diff --git "a/train/batch_000144.jsonl" "b/train/batch_000144.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000144.jsonl" @@ -0,0 +1,100 @@ +{"episode": 14400, "episode_seed": 2330873005, "split": "train", "timestamp": "2025-09-15T22:55:11.076200", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2330873005, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "action": "('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "action": "('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "action": "('move', [1.1455085799478597, -0.12171181299477539, -30.75627505133026])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGmUlEQVR4nO3aXW4bVRzG4f/M5KNpkBOHSFxxwQpYBayEiy6gG+CaNbEAloGEuEIiiT8Sux4PFx5akxbRAkkK7/NoNDlyHGcc+Xd8ZpxmGIYCMrRPfQDA4xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDl46gPgKQ1DDUM1TVWNe/7fmmEYnvoYeHp9X9ttbbfVNNVUVfOHWeDtPf9Rgo+2XtfdXT1/Xgfvt9Tbbqvvq2qcFOpP5gKTwkfLkj5U31fX1Q8/1Lff1uFhnZ7WyUmdPh8mn/STSZ2dt5Pz9uysJpNx241PTqp9v8s+H/Q+YoJ4NIIPtd1W19WPP9b339/7zi7o5uiojo/r6Oj+dnw8TE77i/PhfNpOL9vzaXN+XtNp7e+n0/edF3hkgo82n9+7oRlX6lXrda3X7/yhpqp7PW6a6rpq22rbcdB11XV1ctxPJ9uLT2v6aXdx2e5mgYuLej24uKjJpA66oeuq7appmuPj9z2z4G/zBw61W0V/8UV99XVtXm3n83a9rtVq7Hx/22yGqmF/Ltgb1DDUZvPm5rYZr/xXdT/93NVfGE6P++n5cPlZ2x1233xTL17Uq1d1ePjvPlfecNGO0TDUzU3d3NT19R8G17/2s6vh6qaZLbvb21oua7msxWIcLJd1e1uL+bBab6tq783/3dquunacboahtkNt+2rb6vt6+bK++67W6zo6evAnG8s7fLQ3V92b6ro6O6uzs/r883v3ut/w3V3N57VYjNtyWfNZLWa1WNT8dlgsmpubms1qf399XbPZMLvazpbDtm/uPebuGCaTh3uijAQfbXfuvbNbiu8WfPuD2rvkvrv/s2f17FldXu4/0v2Gq2qzqdVq3O7uarVqVrfN3V2zWjfL27q6Grfr67q6ql9+qS+/HH8FD8eSng/z9kQwvoKG2n1tmmrbapoP+LCt72uzqYOD6v7yrJ9/RvA8iP2X1Zvx75NC1Tgj+AT+kQmej8Lrf+nnQTlh4qOg9scheAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyG4ZJJLl9jdAwAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cdc2115f2598022619f5eadd43ef541270025e5db33b221d70687b314316c01c"} +{"episode": 14401, "episode_seed": 218785148, "split": "train", "timestamp": "2025-09-15T22:55:12.062074", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 218785148, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "action": "('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "action": "('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "action": "('move', [-4.2262360533220535, 5.385817275182144, -3.7831498049399386])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bd067474dd606e3abb931fef23bc533133746a8440464a302c1f9b18ed0d895e"} +{"episode": 14402, "episode_seed": 2901174123, "split": "train", "timestamp": "2025-09-15T22:55:12.687854", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2901174123, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "action": "('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "action": "('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "action": "('move', [-6.735330208678484, -5.504815484887139, -14.270043620113634])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "36b7ecb0630fe4700476ef843a405541e22bf5ed0085e9e969a83350d88576e8"} +{"episode": 14403, "episode_seed": 861938289, "split": "train", "timestamp": "2025-09-15T22:55:13.321784", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 861938289, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "action": "('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJCUlEQVR4nO3bS4hkZwGG4a+qq3qalsRZmIhmJ4MguAi5uHDlCGIWiYq4iyFZhEGQCBIyIaJJDESjSCJKkHEhIu7E20YjbiaELKMSXA5kERzBEGZkLj3T3VXlooruyU3MXLorfs9D0TR1Dn1q6HnP/59z/h7MZrMAHYb7/QGAvSN4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KDLa7w/AZZnNMpu9zfuDQQaD3X3e1s4O9BnM3um/BftoOs3WVobDDIcZDDK8qhOx2Wy3+ckk0+kbTgE736+sXM2DshwEv2TmNb74Yp5+OuNx3ve+rK/nwIEcPJijR7O6miT/+Edeemmx9cCBjEZZWVl8/dCHcvDg4uecOpXZLKPR7g4jE7p2gl8yk0lWVnLsWL7ylTdvungxo1GGw/ziF7n33jdvXV/P2lqefjr33pvZLBsbuf/+/Otfi5PC2lrW1rK+nvE4t96aL31pEf9f/pK//jUHD2ZlJaurGY8XX9fX87GP5cCBvfgns4ec8pfMfPZ+6615+OFsbOTChVy8mPPnMxpldTXTaZIcPJiPfzxnzmRzMxsbOX8+m5s5fz7nz+fcuSQZDLK5mV/9Ktvbb3OIO+7IF76QlZUMBvnpT3Ps2OL9efNraxmN8oEP5M9/zk03vWH+z3uf4JfMvK7bbstttyXJbJbt7WxtLVKfbz18OL/7Xba2sr29eE0m2drKZJKPfnTxc9bX85Of5NSpbGwsXvPzwuuv5zOf2Z3bf/jDef/7Mx7n9Olsby/2TPL66+b//5dM6ZfS/Cb8pbfcr9B0unhtby8mC3PnzuXMmQyHi7t385nCuXPZ2sonPpHx+OocnaUh+GX11t/Lpc/bLt166ffzu/rwDgTfZP67ftMZweP6JoKHIpbWQhHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBw/6bzTKb7cWBRntxEOCdzWYZDPboWEZ42E+TSQaDTCb597+TXPNxXvCwb2azrKzk1Kl87nN57rkkmUyu7REFD/tgPpIPBvnjH/PpT+cPf8jp07vvXzuu4WFPTadJMhzm7Nk89liefTYXL2Z1NaM9aVHwsHe2txdhP/98HnwwL72U4TBra7lwQfDw/2Ve++nT+eEP893vZnMzq6vZ3MyFC7nvvnzqU4tL+mtqMNubx39QbOeK/YUX8uijOX48g0GGw0wm+chH8sQTufvuxW7X+vmc4OEa2kl9Os13vpMf/SivvbYY2JN8+ct57LEcOrR7YX+tmdLDtTKZLKbof/97Hnggx48nyXiczc3ceGOeeip3353V1UwmGQ73aO2NER6uvtksk0lGo5w7l5//PI88kjNnMhpleztJ7rwzzzyTQ4eSZDrdi4F9h+DhKtuZn7/8cr797fzmN0kyHmdrKzfdlAcfzNe/nuztitodgoeraWcaf+xYnnwyr766SD3JnXfm0Udz++2ZTjMY7EPtETxcLTsj9iuv5KGH8utfJ1ncn1tfzxNP5MiRXHddtrYyHu/bhxQ8XKn5H7fOL8V/+cs8/HBOnszKymJh/Cc/mR//OLfcklyy8Ga/WEsPV2QyWdT+z3/mvvtyzz05eTLjcSaTXH99vvWtHD+eW25ZnBT2t/YY4eFK7IzYv/1tjh7NiRMZjTKdZjrN7bfne9/L4cPJPt2fe1tGeLhM8wdvJ0/mq1/NF7+YEyeyuro4BRw9mj/9KYcPL2b1S1J7jPBwJX7/+zz+eP72t8XKmckkN9+cp57KZz+bLMEV+1sJHt6d+VKZM2fyzW/mZz/L2bO7S2W/9rV84xv54Af3bqnsu7Vk5x94L5jNsrGR55/P2bM5cCAXL+bQofzgB/n855Ps6VLZd8sID+/afHXNc8/lrrsyneaee/L97+fGG3f/VGZpCR4ux3xi/+STueGGHDmy+86SEzxcpp3Cl3kO/yaCh8s3f+S+bLfi/wvBw+VbnhU1/6Olv+aAJfbeqj2ChyqChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyL/AUlvEtNdY4LzAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "action": "('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "action": "('move', [-55.22600184117284, 67.7181710152524, -12.254108802313596])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJJklEQVR4nO3ay29cZwHG4Xcujl0XqFuKELmoSK1CmqQVUiP2LJBYsmDfBSz4C+CvoFsoCxZs2bBnzYIFlKKEtlHbtGnT9KLQKiZOY3tmWMzIjo2jAnUbt+/z6Gg0njlzZnz5nfOd73gwm80CdBje7w8AfH4ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0XG9/sD8H+ZzTKbHfD4YJDBYHedA+2sQJ/B7F5/FtxH02m2tjIcZjjMYJDhoQ7EZrPd5ieTTKd7dgE790ejw3xTjgbBHzHzGv/0pzz3XJaW8uCDWV3N8nLW1vLzn+fYsSS5di1/+cvi2eXljMcZjRa33/pW1tYW2/nww8xmGY93Vxgb0LUT/BEzmWQ0yvPP52c/2//UnTsZjzMc5ne/y7PP7n92dTUrK3nuuTz7bGaz3L6dn/4077+/2CmsrGRlJaurWVrKM8/kxz9exP/Xv+aFF7K2ltEox45laWlxu7qaJ5/M8vLn8S3zObLLP2Lmo/dnnskvfpHbt/Pxx7lzJxsbGY9z7Fim0yRZW8v581lfz+Zmbt/OxkY2N7OxkY2N3LqVJINBNjfz+99ne/uAt/jhD/OjH2U0ymCQ3/wmzz+/eHze/MpKxuM8+mj++MecOLFn/M8Xn+CPmHldFy7kwoUkmc2yvZ2trUXq82e///384Q/Z2sr29mKZTLK1lckkp08vtrO6ml/9Kh9+mNu3F8t8v3DjRn7wg92x/fHjeeihLC3lo4+yvb1YM8mNG8b/X0qG9EfSfBL+7in3T2k6XSzb24vBwtytW1lfz3C4mL2bjxRu3crWVr73vSwtHc67c2QI/qj6z9/L3dfb7n727vvzWX24B8E3mf+u9+0RXK5vIngo4l9roYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj4fn8AuKfZbPf+YHD/PseXiOA5KuZ5z2aLO8OhyA+f4Llv5m3PZplOk2Q02h/51lZu3cq//pUHH8zDD9+vj/mlMpjdPWyCz9Ldhc9mGY0yGu1Z4ebNfPBB3n8/772XV1/NSy/l5Zdz6VJ+8pP88peZTPavz//KEZ7P1k7k88KHwyS73V6/nqtX88YbuXo1b76ZK1dy5Upefz137uxuYTDI5cuLTfEpCZ7Dca8JtsFgz5eXL+fy5bzySl55Jdeu5d138957uX59MarfsbSU2Szb24stv/hitrczGmU2c2L/qQie/8fO1NpstjjxPrDD9fX84x+5eDGXLuXixbz1VtbXc/Nm1tc/YftbWxmN8sQTefrpnD2bCxfM4R0OwfPJ7h6W74zM785vOs3GRj7+OB99lJdfzt//nosX8+KLuXo1m5vZ3t5/AN9nZSUPPJAHHshjj+W73825c3n66Zw5k69+NeNxxv5ID4+fJfc0nWYyOXh2bWMj//xnbtzIBx/ktddy8WJeeimXLuXdd/esNt8v7Kt9NMojj+TrX88jj+TUqZw7lyefzNmzOXNmcYb/n4zkD4tZev4rN27k7bfz9tt566288UZefTWvvZbXX8/Nm7vrDAZZWkqSzc09r11ezqlTOXUqJ0/m1Kk8/vhiOXly/7tMp7thK/yzIHj2mx9OJ5O88EL+/OdcuZI338w77+T69bzzzp7582RR+Pb2nkm7r30tp0/niSdy+nS+/e2cPJnjx3P8+P5r6ZPJovD5cq/DO4fIkJ6DzWb57W/z61/vvxg2GOx5ZGsrSU6cyPnzOXcuZ8/m9Ok8+mgefjhra1lZ2fPaySSTyaLt+a3r6p8zwbPf/Kx7PM43v7mYhN85CR+Ps7ycY8fy2GN56qk89VTOn8/Zs4u2l5f3b2o6Xbx25xiu8PtL8BxgMslwmO98Jw89lG98I1/5Sk6cWBzA57erqwe/cOdy3fwMfDg0UD9anMNzgPlp/LVr+dvfcuZMHn/8gBX2Mcf2hSB4Ptn8+tzOsFzbX1yC555ms8XY/l7/SMcXjuChiBkVKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJvBaYRFQiADxUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ace8ee848525e485fe92f27b380ab3a4c2b0e8f97dc2037b3014a7a0fbefbe53"} +{"episode": 14404, "episode_seed": 2227417886, "split": "train", "timestamp": "2025-09-15T22:55:13.952135", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2227417886, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "action": "('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxklEQVR4nO3dP4ik9R3H8c/M7Omee3fqHUQs0igI2iiIrUZDJEHhgtiYInBKQLGw8YqgaKFYJKS6wj8hzSGXCEGwEMXCYGMjiFioSBBEUQyo547e3nG786R4HmcvBm/3/jnzzPf1qmanelh47/f3+80zzw6apglQw3DWFwD8dAQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMjSrC8A+qRpMpl0r4fDDAYzvZozN2iaZtbXAPxETHjYlqbJYJCPP87zz+fSS7N7d26/PVdemckkw/7sjAUPZ+C99/Loo91i/uWX+xd8f64U5sDXXyfJZJLBIBdfnKRn23jBw7a0h11t8En27MnOnTO8nLMkeDgD0+B37coll8z0Us6K4OEMnBr88nJiSQ8L7KuvuhcrKyY8LK52Dz8Nfvdue3hYdNMl/XTCW9LDwjp1wrcfy/WL4GFb2kl+/Hj348pKBoPN++r7QvCwtabJcJi1tayvd+/s3p0kGxuW9LCgjh7NyZPd65WV5PuTvB4RPGytDfvU4NsJ3zuCh+06evSHS/p+recjeNiOdsJ/800X/GgkeFh00wm/c6clPSyu6R6+DX55Obt2zfaKzpLgYbumS/rl5ezZk1jSw0KaTvj2xfKyJT0srmnwrWnwJjwsrGnwO3d2e3jBw8Iaj7sX7YTv3W12ETxsqWkyGiXJ2lr3zvJyBoNsbMzwos6S4GFro1HW13PiRPdj++iL9tm1/SJ42EK7dB+PN78b234m10eCh2359tvN4C+7LOnhiV0ED1tqJ/zq6uYe/tJLZ3g550TwsC3TCT8Y5PLLuxe9I3jYwnQP3074pSUTHhbdeNyd0u/YYQ8Pi+sHp/RLS13wfSR42JbxuHtGrQkPi6yd8N9+2/04GtnDw6JbXe1emPCwyIbDJPnuu+7HafB9JHg4nfZfUOSUJf1wmB07enkjfQQPWxoOM5lsBt8++qKP342N4GE7jh/fDH7fvpleyrkRPJxOO8mPHdt8+kV7X21PCR62tra2eWi3d2/SzyP6CB5Or53wa2ubS3oTHhac4KGQY8cWJPilWV8A9MDaWo4d6/btvd7DCx5Op93Df/ddTp7MaJTh0ISHRTcYZHk5TZMTJ3r8zZkkg6andwzBT6JpMhhkdTX//neaJseP54YbsrIy68s6W4KHQizpYWtN0z39Islw2NcTu5jwUIrP4aEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UInoU2mcRjWk/hMdUsrqbJ0Ej7H34dLKjJJINB3nsvR4/O+lLmiOBZRBsbGQ7z0Ue5557cdls++SSJtX0s6VlAGxsZjfLFF7n33rz7bkajvPVWfv7z7t/E1WbCs1gmk4xGGY9z4EDeeCM7duTQodx1VxL7+QiehdLO8BMncu+9eeWVJHn88TzwgLP6KcGzQAaDDAZ58MH8859J8vDD+eMfs77evY/gWRwbG0ny0EP529+S5A9/yFNPpWkyGql9yqEdC6GtPcl112XXrvzmN3n22QwG3YdzfM+/i6b/2q37ZNIdy/3rX7nxxuzZ41j+/wmePmua7na699/Ptdd274j8x9nD03PDYV58Mb/9bf7855w8mcEgGxvO5H+M4OmtjY0MBnn99TzwQD78MEeOZDxO4kz+NARPP62vd7fQHTiQ//wnV1+dZ57JZZd1N9XyI+zh6aH25tkPPshdd+X99/Ozn+XIkfzyl5vndvwIwdM37bHc55/nzjvz9tvZsyeHD2f/fsd12+HPIb3SVv3pp7njjrz9di66KIcOZf/+bj/PVgRPf7QfwiXZtSt79ybJX/6S3/8+J09mNJrtpfWFJT09MV2xtxv4zz7Lu+/m17/u/gQY79sjePqgPY07diwnTuTyy2d9NT1mSc/ca5pMJllfz8GDufvuvPNO96ZZdeZ8eYb51ta+tJQnn8xzz2V9PS+9lBtusIY/OyY8c280ytNP54knsr6e/fvz4IOzvqAes4dnjrVb9yNHct99OX48t96av/89V1zhI/ezJnjmVVv7yy/nd7/L6mpuuin/+Eeuuirr61myFT1LlvTMpfaW+Ndey4EDWV3NNdfkr3/NVVdlY0Pt50LwzLEvv8x4nH37cvhwrr++eyIt58CSnjkz3Z+3L158MXv35he/8MWY80LwzJPpc6YvvjjJZuTt3XWcM38ymRvtAye//jq/+lWeeCLjcfchvJX8+WPCMx/aYX70aO65J6++mosuymuv5ZZbnMmfXyY8c6CtfTzO/ffn1VeT5LHHcsstaRq1n1+CZ9baffs33+TgwbzwQpIcPJhHHnF3zYVgSc+steP9nXdy883dkD90qNu0C/58EzxzoH2w9Asv5M0386c/ZWXFh3AXiOCZPxbzF4w/osyN6Vfc1X7BOAJlbuj8wjPhoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZD/ArFAYTFcCvVNAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "action": "('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxklEQVR4nO3dP4ik9R3H8c/M7Omee3fqHUQs0igI2iiIrUZDJEHhgtiYInBKQLGw8YqgaKFYJKS6wj8hzSGXCEGwEMXCYGMjiFioSBBEUQyo547e3nG786R4HmcvBm/3/jnzzPf1qmanelh47/f3+80zzw6apglQw3DWFwD8dAQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMjSrC8A+qRpMpl0r4fDDAYzvZozN2iaZtbXAPxETHjYlqbJYJCPP87zz+fSS7N7d26/PVdemckkw/7sjAUPZ+C99/Loo91i/uWX+xd8f64U5sDXXyfJZJLBIBdfnKRn23jBw7a0h11t8En27MnOnTO8nLMkeDgD0+B37coll8z0Us6K4OEMnBr88nJiSQ8L7KuvuhcrKyY8LK52Dz8Nfvdue3hYdNMl/XTCW9LDwjp1wrcfy/WL4GFb2kl+/Hj348pKBoPN++r7QvCwtabJcJi1tayvd+/s3p0kGxuW9LCgjh7NyZPd65WV5PuTvB4RPGytDfvU4NsJ3zuCh+06evSHS/p+recjeNiOdsJ/800X/GgkeFh00wm/c6clPSyu6R6+DX55Obt2zfaKzpLgYbumS/rl5ezZk1jSw0KaTvj2xfKyJT0srmnwrWnwJjwsrGnwO3d2e3jBw8Iaj7sX7YTv3W12ETxsqWkyGiXJ2lr3zvJyBoNsbMzwos6S4GFro1HW13PiRPdj++iL9tm1/SJ42EK7dB+PN78b234m10eCh2359tvN4C+7LOnhiV0ED1tqJ/zq6uYe/tJLZ3g550TwsC3TCT8Y5PLLuxe9I3jYwnQP3074pSUTHhbdeNyd0u/YYQ8Pi+sHp/RLS13wfSR42JbxuHtGrQkPi6yd8N9+2/04GtnDw6JbXe1emPCwyIbDJPnuu+7HafB9JHg4nfZfUOSUJf1wmB07enkjfQQPWxoOM5lsBt8++qKP342N4GE7jh/fDH7fvpleyrkRPJxOO8mPHdt8+kV7X21PCR62tra2eWi3d2/SzyP6CB5Or53wa2ubS3oTHhac4KGQY8cWJPilWV8A9MDaWo4d6/btvd7DCx5Op93Df/ddTp7MaJTh0ISHRTcYZHk5TZMTJ3r8zZkkg6andwzBT6JpMhhkdTX//neaJseP54YbsrIy68s6W4KHQizpYWtN0z39Islw2NcTu5jwUIrP4aEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UInoU2mcRjWk/hMdUsrqbJ0Ej7H34dLKjJJINB3nsvR4/O+lLmiOBZRBsbGQ7z0Ue5557cdls++SSJtX0s6VlAGxsZjfLFF7n33rz7bkajvPVWfv7z7t/E1WbCs1gmk4xGGY9z4EDeeCM7duTQodx1VxL7+QiehdLO8BMncu+9eeWVJHn88TzwgLP6KcGzQAaDDAZ58MH8859J8vDD+eMfs77evY/gWRwbG0ny0EP529+S5A9/yFNPpWkyGql9yqEdC6GtPcl112XXrvzmN3n22QwG3YdzfM+/i6b/2q37ZNIdy/3rX7nxxuzZ41j+/wmePmua7na699/Ptdd274j8x9nD03PDYV58Mb/9bf7855w8mcEgGxvO5H+M4OmtjY0MBnn99TzwQD78MEeOZDxO4kz+NARPP62vd7fQHTiQ//wnV1+dZ57JZZd1N9XyI+zh6aH25tkPPshdd+X99/Ozn+XIkfzyl5vndvwIwdM37bHc55/nzjvz9tvZsyeHD2f/fsd12+HPIb3SVv3pp7njjrz9di66KIcOZf/+bj/PVgRPf7QfwiXZtSt79ybJX/6S3/8+J09mNJrtpfWFJT09MV2xtxv4zz7Lu+/m17/u/gQY79sjePqgPY07diwnTuTyy2d9NT1mSc/ca5pMJllfz8GDufvuvPNO96ZZdeZ8eYb51ta+tJQnn8xzz2V9PS+9lBtusIY/OyY8c280ytNP54knsr6e/fvz4IOzvqAes4dnjrVb9yNHct99OX48t96av/89V1zhI/ezJnjmVVv7yy/nd7/L6mpuuin/+Eeuuirr61myFT1LlvTMpfaW+Ndey4EDWV3NNdfkr3/NVVdlY0Pt50LwzLEvv8x4nH37cvhwrr++eyIt58CSnjkz3Z+3L158MXv35he/8MWY80LwzJPpc6YvvjjJZuTt3XWcM38ymRvtAye//jq/+lWeeCLjcfchvJX8+WPCMx/aYX70aO65J6++mosuymuv5ZZbnMmfXyY8c6CtfTzO/ffn1VeT5LHHcsstaRq1n1+CZ9baffs33+TgwbzwQpIcPJhHHnF3zYVgSc+steP9nXdy883dkD90qNu0C/58EzxzoH2w9Asv5M0386c/ZWXFh3AXiOCZPxbzF4w/osyN6Vfc1X7BOAJlbuj8wjPhoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoZD/ArFAYTFcCvVNAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "action": "('move', [-1.40463393603492, -2.2966112500336195, -19.307622954887023])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "edd57b4e116b0287c11887314a1c1a7b2dbf2db428432f7420398656f3a7e57d"} +{"episode": 14405, "episode_seed": 859411328, "split": "train", "timestamp": "2025-09-15T22:55:14.968419", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 859411328, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "action": "('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "action": "('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "action": "('move', [27.91272576006334, 