKTfkMOHtSIETp1Skmiqio1NqpXL07do1hM+LITRYoi3X67nn5ahYIyGe3cqU2bwkNAMZjw5ahQUBzrhx80dqz++kuFgqqq1NQUXguADmPCl6P0SH7YMM2eHeL/7jutX68o4tQdikLw5SiKlM8rk9GTT6p///DBZcvU1iaxDgdFIPgylc0ql9OoUXr00TDkd+7U558rjpXLlXrjcM0i+LKWzWrmTPXvryRRa6tWrAiTnyGPjiH48pUO+Qce0IMPSlIUqbFRGzYojsOCPOBKEXxZSxfbzZ+v3r0VRTp9WvX1OnOGhXfoIIIva3GsJFF1tWpqwjX5TZv0zTdcnEMHEXy5Sy/FLVoU/nr6tFauVGtreC0ArgjBXwPiWGPGqLZW+bwqKrRunfbuLfU24dpE8NeAdJLPnx8O6dva9OabEittceUI/gJJolyu3M6JJYlGjdKUKWprUyajTz7R99+rUGCvHleG4C8QRcpmwwKX8ugpPYzv1UuzZoXT9UmiV18NAx+4fPzInCfN+9QpffaZmpuVzZbPvWbiWIWCJk7UpEnK5RTH2rxZu3aFRbjAZSL486TpfPmlnnhCkyZp8WIdO9Z+oFzS8tMh36ePpk/X9dcrSXTqlJYuDdtVHi9KuAYQ/HnSXeT9+3X2rH78US+9pFGjtHhxuI9kqU+RZTLK5VRbqzFjQuFbt2r7dmWz5XbCAeWL4M+T7jcvWKCmJk2Zoptu0m+/heyXLNGBA+2fWYrC0hecbFZz56qiQnGsw4dVX698ngmPy8UNMC5t2za9+642bQoTvqpKO3aEo/r00DmKrv55s/TbNW6cdu5UFOmWW7Rhg0aPDm+qAf4bE/5i0itzEyaovl6ffqq6OvXrpxkz2mv/809lMmGP4Oq+YqbP/8ILShLFsf74Qx9/rFyufE4voqwx4S8tn1ehoIoKSdqxQ/feq549FUU6ckSzZ6tPH734okaMCJ+c/jdereP8XE5jx2r3bmUy6ttXO3Zo6FBucYn/x4S/tExGFRVhEU51tXr3Drvxa9dqwwZ99JEeekjTp2vfPklX83ZzSaJsVgsXSlIc69gxrVwZNgH4b0z4y5Ak4aYz6W50c7PeflsffqiDByWpZ09Nnaq6Oo0YoeuuuzqbI+nECT38sJqaFMfq3Vs//aQBA1iKg//BD8hliCJlMu2n6AYN0pIlamrSokUaPlxnzuj991VdrTlz1Noa/kku13V3okoP1/v109y5YaNOntTSpbx/Dv+PCd8h6cCXdOiQ1qzRunXatUsjR2r7dvXo0f5oevWuC8Zu+gxHj2ry5HDp4OabtWePBg6U2LfHpRF8R6Vn8tNTegcPav16VVfr/vvD9bE33tDAgZo2rf2T1ckhps+zfLmeey68pMybp9dfVy6nbLYTnwfdCsEXp1AIb1JP5fOKY+3Zo4kTdfasxo/XvHl65JGQeqdmXygoitTSokmTtGePJN15p7Zs0ZAh4d44wIU4hi9OHKuiQoVC+wX5KNLJk7rrLuXzamxUba0mTFBDg06c6Nwz+enb+SorNW1aOMlw4IBWr+aXVeC/MOG7zKpVWrFC334bXggmTFBdnWpqdOON0j/TvrjD+/RrtLRo/Hj98oskDRumjRs1ZAgL73BxTPgukL5/beZMbdum997T5MmKIm3bphkzdPx4+IQ4Lv520+kwr6zUrFnhS+7fr/Xrw0PAhZjwXebcYvvWVm3cqDVrdOuteuutMHx//lmVlaqslFTkErkk0YkTGj5czc2KIt1xh77+WgMGtF8rAM4h+K50/pn8kyeVz+uGG8IsrqlRc7NmztQzz6hfv+Kf6rXXtGBB+N0Vy5fr2WdZaYuLIPiulyTK58O1snS8b9+uyZPV0iJJgwdrzhw99ZQqKxXHHWg0/QYePar77tPhw5I0ZIh271bfvhL79vg39vm6XnqTvPTAPv29cOPGqaGh/S33Cxdq5EgdPtyxOtN/1L+/6urCBbkDB/TBB6SOi2DCl1Rjo1av1tq1Gj1amzd3eMVMut/w66+aOFG//65CQUOHau/e8O4+4ByCL5HzV+xs3apBg3T33UV+vSjSK6/o5ZfDkcGyZXr+ea7P4V/YpS+RdMVOPq9cTjU1Rdauf870P/64Bg8OLyZbtnTKhqJbIfiSymTCifWiF8dlMmpr0z33qLZWt92m+nqtWhU+DpzDLn33kQ7548fVs6d69Cj11qAsEXy3xXV4XIhd+m6L2nEhggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/A2LLdybXs0WWQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "action": "('move', [-24.274081134833207, -5.799466703686811, 38.142846401548034])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4c205567e426570bee31850519557ecf4c0b323e0901864c1b35c72ae2c7c018"} +{"episode": 85870, "episode_seed": 2266151726, "split": "train", "timestamp": "2025-09-16T00:21:18.902449", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2266151726, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "action": "('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnklEQVR4nO3dSchdZx3H8d+5931rxTpVQ9W2C01ALKWlKBqIQ+1gm4pGHBY1rRUFN4VSRRQ3irjRlQhdFBe2dNBCjTMtqNEKaholqFiCaIKhlbQ1iFMah7z3HhfntHVKmvfNq/ec/D8fssldPVzu932e85ypads2QA2TRQ8A+P8RPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IEzymibdO2ix7E4C0tegCwPppm0SMYAzM8o9dN7Pv25cCBBY9k+ATPuLVtmiZHjuSDH8ymTbnmmtx336LHNGCW9IxbF/zevdm5M7NZ7rwzs1kuvrj/nH9jhmfcmiZtm/vuy+HDOe20JLnhhkWPacAEz4h10/hjj+XOO5Pk6NG87GW58MLEHt4xCJ5xa9s88EB+9rMsL6dt86535elPX/SYBkzwjFjTpGly++1p28znWVrKlVemaTKfL3pkQyV4xu3IkezY0Ue+dWs2bkys549N8IzVfJ62zde/nkOHMpmkbbN1a575zMxmgj8mp+UYq7bNZJI77ugX8GefnS1bFj2mwTPDM0rzeSaT7N+fPXv6Ty6+OOedl9ks0+lCRzZsgmeUunX7jh155JEkWV7OpZdmacl23VMQPOPTtplO8/e/51vf6i+k37gxV16Zts2Sg9TjEjzjM5tlMsmuXfnJT/r9uc2b88IXZmXFdt1TEDzj01X93e/md79LktNPz/bt/bTP8QmekZnPM53m0KF8+9v9hfQvfnFe97p+057j8w0xMt1B+09/mvvv7wt/+9uzvGwxf0IEz8hMp5nNcu+9mc36/15zjYdbnSjBMyZd2IcOZceOTCaZz/Pa12bTpv6iep6S4BmTrurdu/Pgg/3tce9+d39dLSdC8IzPbbelaXL0aDZsyKtfvejRjIrgGY1uGn/44dx7b3973JvelHPPXfSwRkXwjEYX/F135S9/SdNkMslVV2V52fU2qyB4xmQ+z113JclslgsuyKtelcTp91XwVTEO3e1xe/bkF7/oP3n963POOf1ltpwgXxXj0J11//zn8+c/J8mznpVLLvF6qVUTPCPQPa/u97/P97/fF37eebn8ctfPr5rgGYH5PE2T73wne/cmyWSSSy7J057maVarJnjGYTbLzp05ciRNk2c/O1dfbXpfC8EzdLNZlpZy4EB27kySts355+f8890etxa+MMZh9+788pf9lL59u0dZrZEHAjFo3br9r3/NPff0/z3jjLztbeb2NfK1MWjdnvxDD+UrX+lvj9u2Lc9//qKHNVqCZ9C6Z9rs3JnHHuvX89dem8Tp9zUSPIPW3SRzyy1JcvRoXvKSvOIVix7TmAme4eqm8QceyI9/3D9/+p3vzHOe078lmjUQPEN3xx39y2FPOy2XXprp1Bb92gme4WqazGZPvhx2y5ZccEHi9riT4JtjoGaz/uWwBw/2C/jLL8+ZZ7r7/aQ4D89AdQfqd9+dv/0tSV7wglx22aLHNH5meIaoe9vEwYPZvbv/5OUvz0UXeTnsyRI8Q9St27/61Tz4YJIsL+eKK/qXw1rPnwzBMzht2z+C+nvfy8pKkpx1Vt76Vi+HXQeCZ3C6aXzXrnzjG33kmzfn7LPd/b4OBM9AtW0uuijPfW5WVnLddYmzceuhaV2UzPA8cS3dN7+Z++/Phz6U009f9JhOCYJnoLrL6czq60vwDFfb9pffLC05el8fgodCLJigEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChH84+bzJGnbRY8D/ocE/7jJJEmapi8fTkWCf3xWf/TRfOQj2bs3k4nmOVU1bfFFbNumbdM0ectb8rWv5ZWvzJe+lBe9KG3bz/lwCin/m26a/t8b3pDl5fzoR7nxxhw+nKZxPM+pp3zwSZomSa6/Ph/9aJJ88Yv5+MezspLYw+NUU35J/4RubX/99bn55iS59dZcd92ixwTrbGnRAxiM7qD9k5/MQw/lt7/N5s39n4DEwTynDDP8P+l27x5+OEtL2bAh83mfevc5jJ/g/9UTbXe1//GPeeSRvPSlT8YPY+ZH/K+6C2+6vH/961xxRd7znvzmN5lMMpstenBwsgT/HyaTfpL/+c+ze3d++MN84AM5ciTTqU17xk7w/00X/JvfnE99KpNJ7r47H/7wk3t4MFqCP4Yu7/e/P+97X5LcdFMfv4U9Y2bT7ti6K+r/9Kds35577snSUj73uVx7rU17xkvwxzWbZTrNoUPZujV79uSMM3L77dm2LfN5ptNFDw5WzZL+uKbTzGbZsCFf+ELOPTeHD+fRR/udfH8oGSEz/AnoztL94Ac5eDDveEe/1O9W9db2jIrgT8x/PW53NQ5j4/d6Yrq7ZZ9YyX/mM7nhBo/KYHTcPHPCmiYrK1lezpe/nBtvTJLnPS8f+5h5nhHxS12Nbg/vNa/Jtm1J8olP5LOfzWTS3zwPg+cYfpW6g/k//CFXXZVdu3LmmbnttrzxjVlZyZLlEkMn+NXrmt+3L1u3Zt++bNyYHTty4YXW9gyfH+jqdRt4mzbl1ltz1lnZvz/vfW8OHMhk4uQ8Ayf4NWmazGbZsiWf/nSe8Yzs2ZNbbuk/hwFz2LlWk0mOHs3VV+dXv8r+/f09Ni6zZ9gcw5+Ef3s8Dgye4NeJuZ0xMC+tE7UzBoKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4X8A+aGlMWNHj88AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "action": "('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "action": "('move', [-16.437803574996995, -15.63148079835041, 30.221287679140215])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKB0lEQVR4nO3dzYudZ8HH8d85Z6ZS0lZjaUJD61sqsa1t3CiCiDulCtaNCxERFNwUpLoRN4p0U1ciuBAXWlRw4Ru46H+golCQqU3QJO1IY9pkFqZhrNiZOedZ3HfS+jwqjfbJyZzf50MWmXt1wZzvua77mvtlslgsAnSYLnsAwLUjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgi+BaLRebzLBbLHgdLJfjVN59nZyeTSabTTCbLHg1LJfjVN51mfT07O3nuufztb0nM873Wlj0A/h/N55lO89RT+eEP88c/ZmsrjzySD3wg83lms2UPjmUQ/CobZvI//zmPPjoeOXlS8NUs6VfZdJok7353jhzJ2lpms/zpT0mcyfcS/CqbTDKf5+DBvOEN2d3N3l7OnMnf/561NafxpQRf4fjx8T9PP50LFxL7dq0Ev+KG1fv9948/njo1Bk8nwVcYgl9by6VLZvhqgl9xwww/LOknk0wmOXUqubyfRxu/9gq33po3vSm7u1ks8tRT2d3NZGKSbyT4CuvrOX58LPzEiWxvL3tALIngK8xmue++JJlM8vvf569/XfaAWBLBr75hYh/27dbXc/FitraWOyKWRvCrbwj+2LHxx2GSj+vtKgl+9Q1hHzyY22/PSy9lscjvfrfkIbEsgm/x+tfn7rvH/29s2KIvJfgWN9+cd7wjSSaTbGxkd3fZA2IZBL/6JpPs7WU2yz33JMlslq2tnD2buN6uj+ArDGG/+c1JxifbOY3vJPgKw77d7bfn0KEx+CefTMzwfQRf4Urwb33reGSY4QXfRvAVhivnDx3KW94yHjl5cjxOFcFXmEyyu5u1tZeDv3gx585lOs18vsyBcY0JvsWwer+ypH/xxfF6O6v6KoJvMdwAf/RoDh5Mku3tcVUv+CqCbzEEf9ddOXw4SeZzM3wjwbcY9u3uvDOHDo1Hnnkmi4VH33Tx224xmWRnJ7NZ7rhjPHLhQs6fz2xm366I4IsMk/k994x/jdvaypkzSQRfRPBFhs7vvjs33pgkFy7k6acTp/FNBF9kCP6++3LgQJLM5+MML/gegi8y7NsdPZpbbhmPbG5mPvfmqSKCLzK8am46zdveNh7Z3Mxf/mKjvohfdZdXvpciyeZmzp1L7NvVEHyXV75qbjrN2bN5/vnEaXwNwTd617synWY6zd5enn02cdtcDcF3GcJ++9tz003jMv7kySwWmc2WOy6uEcE3et3r8s53jsH/4Q/ji2is6hsIvtFkMr55KsmJE3nhhUTwHQRfatioX1vL5mYuXVr2aLhWBF9nmMmH4Gez7O2N19vZt2sg+FJ33JEbbhhfRzE8wVbwDQRf6sCB3Htv9vaSZGPDhTctBF/q5pvHF9Ek2djIzs5SR8O1Ivg6wy00N9yQe+/NZJK1tZw+ne3tZQ+La0LwjYYF/LFjWSyyt5eXXsrGRuIvcwXWlj0AlubIkdx4Y2az3HLLeAsNK2+y8K3eZ7HIZJKtrTz+eA4fzv3358iRZY+Ja0LwJJe/Alh5lvS9hhP4ySTTqdpbmOGhiF16KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCL4y4YHO3o6ACtN8JdNp0kymXgnAytM8Jdn9fPn8+Uv58SJTKeaZ1XVP+JqsRgf4Pixj+UXv8h73pOf/SxHjmSxGOd8WCH1n+nJZPz3wQ9mfT2//W0efjjb2+P7WWC11Aefy69NfeihfOUrSfKTn+RrXxvfq6p5Vkv9kv6KYW3/0EP59reT5LHH8ulPL3tM8BrzXPrLhpP2Rx/Ns8/mwoW8973jV0DiZJ6VYYZ/hWH37rnnsraW227LfD6m7rUsrArB/6MrbQ+1v/BCnn8+x469HD/sZz7E/2i48GbI+5ln8qEP5TOfydmzmU6zt7fswcF/S/D/x5U3rT35ZH7zm/zqV/niF/Pii5nNbNqz3wn+nxmC/+hH8/WvZzrNj3+cL33p5T082LcE/y8MeX/hC/nc55LkW98a47ewZz+zafevDVfUX7qUT34yjz+etbV897v51Kds2rN/Cf7f2tvLbJatrTzwQJ54IjfdlB/8IA8+mPk8s9myBwdXzZL+35rNsreX227Lj36UO+/M9nbOnx938n1Rsg+Z4V+F4a90v/xlzp3Lxz8+LvWHVb21PfuK4F+df3re7moc9huf11dnuFv2ykr+m9/M5z/vURnsO26eedUmk+zuZn09P/95Hn44SW69NV/9qnmefcQn9WoMe3jvf38efDBJHnkk3/lOptPx5nm47jmHv0rDyfzFi/nwh/PrX+eNb8z3v5+PfCS7u1mzXOJ6J/irNzR/+nQeeCCnT+fo0fz0pzl+3Nqe658P6NUbNvDuuiuPPZbDh3PmTD772WxuZjr1x3muc4L/j0wm2dvL+96Xb3wjBw7kiSfyve+Nx+E65rTzPzWdZmcnn/hETp3KmTPjPTYus+f65hz+v/C/Ho8D1z3Bv0bM7ewH5qXXiNrZDwQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4HEblWGckJXQIAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cffea065408d4d1039c57d1ee9a4594acc962184cd9b08adac49b7670ea8827f"} +{"episode": 85871, "episode_seed": 1191073278, "split": "train", "timestamp": "2025-09-16T00:21:19.841848", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1191073278, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "action": "('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "action": "('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "action": "('move', [-8.821709933878566, -10.194084917937525, 4.022862571164524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "623c5d949578b24a81465a60beec6737ca1e5b14f54e939e103b1fbd63583822"} +{"episode": 85872, "episode_seed": 862148350, "split": "train", "timestamp": "2025-09-16T00:21:20.461235", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 862148350, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "action": "('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "action": "('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKlklEQVR4nO3da4iVdQLH8d9zmRlqsM0IMdjUF7lFQ4vZBSqy1V5UWNHYeMHFjNpWWy9b0Iturqy7Bcu+KCrdErusRogpWbJiQ6i5+SJYiLCxiYq2LRCzdpwtHeec8zz/ffE86+bq1DFqz5z5fT+vBg4DDwzf+f/P/3JOFEIQAA9xox8AwP8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4K4fifMDIRvLs8VxQpz6UsUxQ1+nHwwyJ4a3muONbBg4pj1ZJE1aqyrNEPhR8Qwfsqan/rLXV1hW0vH07//Fht4WLt3asQyH6kShv9AGiMPJeknh79fG54t1dvvZE9Obh9pl7OJ/00uuACZvYjFSO8o2JtLo61Zo3e7Y3aWqN/Vkfd2v7Sn9Jfxi+vj/r7Q5yU/xIwshC8oyhSFCkE3Xuvuro0WFGqcOSwloQnVuy8TO/siSJlOcP8CBQFdmJchaAoUpZpwQI9/bRiBSVRnmnRz3r+uPmcU37UlmVKkkY/Jb5XjPC+ikE+SbRmje67T1ES5VmIE63c2THvF2379ytJVKs1+inxvWKEdxeCQlAc69FHdf8DGjisliRUs2jKFK1Zo4kTVaspZW13pCB4KARlNaUtWr+u+qtfp30Ho7ZWDQ6qo0Nr12ryZDG3HzGY0kNRpCRVrZLPmZdsuuuNH4d/DA6qtTX09Oj667Vzp5KknAig2THCo1TO7aPKnreTWXPi3vfy1jSq1OL2dq1dqxkzyuA5fdvUGOFRiiLFsULUesGk5NVt4bJpSaUWtyQ6dEgzZ+qpp8rU2Z5vagSPY0RSCBo3IX7l/r/d+JP3qllI01zSwoVaseJrN23QnAgexwohipT95rdnLux8/pI/3L40qtVCFKmlRcuXa/FiHTmiOKb5ZkXwOIEkq2QffDrqzZ0rF7z7wO+SLMuqVaWpnnxSc+eqr4/mmxXB40QWLUra2/MP/t6247XfP6jHHwktabkhv3mzbrhBn36qOOZOXfMheByrWJobM0adnXGk8Mpf9K/+xXelL7wQzjhDtZpaWrR7t665Rj09HMVrPgSP4+S50lSzZyuE6K+79PaeIHXNDBs3atw4VatqadHevZo+Xa+/rjRVlrFF3zQIHkO46CJ1dGhgQN2vKs+zWjR1ati8WeefXzb/8ceaNUsbN3Isp5kQPI5TrMiNGaOuLkl67rnoiy+SNKpVdeGF2rpVl1+ualVJos8+0223adUqxXF5FQfDHMHjRIprdFOn6vTTdeCA3n9fKmfv48dryxbdeGN5wP7LL7V0qZYtk8QWfRPgaC1OpLgr39+vHTs0aZLGj5fK9byi88FBLV2q1auVpuW63R136JFH1N7OTZthjeBRh2Jd7j+3ZItPvwxBy5fr4YfLgT3P1dmp1at15pk0P3wRPL5REfdxjt6iX7lSd9+tWq3copsyRevWady4oX4PDcbfBEMrmu7r06pVuvNODQwcfaX4VLws06JFev55tbeXW/S7dmn6dL3zTjkFwHDDCI+hFcP0rl269loNDOill3TTTV//BJwQlOdKEm3frrlztX+/WltVqejss7Vuna66qrxsw43a4YMRHkMrhukrrtCECYpjbdr0P6N2FClJlGWaNk1bt+q881SpqK1Nn3yizk69+GK5wceYMnwQPL5NkuiWW5Tn2r1bvb3l7tyxr2eZJk/Wli268koNDqqtTX19mjdPTzxRvkrzwwTBow5z5ujUU/XRR+rulk7wJbNF1eecow0bdPPNGhxUS4sqFS1ZogcfVJpyFG+4IHh8o+L994QJuu46RZFee039/eVh2mMVzY8dq2ef1cKFqlbLj9B56CEtWFDu69N8wxE8vk0xOs+frxC0fbv27BnqSF2SKM81apQef1zLlpWb82mq1as1e7a++ormG4/gUYco0iWX6Nxzdfiwtm2TNNTBmmKZL021YoUee0ytrarV1NqqTZs0fbr27eP4bYMRPOozdqxuv12XXqqOjm9OthjGQ9CSJXrmGY0erUpFkvbv14EDjPANxj486lC8BR8YUFvbf4/UfNv2enHAtrtbt96qWk1bt+riizl122AEj5Nx9KhNfYq833xThw5p2jTO2zYewaNuRwf2zz9Xkmj06Hp+6ejBPMb24YD/t6hPMauv1XTPPZo4UStXSnV9K0VxTudkpgX4ARE86lPUXny01cGDWr++XIurQ5Iwkx8u+DugbsUq3fz5amvThx+qu7u8MYfmQfCoW3EV5uqrNXGijhzRhg2cpGk6BI+6FXmfcopmzJCkHTvU21seqUWTIHicjGITfv58nXaaJk2SxH335sK2HL6Tfft01lmNfgicNIIHjDClx3fCONGcCB7fCe/bmxPBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5N/X28krxrzmawAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "action": "('move', [-0.7466418698665155, -0.46989544341599276, -27.30739807703655])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKlklEQVR4nO3da4iVdQLH8d9zmRlqsM0IMdjUF7lFQ4vZBSqy1V5UWNHYeMHFjNpWWy9b0Iturqy7Bcu+KCrdErusRogpWbJiQ6i5+SJYiLCxiYq2LRCzdpwtHeec8zz/ffE86+bq1DFqz5z5fT+vBg4DDwzf+f/P/3JOFEIQAA9xox8AwP8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4K4fifMDIRvLs8VxQpz6UsUxQ1+nHwwyJ4a3muONbBg4pj1ZJE1aqyrNEPhR8Qwfsqan/rLXV1hW0vH07//Fht4WLt3asQyH6kShv9AGiMPJeknh79fG54t1dvvZE9Obh9pl7OJ/00uuACZvYjFSO8o2JtLo61Zo3e7Y3aWqN/Vkfd2v7Sn9Jfxi+vj/r7Q5yU/xIwshC8oyhSFCkE3Xuvuro0WFGqcOSwloQnVuy8TO/siSJlOcP8CBQFdmJchaAoUpZpwQI9/bRiBSVRnmnRz3r+uPmcU37UlmVKkkY/Jb5XjPC+ikE+SbRmje67T1ES5VmIE63c2THvF2379ytJVKs1+inxvWKEdxeCQlAc69FHdf8DGjisliRUs2jKFK1Zo4kTVaspZW13pCB4KARlNaUtWr+u+qtfp30Ho7ZWDQ6qo0Nr12ryZDG3HzGY0kNRpCRVrZLPmZdsuuuNH4d/DA6qtTX09Oj667Vzp5KknAig2THCo1TO7aPKnreTWXPi3vfy1jSq1OL2dq1dqxkzyuA5fdvUGOFRiiLFsULUesGk5NVt4bJpSaUWtyQ6dEgzZ+qpp8rU2Z5vagSPY0RSCBo3IX7l/r/d+JP3qllI01zSwoVaseJrN23QnAgexwohipT95rdnLux8/pI/3L40qtVCFKmlRcuXa/FiHTmiOKb5ZkXwOIEkq2QffDrqzZ0rF7z7wO+SLMuqVaWpnnxSc+eqr4/mmxXB40QWLUra2/MP/t6247XfP6jHHwktabkhv3mzbrhBn36qOOZOXfMheByrWJobM0adnXGk8Mpf9K/+xXelL7wQzjhDtZpaWrR7t665Rj09HMVrPgSP4+S50lSzZyuE6K+79PaeIHXNDBs3atw4VatqadHevZo+Xa+/rjRVlrFF3zQIHkO46CJ1dGhgQN2vKs+zWjR1ati8WeefXzb/8ceaNUsbN3Isp5kQPI5TrMiNGaOuLkl67rnoiy+SNKpVdeGF2rpVl1+ualVJos8+0223adUqxXF5FQfDHMHjRIprdFOn6vTTdeCA3n9fKmfv48dryxbdeGN5wP7LL7V0qZYtk8QWfRPgaC1OpLgr39+vHTs0aZLGj5fK9byi88FBLV2q1auVpuW63R136JFH1N7OTZthjeBRh2Jd7j+3ZItPvwxBy5fr4YfLgT3P1dmp1at15pk0P3wRPL5REfdxjt6iX7lSd9+tWq3copsyRevWady4oX4PDcbfBEMrmu7r06pVuvNODQwcfaX4VLws06JFev55tbeXW/S7dmn6dL3zTjkFwHDDCI+hFcP0rl269loNDOill3TTTV//BJwQlOdKEm3frrlztX+/WltVqejss7Vuna66qrxsw43a4YMRHkMrhukrrtCECYpjbdr0P6N2FClJlGWaNk1bt+q881SpqK1Nn3yizk69+GK5wceYMnwQPL5NkuiWW5Tn2r1bvb3l7tyxr2eZJk/Wli268koNDqqtTX19mjdPTzxRvkrzwwTBow5z5ujUU/XRR+rulk7wJbNF1eecow0bdPPNGhxUS4sqFS1ZogcfVJpyFG+4IHh8o+L994QJuu46RZFee039/eVh2mMVzY8dq2ef1cKFqlbLj9B56CEtWFDu69N8wxE8vk0xOs+frxC0fbv27BnqSF2SKM81apQef1zLlpWb82mq1as1e7a++ormG4/gUYco0iWX6Nxzdfiwtm2TNNTBmmKZL021YoUee0ytrarV1NqqTZs0fbr27eP4bYMRPOozdqxuv12XXqqOjm9OthjGQ9CSJXrmGY0erUpFkvbv14EDjPANxj486lC8BR8YUFvbf4/UfNv2enHAtrtbt96qWk1bt+riizl122AEj5Nx9KhNfYq833xThw5p2jTO2zYewaNuRwf2zz9Xkmj06Hp+6ejBPMb24YD/t6hPMauv1XTPPZo4UStXSnV9K0VxTudkpgX4ARE86lPUXny01cGDWr++XIurQ5Iwkx8u+DugbsUq3fz5amvThx+qu7u8MYfmQfCoW3EV5uqrNXGijhzRhg2cpGk6BI+6FXmfcopmzJCkHTvU21seqUWTIHicjGITfv58nXaaJk2SxH335sK2HL6Tfft01lmNfgicNIIHjDClx3fCONGcCB7fCe/bmxPBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5N/X28krxrzmawAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIbklEQVR4nO3d7+tedR3H8ffnXF8dzakZEkg3xB+4mVlQBAWyzZxurpDdaHlnZJlM/wz/jQxKbKZiISzxR5uTSqhFoG4qZBLdEJRsmjrNue91Pt24viHKbJtlX6/r9XjcPLc+cHhen3PO9fmc03rvBWQYVnsAwP+P4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4FnRe/W+2oPgY7a02gPgk6K11R4BHz8zPNV7HTtWjz5at99eL75YVTWOqz0mPh5m+Gi9V2t18GDt3l2HD1dVXXFF7dxZ41iDuWAROavU+efX83/qs8IffriOvVtLS+7nF5Pgo83u2y+9tLZurXGsYVJ7945//UuvEvxiEny62cP5W29rVX0yqSNH2oHHW3mGt6AET7VWX/9av+Tivny8Wmt3/nh8550u+IUk+HSzsM/7TNu1a+i9Tyb1hz8Ohw83f8svJMFT02lV1fbtfe2nxlnjd/xwNMMvJMGz8g/c569oW7ZMpstVVb/cW6+95jZ+AQmeaq2m01q3rq7fNlb11uqVV4df/LyXFTgLR/Cs6L02f6Ndckn1XuO0fnbPykEWieCpqppMajqtDRvaxo0r1/HPPNMOHqxhWLnDZzEInvfZsaPOOquq6pVX6oEHqjWT/EIRPCsmkxrH2rKl1q9fOXLgQL16pJaW3MkvDsGzorUax1q7trZvr9ZqGOrQob5//1hVo6v6RSF43jOZVO918821du3Kntl9+4fl5ZrYS7MoBM97Zn+8X3RRbbpqrKrW2oN7xz8/393JLwzBcwK33Dr03pfOqJf/1n77RFP7whA8J3DNNf1zF4zLy1XV7vzJ+M4/u/dhLAankfeZXdWvW9e+f8ukj7W0VL/7fT37bCuLcBaC4Pmg2futvvXNcTKMvVdrw1139bJDfiEIng+ahX355cO117bZMrt77+1vvbW6g+J/Q/B80GwvzTnn1I4d1Vofhvr7keH++6t3K3DmnuA5gdkkv2lzu/jiNp1W77Vnj0v6RSB4TmC2Z2b9+tq8eeXIU0/WoadrGGpqkp9ngufEZq+s37at1q2rqnrtH33PT6dVNS6v8sD4bwieE5sts73hhrrssqqqcWy//s1w5EgtneFOfo4JnhNrrabLdeaZtfW6cRh6a/X00/X4Y+Nsjw1zSvB8qNmemZu+N5x9drVWx96tX+0fjh/3Fao55tTxoWaP5devr69+pY9jtdYefHB84c/da3Dml+A5iXGs3bcNVTWZ1EsvtSeeqCqT/Lxy3vhPZm/C2HpdXfDZ6XRarbX77qujR736al4JnpM759zaddOk95os1WMH+vPPd7XPKcFzErO2v7Ozn3nGrPJhz57WmoV3c0nwnJINl9emTbV8vFqre+6pN99c7QHxkQiek/j3d2nat3e2qppM6uWX66GHqnyXZg4JnlPSe111VV14YU2n1Vr96A6tzyXBc3LDUL3Xhg21ZUvNPiP95FPDM4fLqru5I3hObnZVPwy17bpxzZpeVa++2u++2zLb+SN4Tsns+zPXXDt88QuzA23/Y+2NN2sYND9PBM8pmU3y551XV1/dW/XW6rnnat8jo2W280XwnKrZhtld3x3O/XTrvd5+u/bta1W15Ls080PwnKrZ1fuVV9aXvzSdTGppqT30SDt0yKO7eSJ4TsNsdd0Pdk+m01pertdfrxdeWO0xcTqaVdGcrqNH6/rra/36uvHG2rix1qxZeR8Wn3yC57T1Xm+8Ueeeu9rj4PQJno9o9uqbyWS1x8HpEDwfxexzVMwdwUMQv9IQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5F+lJLJIQXsy5QAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f80e848050c860719c5e5b95efc3a1035418a21235372d32f55c151c8864850d"} +{"episode": 85873, "episode_seed": 3689948533, "split": "train", "timestamp": "2025-09-16T00:21:21.071397", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3689948533, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "action": "('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "action": "('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "action": "('move', [-0.3129263013665997, 2.6301168483607418, -37.341374427084595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIN0lEQVR4nO3cS4id5R3H8f/7zkVUUFALGlGanVALtTQEQbOrdtNCaGejtrgwIC68kBBjq6mJRg2JttpF6wWKpiJoStzrTileECHpwi5sMNZg2qVodeac9+lixnECbaXXmTm/z2d9Fg8cvvM87/995nSttQIy9Ku9AOD/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPBr3Xhcw7Dai2BSdK211V4DX27xW+q61V4H65wdfo1a3NU/+aS2basDB6rrlmr395n/hODXqNaqtXruuXrqqdq5s6799vjo0aqqrqvRSPb8mxzp16JhqL6vEyfqyivr5Mmana35+Tpjdrj77u6mbXXhhd0wVGs1NbXaC2W9scOvRYun97POqhtuqK+c3+bn2+xMzY/6e3bX977bjhxpfV9TUzUarfZCWW/s8GtUa0vZv/rK8MjP6siRrqpb3Or7rv3wR92uXXXZZYZ5/GsEv3a1VqNRzczUxx/XCy+0e37S/nSyX5zeDUNt3Fi33lq33/7Fh2XPlxL8Wjca1fR0VdUHH7Q9P22/frpGo356ukaj6rq66qr2yMPdtzZVVY3H1fey558R/Dqw8tz+0kt111311ltVVYvZT3fjHTv7226rCy/qqmo8NszjHxL8urGc/aef1v799eQT9cHJNj3djcfVWl3+tfHu3f0P5rquq4WFmp621fN3CH6dWX5Wf+P19vAj7fnnvxjmVbXrr2s7dnTfuKJbfI3fewnD6QS//iwP8+bn6/Dhtvvu4d3jfT/VdV2NR+3SS+rmm2vnnd3iwd4wj5UEv14tD/NOnWr7H6pHH6th6Baf6qtq06Y6eLC2bKmqGoYvbuYSTvDr2Mpz+6uvtB3b2+tv9lU1M7P0GH/LLbVrV110UZVhHlUl+AmwfGgfD3Vg//Crx7v33ls6z4/HbePGdt/empvrZ88wzEPwk2L53H70aB08WIcOVX2+1VcNc3Pd9u21eXNXn1/UJ5PgJ8rCQs3MVFUdPlx797Rjv6++7/q+RqPasGHYdlPduas/80wXcnMJftIsP6t/+GH94rHh4IGaH/Wfb/Xtm1e0Bx6oa7/Tlx/ViCT4CdRaDcNS9m++WTvuGL/yu761bnqmRgs1PT3ceGN/77118cVVK6b9JBD8xFr5Bv7Rnw+PPtYfP976fukxfsOG2rev5ubq7LMN84IIfsItn9v/8E7b/+Dw9G/6YVi+mVdbt7Y7bq+rt7iEn0LwEZaHeS++WA8+WG+8UVU1M1sL8+3882rbTW3Xj/tzz3Utb/IJPsV4XF1XfV+nTtWTT9b999dnn9XUVI3HVdW+fnnbs7fbunUpd+VPKsEHaa3G46UR3bFjtWP78PLL/dCWXtfPzg7f39r2PTS18atLH9b85BF8nJUlP/7L4cDBevePXdd3fVfjcV1w3rD3/u7667tzzlnVVfK/IfhQy/fwT7xf++5rh56pv37WzczWwnxVtWuu6Z59ti64YLVXyX+bO5ahFp/nx+O69JJ6/Inu8G/blqvbwvzQdTUz073/fi3+ErbtYMLY4dMt/8T9X/7cnjlUe/Z0H31Ur71Wmzd7jJ9Ague0Yd7bb9exY3XddTU1pfYJJHiWrPwvOnv7pBI8p5H6ZDO04zRqn2yChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyB/Az9CDYIVsC3SAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5196033243b2e3b7f8d93822e8ae9943699411098402cf8ea2ea74725d25b641"} +{"episode": 85874, "episode_seed": 514955437, "split": "train", "timestamp": "2025-09-16T00:21:21.678361", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 514955437, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "action": "('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "action": "('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKwElEQVR4nO3de2iV9QPH8c+5bGrRxRZOQ6vF3Iy07EKFjA0kB2pgjZIVZaQRbWyZgSD9bflPWiChLCu6mBcq/3HasJISKW2LJguVbhbd3OYqtJE7l+f3x3nazkx/WDnPzvm8X3/p2Q48f+x9vt/n+5zn+UaCIBAAD9FcHwCA84fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIweeHIFAQ5PogkP8IPj9EIopEFARKp3N9KMhnBJ8f2trU3a1IRNGokkmyx79E8KNaJuxPPtG8ebr9drW06PvvFY8rGtXAANnjH4sEnBqOYqmU0mktXKjt25VMStKMGVqyRHV1mjIl/IVYLLfHiHxC8KNXOq1oVEePqrZWBw5IUlGREglJuvFG3XOPHn1Ul18uSUGgSCSXh4p8QfCjVybjgQH98IO2btWaNerpkaR4PBztKyt1//164gldfHH4lsxnBHAmBJ83uru1bp1aWvTTT5IUiymVkqTJk9XUpEceUUmJpPBF5vk4LYLPA9njdl+f1qzRli366ispa7SfNEnLl+uuu1RWJkmJhGIxRnuciuDzyeC5+s8/q6VFb72lri5JKi7WwIAkXX21Ghq0YIEqKyUpmVQsxuk9hhB8/kkmFY9L0jff6O239corOnhQysq+slILF2rJEl11lcSSHrIQfF5Kp5VMqrhYko4c0fbtWr1aR45IWZP8qVO1YIGWL9eECUPvYpJvjuDzWDqtIAjX53p7tWmTVq/Wd99JWUt6EyfqoYe0bJlKSyWFX85lSc8Wwee9dDr8pr2kEye0fr02bNDhw1JW9pdeqmXL9OCD4ZJeMqlIhOwdEXyByD5RP35c69dr61a1t0tScbESCQWBSkrU3Ky779b110us5Fsi+EIzeKLe3a3Nm7Vxo/bvl7KW9KZMUX29Fi3S9OnDfh8OCL4ABYGSSRUVSdKPP+rdd7V2rTo7pawlvbIyzZunJ5/UNdcMvYvF/IJH8AUrnVY6HV7AO3ZMra1atUqHDklZ5/alpaqr04oVuvLK8F2plKJRyi9YBF/gMrfQZibtf/6pjRv13HM6dCgMO/PTCy7QY4+poUHl5RJfzi1oBG8he7qeTOrFF/Xqq9q3T5KKipRMKgg0bpyWLtW99+qmmySW9AoUwXsZXKLr79cbb2jzZu3eLUnFxeGDdMaP16JFuu8+3XabxAy/4BC8nSBQKhWe2/f1qbVVGzboo4+krCW9K67Q3LlqbtYNN+TyUHHOEbyp7JX8vj7t3q1Vq9TRIQ1f0pszR089pWnTJDHOFwKCt5b95dyTJ9XaqqefVleXBgaGLel1dqq8nOt2hYA1GWvRqGKx8KH3Y8aork4dHXr5Zc2aNbRcN3++Jk/O6VHi3GGEx5DM30LmAfivvaY339S+fXrnHc2ezRfyCgTB41SpVPgA/D/+UHu7brlFF17IfL5AEDxOI3tJD4WE4HFGmZvnuQ5fSAgeMMI6DGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBI9RJvNQDoyMeK4PAPgLO12OPEZ4jBqZDS6//Va9vbk+lIJF8Bg1Ojr08MOqrtazz0piYj8SuD0W511mE6xYLLzP/rff9MEHeuEF7d2rkycl6dpr1dnJ8zdGAufwOI/SaaVSKioKn4+XebzGpk1qbAx/YcYM1dZq8WJqHyGM8Dgvsre/OH5cH3+sm29WSYkk9fSoqkrl5Zo/X/X1uuyy3B5pYSN4jLDBR+FK+uUXvf66duxQe7tWrtTSpUomFY/r8881bZrGjpXY1G5kMaXHCMukfuCA1q3T++/ryy/D1/fvD/8RBJo5U5ISCcXjTOZHFMHjnMpM3aNRRaPho6137tTatdqzRydOSNJFF6mmRo2NqqpSEIST/MxbSH3kMaXHOTK4IDf438wuVjU14VaVFRW64w41Nuq663J4mOYY4fGfZa+9Dwxo1y4dParFi8MtKRsaNG6camv1wAOaMEEaflaP84sRHv/N4B5UPT3askVtbdq5U6mUDh9WRYWCINyYMjPyJ5NDl9+RC4zw+IdO2XQqGtUXX+ill7Rrl7q6whenT1dvryoqJGnMGOmvtfc4f285xgiPs5Z9c0sqpVhMBw9qxQrt2aNff5WksWNVVaWmJlVX65JLwpGfCfxowicuzsLgWfrg5tKSgkCJhD78UL//rrIyzZ6tpqbwAls2Uh9NGOHxf2WvvScS2rtX27aprk41NeHZ+8qV6u/X449r4sShd7HX7GhF8DizwQW5Y8e0bZva2rRjh/r7NXOmPv1U8fiwsDPX0ul8dGNKjzMIAkWj+vprtbTovff02Wfh61Onqr4+/CCIRJRKhSf2PLgiHzDC428Gx+1nntHzz6unR5JiMc2apeZmVVertDS3B4h/jREefxOJhPe0jB+vnh5NmqQ5c9TQoFtv5Z6WfEfwOJ1M2HfeqSDQ3LkqKxv6EQty+YwpPc5COq1IhM4LACM8ziz71jcUBEZ4wAif3IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/A+5UeLR8FGkAgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "action": "('move', [30.360660977344093, -29.45517473696965, 