34.49185484971091, 54.483496130172966])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGLklEQVR4nO3ZQYse9R3A8f/MRgRLpT00EBEkZVdSI4hUCoZKDi0YJU2kvhPfgm8n9pgcWqSBRoL1UKSUegweTKhUvNl1n5kennUT0yA9uVm/n8/tmRmGOcx3fjP/Z1rXdQAN83FfAPD9ETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGCh5BTx30BnDzrOpZlbDbfdcw0jXkeOzvf1zXx/5nWdT3ua+DE2KYu45NL8HyX7d0xTd/a+MUX48b19U9/XD7/987RrnUd6zo2m/H1wTj4ej23t7z5u52LF8fTT491ffgMHBev9DzCsox1HfM8Huz53t1x48b4w3ubv308f/6v6av/PGIB6Mc/Wq5cna5cnc6/MP/s9HjqqTH+53nBMTLhuW/7Zf7gt/eXX467d8f774/3ri23/jK+2n9E5KdPj2efHa+/vr799vTyy2O2EPwYEzxjWQ5H+hNPHG757LPxySfjww/H9evj5s1l+2/OduB/s1a3PPfc/Pzz48KFcfnyeOWVb53w6J4y2x83gq/bbO7P8zt3xu0Plr9+NN36YLp9+3DjqVNjnsf+/vbXsrc7vXph+tUvl19fnF966fCYZRljjGlS+ONO8Iw7d8aN6+vNP6//+Of894/XbbzzPOZ5HBxsD1lfOLdeenO+8Op6/vw494vDrDebw0V7r/EnheCjjv5ge+edce3auHdv3d8fYzw8oF98cbz11rh0af352XHmmcO9R5/6D67qcSJYpY+apsPgp2l8+un4JvV1nqaf/HTsnt1c/f3O1atjd3c8+eTR3nFwMOZpTPP9r31OFhO+a1nGPI9bt8Zrr411HXt7Y293+e1vxuUr897ew0duJ7l5ftIJvm5/f7z77jhzZrzxxjh79nCjwn+oBM992yW67Xs+P0iCZxwcjHW12J4geAjxSIcQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAh5L9REOY1Il8yrAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9fb6509ab3b12b4724fa6a74d1d399a046bf972918a369a38d5b8d1425afbe5f"} +{"episode": 14406, "episode_seed": 3691205850, "split": "train", "timestamp": "2025-09-15T22:55:15.596215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3691205850, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "action": "('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "action": "('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "action": "('move', [16.13460698333756, 30.71831859398739, 31.09637065415211])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "752e2b5c1ab1aa70c246f43fe52b14c6122af246de595900ea838c13971e2728"} +{"episode": 14407, "episode_seed": 45951271, "split": "train", "timestamp": "2025-09-15T22:55:16.227055", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 45951271, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "action": "('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOElEQVR4nO3db2hV9QPH8c/9sztNCEWNAnsSVJYSPiklsFEPIrN6oOQC5xKVUhlpWWBpLhCzplCakY1J4SD6YxeVsD8QQqg9CAWXCpJhJcNEyyWa29299/wefI+b8SvbzO3eu8/7hQ/GHsjhct/7fs/3fM85iSiKBMBDstQHAGDwEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgseQFkUqFEp9EGWE4DF0RZESCaVSKhZLfSjlguAxREWRJLW3a88eJfmex/ggMBRFkYpFRZGWL9dDD2ntWkmM85LSpT4AYAAUi0ql9N57+uQTdXXp5Enp0pjvLRHxKWCIKRSUSmn/fk2frlOndP/9+uorpRnbJKb0GGqiSMmkzp3TihU6dUpjx+rtt5VOM7wHBI8hJ5FQU5O+/FLV1XrjDd1xR7xcD4LHkBLCzma1fr0kzZmjxx/nOvzlCB5DSBjGt29XV5fuukurV6uqqvf3YJUeQ0c4S08k9PrrmjBBkybpxhvjBTxcwio9hoSes/RisXebzeU/QxJTegwRiYSOHdOhQ0omexfkqf3/8ImgwoUddR0dmjlTDz6o3buVSHAR7p9wDo9K1jOTb2xUW5sSCZ04UepjKmuM8Khw4TrcO+9I0pIlqq9nz/wVsGiHihWG9+PHNXWq2ts1dap27NCoUazVXQGfCypTGKhyOS1cqPZ2jRmjNWs0apTyeWq/As7hUYHC3a+FglavjlfpGhs1daryeW6SuTL+FqICRZFSKV28qM8+U3e3Zs1SQ4OKRWr/V5zDowKFL20U6fBhbd6s5cs1bhz7Z/uC4FFpei7FhR/CEh33w/UNU3pUlBD2gQP64w8lEioUqL1fCB6VI4R95IhqavTYYzp2TMmkCgVq7zuCR4UIK/Pnz2vxYp0/r7Y2nTkT/x59RvCoEOG5lGvX6ptvlMnozTc1ZYqiiJX5fmHRDpUgXGDfvl21tcrlNHeutmzhOtxVIHiUvbAOf/y4Hn1Uhw9rwgTt2aORI0t9WBWJKT3KXjKpjg699JKOHNH116u5WSNHcofM1SF4lLcwA/35Z23bpijSqlW6914Vi6zMXx2m9Chv4fuZz2vbNh04oMZGjRgh8VzKq0TwGMp6HmyJgCk9ylIUxf++/17d3dKlV0H2Z3wK+3R44NXlCB5lKeyf++AD3X23GhrU2dnfLbThND+fV2cnI3wvgkf5CRfYf/hBjY3q6tK+fbpwoV//Qdhi39mpF17QggXK5QboQCsP+xZQZsL8+8IFLV2qH3/UqFFqbdXo0X0f3sO7Jzo6tGSJtm6VpDFjtG6d0mmGekZ4lKFkUhs3atcuSVq9WpMm9f06XNiAe/KkZs3S1q3KZJRMatMmffddfHOdOUZ4lJMwjJ85o+ZmSaqr06JF/R3bjx5Vba0OHlRVlXI5VVdr8+b4jwZvneKyHMpM+EK2tWnTJi1bpvHj+/J+uHArXSqlb7/VE0/ol1+UySiX05gx2rpV06YNxoFXBIJHxYsiFQpKp7Vjh+bP12+/xbXfeqtaWzV5Mg/I6MU5PMpSiLgPo1G4Wp9Oa/Nm1dXp99/jmfzkydq5U5Mn84CMvyB4lKVEQqnUv5Ya1vKSSa1apWee0Z9/KplUd7emT1c2q/Hjlc9z3v4XTOlRqcJds/m8Fi7Uli29D7acP18bNmjECN4N/zcY4VGRwgtmzp7VjBnasiV+2UwqpZUr1dKiESNYk/97XJZD5QnPvzl+XHPmaO9eVVUpn9d116mpSYsXS+Ltcv+IKT0qTJio79+vuXN16JCqqtTdrdGj9e67mjkzPqtnle6fEDwqzxdf6KmndOJEXPvNN6u1VTU18RIdtV8B8x5Uhp6B6f33VVvbW/vEidq1SzU18aV4ar8ygkcFCBP1YlFr1mjBAp07p0xG3d164AF9/rkmTmRBvq8IHuUurMBdvKhnn9XKlSoU4o10s2crm9W4cdTeD5zDo6yF2js6tHChPvooPkXP57VsmV59VZkMC/L9Q/AoX2EPfHu7nnxSX3+tdFr5vCStW6fnn4831VJ7v3AdHmUqDN2HD2v2bB08qOpqdXWpulrNzaqv791Ui37hA0PZiaJ4I93u3XrkER08qGHD1NWlsWOVzaq+Pr4fhgX5q0DwKC8997p++KFmztRPP2nYMHV26s47tXOnHn44XqKj9qtD8CgjPfe6btig+nqdPatMRp2duu8+ZbOaMoUF+f+K4FEuwhJdMqkVK7R0abxtLpfTjBn6+GPdfju1XwOs0qMshJi7utTQoJYWpdMqFlUsavFiNTXFd7+xRPff8RGi9MJgfvq0amvV0qJMRvm8ikW98oo2bqT2a4kRHiXW3a2qKh09qvnztXdvvItu+HA1NamhgZfDXWNch0cphdr37dO8eTp6NH4c3Q036K23NGsWA/u1xwiPkgk979ypp5/Wr7/Gd7/ddpuam1VTQ+0Dgk8UJRBGmWRSLS2qq+utfcoUZbPxne3UPhD4UDHYQu1RpNde06JFOn8+rn3aNGWzmjAhfoIVBgLBY7CFXbEvv6wXX5QUP1i6rk6ffqqbboq32WGAEDxK45Zb4idJR5Gee06trRo+nEfNDjj+lmKwhf2z8+bp9GmtX69ly7R8ebxEx3n7QGOVHiUQms/l1Name+7hUbODh+BRYrzpcTAxhULJhDthMZgY4QEjjPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8j8HAjRCGPmQwwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "action": "('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOElEQVR4nO3db2hV9QPH8c/9sztNCEWNAnsSVJYSPiklsFEPIrN6oOQC5xKVUhlpWWBpLhCzplCakY1J4SD6YxeVsD8QQqg9CAWXCpJhJcNEyyWa29299/wefI+b8SvbzO3eu8/7hQ/GHsjhct/7fs/3fM85iSiKBMBDstQHAGDwEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgseQFkUqFEp9EGWE4DF0RZESCaVSKhZLfSjlguAxREWRJLW3a88eJfmex/ggMBRFkYpFRZGWL9dDD2ntWkmM85LSpT4AYAAUi0ql9N57+uQTdXXp5Enp0pjvLRHxKWCIKRSUSmn/fk2frlOndP/9+uorpRnbJKb0GGqiSMmkzp3TihU6dUpjx+rtt5VOM7wHBI8hJ5FQU5O+/FLV1XrjDd1xR7xcD4LHkBLCzma1fr0kzZmjxx/nOvzlCB5DSBjGt29XV5fuukurV6uqqvf3YJUeQ0c4S08k9PrrmjBBkybpxhvjBTxcwio9hoSes/RisXebzeU/QxJTegwRiYSOHdOhQ0omexfkqf3/8ImgwoUddR0dmjlTDz6o3buVSHAR7p9wDo9K1jOTb2xUW5sSCZ04UepjKmuM8Khw4TrcO+9I0pIlqq9nz/wVsGiHihWG9+PHNXWq2ts1dap27NCoUazVXQGfCypTGKhyOS1cqPZ2jRmjNWs0apTyeWq/As7hUYHC3a+FglavjlfpGhs1daryeW6SuTL+FqICRZFSKV28qM8+U3e3Zs1SQ4OKRWr/V5zDowKFL20U6fBhbd6s5cs1bhz7Z/uC4FFpei7FhR/CEh33w/UNU3pUlBD2gQP64w8lEioUqL1fCB6VI4R95IhqavTYYzp2TMmkCgVq7zuCR4UIK/Pnz2vxYp0/r7Y2nTkT/x59RvCoEOG5lGvX6ptvlMnozTc1ZYqiiJX5fmHRDpUgXGDfvl21tcrlNHeutmzhOtxVIHiUvbAOf/y4Hn1Uhw9rwgTt2aORI0t9WBWJKT3KXjKpjg699JKOHNH116u5WSNHcofM1SF4lLcwA/35Z23bpijSqlW6914Vi6zMXx2m9Chv4fuZz2vbNh04oMZGjRgh8VzKq0TwGMp6HmyJgCk9ylIUxf++/17d3dKlV0H2Z3wK+3R44NXlCB5lKeyf++AD3X23GhrU2dnfLbThND+fV2cnI3wvgkf5CRfYf/hBjY3q6tK+fbpwoV//Qdhi39mpF17QggXK5QboQCsP+xZQZsL8+8IFLV2qH3/UqFFqbdXo0X0f3sO7Jzo6tGSJtm6VpDFjtG6d0mmGekZ4lKFkUhs3atcuSVq9WpMm9f06XNiAe/KkZs3S1q3KZJRMatMmffddfHOdOUZ4lJMwjJ85o+ZmSaqr06JF/R3bjx5Vba0OHlRVlXI5VVdr8+b4jwZvneKyHMpM+EK2tWnTJi1bpvHj+/J+uHArXSqlb7/VE0/ol1+UySiX05gx2rpV06YNxoFXBIJHxYsiFQpKp7Vjh+bP12+/xbXfeqtaWzV5Mg/I6MU5PMpSiLgPo1G4Wp9Oa/Nm1dXp99/jmfzkydq5U5Mn84CMvyB4lKVEQqnUv5Ya1vKSSa1apWee0Z9/KplUd7emT1c2q/Hjlc9z3v4XTOlRqcJds/m8Fi7Uli29D7acP18bNmjECN4N/zcY4VGRwgtmzp7VjBnasiV+2UwqpZUr1dKiESNYk/97XJZD5QnPvzl+XHPmaO9eVVUpn9d116mpSYsXS+Ltcv+IKT0qTJio79+vuXN16JCqqtTdrdGj9e67mjkzPqtnle6fEDwqzxdf6KmndOJEXPvNN6u1VTU18RIdtV8B8x5Uhp6B6f33VVvbW/vEidq1SzU18aV4ar8ygkcFCBP1YlFr1mjBAp07p0xG3d164AF9/rkmTmRBvq8IHuUurMBdvKhnn9XKlSoU4o10s2crm9W4cdTeD5zDo6yF2js6tHChPvooPkXP57VsmV59VZkMC/L9Q/AoX2EPfHu7nnxSX3+tdFr5vCStW6fnn4831VJ7v3AdHmUqDN2HD2v2bB08qOpqdXWpulrNzaqv791Ui37hA0PZiaJ4I93u3XrkER08qGHD1NWlsWOVzaq+Pr4fhgX5q0DwKC8997p++KFmztRPP2nYMHV26s47tXOnHn44XqKj9qtD8CgjPfe6btig+nqdPatMRp2duu8+ZbOaMoUF+f+K4FEuwhJdMqkVK7R0abxtLpfTjBn6+GPdfju1XwOs0qMshJi7utTQoJYWpdMqFlUsavFiNTXFd7+xRPff8RGi9MJgfvq0amvV0qJMRvm8ikW98oo2bqT2a4kRHiXW3a2qKh09qvnztXdvvItu+HA1NamhgZfDXWNch0cphdr37dO8eTp6NH4c3Q036K23NGsWA/u1xwiPkgk979ypp5/Wr7/Gd7/ddpuam1VTQ+0Dgk8UJRBGmWRSLS2qq+utfcoUZbPxne3UPhD4UDHYQu1RpNde06JFOn8+rn3aNGWzmjAhfoIVBgLBY7CFXbEvv6wXX5QUP1i6rk6ffqqbboq32WGAEDxK45Zb4idJR5Gee06trRo+nEfNDjj+lmKwhf2z8+bp9GmtX69ly7R8ebxEx3n7QGOVHiUQms/l1Name+7hUbODh+BRYrzpcTAxhULJhDthMZgY4QEjjPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8j8HAjRCGPmQwwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "action": "('move', [0.20901969235143877, 1.3658256147224013, 6.385522378964358])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItklEQVR4nO3d3atldR3H8e9vnX1mQJOCLtILCRTE0Cv1xrFMYZqgQoR8ukgzmEzUZlALfEDwGabnB/wH1KsaURhNe1CSnLpJiKhULDAQFMRxGmkc23uvXxdbDMzSdOjscz6v19WGc7NY8N6/716/s9ZqvfcCMgxrfQDA/4/gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjg2ch6f+uHcIJnw+q9WquXXnrjg+ZL8GxUi8hf2VdnnlmXXFL79lVra31MS0DwbEC912xW02nt3NGffrrfe2+ddVY9/XRV1Tiu9cGtKcGzAY1jra7WPXf3H+1uk9XWWn/1QD90qHpPH+xbDz8BbDjzWa1M6ve/61u3jS+/PLShbd5U999f27bVfF4rK2t9fGvKCs+G0nsNK/W3/XXNtfXSS8MwtPmsdu7o27bVbJZeewmeDWZxre5b3+6PPtY2bWqzWZ15xuzW21rvNZms9cEtASM9G8ei9ocfGj/zuWptqKoPf7jv3VsnnNAWf8KXHhvEYuV6/vm64sqqGhbT+3e/0044odT+JiM9G0drdfXV/bm/DpNJzWb9kovn51/Q5/O1PqxlIng2gtmsWqvvf7/uu69t3lyzWZ16Sn3jG8Pmza01y/u/+A3Pujeb1WRSv/pVnXtuvfJKtVZHHVW7d9fWrfbh3soKz/rWe62s1Cv76sYb+759tbpa41hf/3pt3Wof7m1Y4VnfxrGGoXZcNf7wrpqsDrNpffaztWdPVZnk34bgWccWl9/v293PP79WJm0+r2OP7Y8/3j760SrBvx3Bs14tan/uudqypb/4YmutxnHc/eP6/HnDYtnn3zkrrEuL22B6r8u/PH/hhdq0qcaxX3t1U/t/58Sw/vRe02m1oW69ZfzpL4bJpL3+en3i43XdDc3A+t8Z6Vl/Fpttjz3aL7iw7d9fvddRR84ffmQ4fUtbbNHxn1jhWWcWE/uLL9bOnfXyy70NNY51xx3t9C1tPlf7OxA868liHh3Huumm+sMf2+pqm03rvPP65VcM83kNdt3fiZGe9WRxZf6ee+rSS2tlpabTOu642ru3jj56rY9snRA868ai9qf+1Lec3vcfGCaTWlmpPXvqU58qV+bfJSeJ9aH3Gsd69dW6bHvff2BYXa3ZrK6//o3a/Y/NuyR41odxrJWVuvOO/sRvhsmkptN+9lnjjh1vPIVW8O+SkZ51YLHZ9uCe8cKLajpt83kdc0z/6SPtpJOb++H+J1Z4lt1is+0vf+5fu7YOHhzGsVW1m29uJ53c3A/3vxI8S21xoW4+r5tvqWeeHTZtqvm8X/yFcft2u+7vhZGepba4/H7XD8ardtZkMsxmddLHxr2/Hj74IU+qey8Ez/JaJP3kb+vsT45/PzQMQx1xRP/Jw+2MLWp/j4z0LKnFSnTgQH3l8nr14NCGms3G66/rZ2yp+Vzt75HgWUaLXffW6oYb6skna/Omms/qnHPaNdcMdt3fDyM9y2g2rclq3Xv3+MUvtao2jnX88fXgg3XiiZ5L+b5Y4Vk641iT1Xrmmbr19tZ7W1mpYei3314nnljTqdrfF8GzXBYT52uv9WuvHp99tiaTmk7rq1f2iy564yXQvB+CZ+kMQ/3ge/2hh9vKpE2nddpp/bY7Pbjq8PAbniWy2Gx74on69KfrH/+o+aw+cOT8l48Pp5zqbZCHh+9MlsUi6RdeqMsu6wcPVmvVa9z1zXbKqc2V+cNF8CyLxVsf7767nnqqLR5ucfHFw/bt9uEOJyM9y+XQodq1q3btqqM/0n/28zr++La4MZbDQvAsowceqCOOqG3b7LofZoJnufReb94G58r8YSd4ltHife/W9sNO8BDEwARBBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/gkrsyzGhAdmoAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cf041fadb29f7eab9df3b4017384add7a50e246d6db1ce73e261e29508f2cbf5"} +{"episode": 14408, "episode_seed": 2880889459, "split": "train", "timestamp": "2025-09-15T22:55:17.206395", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2880889459, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "action": "('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQ0lEQVR4nO3dXYgV9QPG8WfOmeNLaheFhC9LUS2IWUKQ2QsaWBKkBkGboKzJioSyJaRihr15UWlhC2UJu2K1S0muYSZSF1KIF7UXWS6VRbFL9Kr24iq6Z88587+YcdH8m7sW7s4838+lejFy9rsz83s7QRRFAuAhN9AXAODiIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCx+AVRSqXB/oisoXgMUhFkYJA+TzN/5cIHoNRpaIg0JEjOnBA+bxKpYG+oKwgeAw6USRJpZLWrNGsWXrnHYUh9/n/RjjQFwCcIa49ivTss2pqUrGoujr99puWLk3+PAgG9gLTjTs8Bp0gUE+P2ttVLGroUHV16ZFH9MQTyV9xq/83CB6DSxAoijRsmDZv1uLF6u5WGErS2rVaskQnTjCM968QPAaduPkRI7Rpkx5/XOWyokhhqFdf1YIFOnSI5i9cEMXvTMAgE/9gBoEaGrRypYpFhaFKJU2bpsZGVVerXFY+P9BXmTYEj0GtVFIY6q23tHSp/vhDQ4aoWNR116mxUVOn0ny/ETwGtXixXRhqzx7V1amjQ8OG6eRJjR2rTZs0a1YyY8/QfR8RPAa73uYPHFBtrfbv19Ch6u7W8OHauFEPPkjz/cCgHQa7IFAYqlLR9dfr/fc1Y4a6uzVkiE6c0MKFeuEF5XKSVKkM9IWmAcEjHXI5RZHGjdP27Zo7V8Wi8nkFgVas0MqV6ulRLkfz50fwSI0gUKWiSy/Vli2qr09m5goFrV+vRYv055/K5ZiuOw/e4ZEy8W08ivTcc1qzRlGUvNLPnKnGRlVVJQP7+L8IHukTN5/LqalJy5bp2LGk+cmT1dysSZOYrjsngkcq9S7L2bVLixbpl19UKKinR1VVam7WtGkql5XLMXT/d7zDI5Xiebgo0j33aMcOTZyonh4VCvrhB82Zo+3blc+rUhG3s78heKRYvHluyhTt2KHbb0+aP3pU8+frtdeSp3qG7k9H8Ei3+Dyca69Va6vmzEnm54pF1dfrqacUBEzXnYF3eGRBPEp38qSWLtXmzZKSHXWLF+ullzR8uCqVZH2OOYJHRvQmvXq11q9XqZTc22fPVlOTRo9muk4ieGRJ7wFYL7+s1avV1ZXsqJ06VW+8oepqmid4ZEsUqVJRPq9t27RkiQ4dSqbrJkzQ669ryhT36TqCR9b07q7bu1e1teroSHbRjx2rpibdfXfybzybJ3hkUzyM9/XXuv9+tbcn9/mRI/XKK6qtlVybZ+AS2RQvvJkwQR9+qOnT1dOjMNSxY1qwQM8/r3I52YrjhuCRWfEo/Zgxeu89zZ2rUkmFgoJAq1bp0Ud1/Ljj7joe6ZFx8Xk43d1avVobNigMk5f8mhpt3KjLL/eaoid4ZF/cfBRpwwYtXy4peaWfPl3NzRo/3uh9nuBhoffcu5YW1dUlh2QVi5o0SVu3auLEgb6+i4Xg4aJ3R+0HH2j+fB0+nDRfVaWWFt18s8Iw+8/2BA8v8Rt7W5vmzdO33yYnZ4wZo7Y2jRuX/ff5TP/ngLPEI/M33aSdO3XrrerulqRlyzRunKIo47WLOzw8xctyfvpJDz2k6mq9+KLLuB3Bw1TcfFeXhg1TGFrULoKHs943dpPbuwge5nqH7k14bw6GPZ/UY1kflARwGoIHjBA8YITgASMEDxgheFwovskphZiHB4xwh0c/RZGiKFmG/uWXKpcdj4ZLLYJHP8XnSGzerE2bdO+9+uYbx6PhUouVduinSkW//qqGBkmaMUMTJmR/E3mG8DmhP+K2163T4cMaPVpLliSnPbutUE0tgkefxWG3t6ulRZJqanTDDcmXvCAlCB59Fge/b58OHdJll2n5cqNtpVnBtBz6LB6fL5fV1qaDB7VwIcGnDsGjPyg85XikR58dP57Uzhq71CJ4nE/cdrGoJ5/UnDn65BNu8ulF8Oib/fvV0KCdO/XFF8n3NiGFCB59UKlo/XqVSpoyRTNnDvTV4MIRPP5RfCfft0/btqlQ0Pz5uvJKlUosrUspPjb0wTPPSNLkyaqpYSFtqvHJ4dzKZQWBdu3SRx+pUNDChbriCoJPNebhcQ7xD0Z3t+68U/v26cYbtXevhgxRPs8ofXrxqxrnEC+kPXhQP/4oScuX65JLlMtRe6pxh8c5xAtpg0A//6ytW/Xww9SeAQSPfxR/5SKygkd6nKV3ad2xY8rnFUUcYpUZBI+zxM/tra2aMUPNzcmsO0+CmUDwOFP86t7Vpaef1qefavdu3tuzhOBxliDQli06eFAjR6q2VmGoUonss4FBO5wpinT0qCZPVmenHnhAb7+dzM8RfCZwh8dp4jv5hg3q7NSoUaqvl8QZlVlC8DilUlE+r85OvfmmJM2erdtu44zKjCF4nBKvnG9o0Pffa+RIPfYYB1plD8FDklSpqFDQ0aPq7FQ+r3nzNGmSJPbJZAyDdjgl3gYXRWps1F136aqrBvqC8N8jeJymVGIzXLbxwAZJUrmsv/5SGCoIVC6zri6rCN5e3PZ33+mWW7RqlY4cSdbPI4sI3l78AL9unb76Sq2t+v13SQSfVQTvLf5Kic8/V0tLckZldXXyJo8sInh7QaC1a3XypK6+WnV1HFmXbXy0xuJ9rx9/rN27lcuptlbjxxN8tjEt5yreBpvL6b779O67uuYaffaZRoxgn0y28bvcVbmsXE6trdq5U5JWrNCoUdSeeeyLcBWH3dGhESNUVaUFC1g574BHemNx4Xv2KJfTHXcM9NXgYiB4bwzRmSF4e+WyJCbeTRA8YITHOcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5H9QGRJIVLYXiAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "action": "('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQ0lEQVR4nO3dXYgV9QPG8WfOmeNLaheFhC9LUS2IWUKQ2QsaWBKkBkGboKzJioSyJaRihr15UWlhC2UJu2K1S0muYSZSF1KIF7UXWS6VRbFL9Kr24iq6Z88587+YcdH8m7sW7s4838+lejFy9rsz83s7QRRFAuAhN9AXAODiIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCx+AVRSqXB/oisoXgMUhFkYJA+TzN/5cIHoNRpaIg0JEjOnBA+bxKpYG+oKwgeAw6USRJpZLWrNGsWXrnHYUh9/n/RjjQFwCcIa49ivTss2pqUrGoujr99puWLk3+PAgG9gLTjTs8Bp0gUE+P2ttVLGroUHV16ZFH9MQTyV9xq/83CB6DSxAoijRsmDZv1uLF6u5WGErS2rVaskQnTjCM968QPAaduPkRI7Rpkx5/XOWyokhhqFdf1YIFOnSI5i9cEMXvTMAgE/9gBoEaGrRypYpFhaFKJU2bpsZGVVerXFY+P9BXmTYEj0GtVFIY6q23tHSp/