49.37237342771601])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH+UlEQVR4nO3b/8uddR3H8fd1zrldAxE0wxgOkZiYRcy2UKTI/AKGBels6Obu+aX+CsG/xPTWbZlzuqIky1qzQFYSSc0mtQb7QRnEIDGQbfe5Pv1wTvvW+n7vvu/dr8fj13MduH44z/M5n/fnOl1rrYAMg6W+AWDxCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ5lZzyu+fmlvokVarTUNwBnjMfV9zUzU1XVWnXdUt/QimOFZ1no++r7Gg5rZqYOHKiXX66uq75f6ttacazwLJnWqmq6jA8GVVU/+H7b/UL9ZF/XVW3cWGvXVt9PX2JBCJ4lMFm6T5f8wQf17DP9jh116J3BB39tk5fm5urJJ2t+XvALSfAsqvG4WqvRqKrqxIk6cqTm5toz3+r/fHz490u6qjYadu+8U+NxzczYzC8kwbNIJoP3SerHjtWbb9aOHbVnT7XWVQ1Ho8kF7eqr67M399u3DzY90A2Hal9gXZtspOCiGY+rqobDqqqDB9uPXm17XhocOFBVNRpV19WpU1XVf/LG7u672n33d7d/SeIXi+C5WM6eyVXVqz9sL+1p+18fHP5Tq+pGo+lkvqruuKO+/kC7885ad0NXVfPz1XXTLwgWluBZYK1Va2cmbR9+WLt21nNz/W/f7t5/v6q64ajG81VVq1bV5s31yCO1fn1ddVWV1C8+wbNgzv7pPj9fR4/W3NP9s8/Ve+8NxmdO1Ntw0K1ZM3788cHs9m7t2umuXuqLQ/AsgPF8tVajmaqq48frrbfa0093u3dPB3Wnl/Qrr2yf+XS/bXbw8Gy36rLpe/u+us5kbpEInv/L2cdshw61n+2rF1+s/a9XVTccVtdNZ+/r1nW3f7Ft3lx33T0t+7wdPotD8PyPzj4w27ev7X2p//Frgz/8saq6yeH5ZHm/7bbadH9/zz3dTZ/q6tyf/Sw+wfNfOG9ZPnmyXvhO27mj/fo3g+PHp7P3SeeDrn/wocGWLbVxY11zTZVd+vIgeP4jfV+tTXNtrd59t556qnbtqqNHJ6foZ3z8Y+Ptjw4efay7/vq67LIqqS8nnrTjX2mt+r5aPx3Ivf+X9ruD3dxc7dxZJ05UnXkevl1xRXfTjf3sbG3bPrz88unbJ8fsI5+yZcMKzz919n778OH6xc/757/dvfbTmgzkBoPJ2t6uu677wuf7rVu7e758ZgRnJrc8CZ4LOPvhmTfeaN/7bnvlle7t37eqwcxMtar5U1VVt9xSX/1Kf++93fqbu/qH/8CxDAme803G763q+V397t31y18Njh07ZyBXNd60abhlS916a61ZU1V16lQNBnbplwDBc45J7Xv31hNP1JEj0416N6jWV1VdfWW/dVs99li37oZu9eoqA7lLjXEKF7B6dR06dDrjtvoj3bpP9N/4ZvfQ1sFHr5peMx5X1xnIXWKs8JxjssKfPFkbNtTBg3XttXXL58YPbxt87T4DuZVA8FzY3r21f3/NztaGDVUGciuF4Pk3DORWEsFzYa1Nd+lSX0kED0HsySCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHI3wB9dLX3GwW/HgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "60c66084a4e04c55e40bf7d71bb3d4364e9997b3bec20603f59caee32b355982"} +{"episode": 85875, "episode_seed": 2053636984, "split": "train", "timestamp": "2025-09-16T00:21:22.621798", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2053636984, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "action": "('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "action": "('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHmElEQVR4nO3dMWhdVRzH8f99SRMUKghCp846OEjcKkQQcVZENzuIdBLFydnF1cFFwUVRdGoXobgVHBSHbsXJRREKUhTsYl7uuw4vxNC1yf0/8/t8ptClhwPfnHvOPe9lmKapgAyL7gEA8xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BNnuHgChpqmm6ejnhXVnLsN0POvAeWeFp8E41o0b9eOPtbNTly/XtWu1tdU9pgxWeGY1TTUMtVzWm2/Wl19WVe3t1Q8/1M5O98gy2DzRYJr+27dve8qckeDp4cSuhcmmwTTVanX0s+DnZLLp4eyoheDpcRz8MNQwtA4lieBp4NZNF5NNj+M9vOV9ToKnmRV+TiabBidP6a3wcxI8PU4e2jEbwdPMKf2cBE8Dj/RdBE8PN+1amGx6eA/fwmTT4OTFG+YkeHpY4VuYbHp4LddC8DR44OOxmp+N4OlhhW8heHoIvoXgaXDylF7wcxI8PQTfQvD0cLW2heBpcPLWjVP6OQmeHlb4FoKnhz18C8HT4IFHemZjsukxjkc/WOHnJHiaWeHnZLJp4BtvugieHv7yTAvB08wj/ZxMNg2m6b9DO+YkeJpZ4edksmngj0l2Mdn0OD6lZ06Cp4ertS0ET4+Tj/San43gafDAl1gyG5NNM8v7nARPA1druwieHg7tWgieNuvU7eHntN09AEKtVjUMjujnJnjauHszv2HyZ3uZ3TjWr7/WP//UONYTT9SlS90DiiF4COKRnh7Hn5/xBRhzssJDEK9EIIjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIchmBz9N3SOAc2Wzgx+GGsdarbrHAefEZgd/cFBbW7XY7EHC/8emtrR+mP/gg9rfr5s3q8o6Dw9vI4Nf1/7HH/Xpp/X99/Xdd1VV49g7KDgHNjL41aqGoT75pO7dq0uX6o03qsqDPTy8zatommoY6s8/6+uvq6r29+vZZ2sca2ure2Twv7d5wR8e1mJR33xTv/xSFy7Uu+8e/QoAHtqGBT9Ntb1d9+/XjRt1cFD7+3XlSpXneTgdGxbSONYw1Lff1q1bVVXvvWdth1O0ScGvl/equn27lst65pl64YXuMcG5st09gBOG4Wi7/v779eijtbdXjzxy9O/AaRimjbqvvr5dY8cOZ2PDgj+2XNZi4VUcnK5NeqSvqo8/ruWy3nqrHnvMR+Xg1G1M8NNUf/9dH35Yd+/Wb7/VRx/VOB6d4QGnZDN2y+u3cZ99Vnfv1uOP12uvVTmrg9O3AcGvT+bv368vvqiqev75unKlVisbeDh1GxD8+i7t9ev188+1u1vXrtU02cDDWegOfn3ZZhzrq6/q4KD29uqll2qaLO9wFrqDX+/eb96sn36qqnrnndrasnuHM9Ia/DTVYlGrVV2/Xn/9VU8+Wa+8UuW4Ds5K93uvxaIOD+vll+vevXr11drdbR4PnGvdN+3W//sw1OFhTVNduNA5GDjvuoNf8xUXMIvuPfytW3XnTi2XtVp5FQdnrTX41aquXq2nn67PP6/FwvfSwlnrDv733+vixbp8uXMYEKM1+PU7ueeeqxdf9L20MIPW4JfLunixrl6t7W3ndjCD1uAPDuqpp+r112u18klYmEFr8Lu79fbbnuRhNt3v4Q8OamencwCQpDt4YEbdn5bz6wZm1B28k3mYUXfwwIwED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+Bdjqa2Dg11cwAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "action": "('move', [-15.858070866620686, -8.573127507438498, -11.921499096395138])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1e6032949669ad2ce7731b58a6b1de38c77465d52f5276d032601a7a3996aec0"} +{"episode": 85876, "episode_seed": 341486768, "split": "train", "timestamp": "2025-09-16T00:21:23.235313", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 341486768, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "action": "('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "action": "('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "action": "('move', [166.98119783349264, -183.18938099365243, -11.700472456155572])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "301f926f8dffcd0d14caf77dc2b7d0193a48bd4a8b26b40ac9fb088b666e566a"} +{"episode": 85877, "episode_seed": 1409315686, "split": "train", "timestamp": "2025-09-16T00:21:23.841545", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1409315686, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "action": "('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "action": "('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "action": "('move', [-150.60021001440353, 127.09461141074623, -5.108047661808494])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/ElEQVR4nO3c3Y9V1R3H4d/ehxlQ8aVhTCQm3DRNirHQpuU1VmzqSxUSTWhJ/yWv/DeaWii1gm25EWpKAI0lkAgU0RJjtdI04cY4zNmrF+d0UFtCy9sM+T5P5mKys89kZSafWWuvs2a61loBGfqlHgBw5wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggj+rjcMNQxLPQjuEl1rbanHwP9t8YfWdUs6Du42K5Z6APyvWqvWquumHxPjcR08WFW1a5f4uT4z/HLXWg1DtVYr/v3LeTyuy5fbsePdq78YDh1qn342Wr++3n776g1wLYJfpiadj8c1MzOdur/4oi7+tZ0+Xa8fqNd+PVz652hyZ9/XMNTx47Vp03QJANdiUlh2JptwXVejUY1G1Vq98069+24dOVK/f6P9/VJX1XXdaHa25ucn97eHH+7On69Nm5Z66Cx7gl8uFldafV99X1V19Gi9+WY7caI7caI++qhVdVX97GxdWag21Px8+8aDw4+fHW3f2jZtro0bu7KHx/VY0i+Za+20Hzte+/cOR97qLlzoPvlkenE0qvF4+vkDq8cv7Ox37uo2fqd981vdvffeqRFz9zPD32mtVRtqaF/ZY/v88zp5sl795fC7g+2jv40uX+6qvj5Zz60Znnm67fn5aMvmfs1cNztbk3sWFqrrqu9N71yfGf4OmWzCDUOtGFXXV1UNQ338cZ07V68fqP2/Gn9wcboJ13WLk3+7//7ukUdqy5bavbueeabuu+/qF5wctvnyW3RwXYK/7RZPwi1O6WfO1OlTw+Ej/cGDdeHC9OLMTC0sTFJvq1fXhg3ddzeMn/1J/9xz3apVV7+aIzfcDMHfLpNzMlXTHbiqOn2q/nhkOHaiO/qnOveXNjnXPDtb4/Hk+bytmm1PPtVv2zps2dxt/2H34APTF47H00U73CTB30qT7+XX5t733qvXfjMcPlxnz/YXPhgmnY9WVPvSzP/00/XCC/WD7w/rH+sfemj6wvn5Go08nHMrCf5mTWby1mo0unpxPK6zZ2vfvjpwoN5/vy591tp/bMLdc8/w1I762Z7+iSdq7dpavXp6fWGhqqofVa9zbjXB35RJ6ouL7X9cah9+WAff6PbuHU6f7hffSFu8feXKbm6ufW9j2/3Tfueumpu7OntPzs+az7mtBH8LXLxYZ88MR97qf7t/OHmqpov20bThqpqdqW+vr8cfGz/3fL9zZ7dmzVde/l8fBOB2EPwNmpx+/fTTeuWVOvSHevfP04fzmZlqbbosr6qtW2vz5rZ9Wz25o1u7dnpxPDaTszQcvLlxXVfz87VvX50/XytX9uNxLSzUlStVNWzb2j2/s9u6pR5/vNaunZZ95crVE/KwJAR/g/q+xuNat652766XX675+arWtm8Zdu8Z/eipbt26WjM3vXNhoapVP6qZmSUdMQj+ZkwehrZtqx076qWX6sUXu0cfHS2eeG1tunT3Z+osH57hb73J471HdJYhwd+sxf88VXbaWfYED0Gcz4Yggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wLgSqIcT80SLAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c8ac24091a31e676ffb8e8f79f9fa30bed08d7fe5e864f9a003976e9c65af8b1"} +{"episode": 85878, "episode_seed": 2856182831, "split": "train", "timestamp": "2025-09-16T00:21:24.782040", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2856182831, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "action": "('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "action": "('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "action": "('move', [15.421810073870274, 9.025207882004393, -59.77591983034372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "23e121a62a6f00c099f5045565613327d949d579b8d3877d4b44f9c8074c2595"} +{"episode": 85879, "episode_seed": 2882617765, "split": "train", "timestamp": "2025-09-16T00:21:25.394727", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2882617765, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "action": "('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "action": "('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALAUlEQVR4nO3dS4iV9R/H8c+5zUEdp0ZNZhKLjAlGh7Y2i7KoBsNLKJSthAI3oWG5sQtFFAXlLaVslCASMhcuQjSM3NjGxaRoF8JEmaaRLl6wWszMOc/ztHieZtR/TvWfx85zzuf9Wrg4zOI3wnu+v+d6clEUCYCHfK0XAOC/Q/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIH/oUoGvu3HhE88E8FgXI5Scrl6rV5ggf+kWpVhYIGBvTSSzpzRrmcwrDWa/r3irVeAJB1UaQoUrGoI0e0Zo36+nT8uD78UOWyoiiZ+fWCCQ+MJwyVyymfV2+vlixRX5/KZX38sV5/XYWCwrDO9vZMeOCvxSXn8/rtN61bp/feUxiqVNLwsDo6dN99kpTL1dmEz0X19QcK+E+EofJ5SfrySz3xhPr6VCgoCCTpoYe0c6dmzaq//bzY0gP/q1pVPq8o0u7dWrBAfX1qalIQaPJkvfCC9u+v19rFlh64SrWqYlEXL+qVV7R5syQ1NWlkRHPmaMMGLVsmqV5rF1t64HLxTv6rr7R2rQ4dUj6vXE5BoJ4ebdyori4FQfJhnWJLD0iXnaLbs0dLl+rQIZVKCkMFgdav15496upSpaJCoY5rFxMeiCKFoQoFRZGefVZvvaWhoWQbP22atm/Xo49KUhCoUKj1WieM4GFttPYzZ7R6tQ4cSK66B4G6u7Vjh7q6pMtO2te7hvglgP9LfG9soaD9+/XAAzpwQKVScl/dk0/q00/V1ZX8TGPULoKHrXhoh6FefVXLl+v0aZVKqlR0003asUNvv63mZkVR46QeY0sPR3HtAwN6+mnt3Tu2jb/rLm3Zovnz6/5s/LU01p8v4O+MbtE/+0w9Pdq7V01NiiIFgVat0r59mj+/Ec7GXwvBw0g8tysVbdmiRYv07bcqlzUyopYWbd2q3l7NmKEgUKlU64VeN2zp4SK+hW5wUM89pw8+kJQctN95p7Zt0z33JJfiG3KwjyJ4NL74xHs+r88/19q1OnpUxaKqVUl67DFt3qy2tsa58DY+g18R3kYfaN++XcuX6+hRNTWpWtWkSXrjDe3apba2ZKvvgAmPhjW6Rb90Sc88o/ffTx5or1R0xx165x3df3+jXWb/WwSPxjS6RT9+XI8/rmPHxh5oX7xYO3cm2/i6e4PFBNn8ZYOT0Qfad+3SggU6dix5oL25WS++qH371NaWHNVb1S6eh0fjic/GX7igl1/W1q3Snw+0d3TozTf18MMWZ+OvhS09Gkr8aooTJ7RmjQ4fTp5vCwItXKiNGzV3bvK2ac/axZYeDWN0bu/ercWLdfiwSiUFgYJAzz+vjz7S3LmqVFQs+tYuJjwawOgjrtWq1q/Xtm0aGUm28TNmqLdXy5dLjfJA+wQRPBrEqVNavVoHD469l+ruu9Xbq85OqZ7fQpcutvSob1GkSkX79unBB3XwYPJeqijSU0/pk0/U2Zlcaaf2GBMedSye20eOqLtb0tgD7Rs2aOVKqYHeVJMW/jNQx+K5fdttWrhQkioVdXfrwAGtXKkgaMDXV0wcEx71LZ7hp06pp0f33qtNm3Tjje7X3sZB8Kh78cb+3DlNmaJJkzgbPx6CR0PhbPz4OMRBQ6H28RE8cN3Eb97IEh6eAa6b7O03CB5IW3zl4PhxDQ5q3jzdemutFzSGLT2Qtvh1ee++q0WLtGJFrVdzBYIHUhVFyRdWXbqkfF7z5tV6QVcgeCBV8YXB33/Xzz8rDDV7dq0XdAWCB66Dc+d0/rykTB3Ai+CBlMXX4c6f17lz0p/BZ+biHMEDqYrbvnAhCf6WW2q7nKsQPJCqOPiLFxUEam1VS0utF3QFggdSFd9sMzCgSkWtrVn7YkpuvAFSFT+pt2KFOjuVz2vKFClDt9zxtBxghC09YIQtPZC2oSGdPq1yWbNnq6mp1qu5AhMeSE/8itz+fi1bpqVL9c03Yx9mAxMeSNuvv+rkSeVyGh6WMnTXjQgeSFN8Nv6nn5TPa84ctbaOfZgNbOmB9MRt9/crDDVzpqZOrfWCrkbwQKqiSAMDktTWltxmx4QHGla1qu+/l6S2Nk2enKkDeBE8kLJKRQMDyuXU3q5cTmHIhAcaUTzMKxV9952iSNOnS9m6JifO0gOpiSd5uaxVq3TyZPJyq4x9ux330gNGmPBAqsJQ1apyORWLmTp6jzHhASPZOsAA6lg8O197Td3d2rQp+SRjA5UtPZCqw4d15Ejy7spqNWtvvGHCA6k6e1aFQvLuyoyNdxE8kJpcTpWKBgcVBJo1K/kkYwgeSEM8zH/4QcPDKpV08821XtBfI3ggDXHw/f0aGtLUqcmEz9hdNyJ4IB2jE15SS0sy4dnSA43s668VBCoW1d6efKtkxnBZDkjP7Nnq7tacOSqXVa2qmLm+uNMOSNWlSxoe1syZ2ZzwBA+kJ5ORX45jeCA92a5dHMMDKYgHe3+/9u7VtGlasiR5+0X2EDwwYWGoQkEnTmjdOkn64gtNn64wzOB1eIIHJiw+Efbjj8rndcMN6uiQsnjXjTiGB1IQv7ju7FmFoVpaNHVqBh+biRE8kJLBQeXzuv32Wq9jPAQPTEwUqVBQFOmXXxSGam+v9YLGwzE8MGGFgsJQjzyi5mYtXFjr1YyHG28AI0x4ICVBkFyKKxRqvZRrYsIDRjhpBxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASN/AJnBu7NxnyDYAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/0lEQVR4nO3df2hV9R/H8de5P1wzd2vNxKVLUApzCBWIWCEFRkWlGKlEBP0jFUSIZkJl9EMikhlIUPRXf/SHUFFBQlBoPygKrHRQhEI450Y//LVZznnvOac/zvFH369u927X7azX8/HnnZPPP8+9z4/PPSeI41gAPOTGewEAxg7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA/URx+O9gioQPFAfQaAoynr2hfFeAPBfMDCgONbkyeO9juEw4YGRi2NFkU6d0po