vhDQ4aoWNR116mxUVOn0ny/ETwGtXixXRhqzx7V1amjQ8OG6eRJjR2rTZs0a1YyY8/QfR8RPAa73uYPHFBtrfbv19Ch6u7W8OHauFEPPkjz/cCgHQa7IFAYqlLR9dfr/fc1Y4a6uzVkiE6c0MKFeuEF5XKSVKkM9IWmAcEjHXI5RZHGjdP27Zo7V8Wi8nkFgVas0MqV6ulRLkfz50fwSI0gUKWiSy/Vli2qr09m5goFrV+vRYv055/K5ZiuOw/e4ZEy8W08ivTcc1qzRlGUvNLPnKnGRlVVJQP7+L8IHukTN5/LqalJy5bp2LGk+cmT1dysSZOYrjsngkcq9S7L2bVLixbpl19UKKinR1VVam7WtGkql5XLMXT/d7zDI5Xiebgo0j33aMcOTZyonh4VCvrhB82Zo+3blc+rUhG3s78heKRYvHluyhTt2KHbb0+aP3pU8+frtdeSp3qG7k9H8Ei3+Dyca69Va6vmzEnm54pF1dfrqacUBEzXnYF3eGRBPEp38qSWLtXmzZKSHXWLF+ullzR8uCqVZH2OOYJHRvQmvXq11q9XqZTc22fPVlOTRo9muk4ieGRJ7wFYL7+s1avV1ZXsqJ06VW+8oepqmid4ZEsUqVJRPq9t27RkiQ4dSqbrJkzQ669ryhT36TqCR9b07q7bu1e1teroSHbRjx2rpibdfXfybzybJ3hkUzyM9/XXuv9+tbcn9/mRI/XKK6qtlVybZ+AS2RQvvJkwQR9+qOnT1dOjMNSxY1qwQM8/r3I52YrjhuCRWfEo/Zgxeu89zZ2rUkmFgoJAq1bp0Ud1/Ljj7joe6ZFx8Xk43d1avVobNigMk5f8mhpt3KjLL/eaoid4ZF/cfBRpwwYtXy4peaWfPl3NzRo/3uh9nuBhoffcu5YW1dUlh2QVi5o0SVu3auLEgb6+i4Xg4aJ3R+0HH2j+fB0+nDRfVaWWFt18s8Iw+8/2BA8v8Rt7W5vmzdO33yYnZ4wZo7Y2jRuX/ff5TP/ngLPEI/M33aSdO3XrrerulqRlyzRunKIo47WLOzw8xctyfvpJDz2k6mq9+KLLuB3Bw1TcfFeXhg1TGFrULoKHs943dpPbuwge5nqH7k14bw6GPZ/UY1kflARwGoIHjBA8YITgASMEDxgheFwovskphZiHB4xwh0c/RZGiKFmG/uWXKpcdj4ZLLYJHP8XnSGzerE2bdO+9+uYbx6PhUouVduinSkW//qqGBkmaMUMTJmR/E3mG8DmhP+K2163T4cMaPVpLliSnPbutUE0tgkefxWG3t6ulRZJqanTDDcmXvCAlCB59Fge/b58OHdJll2n5cqNtpVnBtBz6LB6fL5fV1qaDB7VwIcGnDsGjPyg85XikR58dP57Uzhq71CJ4nE/cdrGoJ5/UnDn65BNu8ulF8Oib/fvV0KCdO/XFF8n3NiGFCB59UKlo/XqVSpoyRTNnDvTV4MIRPP5RfCfft0/btqlQ0Pz5uvJKlUosrUspPjb0wTPPSNLkyaqpYSFtqvHJ4dzKZQWBdu3SRx+pUNDChbriCoJPNebhcQ7xD0Z3t+68U/v26cYbtXevhgxRPs8ofXrxqxrnEC+kPXhQP/4oScuX65JLlMtRe6pxh8c5xAtpg0A//6ytW/Xww9SeAQSPfxR/5SKygkd6nKV3ad2xY8rnFUUcYpUZBI+zxM/tra2aMUPNzcmsO0+CmUDwOFP86t7Vpaef1qefavdu3tuzhOBxliDQli06eFAjR6q2VmGoUonss4FBO5wpinT0qCZPVmenHnhAb7+dzM8RfCZwh8dp4jv5hg3q7NSoUaqvl8QZlVlC8DilUlE+r85OvfmmJM2erdtu44zKjCF4nBKvnG9o0Pffa+RIPfYYB1plD8FDklSpqFDQ0aPq7FQ+r3nzNGmSJPbJZAyDdjgl3gYXRWps1F136aqrBvqC8N8jeJymVGIzXLbxwAZJUrmsv/5SGCoIVC6zri6rCN5e3PZ33+mWW7RqlY4cSdbPI4sI3l78AL9unb76Sq2t+v13SQSfVQTvLf5Kic8/V0tLckZldXXyJo8sInh7QaC1a3XypK6+WnV1HFmXbXy0xuJ9rx9/rN27lcuptlbjxxN8tjEt5yreBpvL6b779O67uuYaffaZRoxgn0y28bvcVbmsXE6trdq5U5JWrNCoUdSeeeyLcBWH3dGhESNUVaUFC1g574BHemNx4Xv2KJfTHXcM9NXgYiB4bwzRmSF4e+WyJCbeTRA8YITHOcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5H9QGRJIVLYXiAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "action": "('move', [-4.229322785239813, -3.407436671426375, 52.12801574338577])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "74237c8024014978cc7d3210f3e4d445700fb4152d629eec6b69ed23a385b3ac"} +{"episode": 14409, "episode_seed": 835261415, "split": "train", "timestamp": "2025-09-15T22:55:17.837662", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 835261415, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "action": "('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "action": "('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "action": "('move', [-3.348332648575125, 0.447437805234727, -12.001525299113572])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK40lEQVR4nO3de2jV9R/H8de5rK2VWEsR6m+jKCSYWpgRbVrNaFnZlDJBTJbYhNL2R6BdFEeihVBg2yyimmzVhvMy7bKBRYTrj8wyIcTWH0XI0oaL6c7l98f369ksd3M3f3s9H3/ptnN2kPP8fj+f9/meYySdTguAh+h4PwAAY4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASME7y2VUiIx3g8CYyeSTqfH+zFgnKTTikQkKZlULDbejwZjgTO8q1RKkYhOnNCePYrFlE6LQ78BgrcUtN3errVr9eSTeuUVRSKKRGh+wiN4S+m0olF1den333X2rF59VYsX6++/aX7CI3hL0ahSKd10k/bv15IlklRXpwcf1PffS6L5CYzgXUWjSqc1ZYp27dL69crJ0bffatMmJZOSlEpdXvaMAq5wTOntBbP6nTtVU6Pt23X77T1D+8wYf4j3F+wYcAUieEiJhOJx/fWX8vLCr5w6pWhUN9ww1OY7O3XNNeGfg2fW0I8YGEUchyHF40qllJenVEqSzp7VY4+pqEjHjikSGeTyPrh+5733dOut2rkzfNVv0LfGGCF4SLowxgvS3LtX33yj1lYVFamxMdztB8eCPqRSisf1xx/64AMdP66VKzVjhurq1NGhaFSRiBIJsr8iEDwuiEbDrfuSJaqu1rRp+u03lZRo27ZwUx7M8y4lOBocOKDDhyUpHtdPP2nxYhUW6uOP1d6ueDzMHuOLPTz+I9i3f/21nntOR45IUmmpNm9WXl5fW/rgSfTzz6quVn292tokKStL3d2SVFCg5cv1+OO6+molk4pEGOmNG4LHpQRjvJMnVVamffskqaBAFRWaNUupVP8X3h85ol27VFmp06fDRUOQfWGhnnpKy5dLzPPGD8GjD0HzHR167TVt2yZJBw/q/vuVSITB/6fXVCrczEs6dkzvv6+331ZnZ3hKTyYVj+vOO7VmjUpKem4SzPYwNggefcu8IF9VpdOn9eKLF73C3sd77JLJcFAn6cQJbd2qmhp1dEgXJoNZWcrP14YNuu8+5eRICo8hZD8GCB79+temPfhrQ4PmztXUqeEq4FI36n1kOH5cW7Zo/379+ackxePh9K6gQOXlmjNHkyZJ6uvOMJIIHoMQPEmC3fubb+qFF1RYqLfe0i239J9p77364cOqrFRjo06dUiSieDzc2xcX65lntGCBYjElEopGGemNIv5pMQi9T/Lt7ZL05ZdauFCffx5etNPHaSPzptvubs2eHc7wn31W2dnq7lYspnhcjY0qLtaiRfr0U8XjF10QgBHHGR6DFjxV0mlVV+v55/XPP8rL0+bNKi0Nv97vLjyZVDodrgZaW1VZqXffVSoVns9TKeXm6t57VVamoqKLfiF7+xFE8Lgszc1asUK//qp4XKtXa8sWXXXVYG6XmfQlEvrxR1VUaPdunTsnKVwL5Obqnnu0fr3uuiv8yd5TQAwTwWOIMhO5X35RaalaWiRp3jzt3avs7CHdQaC1VRUVamnRmTPShUm+pEcf1bp1ys9XdrbS6fBVPQwTe3gMUeZV9enTtXu3Vq2SpNzccPKeTA543XzmSrvgp2bNUn29PvlETzyha68NF/mxmBoadPfdWrlSLS3hkC+R6P+KfgyMMzwuV2b/XVWlhQs1deplv38+c/ZuatKHH6qmRlLPej47WyUlWrZM8+aFX2GFf9kIHsPQe3Ue7M6bm9XcrJdfVlbWkPrPjPSSSR06pB07VFcnSbFYOLTPy9P8+VqzRnPm9PxyMdIbIoLH8AQnaEmxmNraVFyso0f18MOqqtK0aUO9dDbzon5Xl777Tps26bPPwkNKsJi/7jo98IBeekkzZoQ34YQ/JOzhMTzB9jpo7vrrlZ8vSXv2aP58HT4cljronXc8Hh5AcnI0d66amvTFFz1X4EYiOnNGtbWaOVMrVujo0fBSoMwxBwPiDI8RklnAv/66Nm5UZ6emTNEbb+jppy/67qDvTL2W6w0NeucdNTeHl+tI4bZ/1SotW6aZMyWF3+Iqvf4RPEZUMMmrr9e6dTp5UtGoysu1YUPPOXqIgs/aCSKvrVVNjRobJSkrS8mkUilNnqylS7VsmWbPDn+e5X0/CB4jrbtbWVn64QeVlenQIUlau1Zbtw7nLjNTgq4uHTyoHTt04IDU6304N96oBQu0erXuuGOYj36CYwGEkRZ80s2MGWpo0NKlmjRJDz0kDev/twjW6omEcnL0yCOqrdW+fZozJ6w9+Di96mp99ZUk9vP94QyP0RG8SnfunNradPPNI3WvvVf458+rqUkbN+roUZ0/r9tuU329pk8f8CN5rBE8Rs2o7af/NdL76CNt365Fi1RezpvqB0DwGGWjOUbLlJ9Oq6NDkycztBsAweP/HtfeDB7BYyLgMttBYruDiYDUB4mX5QAjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkf4iE+XFhdy+IAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "844eeb3dd744d78c4466a5f8d3fa92e601e15e1eb8158b935a64409425ca0d5f"} +{"episode": 14410, "episode_seed": 2743048461, "split": "train", "timestamp": "2025-09-15T22:55:18.464302", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2743048461, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "action": "('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "action": "('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "action": "('move', [5.495742186942831, -6.871406696120327, -30.973023067314227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvUlEQVR4nO3dTYxdZR3H8f85984whAYSZEHSBAIEAzSgsEDEUGMaDPIiYtBQEYKhgIItCmgQIgtRUV4kgkGlpSAtgShtWiVNWLMC9oSEhF0NBBN5Kc0wM/ccF3csiREVbJk7/X0+67t47uJ7n3Oe8zznNn3fF5ChXeoBAB8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwROn72s0WupBLBHBE6dpajAIbV7wZBmNajSql15abL7vl3pAHy/BE6TvazCoBx+siy6qp5/uB4Pq+6zmmz7q6xKs76tpauvWuu662ru3Vqzof/mLuv6Gpqq6rtqMuS/jW0ItzuS7dtXevTUY1J49zY3fa+64o6qqbavrlnZ0HxPBk2I8h2/eXOvWdaNRNU0tLNSdd9Y16/q971bbRizjCZ4gfV8zM7VxY3vHj/vhsNq2Bm1teqTWXta9/loNBrWwsNRDPMDcw5NlvErXtvXQQ/0tt9TsbDPu/HOf7f+wpTnhhBqNajBY6lEeMIInznjjzXBY27f3V3+re/PtwfR0zc3VySfXE0/U6acv9fgOJMGTqO+r62owqOee69eubXbvrnHzRx/db93arFmzuMLXNEs90P3NPTyJ9m22O+ec5tln65RTam6upqfrtdeai7/cPfXUYuoH39K94Mk1GFTX1apVtWtXrV692Py7e9srvln3/2rx2vcga17wRBs/jTv22Nr2p/7rX+vn5mpqukZ93XRz3frDbvyg7mBq3j08LK7M79lTt99eDzzQt23TNDUa9Vde3v1u4+DQQxd36R0EBA9V/9xdu7BQ99zT33ZbX9UOp2phvv/SF0dbnxweeeRBsv1W8LBoX9KPbOy/c0M3Pz+Ynqq5+TrzzP7JJ5vjj6+FhRoMlvdUv/x/smA/advq+6q+rr6m+eNTzSeOHM3N1yGH1AsvNBdcUC++WMNhLSws79N1gof3NU1VU6NRfeWr7banm+OO6997r6an6+WX65JL6plnampqeW+/FTz8q/Fm289/od2xoznjjJqbq+Gwdu+uK6/oN2/qp6aW8bq94OHfGF+9n3Za7dxZ5523ePf+9zeb62+ou37WjW/1l+O1vUU7+EALCzUc1ltv1Yb1/eNbajhsRqPq+/77G0b33j8cP8NfXidtzPDwgYbDGo3qiCNq86PNzTf1o4VuMKjBoLn/gfaqK0fvvL38TtQKHv6T8XvvBoO69772rp/31Y+6roZT7ZYn2rWXdX/dvfijsFy4pIf/bt8p+s2buvXra+9sOxzWwkL/mTPrkc3NqlXLZluO4OF/Nb6l/8vO7up19cbf2qmpmp+vE0+sTZtq9erl0fzEDxAmxnjp/qKL2x0720+e2M/P18xMvfJKXXppbdu2eA5nwidQwcOHMG7+7LNr55+bs86q2dmamak33qjLv9H9/rfd5L/oXvDw4QyH1XV10km1Y0ddeGHNzvbT0/XeXPvt6+unPxlN+Jsz3MPDRzE+MLtnT21Y3z36WA0Gbd9X13U3frfuvq+dnp7QE7VmePgomqa6rlasqIcfbn9wUz8adV1X01Ptr3/TXHVV/9Zbix+YNGZ4+OjGSTdN3Xt3d+uPquvbmZmane3PPbfZtKmOOWbi5nnBw/9l3wtwH3u033BjvfNOMzNTs7P16U/1j29pVq2qqgl6XCd42A/GD+F37eqvvfb9l16vXFnPP18rV07QPD8xvzywnI3/jvL885sdO+rUU/u5ub6q1qypFSsm6ymdGR72m/HhuVdfrcsvr8MPr+3b67DDJmh6L8HD/jVu/vXXazCoo46arNpL8LDf7dtUP2m1l+DhQJjYv6YbLvUA4CA0gamPWaWHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIP8As5wo8a1R35wAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "15d8ecab8f3c3148788f0867bea7e4241c13b12214e05dabcd091f92e7214910"} +{"episode": 14411, "episode_seed": 1770619135, "split": "train", "timestamp": "2025-09-15T22:55:19.092426", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1770619135, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "action": "('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKe0lEQVR4nO3dTYhdZx3H8d+5d2YSaowmbRMtbUpjLbSCFCkKRZFCqK0oviCCG4uUducLuHYhuBMiCm60C8GFiCjVbnRhEN1IKbQUoQXNS6tto7ZpQmzeZu49Ls5J0mWSzrnnTv6fzyLMnE0ehvnyPOc5zz3TtG0boIbJ2AMAFkfwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KGTv4ts18PvIYoIymbduxxwAsyKgzfNvm5Mn8+tf54Q9z5ozZHoa2Mtr/3LZpmjz3XL70pUyn+dCHcuCA4GFQY9/D33NPPvKRzOf56U9z9mwmk7jFgMGMF3zTZD7Pnj35xjfStnnyyTzzTJpmtPFAAWPP8G2bhx7K/ffnwoV873s5e1bzMJxRg59MMptl79488kiS/O1vOX48iVU9DGS8TbvOZJIkn/tc3norBw7kjjuSmORhIEv2HH4+T9MIHgYy9j18p22zvp75PJNJmsaSHgayHME3TVZXM5nkd7/LJz+ZX/4ySTY2xh4WXG+WaUk/n+e++/Lss3nwwfz2t1lbs7yHzbUcM3xnMsl3vpMkf/pTnnoqk4mDd7C5lib4bqHx8MP5xCdy4UKeeCKnT2c61TxsoqUJvtur27493/52khw6lEOH+uvAJlma4DttmwceyIMPZmMjBw9mfV3wsImWKfimyWyWnTvz2GPZti1//nN+8YvEwTvYNMsUfNLftHen65P85S9jDwiuK8v0WK4zm2U6ze9/nxdfzCOPZNeusQcE14/lCz4X340BbLYlW9J3uo/Kr6+PPQ643ixl8Ekmk6yu5vTpfPe7+eIX8/rr3ngH79xSLulzcVX/xz/mwIEkeeKJPPpof3sPXKtlneE7DzyQz342TZOf/CQnTjh4B+/QsgbfHbybTPKtb2U6zdNP56mn+uvAtVrW4C/5+Mfz+c8nycGDOX3ap+XhnVji4JsmGxtZW8tjj2X79jz/fH71q/46cE2WddOu07b95vxXvpLf/Cb79+evf82NN3pQD9dmiWf4XHwgv7KSxx/PfJ6XX87zzydO18M1Wu4ZvtON8Ec/yu2356GHsn372AOCrWorBA9skuVe0r/dfJ7ZrP/C03i4Jlsn+KbJZJIXXshXv5of/zht2/cPXLEttaSfz/Poo/nZz3L33fnDH3Lbbf2r7IErs3Vq6Q7eff3r2bkzL7yQJ5+8fB24Mlsn+O6M3Yc/nC9/OUl+8IP897+md7gqWyqY7pn8176WXbty9Gh+/vPEwTu4Clsq+O5PU9x/f77whSQ5eDCnTo09JthKtlTwlz458/jj2b07x4/n+99P4ikdXKEtFXyS6TSzWT72sXzmM5nNcuhQZjMfoYMrtDL2AK5ed8D+m9/MPffk05/urwBXYEs9hwfema22pH87Z2zhKpnhoZCtPMMDV0nwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgpZGXsA17O27f9tmjTN2KOBpGm730qgADP8UGazHD6cY8fy7LP51Kdy7739VA8jEvzm68I+dSr33Zf19Zw7l7bNvfeqnfHZtBvK6mr27s25c0ly5Ehms7EHBIIfQjeTr63lrrv6K0eP9uXbMGFcgh/K2lo+8IH+6yNHcv78qKOBJIIfTtNk//4kWVnJSy/1MzyMS/CDmM+T9DP8dJrZLK+9Nu6IIBH8oG65JU3Tx/+Pf4w9GhD8oHbsyO7dWV9PLgbvyRzjEvwgurDf/e7s29dfMcOzDAQ/IMGzbAQ/oB07BM9yEfwgmiazWZqmD34yyalT+fe/xx4W5Ql+KN3m/C239N/OZv0k77AdIxL8UCaTJLnppmzblvk8Gxs5fDgRPKMS/LD27MnevUkyn+fIkUTwjErwQ+mezN10U/bs6a/Yt2N0gh9KF/zNN+d97+uvmOEZneAHtLGRbdsuz/BvvJH19Uynmmc0gh/KpVP0739/f+XMmbz8stO1jEnwA+ravvXWfsf+rbfy0kvJxSd2sHiCH9Cl4HfsSN4WvCU9YxH8gLrgb7st731vkly4kGPHEsEzHsEP6FLw73lPf8UMz7gEP6DJJLNZdu/Ozp39lf/8J0lWvByckQh+WN3+XHfYLsmJE3nzzUwm9u0Yh+CH1a3qL72+9o038uqriVU9IxH8sLrg77ijX8a//nqOH08Ez0gEvwj792fbtiQ5ebJ/fa3gGYXgh9XN8JeCT/olPYxC8MPqztjdfntWV/sr3Qw/mZjkGYHgBzefZ23t8kb9K6/k/PlMp6OOiaoEvyCX/rDkq6/m5MnEbTxjEPzgutv4O+/sv33llZw4MeJwKE3wC9I9im+avPZa3nwzMcMzBsEvSDfDr6zk/Pk+eFg8wQ+uW9J/8IOXr/zrX5evwyIJfkF27cqNN2ZjI7n4cruJnz0L55duQVZWcued/X370aM5dy5xG8/CCX5BVlYuf4Tm2LGcOTPqaKhK8AsymVzeqD98OGfPjj0gShL8InRL9y741dWcOJH//W/cEVGU4Bfh7cF3m/P//OeY46EswS/OzTf3L71K8ve/J57MsXCCX5wbbsi+fZnNMp32r6+FBRP8InQz+Y4d2bcvbZvZLM8845kcI/D+1MW54YbcdVdefDF3352PftR6nhE0rYlmgY4fz+nT2b0773pXtm8fezTUI3goxJJ+odo2bdsv5i3pWTwzPBRilx4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g9hREpFCC0mtAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "action": "('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "action": "('move', [-8.372736072743749, 15.937421022668785, -53.740490880647506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIzklEQVR4nO3dS6xdVR3H8f/a5xIKVB6VYkLFAIJITcMjaa1DMRoHPkdIVF5RE62JhhnGOPKZGIRBnRhNS0wajUpAExWNDH0EI5WHNMVggYqtgEY6ALx3LwenlxAn3pZbz7n9fT6jppO7Jt/z32fttfdpvfcCMgyzXgDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CDL74MexxnHWi4AMrfc+6zUA/yezn/A//Wnde29V1dLSrJcCJ7uFGf7t3uvaa+uuu2r79n71Ve2159Y41jD7jyA4ac3ykv7FF2vduuk/x9272vU3tHGphsmslgMnv1nO08mkNpw9Dq1aG75xW//nP/owsYEHJ9Asg19YqI99vI29JpN64I91z49bVbU2wxXBSW5ml/S9V2v1+OO1bev43D+GqnrjRUt7H5ysW6d5OFFmNuGnVV90UX1qR5vu1e3/87B7V7VWbhTCCTLLTbulpZpM6rH949uvaQcPtqq6+MLxjw8N69bZq4cTYsabduNYl1w63HRTm17h/+WJYefOGoZaXJzhuuCkNeNJ2nv1Xjfe2C+6sPdeS0u1e3cdOlTD4MIeVt+Mg59MammpLr64XXtd670mk9q3r+68sxvycCLM/iz9OFZr9de/1vbtdfBg9V5XXFH33FMXXFC9+zIPq2n2PQ1DjWNt2lQ33zT2XgsLtXfveNcPe5Wrelhls5/wtXxP/rnn6i2b+6HDraouu6z/8pe1aVNzuh5W0VzENL33vmFD3XJLnw75Rx/tP/qRg3ewyuZiwtfy1fvhw7X9rf3AE60N9bqN40MPtw0bjt6xA169uZjwtTzJzzuvPvPZ1nufDPX039q3viV0WE3zMuGrjj4M/+ST/d3vrkceacNQG187/mnfcNZZvsbD6pijklqrpaW64IJ28801tGqtDv19+PrXaxi8DAdWx3wFX1W913Ufqs2b+zTy7363nnqqWvOcPKyCOQq+lg/enb+pfeSjbTKpYaiDB+ub3zTkYXXM0Xf4qekkP3Kktm6t/fur97rkkvrJj/tlb27Tp+uA4zZfE77q6GMzZ55Zn/xkTe/JP/ZY37Nn3j6XYE2auwlfy/fkX3ihtrxlfPzA0Hu94Q39F/e2S9/ktbbwqsxjPdPdu9NOq1s/N4xjX1ioAwdqz54+fcwGOG7zOOFf9vzztW3buG/fMAx19tnjH/4wTB+hkz0cn3mc8FN9rPXr69ZbW+/jMKlnn207d/Zyuh5ehfmd8NN1/f2Zet97+m9/14ah1p8xPvTw8PrXV8kejsv8TvjpYZvzNtYnPlELC+Mw1L+eH7721dFrbeG4zW/wtdz8e9/Xtm1ti4vVhvre99r+/Q7ewXGa6+CnB+w2bqzrr++nntqr6pln2223eXc9HKe5Dr6WD9t++CPDli2tj1VVd99de/ce/X/gmMx78NNjNuvX144dNZnUZFJPP13f+XZVr/LSOzhG87tL/0rTe+9XXlkPPlhVde6G/rOf11VX+3lpODbzPuFf6fOfr3Hsw1CHn2m7dtV0Gw9YubUx4acWF+tt28f7fz9MJnXG6f3Xv2mbL6/unjys2JoZkdMn577whaFqek++3XHHWE3tcAzWzISfLvPI8/WBD/Zf/apNN/AeeKAuv9zpelipNTPhp4dtXnNmfXpHXzilt6Feeqm+9MWx7NXDiq2Z4Gv5R6muecfwznfU4r/7MNTd9wy/v79P334J/E9rKfhp2GedVTfe0E8/o1qrI0f67be7noeVWkvBV9XCQi0u1nveP2zf2peWelX7/g/affc5eAcrssaCnw7z00+rHZ9up5zSzjmnvvLl2rLFD0vDiqyZXfpXmr7Zbteuete76vzzZ70aWDvWZPD/xW05WKE1fB388ieV2mGF1nDwOodjtYaDB46V4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwDXAenYqZQtqwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIzklEQVR4nO3dS6xdVR3H8f/a5xIKVB6VYkLFAIJITcMjaa1DMRoHPkdIVF5RE62JhhnGOPKZGIRBnRhNS0wajUpAExWNDH0EI5WHNMVggYqtgEY6ALx3LwenlxAn3pZbz7n9fT6jppO7Jt/z32fttfdpvfcCMgyzXgDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CDL74MexxnHWi4AMrfc+6zUA/yezn/A//Wnde29V1dLSrJcCJ7uFGf7t3uvaa+uuu2r79n71Ve2159Y41jD7jyA4ac3ykv7FF2vduuk/x9272vU3tHGphsmslgMnv1nO08mkNpw9Dq1aG75xW//nP/owsYEHJ9Asg19YqI99vI29JpN64I91z49bVbU2wxXBSW5ml/S9V2v1+OO1bev43D+GqnrjRUt7H5ysW6d5OFFmNuGnVV90UX1qR5vu1e3/87B7V7VWbhTCCTLLTbulpZpM6rH949uvaQcPtqq6+MLxjw8N69bZq4cTYsabduNYl1w63HRTm17h/+WJYefOGoZaXJzhuuCkNeNJ2nv1Xjfe2C+6sPdeS0u1e3cdOlTD4MIeVt+Mg59MammpLr64XXtd670mk9q3r+68sxvycCLM/iz9OFZr9de/1vbtdfBg9V5XXFH33FMXXFC9+zIPq2n2PQ1DjWNt2lQ33zT2XgsLtXfveNcPe5Wrelhls5/wtXxP/rnn6i2b+6HDraouu6z/8pe1aVNzuh5W0VzENL33vmFD3XJLnw75Rx/tP/qRg3ewyuZiwtfy1fvhw7X9rf3AE60N9bqN40MPtw0bjt6xA169uZjwtTzJzzuvPvPZ1nufDPX039q3viV0WE3zMuGrjj4M/+ST/d3vrkceacNQG187/mnfcNZZvsbD6pijklqrpaW64IJ28801tGqtDv19+PrXaxi8DAdWx3wFX1W913Ufqs2b+zTy7363nnqqWvOcPKyCOQq+lg/enb+pfeSjbTKpYaiDB+ub3zTkYXXM0Xf4qekkP3Kktm6t/fur97rkkvrJj/tlb27Tp+uA4zZfE77q6GMzZ55Zn/xkTe/JP/ZY37Nn3j6XYE2auwlfy/fkX3ihtrxlfPzA0Hu94Q39F/e2S9/ktbbwqsxjPdPdu9NOq1s/N4xjX1ioAwdqz54+fcwGOG7zOOFf9vzztW3buG/fMAx19tnjH/4wTB+hkz0cn3mc8FN9rPXr69ZbW+/jMKlnn207d/Zyuh5ehfmd8NN1/f2Zet97+m9/14ah1p8xPvTw8PrXV8kejsv8TvjpYZvzNtYnPlELC+Mw1L+eH7721dFrbeG4zW/wtdz8e9/Xtm1ti4vVhvre99r+/Q7ewXGa6+CnB+w2bqzrr++nntqr6pln2223eXc9HKe5Dr6WD9t++CPDli2tj1VVd99de/ce/X/gmMx78NNjNuvX144dNZnUZFJPP13f+XZVr/LSOzhG87tL/0rTe+9XXlkPPlhVde6G/rOf11VX+3lpODbzPuFf6fOfr3Hsw1CHn2m7dtV0Gw9YubUx4acWF+tt28f7fz9MJnXG6f3Xv2mbL6/unjys2JoZkdMn577whaFqek++3XHHWE3tcAzWzISfLvPI8/WBD/Zf/apNN/AeeKAuv9zpelipNTPhp4dtXnNmfXpHXzilt6Feeqm+9MWx7NXDiq2Z4Gv5R6muecfwznfU4r/7MNTd9wy/v79P334J/E9rKfhp2GedVTfe0E8/o1qrI0f67be7noeVWkvBV9XCQi0u1nveP2zf2peWelX7/g/affc5eAcrssaCnw7z00+rHZ9up5zSzjmnvvLl2rLFD0vDiqyZXfpXmr7Zbteuete76vzzZ70aWDvWZPD/xW05WKE1fB388ieV2mGF1nDwOodjtYaDB46V4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIfwDXAenYqZQtqwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7be484a185fd08fabd09b9e346afadcffcd63a8ec39e508dae1a80e5e7b69da5"} +{"episode": 