1Wr5cP/6YfphZQZzl1QHZFscKAu3cqXvu0YkTampSR4dWrx7vZV0YEx4YoaT2wUG98IJOnFCxqOPHdfnl6Y+yieCBEQoCSdq2TV98oUJB5bIefFArVpz9UQZxSA+MUByrv1/z5+vgQUkqlfT112pvVxQpl9VJmtV1AdkWRQoCbdqk7m7l84pjrVmj9vb0OD+zmPBAzcJQ+bw6O7V4sY4fVxRp3jx98olmzlQUKZ8f7/VdGBMeqE0yIsNQmzapr0+SGhr0xBNqa0v/EGQZwQO1qVSUz2v7dn38sQoFRZEWLtRDD6lcznrtYqcdUJMoUqGgI0f02msaGFAup8ZGbdyoyZPTs/qMY8IDNXv3XX3+uYpFRZHuv19LlmT6yvy5uGgHVCtppbdXt9yiAwcUBGpq0u7dmjUr6xfnz5gIf5SAzAgCdXRo/37lcgpDPf30RKpdTHigSknVe/Zo4UJVKgpDXX+9Pv1ULS1ShrfW/Q8mPFCVKJKkDRs0OJjmvWGDpk6dGNfqziB4YHjJDfZt27Rzp3I5VSpatkzLlimOJ8a1ujMm1GKB8ZA8x+boUW3erFOnFASaMkVr16qxUWE4kca7CB6oRqGgt97S7t3ptboHHtDixQpDFSbaRhYu2gFDSQ7m9+3Tbbept1dBoCuv1K5duuoqScMdzydxZekYgAkPXFByih5Fev119fQon1cUad06zZwpDVu7pCDIVO1iwgNDSG7FffedbropvVY3f7527VKxOGTIyba7PXvU06P2ds2aNXYrHg4THhhKGOrZZ9N7cvm8XnlFkyYNN7YrFUl6803dfbdWrRqDRVaP4IHzS8b7e+/ps8+Uz6tS0X33ackSxfGQj6yLYxWLimP19SmXU3v72K24CgQPnEeS9LFjeu65dJ5Pnar16zVp0nAbaZMf//WX/vhDUaS2trFZcJUIHjiP5AZ7R4f27lU+rzDUww/rhhtUqVS30+bQIR0+LClTJ/AieOD/JTfYOzv19tsKAoWh5s7VY4+pUKii9uTY4PBhHToknQ4+M5fGCR74l+QUvVzWli06eFCFgoJAjz6q2bNVLlcd/JEjafBXX32xF1wTggf+JXmmzY4d+uAD5fMql7VggR55JP18eEnwR48qDNXcrFLpIq+3NgQPnJXstOnv16uvqr8//fCll3TJJVKVW+aSf9TdrXJZzc0qFi/WWkdkom0FBi6yINCHH2rHDhWLKpe1cqVuv72Wb8UlD7JctUrXXadcTpdemv6n2cBOOyB15mD8xhvTJ1g1NuqHH3TNNVKGmh0VDumBs4JAmzerqyvdNv/UU7r22vTz/wYmPCCdHu+//KIFCzQwoCjS3LnasUOtrbU/kfbkSf36qxoa1NamSZMuznpHiAkPSKc3yD3zjP7+W0GgYlFPPll77cme+64uLV+upUv1889nP8wGLtoBqlRUKOijj7R9uwoFVSq69VatXDnSB9r092vv3vTd8crQrhsx4YHk9Y/HjqmjQ6dOKQxVKmn9ejU1SdV86f1cyZ+H339XLqc5c9TcfPbDbCB4uEuOuN95R199pUJBcaylS3XHHSN6V1zSdleXokjTpqV/M7KE4GEt2T+3f7+2bk0fbtPSoueflzTS59XFsbq7JWn69HSbHRMeyIgkxjfe0L596a24tWs1Z84oXiZTqejAAUmaPl2TJ2fqBF4ED2dJ1d98o61bVSyqUtG8eXr88dG9OqpcVne3gkCtrQqCrL2nguDhKykxjjVjhsplxbFefFGl0kincvJr5bL27VMcp++gytI9OXFbDubiWDffrM5Obdyow4d1112jGO/JrzU0aPVq7d2bPtwqYy+mYacdYIQJD0h1fGdEFKlSURCkj87IGCY8YCRbJxjABJbMzpdf1qJF2rIl/SRjA5VDeqCuvvxS336bPruyUsnaE2+Y8EBd9fYqn0+fXZmx8S6CB+omCFQuq6dHYagZM9JPMobggXpIhvnBgxocVLGYvk06ewgeqIck+K4unTyppqZ0wmds140IHqiPMxNeUqmUTngO6YH/sp9+St9T1do6uq/gXCzclgPqp61NixZp9mw1NKTPzcoYdtoBddXXp8FBTZuWzQlP8ED9ZDLyc3EOD9RPtmsX5/BAHSSDvatL77+vK67QvfemT7/IHoIHRi150nVnp9atk6Tvv1dLS+0vrBkLBA+MWnIh7LfflMvpssvSt09mr3ZxDg/UQfLgut5eRZFKJTU1ZfBrMwmCB+qkpyd94UyGETwwOnGsfF5xrD//VBSptXW8FzQUzuGBUUteYbFihaZM0Z13jvdqhsLGG8AIEx6okzBMb8XV/A7KscOEB4xw0Q4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gF9s5tZFakprwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "action": "('move', [2.8935702995018926, -4.279958438343447, 22.723677505816756])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHhUlEQVR4nO3dzXLb5hmG4Rck7ci/07HsJHItyY53mczkIHIUOYocQQ40maktKWO1lSXHk6HGsUQBXYBSHLddCS1hPte1ErH6Nrde8AMBNF3XFZBhsuoFAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgs1UvANZT21ZVNU01zaqX8oGm67pVrwHWWdvWZDRn0iY8DKnrqmnq/Lx+/rmm03r+vG7cWPWaPjCa/zywFvoz5qOj+uGH+u67+uab+vHHqssz/JUz4WFIffAnJ/XTT3V4WFX17t0fx1dO8DC8k+Pu7a9d00ym0/r666oay9adU3oYUn/qfnLczk+7qmqa2tlZ8ZI+ZMLD8E7eTKpqMqnptHZ3q0x4WEvTaVXV4d+bqqZtazbrtrerBA/rp+tqMqmLi3r1avlx69FiY2PVy/qA4GFg8/ky+Kp69my60rV8TPAwsPl8eUGuqnafjyuxca0GPmn9xfb5vH31y0U1VbXcsRsPwcPATk+bN79OZtOqqqdPq0bzq5sSPAzu+Ljpqum36589W/Vq/kzwMJj+2tvBQdXlXTRPnqx2RR8TPAymD35/v6pqsajNzbp1a7Ur+pjgYUgXF8vg27Z2d7vPPlv1gv5M8DCks7M62F/u0e3sNDdvrnY5HxM8DKPfij8/7/b+tujP7be3q5/wI/ldbQkehnX2vn45nPRb9Ds7I0q9J3gY0j+Pmrab9g+x62+MHcmzbnqChyG9fFm1PL2/+OLzrsb0q5sSPAxrb6+qarGo27e6e/eWz8AYDw/AgCH1wXddPf7r7N79FS/m35nwMKQ++Kra2qr7gof19uLF8o+r4Ed1Si94GEzb/nEn/NZWbWyMa8euBA+D6G+VOTqq339fjvStraqqxcKEh7XTT/KXL+v8vD/Qfv5wTNffLwkeBnNwUItFdV3dmNXDR1Uj+wJfLsvBIPoJv7+/nPCbDyfjDN6EhwH0wR/sLfo/Njfr0aPVrug/EzwMoO9870VVdVX14MEy+PG8Gb43suXAJ6jfoq+qo5NZVVNVDx7U/fvjum2mJ3gYwGxWv/1W89P+U7e52TXN6K7JleDh+vrz+cPDms+XBx5/cbHKBf13gofr6oN/9apOT6uqJpPmyfakxrdFX4KH6+u/q19N+Lt3m60ny9dFj834VgSfmqsJf3ZWVXXnTj3eqjLhYY1dvTH2zp3RvX/iiuDhuvpT99evlx/v3K0vv6y2NeFh7XRdzWZ1dlZv3iyP/OX+RVVdXAge1k6/Y3d0VCcn/YHu6ZPx/eDmkuBhAMfHdbKc8M32V7Ma5RZ9CR6uqd+iP37dvTnuqmo2q6dPx3cqf0nwcC2Xwbfz07aams1qd7dqlNfkyv3wMIh/HE2q6uaNun17+cIZwcMa6r+rv3vXVC336vvgx0nwcC39eyO//76+/bbevq3372tjo2qsE77pxvYcXeB/xoSHAbRtte3ySRizEVdlwkMQl+UgiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyL8A0awzrlrH5VAAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fde6af3a2acea13ebc0b876f16e0e18c5a9b97888142240098237915633ac6c4"} +{"episode": 85880, "episode_seed": 3658915325, "split": "train", "timestamp": "2025-09-16T00:21:26.002447", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3658915325, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "action": "('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "action": "('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "action": "('move', [6.036716276334193, 0.5890079222164185, 7.305592642328605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHm0lEQVR4nO3b324U5x3H4d+MWYfgFtJQrFYoqYuSNkYxhNi49FJylhPuIdeSO6jUC6jSsxw0iH+xm4BpCHEJEEQSoRQZaG3vTg/WsnFkogqF2tnv88hHszPrWcufeed9x266risgQ7vbJwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggiekdJ11e9X1+32eexVTednwyhaW6umqbatpqmm2e2z2TOM8IyI4cj18GFdvlwPH1avV/v2bQTfddu+ku3b7ROAH0fXVdPUhQv17rs1MVGvHu2fmm1m59rZ2Zqa2nn/YfzD8T/kLkDwjIhhvR99VDdvVlVdvdr+5a/N+Hjt31+HX+7Pz9XcmbE/nK43pmtiol58cdutftfV+npVjf4UQPCMiGHwV65sbmiqanW11tbqwYOx5X/Wn/5cVTU+XqdOdbOzzdxcTb/RTU7W4V82hw7VvidSWF3dmv+3ozXrtWjHiBgMqm3rgw/qww/rxo3u5s3myy/rzp3B5kJV01SvV/1+9fubB/VfOdrMnGxnZur3v+umprrfTLVTU9siHy7+bfb/Uyd4RtO339bycn1xvX/9i3ZpqVlaqitXanV1a4fx8eq6Wlvb3DD42YE69lp77FgdO1bT093x483x4/XSS1uHDKf9P+k5v+AZKcMBvG2/f4t+7159/XXdulULC3X5cl08v373Xvvk4N+2T4781bZ15EhNTtavfzU4OVNvn25nZ+v113f+poPBxpvUnr8QCJ7RNBhU19VgUE2zLf6qevSoHj3svvmmuXS5zp+v839bv3pt7D9rzdrajg/tuqp64YVmYqIO/bx/Yqbm/zh25kzNzNTBg9XrfX+SP7xqDGcBezB+wTP6Np/AP20RbmWlFhbq4sW6eLE++aTu36/vvquVlWEaO1fb69X0dHf6dDM/X2+91U0eqV+83Bw69Bw/xY9C8MTZ/JV/2gi8vFyLi/X3j/tXrrW3bze3btXtW4Oums34e72tJ3nDt5w8PDj59tiJE/Xmm93Uq93RV9qjR+vAgef7QZ6B4KGqtv0d3tjY1vYHD+qzz+r6Pwaf36jrn7fXrtXSUq2sbO3QG6+mnlwO7Pb3Br99beydd+q99zYuDXvn3t5zeKiqbVPuwWBjCaCqDh6submam2uH27+6W3e/qtu369NPa2GhPr7UX77ZbC7+tW21bdNvxpaW6s6datuNh4V7hxEefsjm4l9V9XrbXnr8uB78q7t/vxYXmwuX6sK5weJCrTxu27bW1+v99+vs2Vpb+/5Ru0vw8L962m3/xquDevzvunq1zp2rxcU6e7bm56vf32HPXSR4eEZb6TRPWcrfe8zh4RntuBT35D/h7Z21uk1GeAiylxYQgedM8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkv1sHf4LbZQV5AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "939fbf8422a4a19f97c1a074f4a67045002f98436a43130e380a70eefad1f298"} +{"episode": 85881, "episode_seed": 276800468, "split": "train", "timestamp": "2025-09-16T00:21:26.612093", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 276800468, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "action": "('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "action": "('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvElEQVR4nO3db2hV9QPH8c+5//bnbtOJtTD6IyyCYGFWPomeRCmjB4pU1BMJRHRGbNAkwuxBj4wCMwzKQB8UKFEsi1rESiqosXqQDSrN0RBKV9bWLUy3e8/5PTinWfwKNO/u2e7n/Xp8kS/D9/1+z/l+z7lBFEUC4CGT9gAA1A7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8FUWRWmPAPh3BF9lQSBJYZj2OIB/QvBVE8/tx46pVFImo0ol7QEB/4fgqyMMFQQaHtatt2rLFp08qWxWMzNpDwv4O4KvjkxGR4+qp0elkg4c0Lp1+uQT5fPM85hfCL4K4sX8xISOHJGkfF4jI1q/Xvv3K5s9/wEgdQRfBUGgMNRtt+n999XZqZkZFQqamNDmzerv1/S0goCpHvNCEDH7VNWJE+rp0TvvKJNJOl+9Wi+8oOXLk+v8+DY+kApm+GoKQ119td58U/39yuVUqSif13vv6Y47NDSkTCb5DJAWgq+mTEZRpGxWTz+tvXu1bFmyvB8f1913a/duRRE7dkgTS/o5US4rl9PIiHp7NTysXE5hqDDUxo3auVNLl6pSSe7nAbVE8HNlZkb5vE6d0rZteuUVScrnNTOjVav04otasUKSoohLetQUS/q5Em/CX3GF9u3TU0+pUEiW9yMjuvNOvfaa9OftfaBmmOHnVhgm9+oGB7Vli06cSOZ5STt26NFHVSwm63+gBgi+FuKl+7ffavNmHT6sbFZhqCjS2rXatUvLl6tcVjbL8h5zjiV9LcQb8tddpzfeUG+vKhVFkfJ5HTqktWt1+LByOUURB/Iw5wi+RrJZVSpqa9Ozz2r/frW2Jpf0o6O6917t2ZMc1KF5zCmW9DU1e9huZEQPPqivv1Yup3JZmYw2btTu3Wpq4kAe5hDB11q8dM9kNDGhnh4NDJw/gXf77XrpJV1/vSqVZMIHqoslfa0FgTIZhaE6OvT663rySTU2KgxVKOjjj3XXXRoYUDarKGLHDtXHDJ+a+A8fBBoYUF/f+R27QkHbt+vxx5PvhQzfyagegk9TFKlSUS6n0VE9/LA+/PD8jt199+m559TRQfOoJv4rpSkIkpt2XV0aGNDWrcmOXaGgV1/V6tUaHk4eyOFrGVVB8OmLH6Rtb9fzz2vPHhWLmp5WQ4O+/FLd3dq3L7lpzzN2uHQs6eeL2Uv6oSH19uqrr1QoaHpakh55RDt2aNEiDuHiUhH8/BJfsY+Pq69Phw6df21Od7eeeUY33EDzuCQs6eeX+PUY116rgwf12GMKQ1UqKhQ0OKh16/TWW8mj9XxL479hhp+PZu/MHzig3l799JMaGnTunFpb9cQT6u//22eAC0fw81R86iaT0ZEj2rRJn32mfF7lsqJIGzZo1y4tWcKBPFw0gp+/Zm/jlUp66KHktTnxQzi33KK9e3XTTekOEAsPi8L5K96NiyK1tenll7Vzp9rakjfhfv651qzRwYP64w926XERmOEXgPhcfTarwUH19enYsWTHrrlZH32km2/mlZi4UMzwC0D8vE25rO5uDQ5qzZpkf37DBnV2JlfywIVghl9I4pn8zBlt26bRUQ0NqVDg1be4CAS/wMzuxp05o+bmS649fl1+JsMiwQTBLzxM6fjPOKW58FSt9ulpHT+u8XF1demqq6r0j2JeYyFnKT7WMzWl7dv1wAN69920B4QaIXhj2axKJZVKmphIeyioEYK3FF8VNDdr6VIFgX79Ne0BoUYI3lhjo4pFRZEmJ3ljpgmCdxW//r61VZImJzmda4LgLc3+bG1LiyRNTTHDmyB4V7PBB4F+/pk35pkgeFez9+2iSKdPs6Q3wcEbV/FZ2lWr1Nena65RPp/2gFALHK0FjDDDe4vfkhn/IAYMMMMDRrhp5yq+S//dd7rnHnV26oMPJHHrru4RvKu47UpFX3yhsTH98EPaA0ItELyreFuutVXt7QoCTU2lPB7UBMG7ioNvaVFjo6JIv/yS9oBQCwRvLIrU3KzmZkmanEx7NKgFgncV/0hlEKipSfozeG7a1TuCNxbfqC8WlcupVEp7NKgFgrfX1KRyWcePpz0O1ALnq4zF9+1WrtTYmG68Me3RoBY4aWcsft/177/r7FkVi8nFPOoawQNGuIYHjHANbyxe0p88qbffVqmk++/XsmX8rk19I3hj8W9QHz2qTZskaeVKgq97LOmNxWF3dOjKK1Uo6LffJM7e1DmCt9fWpiDQ9DTH6R0QvLF4hl+8WA0NEqdrLRC8tyhSsahCQRJPyDogeGPx8zOSGhslgrdA8JAWL1YQsKR3QPCQFi1SFOnHHyWCr3McrfUW77qPjalc1uWXq72dffj6RvD4C2qvdyzp8RfUXu84WgtpclLffKMo0ooVySvuUKeY4b3Fb7n69FOtX6+tW/X995L46eg6xgzvLV7DZ7M6dUrlMlvxdY8ZHtJllymbVaWSPD+D+kXwkNrblcvp7FkemKt7LOm9xUv69naFoc6dSx6YI/j6RfCQ2trU1aUo0pIlEptz9YyDN5AknT6tIFBLS/KoLOoUwQNGuGkHSVIUcenugGt4SOK63QUzPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8D2kfxZe2TkdMAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "action": "('move', [8.79496201329721, -8.268795552827166, -23.91528650038011])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "55a9a98bc8619597b19e9a323c36be311065a0c33752d07364a8157161f47469"} +{"episode": 85882, "episode_seed": 4243163170, "split": "train", "timestamp": "2025-09-16T00:21:27.564789", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4243163170, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "action": "('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "action": "('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "action": "('move', [-7.945452711153766, 5.866923818040779, 56.08196109834])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4945931f0df100c874ccb7c9f43ad34c7cc1028e06a035f3410fcd5bead5a241"} +{"episode": 85883, "episode_seed": 1113284214, "split": "train", "timestamp": "2025-09-16T00:21:28.176855", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1113284214, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "action": "('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "action": "('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "action": "('move', [5.514540152694031, 0.5092319072781729, -56.62224560762264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f5bb1bab318e35499203c4eb5ac7dc2447308775d0ead8bc8c605e4d7fd120c4"} +{"episode": 85884, "episode_seed": 3533095185, "split": "train", "timestamp": "2025-09-16T00:21:28.783568", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3533095185, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "action": "('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "action": "('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "action": "('move', [13.710081931631322, 