14412, "episode_seed": 811084937, "split": "train", "timestamp": "2025-09-15T22:55:20.062264", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 811084937, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "action": "('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "action": "('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALa0lEQVR4nO3dXYgV5QPH8d/MObsbupCWlVi6pJhLIdgGepNGgdgWhEvaG5KJLVisoYJ2ERZ0YeZNZSakiVha9kJgVoZGG2tSglagbAlGS66VkS+rYWbnzHQx89f4X2WdmTn4+37Yi8N6M4z75XlmnmfmBHEcC4CHsOgDAJAfggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgpFz0AQD/L47TD0FQ6HFcjBjhUV/iWEGQ/kRR0Udz0SF41Jcg0Cef6KuvJCnkz7PWOKOoI3GsU6c0a5ZuukkLF+rrr89P71ETXMOjXlQqKpe1Zo1++UVhqOef19ChmjBB1apKpaIP7mJB8KgLcaww1PHj2rBB1aqCQK2tmjWr6MO66DClR12oVBSG2rRJvb0qlRTH6ujQ6NGqVBjea4kRHsWrVlUu69gxbdyYDu+jRmnOnHTYRw1xOlEXgkBbtmj37rTwu+7S2LGqVgm+xjidKFgUqVTSwIDWr5ekONaQIVq8WBKT+dojeBQs2U63Y4c++0zlsuJYDzygUaPSHTiorSBmoRPFSao+fVrt7erpURiqsVG9vWppSTfbobYY4VG8Tz9VT48aGhRF6uzUtdcqDKk9EwSPIiUb5pctk6Q4VnOzOjslsYs+KwSPwkSR4ljbt2vXLoWhKhXNnq1x4xRF3JzPCucVhUmu0lesSGfvw4bp/vvV2MjwniGCRzEqFQWBtm3TF1+kE/v2dk2cmO6oR0YIHgVIloaiSKtX6/ffFccaOlQPPaSGhqKP7GJH8ChAFKlc1vbt2rkznc9PnqzbbmPnfOYIHnlL1t7PnNHGjRoYUBCosTHdWsdqXNYIHnlLHonZu1dbt6pcVhTpllt08808KpMHTjBylQzvZ89q/XqdPJn+8okneLNNTthai1wlf27796utTZIqFU2bpg8+4NI9J4zwyFWy9v7cc+myXKmkxYvTN14gB4zwyE8cK4518KDGj1e1qmpV7e166y01N/NsXE4Y4ZGf5LbcsmU6e1aSGho0d66amxVF1J4TgkdOkqp7e/X++woCVauaMkXTpjGZzxXBIyfJy+pefFHHjklSuawHH1RzM++xyhVnGnmoVNTQoH379OGHkhTHmjhRM2ak77dCbggeOYkibdqkH35QEKhc1pw5GjQoHfaRG+7SI3PJA3AHDmjqVB0+rCjS+PH6/HMNGiTxFbH5YoRHts5tmH3nHR06lH7u6tLgwSzFFYARHtlKXl/T369Jk/Tzz4pjjRmjffvU1ETtBWCER7aSIf311/XjjwpDxbGWLNEll1B7MRjhka041okTuuEGHTkiSaNHa/duXXYZ8/liMMIjQ8lmmzVr9NNPCkNFkRYsSGtHIRjhkaE41sCA2trU1ydJ112nHTs0ciTvpS0MZx1ZSZ6HW7dOfX3p1fvs2brmmvSboVEITjwykazGnTihDRsUx6pWNW6c7rlHErUXiXOPTCQ75F99Vfv3KwwVhuro0JgxDO8F49yj9pId8seOadMmxbGiSCNGaN48xTE75wtG8Ki9ZMltyxbt3ZsWPmOGWlq4V1c87tKjxpKqjx/X9OnpN0APHqxvv9Xw4dRePP4HUGPJdppt29TTo6YmRZEeflgjRtS69uR1WQxXF4jgUWNJ8EeO6Oqr9ccfKpX02GO1bjNZ8Ut+cCGY0iMrBw9q2TKNHavHH0/X4WuQZ7LEVy6ru1u9vXr00fT3lP/PEDwyUa2evyFfy23zyR2Ct9/WokXq79fKlZo/P93BS/P/AFN6ZKJUUhSpUqld7cm3xoehnn5as2erv1/Dh6ulRRK1/3OM8MhWzWbyQaCBAc2fr9dek6S2Nq1dq7Y2hvcLQvCoe1GkONY332jePO3aJUkdHVq7VpdfzkO2F4rgUd+SpL//XpMn6/BhNTVpwQItX37+n3AhuIZHvUo25SYfLr1UEydq2DCtXavly9NVPmq/cIzwqEt/7zn5fOSI+vo0aVL6XA61/yuM8KgzycAeBDpwQLffru5uBYGiSFddldZeKlH7v1Yu+gCAv0mW2YNAH32kRx5RX58OH9bOnRoyJL11x9N2/w0jPOpGMlePIr30kqZPV1+frrhCXV0aMkSSwpDa/ztGeNSH5Bn648f15JNatUqSrr9eq1bp1lvTXfhM42uBm3aoA8kf4f79WrRIH38sSe3teuEFjR2rSoWL9hpiSo9CnVt7O3NGzzyT1r5wod54I629XKb2GmJKj+Kcu0VXraqpSZ2d2rtX8+erq0tS+lQcaoopPQqSjN5Hj6qpSc3N6S9/+y39zL6abDClRxGS2r/7TjNnqrNTJ09KUhyfL5/as0HwyF0UqVxWT486OtTdrc2btWdP0cfkguCRo+T6MQy1bp1mzky/NXrlSt14I3P4fHBTBDlKNskuWaKVK/Xnn2pp0erVuuOOog/LCMEjF8n2+P5+dXXpvfckacoUvfyyWlt5GCZPTOmRseS1k9WqgkA9PWntc+dq61a1tqYb7Kg9LyzLIRfntscuXarGRi1dmv6S1PNF8MhMsq+mUlF3t6ZOTZuvVNTQwIvoisKUHhlIpvFhqF9/1b336u679eabCgLFsRoa0uk9tReB4JGBIFCppC+/VHu73n1Xp05pxw7pf98PxUV7cQgetRbHOn1amzfrzju1Z48GDdJTT+mVVySReuG4hkdNJffhDh1Sa6tOn9bIkVqxQvfdx0V7nSB41FpyAf/ss9qyRWvWaMIEnmmvHwSPbFSrOnpUV17Jvpq6QvDI0t+/UxJ1gOCRDV5EV5fYS49skHpdYlkOMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+QvgvA66NRHOXwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "action": "('move', [1.5255596437756722, -10.359320399350292, -12.605315965943154])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "677787241d774b26f220bb4a893bfbbb578f19b1869b904fd5b1f860ce0a5cfe"} +{"episode": 14413, "episode_seed": 463683079, "split": "train", "timestamp": "2025-09-15T22:55:20.687820", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 463683079, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "action": "('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALBUlEQVR4nO3dS2wVZQPG8WfOhQoEIQIFopCioQFMQRoDIUBBCCQYLGANUbvSEBNZKIkb98SFGxM2stG4UBQjBgI04ZKApXhBKbGWmkjEBokWFhJJufRy5oyLGSmXhs/v+5gzps//tyJD6Rma/s/7zsw7c4IoigTAQy7rHQBQOQQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPdEVR1nuAWxA80hUEEtn/axA8UhFFiiJdu6bOTm3bprVr1dEhSeVy1nvmrZD1DmBkCkMVCjpxQo2NGhiQpBUrNH++wlA5Rpns8LNHKnI5RZHq6zVrlnI5BYGOH9fgYLIdWSF4pCKXUxhq8mTV16tcVhTphx905ozyeWb1WSJ4pCUIFEVav15VVQoC/f672tokDuMzRfBISzyTX7tWkyYl5/Da2tTXp2KRWX1mCB5pCQKVyxozRitXKggUBGpr09mzEoN8dggeKYovwj//vKJIhYIuXdKpU0PbUXkEjxTFYS9dqupqhaEkHTyovj7O1WeG4JG6cePU2KhyWfm8DhzQpUtZ75Axgke6okhBoKYmScrndeOGjh9PNqLyCB7piqfudXWaMSNZcrdrF7VnhuCRrvhqfHW1nnlGQaBcTseO6eLFrHfLFcEjXfHFuWJRy5cno/2NGzpwQOLiXBYIHqmLJ/ALFmjWrCTyzz6TuGc2CwSP1AWBwlCPPqqGhmRLR4d+/VW5HIN8pRG8gVJJpVKG42k8q8/ltHSpCgVJunxZ+/cnbwSoJIIf6eI1bnFng4MKw0zKz+claeVKPfZYsiOHDyuKWIFTaQQ/0gWBPv1Uhw9LUrGYlBffsFpBuZxKJc2YoXnzki1dXfr5Z+6WrTSCH7niks6e1dat2rRJTz2lN97QkSPJwHrHpfCK9B9FWrNGo0ZJ0vnzOnp0aDdRGQQ/csUlnTunMNSVK2pt1TvvaMMGzZ6tV17RwYO6fn3oi+Pj7DQn/Pm8gkCNjZo4UZJKJX35ZXLAway+YoKIH/YIFt+G3turo0e1Z4/a2tTTo/7+5G+3b9drr6lUUqGg/n5VVSXbSyXp70DvqzBUPq/167V/vyTV1KilRXPmJKf0UAEE76S/X0eO6NAhffut/vxTe/dqzpzkHeH117V4sRYsUG2txo9Pvn5gQMXifcw+Dvvjj9XcrHxeYaiPPlJzc/JGgAogeA/xUH9zGL16VV1dWrQoSXDHDm3ZIkkTJmjJEi1apIULtXixHnwwjX25fFkzZ+rqVZXLevllvfvu0NwCaSN4J1GkcjlZ6XpzS/xA2ffe05EjQ2vcx4/X449r/nxt3ara2jvn3PHvzP8x8j/3nD7/XEGgSZPU3q7p05nVVwjBW4rLv3Ua3dennh51dqqlRS0t+u03SaqqUmtrMhEolXTliiZPvvOb3H3C/z+9sqTdu7Vpk4pFDQ5qzx5t2MANsxVC8NBttUWRrl9Xe7vef19VVdq+XaNHS9KBA3rhBa1ercZGLV+u6mqNHfs/v9SFC5o3T1euKIrU3KwPP6T2CiF4SPr7ID9+1uSw3nxTb7+d/HnUKK1apaef1sKFqqnR5MnJv4ov7OXz95idxy/S36/Nm7Vzp4JA48bpl1/00EP3/b+EYRA8hnN3/6dP69Ahtbfr9Gl1dycbCwWtWaMPPlB19W3ThFIpufd9uLePW8/VFwoqlbR7t559VuLhlunjs+UwnLuH+vp61ddLUkeHOjr01Vf64gv99JN6epIHzQeBTp3SyZNqatLUqff43vEQ88QTmjZNPT0KAn3yiZqaVC4TfOoY4fHPxOftbl6WD0NduKDvv9fEiVq2LPmaLVu0Y4dqazV7ttau1bp1euSRu0/Hxb9xpZJeekk7d0rStGnq6tKECRKDfMq4EoJ/JpdLFsGHoUol5fOqqdGGDVq2LCm4t1eXL2vsWJ09q3379OqrmjtXb72VPOPqlnElCJK3jiVLkpnEH3+opUViXX36CB7/jSBQPp8sf795y108KI8bp1279PXX2rZNy5dr+nT19g6tm7994I5P6jU0qKZGUaSBAe3bl7wzIFVM6ZGOzk6dPKlVqzRz5rCrauJtGzdq715Jqq1Va6umTuWCfLoY4XFfRVEy56+r0+bNmjlT0rBX6eI7dBoakmdznD+vQ4eGtiMlBI/76uacPww1OHiPg/K483XrNGmSJPX368QJSTwDJ10Ej3Tk8yoW77ECJ5dTGGrWLM2dm2z55ht1dyufJ/gUETwyEx+rb9yYLNI5cyb5bFnO1aeH4JGZm8GPGZNsOXEiueSHlBA8MhMH//DDWrgwGdVbWnTxYvK4LaSB4JGleEnOiy9KUrGoc+f0448S6+1SQ/DIWBBo9WqNGpWM6vv3cyk+RQSP7E2ZojVrkkdytLTo2jWJT55LB8EjS/Fy2gceSB56E4bq7taxY1nv1sjF7bHIWDywP/mkRo/WlClasYKHYaSItfTIWHzEfu2avvtOEyeqri7rHRrRCB7/LvE9eFyKTwlTevxbxB8dncvxvOoUMcIDRngvBYwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjfwGQSr1Fov31AwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "action": "('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "action": "('move', [-1.463545702554408, -0.1616898676530952, 27.278561927382516])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKtUlEQVR4nO3dfYhVdR7H8c85987cUUPDGFnqn1pGQyPyITSNMrFChMo0I4UeaVpxRdO01CVtpQxtNQZEyc2NjexBaUpQykTLotrV1XSnaC1RSnR6dAt1nOvce87+cc6OZqNbrt55+Lxff8m59w53wPf5nfM9594J4jgWAA9ha78BAKVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjB45TiWHHc2m8CZxXBo2VxrCBQECiKWvut4OwheLQgihQEamjQ998rDGm+4yB4nCyOFYYqFjVtmsaO1YEDNN9xEDxa0NCgqVP1zDN6+23deqv27VMYcj7fERA8ThYEOnRItbWSVF6uLVs0apS+/JLz+Y6A4HGyOFZlpdas0SWX6Ngx5XLavl233KK9exWGKhRa+/3h/0DwOFkQSNKAAVq9WlVVyueVy2nHDo0erd27lc2qWGztt4gzRfBoQTK0GzBAq1apVy/l8yov144duu027dqlTIZj+/YqiBnF4BSKRWUy+vhj3X67Pv1UZWVqalKfPlq9Wn36pBfq0b4QPE4naX7XLo0dq7q6tPmqKtXW6vLLab794ZAep5PJqFDQpZfq1VfVt6+ampTLafdujRqljz5SEHA+384QvIFCQYXCGV9Gz2ZVKKhnT61apSuvVD6vigrt2aMxY7R1a7pH4DCxvSD4ji6Olc0qm5WkpiYVi2dQZzKZ79lTL72kq65SY6NyOe3dqzvu0IcfMrdvTwi+owsCvfKK3npLksrKlMlIUhT92uwzGRWLqqrSypUaMkT5vMrKtGePxo/X++8rm2Vu3z4wtOu4okhhqM8+09ChOnpUfftqwACNGKHhwxX+bEf/y+ZvyQzvwAGNH6/Nm9MZ3oUX6sUXNXQoM7x2gOA7rkJB2azeeEN3361vv003du6siy7Sdddp9Ghde606dz7+/GTZD8PTV5s0X1+vO+/Uxo3K5ZTPq0cPrVyp669PH0WbRfAdWvIVFocOadMmvfaa3ntP9fXK59NHa2o0eXK6X0jup0skd89mMqcqP3nF11/rnnv05puqqFBjoyor9fzzGjFCTU3KZlnq2yiCd5LPa8MGrV+vLVv0ww96/XX17p3uEaZM0eDB6tdPvXqpW7f0+ceOqaysxXaTlfybb3TffVq37njzK1boppvSPQLaIIL3kCz1zafuhw/rk080aFB6nr9smSZOlKTzz9fVV2vQIA0cqMGD1bXraX5k8tLvvtP992vNmvR8vrJSy5dr1Kj0UbQ1BO8kjhVFiiKVlR3fEgR69109+6w2bNBXX6Xbu3XTZZfpiiv04IPq1evkfJP/M0GQbD54UNXVqq1Nr9h3767lyzVmDDO8tojgLSXlnzhea2xUfb3q6rRundat0/79kpTLafPm9ECgUNCPP6qy8ic/JI6iOAwzwaFDeuABvfxyus6fd56WL9e4cSoW/+cQECVF8PjpNbk4VkODtm3TihXK5VRTo06dJGntWo0bpxtu0M03a+hQ9eihLl2SVyTr/JEjmjBBL7yQzu27dNHSpbrrLmZ4bQvBQ9J/T/KT76lt0cyZWrAg/Xd5uYYP18iRGjhQF1+sysooDsJQDYejib8r/vXFTEVF2Niozp21ZInuvZfm2xCCR0t+3v/27Vq/Xtu2aft27d2bbsxmdeONeu459egRFeMwExyVJlXrL88WyrNhUzGsqFBNjaqrVSic5jIfSoeLJ2jJz5f6/v3Vv78k7dypnTv1wQd65x3t2qX6epWVKY7DTBBt/UenLX9fMndMpvtv/rxQmTA+ejSYPEXFoiZM4AM2bQIrPH6ZZG7XfFm+WNS+fdqxQxdcoGuuSZ8zcWK8bFnQu+exS3pP3f/I0p1Dkjvwy8u1aJEmTWqe7rfaLwGCx6+RjPeTT+CduDH5ptvqaq1dGx05EkpRkJkW/6lGvy8Pw2NRJgz11FOaNo25fSsjeJyRUw356uq0Zk20YWP4+b/ig/+e/tvaxZ+PzKmQL2SDQAsWaMYMzudbE8HjnIj+WRdu+ZuuG/bIC1UL/xiVl4dNTYpjzZ+vWbO497bVEDzOqhOO+WMplsJYs/+gJ59UJpM+OG+eHn2Ue29bB8Hj3CgWFUdxmIkVBoHmzNHjj6eFR5HmztVjj0m/9GP4OGsIHudW82R+3jzNnXt8nZ89W088wdy+1DiowrkVBGnVc+akhYehwlDz52vmzPTvUrPolAwrPEqheSVfuFAzZ6bfkBfHevhhzZqlrl05ny8RgkeJNH9Cb9EiTZ+ervOFgjZt0rBhnMyXCPtVlEgQpH+y7qGHVFOT3rk3Y4b69UsP7FECrPAoqeav3lm8WF98oaef5mC+pAgepXbS0TsH86XE3hWlRu2tiODRmqi9xAgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8Ay+Ptmg5WXj8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "61673d35329f21bc30600bfd152b3736f7d0df481cf73332d63cb1c1af34dfc5"} +{"episode": 14414, "episode_seed": 1159326678, "split": "train", "timestamp": "2025-09-15T22:55:21.315977", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1159326678, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "action": "('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "action": "('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "action": "('move', [11.495077542992073, -33.77827088929869, 13.763259227185472])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALaElEQVR4nO3dXYgV9R/H8c/MOa6P8U+tfCAlCTVJc8k0E9JEetSUyPJCIggMorCiu4gICrqpqyQyiKIICaSCUugipVKL1Fyf0lKzIHzY0jRxl3XPmflf/IZdtXzq7Hpmzuf9upA4Vz+ht9/fzPzOnChNUwHwENd7AQAuH4IHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIH/qM0VZLUexGXiOCB/yiKFMfq7FSa1nspF61c7wUAhZSmOn5caarBg+u9lEvBhAcuWaWiKNJbb+mBB/T222pvl1SMOR+lhVgmkBtJoijSr7/qvvu0e7eiSA89pBUrFEWSsj9ziwkPXJoQ/Icf6qef1Lev0lTXXac4zj7POSY8cAmSRHGsn3/W3Lnat09RpNGjtX27Bg1SmhYgeCY8cAmiSNWqVqzQ3r0ql5Ukeu65wtQuJjxw8ULV+/dr+nQdOaIk0fXXq6VFAwfWe2UXjQkPXKwww998U62timOlqV58UQMHFuP+fMCEBy5KGO+//KJJk9TRoWpV06dr1arsOXwh9vNiwgMXKUzGV15RW5viWKWSli7VkCHFuDnfheCBC6tWFUXaskUrV2bHae+4Q3fdpTRVXKiGCrVYoH6iSK+/rhMnFEXq31+PPaahQ7N/CAqE4IELqFRUKunrr/XZZ4rj7Op9wYLs82IheOB8wqa9WtXy5fr7b6Wp+vXTU09lj+KKNd7FXXrg/KpVlUpas0b33qtKRUmi2bO1Zk32eeEw4YFzSlOVSjp1SsuW6dQpxbHiWC+9JKlg9+q6FHPVwGW0fr0++USlkioVzZunmTOlAm7mA7b0wPmkqebM0dq1KpUURdqwQbfcIhU2eCY88O/CKFy1SmvXqlxWtarFizVliqKoqLWLCQ+cSzhCN22aNm1SHGvAAK1Zo6lTi3q7LmDCA/+iUlEc6/331dKSvdxi8WJNnVq8o3VnKfLagd4Rvidz/LiWLVOlIklXXaXHH5dUsJPz/0TwwNnCpn3FCm3fno33hQt1883F3swHBA+cIUlUKunQIb33njo6JGnoUD37bJG+9H4eBA+cIeznP/1UGzeqTx8liR55ROPGZf8QFB136YFuoYZDh3TPPdq2TXGsK6/Ujh0aPlwq7LP30zHhgbN9/LG2bVNTk5JEzzyjESOK/ez9dEx4IBM280eOqLlZBw5I0siR2rRJw4YV5qW0F8SEB86wfLl+/12lUvYK6muuaZzaxYQHgtBBa6smTcpeQT1xolav1qhR2Y9PNIZG+XsAtQknal57TX/8kX0NdskSjRqlarVxahfBA1JW9b59+uADxbEqFTU3a+HChtrMBwQPSFIU6Y03dPiwJDU16dFHNXJko413cQ0PhAOzW7fq7rvV2qo01eTJ+uorDRqkOGbCAw2k69tv77yjw4cVRYpjPf20/ve/xnn2fjomPKyFO/BbtmjWLJ08qTRVc7N++KEBr94DJjyshd+EXLZMJ05k/x3eUdmomPDwFf7fb2nRrbcqSVStauZMffmlymUmPNBwwlX6yy+rszP75PnnG7l2ETxsJYkkrVunzz9XqaRqVfffr1mz6r2sXkbwMBX286++mr3EqqlJTz6pfv1UqTTseBfBw1P4HciVK7V6dTbeFyzQnDkN8paL8yB4OAozvH9/zZ6dvaD2iSdULhf+HZUXxF16mAp35tra9O67+usvvfBCQ30r7lwIHr663kLbFUFjj3cRPMylqapVlcv1XsflQvBAbz54D3cFcrNzaPRLFuAi9GKP4YcswkP/HCB4oNdUKjpwQKVSfm4G5mUdQEMJI333bs2fr3nztHVr94d1ZXOzAricwiO+9eu1ebMGDFC/fvVeUIYJD/SCcC98wwbFsSZP1vjxOXldVv1XADSaNFWppI4O7dypJNG0afVeUDeCB3pa2M/v2KEDBxRFmjFDysuZHoIHelq4OdfSotZWNTXp9tsl5WE/L4IHektLi9JUkyZpxIh6L6UbwQM9Kk3Vp49OnNCuXUoS3XZbvRd0Bh7LAb0girRokeJYc+fWeyln4Cw9YIQtPdA7KhV1dipnA5UtPdDTKpXsSj5/mPBAzwkP5H77TZMna+pU7dzZ/WE+MOGBnrZ/v3btUrms9nZJudrVM+GBnhNO12zcqCjS9Om69lopL2fsAoIHelRHh779Vmmqm27S1Vfn7c2YOVoKUGxh697Wpm++kaSJE7NX3ucJwQM96scfdeyYhgzRDTdI+drPi+CBHrZhg/r00dixmjBByst3ZrrkazVA4a1cqc5OjR6t4cNz+Dt1PJYDekhoe8kS3XijZs3KLulzFjxn6YGe0/WC+1On1NRU79X8C4IHelQv/qhFD+AaHug5R46orU3K1+m60xE8ULNwWv7PP/Xgg3r4YX33naIon80TPFCz0PaWLfr+e61eraNHuz/MGYIHahaO023erPZ2DRumOXOk3D2BD/K4JqBI0jRre/t2SWpuVt+++RzvInigVmmqclkHD2rPHkVR9xP4XCJ4oDZdvxu5Z4/SVDNn8lgOaFxhnu/dq2PHNHhwdoQ+rwgeqEHYz3d2at06SZoxQwMHSrk7UduFs/RADULYcaxFi9TerjvvzOeJ2i4crQVqFo7TdnYqjlUq1Xs150PwgBGu4YHaJIlaW/P2KqtzIXjgvwq745MntXSpFi7U2rVSvt5C/0/ctANqc/SoPvpIkubPl5S319SeJb8rA/Iu3KLfvFmSxozRlCndH+YVwQO1Wb9eUaSxYzVmTM7ffiGCB2qSpvriC0WRJkzQFVfk8K2VZyF4oAYnTyqKlCQaPz77JN/B8xweqEGlov37dfCgxo3T8OH539ITPGCELT1QmyRRtZrn78CfjgkPGGHCA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5P8y1d/hp6CMfAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIPElEQVR4nO3dXW8c5R3G4f/MrgkBtbxETWgpoUJyaJ2iGNI2wjWEfhq+D58kx1VRIRil5SVEEZCQKkQqkAQ4KKCgWnF2pgfjQEAtreylO/i+riNrT/yc/PS8zOyzTd/3BWRoFz0A4P9H8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8PA96vtFj+CbBA/fo6apvq9bt8ZSvuDh+7K1VTduVNPUdFpNs+jRVFXVdNEDgD2o66pta2OjXnihjh2r48drba0OHKi+X3D5gof5G4L/0x+7U6eaU6ea/fvrxRfr6aer62oyWeTABA9z9tV2/Y03m8mkads6frxWVqpq8Qt7e3iYs76v6bSuXa8PPmhms9ra6h893N13X21tVbvo4Bb9/2HP6bqqqrfe7K9eq6pqmzr+5GJH9DXBw5zdDr77/POuqh58sDmx1lYtfnove3iYu8mkuq7evrB9Onf/A/3qatP3owh+BEOAPWQ4h796tS5d2v5k5Uh3zz3VdYs/sSvBw3wN6/n3LnYX3u2qqmnqmT+0C3/8/hVLepi/9y41/9ysyaTatk6ebEZSe5nhYY6GB3KzWZ0711Q1XVcP3N+trlaN4An8QPAwZ598Uq+/XlXV9/X0WrO0tOgB3UHwMDfDO3Yff1zvvrv9Cu2zz45jZr9N8DA3w7r97bfr5s2vgq8a07fiBQ9z0zQ1m9XGRlXVzZv10KHuF48uekzfJHiYp83NevnPs2qqqtZ+3/7ox4se0DcJHubj9ga+v3ipWZpW09T6eu3bt/jvwN9J8DBPZ840TdP2ffX9bPVYX7dfxRkJwcM8vfxSP1xid/iR5pGfV43mCfxA8DBPp1+aDX/85rftTx9uSvCw9wwb9fffr4+uT5umqvrVY/2999ZsJnjYc4YTu42N2tysqlpa6o/+qquRbeBL8DAXs1lV1enT/XAF/eHD7ZGVSY3j0os7jWw48APU99vv1Z0/v718X16uI8s1kksv7jSy4cAP0HAp9cWLdf369iePP1533VVbW+PawJfgYff6vvq+Xvtr/+mnVVX79tVTT41xei/Bw+4NR/Rn3+g2N7uqOnioTpyophlj8G68gV3puppOa3OzLv5tuLWyP/STWl5uhnX+2IxvRPCDMkzvly/X5cvDB83qsa5tt8/tx0bwsCvDk/YL73RXrnRVNZ3WMycnVQv+Dbn/xJIedmU4h3/nQjubVdvW/rtrff3rz8fGDA87N9xa+eWXdf58VVXX1cMPzR57rErwsPcM6/mrH/VvvLZ9i9UzzzU1pjutvkXwsFsfflh//7CfTquqTj436qZGPTgYueFk7q1zTTVt01RVt7a24CF9N8HDDg3r9s3NevXVqr62turo0fbgwaqxbuBL8LBLN27UmTPbha+v1/79ix7QdxI87MqVK3XtWg0/L7O+Xm073hO7Ejzs2DCrn35l+zr6u6bdr4/2NeIj+hI87NLpl7q+r9msVo42hw6N7hK7bxE87NzWVv3lTF9VTVO/O9EcPLToAf03goedGNbtZ8/WPz6ftG31fffkaj+Z1K1bZnjYc4bgXznd37pVXVd3311Hlhc9pv+B4GEnhpdqN17ZPqBbWWmXfzn2DXwJHnZguLXyiy/q7LlmmOqPHKmHf1bDF+bGbNyjg7Fqmur7ev75Zm2tlpbqiSdquPRi5DN804/5oSGMXtfVZ59V39eBA+P6odh/S/AQxJIegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwLEER9owgblrEAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "284addc3e6c8fb3ed21faa17f7858e3f7c1f643462de6ee01eeeb2f69232e8ec"} +{"episode": 14415, "episode_seed": 1998606669, "split": "train", "timestamp": "2025-09-15T22:55:22.303704", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1998606669, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "action": "('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "action": "('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "action": "('move', [-86.70313723806326, -44.84356615753976, 49.95816336722411])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "039f24ffa0a25a3c842b52f6e2570aaa62401311b0c059f5a24a8a645276a243"} +{"episode": 14416, "episode_seed": 2992264528, "split": "train", "timestamp": "2025-09-15T22:55:22.931433", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2992264528, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "action": "('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfElEQVR4nO3dW4heV8HG8WfemUmi1lO0By8i9VBRpL3QUpHWNCimeAATItSmIopeNAlWL2LTGlBBg4SiEMUEGiI2F9oa2yZapShahViUSrWRKsWCaGxEiVKDSELm4MX7dtJ+VpuvX/jeic/vdxnmYrHZ/6y11157ZmJ+fj5Ah8G4BwD8/xE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBH8+M3PZ35+3IOgg+DHbH4+ExOZmMjc3LiHQgHBj9Ow9mPHMjubwSAzM+MeEP/tBD828/OZnc3x4/nwh7NhQ44cydRUTp4c97D4rzY17gH0mp/P1FT27Mntt+fEiRw6lG3b8pa3ZG5utMiHM25i3n7ROMzNZTDI736XlSvz+99n2bIcP57ly7NlS2644dQPwJnlnhqPwSCzsznvvOzcmVe8IsePZ3o6f/1rtmzJmjU5fHhUu508ziwz/Pj98Y/ZtCl33ZUkU1OZmcmKFdm1K+94R5LMzGTKgxdniBl+zObn85KX5M47s317zj03MzOZns7hw3nnO7N1a/7yFzt5nEnjnuGHL6bqDZ/Yf/Sj3HhjfvKTTE5mfj5zc3nzm7N9ey691E4eZ8a4Z/jhLVz/WDExkZmZXHll7rwzGzdmdjZzc1myJD/4Qdauze7dGQwyMeE68X+1aGZ4U/3jj+tzc7n99lx/fY4eHT3ST03l2muzY0ee//xR8/WXimdoEczwx47lkUccLk1GtQ8Gueaa/PjHufLK0dm7+fncemsuvzwHD44W9rOz4x4rZ6dxB3/0aN73vlxxRR54IIOB5geD0bc0r3pVvve93HRTzjkns7NZujQPPZS3vjU335x//COTk87h8kyMb0k/XMP/8pdZuTKPPZZLL80992T58sSCNXnCI86BA/n4x/OrX42W90nWrctnPpNXvzqzs5mcHO8wOcuMb4Yf7kFdfHF2786znpWf/SwbNoxtMIvPsPaZmbzrXTlwIOvXj2qfns4dd2TNmnz966Pa7eRx+sa9pJ+Zybp12bw5Sfbtyyc/aTP6iYaz+itfmS9/OV/4QpYty8mTmZ7Oww/n/e/P5s05cWK0++GacTrGvUu/8NB+7bW57bYsW5Y9e7J+vdXqEy1cjJ/+NBs35oEHRtt7c3O5/PLs3JlLLkkcv+c0jPsGGd6hg0G++MVcdlmOH8/HPpZ7783kpJ3oBQvncN7whtx7b667bjSrT0+PNvP37PFFPadl3MEno835F784t9ySF70oR47kwQcTz6ZPMjEx2sB/3vOya1duuSUXXjha3j/2WD70oVx3XQ4fdg6XpzHuJf2C4a70N7+ZP/whGzeO3k05TfovhlP95GQefDBbt+bb387ExOgt3etel89+NqtXj37MleNfLZrg82+eQd25T2V4/O7YsXzuc9m2bfSi/sSJvPCF2bw5N900WvP7D5P/YTEFnyd//71/fyYmsnatzaintLCT993vZtOmPPLIqRf1b397du3KS1+a2MnjyRbZvTD8vRCDQfbuzbp1+cAH8vOfO4H3lIY7eUlWr87Bg3n3u0e7nJOT+c538sY35sCBJHbyeJJFFnweP1z68pfn/PPzt7/lve/No49q/iktfHZ0/vnZty+f/3zOOy+zs1myJEeOZM2a3HCDL+p5kkW2pB8aLkPvuitXX52TJ7NmTfbuzbOfPdqq5l8MtzgHgxw8mC1bct99p97krVqV7dtz2WXW9iSLcYbP4wv7tWvz6U8nybe+lZtvzuSkQ3j/znBz7uTJXHFF7rgjH/nI6Iv66en88IdZuzY7d45qd/3KLcoZfmi4hv/gB/OVr2Tp0tx6a66+2qb9fzbcvZ+fz7592bQpR49mejonT2YwyPr12bEjy5f7or7a4g5+MMif/5y1a3PffVm6NPffn4sv1vx/trB0/81vsmFDvv/9Uy/qX/Oa7NyZVavGPELGaFEu6YcWfpPzl76UFSvy+tdnenrcYzoLLPx+64suyj335BOfyHOek5mZLFmSX/86q1dn+/b86U/2QEst4hl+aDif339/Lrww5557anuKp7OwErr77mzdmkOHTn1y89Wv5pprxj0+xmHRB58nLFIXbuHhoRNr+6cz/PN1U1P57W/zqU9l794kWbUqX/taLrjA9Wt0NkyVw7X97GwmJvLww1m5Mnv2JPE53dOamBgdv3vZy7J7d3bsyEUXZdu2XHDB6OAtbc6GGX7B7Gze85584xtZvjz79+dNb/JnWU7TwiLp2LGcc44z9r3OnuCHC9CHHspVV+XRR3PJJbn77qxYYWF6mlwncnYs6YeGp25e+9rs3p0XvCCHDuX66/P3v7uLT5PrRM6m4IdmZvK2t+XGGzM5mf37c9ttib+xCqfrrHoAXjhB8tGP5he/yHOfm6uuGv07cBrOnmf4BcOH0ePHs2SJF/Lwv3IWBh9/kQ6eobMzeOAZsSSGIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8EqUm1MyB0gokAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "action": "('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "action": "('move', [-5.845802987827294, -0.14984001673409428, 54.91483698839587])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHx0lEQVR4nO3cu6+lVR3H4d/a73uGSSjIFCIqBRT8ARgroomCRhIHRiQZgiKFCCIjwthQTUhQExNySGhAIyPhZoCx8RoSBbxWXgq8ddCTGI9mgANn73dZ7MEYGw/MDHsfv8/T7mKv5pPf2ut912699wIyzFa9AOCdI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsuLge1/t90OWFQffmubhnbPK4HuvkydX+P0QZ5XBv/Za3XVXr6ppWuEqIMgqgx+GevDBtrlZs1ktFitcCKRofXW/oefzOvfc6r1OnKhDh2o+r3Fc1Vogwion/DTVxkbt7NTRo/2FF2oczXk4u1Z8Sv/KK30c66WX2p139q2tms0c2sNZtOLf8Jdddmon//zz9ZU7Fq05wIOzaGXB917DUMePt4su6vN5jWN7+NF27zemYTDk4WxZ5aHdYlHDUD/4fj98uL++M5vNamPoTz5Zn7ymLeY1OMCDM23FW/r5vK4+1L52T68+jUO9/kY7erT98Y81OMCDs2CVE77efJe+tbrl5unbD7X9+9v2dv/QB+uHP2rnnVfTVDO3e+DMWXHw9WbzW1t19VX169/UuFHznX7DZ+o7D7fWahiqtdUuEP5/rH6ALns+cKCOH+/ve88036lxbI8/0TY3axwd4MGZtPoJv7TcvT/zTD94VZvmNRtqY6NOnKiDB23s4YxZl5KWr9NfeWW7b7N6VWu1vV033TT99S81m3k4D2fGugRfdeo1u9tvryO31Xxe+/fXyy+3Gz87/+c/uubhjFij4Jd/htF73X13/8iH+/Z2jWP73R/GL9w8vfpKTZPf83C61ij4qprNqnq96/z2wAN14XsX80WNYz31veH++08d4GkeTse6HNr9p+UbeD/7aT/4iWlnMQxDnXNOf+K7dfVVrXdP6eDtW68JvzQMtVjURz/WNu+bTVNNU5082T534/TnP3W3a+B0rGPwVbW8QnPkS+3IbX2xqH376m9bww2fnlyhhdOxjlv6pWmq1mprq19zqP/iV23caPOdOny4HnmkxtEbePB2rOmErzr1+P3AgfbQ8XbxxX0+r42NevrpuvfeGkeH9vB2rO+EX1oe4D37bF17bZ08WbNZbWz0xx+raz7Vlh8Bu7e+E35pGGpnp664ou65pxaLmqZ69dV2y+f77387DUNNrtDCW7HuE35p+Tr9F2+tb36r79vX3nijPvD+6cc/mZ3/7vKgDnZvbwS/9Pp2Xfnxxc9/OdsY2868rjvcH3/i1BVaYDfWfUv/b73XOfvr0ceGSy7pO/Max3rq6fr6V6dh8GQedmsvTfjlxv655+q6w/3vW202qz71Rx9r119fDvBgN/bMhK+q1mpnpy6/vI4d64tFn6aaL9qxY/Xii67Qwq7sseDHsebzuv3LsyO31WJRF1xQm5t14YXVuz/JgP9tL23pl5bH8tvbdccddeutdemlq14Q7B17L/j/4rEc7N4e3gfP52qHt2bPT3hg9/bwhAfeKsFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8B7OekYJsr1gkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHx0lEQVR4nO3cu6+lVR3H4d/a73uGSSjIFCIqBRT8ARgroomCRhIHRiQZgiKFCCIjwthQTUhQExNySGhAIyPhZoCx8RoSBbxWXgq8ddCTGI9mgANn73dZ7MEYGw/MDHsfv8/T7mKv5pPf2ut912699wIyzFa9AOCdI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsuLge1/t90OWFQffmubhnbPK4HuvkydX+P0QZ5XBv/Za3XVXr6ppWuEqIMgqgx+GevDBtrlZs1ktFitcCKRofXW/oefzOvfc6r1OnKhDh2o+r3Fc1Vogwion/DTVxkbt7NTRo/2FF2oczXk4u1Z8Sv/KK30c66WX2p139q2tms0c2sNZtOLf8Jdddmon//zz9ZU7Fq05wIOzaGXB917DUMePt4su6vN5jWN7+NF27zemYTDk4WxZ5aHdYlHDUD/4fj98uL++M5vNamPoTz5Zn7ymLeY1OMCDM23FW/r5vK4+1L52T68+jUO9/kY7erT98Y81OMCDs2CVE77efJe+tbrl5unbD7X9+9v2dv/QB+uHP2rnnVfTVDO3e+DMWXHw9WbzW1t19VX169/UuFHznX7DZ+o7D7fWahiqtdUuEP5/rH6ALns+cKCOH+/ve88036lxbI8/0TY3axwd4MGZtPoJv7TcvT/zTD94VZvmNRtqY6NOnKiDB23s4YxZl5KWr9NfeWW7b7N6VWu1vV033TT99S81m3k4D2fGugRfdeo1u9tvryO31Xxe+/fXyy+3Gz87/+c/uubhjFij4Jd/htF73X13/8iH+/Z2jWP73R/GL9w8vfpKTZPf83C61ij4qprNqnq96/z2wAN14XsX80WNYz31veH++08d4GkeTse6HNr9p+UbeD/7aT/4iWlnMQxDnXNOf+K7dfVVrXdP6eDtW68JvzQMtVjURz/WNu+bTVNNU5082T534/TnP3W3a+B0rGPwVbW8QnPkS+3IbX2xqH376m9bww2fnlyhhdOxjlv6pWmq1mprq19zqP/iV23caPOdOny4HnmkxtEbePB2rOmErzr1+P3AgfbQ8XbxxX0+r42NevrpuvfeGkeH9vB2rO+EX1oe4D37bF17bZ08WbNZbWz0xx+raz7Vlh8Bu7e+E35pGGpnp664ou65pxaLmqZ69dV2y+f77387DUNNrtDCW7HuE35p+Tr9F2+tb36r79vX3nijPvD+6cc/mZ3/7vKgDnZvbwS/9Pp2Xfnxxc9/OdsY2868rjvcH3/i1BVaYDfWfUv/b73XOfvr0ceGSy7pO/Max3rq6fr6V6dh8GQedmsvTfjlxv655+q6w/3vW202qz71Rx9r119fDvBgN/bMhK+q1mpnpy6/vI4d64tFn6aaL9qxY/Xii67Qwq7sseDHsebzuv3LsyO31WJRF1xQm5t14YXVuz/JgP9tL23pl5bH8tvbdccddeutdemlq14Q7B17L/j/4rEc7N4e3gfP52qHt2bPT3hg9/bwhAfeKsFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8B7OekYJsr1gkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHx0lEQVR4nO3cu6+lVR3H4d/a73uGSSjIFCIqBRT8ARgroomCRhIHRiQZgiKFCCIjwthQTUhQExNySGhAIyPhZoCx8RoSBbxWXgq8ddCTGI9mgANn73dZ7MEYGw/MDHsfv8/T7mKv5pPf2ut912699wIyzFa9AOCdI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsuLge1/t90OWFQffmubhnbPK4HuvkydX+P0QZ5XBv/Za3XVXr6ppWuEqIMgqgx+GevDBtrlZs1ktFitcCKRofXW/oefzOvfc6r1OnKhDh2o+r3Fc1Vogwion/DTVxkbt7NTRo/2FF2oczXk4u1Z8Sv/KK30c66WX2p139q2tms0c2sNZtOLf8Jdddmon//zz9ZU7Fq05wIOzaGXB917DUMePt4su6vN5jWN7+NF27zemYTDk4WxZ5aHdYlHDUD/4fj98uL++M5vNamPoTz5Zn7ymLeY1OMCDM23FW/r5vK4+1L52T68+jUO9/kY7erT98Y81OMCDs2CVE77efJe+tbrl5unbD7X9+9v2dv/QB+uHP2rnnVfTVDO3e+DMWXHw9WbzW1t19VX169/UuFHznX7DZ+o7D7fWahiqtdUuEP5/rH6ALns+cKCOH+/ve88036lxbI8/0TY3axwd4MGZtPoJv7TcvT/zTD94VZvmNRtqY6NOnKiDB23s4YxZl5KWr9NfeWW7b7N6VWu1vV033TT99S81m3k4D2fGugRfdeo1u9tvryO31Xxe+/fXyy+3Gz87/+c/uubhjFij4Jd/htF73X13/8iH+/Z2jWP73R/GL9w8vfpKTZPf83C61ij4qprNqnq96/z2wAN14XsX80WNYz31veH++08d4GkeTse6HNr9p+UbeD/7aT/4iWlnMQxDnXNOf+K7dfVVrXdP6eDtW68JvzQMtVjURz/WNu+bTVNNU5082T534/TnP3W3a+B0rGPwVbW8QnPkS+3IbX2xqH376m9bww2fnlyhhdOxjlv6pWmq1mprq19zqP/iV23caPOdOny4HnmkxtEbePB2rOmErzr1+P3AgfbQ8XbxxX0+r42NevrpuvfeGkeH9vB2rO+EX1oe4D37bF17bZ08WbNZbWz0xx+raz7Vlh8Bu7e+E35pGGpnp664ou65pxaLmqZ69dV2y+f77387DUNNrtDCW7HuE35p+Tr9F2+tb36r79vX3nijPvD+6cc/mZ3/7vKgDnZvbwS/9Pp2Xfnxxc9/OdsY2868rjvcH3/i1BVaYDfWfUv/b73XOfvr0ceGSy7pO/Max3rq6fr6V6dh8GQedmsvTfjlxv655+q6w/3vW202qz71Rx9r119fDvBgN/bMhK+q1mpnpy6/vI4d64tFn6aaL9qxY/Xii67Qwq7sseDHsebzuv3LsyO31WJRF1xQm5t14YXVuz/JgP9tL23pl5bH8tvbdccddeutdemlq14Q7B17L/j/4rEc7N4e3gfP52qHt2bPT3hg9/bwhAfeKsFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8B7OekYJsr1gkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d92c6f87d912ca79fd81924fcb8223ddfca93b7be05aa4815a4b32bb32507222"} +{"episode": 14417, "episode_seed": 1628384397, "split": "train", "timestamp": "2025-09-15T22:55:23.556155", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1628384397, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "action": "('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "action": "('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "action": "('move', [4.566797259471006, -3.488217965838969, -37.14036588236311])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bd7ccaa451a0fd1c87723e2bd797bfda9b84abc3818cb0c161311011df040c59"} +{"episode": 14418, "episode_seed": 4097931648, "split": "train", "timestamp": "2025-09-15T22:55:24.180390", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4097931648, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "action": "('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4klEQVR4nO3dfYhVZQLH8d+599yZu66JRQ22mmCtmFLUfzULCmVWS2jYmzFtKJoimSJFBbqtlFhWLAxkptSwZfku5hIb0gtNk+bKQqmRWTCUKEqpaWEys3Ne9o9ztN1w1zTde+f8vh/mv/nnMHe+93mec55zTpCmqQB4KNX6AAD8/xA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8zrk0rfUR4DiCx7mVpgqCWh8EjiN4nENZ7V99VevjwHEEj3MlihQE2rhR11yjhQuZ2NeFIOVzwDkQxyqXtW2bxo3Tnj2SNHu2Fi5UpaIgYJJfM4zwOPuSROWy9uzRxInas0cNDZK0d6+6ump9ZPYY4XGWZf9Qhw/r1lu1aZPCUFGkkSO1fr0uvFBJohKjTO3wt8dZFgSKY02frk2bVKkoinT55VqxgtrrAn9+nE3Z8P7gg1q7VpWKenrU1KRVqzRokOKY2muPTwBnR5qqp0dBoKef1nPPqVRSFKlvX732mq66Kj+Hh5pjDY+zI4oUhlqxQpMnK4pUKikM9dJLamlRknBmvl6EtT4AFEGSKAzV3q5Zs/Lao0jz56ulJZ/JU3udYITHL5VN1z/5RDffrH37VC4rjjVjhlpbJalcpvY6QvD4RbIT73v36qabtHNnfqJu/HitXKnGRjbS1x2Cx5nLej56VGPHqr09r725WW++qf79uQhXj1jD4wylqZJE3d267z61t6tcVk+Phg7V8uXq319pSu31iM8EZyKrPQg0b55Wr1aloiTRoEFas0ZDhuS/Qh0ieJy2bBVYLmvRIrW2qqFBcax+/fTii7r6ajbY1DXW8Dht2eJ83Trde696evKV/NKlmjJFPT0KQ4b3+sVXMU5PNoC//74mTVJXl4JASaJ58zRlipIkv/sVdYsRHqchG9t37tSYMdq3Lz8tP326Xnih1keGn4fg8XNlte/erXHjtGNHft/r2LFavVrVqiTG9l6AKT1+luzE+7ffavp07diR3/fa3Ky2NlWrbLDpNQgep5b1HMd65BFt3KhqVT09Gj5cy5froou45N6b8EHh1LLgH39cbW1qaFBXl5qa9MorGjKEi3C9DGt4nEJ23+uiRZo5U6WSkkR9+mjVKo0dy13uvQ/B4385ccn97rvzqXuaavFiTZvGur1XYjaG/yqbrnd0aOpUJYkkRZHmzNG0aYrjWh8czggjPE4um8lv367x4/Xll/kl98mTtWSJgoC73HsrgsdJnLjL/a67tGWLqlV1dWncOK1bl98nw4m6Xorg8VPZ4vzYMd1zjzZsyGu/9lq98QaPmu71uB8eP5XtsZk1Sxs2KAzV1aXLLtOyZdReBASP/5C9Jeqxx9TWlm+ebWrSq69q6FA22BQBHyB+lJ2Wf/55LVigSqg4ShsbtXixmpsVx5ylKwKCRy6KVC5rzRo99JCUKk6UhsGzz+r22/NfoQAIHpIUxwpDdXRo9mx1d6vSkCRp9Mc7O2fOZDtdoRA8lKYql9XZqfvv1/79agyjf8alKenz8yuPSWkpSAJxKacguCznLrsI9913uu46ffyxwjCJ4tLv0/Vrf/Nwn/a/6bfDAk7WFQgfpLsgUJoqDDVypKQ0ikrX6u9/0bRfz5mloZdTe8EwwkNSPtAvnHfstSd2rtIfrhhzYfxmRzlIWb4XDMFDSrN5faIZM44uebnveeVkyz9KI4ZzQ1zxsPEGUpoGpSBd/9fghSV9Jf3pz9ReVAQPZbe5B00Xqfl3+lVV900R876CYkoPKU3zfbNff63ubg0eXOsDwrlC8DjuxJ0xTOaLiysuxrKn2Bw5orlz9fnnSpL8h9qLi+CNZc+peuYZPfmkrr9eBw+qVKL2YiN4V3GsSkUffqi2Nkm64QYNGCDx+piCYw1vKTtL9/33mjBBb72lwYO1dasGDGD1XniM8K5KJa1cqXfflaSnnqJ2E4zwfrKwOzvV3KwDBzRhgpYty9/qTvBFxwjvJwj0ww+aPVsHDujiizV3rhoaGN5NELyZbEJ38KA+/VSSHn5YV17JC+J8MKV3tW2b3nlHU6eqXz8eT+mD4C0xgXfF97qN7Jt9924dOpS/7T2OuUnGDcF7yDbMfvONbrtNo0bps89ULrOvzhDB20gStbbqo4/0xRfq7JTYVOeI4A1k5+S2btWiRZL0wAO65ZZ8sx3McNLOQ3e3Ro/W5s264gpt3KiBA3lNnCc+8qLLvtBbW7V5syoVPfqoBg5UFFG7J0b4Qssuv23frhtvzHfRrlyZvziKBbwlgi+0KFIYavx4bdigSy7R229r2DAm8854iGVxZW+QSlNNnKgjR3THHRo2jDfFmWOEL7psVn/4sM47j5k8CL6g/n3zLKM6jmMtV0RZ7a+/rpYW7d+vUklJwlV3iDV8MaWpDh3SnDnatUtJopdfVmNjrY8JdYERvnCyfXVPPKFdu3T++Zo6VdWq4pjVO0TwRZPdJPPee1q6VJImTdLo0azhcQIn7Qokq/3gQY0Zo+3bNWKEPvhA/ftL4sI7MvwfFEj2FMow1KWXqlrVggW64AKJ2vEjRviC6ujQqFE82QY/QfCAESZ7BcX3OE6G4AuKmTxOhuABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkXCQgIF1v8utUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "action": "('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "action": "('move', [-1.0131341094723927, -1.4825359941875302, -57.17356035992842])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1eb7d2303a01b0c20cb6d070ca66859b2a9f1fd8a98243231d4be9b7b17d94ea"} +{"episode": 