14.172774135154546, 17.489955952155714])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bdca9a1db0858c2e4ac58f3f16e3e9b83cabb50e6a43f068807983dce97e329d"} +{"episode": 85885, "episode_seed": 1319215546, "split": "train", "timestamp": "2025-09-16T00:21:29.390489", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1319215546, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "action": "('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "action": "('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "action": "('move', [-0.3733967152036226, 1.6446600149862336, -7.384660999409789])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "52bbe7350df4048ea3e01fd361f19e6e4d0b031eaa58cd99bfb8c7457d49b5f7"} +{"episode": 85886, "episode_seed": 2228192968, "split": "train", "timestamp": "2025-09-16T00:21:30.354490", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2228192968, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "action": "('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "action": "('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "action": "('move', [-22.930629280952527, -5.521692630783279, -42.84342113060897])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7ba5cbb8222f138e803dae313645452e8ad1abd038ed02745d39a1ea801145ac"} +{"episode": 85887, "episode_seed": 2671826049, "split": "train", "timestamp": "2025-09-16T00:21:30.970101", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2671826049, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "action": "('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "action": "('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "action": "('move', [-0.8458677415561673, -4.694582361735052, 32.16100275175766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bc8c03fa2d97d2c1f4c500193de3e1cef31e5413514117e628d7b4bd87b12754"} +{"episode": 85888, "episode_seed": 3391908966, "split": "train", "timestamp": "2025-09-16T00:21:31.579369", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3391908966, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "action": "('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "action": "('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "action": "('move', [3.7928454494069217, 5.129205075077696, 46.7921135919668])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGsUlEQVR4nO3bu8tl1R3H4d/a57wvChPieEE0hSQgaDOEBEkxvoqDYDdgglWu/4I2IsobCy91jBGxUP+GGUGHwU5FxBCviZAhKeJtCi+tM2fvleJMMSRgt/cRv8/TnmKt5sNv7bX3ab33AjIMu94AsBzBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5D1rjcA0aapNpuqqvW6hvnnb+u9z74I8N3gSA+7sR21H31UJ0/WyZN19mxV1TjOu6jgYZceenA6fbpOn65/nquqmqZ5lxM87EDv1Vq9/HI/9dJwxRXVWt/fW2Jdl3awtN5rHOvChXr0cJqmYTO2I0f6j2/qVUNr8y5twsPSxrHW63rx+emd91bDqm0u9l/9st151zCOtVrNu7TgYVHTVMNQH/+nP/tsu3ChV9X117f7H6j1+tI5f1aCh0Vtg3/h+f7hP2pvr01j/82vp2PH2mZT6/mfsL2Hh+Vsa//7h/2ee+qTT1trdeMN0zvvDldfXVWzj/cy4WFJrdU01V+eaR9/0larmqb+8MPtmmsu/bTEBkx4WMY2tbffroODvtm0aaqfHpvefGvY319uDyY8LKS1aq0OD+ubb1pV9V6PPTHs79eSM1fwsITtJ3SnTtUrr9R6XeNY995bd9+9aO3lSA/LGMfqvX7+s+n9D4bW6sor68yZOn68Fnj3fjkTHma32dRqVU/9qb//wdCGmqb63W/r+PFLl/ZLMuFhXuNYrdXnn/U77+jn/j1U9R/d2M+ebbfc0qZp0fFeJjzMrbUahnr66Tr3r2EYamjtD7+vW2/dQe1lwsOsto/o773bT5yor75uvddPbhr/+rfVkR/UMCz07v1yJjzMpfcahho39dSf64sv2zBU7/XQI8MPr9pN7WXCw3y2d3Kvv9ZvP5jW69VmU7+4bXzjzdX2hfxO+D88zGV7A//HR1vVqqrWq/7Ek6uFr+X/d0u7XBy+v7ZH5+eeq1df7Xt7tdn0++6rg4Pe+9If21xO8DCL7aH9uuvq5pvbxYt17bXt/gfa3n5b4E/v37Yrz/Awq/Pn6/HH6+jROjy89IpuhwQPQRzpYV7fqZEqeJjXDp/Y/5/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIch/ARvfCSbtSHP9AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d69f8ad152473e7c07477158b4ce20886fce688aee369634af68970949395419"} +{"episode": 85889, "episode_seed": 318022368, "split": "train", "timestamp": "2025-09-16T00:21:32.570174", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 318022368, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "action": "('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "action": "('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALY0lEQVR4nO3dW2wVVQOG4W9mF2rLwSLFQ0ENYsFItBEEFVDRgqiIJxLDlRLjhTGBkKgQghoN0Qs1SlC88QYToyjGEIF4iGAoYktKglolooiiSUGkHIVauvfMfzETCvwIgtp9+N7nrsMuWWz6ds2sWZ0GcRwLgIcw3wMA0H0IHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4FLo4VhTlexCloizfAwBOJkk9ZGL6l/BGoqCFocJQa9dq4ULt28ds/08xw6NAxbEkbdum11/XwoX64w+dfbYeeEC5HBP+mQvi5H0FCkwUKQz1/fcaNkySwlB1dfrwQ517rqJImUy+x1ec+FaJAhWGimMNHapHH00/3LhRS5YoCJjhzxwzPArd779r+HC1tSmOdf75am5WTY0kBUG+R1aE+FaJghbHGjBATzyhKFJZmbZv18svKwio/Qwxw6OgJVfye/boxhvV0qIwVHm5Nm5UbS3ZnwlmeBS0MFQUqV8/zZmT5t3ernnz0it8nC6CRxGIIt1zj+rr0/X5lSu1erXCULlcvkdWbAgehS6Z5CsrNXOmevVSFOnPP/Xcc+kMzzx/WggeRSCTUS6nKVM0aZIkhaEaGvTmm8pk2Hh3eggeReDI+ty8eerbV5I6O/XKK9q9m+ZPD8GjOCSrdCNGaNq09Eq+uVlvv53vYRUbbsuhmESRduzQFVdo715JGjhQ69frggvSu3c4Jd4kFJMwVE2N5sxJJ/lff9Vrr0nsuvvbmOFRTJKv1t27NW6cvvtOYaizzlJLiwYPpvm/hRkexSQIFMfq319z5yqTURjq0CE99VR6HKdE8CgyQaAo0p136oYblM0qk9HSpVq3TkHAPpxTI3gUmST4qirNmKHevRXHOnxY8+crijirPzWCR/EpK1M2q8mTuzbbrlqld99VGCqbzffgChvBoygFgXr21GOPqV8/RZGyWS1apD172IdzCgSPopRsth03TnfdpThWJqPPP9c770jsrj8pbsuhWCVfub/8oquu0r59klRbq9WrVVPDPpy/xLuCYpUs0V18sWbNSgvfvFmLF3f9Ef4fMzyKWBwrjtXWpjFj9OOPymRUUaFvvtFFFymOyf4EmOFRxJKfohswQHPnpoUfOKD58yWu5P8CMzyKW3L7ffdu3XuvGhoUhurRQ2vXatQoruRPgPcDxS150FX//poxQ5WVCkN1dOjpp5XLMcmfAMGj6GUyymZ1222qr0832372mZYtS4/jaASPopdcyffqpVmzVFWlOFZ7u159VXv38nDb4xE8SkEymd98syZPVhSll/FLl/Jk2+OxaIcSkazS//CDRo/W/v2KItXVaeVKDRzI6l0X3gaUiORH4mtr9cgj6ST/1Vd66y1uyB+DGR4lJY61a5dGjFBrq4JA1dVqbtagQRLb7yQxw6P0HPnlk2Go337TCy+QehdmeJSU5Mu5rU1TpqipSZmMevZUU5OuvJJze4kZHiUmedBVdbVmzVJZmYJA7e168klFEcv1EsGj9CTPwJg8WZMmKZtVGGrVKq1YkT4nxxzBo9QkD73r3VszZ6pPHwWBDh7UggXav5+H2xI8SlFZmXI5TZig229XLqeyMjU26v330+fkOGPRDqUpWaX/9ltdd50OHkz34SxfrkGDFMe++3Bc/90odcku+uHD9dBDiiJVV2vSJFVVdf0iWk9l+R4A8N+aPVv792v2bA0dmh5xDp5TerjgPrw4pUfJi2N1dlJ7ihkeMMIMDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITg/cSxcjlFUb7HgTwI4jjO9xiQJ52dCgJlMgqCfA8F3YQZ3s/hw/ryS+3bpx49VFamIFBnZ77HhG5Slu8BoBtFkcJQzc2aPl1DhmjMGF17ra6/XhUV+R4ZugnBO8nlFIZauVJbtmjLFn38saqqdNllGj1aL76oHj2OefGRaz1O+EsI1/BO4lhBoJ071dSkZcv00Ufavl2SRo5UY2MafGurysvVv3/XZ0WR4lhhSPklgOCNHTyopia98YYmTND99yubVRhq+nS9956mTtWUKbrmGg0YoMrKfA8U/xqC95P8jx83XSeX921tuu8+rV6dHuzbVxMn6pZbVFen2lqdc056PJuVxPJ+MSJ4b3Gcnucn6XZ0aMMGrVmjDRvU2KgdO9KX9emjBx/UggXK5ZTJdH16LqcgUMi9nqLBop23I6knyss1dqzGjlVHh1pa1NKihgZ98olaW9MXRJEyGS1erIoK3XGHevU65m9LvneggDHD41i5nHI59eyZftjRodZWbdqkyy/X4MGKYx06pEsv1a5duuQSjRypu+/Wrbeqb9/j/x7iL0gEjxOJ43Tv7dEn8Ml1/qZNmjZNW7aovT093q+f6us1dapuuknnnZe+TFIuly7vc85fMAgeJ3XcRf4Ra9bogw/0xRfaulU7d6YHH39czz+vzk5lMursVHl5epw9vAWD4HH6jj5dX7dODQ1qbNRPP+mllzRxouJYHR16+GENGaKrr9aoUaquTl/c2Zlu5kWeEDzOSBSlK/bJ6frhw9q6VRdeqMpKBYHWrNH48ZJUUaERI1RXp/HjNXGiqqryOWYQPP6R5FL/6EW+xObNWrRIy5fr55/TI+XlGjxYw4bpmWdUV9d1nY/uRfD4NyTlH739Nop04IC+/lrLlmnFCm3bpo4OSfr0U9XXH38/H92F4NEt1q/XkiXau1fPPquaGmb4fCF4/Gf4ebvCw047/GeO7jyKFEXpzTnkDzM8YITrKMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkf8BA/nq8U0cggwAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "action": "('move', [-1.8327026221745017, -3.017873154820208, 21.897654091175564])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHz0lEQVR4nO3c3Y9U9R3H8e+Z2QWpLEi0xZs2sTbRCxJwK0UCtDTirrWNFy0mpPW/8a8hDVIfSNHEis1ujV0aGhovxBuB8lR7Y9Yas7NzTi9m3FWgSZ/YET6v1+WZcya/5Mx7zjm//GaarusKyNCb9ACAjSN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCL4LF1XbVtdN+lxMCFN5+RHGg6rqnq9appJD4UNNDXpAbBBuq6api5erE8/rUcfrfvuG28fDKppqt9XfgRX+AhdV11Xw2EdO1YnT9Yvf1U/PFh7dre7dve+sWW8z2BQvZ5r/j1O8BGGw+r368KFev75+vDDatuq6h7c0e0/2Ns72+4/0Bw61Kxd89u2mkb29ybBR1hdrampOn68jh2rqvE9/Orq6MV2x47e44/X7Gw991w980xNT68fuPbp0P+9QfARRid5ebkWFurkye71V9obf+/feua3bq1vPtgeOFhHX+g9/XRt3br+0mhu3w3/3U7wiT7/vBYX69fH2zNv1/WPe598cpt9dmxv5+brF0d7P9jbfWtns+WLR/3RfYFJvruU4IOMTvVNoZ45U6dOde+911y4UDdujDdOTdVwON7//i3DZ3/Sm3+22bOnHnustm0b77OyUv2+a/5dRvChRvP2X56cW1yshYXu7Nnm3cXuyrVutChr06YarFbXVlXNzHSHDjVPPVX79tX+/TUzMz5wOKymqZ41XHcDwacbDqtta2pqXP7qav3lfHf+fJ15p/ntqfbGx01VU1XT0zUYjA/Zvr127eqe2N0emevNza3f7Y/c9j6CrwnBU/XFktu2XZ+iX1mpq1e799+v11+rV0+2V//WH21vmrWp+25mpnn44W7v97ufH+3Nza1f89fe0A3/143g+YpRqFXV769v/Owf9celOnGi3nyzrl2r5eVudNlf0+/X9m3t4cPd0Rf6Bw/WQw/VTZN8oyU9TJzgub1bH/JHFhfr1ZPt7xebjz5qrl8fl9/vjxfnV9XmzTU3Xz/7aT052333e80DD4y3D1aq6ZnenzDB82+5dQXOu3/o3jnTLv2pd3apLl1en+QbDkfxd5un2h8f6R880O19svbua3bsGB+4uir7iRE8/5nRo/6Xb9HPnas/n+sWFps33qgrV8YbN22qwWD0NdFtvb+emG327G4P/6g5Mt9sm/kXb82dJ3j+G6NH/eGwpqfH1+rBoC5dqg8+qNOn65XftJcuj78Per3xpMCo/G9/p5mdrZdeqkceGT8ysJEEz/9k7R81pqbWtywv1/nz9fKJ9tRr3V+v9T/77CuHNE1du1Y7d278YBE8/yejSb6qm2fjl5bq5RPt27+ri5d7169XVc3P1+nTExghJXjuhNv+xm5pqd56q1tYaF58cfyjPTae4LmzRpN8ox/kjqys1KZNEx1TMMGzQW5aw8tECJ4NZaX9ZPkTSzaU1CfL+mYIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8k+wtatWUnlJtAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "597fcdf7efffabae1f551f5a09d53ae95ce7911c005e80cc160f77c538b89aa8"} +{"episode": 85890, "episode_seed": 2598423218, "split": "train", "timestamp": "2025-09-16T00:21:33.181022", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2598423218, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "action": "('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "action": "('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKBklEQVR4nO3dz49dZR3H8c+5c+90Op0ppYpkQgomUmxSLRbCDyWGxJ0L14S40zV/gX+CJv4FJi5M/ANM3LnRaAqiCBR/QFsEBIVaZirtOEM797g4hxYMg3Tmljn4fb0yi7m3N9MnM32f8zznznnatG0boIbRXg8A+OQIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQsZ7PYDBa9vrH01z/fnR6PrDtk3ygT+FQWra7h8ru9S2mU4znX7guDAaZW7u+guu/ZFDA3tE8Nvo4nzzzfz0pzl8OEtLWVzMvn1ZWMi+fZlMcuRIDh3qXzydZvSxF0dbW/1xodM0GY/7Q0B3UEgcF7hJBL+NruFf/jKPPvqB5xcXc/BgJpN8//t57LEk2dzMD36QV17JrbdmcTH792dpKQcOZH4+d96ZRx7pjx2XLuXdd7O8nMnkBsYwnWZuTvnMijX8NrrGlpfzwAPZ2srqai5ezOpq1tezvp4k//53/8qLF/OjH+Xllz/ki3zjG/nFL3L1aiaT/PjH+clPsriYhYXs35/9+3PoUJaW8rnP5fHHs7KSJJcu5aWXsrycgwdz8GAWFm5g4gAfg+C30QX/pS/lZz/LdJorV65/rK/nn//Mfff1r5yfz3e+k+efz/p61tayupq3387qajY2Mh4n713S+8Mf8uSTH/IXLS3l61/vg//Tn/LNb/ZLhvn5TCa5/fb88Ie5994bWzXANgT/kbrkPtqhQ/ne9/pl+bXrdtNpLl/uU+/m8N/+do4ezb/+1c8U1taytpa//z23355bbum/1MZGVlczGuXq1f6Z117LxkaSWHkxC9bw/8u178/7v1FNc1PW1aur+fWvs7mZ1dW8807On8/iYr773ays/PebgrAjgv+kvP/7/AkcO+DDCH5IurXAtc87rtIzO4KHQlz4hUIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChnv9QD4dJtOM52maTI3t9dD4WNo2rbd6zHwadW2aZq9HgQ3whmenehSb5r85S85dSqHD+db39L/p4AzPDesC/vSpTzxRH7+86yu5qGH8qtfZTrNyEWhYfPzYSem0xw4kPE4b72VK1fy4otZX89oFKePgRM8N6xpsrWVpslXvtJP7NfX89vfJhH80Ameneim7vfck+XltG3W1/P004ngB0/w7ER3ce7Ysdx1V5JMp/0Zfjrdy1HxPwmenehm9XfckSNH+mfOncuVKxmPneQHTfDsRBf8aJRjx/pn3nwzf/5zmsZJftAEzw51y/iTJ7NvX5K89Vaefz4xqx82wbNDXfD33Zdbb02SjY2cPp24bjdsgmeHRqNMpzl6tA8+yYsvZmvLMn7QBM/OtW0mkxw/3j88dy6vv+7XbwZN8Oxc9+bcww/3n5w5k3PnEsv4ARM8O3ct+PE4o1HeeacPnsESPLt18mQOHOin8S+8kLZ1b/xwCZ6d687wi4s5frwP/rnnsrbm3fjhEjy71bb52teSpGnyzDM5f36vB8T2BM+udPfGf/WrSTKZ5MKFvPHGXo+J7QmeGTh5MnNz/TT+979PYieMgfJjYQYOHcqxY7l6NUmeeqr/hAESPLvSXbdbWsoDD/QPT53Kxkbid2wHSfDsVttmPM799yfJeJxXX80//rHXY2Ibgme3uqX7l7+cJG2bts1TT+3tiNiW4Nmtbla/spI77+xX76dOmc8PlOCZjZWV/iSf5De/sUH9QAme3eruk11e7m+ba5qcOZOLFzU/RIJnBra20rb54hf7h5ubefLJxG1zwyN4