14419, "episode_seed": 2224878725, "split": "train", "timestamp": "2025-09-15T22:55:25.154781", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2224878725, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "action": "('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKUklEQVR4nO3de6jfdR3H8df3dxnWKE1NocIuawlOokj900oLxUAlMvxDVl4QKVxlM8RKRzOnY+2fMC9MsJoNsQYRDWpSf6RiIwNriWkLIq2EvKEu3fld+uP32zl20d2ic77n/Xj8dTicPz5/nOfvc/lefs14PA5QQ2e+BwD8/wgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIe0LfjzOeDzfg4B2al/wTZOmyXA43+OAFurN9wAOwGRin5nJaJTDDstgkE4nnfZ9ZMG8aVkuTZNt23Lhhbn//vR66XRM9XAAmnFLNsTjcZomzzyTU0/Nzp05+uhccklWr85RR2U0Ms/DfmlNKE2TJBs3ZufO9Pv5+99zww057bTcdde0dod5sE+tCX4S8/nn56yzMhgkSb+f3/wmK1fmE5/Irl1zh3myh1fTmiV99q7qk9x+e9aty65dSdLpZDTK4YdnzZp86lN505syGk1/D/ybNgU/Mcn+r3/N2rXZvDnPP59+PzMzSfLBD+bLX85HP5okMzPp9+d3pLDgtC/4ZO6U7ic/yTe+ke3bk2TJkuzZk14vl16aK67IsmUZjabrfGCilcEnGY0yGqXXyzPP5M47s2ZNnnoqvd50D3/88Vm1Kp/5zPSPZ/cCUFxbg58YDNLrJcmuXVmzJps3J5mu8DudfOhD2bAh739/ErM9JG0PPv9a8g9/mKuvzsMPJ0mvl8Eghx2WK6/M5ZfnzW9OkuEw3e58jhbmV+uDn5hdtL/4YtauzR135Mkn0+tNV/4rVuRrX8u556bTycxMej1TPUUtkuAnZg/z7rsvGzdm69Ykc2f4F1yQK66YrvDt6qlpUQWfZDzOYJB+P3v2ZMuWrF2bXbumy/jhMMcdl0svzZVXZsmS6f05sqeUxRb8xOxe/fHHs2FDvvnNjEZzU/0pp+T663P66UlkTy2LM/jsvbV+ssK/99588YvZsSPZe5jX7+eii3LNNXnLW5JXnPbD4rZog5+Y3auPRtmwId/6Vv70p+mnwGiUt70ta9fmvPOydGkGg3S7pnoWuUUe/MRs9jt3Zv36fPe7yd4785Kce26+8IWcemriuh2LXYngJ2bvrt+6NevW5Ve/Svae4R95ZC6+OFddlSOPdIDPYlYo+CTDYTqdNE3+9rds2pTrrsvLL6fbnb4254QTcu21+eQnp3+sfBafWsEnGY8zGk3X7Tt3ZvXqbN8+d4bf7+fss7NuXZYvT2Jjz2JTLviJV87emzZl/fo89liaZvqSvMMPz7XXZuXK6fuz4ul6FouiwU/MXrr7y1/y9a/nO9/JCy/8y9P1V12VM89MXLdjsSgd/MTsyfz27Vm/Pvfck+w9w1+yJBddlC99Ke98py09i4Hgk2Q0ynicbjdPP50tW3LNNXn66bmn65cvz+c+l89+dr5HCYdM8HNm1+1//GO++pXctWU4TLfXHQ+GTdNk5crcccc8jxAOkcOoOb3edFf/rnflzu/l+/d0T3xfBsMmSZqcddZ8jw8OmRn+P4wzTrLnpebX973w4x03vrTqpm+/7oyPNJs3N92unTztJvj/MGn6scdG7/tAZ/fz2XLzz467bNmxg7cv66mdthP8fzMeZ/funHPO+Gc/H5zw3v69P8oRb81wnK4dEO3mP/hVLF2adeuaTtN/5LeDmzaP0iQ+GWk9wf83TZPxOCedlEsuyXDYu+WmzoMPptud3nYHrSX4VzHZr3/+83n96/Pss3niicSbcWg9e/jXNBrlBz/I0qXTi3JO7Wg5wb+mV74xxwM0tJ9/4tc0+QLqwWBa+3PPzfeA4JAIfl+aJr1eHn00H/tYzjwzMzO+g572Evy+TNr+5S+zbVt27Mhtt829Igfaxh5+P0x28meckZ/+NCtWZPv2HHvs9PE6aBUz/H6YXJa/7rr0+3n44Wza5ACPlvKPu3+aJiefnE9/OuNxbr01v/+9hT1tJPj9M3lFxurVOeqoPPFEbrstiSU9rSP4/TO5Gv+e92TVqiTZuDG/+EUSx/W0i+D3T9NMb6S/8MIsX55ly7J79/T30B5O6Q/cAw/kDW/IihWJm21pGcEfoNl7bGd/0DztYUl/gCZfVTH5zqqnnsrvfje9aAdtIPgD1+mk280DD+Skk/Lxj+fJJ5N4VJ5WEPzB+sc/8uc/59FHc/PNc0d6sLAJ/sBNduwf/nAuvjhJbr89jzySXk/zLHyCPyiT76BdvTrHHJPHH8+tt2YwsJln4RP8QWmaNE3e/e5cfnmS3HJLHnrIWT0Ln+AP1mQyv+CCnHhiXnopN97o+hwLn+AP1uT63DvekcsuS6+Xu+/Otm2Jm21Z0Hzp+SHodDIa5fzzs3Vrut288Y3zPSDYB3faHZrJMv4Pf8jRR+eII+Z7NLAPgj9ks1v34dADsyxwgv9fmFyB9xocFjzBQyEmJShE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkH8CSrCvavhElp0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "action": "('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "action": "('move', [1.4123635978280846, -1.7413153970616317, -9.765411323279674])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJf0lEQVR4nO3df+hldZ3H8fc599zvl7XQfu1M6lKU/xRSW1sJEUuB/6ikE21N0Y6lSW2hCWtNVhTbL/pBW6x+h0mTMYuBjDFYY5fBxKYisrZ1i4IotlGiqaTRScuRnHvPOf1xZzLCapzK+X6/r8fj7/vHh8t98vmcz/mcc5txHAvI0B7vAQCPHMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkNDgx7HG8XgPAh5xicEPQzVNNY3miRMXfN9X29bdd9eBA9U0x3s08MjKCn4cazKpvXtr8+basqUeeKCGwTxPkKDgh6Gq6qtfrRe/uL74xdq9uy6/vNqgLwCSgh/Hw5fud95ZXVdLS3XFFbV9ezVNzefHe3DwiGjGpBVt39dkUjt31qtffXjT7sQT6/rr66yzajar6fR4jw/+yoJm+KqaTGoYasuWeuc7axhqaanuvbe2bq29e2s6Pbzmh3Usa4avenCL7hWvqF27ajqt2azOPLNuvLFOOMG+Petc1gxf9WDS27fXs55Vs1l1Xd1yS735ze7Ms/7FBV9Hmn/CE+qTn6wNG2o+r+m0rr66rrhC86xzcUv631ps4O3aVZs3V9vWONYJJ9SuXXX22TWfV9cd+cRicx/WhcQZfqFtq+/r5S+vD36wxrGWlurgwbrkkvrhD6vrqh+qJpOqUjvrSW7wTVNtW8NQb3lLnX9+PfBALS3V7bfXBRfUL+6ptvn18IVb6v3vr4MHHcdj3chd0i8sbsXt31/nnlvf/GZNJtX344Wva67e+v/tGc9p7/lV8/GP1xvecGSVD2tb7gy/sDhau3FjfepTtXFj9X1Np811O8aVG06ZvOCMatq66urat+/wHXxY49KDryMX809/el17bTVNzWbVjPX2Dzxq9ws+2jy6Hb7z3dq50/Y964Pgq46cwDvnnPrYx6ptq+uaQ/eNr9329z940WVt9cPK9rrtf03yrAOCP6xpahjq4ovroovq0Kym3XjnT8d//val+x9/WnP/XcO+nx3+EKxl6Zt2v6vvq2lq//566Uvra1+rbjLO2+ZVT73tmg/vW9q0qR2qbdyTZ20zwz9occpmsYH3pCdVPzTL4/jZnzznyh9v6mqopka1s8aZ4X/f4nzdzTfXuefWoUM1qb7rxutv6DadNx/uub99zInHe4Bw7AT/EBbNb9tWb3pTdV3N5+PjNjR7TvuXZ7a3DXu+0bZVbWttz1pkSf8QFmv7Sy6pN76x5vOadnXg53X+rRfd/fW97SdWxsmk+v54jxGOhRn+oS2+lV/+sl7ykvrSl6qbjPNqXtZft/P0j3Y339RufGKzeCEmrClm+Ie2OGhz0kl13XX1tKdV3zfLzfyGyQUf+t5Zkx3bqm2rLOlZewT/B7Vtzef15CfXtm31mMfVrG+nzfCBevdnVu5vvv8//aS1sGfNEfwf03WHX4D13vfUMLbDUIe6R13880tvXfn+pA7O20m5HmJNcQ3/py1egXHppbWyUkuT/lBNnt1//b++8ren/ONTx7GxW88aIvijMo41m9V559VNN9W0G2fz5rx/2Lfr1lO6rvVXFqwhfq1Ha2mpduyoZzyjZvNmOhk//39/9653tYt3Y8FaIfijsni05tRTa2WlNmyo+dBMu/EjH6kdO/xxDWuJ4I9W29ZsVi98Yb3vfTWO1Q/NONZb31p79ixO4x3v8cFREPzDMJ1W39frX19bt9YwjMvL44EDddll9aMfVdd5WJ41wKbdw7P4tvqh/mlT//n/nixNx0OzOvvs5nOfq+Vl/0XLaucX+vAsbsJ1k/rENc3pp/zi0LyZTJrdu+ttbzv8DlxYzQT/sC1O3W48ubn2mv7x40/6sabdeOWVddVVZdOeVU7wx6Jpaj40Z5xz0n/8689quLdvmqbGyy+vPXuqaZy4ZfUS/DGa1NCP0y0X/82/PeXGYTZfXq777hsvvLDuuKM8PsuqJfhj1LRt0w/jaae/47KDr5x8+td9MwzjySfXXXdZ1bN6Cf7YtW2NwzB91aZ/P/PLz+2+tfk17Y3/OT7veVXlSXlWKbfl/jzjODZNc8f3bt/32FOff/JyV8Pg5hyrl+D/bOM4NM2icbWzygn+L2EYhrFpWo/KstoJHoJYgEIQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ3wBTVDUvVaegmgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHwUlEQVR4nO3cwa9cZRnH8ec9M0OIBAIJm4rIAlSsxoReK7BA0mgaUPEPUBJcScuGBX8BsjDEpJRE7BKDuCfRSBFZmEjBUCFQwdBEUIKUFWUFbe7MeV1MjZLcQnsh3jv8Pp9d7+pNM9/7nDnnuaf13gvIMGz1AYD/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMGfVe/V+1YfAj5Rgt/AsvPWqjXN86ki+A20VlX1/PN1+HC1VuO41QeCT4jgP2DZ9uuv1z331Npa3X13vfvuf38Oq07wH7BYVFU99FAdOFCt1fHj/cGDNQzVBc+nQuu+pP6P5SQ/caJuvmn8++utDe2KHf2pp+qLX2qLRU0mW30++HhM+A8Yhuq9rrii9u1rVW1o9ea/6tCh6t0NPD4NTPgNjGPN57Xra4uXX51MpjWbjX/6Y63tHsaxBr8hWWU+vxtorS64oO776aSqt6pT7w/3/6zN52fu3sPqMuE30qtXLRb9tu/1w08M02nN5+Mfnmzf+nZbXtvDihL8xpZX708/XXv39tOn2zjW2lodOVKz2VafDD4Gl/QbW+7b7N7df/iDM/fnjx6tRx6p+s+jO1hFJvxZLTt//oX6/m311lvVWl1zTT3zTF12WfXu7h0rycf2rCaTms9r13V1++1VVcOkjh/vDxwYWzPkWVWC/zDLx/L799cXrunz9RqG9qtft1de7rOZ5llJgv8ww1CLRV11Vd3543EYqrX65z/q0KG+vl5V9nBYPb7Df7RxrPdP1Y3Xj8f+OkyndfHF/fHf1fU3NHs4rBwf2I/WWl30mfrJfWeev588WQceqNOnLNuyekz4c9J7jb1u++74+OFhNqv5fDx8eNi7t+zhsFoEf06WYf/52b5nT58vhvX12v318ekjw3QqeFaJS/pz1Xvt2tV+dEetr/fptJ47Ojz8sPfhsGJM+HO13MM59lK/9Tt14u3Wx7r66jpypC6/vKrMeVaDCX+ulns4X/lqu+OONi5qGOq11+rgwWqt5vOtPhycG8Gfh9ZqaLVvX117bY1j9V6PPlrHjpU9HFaF4M/DZFLr87ryyrrzzupVk2m98cb4i5+P87mX2LMafIc/b73X6dN14w39xZdaa3Xppf2xx9pNN5WX3rH9mfDnrfe68MK6997qvbdW77zTHjw4nnq/LxfvYTsz4Tdj+X926y3jE78fZrPqY//Nb9stt2z1seCjCH4zlns4R5/ru78xTqeT+bzWrhuPPDvMZp7Psa25pN+k3mvXWtu/f5jP+3RWf3lh+OXD3XY925wJv0nLW3R/e6V/8+Z+8uQwjvX5zy1eeHFyySW1/ENa2IZM+E2aTGoc68s7213722LRh6HeeHNy//01mXgmz/Zlwm/eYlHDUG+f6Hv21KvHW1Xt2FFPPlk7d9Y4ekTHdmTCb95ymO/4bNt/V5tMahjqxIkzy7blfThsSyb8x7XcsXvvvTP/bK0uumhLDwRnJ3gI4pIegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwbcWilM/naDg4AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d4d72a5c905a634d37dbc04892f12093a9b58a4f529738791fa547e14a4ecf96"} +{"episode": 14420, "episode_seed": 4105747617, "split": "train", "timestamp": "2025-09-15T22:55:25.778228", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4105747617, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "action": "('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "action": "('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "action": "('move', [-22.454003009094517, 0.2466449122551928, 41.170119142371014])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bb10237d369d0c99d2fcb3de6b86943cd7f68087a779cd01eea993919dabb19c"} +{"episode": 14421, "episode_seed": 3909844152, "split": "train", "timestamp": "2025-09-15T22:55:26.411243", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3909844152, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "action": "('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJoklEQVR4nO3dP4ikdwHG8WdmZ+NdTG4vYghnYSVqFRW1EBSLEBvhKiOoCAFjsLEJSBqrFGIXECxEUihGYqyEQxErERRRUIkGgiLCkUOCgayXO+Pt7IzFO7tzGNSdS8zuu8/nU83uTvHusN/9/Zn3fWeyXC4DdJge9wEAbxzBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBJ8tlFovjPgh4I3QHv1xmPs9kkmn360CN1j/05TJ7e5lMMpvl6tVcvpzl8riPCf7vWoNPsr2dvb1cupTPfjYXL+bKlSSy53SbHfcBvOGWy0wmSfK97+W7382lS6sF/C9+kU98YvUjOKU6gh/G7ckki0Wm01y/nocfzve/nxs3kuQDH8gjj+TDH17/L4BT6rQHv1hkuczWVpIsl5lOM5/nzJncdlv29vL+9+fRR/Oxj2Vn57gPFN4Ik+VpXbUuFtnfz/Z2krz4Yn7yk/z85/na11bD+B//mGefzcc/ntls9eTJxPDOqXdKg5/PVyW/8EJ+/ON885v52c+S5Omn88ADq4n94HC2DwVO6ZR+Nsvubp58Mk89tUo9ycWLeetbV4+Xy9UMX+o0OS0j/OFvMZnk5ZfzxBP5znfy61+vvnnxYh5+OB/9aO6447gOEE6C8Qd/8/J7fz9bW7l6Nfffn1/+Mtvbuf/+fOlL+eAH8+Y3r58ArcY8pV8sslis1upXruRvf8u992Y+z5135jOfyblz+fKX85GPrP8XTKdqp9w4R/ibd+D/9Kf86Ed5/PFcu5bf/jYXLvz7k23LwYERjvDDZtt0mj//OU89lSefzLPPJsmb3pTnnsuFC6s33g6n+lKHA2MLfoj5+efz9a/nBz9YpX72bB58MJ/+dN73vuRgMHcBHLzKGII/fNt82HL7wx/yqU/lmWeS5MyZPPhgPv/5vOc91ufwP53s4Pf31xerz+erpN/xjrzznbl8OQ88kEceybvfvX6y99Xhvzqpm3b7+1ksVttyv/99vvWtnD2bxx5bTemfeSb7+3nve1dPti0HR3Pygl8us7+/erPtV7/K00/n29/OCy8kye9+l3vvXV/TpnPY0Amb0g8xz2b5zW/yjW/k0qU8/3yS3HNPPve5vOUt6x342JaDjZ2kEX7YnLt8OY8+mp/+dHULmrvvzhe/mE9+Mu9613EfH4zeCRvhk1y/nh/+MLu7edvb8tBD+cIXVufSmMDDa3aSRvjDpB9/PM89l69+NefPr3508wWtwK06ScG/mntOwevq5E3pc3BfKm+qw+vtZI/wwOvKwhiKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KnMi71sJ/dnjXVfc0vgWCZ2R0/lqY0jM+83leeSXz+XEfxwgZ4RmH4VOI/vKXPPFE/vrXvPxyHnoo992X/f1sbR33wY2H4BmHIfgrV/KVr6w+LvxDH8p992WxEPwGTOkZk7vvzoULmc0ym+Wf/0xu2sPjKIzwjMOwV3fnnVkuV6v3q1eP94hGyQjPmOzsZHYwSF27lti035DgGYfJJItFzp5dr9iH4Kf+hDfh1WI0huX6mTOrLw+Dt4w/OsEzMufPrx5cu5YbN0zpNyN4Rubm4P/xj8RG/SYEz2gMg/ldd62+vHYtr7xyjIczSoJnZHZ2Vg8OR3iOTvCMzM1TeiP8pgTPyLw6eGv4oxM8I2NK/1oIntE43LQbHpjS3wLBMzLDlH4yyXye69cTU/pNCJ6R2dnJZLI6wdYIvynBMzLnz6/Pn7eG35TgGY1h6X7+/Pp02uEKWWfXHp3gGZlz55KDdfvf/564YG4TXipGZjbLuXOr4Hd3EyP8JgTPyEwmueuu9Qg/PLBRf0SCZ2Sm0+zsrIPf2zvuAxoVwTMyk8n67NqrV3PjxnEezOgInpG5OfjdXSP8ZgTP+Nw8wvv8mY0InvExwt8ywTM+N4/wgt+I4Bmf4QrZ6XS9S+9tuSMSPOMz3NZuayvXrxvhNyN4xmQYyYcp/XBGrbflNiJ4xufwpjfxCXMbEjzjc7hpl+SllxKn0x+Z4Bmf229PDqb3gt+I4Bmf2Sy33Zb9/eTggjmOSPCMz3CF7GKRHIzwHJHgGZ/t7fUFc4LfiOAZn62t9Ub97q6zbjYgeMZnmNIPXnppNbfnKATP+Pxb8Eb4oxM847O9vQ5+d9cIvwHBMz6z2XoNb0q/EcEzJsMJNsNt7YYHgt+I4BmlYUov+E0JnpEZ8h4+YW46zd6eT5jbgOAZmWFP/o47slzmxo0sl3nxxfX3+e9mx30AcCvuuSdvf3tuvz2zmdQ3MFl6tRih+Tx7ezl79riPY2wEz4gtFlkuM526PPaoTOkZqyF1NuIFY6yM6rdA8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkX5/8LRE6gDDYAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "action": "('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "action": "('move', [-5.800349171276198, 2.140849558009632, 37.56251121174523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d873c2983d0d2eb141c3c41e90fcb3385174d38f71134555de56cceb6437191d"} +{"episode": 14422, "episode_seed": 2718857272, "split": "train", "timestamp": "2025-09-15T22:55:27.044502", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2718857272, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "action": "('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "action": "('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "action": "('move', [7.249646696428205, -3.372791169838742, -3.909285561713754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHhklEQVR4nO3cMVJbVxvH4fcKCYd9ZAPpsoAsIn1mbAPuYsA2KVJmEJITA24z6bKE7CKLSJ0qVZDQ/Yp7R8wwiQ0OkuD7P08LM6L5cc55de9p2rYtIMNg038AsD6ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChw1bLKpt1/RZTbu2jwI2zQoPm9EttX//XT//XH/8UVW1WKz8QwUPG9C21TS1WNT339c339TTp/XnnzUYrHxvL3hYt+7QPpvVq1f1ww81GtVvv9Wvv1ZVzeer/WjBw1p1+/bFor77rsbjGg6rbWtnpz7/vKqqaVb76YKH9Vks+qSPj+vkpLa3+9X+5KS++qoWixoOV/sHmNLDmiwWNRhUVR0d9Wv7bFZVdXZWL170/wus8PD/oG37mdzRUZ2c1GBQs1kNBnV+Xi9e9DO8Vddegoc16M7ts9l17W1bT57Uu3e1v19Va6q9qlZ8YoB43Sn96qqOj2s8rq2tapoaDuv0tPb317STX7LCwwotR2Rd7aNRVVXT1Hhc+/s1n6+19jK0g9XpTubduf30tIbD/mv2s7O+9m61XyfBw0p0tVfV4WG/k7+6qqo6P6/9/X7lX3PtZUsPq9CdzOfzOjio8bh/ivbJk7q46Kd0tYnaywoP966byc/ndXxcp6e1tVVVtb1dp6e1t7extb1jhYf71PW8WPS1d1O6ra0aj2tvr9/Vb6r2ssLDPVq+A3d0VJNJjUY1m1XT9N+3b2RKd4Pg4X7cmNItZ/IXF/3aPhhsuPaypYd7sZzSvXxZ43ENBjWf1/Z2vX9fe3tV9SBqL8HDf9dN6S4v69Wrmkz6tnd26scfa3e3/52HUHsJHv6jrvarq3rzpiaTGg6vn5zd3V3rBZW3IXj4dN1Ovm372rv325umptPa29vAk7MfZWgHn2g5pTs4uH5ytmnq/PwBTeluEDx8iuU3cIeH/bm9u6/m7KyeP9/w0zUfYEsPd7ac0h0c9LVX1c5OX3ut8f32u/I+PNzN8jaLN29qOu1voRsOazKp58/X/X77XVnh4Q7+bUo3mdTu7kOc0t3gDA+31d1C2bZ1cNBOp013C+UDn9LdIHi4leVtFgcv28m06d5v726h3N19uFO6G2zp4eOWU7pvv20n06Zb5z/7rC4u+mfpHvhOfsnQDj6in9Jd1uvX7du3zfIWyun0EUzpbrDCw4cs329//bqdvm2699sHg5pOH8eU7gZnePhXy3P7y5ftdNqMRtfP0nW1b/z99rsSPHzI5WUdHta7dzUY9PfVvH/fvxXzuNb2juDhn3XL+++/15df1uVlDQY1GtVPP9WzZ9c/fXSc4eGfdT1/8UX98kvt7PQ3VT17Vm37WGsvU3r4gK7tr7+uy8v66696+vSx7uSXbOnhI66u+qumH3vtJXi4je6r+MHjPwELHoI8/n9ZwK0JHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8D2EXwYlPd80gAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "122dd979bf156262dc261242c4589bdbe8bfd4245ea2ad76eee7a8727c8c7fa7"} +{"episode": 