ZmA0StPk7rtz+HDaNpubtqkfKMEzA93s/ejRfOELSa5fqHeGHxrBMwPdJrYrK/n85/tnzp7N5qbtrgZH8MxAF3xyfRl/4UKee859soMjeGaju1vm3nuzuJgkFy7YtXqIBM9sXAv+ttuS5MqVPPts4rrdwAie2RiNsrWVu+/OZz/bP3P2bKbTTCaaHxDBMzPdZhjXdq1++eWcPZumEfyACJ6Z6d6ce/DBfnr/17/mzJkk/fU8hkDwzEzX+UMPZf/+NE3W1/vgGQ7BMzPdGf7EiRw40D/84x/7u+XN6gdC8MxS22Z+PidO9DfGnz6d8+ct4wdE8MzetV2rT5+2+82wCJ7Z64KfTLK2ltde2+vR8D6CZ/ZOnMj8fP87ds88k9i1ejD8HJil7rrdLbfk+PF+u6unn7aJ7YAIntlbWMjDDydJ0+R3v8vly3s9IN4jeGasbTMa5cEHMx5ncTF/+5tl/IAInhnrpu7dlP7y5Sws5KWX9npMvGe81wPg/023jD9yJE88kc98JseP9//VpD0th6BpXUvhJuhupGFonOG5Kbq9bra20jSZmxP/UDjDc7M4yQ+Qi3bcLGofIMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+Q9+mznrwgz+hAAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKBklEQVR4nO3dz49dZR3H8c+5c+90Op0ppYpkQgomUmxSLRbCDyWGxJ0L14S40zV/gX+CJv4FJi5M/ANM3LnRaAqiCBR/QFsEBIVaZirtOEM797g4hxYMg3Tmljn4fb0yi7m3N9MnM32f8zznznnatG0boIbRXg8A+OQIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQsZ7PYDBa9vrH01z/fnR6PrDtk3ygT+FQWra7h8ru9S2mU4znX7guDAaZW7u+guu/ZFDA3tE8Nvo4nzzzfz0pzl8OEtLWVzMvn1ZWMi+fZlMcuRIDh3qXzydZvSxF0dbW/1xodM0GY/7Q0B3UEgcF7hJBL+NruFf/jKPPvqB5xcXc/BgJpN8//t57LEk2dzMD36QV17JrbdmcTH792dpKQcOZH4+d96ZRx7pjx2XLuXdd7O8nMnkBsYwnWZuTvnMijX8NrrGlpfzwAPZ2srqai5ezOpq1tezvp4k//53/8qLF/OjH+Xllz/ki3zjG/nFL3L1aiaT/PjH+clPsriYhYXs35/9+3PoUJaW8rnP5fHHs7KSJJcu5aWXsrycgwdz8GAWFm5g4gAfg+C30QX/pS/lZz/LdJorV65/rK/nn//Mfff1r5yfz3e+k+efz/p61tayupq3387qajY2Mh4n713S+8Mf8uSTH/IXLS3l61/vg//Tn/LNb/ZLhvn5TCa5/fb88Ie5994bWzXANgT/kbrkPtqhQ/ne9/pl+bXrdtNpLl/uU+/m8N/+do4ezb/+1c8U1taytpa//z23355bbum/1MZGVlczGuXq1f6Z117LxkaSWHkxC9bw/8u178/7v1FNc1PW1aur+fWvs7mZ1dW8807On8/iYr773ays/PebgrAjgv+kvP/7/AkcO+DDCH5IurXAtc87rtIzO4KHQlz4hUIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChnv9QD4dJtOM52maTI3t9dD4WNo2rbd6zHwadW2aZq9HgQ3whmenehSb5r85S85dSqHD+db39L/p4AzPDesC/vSpTzxRH7+86yu5qGH8qtfZTrNyEWhYfPzYSem0xw4kPE4b72VK1fy4otZX89oFKePgRM8N6xpsrWVpslXvtJP7NfX89vfJhH80Ameneim7vfck+XltG3W1/P004ngB0/w7ER3ce7Ysdx1V5JMp/0Zfjrdy1HxPwmenehm9XfckSNH+mfOncuVKxmPneQHTfDsRBf8aJRjx/pn3nwzf/5zmsZJftAEzw51y/iTJ7NvX5K89Vaefz4xqx82wbNDXfD33Zdbb02SjY2cPp24bjdsgmeHRqNMpzl6tA8+yYsvZmvLMn7QBM/OtW0mkxw/3j88dy6vv+7XbwZN8Oxc9+bcww/3n5w5k3PnEsv4ARM8O3ct+PE4o1HeeacPnsESPLt18mQOHOin8S+8kLZ1b/xwCZ6d687wi4s5frwP/rnnsrbm3fjhEjy71bb52teSpGnyzDM5f36vB8T2BM+udPfGf/WrSTKZ5MKFvPHGXo+J7QmeGTh5MnNz/TT+979PYieMgfJjYQYOHcqxY7l6NUmeeqr/hAESPLvSXbdbWsoDD/QPT53Kxkbid2wHSfDsVttmPM799yfJeJxXX80//rHXY2Ibgme3uqX7l7+cJG2bts1TT+3tiNiW4Nmtbla/spI77+xX76dOmc8PlOCZjZWV/iSf5De/sUH9QAme3eruk11e7m+ba5qcOZOLFzU/RIJnBra20rb54hf7h5ubefLJxG1zwyN4ZmA0StPk7rtz+HDaNpubtqkfKMEzA93s/ejRfOELSa5fqHeGHxrBMwPdJrYrK/n85/tnzp7N5qbtrgZH8MxAF3xyfRl/4UKee859soMjeGaju1vm3nuzuJgkFy7YtXqIBM9sXAv+ttuS5MqVPPts4rrdwAie2RiNsrWVu+/OZz/bP3P2bKbTTCaaHxDBMzPdZhjXdq1++eWcPZumEfyACJ6Z6d6ce/DBfnr/17/mzJkk/fU8hkDwzEzX+UMPZf/+NE3W1/vgGQ7BMzPdGf7EiRw40D/84x/7u+XN6gdC8MxS22Z+PidO9DfGnz6d8+ct4wdE8MzetV2rT5+2+82wCJ7Z64KfTLK2ltde2+vR8D6CZ/ZOnMj8fP87ds88k9i1ejD8HJil7rrdLbfk+PF+u6unn7aJ7YAIntlbWMjDDydJ0+R3v8vly3s9IN4jeGasbTMa5cEHMx5ncTF/+5tl/IAInhnrpu7dlP7y5Sws5KWX9npMvGe81wPg/023jD9yJE88kc98JseP9//VpD0th6BpXUvhJuhupGFonOG5Kbq9bra20jSZmxP/UDjDc7M4yQ+Qi3bcLGofIMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4K+Q9+mznrwgz+hAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "action": "('move', [-6.374917917266896, 9.785398876501207, -52.98144227476481])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "67bf5e23baa73a60274ecedccdc1fc13a4387126dc6ca381d5c54d9447fde682"} +{"episode": 85891, "episode_seed": 4113029986, "split": "train", "timestamp": "2025-09-16T00:21:33.786508", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4113029986, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "action": "('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "action": "('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "action": "('move', [14.392283408219377, -0.3110962381259396, -56.64494884227468])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALM0lEQVR4nO3da4hU5QPH8d+Zi2tqmyUJhUaRCF1eWGZmQlaURCahCxJhWdgSkWWlvmhDCQMvWJQotmSg9iIiS3e7mpUaaaEigmkgvVgCocsLL3ldZ+ac/4vnkH8vubfZnVl/38+rccSdx9HvPOfynDNRkiQC4CFT6QEA6DkEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEj3MlSaVHgG5D8DhXFElSoVDpcaAbEDzOUirpr7+0eLHuuks7d6bP4JKRq/QAUC3iWJmMWlo0aZL27pWklSt1++29bQs/SVQqKYqUzVZ6KNWIGR6pKFIca9Ag9e2rTEbZrJqbtWuXcjkVi5UeXPtFkXI5ZbO97YOqhxA8UlGkJNGVV2rOHEmKY/39tz74QMWiMpnek8+pU5o+XV9/nf59cLYo4U3B/4ljJYnuvls7diibVU2Ntm7VbbelG/xVrVhULqc339ScObrmGq1fr9Gje8O4exTvBc4Sdn7nzUsfnzihd9/tDdWUSsrl1NKi5cuVyeiOOzRihEqlqh93T+PtwFnCObnx43XffenG/KpV2rcvnfmrVxjckiX6/XfV1mrhQtXUUPv5eEdwriRRPq85c5TJKIpULGrBgvRxlQrT++efa+1aSXruOd1yi5KkikdcMQSPc4XJctw4PfRQulG8bp127z7zW1Xq9GkdOaJrr9Xs2Ypjar8gDtrhAkolZbP67DPV1alUUpJo0iStW5c+X3XiOH2wfbskjRlTwbFUOYLHBYT/FIWCJk/Wl18qilRbq+ZmjRtXfc3/u+l+/gOch016XEAUqVRSnz569ln17aso0pEjWr5chcKZ2bRaRJF++UXHj6crh6j9oggeF5bLKY41YYLGjUtPy33/vbZsUT5fNQvvkkRxrJYWjR2rqVP1668stmkTweM/JYkyGb3yivJ5STp0SKtX6+TJqll4F8Y3b56OHtWmTTp5kuDbRPD4T9ms4lgPPqj771ccK5dTU5N27FAmUwUb9mGRwLff6tNPJWn2bI0cqTiusgMMVYfgcTFRpCjS3LnpL0+c0IoVam2t9CSfJMpm1dqqhQt18qRuukmzZrH33h4Ej4sJ28hjxmjy5HSt+scfa9euSg8rXAC7erU2b5ak+fPVr58kgm8TwaNtmYxmzVJNTfrL+fPTmb8ywt7FH39o+XJJevhh1dVJ1N4uBI82hEl+5EjV1alYVDarb77RDz8oSSqxVR9esljUkiXau1e1tXr9dY7VtR/Bo21xrJoaPfOMamvTPeUwyVegsrBpEUUaP15Dh+rJJ9Nrd5ne24eVdmhbmMzjWNOm6cMPlcmoTx+tXatHHunxhXdhKKH5Awd0xRW6/PIefPlejxkebQtr2HI51ddr4EAliU6d0tKlKhR6fMM+itIL9+JYQ4ZQe0cRPNolm1WppHvv1fjx6RT7889qblYu11O3tQ3bGEeP6v331dJS6RODvRXBo13+vSxl9mz1768o0vHjWrVK//zTU+mFK3UbG1Vfr8ce08GDHKvrBIJHe4V99VGjNGFCuoW/aZM2b+6R4EPtv/2mxkZls7rqKtXUsNKmEwgeHZMkmjs3vbTm1Ck1Nuro0W6ea8OPzmS0bJlaWnTZZVq6VP37d9vrXcoIHh0Qjo7fequeeEJxrD59tGGDfvyxmyfasEJ+61atWaMk0cyZGj6c6b1zOC2Hjgmh7dun0aPV2qpiUWPHavPm9Iq67nq9QkFTpqipScOGads2DR5M8J3DDI8OSxINH66nn05X12/bpq++Sp/vLl98oaYmRZEaGjR4MCttOo3g0TFhdz2f17RpuvrqNL033ui2C2bD9L5ggSQ98IDq6qrg0txejODRYZmMSiWNGKEpU9Kb4ezerY8+Su9pXWZhB/6ddzR1ql54IV3cyw3nO4t9eHRGWFG7c6cefVR//qkk0Z13atu2dBVcmTe3w4dKuONFJS/TuxTwSYnOyGZVKGjUKE2cKElRpN27tWZNOvmXR5KkGwzhRH8uV93fhtE7EDw6KXwj88yZGjRIkgoFrVqlw4fLdAOsYlFRpI0b9eKL3X/ezwjBo5PCvHvzzZo0Kb3l1Pbtam4ux8K7cCTw8GEtXaply9TQUJ4Rg+DRFWEyb2jQgAHpBvh77+ngwS5P8uHzY/16bdkiSTNmpE+iywgeXZLJ6PrrVV+vOFY+r59+0oYNXTuyFg7RHTigt97S6dOaOFGTJ5dzxN4IHl0Srod/6SUNGJDO6osX69ixLvzEcGRu5Urt26d+/dTQoHyelTblQvDokpDh0KF6+WWVSsrntWePPvmks5fThD+zf7/efluS6us1ahS1lxHBo6vCqvapUzVkSHr/6EWL0q+B6bDwpXavvqpjx3TddZoxIz0ZQPBlQvDoqnDu/cYb9dRT6bq4/fvV2Cipg+fkw/R+6JD27FGS6PnnNWxY9X1bbe9G8CiPbFaPP64bbkhXxO3d2/EfEabxgQO1caNWrND06cztZcfSWpRHoaB8Xq+9pu++06JFuuceJuZqRPAojzAZt7ae+YKarv4sdAOCR5mFY+oEW51ylR4ALilculrl+MdBOTGxVzmCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyP8ANRnW4d9/fK8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI0UlEQVR4nO3dzasddx3H8e/MuTcSLaJtbBqJKG50o3iTqmkxYkm1mp1PYFNBN1ZXtki1tKAWaoPRFuy6lFaRqCtdlCJE21BTY7GmKlTwaWEs9pLUNEIpae6d+bk41yeINMarOSef1+svGAbe853fb2bO6VprBWToz/cBAP8/gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggudC01qNY7V2vo9jJgmeC0pr1XXV91VVw3C+j2b2dM2VkAvLgw9WVe3eXfW3/vk7wXOBaK1aqxPP1pvfVE8/XZ/4RF1/fW3fXlWa/we39FwgxrH6vr78pWF5uS0u1j331EMPVde5sf8XgudCMAw1mdTjj9c3vtlXdcNQ27bVnj1VtbaeZ8rJYO5N9+SHob6ybzz+TE0m1Vr71PXD1q21uir4f2ENz9ybjvfvfbeu3dNOn+7Gsd65c3z4YD9dulvA/zNXP+bbONZkUn852fbtG0+d6rquFifjl+7o+94W/RkInvk2TXr/t7qfPNZNFmoYas913c6d1Zqb+TNwS88cm87w5eVaWqpjx6uN9cqXj0d+0b/mNdV1xvsZuAYy9/bureXlmvTVWt36+f61r62+V/uZmfDMq+mD95893q64soahG8fatq2+//3atMn9/L/lrDCvWquV1br1llpZ6fq+Nm6sm2+uV71q7ULAGTkxzKXV1ZpM6jv7h4OPdAsLtbra3vPucfduD95fhHPD/BnH6ie1vFxfu7s/fbrGsTZtqptu6i66yF7dixA882ccq+/qvnvHIz+vxQ01ju3D72/v2NmtrtRkcr4PbrbZtGPOTJfov3qy3vu+9tRTXdfVZZvbTx/vXv1qb9q8OBOeOTP9AO5rd7c//rEmkxrHdustpfazZMIzT6ZVHzrUdl3VhtYPY21fao8e7l6y4Xwf2Zww4ZknXVet1S23dKdX+6qqNuzdWy/Z4BfszpbgmRvjWFV1//116FAtLNQw1Eev63ft6tR+9tzSMx/GsbquTp6spaU6erSq1cWX1IEDtbS09nksZ8OEZz5MV+9797Y//KEmk+r6+uQna2nJe3X/GROeObC6WgsL9cSRds1768SJbhjaG9/QDvygn27OG+9nz7WRWTf9EuaFF+quu+r48WqtFha7G27otm5d+/ULzp4Jz6ybLtEffGD8wIdqbP3K6bri7cPBRyaTidr/YyY8M2063k+erC/v6154oW9j9X3t+8pkwwZL93PhnDHruq6+8+32o0O1uFirq+3jHxt3vtN7defILT0zrbU6dqy2vaUtH+v6vi6+ZDz84/71rxf8OTLhmV3Tqm+/vf1puev7Wl0db/pMve51a8/kOQcmPDNq+oD9scfq6qvr+edrHOvyy9sDD9TmzZ1n7+fMaWMWTf/jfRzrttvquefWftbixhu7zZu7lRW1nztnjlk0DLWwUPv318MPr30Pu3t3feQj1VotLJzvg5tnbumZOcNQfV9/fqZdc0078kQ/mdTGjXXgQO3Y4bX5/5YJz8yZ3sDfd38deaKbTGoYas+etmOH9+rWgQnPbJluyP3+d+MVV9SJZ/txrE2vHH755OTSS/1A5Tow4Zkt06S/emd3/Jlu+oeQX7itv+wyfyazPkx4Zsj0wfvhw+3KK9tk0g9DvW37+NDB7qUv68ofP68HO57MkNZqGOpzn62qvu9rcbF98fb+ZRf56H3dOIvMiunm/NfvGw892k0WamWlffD97ap3ea9uPQmemTCd4U89VV+9c23pvmVLffrGbuNGr82vJ8EzE4ahuq72769f/6YbxxqH8bpr21vf2q34M5l1ZdOOmTAd46dO1b331h131CteUT/8YW3ZYvW+zgTPzDl6tH7729q1S+3rT/DMFpH/Tzm1zJbpjt0wnO/juECZ8BDEhIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocgfwXJhSJI5fDsEAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a380ceb0db51dde4be59215e0ffa9dc7e2de362ce6198ef2958cfed7234ed5a8"} +{"episode": 85892, "episode_seed": 1283082329, "split": "train", "timestamp": "2025-09-16T00:21:34.395143", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1283082329, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "action": "('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "action": "('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "action": "('move', [1.1180603407153165, -0.24782920677359596, 57.82697731014937])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "02ef0c262d027c2d7dee89ee90bc3024b55f6a72a4c3a365ed5c45422d99f1d2"} +{"episode": 85893, "episode_seed": 151919903, "split": "train", "timestamp": "2025-09-16T00:21:35.344807", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 151919903, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "action": "('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALSElEQVR4nO3dXYhU5QPH8d+ZGbfUlCUQTMQoLQMlLEtcSoPNBC+KSt2yoCKRKIK8CaKLCqLrLiKhF1KsTFklpQzDIAvNl0g2xV5Esy3oZRHzJdBpZs7TxXP+5q667v6TZs/5fT9X43jzzMV3n2ee85w5SQhBADyUmj0AAP8dggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggfOIwSFoDRt9jgupiSE0OwxAPiPMMMD5xKCTp3SW2/pq69UrTZ7NBcNwQNnqdWUJFq/XosXa+5cdXdLUiHWwgQP9BaCymUdPaoVK1Qu66qrdMUVkpQkzR7ZRUDwQG+NhkolffKJtmxRo6Hnn9eoUcWY3kXwQC8hqFJRT4+WLVO1qvZ23X57YWoXwQO9xLYPHdIXX0jS0qUaMUIhFGM9L6nS7AEAQ0kMe8YMvfOO9uzRrbf+82YhcB0eOMPpHGLkBZrbI2Z44H/OzLtel6RK0QLhOzwgSWo0lCR64w0tWaL9+1WpqFxu9pguPpb0gJSmCkHVqtratGeP5s7Vxx+r0She88zwgJSmKpf15pvat0+Vip5+WirUXt1pBA97aapSSb//rrffVqOhOXM0Z45CUKmAdRTwIwGDE9teu1ZdXUoSPfdckU7a9EHw8BYX87/9puXLVa9rwQLNmKEkKeR6XgQPKE3V2amvv9Yll2jpUpXLBfvRizMRPIzFxXy1qk2bVK+ro0M33KA0Ler0Lg7ewFoMe/hwvfSSJk7UokUaPjy7W66guA4Pe6cP2BXuIO3ZCvuXDBioGHm9XvjaRfAwFY/W/fKLHnxQH3ygkydVLhf4atxpBA9LcWfutde0apU6OvTTT0oSggeKKB6S7+7Wu+9KUkeHJk8u6tG6Por/CYFzSBKtWKGDBzVihJ591mG7LuKyHMzE6f3gQa1cKUmPPKLJk5s9pv8OMzzMxDte33tPP/yg0aP15JPFe55UPwgeTuK23P79ev11SVqyJJvePdbzInh4iWHv2KGff9Zll+nhh1UqFfssbR+ctIOZEPTrr1q5Uq2teuyx7E2CB1A8LOnh5PTmXKPR1HE0DZfl4KFeV6WiF1/UyJF64AGNG+dz7f1MBA8Dsfbdu7VsmXp6VK/rmWc8g2dJDwNJojTV8uXq6dHYsXroIUkOB2nP5viZ4SUerevq0qpVkvT44xo3rtljahqCR6HFW2Li9H7kiCZM0KOPKgSHG+POieBRaPGL+jffaPlySXriCY0fLxldeO+D4FFocXp/+WVVq7rmGi1aJMnn5PzZCB5F19Ojzk7V61q8WBMmZD9E74rLcii60aO1erU+/1zz5zt/e484Wgsblhfe+2BJDwPxIK197WKGhwumd0nM8HBB7ZIIHrBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGClg8CE4PywQ6E8Bg0+S7JGh9XqzhwIMMYUKPj5E5+hRdXerVFKFJ2UCvRUw+Fdf1R136IUXtGlTswcEDDHFebZcmqpU0uHDuucebd0qSVOnau9enikG/KM4q974h+v777Vrl1paFILmz2/2mIAhpjhL+nJZIWjLFv31l0JQraaFC5s9JmCIKUjwcXr/80+tXaskUa2m6dM1caLEU0OBMxQk+OjAAXV1adgwSVq4UJdeqqJsUAAXR0GCj9P4++8rSdRoaNgwtbdLInigl4IEH3V2KgQ1GpoxQ1dfLbGeB3orQvAhKAR9+aUOHlS5LEnz5unyy9VoEDzQSxEuy6WpymWtWaNaTZJGjlRbm5KE9TzQVxFm+CRRtarNm7PXN92kadMUgkpF+HDAxZT7JhoNlUravl3d3ZIUgtrasvU8wQN95L6JeCfsxo06dkySWlvV3s5iHji3fAefpqpUdOKEduzI3pk0SbfdphCy3TsAZ8p98EminTu1b58kJYlmzVJLC/vzwLnlO/ho61b98YeSRMOHa8ECSXx7B84tx2WEoEpFR47os8+yf155pdraWM8D55Xj4ON23bffaufObEq/804uvwP9yXHwMfJt23TyZPb6vvskjtMC55fX4OPv2Bw/rvXrsxtmpkzR1KkSwQPnl9fgo0OHtH27KhWFoI4OtbQ0e0DA0JbX4OM0vnGjpGyXbt48SfwiPdCfvAYvKQStXi1J9bpuvDH7fRsA/chl8HEffu9e7duXXYG76y61tnLDDHABuewjBr9mjdJUaaphw9TWlj1tBkA/chm8pEZDH36YvZ45U9dfL7E/D1xI/oKP973u2qUff5SkEHTLLRozRvU6wQMXkL/g47p9wwadOCFJo0Zp1qzsvwge6F/Ogo9X4E6d0rZt2Tf5667jflhgoHIWfFzP79yp777L3pk5UyNHsp4HBiRnwUeffqrDhyVp1CjdfbfE/bDAwOQplHg/7PHj2rYte2f8eM2ezeV3YKDyFEqjIUl79mjXrmwBP3euKpXsd28AXFBugj+9Lbdjh44fz17ff7/Eeh4YsDy1kiQ6dkwffZTdDztpkqZPz94HMBC5CT5ehOvu1pYt2aPgFyzIHhQLYIByE3yppBC0eXP20xdJku3P84NWwMDlJnhJaZrdD1uracoUXXttswcE5E0+go/T+P792r1blYok3XuvRo/OZnsAA5SP4KN167L7YZNEs2erXOZ+WGBw8hF8fAL8unWSlKa6+WZNmSKxPw8MUg6Cjwfpurp04ED2Tnu7xo7leVLAoOUg+HjAbsMGVatKEo0YobY2SRywAwat0uwBXECc3ms1dXaqVpOkqVOz8/PcDwsM1lCf4ZNEpZJKJb3yip56SmPGaNo0tbaqXudELTBoScjPyZUQ1NOjlha1tkrs2AGDl5vg05QpHfi3chN8FAfL3A78f4b6pl0fpA78G6ySASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkb8BEZC1TXBsLDYAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "action": "('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "action": "('move', [3.8263837819082256, 1.4289140751669, 57.13018731432874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6854f68149108b2ecf26bc95c1ee98768aa237bcf3e9197de79c4d8ba97b55c6"} +{"episode": 85894, "episode_seed": 145791727, "split": "train", "timestamp": "2025-09-16T00:21:35.950908", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 145791727, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "action": "('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALIElEQVR4nO3dW4hVZQPG8WftwwiZh7LRJNCUNKQQysKcQEqx0RjMivJEiF0IhUmUBTaZczORERElJXYRIdJIhkYnJq2MDpoHSsykpFRCQx2UtFJn1uG7WMtpJorPw96zNz7/3+VsLxaL97/fd71r7WWQJIkAeMhV+gAA9ByCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMFXtSSp9BHg4kLwVS0IJLJH6RB8NYpjnTqlBQv07rvSmeyBC0fwVSdJlMtp5Uq98oqmTdNDD+nQISUJ8zxKIEgYR9UkjhUE2r9fN9+so0eVz6tQ0GefaexYxbFyfD/jwjCCqk4QaOFCtbUpCNTRoWee0dixiiJqRwkww1eRjg4Vi1q5UnPnKpdTR4fq6tTaqt69s3U+cIEYRNUijlUsau9ePfecokhRpL591dSkSy9lMY+SYRxVhXRPLgz1/PP64QfV1CiONXeuJk1SGCqfr/Tx4WLBkr4qJImCQB99pGnTFIZKEo0cqc2b1a8f9+RQSszwlZfWfvy4nnhC7e0KAiWJXnpJ/ftX+sguAtzP7I7gq0Vzs3btUrGoKNK8eZo8OfsiwPno7DwIOIldsaSvsLTqr77SxIkKQ0WRrrlGGzZoyBB25s9LFCkIshMXhtqxQ4cO6c47K31Y1aJQ6QOwliSKY50+rcce0+nTqqlRPq8lSzR0qKKIvbpzFMdKkuysHTmibdu0fLnee099++rnnzVgQKWPryoQfCVFkQoFvfCCtmxRPq/2dk2frvvu4z7ceUlP2e7d+uQTrVqlzZuzvw8dqn37NGAA10hiSV9B6Ry+fbsmT9axY0oS1dbq88917bUKQxX4Kj4b6aPIacm7d+u119Taqj17sk+nTFFDgxoaNGRIRY+yijCsKqNzZ76pSW1tyuUUx1q0iNrPQudunM7M6ulK6cABLVsmSb17a/Zs3XOPbrlF/fpJYsnUiRm+MtIRuGKFHn44W8zfdps+/li5HJfu/63rVbqko0f16qu6916NGqU4VhxrwQLV1OiRRzR0aPat2dGhfJ7aOxF8BaSn/JdfVFenw4eVz6tY1Natuv56LjP/W+c25qlT2rNHb7yhlhb99ptmztSqVX+/KqTz9KW/N+JsdsfasTKCQIsW6fBhFQoKQzU3U/v/k8+rrU2bNmn1arW0KIok6corVVOjMFSxKHV/QxArpX/DDN/T0sX8W29p1izl84oijRun1lb16UPw3aUL+HSWjmO9/bZWrNCnn2afjh6tKVM0darq6iRx7s4SM3yPSoflr7+qsTHbXe7fX83N6tOHfaUzOtPtPB1xLEk7d2a1T5igWbN0++0aPlxStslJ7WeH4HtOkmTbyU1N2rtXNTVqb9eDD2r8eH4Sd+Zh2K5X3WvX6osv9OSTGjRIQaDZs/XHH2po0JgxuuwySQpDBQG3NM4JS/qek05Fa9dq5ky1tytJdMMNam1Vba399N51QX74sNat0/Ll+u47JYlWr9b99//zBHV9fhbngm/HHhLHKhR05Iiam3X6dDYtLVmi2lpuvEtBoCjSt9/q/ff1+us6eFCSevXS6NHZblxn22zIXRjzgdZD0lEaRXrxRW3fnu3Mz5mju+7KvgjspJc36QI+CHTihObP15o1+usvSbriCt1xhxoaNH26crlu8z/X6heGJX1PSEfspk2qr9fJk4oiXXWVtm1Tba3fsrTrc3Lq8shhXZ127dKIEZoxQ/X1uvVW6cx2nd05KiOC7wlJovZ2jR+vLVuy6b2lRdOnG99L+uknNTXpuuvU2Jhdn3/5pbZv19SpGjZMUvbkXD7veoLKheDLLh3Pzz6rxkYVi+ro0KxZevPNv9ezLuJYJ0/qm2/08svauFG//67Bg7Vxo0aO7LYn1/X2O0rN8PKxR6UjeccOLV2qXE5hqEGD9PTTKhScXjWfnoUff9ScOdq6NfvjiBGaOFG9e//Lv0TZEHwZpe+3OHlSCxfq+PFsv3nxYo0aZfl+i169dOCAJE2YoPp6PfCABg/OPuqMnNrLjCV9GaX325Yt0+OPK44Vhpo0SWvW6JJL/C5O0+2KtWt19KhmzMgm9vR5I68TUWEEXy5p7d9/r/p6HTyofF59+2r9eo0ZYzm9q/vTNfxqtUI442WR/mo7DLV0qQ4ezN5F++ijGjPG+Cna9Dcw6Wv3i0Vqrwhm+LJI955aWjRzZnYf7qab9PXX2WU8UCkEXxZxrEOHVFen/fuVz6umRhs2aNw44xvvqA4sq0ovvYu8eLH27csW9vPnZ7UDlcUMX2LphtwHH2jqVOVyiiLdeKM+/FC1tfzHEqg8BmAppQ+DHjumRYuyZ0MLBTU2auBAp8dsUMUYgyWTPmYjqblZO3eqWFSSaM4c3X238c48qgxL+pJJF/PvvKN583TihMJQw4dr/XpdfTWLeVQLhmHJpNvvx4/rzz/V0SFJS5Zo2DAeD0cVYYYvmc4fem/cqKee0sCBWreO+3CoLgRfFm1tCgJdfjm1o7oQfImlW3fpFh3TO6oNwZfFP97jBFQJfg9fFqSO6sT2MWCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wPknQKO407ghgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "action": "('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "action": "('move', [2.7355579233746004, 0.01744953318516749, -11.349601528876102])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ed469d0e38f7ef2a1b8dcaf22a053718b50e6f6922c3c8cb97aa68a61bdf33f3"} +{"episode": 85895, "episode_seed": 2980955522, "split": "train", "timestamp": "2025-09-16T00:21:36.558287", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2980955522, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "action": "('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "action": "('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "action": "('move', [0.8412119730785733, 2.2212245299647155, 46.717463413457004])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0197c6852f936544036c24eb115c7df17fc11a87319a19038162e6d8eec11f07"} +{"episode": 85896, "episode_seed": 190473249, "split": "train", "timestamp": "2025-09-16T00:21:37.504023", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 190473249, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "action": "('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKW0lEQVR4nO3d36vfdQHH8df5YeuHGlpmrVZJs1idTVJb22oVavhjrJtEguymXQRREET0B3jTXUF4VQhRQakYc8zWSB0t2+rMaCxMKm2StfyxoCle7OycbxffrzvbWjkjOn7P6/G422ef784XxvP7/vH9fD5nYjAYBOgwudRvAPj/ETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUmV7qN8DLs7CQhYVMTmZiIhMTS/1uGDcTg8Fgqd8D52owWIx8YSHz85mcHMUP50LwY2bnzjz7bDZtyuWXj44My5+aMubz0gQ/HoZj+9GjufbaHDyYmZnMzOSqq/LhD2fDhsXTFhZkz38i+PFw4kSmp7NnT268MfPzmZsbHV+5MqtWZf363HBDrrkmr371aa8a9p/4CGBE8ONhOGn//vezbVsGgxw/fuYJr31tLr44GzZk69Zcd10uuSTnnbf4tydOZGLCah/Bj4/hrP7JJ7NrV3buzKFDeeqpPP/8Wc6cns6mTdm6NR/7WN72trz5zYt/NTeXiYnRgp9Cgh9Xx47lgQeyZ08OHsyjj+Zvfxsdn57OYJD5+dEf167Ndddl48asWZP3vjeTL154cfx4pqaM+XUEP2YGgwwGWVjI9IuXUBw/ntnZHDiQAweyb18ee2x0fDilP7naf+c7s359rrwyH/xgNmxYXO3Pz4/2+ZTfQPDjajiMLyzkVa8aHZmfzx//mD/8IQ89lN278+tfj44Ph/GTY/4b35jVq7NuXa69Nh//eC666Mx/dkj/y5Lgx95wwF9YOG2X7ujR/PWvefDB3Htv9u3LCy+c5YXDfb61a7NlS266Ke94x+KEPxl9QJjzLzOCXz6Gs/3BIFNTpx189tk88EC2b8++fTl6NM89d5bXTk/niiuyZUuuvz7velfe8IbFJcNwn294SR/jTvDL0/B/9YzBeW4ue/Zk9+4cOJDHHsuf/zw6fsac/7LLcv31+ehHs2ZNVq/O6163+HLljzvBVxiO/KeG+vDD2b8/Dz+cAwdy6NDo4NRUpqYWv+R/05uycWM+8IFcdVXWr8/FF4+OD6/hN9UfR4IvcnK1P/xCbujxx/Poo5mdzf33Z+/e0cHJyUxNLe7wX3hh1qzJ+96Xj3wk11yTVauW4M3zPyH4Rmct/+9/z5Ej+eUvs2NHfvrTxUt6JiYWt+5XrMill2b16tx2WzZtOu3uPcaC4Kud/Fb/1Gvv5udz7Fh+/vPs2JEHH8xTT51ln292NldfLfjxI3hG/nWdP7R/f+67L3v35vDhPPFEBoOsWpXDh23djSVPvGHkjIvtTg4EGzaM7sB95JHs3Ztf/CJr174Caje7+K8Y4XkJw9V+cto386de5LOUZP8yLfkHNa90k5OZns70dBYWMjeX+flXQO0nTuTxx0c3/ebF1QjnQPCcq8nJnHdeJieXNK7hz/7Tn7JxYzZvzn335YUX3Ppz7gTPy7PEcQ1/9r59efrp7N+fLVtyww25554888zi55DR/t+zhmcMPf987rwzP/xhdu8eHfn0p/Pd746W9AsLozsKDPv/wgjPGDr//Hz2s7n33vzgB9m6NUlWrhylPnygz/T0aRcM8SIjPGNoMMiJE6PNw2PHMjubdetyySUZDDI3l1tuyebN+cIXsmLF4vlG+ySCZ4wNnwFy8tvC4YM+77gj27YlyZo1+fzn85nP5PWvH52seVN6xtjExOgJfsNF+7Dnyy/PTTflggvyu9/li1/M1Vfn9tvzl78sfoHXzQjPcrRrV+64I7t2jW4DeM978qUv5dZbRzf3D5f6S3+14BIQPMvLqfP8n/wkd96Zu+7Kc8/lyitz//254ILFW/mHv5SzjOBZjubnMxiMsn/oodx1VzZvzic/OVrn79iRmZlcdtno5KblveBZvoa/oCtZXORPTubw4czM5MIL86lP5ctfzlvfOjp5+Fmw3NVNaShy8pdyDJ/gM/SrX2XFihw5kq9/PVdcka9+dfQo/4LaY4SnwhmT9kceyTe/mR//OE88kSQXXZTPfS4335yZmaxYcfYHgC4XgqfMyb26gwfzve/l7rtz+HCSrF2bnTuzatXohGX6pE7B02dhYfEu30OHsn17vvGN3HhjvvWt0f2Ap17Ps7y29ARPq+GD+IdL99//Puefn5UrRxftbtuWf/wjt92WdetGJw+/uh//8gVPt1On7sPB/De/yfvfnySveU0+8Yl85StZt240HRj/0V7wcPoA/vTTuf323HNPfvvbJJmczK23Ztu2fOhDy2AnX/BwNs88k29/Oz/6UWZnk2RyMrfckq99LW9/ezLGe/iCh9Odeu/tk09m+/Z85zuZnc2ll+ZnP8u73z3W1+QKHs7m1J38I0dy9915y1ty881jXXsED//JyadlZTns2EXw8NLGfFQ/leChyDL53ALOheChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyD8B2z+8LaRkYvIAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK7UlEQVR4nO3db2hV9QPH8c+9u3OUMzGN2NKosExYk8KgiBXSA/+Ugmhj1TTZHkydklBiCCFUlGGUqYtmTpEybf4ZzmoW+SQqqz0oLTLKTDEztDIzJvPu3vN7cE53M/3ln+a92z7v14M9kAPeC3uf7/d8z/ecxYIgEAAP8Vx/AADZQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB45EASdP5FNBI9sS6UUiykIop/IJoJHVnV0KC9Pn3yiRx/Vb78pFlM6nevP5CSR6w8AF0GgdFqJhFpaVFOjgwd19KhWrtTll0ejPbKAER7ZEE7d8/JUX68HHtDBgyoo0IYNWrlSeXlM7LOH4HHJhRft6bQWLlRtrU6eVH6+2tt1770aP14Sw3v2xALOrriUUinl5enYMdXWav16JRJKpRQEeugh1dersJD5fFYxwuNSCYKo9u+/1/33R7V3dCiR0IIFWreO2nOARTtcEmHtiYQ++kiPPKJ9+5Sfr2RSV16pZ59VTU10DLVnGVN6dL/wdyoW0/r1mjNHv/8e1X7DDXrlFY0dq1RK8Ti15wBTenSzdFqxmGIxPfecqqp07FhU++23q7lZY8dGt+KpPScY4dGd0mnF4zp5UnPnqqEhqjoINHGi1qzR4MHRNTxyhREe3SacqP/8syZNUkNDdIM9FlNtrZqaNHhwtPEGOUTw6AZBEE3Uv/hC48bpgw+Un69USoWFWrJEK1ZE8cf5dcs1zrf4rzJ7Zrdt06xZOnQoumgvKlJdnSZP7ryqR85xysV/Ek7a8/L08suqrOysfeRINTdr8mR1dFB7D8KiHS5euEQXBJo3T3V10TabVEpjxmjtWg0bxhJdj0PwuEhhzH/8oaoqNTVFw3g6rRkztHy5Cguj/tGjMKXHxQhr//ZbTZigpibl50tSfr6eekpr1qiwUOk0tfdEzLdwYTJ7Znfs0MyZ2rtX/frp1CkNGqSlSzV9erTN7pIvyLMv96IwwuOCJRJqaFBFhfbuVSKhU6d03XXavFnTpyuVkrLzuGtmTw8uBMHjfGV2yD/5pGbP1q+/Rk+/3XGHWlo0ZkwW98x2dGjfvugGQPjJKP/8EDzOSxhXW5tmzNAzzyiZjGovL9e2bbr55mwtyIdh//ij7rxTZWV69121tXHf7/wRPM4tzHv/fk2erLVrlUhEC/Lz5+vNNzVkSBb3zIZh79ypI0f06ae67z6NG6ctW3T0aOcgz2j//3FbDucQDt07d2rmTO3eHS3R9e+v559Xba2Uk+Wzv/5SY6Peekvvvx/9y8MP6/XXo4+STisIeCLvrBjh8W+CQImEGhs1ZYp2746W6IqKtG6damujsnKQVWGhqqrU3KwNGzRxoiQVF0eph/v+wkkIg9kZGOFxduEuOkkvvKBFi9TWFu2ZHTVKq1Zp9Gglk9Ht9xwIH9YJ//s//1Rrq0pLddVVCgIlkyovV1mZ5sxRQUHn8Yz2kggeZxVukksm9fjjWrZMsZgSCSWTmjBB9fUaOrRn7JnNbAkIhR969WpVV0vSyJGaPVvTpmngwOhgmmdKjzMlk8rL0y+/qKJCy5ZFs+NkUjU12rxZQ4f2mMfaw/NQ+LBepucbb9SECRowQHv2aO5cjR6tujodOsR9+xAjPE4TDt27dqmmRp99Fk3j+/XTokVauFDqLSPl9u1avVrbt+vECUkaMULz5qmyUv37S3+/hcvy6XyCRySzr6alRbNm6cCBqPYhQ/Tii5o2rfOqvkfrOs9/7z01NmrjRp04odtu044dGjCg8+2ZveP7dDOCh9Sl9ldf1RNP6Pjx6PbbiBGqr9c99/S2N0+Gf+wizP7jj7Vxo8rKNGVKdJ2/bZtKSnT99dHBvWPS0j0IHtLfo93Bgxo7Vnv2qKBA7e26+241NGj48JwuyP8XmaXFzEV+PK79+1VSoiuuUEWFHntM11wTHezxNK/dlAZnFY8rlVJxsRYv1sCBam/Xgw/q7bc1fLhSqd5ZuxQt6YXv1szE/PnnKijQ4cN66SWNGqUFC/TDD5IcahcjPLoKx/kVK3TggJYskfrMbPcfX+Obb7R8uVpadOCAJA0apJoaTZ2qkhIVFHRe3vRFBI/TZNLoI6mfKbNWt2uX3nhDmzZp/35JuuUWvfOOhg2LDuijfxyH4PFP6XSPudN+iaTTnRcqX32lrVu1dKnGj9drryk/P6o98/371pmP4OEqfFlHeOn+3XcqLFRxcbRpt7pax4/r6adVWhod3FdetU3w8NZ16h4O5l9+qVtvlaTLLtOkSZo/X6Wl0XSg94/2BA+cPoAfOaK6Om3Zoq+/lqR4XJWVqq7WXXf1gZV8ggfO5uhRrVqlpia1tkpSPK7yci1erGuvlXrxGj7BA6fr+uztTz9p61atXavWVl19tT78UDfd1Kv35BI8cDZdV/IPH9amTSoq0tSpvbp2ETzwbzJvy1JfWLETwQPn1stH9a4IHjDSR85bAM4HwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI/wAefwGEvufxOwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "action": "('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "action": "('move', [35.48575849432124, -8.65211659902314, 