14423, "episode_seed": 3614898305, "split": "train", "timestamp": "2025-09-15T22:55:28.027759", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3614898305, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "action": "('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "action": "('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "action": "('move', [8.378566654899522, -1.720367583508337, 47.02763534212801])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJAklEQVR4nO3dy2tcdR/H8e9MkjZtmtiG4kpoVSo+VqELEQRxZVdWsf+AeGmLO121K0HBhQuxSimCVejChRtFVKRUKKJuXJboRnBRUTDQC1N6s00yz+IMsS15rD6ZyaWf14vDcCYkzZmZvvP7nUsmrW63W0CG9nJvALB0BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBM/KNje33FtwWxE8K9jcXLXbmu8jwbNSdbvVbtf0dLX9L+0bTyUr0uxstVr13Xe1e3cdOWKQ75dWt9td7m2AG83O1tBQ/fJL7d5dU1O1dWv9+GONjS33Zt0OjPAsSv/Hi2Ymf/FiHThQU1O1Zk0dOlTr1g3gOyUaXu4NYOVqEpu/veluVQ0NDWD/em6uhobqjTfqk09qaKjefLN27er398hlSp/rb0rudqvVqna7hoaWfJtarTp6tJ5/vqpqz546fLiGh6vKobu+EPxt6/oXdn59fqXp+ZauXKnz56vTqfPne0uz3unUhQvV6dTERB04UJs29WOLm5Nw33xTzzxTnU49+mh99llt3lyl9r4R/KrUvGit1qL+kUuX6ty5Oneuzp5d4Pb8+bp8eeHl+kPmExN18mRt3dqrdVEPqZnMP/lkffVVbdlSX39d27b1DuDRJ/bhV6UFU28m53Nz1e3WxYt1+nSdOVNnztTZs3+tnz7du3vhQl27Vteu1czMDSv/9vzXpUt19Wo/HtLcXO9RHT5c+/fXs8+qfRCM8KvS1FT98Uev3qbkJub5lStXeuVfv2e+SCMjNTJSw8O92zVreivHjtXddy9uhJ//4mal2ZNf7JyBBQh+lWnGvC1b6tdf/+fntNvVavXGy9nZf1T76GitW7fAMjZWmzbV5GRNTtamTb1l/u7Gjf14SE3YJ07UfffVXXfpfKBM6Velbdtqerq63ZqZWWASftNHRkdrfLwmJmp8vLc06xMTtWFD3XFHTUzUxMRfK/PLLc3vd///mrPu335bu3bV/ffX0aP10ENm8oMj+FVpaKj+/LOqat263kg7P/xev75hQ61fX2NjtX79DSvr19/6gN/c3F+zg/n5wk23rdaia2+16tSp2ru3Ll+u06dvmJwwAKb0q0zTyE8/1cWLNTZWa9YssPyTXmZnezv59bc9D1DzSK5eraeequPHa3KyPv64du40vA+UEX6VaSLcvv3vPmf+cP31X1I39rwMF9Vcr9ut2dlqt+vll+v48Wq16tVXa+fOmpnpXWbDYHhyV6X5w++10Cm6ZnBeuUe+mp9Gw8P17rv1/vtVVS+9VK+8Ut2u2gfNlJ4l10zmP/209u2rM2fqiSfqiy9q7dqqRV9LxK2s2FGA2127XZ1O3XtvffBBjY5WqX0pGOFZcs0OSbtdx47V5GQ98ohz70tG8CyhZjL/Tz7IYDhGwpJoLhIaGamDB2t4uJ57rsbH+/M7QPwbgmdJzM3VyEgdP16vv16dTo2O1t69VWpfanacGLzmWpqff659+6rTqQceqMceq1L7MhA8A9bt1tBQnTtXL75Yp07VxES991795z/eo25ZCJ4Ba4bxAwfq+++r3a6DB+vxx2tmxvC+LOzDM0jNMH7oUB05Uu127d9fL7zQG/NZDk7LMTDN2fWTJ2vHjqqqp5+ujz7qvb28s+7LxPPOwLRa1e3Wxo21Z089+GC9806Nj1epfTkZ4Rmk5qKa2dk6daruuccVdctO8AxAc5lNp1ObN9/8fnUsKy8A/dYcgX/rrdqxo06c6P3qu9pXBq8BfdX8ovvnn9drr9Xvv9eHH9bVq703rmIFMKWnf5phfGqqdu6s6enavr2+/LK2bvWuVSuHEZ4+af6SxG+/1d69NT1dd95ZR4/2/iSN2lcMwdMns7O997H54Ydau7befrsefrhmZuy6ryim9PTVlSs1M1NVtWGDA3UrkOAhiB/AEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOS/dbpDh/DanCUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIeklEQVR4nO3dz69cZR3H8e85M3PbQiUisBLcGReSooF1m8YFotFrEYiLIm1N6+IaokEkKTHQHZuGgA1gS1KIaGix8ivpBhGIrFhIgms0pMG7KNVoCoT5dVzMjf4B3Htnyuf1Wk1yNydn7nue5zzzzDlN13UFZGjnfQDA5hE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8l4Cum/cRfFYInsU1na69aJr/v+bTEDwLajKptq1Tp+rIkbp4sdrWOL8Oms5ZZPFMJtXr1V/f6W7+Zq2uNnv21AMP1I4dVVVNM++Du5QZ4Vk402m1bb3/fnfXndPV1RoM6vnn64UXqmlqPJ73wV3iBM9i6bpqmvrkk7rvF/X2O72lpWY0qt27pisrNZ1Wvz/v47vECZ7FMgv+6NH67e+apaUaDutL105OPt1cfXW1jfn8p+UangUyu3Q/81x32x1d07RVddll07Nn25071+b5fEpmSCyK6bR6vXr7L92hg9Om6c1m7w8/3O7cWV2n9vXhLLIQJpNqmjp3rtu3r/vnv3ttW6NRd+jQdP++mkzmfXCfIab0zN9sU81wWPv21alTtbRUw2H3jd3TP7zQbt/eVBne140TyZzNRpy2rYceqtOna8uWGg7rK1/uTj7du+IKta8zIzxzNh5Xv1/PPFN33rm2nW779nr55dq1a20Nj3Xkw5N56rrq9+utt7q7V6ZVa3kfPVq7dlXXqX39CZ65mX3lvrpaBw7Uv/7T9no1GtXdd9fBg2t/Yt2Z0jMfs/+7yaRu+3734kuzPTbdLbfUmTPNli3V2GOzMYzwzEHX1XRaTVO/PDx58aXaurWGw7rhhnriiWbbtiq/kNkwRnjmYDSqwaCePDE9eKh6vXY6rS9cWc/9vtu9u5mt4bFBBM9mm22SffPN7tZb64MPmsGgRsPpk8frwMFW7RvNlJ5NNdsku7paKyt1/nzT69dw2P38nu7AwXa2Ys+GMsKzqbquJpNaXq6zZ7t+vxmP67vf6Z470/Tban0Jt/GM8Gye2ULdvffW2bO1tNSMx/X1r3WPPdYsDarxn7gpnGY2yWhUbVuPP16PPFJtW8NhXXllPfJo88Vrazy2LL9JTOnZDLNNsm+8XrffURcuVK9XXVcnT9bevWWhbjMZ4dlwsx+6nzvXraxMz5/vBoMajeq++2rvXnet2mxGeDZW11VX9fGHted7k1debWcLdcvL3bPPNoNBta3J/KYywrPh2qbuPzx95dV2MGjG47r+q9Pjx5utW9U+B0Z4NtDs0v3E8Tr04+r3azyuz39u/Mc/9W68qXGPurkQPBtlbaHuje7b3+o++rjt9avXTp/5Td12e6v2eXHW2RCz2t97r360v/vwo2YwqG5ahw+3s9rN5OdF8Ky/WdIXLtT+/fXu39t+vxkOu1v3dPfcs/boGMHPi+BZZ7NrxK6rI0fqtddqMKjxuHbsaH51rC6/vNrWZH6eXMOzzmbX579+olZ+0rVtMxrVVVfV66/X9dd7mMT8CZ71NEv6tVenN99co0nb61WvV6dP1/Ky2heCd4B1M0v6b+92d/2wG03apaWaTOrBB2t52aNjFoU3gfUxe5jEhQu1b1+d+0ev36/hsPvBHZOf/bTz6JjFIXjWwf9uMnv//d2f32wGgxqPu5tunD56rN2ytSnL8gtD8KyDWfDHjnUnTsxqr+uu6556qr3mmmb2yxkWhEU71s3Fi2vlz25WtW2bhbqFI3g2iodJLCAfv2wUtS8gwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wI66ej83liO7AAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bb1bebc4ca7d034bc72279509b6880ff0cb16ff0372495665f4696db56a103f8"} +{"episode": 14424, "episode_seed": 297643275, "split": "train", "timestamp": "2025-09-15T22:55:28.655005", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 297643275, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "action": "('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "action": "('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "action": "('move', [18.0937447010695, -30.02284699998549, -27.770160137522595])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI60lEQVR4nO3dTYhV9R/H8e+9d8ZSElMhqFy1aFVBkYURrnKRPRBEK3uAECR3YdAuWkdkRFBiFLUIimgTVLhoYeuWEYGQaZEZgxSYTzP3/hdnmhmx/s7j/UWf12sl4wgH4X2/5/zO75zbG41GBWTotz4AYHwED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EmWh8Aob78so4cqeGwNm6sl16qycnWB5ShNxqNWh8DiQ4cqNdeq6rasqVOnqwNG1ofUAYTnjY2bqx+v/r9GgxaH0oS1/CMW3dOOTlZw2GNRnX+fDnLHBvB08a6dVVVvV5duCD48RE8bXTBV9XFi4IfH8Ezbl3ecxO+qi5ebHk8UQRPG9dcM/9nwY+N4Bm3uUW7ORcuzP+cNSV42lg44bvgGQPBM26u4RsSPG1MLNjzZcKPjeBpo9tg1017wY+N4Bm37jS+m/DDYZXgx0jwtGHCNyF42lj4zIzgx0bwtDEYVL9vwo+b4GljMKjJydng3ZYbG8HTxsTE/Ga75Ux4+/KWRfC00e/PB7+cCd+t9bNEgqeNFU34ixfrm29qaqrKqF8awdNGdw3fWULwo1GNRnXqVO3aVbfdVl9/Xb3e7N18FkHwjNvcxpvlBN/rVa9Xhw/XmTN16VKtX19lyC+Bl1jSxsJr+KVN+F9/rbfeqqp66qm6++6amfEezMUz4WljORN+OKxerw4erKmpuvHGevrpKuN9aQRPGwuv4Re1Sj8cVr9fx4/XBx9UVT3ySN15Z01PX/bYHVcjeNpY8qJdv19VtW1bvfxy3Xdf7d8//0MWzacjbVw54Uej/3tzfTismZmamKh9+2rfvtkfCn6JBE8bC4M/f34R/6D7npr666Ldxptl8QFJGwsX7a5yDd/dZj92rF55pU6flvpKCJ5x64Jd7DX83In+Rx/Viy/Wo4/ONm9xflkETxtLW7Q7caIOH66quuOO2rx5TQ/sv03wtLHY+/Dd1roPP6wff6zNm2v//pqcrJkZJ/bLY9GONgaDy75e7h+NRvXbb/XGG1VVe/bU7bfXcGhr3bKZ8LQxGMxvmfnHCd9trTt0qH75pW64oZ58sgYDj8qshOBpYDS6bC/939+W65brTp2qd96pXq8eeqi2b7e1boUETzNXuS3XXai//XadOFGbNtVzz1W/79J9hXxY0kA3vOeu4S9d+rtf6rbZPPBAHT1at9xS27d7MG7lBE8D3U30uXPzv987NxrVzEzdf3999VWdO1dlI+0qEDzjNrdrZu6UfjicfRbuMt0wn5mpqtkXXTifXzEfmTQzF/xotOAr4ue20H3xRR09WoNBDQb21a0WwdPAlRN+ft2u+7uffqrnn6+HH6733qsy21eN4Gngymv4+VvxXdufflrff18XLtStt1aVe++rRfA0c+UpfXVn7lNT9frrVVXPPlv33HO1B+VZAsHTzMLg/7ozN6per95/v374obZurT177JxfXYKngYVfEV9VMzN/Ldr1enXmzOzO+d276957ba1bXYKnmbkJPzlZ09NVNV29qkOH6uTJ2rKl9u6d/w1WSW/khgeNnDtXf/5Z69ZVv1/rrx31B706c6buuquOH68nnqiPPzbeV53/TZpZv352Q01Vt3Dfq+npeuyxOnKkXnihqmykXXUmPP8O3ZfGdbvtfv65br659QH9Nwmef5nuNN6tuLVh0Y7WupFz6lR9/nmNRjUx4T7c2hE8/w6ffVaPP14PPlinT9s8v3YET1Nd2FNTdfBgnT9fW7fWddepfe0IntZ6vfrkk/ruu9q0qfburQ0bnNKvHcHTVK9XZ8/Wq69WVe3eXTt2eK3NmhI87XQvt3j33Tp2rK6/vp55pq691vr8mhI8jYxGNRjU2bN16FD1erVzZ+3aZWvdWhM8jXTj/c0369tva3KyDhzwUtox8GlKI13b27bVjh110021c+fszGct2WlHO93l+u+/1x9/1LZtxvsYCJ6mXLSPl+BprXtfnXfOj4XgIYiPVQgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyP1LO0sdJ2dTbAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2a8e420bd86a81160946ea6a7a5a6c7f4256070d4fdc780a143fa58a98fae457"} +{"episode": 14425, "episode_seed": 450570005, "split": "train", "timestamp": "2025-09-15T22:55:29.283735", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 450570005, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "action": "('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALPklEQVR4nO3de4hV1QLH8d8+5/hKLZuMcoYQKV9/pGVFwqSVUpqvQsNIJjKIpAikoAgpqH+EisCg/kijsaYHZFmNWTMRahOWY2aGhphCCOn0srI0H3P2WfePvZ2rwuV6u83sM/v3/fylR/9Y6vm61l57r3OiEIIAeChkPQAAPYfgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYLPSAhZjwCOCD4jUaQ4znoQsEPwPS6Z248cUbH4758CPYLge1YIiiIdPKhZs/TIIzp2TFGUvg50P4LvWeWyJD3/vNat05NPauJEtbQojtPsgW5G8D0rWcbfdpsaGjRwoLZt04wZuu8+ffutxDyPbkfwPatQkKSLL1ZTk155RfX1CkHLl+vVVyUpilSpqFymfHSTKPDe6nkhKI5VKunAAT33nD77TMuXa/jw9Aq/6/ewzsc/jeCz09mpPn0k6ddfNWSIQlCxqHff1Zo1evpp1dRIZI9/GMFnqlJRFKUr+SjSTz/pppv01Ve65BI99pgWLFCppBAUQnotAPx/eBtlKsk4mcajSAMGaPJknXee9uzRnXdq3jxt26YoUqGgSiXrsSIPmOGrRtfq/dNPtXSpWlok6eyz9eCDWrRIF16Y7eiQDwRfZcpllUoql7VihZYtS2/XjRunDz9UbW26e89VPf4ulvRVplRKN/DvvVdr1mjx4vTFfv0kpSt/cccefxMzfFXqum8XgpqbNXasRo1K1/w7d2roUJ1/viRVKmzm4X9C8FXs5J7jWMWi2ts1d66GDdOyZaqvVxSpXFaxyCIfZ4j5oYoVCuk9OZ3Yz9+xQx0d+vJLXXutHnhAu3erVJLESVucIWb4XiL5Z6pU9OabevZZtbdL0ujRWrxY99yjYpFHdHAmCL4X2rdPK1bomWd06JAkTZumhx7SlCkEj/+KJX2vEoI6O1VXp8cfV1ubZs6UpNZWtbaeUjtP6eA/YIbvhboeyC2X1dSkF17Qyy9r9Oi08+SZ/OSMPXv4OBXB91qnXbQnW/otLWpu1qJFGj9eOvEYD3ACwfdyyT9fcrrmt980Y4Y2bVJtre6/X4sWqaaG+3Y4GUu+Xi5Z20dR2nxDg+rqtH+/lizRnDl65x2VSumvAszw+dG1wt+9W089pRdflKSBAzVvnpYuVV0d9+0ggs+VrpPzcazWVi1Zoq+/lqSaGn38sS6/nObBkj5Huk7OF4uaMUOff65HH9XQoRoxQiNGZD04VAVm+Jzqmsw3bFBNjcaNy3pAqAoEn2vclsOpCD7veAIHJyF4wAj/8QNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjJSyHkBViGNJKhQURVkPBehOUQgh6zFUi0pFBVY8yDXrN3gysbe26okntHkztSP/fGf4EBSCjh/XHXforbdUW6sbbtDKlQqBhT1yy3dSSxbwu3Zp/Xr17av9+7VvX9ZjArqZb/CFgkJQW5sOHFCloijSww9nPSagm5kGn6zb//xTr72mKFIca/hwTZokifU88sw0+MTOnWpvV6mkELRwofr3z3pAQDczDT6Zxt94Q1GkSkV9+2r2bEmqVLIdF9C9TIOXdPiwXn9dkuJY112nkSMl1vPIO8fgkxuRzc36+WcVi5J0660aPFhxTPDIOd/gV66UlG7X1ddnOiCgp9gFH4IKBe3erS1b0p9OnaoxY1SppLM9kGN2wZfLktTUpIMHFUUaMEBTpqhQSB+zBfLN67RcCCoW9ddfWrcuLXzUKM2cqRBU8vqbgCmvGT6OVSjok0+0fXv6yuTJGjJE5TLbdbDgNa9FkUJQa6v++ENRpMGDtWBBelUPODB6pyfbcnv36qOPJCkEjRmjiRMlsV0HF0bBJ3fjNm3Szp3plN7QkB6SBUy4LOmTdfvRo1q7Nr1cP+sszZ+vKOLqHUZcZvjkeNz33+vtt1UoqFLRnDm64IKshwX0LJfgk9PvLS06ciRdz991F+t52HEJXlK5rMZGRZE6OzV6tK68ksU87BgFv22btm5NN+Rvv13nnsv0DjsWwSen3F96KT39PmiQpk5Nf8wkDyv536VPtusOHdLatelF+6RJuuwySTxvAzv5f8sn0/jq1eroSL9b5sYbNWiQOjuZ3mHHYoYPQatWpefkRozQtGkS0zss5fxdH8cqlbRjh7ZuTV+5+mqNHas45nFaOMp58Ml23XvvqaNDkvr316xZCoEPq4SpPAefnHL//Xdt2JDegbvoIt1yiyT16ZPpyICM5Dn45EMpv/hCGzemr0yfroEDmd7hK8+bdskHV61fr6NHVSioVNLChZx+h7XcvveT74r84QetWpU+YzN+vCZM4HgcrOU2+KTqLVu0Z0/6eXV3381pGbjLc/DlcvplUnGsc87R9OnM7XCXz+CTabyjQ6tXp6ffb75ZtbUSXyYFb/kMPrFqVfr8bBRp/nyVSuzPw11ug69U1NQkSeWyLr1UEyZkPSCgCuQw+OS0THu7vvkmvQM3e7aGDUs/lB5wlsMCknV7Y6PKZYWgIUN0/fWS2J8HcvfgTfLh87/8ora2tPCrrtI116RfMgWYy9sMn6zn339f330nSYWCpk5Vv358mRQg5S94SXGsDz7Q8eOSVFuruXN5nBZI5aqD5PT79u3avDkt/IorNHIkp9+BVK6u4ZOL9rY27d0rSaVS+l2RLOaBRBRytHmdPCr/44/auFGNjdq1Szt2qH//rIcFVI1cBX+yY8d0+LBqarIeB1BNchh88gdKlvGs54GT5eoaPtFVOLUDp8nVLv1pqB04TZ6DB3AaggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AvkJdy/LtUkQAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "action": "('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOklEQVR4nO3dT6ildR3H8c9zz5nxjlNZt3vTmbsISZQ2SrQJBIM20SQtVBBCaNdQBKIgiBS0ElIEg1yobcxWbQolmoGQKLAERQUjyCBazL9yZnRmGse5557T4nk8joZzz73lnHnu9/Va3XtmFj+Y857v7zz/TjOZTALUsDDvBQCXjuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIvg5mUzmvQIqEvycNE3W1+e9CMoR/CXXzva3385g8N6vcEkI/tKaTNI0eeut3Hpr7r8/77yTpuleh4+e4C+t0ShJHnsszz2XH/0oX/pSDhzI+nqXPXzEBH9ptdv4O+/MXXdl9+688kr27ct3v5u//jUx5/nICf7SWlhIks99Lk8/nZ/9LDffnMkkTzyRn/88SZom43FGI+XzEWkm3luX3mSS9fUMhzl+PD/5SZ5/Pk88kc9+tvuEP/079vn8vwl+ftbWsmNHkpw4kU9+MpNJBoP86ld59tk8/HCWlhLZ838m+Lkaj9M03U6+afLPf+ZrX8vLL+e66/KDH+Sb38xwmMkkk0n3WQD+N95Gc9Vm3I7xpsmuXbnllnz60/nb3/Ktb+X22/PKK2maLCxkPJ73WtkOTPjLxnT3/oc/5MEHc+BAknziE7n33uzfn2uume/q2B4Ef5kZjTIcZjTKk0/m0Ue703U33pjf/CZ793ZH732qZ6ts6S8zw2F3AP8738mzz+buu7sXr7giSbfzjzP2bJEJf1manrebTPLMM/n853P99d2e/y9/yfJyVlaSZDx2MI9NEfxl7MKe19czGOSFF3LbbdmzJ48+mptvTtNkNMpgYJPPjMyHy9jCQndOLu8ez3/ttRw5kpdeype/nHvuyeuvZzhM4k5bZmTC90T7zzQe5xe/yI9/nBdeSJIbbsjdd+fb385g4BIdZiH4Hjp0KE8+mUceyZkzSfLVr+a++/KVrwieDdnS98pkkrW1rK7mhz/M73+fr389SQ4ezMGD76vdVTp8CBO+h6YX5I5GefrpPP54nnoqN9zQdd5ek9/eY+8YPu8n+N76wIf29pD+gQN55pns35+bbkrevYwH3iX4nmv/+dq7a06ezL59+dOfsndvvve97N+fpSXn7biQLV/PtXv7pumav+uurK7m8OE88EC+8Y388pcZDrs/BRN++5ju8F9/PQ89lJ/+NEl2787tt+fBB7O66rwdEfy2Mr1zfn09Bw/mgQfy6qtJsrSU3/42X/iC5rGl30amd84PBtm3L3/8Y77//Swv59prc+21814clwUTfpuaDvPf/S5LS7nxxnkviMuC4Lc1p+V4P8Fvd67A4QKCh0L8xw+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjEM4w3tr7efTXbwoKnv9JvnloLhZjwGxiN8tpr+fvfc/p0lpezb58vaKPHTPgP1YZ97lzuuCO//nWSfPGLefFF3+ZCj3nnXsx4nMXFfPzj2bEjTZPxOInxTo85BvWhmiajUZIsLWVtLefP58yZvP12BoPYFdFTgt/Y0lL3w7lzOXYsieDpK8FfTLt7X17ufp0GDz0l+I2trOSKK5ILgm8/zEPvCP5i2stslpeze3diwtN/gt/YykoX/Npa/vWvxGd4ekvwF9N+hl9ZyZVXdq8cPZoInt4S/MU0TSaTLC/nYx/rXmknPPSU4Dewvp7Fxeza1f166lSSDAZzXBFsneAvpp3wST71qe6VU6dy9mwGAwfq6SXBz2TPnu6HU6dy/PhclwL/A8FvoD1u99/BO25HHwl+Jtdc090hd/p0TpxIBE8/CX4D0wm/c2eSnDrVBQ99JPgNtMFPJ/zamglPjwl+A9MJv2NH94oJT38JfgPTCf+B4D3Nkj7ytt3YeJydO7vL6ZO88UYmkyws2NXTP4Kf1epq98Px4zl71oOu6CXBb6xtexr8G2/k9OnEcTt6SPCzml57c/x4zpyZ61JgqwQ/KxOebUDws9q7N0maJidPmvD0leBn1U744TDjcXeTrAlP7wh+Vm3w7QG89v4ZB+rpHcFvbPqw6na8J92jLF17Q+94z85qx45cfXXW15Pk6NHum+fs6ukXwc9qMMjqalf4sWM5f37eC4LNE/ysBoP3TsUfOSJ4eknws7ow+GPHcu7cXFcDWyL4TZgeqD961ISnlwQ/k/ajezvhh8OcOJF33pnvimArBL8JbfDtjbFvvjnnxcAWCH4mF0741qFD81oLbJ3gN+HKKzMcZjRKksOHExfb0TeCn0kb9uJiVla6a2+OHJnvimArBL8Ji4u5+uru53bCQ78IfhN27Xov+EOHXFdL/wh+Ez4w4X2fJL0j+E3YubMLfmEhhw+b8PSP4GfSNN08/8xnkmRhISdP5t//nu+iYNMEP6tp8E3T3Ql/9GjiuTf0iuA356qrMpnk/PmsreUf/5j3amCThvNeQG+0p+KXlrK8nKbJ4mLOnp33mmCTmokt6WzaR9ycPJk//zlLS9mzJ1dd5SlX9IzgoRBb+s2ZTLqjdE3jQnr6x4SHQnwGhUIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIf8BzC1h4f0VjNUAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOklEQVR4nO3dT6ildR3H8c9zz5nxjlNZt3vTmbsISZQ2SrQJBIM20SQtVBBCaNdQBKIgiBS0ElIEg1yobcxWbQolmoGQKLAERQUjyCBazL9yZnRmGse5557T4nk8joZzz73lnHnu9/Va3XtmFj+Y857v7zz/TjOZTALUsDDvBQCXjuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIvg5mUzmvQIqEvycNE3W1+e9CMoR/CXXzva3385g8N6vcEkI/tKaTNI0eeut3Hpr7r8/77yTpuleh4+e4C+t0ShJHnsszz2XH/0oX/pSDhzI+nqXPXzEBH9ptdv4O+/MXXdl9+688kr27ct3v5u//jUx5/nICf7SWlhIks99Lk8/nZ/9LDffnMkkTzyRn/88SZom