56.730075952988805])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIL0lEQVR4nO3cTaimZR3H8f91P+ccTZABnY3ZQl0l+JIUgpqZbqRaKL5gmGZZZkq6Se3FVoVuJs1F5aSbUYMcUQc3BaPjogYlJAttKmKMosFepBFHVJhznvtqcU7jSaLQhafn+X0+28MDF4fzPdf/vu77flrvvYAMw0YvAHj3CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ4Z03stL1fvG72O2dS63xyzaTqtyWSjFzFr7PDMjNW96aWX6o476h/712q3Yb0tgmdmrLa9dWvddFOdfdb4rW+OBw5Ua2s/HccNXNrMMNIzG3qv1urFF+vUU2v//rW833fM9PovDddcW5uPblU1jtW7Of+/scMzG1Y3pueeq6OPqnHsVbWwUPv+Mvn6re2k949bttQLe/sw1GRSy8s1nW7wav9v2eGZGaub/L4/1733jI/uaL/eU1VtaakOHqyqfux764vXtQsuqJNPrqpaXq6FhTcHflYJnlkyjjUMVVV/2Nsf2VH3bet7ftPWZV/HH1+XXNw/e3U78cSqf/2P4BDBM2PGsVZWammpqupPf+w//km7647x9y8MVbWwUCsrVdWPO64+dn6/6ZbhhBPe/FRr4hc8s2n9+dz+/f3hh9uWLbV3b1XVMKlxWlX9qKPGSy4evvLVdij76bSGITp7wTPD1u/bb7xR27bV3XfXnj19HNtksnZ0t7Q4Xnttu+aaOvmUtZP8cayFhQ1d98YRPDNv/YX68nLde0//0YNt9+5e1RYXazrWOO2LC/2664fLLqszz6yqWlmp1hJv4Ame+XHoSO+11+rBB/v27fX447V6pDed1nRaRx5Zl15aV1xR555bFTnhC5650nutrNTiYlXVyy/Xrif61q2168leNRwa8jdvro+eM954Yzv7I+3Qp6oiyhc8c2h99gcO1O7ddfvt9dRT1XsNw9pTeps21YfPGm+9dTjjjKpWlbHhC565tf4kfxxr58667fZ69hf1+uu9tbb6hz8M9YmPjzffMnzog/WeI6rm/YkdwTPn3jKuP/ZY3/r9/tOftdffqGHSWq3O+f2iC/vnvzCcc04dcUT1XtPpfJ7kC54Uva+N9FW1Y0d/6KF6aHsfe1tYaK3V8nJV1YUX1uWX10UX1WSyNvkP8/W6ieDJsnpuN5lU77Xrif7AD9v9949Vw+rV++qXapx3br/yyn7lp4da9779fAz5gifO+on94MH61S/7d+6q7dur99ZaVas+1mFL/bQP9BtuaJ/8VBtaVc3Jhi94Qq3Pfhzr+efrtttq58565ZVe1VYP84dWp5w0/do3Juef3zdtalW1sjLb1/aCJ9pbjvSefbbu/Pa468n2179VVTv0Ns5pp45fvnk477w65pjZnuwFD1X/fqT39FP9gfv7I4/W319qVW1psQ4uV9V4+untqs+0z11dhx22wat9xwQPbxrHmk7Xntj5+dP9kUfrnh+Mr7w6qVZLi3XwYB17bO3dW4cfvtELfacED281nVbva9fqv/ttv++++t53+6uvDVW1bVtdddUMf6+G4OE/W/+k7b59deed9cwztWNHbd4seJhH6y/say7uzAke/re5eZ1ulm8pwrtlDlJfNcvTCfA2CR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/BPE9foob2D+OQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "46e110d147a33bc048250905135bdc78f97c220c68df4d1c4fa111c8f6deead3"} +{"episode": 85897, "episode_seed": 1608918694, "split": "train", "timestamp": "2025-09-16T00:21:38.114764", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1608918694, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "action": "('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "action": "('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "action": "('move', [9.021399166348559, 14.798065626364027, -8.296461030677705])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALcklEQVR4nO3dX2jV9R/H8df5np1lpktRb5KgTLyoDLxZGaVOMTKtzKCL0jLXbImVDEQSzDIMzaiLVQ76QyQGEciKWEbOiFLJIkPpr7oRYiGaplu2ec73+/1dfE9/rLRt7tfO+b6ejwsv5s0Xdp57f76f75+TieNYADwEA30AAP47BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4NF7cTzQR4A+Inj0RpJ6JjPQx4E+Inj0WBwrk1E+r127BvpQ0EcEj56JYxUKCkMtX66JE9XYWPwhygrBowfiWGGoXE7r16uxUd3d+uCDgT4m9EUm5o80zi6OFccKAr31lubP188/q6ZGzc2qqhroI0OvETz+TXLq/sknuvlmHT6sq65Sc7MuvbT4c5QVgsdZJVW3t2vaNLW3a/Robdqk6mqFobLZgT449Brn8DizpPYTJ3TLLWpv15AhampSdbUKBWovUwSPM0tWf4cPa9gwZbNqbNSsWQpDVVQM9JGhj1jS4wyS8Z78e+iQWlt1552KIgUMiTJG8DizJO/fI+e8vfzx1xp/E0WStH69pkxRW5syGYUh5+3pwITH6ZIx3tKi229XV5dqa7V+ffGknYtw5Y8Jjz9Jav/0U82fr64ujRunhx9WRYWiiNrTgQmP3yS1f/ONZs5UW5tGjdI773DJPWWY8JAkRZGyWR08qNpatbXp/PP16qvUnj4Ej9+uwB07poce0vbtkvTcc7rpJjbq0ofg8VvwX3yht9+WpNWrtWCB4pgbbNKHc3h7Yag4VjarTEavvaY9e7RmjbJZno1JJYL39vtNNck+PIWnHUt6Y2GoINCmTWpsVBAok1EUKQwH+rDwf8RJmqtCQRUV2rFDixbp0CF1duqRR5TJcKt8uvHbtZQ88bZ3r+rrdeiQhg/X9dcP9DHhv0DwfpItuqNH9cAD2r1bQ4dqwwZdd53EzbPpR/CWTp3SokVqbdWgQVq3TjNnFl9ch7QjeDPJxbZly/TGG8pk1NCgujoVChLj3QKX5ZwkG3WvvKLaWkm6+241NSmXUxCwV2eC4G1EUfFt0z/9pLo6nTihlhaddx432FgheA9/eWtNFKmzU1VV1O6G4A0kVX/3nfJ5XXHFH/FTux/O3NIuqfrgQc2erVtv1YcfSireTkftfrjTLtWS2js6dM89+vprVVbqyBEFQXFbHn6Y8On1+4q9vl6traqo0Nq1mjOHF8s7I/j0iiLl83rwQb3+uiQtWaIlSyTxTgtnBJ9Syc5cZ6c6OiRp7lytWydx3u6OXfr0Sprv7lZTk+bN0/DhEsG7I/hU48IbTseSPtWSL4crFHgwBgkmPGCECQ8YIfjU4gl3/B3Bp1byElqax58RfGq1t+uzz9ikx2kIPoWiSKdOqa5OU6bo+efV2cnyHkUEnzbJSy6amtTaqpMntXixnnmGOY8iLsulSvLL3LtX1dXq6FAQaORItbRowoQ/noKHMz4C6ZGs2+NYDQ06flyZjAoFNTRowoTid8wAfArSo1BQEOjll7V5s3I5haEmT1Z9ffFr4wCxpE+N5F11336rWbO0b5+CQBdeqOZmTZpU/C9ATPh0SJ6RCUOtWaN9+1RZqSjSwoWaNEmFArXjD0z4NEiCb27WbbcpCBRFGj9eO3Zo8GAW8zgNwZe95Bd49KgmTiwu5iW9/75qang6Fn/Fkj4NMhk9/rj27lVFhcJQixerpoa9OvwDJnx5S66ub9miGTMkqVDQlVdq82ZddJHE623wN0z4MhZFknTypBoaii+ezuW0cqVGj2a8458RfBlLxvuqVdqzR9msCgXddZfmzOGmOpwRS/pylXwT7LZtmj1bx44pDHXxxdq6VWPGKI65FId/xiAoS8kTMkePauVKHTkiSUGgFSs0diy142wIvlwFgTZs0NatqqxUGOrGG7VgATfV4V+wpC8/ydX1r77SxInq6FAmowsu0OefF8c7e3U4CyZ8+YljRZGWLtWJE6qoUBTpySepHT1C8GUm2YF/6SW1tCibVT6vqVN177280AY9wpK+nCRX1/fv1+TJ+vFHBYFGjNBbb+maa7gUhx7hM1I2kpdbZDJasUI//FC8i/b++1VdrXyexTx6hAlfNvJ55XLauFHz5hUfiauu1pYtGjKE8Y6e4mNSHqJIuZwOHNDatcWfDBqkVas0ZEjxRTdAT/BJKRuFgp56qngXbRjqvvt0ww2KIlVUDPSRoXywpC8Dyan7li2aNUthqDDU2LHauVNVVcx29A6flzKQyaizU0uWqLu7uHX37LMaNoyNOvQawZe65BnYJ57Ql18W30VbV6eZM4s/B3qFJX1JS+6N37ZN06eru1tRpDFj9N57uuyy4vMzQK+w4VO6okhRpI4OLV2qX39VLqfKSj36qMaO5SEZ9BEzonTFsXI5vfCCdu4s3kU7Y4buuIPrcOg7lvQlKnm/xa5dmjZNx49L0ogR+vhjjRvHeEffMSlKUXJ+/ssveuwxHTtWvK9u+XJqx7liwpei5ML7iy9q4ULlcsrnVVOjrVt5ABbniuBLURTp++919dU6ckQVFRo8WB99pPHjCR7niiV9yUnW80uX6vBhBYHyeS1bVqwdOEdM+NKS7NVt3Ki5c4uL+Wuv1bvvauhQLryjHxB8CUmecj1wQFOnav9+Saqq0ptvavp09urQPxgZJSSK1NWlVavU1qZcTnGs2lpNn658ntrRP5jwpSKZ4du3a9o0dXUpm9Xll6u1VSNHSnxLHPoJE75UBIHiWOPH6+mndcklCkOtXq1Ro/iWOPQnJnwp2r1b27ervp7rcOhnBF9a4liFgnI5SbypDv2P4EtRGCqToXb0P4IHjDBEACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwPWfphrmzjeSMAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d7a2db796229cf2e3cc5fbf9d5351138534ebff6cbd9d4f703a61b2b97e6e0dc"} +{"episode": 85898, "episode_seed": 1725588207, "split": "train", "timestamp": "2025-09-16T00:21:38.727039", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1725588207, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "action": "('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "action": "('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJaklEQVR4nO3dPYxldR3G8efMy+7sG6LGJWokihJ8awyNLTGxIFFQo51UmxCCAgmtCQkJHTGx01gYTSy0kgoIqBTQWAABjS/EaEIiBSrLvoHOzL0W53J3dnYCGsCZPc/nU93ZO8XJJN/9/c//nnPuMJ/PA3RY2e8DAP5/BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F1vb7AOCdN59nPk+SYcgw7PfRHCTDfPzDAAVMeKbmtddyxx156aUcPZpbb803v5kVZ65vEDzTMZ9nGLK5mV/9Ki++mCTXXpvbbtvvwzpI/NfH1Mxmef31rKxkGPLe9zqHv4TgmZrZLGfPZmUl83lOnEgS+1RLgmdqtrfz+uuLwT4Gz5LgmZpz55JcErwJvyR4pubs2YuvBb+L4JmaV1+9+Pro0f07jgNJ8EzNmTNJMpslyaFD+3ssB47gmZpxST+bZRgEv5vgmZpl8EeOZH09iY/iLxI8U7M8hz9+3ITfTfBMzXgOn+TYMcHvJnimZhn80aOC303wTI0J/yYEz9RcHrxNuyXBMzXLK+1M+MsJnqnZOeHHj+VYEjxT4xz+TQieqTl9evHi6FEPt9rN34PpGIbM5/nXvxY/Hj+eJNvbNu0uEjyTcv784ir6JMeOJe6NvZTgmYgx7DNnLgY/3hsr+J0Ez6ScPZvZbBG5m+EvJ3gmYox8Z/AbG/t7RAeR4JmUMfjRkSOJy+wuJXgmZTyHT7K2ZsLvQfBMynLCb2w4h9+D4JmInbv0STY2TPg9CJ5J2TnhncNfTvBMxDjhz527uEU/Bs9OgmdSlvfGmvB7EjyTsnyCpQm/J8EzKZdPeHYSPBOxvNJutNylt6TfSfBMyvjVsUk2NnL4sDtndhM8EzFO8n//e/HjxkaG4eJltowEzxTM51ldTZLNzcW/jOv55a2yjATPRAxDzp3bHbwl/S6CZwqWV90sl/Tj863YRfBMx/nz2dpavBb8ngTPFCwn/HJJPz7Qzgn8LoJnOs6fXwQ/DIvg2UXwTMcy+PV1we9N8EzBuKS/cCGzWVZWcuhQTpxILOkvs7bfBwDvmFdeWdw8M5973M3eBM8UjJP85MncdFP++c8cPpz3vS+Jr5rabZi7NIGp2NzMhQvZ2sp8nquu8k2SexA8FLGkZ1KW88t23Z4Ez6To/M3Z04AigocigocigocigocigocigocigocigockyWzW8MhLV9pRbzbLbJa1ihZMeIrN54snZqyt5aWXFt9TNek5L3iKDUNWVvLss7n99nzhC3niiSTZ3t7no3o3VSxjYGGc5+OLra08/XQefDC//GVOn06SX/wiX/xiDh3KfD7Vu3AET4edJ+rb21ldzQMP5P77F+9ed11uvTV33bX4AsqJ1h7BM32zWba3s76elZX84x95z3sWPX/60zl2LJ/8ZL761Zw6lZMnF78/3drjiTdM2bgnN37L5Asv5Gc/y69/nR/8IJ/4RObznDmTp57KjTfmmmuSN8b+1Ameqfvtb/P97+exx/KnPyXJXXfle9+75Bc2N7O2Nu3BvmRJz4QsT7/H74V/5pnFntzLLyfJsWP5xjdy6tTFX97ezspK1tf36XD3gQnPJIzXya2uLpp/7bV8+9v5yU8W30TzkY/klltyzz35+Mf3+0D3mQnPFW78gG18JPU42JMcPpwjR7K5mc99Ll/6Um6/PR/60OKtSW/CvyUTnivWzj25v/wlP/1pTp/Offfl+PEMQ37/+zzySG67Le9/f7LjE/hugucK98c/5oc/zCOP5He/S5KHHsqXv3zJGG/ak3tLlvRcsZ5/Pg8+mMcfz9/+liRHjuSWW/KpTy3eHT9+X12t2pN7SyY8V4JxT25ckw9DXn45p07l8cdz4UKSnDyZr3wld9+dG26wbn9zJjwH2849ufHHYcgw5LnncuFCPvvZ3Hxz7rwz1167r0d5xTDhOajGz8nHq99ffDE//nFuuCFf//ri3Yceym9+k3vuyQc+sPhlZ+n/BcFzIC0D/vOf86Mf5eGH8/TT+fCH8+ST+ehHL7kM1p7c/8KSngNpGPKHP+S7381jj+Wvf02S9fV8/vOLHbhhWNz9Vnad3NtnwnPwvPBCvvOdPPpoXn01Sa6+Ol/7Wr71rXzmM/J+m0x4DpJxJf/3v+fnP0+S66/PzTfn7rvzsY/t95FNhAnPwbO1lXvvzYkTufPOfPCDyRvPmXOi/rYJnoNn52WwW1tZXZX6O0XwHEjL6+RcSPOOEjwHks/V3x3+++RAUvu7Q/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5D8ibRKRlSHIZAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "action": "('move', [-0.8570667010352104, -21.27185078811345, 58.904837783700486])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIF0lEQVR4nO3b76vedR3H8ff3uo6iNxQpkclQVJDtRrMf01XrBxbjbMoa5CyNorqzoFqaa2F/QwT+QI1aP2DhtubmLJsMQyiqBZpBRCPdjYGikM3GJo7hOef76cZ15jkNaqSb5+y8Ho+75zrwPXA9z+dzvT+fq2utFZBhMNcPALxzBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9VVa3V5GT1/Vw/x1nWtdbm+hlgLrVWU1M1GNQgYPkL+BPhv5uaqr6vsbEaDGrfvnruubl+oLNM8IQabW2HwxoOa8+j7Ytf6Netq82bF/iu3paeLH0/s3VvrR5+uP34R+2ZZ7rXj9dg0A26+sP+WrGiWquum9MHPTvG5voB4J3QWvV9DYfTtR89Wj/f0e6/vz1/cDAxUaO4+766Ye3bVytWzPHTnj2CZ4EbzeS6robDqqpDh+qRR+qBB+rFF7uqbjisqq5ae/e7uhtu6O/a1K1a1VUtzOW9bOlZ2Kamqmo69T/ub798vLZs6V59tarqvPNqYqKq2hVXdJ/8RNuwoT7y0QVa+SyCZ2Hq++q66YX6ib1t96Nt9646eqyr6s4/v954o6ra1Vd3t9/Wr1/fLb++q5o+nFuoa/uI4FlQThm27dzZ//QntX9/d+y1qurGxmpysqpqyZLauLFWraqlS6uqJiZqMJjeCCxsgmcheHMmN3L8eO3Y3h58qB04MDhxoqqquqpWVbX8/f2mzYNVq+qyy6qqJidnPt4nEDzntlPuyb30Uu3aVffdV4cOVVUNBqNz9XbxxbX8A+1bm7s1a0aDumqtWou4XTeb4DmHzV6f//xs+9XeevCh7pV/VFWd3L33ixYNPv6x/qtf6268cWavv1CP2U9L8JyTRvfhRuvzU0+1PXtq+7b615GaPZO78sq65dPtM5/tVq48eczehXb+JsFzLjllZX5sT9u6tX7z2+7IkTZ7JnfttfWVDbV6TS1bVpU0kzstwXMOOOXz9uRkbdvW/+D79Ze/dq+/XlXdyc/qtew9/V2bBuPjtXjx9CujZnKn5aYd89po/N5107UfPly7dtU997SDBwezVvt2wQX1vuv6b989XL16cOGFVVV9X63VmDf4f7LCM3/NXp8P/K3tfaLuvbd7+eWqmZlcu/TSbuWH+69vHIyPz/xi7EzutATPfDRan0ep//537bFf1M+21iv/rNkzucWXt0+ta7fdPhiN30dvZJ3/b4Jnfpnd7d7H+23buyd/XYcPV1V38vZ7XXNNfflL7eaba3QldnKiBsO4E/W3RvDMRzu291t+WH96tjv2WldVw+HoazBt6ZK685vdmjV11VVVZnL/PzMN5ovW6sSJ2rmzvvfdqb8/PxwdsI1+MhzWe6/r7/7O8Kab6qKLqszk3iorPPPC1FQNh/X00zU+XkePznx39ZJLasX1/TfuHK5dO/3KzCuxZ4rgmS9Gzd96a+3eXVV1+aK2erx97vPd+PjJwzdjubfNloj5ouuqtbrjjjpwoNaubetvaR/80KBmzeSk/vZZ4Zlf+r5eeMFM7mwRPPPR7HN4ziBbeuad2XdpObOs8BDEf1EIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m92X8ZDFO6KPgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a00df4dbbe3be9bde6ae3c3a0ae2fcec34a86c37eeb426372913a0e48f8e5369"} +{"episode": 85899, "episode_seed": 4141483048, "split": "train", "timestamp": "2025-09-16T00:21:39.335807", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 900, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4141483048, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "action": "('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "action": "('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "action": "('move', [1.5242790802282729, -4.8746563168093076, -6.244764884403129])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "371b794fd9977a7b2265c0c014578612122791d8bba59b591670a7f82b3b8dd4"}