43FGI+XzEWkm3luX3mSS9fUMhzl+PD/5SZ5/Pk88kc9+tvuEP/079vn8vwl+ftbWsmNHkpw4kU9+MpNJBoP86ld59tk8/HCWlhLZ838m+Lkaj9M03U6+afLPf+ZrX8vLL+e66/KDH+Sb38xwmMkkk0n3WQD+N95Gc9Vm3I7xpsmuXbnllnz60/nb3/Ktb+X22/PKK2maLCxkPJ73WtkOTPjLxnT3/oc/5MEHc+BAknziE7n33uzfn2uume/q2B4Ef5kZjTIcZjTKk0/m0Ue703U33pjf/CZ793ZH732qZ6ts6S8zw2F3AP8738mzz+buu7sXr7giSbfzjzP2bJEJf1manrebTPLMM/n853P99d2e/y9/yfJyVlaSZDx2MI9NEfxl7MKe19czGOSFF3LbbdmzJ48+mptvTtNkNMpgYJPPjMyHy9jCQndOLu8ez3/ttRw5kpdeype/nHvuyeuvZzhM4k5bZmTC90T7zzQe5xe/yI9/nBdeSJIbbsjdd+fb385g4BIdZiH4Hjp0KE8+mUceyZkzSfLVr+a++/KVrwieDdnS98pkkrW1rK7mhz/M73+fr389SQ4ezMGD76vdVTp8CBO+h6YX5I5GefrpPP54nnoqN9zQdd5ek9/eY+8YPu8n+N76wIf29pD+gQN55pns35+bbkrevYwH3iX4nmv/+dq7a06ezL59+dOfsndvvve97N+fpSXn7biQLV/PtXv7pumav+uurK7m8OE88EC+8Y388pcZDrs/BRN++5ju8F9/PQ89lJ/+NEl2787tt+fBB7O66rwdEfy2Mr1zfn09Bw/mgQfy6qtJsrSU3/42X/iC5rGl30amd84PBtm3L3/8Y77//Swv59prc+21814clwUTfpuaDvPf/S5LS7nxxnkviMuC4Lc1p+V4P8Fvd67A4QKCh0L8xw+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjEM4w3tr7efTXbwoKnv9JvnloLhZjwGxiN8tpr+fvfc/p0lpezb58vaKPHTPgP1YZ97lzuuCO//nWSfPGLefFF3+ZCj3nnXsx4nMXFfPzj2bEjTZPxOInxTo85BvWhmiajUZIsLWVtLefP58yZvP12BoPYFdFTgt/Y0lL3w7lzOXYsieDpK8FfTLt7X17ufp0GDz0l+I2trOSKK5ILgm8/zEPvCP5i2stslpeze3diwtN/gt/YykoX/Npa/vWvxGd4ekvwF9N+hl9ZyZVXdq8cPZoInt4S/MU0TSaTLC/nYx/rXmknPPSU4Dewvp7Fxeza1f166lSSDAZzXBFsneAvpp3wST71qe6VU6dy9mwGAwfq6SXBz2TPnu6HU6dy/PhclwL/A8FvoD1u99/BO25HHwl+Jtdc090hd/p0TpxIBE8/CX4D0wm/c2eSnDrVBQ99JPgNtMFPJ/zamglPjwl+A9MJv2NH94oJT38JfgPTCf+B4D3Nkj7ytt3YeJydO7vL6ZO88UYmkyws2NXTP4Kf1epq98Px4zl71oOu6CXBb6xtexr8G2/k9OnEcTt6SPCzml57c/x4zpyZ61JgqwQ/KxOebUDws9q7N0maJidPmvD0leBn1U744TDjcXeTrAlP7wh+Vm3w7QG89v4ZB+rpHcFvbPqw6na8J92jLF17Q+94z85qx45cfXXW15Pk6NHum+fs6ukXwc9qMMjqalf4sWM5f37eC4LNE/ysBoP3TsUfOSJ4eknws7ow+GPHcu7cXFcDWyL4TZgeqD961ISnlwQ/k/ajezvhh8OcOJF33pnvimArBL8JbfDtjbFvvjnnxcAWCH4mF0741qFD81oLbJ3gN+HKKzMcZjRKksOHExfb0TeCn0kb9uJiVla6a2+OHJnvimArBL8Ji4u5+uru53bCQ78IfhN27Xov+EOHXFdL/wh+Ez4w4X2fJL0j+E3YubMLfmEhhw+b8PSP4GfSNN08/8xnkmRhISdP5t//nu+iYNMEP6tp8E3T3Ql/9GjiuTf0iuA356qrMpnk/PmsreUf/5j3amCThvNeQG+0p+KXlrK8nKbJ4mLOnp33mmCTmokt6WzaR9ycPJk//zlLS9mzJ1dd5SlX9IzgoRBb+s2ZTLqjdE3jQnr6x4SHQnwGhUIED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIf8BzC1h4f0VjNUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "action": "('move', [1.3000865482350814, 1.9170923906228285, 26.241461252862052])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "906c1cf916ccd1bdfb90b8feab265249270d63170abfe59a2e786bf5d062efa5"} +{"episode": 14426, "episode_seed": 3046685479, "split": "train", "timestamp": "2025-09-15T22:55:30.262855", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3046685479, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "action": "('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "action": "('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "action": "('move', [10.890210620804877, 59.76501534993014, -49.438639023619146])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0fae615f5ccfa4cb4c92097eff59b257be42260cd24b94aeca66690121f90abd"} +{"episode": 14427, "episode_seed": 549686306, "split": "train", "timestamp": "2025-09-15T22:55:30.892497", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 549686306, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "action": "('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK9klEQVR4nO3dbWhWdQPH8d/1sBW4HOhEAglM6EGsMEhTsgwlk8gHCt+sh+UqDaKE5kNMcWMSscZQnCNJjDF7YeibodgDIlSSWGJF5QtrZYRW2hpaE70ezv3inF2b3NY9zXvXrvP7fl5u14sDZ9/r/z//8z9niSAIBMBDstgHAGD4EDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPKxcExT4CXCWCxxXK55VIKJcr9nHgahA8rkQQKJnUuXNKpRjnSxHBY8jCsf3ECS1erK1blUjQfMlJBJwzDEUQKJHQhQtaskRdXRozRgcP6rbblM8rybBRMjhVGIIgiC7a16xRV5cSCa1Zo0mTqL3kMMJjCLJZpdPaskUvvihJtbXatq3Yx4SrQfD4X8LJ/P79evxx9fZq9mx1damiQpISiWIfHK4MweMfhbUfP66HH1Z3t26/XXv3auLE6OcoNVyA4R+F40FTk7q7NW6cNm7UxInKZqm9RKWLfQAYwXK5KOwNG3T2rB54QA89pExGZWXFPjJcJab0+BuFFXiW4mOEE4nLCXfUffaZuruVTLLBJjYIHv8lXJA7dkyLFmnBAh05Ev0QpY9reFwqrL2nR08+qZMn9eef0RJduK8WJY4RHpcKd8g//7yOHFE6rfZ2TZ+uXI7L+HjgLKJfECiTkaS1a7V7tyTV16u6mkW7OGGVHv3CsHfs0LJl6utTdbU6O6NfMZmPC4KHpP7aP/hATzyh06c1bZr27tXYsRK1xwpTNUiS8nlJOn9eZ89q7Fi9/baqqiRqjxtGeEiSgkD5vFIp7dunigrNmsWleywRvL3Lhs2zMTHFfXhvuZxSKb35pvr6tGyZRo2KNthQe0wRvLGw9gMH9Mor6utTMqkVK5TLKc1fRWxxkeYqrP3rr7V0qfr6NGmSHnww2kKP+OLsWgrX537/XStW6McfNWqUtm/XXXdJIvh44+z6KQzj9fXav1/ptNradP/97JZ3QPCuNm7U1q2SVFenmhpqN8FtOTPh/bajR3X33ZL06KPq7NQNN0hM5i1wji1VVenZZ3XHHWpvV2Ula3U+GOH9hIN8NqtfftGECeyos0LwTs6fV2+vbrxx4CfUboaT7SGblaSGBk2bpg8/VC6nfJ7aDXG+DeTzSqfV2anWVv38s959N3prFcvyfpjSx114xX7okB55RD09mj5de/aoqorh3ROnPNbC2ru7VVurnh7dfLO2b1dVFe+os8VZj7Xwfzzv2qVvv1VFhVpbNXmyslmlUsU+MhQHz0XFWjqtIFBdnbJZJZNauJCH4cxxDQ8YYUrvIbwJB3uM8IARRnjACMEDRggeMELwgBGCB4wQPGCE4AEjBF8E4T9iZyMMhh8bb4op/GcQwLBhhB9W4bdrT49ee00//aRUSkEgvnIxbAh+WIVvmtq8WfX1mjNH7e0DL55hho9hwJR++IQT+M8/1/z5+uMP5XJKJHTvvWpu1syZSiaj5nkzBf5/+OMabmfOaNy46M0UqZQ+/VSzZumFF3T8uJJJJZPKZIp9iIgvRvhhFb5yqqdHLS3q6NDJk9FlfD6v8eNVV6enn46+DhIJhnpcewQ/3Aovjzx8WO3t6uiQpPJyXbwoSffdp+XLVV19ySeBa4XgiyAIlM2qrEy5nN5/X42NOnxYksrKlMmorEzz56uhQVOnRh+WeKM0rg2CL5psNnq73Nmz6uhQU5NOn5YUrd5VVuq55/TqqxozRlL0mlmyx79E8MUU3oQP5+2nTmndOu3erd5epVLRqt5NN2nDBi1cqNGjlc8rCNiog3+F4Itv8KR9/361tOi996RBF/bz5mnlSs2ZI0mZjNJphnpcJYIfKYIgeoV0LqeODm3erC++kPov7MvL9cwzeuklTZ58ybwAuCIEP7IUrtVPnFBHh5qb9ddf0bdAEGjSJNXUaOVKXXed1H+TDxg6gh9xCkO9pG++UWOjdu1SECidjnbm3nmnGhu1aFH0ee7eYegIfoQanPGePVq7Vl9+KWkg+8ceU0ODpkyRuLDHkBH8iFaYtGezamnRtm36/vtoE14up+uv16pVqqnRxIkSD9tiCAi+BBSyP3ZMbW3atk0XL6q8XJmMgkBTpujll1VTEw3+qRRDPf4WwZeGwuY8SQcOqLVVe/ZI/Wv4kubO1erVmjs3+rDYnIfLIfhSUnio5tw5dXVp3Tr98IOkaKNOZaUWL1ZTkyZMkKR8fuBheyBE8CUmfLQuvFbv6dHrr+utt9TbO/A4fVWV6uu1dKlGj5YGbeAFRPAlavCk/auvtH699u3ThQsDM/x77tH69Zo3T+m0MhmlUty6g0Twpa6wnrdzp9ra9Mkn0qAL+6ee0vLlmjFDYg0fkgg+BgoP1Zw5o85OvfGGTp2K1uqzWY0fr5oa1dWpqqrYB4oRgOBjInyQXtJ332nTJrW1SRp46u6WW7RqlWprJTbkeiP4+Ci8AzMIdOiQVq/WwYPK5wfuz8+cqU2bNHUqu3F9cdrjI3wHZng3bsYMffSRtmzRrbdGW3FTKX38sY4elXgltjFG+HgqLOP/9puam7Vjh379VQsWaOdOlZdzf94XwcdZYWX+4EG9846WLNHs2SzXWyP4mMvno8t4seUWBG+CUR0hgnfB3TiIVXof1A4RPGCF4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Q9BLSrc5C2PGQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "action": "('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK9klEQVR4nO3dbWhWdQPH8d/1sBW4HOhEAglM6EGsMEhTsgwlk8gHCt+sh+UqDaKE5kNMcWMSscZQnCNJjDF7YeibodgDIlSSWGJF5QtrZYRW2hpaE70ezv3inF2b3NY9zXvXrvP7fl5u14sDZ9/r/z//8z9niSAIBMBDstgHAGD4EDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSPKxcExT4CXCWCxxXK55VIKJcr9nHgahA8rkQQKJnUuXNKpRjnSxHBY8jCsf3ECS1erK1blUjQfMlJBJwzDEUQKJHQhQtaskRdXRozRgcP6rbblM8rybBRMjhVGIIgiC7a16xRV5cSCa1Zo0mTqL3kMMJjCLJZpdPaskUvvihJtbXatq3Yx4SrQfD4X8LJ/P79evxx9fZq9mx1damiQpISiWIfHK4MweMfhbUfP66HH1Z3t26/XXv3auLE6OcoNVyA4R+F40FTk7q7NW6cNm7UxInKZqm9RKWLfQAYwXK5KOwNG3T2rB54QA89pExGZWXFPjJcJab0+BuFFXiW4mOEE4nLCXfUffaZuruVTLLBJjYIHv8lXJA7dkyLFmnBAh05Ev0QpY9reFwqrL2nR08+qZMn9eef0RJduK8WJY4RHpcKd8g//7yOHFE6rfZ2TZ+uXI7L+HjgLKJfECiTkaS1a7V7tyTV16u6mkW7OGGVHv3CsHfs0LJl6utTdbU6O6NfMZmPC4KHpP7aP/hATzyh06c1bZr27tXYsRK1xwpTNUiS8nlJOn9eZ89q7Fi9/baqqiRqjxtGeEiSgkD5vFIp7dunigrNmsWleywRvL3Lhs2zMTHFfXhvuZxSKb35pvr6tGyZRo2KNthQe0wRvLGw9gMH9Mor6utTMqkVK5TLKc1fRWxxkeYqrP3rr7V0qfr6NGmSHnww2kKP+OLsWgrX537/XStW6McfNWqUtm/XXXdJIvh44+z6KQzj9fXav1/ptNradP/97JZ3QPCuNm7U1q2SVFenmhpqN8FtOTPh/bajR3X33ZL06KPq7NQNN0hM5i1wji1VVenZZ3XHHWpvV2Ula3U+GOH9hIN8NqtfftGECeyos0LwTs6fV2+vbrxx4CfUboaT7SGblaSGBk2bpg8/VC6nfJ7aDXG+DeTzSqfV2anWVv38s959N3prFcvyfpjSx114xX7okB55RD09mj5de/aoqorh3ROnPNbC2ru7VVurnh7dfLO2b1dVFe+os8VZj7Xwfzzv2qVvv1VFhVpbNXmyslmlUsU+MhQHz0XFWjqtIFBdnbJZJZNauJCH4cxxDQ8YYUrvIbwJB3uM8IARRnjACMEDRggeMELwgBGCB4wQPGCE4AEjBF8E4T9iZyMMhh8bb4op/GcQwLBhhB9W4bdrT49ee00//aRUSkEgvnIxbAh+WIVvmtq8WfX1mjNH7e0DL55hho9hwJR++IQT+M8/1/z5+uMP5XJKJHTvvWpu1syZSiaj5nkzBf5/+OMabmfOaNy46M0UqZQ+/VSzZumFF3T8uJJJJZPKZIp9iIgvRvhhFb5yqqdHLS3q6NDJk9FlfD6v8eNVV6enn46+DhIJhnpcewQ/3Aovjzx8WO3t6uiQpPJyXbwoSffdp+XLVV19ySeBa4XgiyAIlM2qrEy5nN5/X42NOnxYksrKlMmorEzz56uhQVOnRh+WeKM0rg2CL5psNnq73Nmz6uhQU5NOn5YUrd5VVuq55/TqqxozRlL0mlmyx79E8MUU3oQP5+2nTmndOu3erd5epVLRqt5NN2nDBi1cqNGjlc8rCNiog3+F4Itv8KR9/361tOi996RBF/bz5mnlSs2ZI0mZjNJphnpcJYIfKYIgeoV0LqeODm3erC++kPov7MvL9cwzeuklTZ58ybwAuCIEP7IUrtVPnFBHh5qb9ddf0bdAEGjSJNXUaOVKXXed1H+TDxg6gh9xCkO9pG++UWOjdu1SECidjnbm3nmnGhu1aFH0ee7eYegIfoQanPGePVq7Vl9+KWkg+8ceU0ODpkyRuLDHkBH8iFaYtGezamnRtm36/vtoE14up+uv16pVqqnRxIkSD9tiCAi+BBSyP3ZMbW3atk0XL6q8XJmMgkBTpujll1VTEw3+qRRDPf4WwZeGwuY8SQcOqLVVe/ZI/Wv4kubO1erVmjs3+rDYnIfLIfhSUnio5tw5dXVp3Tr98IOkaKNOZaUWL1ZTkyZMkKR8fuBheyBE8CUmfLQuvFbv6dHrr+utt9TbO/A4fVWV6uu1dKlGj5YGbeAFRPAlavCk/auvtH699u3ThQsDM/x77tH69Zo3T+m0MhmlUty6g0Twpa6wnrdzp9ra9Mkn0qAL+6ee0vLlmjFDYg0fkgg+BgoP1Zw5o85OvfGGTp2K1uqzWY0fr5oa1dWpqqrYB4oRgOBjInyQXtJ332nTJrW1SRp46u6WW7RqlWprJTbkeiP4+Ci8AzMIdOiQVq/WwYPK5wfuz8+cqU2bNHUqu3F9cdrjI3wHZng3bsYMffSRtmzRrbdGW3FTKX38sY4elXgltjFG+HgqLOP/9puam7Vjh379VQsWaOdOlZdzf94XwcdZYWX+4EG9846WLNHs2SzXWyP4mMvno8t4seUWBG+CUR0hgnfB3TiIVXof1A4RPGCF4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Q9BLSrc5C2PGQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "action": "('move', [0.9712723655933115, 1.351514124556872, -49.23739889954451])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f9882eadae0d636dc3c2aac75d3d2c4ed497de6bc631c570430e23e49b5c5f5f"} +{"episode": 14428, "episode_seed": 3014111863, "split": "train", "timestamp": "2025-09-15T22:55:31.515694", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3014111863, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "action": "('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "action": "('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "action": "('move', [-6.248644922223485, 2.643443067383125, 1.0300554023701711])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIWklEQVR4nO3cS4xedR3H4d857zttUy47VuLCFCgSEnZ2o0tupk0VQmBlDEVctI0QCha5uaDYCIKU+8LiSowmRVoEyw4DiYYVmtiW0oRo2Gg0BNrSdN45fxfTDoPRKFhmpv0+z/oszmI+87+et2utFZChX+wXABaO4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CFIYvCt1cxMtbbY7wELrmupf/jDUK3VaLTY7wELKGuEn438nXfq1Ver72s0qulpQz1BsoJvrbquHnmkrr66Nm8c9v2ppqaq6zRPiqAp/cxMjUb1+uu1dm29/34NQ1u1qr75jWHLHaMVK6pO/juAM1jQCN/3VVWvvVbvvVfDUONxd+hQd899/ZovDc/vGuZqH4bFfU34DAUF33U1DHXbbfXinnbZZW0yaVU1Hnd/+GN/zbXd19a3N9+squr7mkxM8jkzBU3p5zs+XQ8/OPzk2f7tt4eqfjSqmZkaj2vLlrrxxrrwwqqqyaTG48V+UTilEoOfm70f2N8ef7zt3Nkd/bCWLetmd+wvuqg2bWobNnQrV9ZkUqORhT1njsTgq6q1mkxqaqqq6revtkd3dLt2VVUtW1bHj1dV+8qX2623dl+/ppt7XvacAUKDnzUzU1U1GtXRo/XSS3X33XXgQFXVeFyTSZ21sl15xfDAD0arL66qE6t62XNaiw6+qlqrYThx3+7w4frRQ8Njj7W//2PUVXV9DUOdc9Zwyy21+Tv9eedVlUk+p7f04GfNH70PHar77h327Kn3P+jH4xO37i9YNdz3/X79+jrnnJqZqa47ccgHpxfBf8wwnCj51y+2HY/VK6+0qn5qqqanq6qtXdtt3FhXXVVlD5/Tk+D/1ey3dONxHTlSP39ueOihbv+B6vtu9uL9ypV1w/Vty5b64iVd2czjdCP4f29uAP/Ln9uzP63t27sPP6xRXzNDVbXPn18bNtR3t3azd3KHobpO+ZwGBP8fzd/P27ev7rmn9uyp48dP7OFX1eoLZrZtH61bW8uWV528qw9LmeD/i7lVfVXtfqHdv6298UZX1S2bquPTVTWs+2rddW+3Zk1XVdPTNR4b6lm6BP8/aa1aq76v6el69Mdt5862b39fXU2Na3q6psZt8+b2rZv7iy+uMtSzhAn+E5iZqb6vrquDb7VnnumeeHw4dnzu6K6tXt3ddFNt2lQrVnz0JCwpgv9k5t/J/f3v2vbt7VcvVFV/8k5urVlTt99e11770fOyZ+kQ/KcxN4AfO1Z7f9Pu3Nr2Hejr5J3c5cvr6quGbQ/0l1xSdfIDexd1WAoE/ynNreqr6tixevjhevLJevfdqqq+r2Go5VPDHVu7b99cnzv/xH7e7LwAFpHg/19zk/aDB2v79vrlL9oHh2tqqptMqrW26gvtzru6667rzj23JpPqe0M9i0nwp8bczvzLL7enn267d3dV3cmF/XDlFd3GTbVundU8i0zwp8wwzP5UXh05Us/vatvub/vf6qtq9ir+2We39eu7rVvr0ks/drYPC0nwp9jcndy//bU99VR78Id1+Gg/u6rvutq7ty6/3EE9i0bwp978/byDB+t7W4eX93ZHjnQ3XF8/e+6j67qw8AT/WZn/jf3u3fXEE7VjR61e7WSexST4z9b80R4WneAXwuyP5PiElkUn+AViJs9SYK65QNTOUiB4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPJPM98Y2DfPnp4AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "16cad473e217a70ec915deab3da421cb7d3fe90fcc7ab1629a7ca6d597011cb2"} +{"episode": 14429, "episode_seed": 3116870219, "split": "train", "timestamp": "2025-09-15T22:55:32.141002", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3116870219, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "action": "('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "action": "('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "action": "('move', [-1.572848401423786, 3.469378037254589, -16.975699425718584])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/0lEQVR4nO3dXYhU5QPH8d/szO6ipVKmdrGCRZElUWT0hr25q6YShoGBEYRhqbC+ECHYRURZXahZtOKqkKZooqL40taFCmHiFkqQVkRpF0WaFWW7m+7smfO/OI+zavLnvzqzZ/z/vh+82Tc4jHznec5znjMnE8exAHioSvsAAPQeggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHhUgjtM+AhcEj1TFsbq60j4IIwSPlBQKyueVySiXUyajQiHtA7JA8EhDFKmqStXVam/Xrl2aP1+trZLIvtxyaR8ALGWz+u47bd2qvXu1d686O8OXyRsByobgUWbJglwmc943Fy9WU5OOHQtfjhihMWMkKZvt3YOzQ/AojzhWoaBMJozYUaTTp9WnT/hy0CAdO6b+/TV6tGbM0D336JprJDG8l1sm5ooISitZeM9mQ70nT+rIES1frm+/1Zo1uuMOxbH++ksrVmjKFA0blvLRmiF4lM3nn2vfPm3apAMHwneamjRrlvJ5VVd3/9pF5/woD6b0KIXisJHJ6NQp7dypTz7Rxx/r11/D9+vrVV+v0aMVx8rlJIUJf/IPvYURHpfq3yNzHCuT0R9/6IYbdOqUJF13naZO1YQJuvtuDRyYznHiHIzw6LlCQXHcvaL+zz/avl0DB6qhQVGka6/VuHH6/ns1Nqq+XnV14WQ+n+8+sUdKGOHRQ8kwLqm9XUePavNmffCBfvxRDzygPXuUzSqXU3u7amvD1F1SFHUv1yNVjPD4HxQjl5TJ6OhRHTigTZu0c2fYCT9ggOrq9OefGjJEhYKuuqr7D8XV9QrCCI//KrmcnhQbRcpm1dys997T4cPhF0aMUEODxo/X2LHKZM57a0DlYYTHxRS7zWSUzaqjQ337huH6+HEdPqxMRpMna9Ik3Xefbr45/Am1VzxGeJwjifbck+3WVjU16csvtXu3Bg2SpJMntXatRo3SiBFh6p7M6rNZaq98BI9/KRR04oR27dKqVTp0SPm8JK1YoenTVSic93bAatyVhik9JJ1dXWtr08GD2rZN69fr5MnwozvvVH297r9fOueqO6txVyZGeEg6uyD39dd65JGQ+vXX69FH1dCgJ5/UgAFpHx9Kg+Ah6exqfBTpmWd05IiefVYPPqh77w0/zefD59KkcVysDJQQweOspK2ff1ahoKFDJYW3gJRSLy4XXLBugMtB8LiYKJKkqqq0htfkDCOf14IF4bNwaL4keBVxvuJOm5Qus8Vx2HT/yy+aOlWLFmn7di1YoI4OPvCuBBjhUVm6upTLaf9+NTbq0CHV1KizU9XVOnhQt9/O9P5y8eKhsuRyev99TZ6sQ4dUXa3OTvXrp2XLdOONLOCVANfhURGSobtQ0Pz5euedcFkgn9fw4Wpu1kMPpX18/y+Y0iNlxUWDn37SrFnasaP7Vp3HH1dTk4YODZ9ezfB++ZjSI02FQqj90081dqx27FBNTcj7pZe0ZYuGDg2/QO0lwZQeqSmuwK1apXnz1NYWluiGDNEbb2jaNEkX3suDy8RriXQkw3hHh158UdOnq61NuZw6OzVypLZs0bRpYSsAA3tpcQ6PFCRj+w8/qLFRLS3K5cLcfsoULV6suroLP8kapcIIj16VbJ6pqtLu3Ro7Vi0tqqlRV5fiWC+/rDVrVFenKKL2cuEcHr0n2TAbRVq5UnPmqLMznLQPGqSlSzV1qqTuD9RCOTDCo5ckj5/6/XfNnauZM9XZGU7a77pLLS2hdpboyo1zeJRdHIeb7o4c0ezZ2rNHuZyiSHGsp57Su+9q8GD2zPYSXmOUV7IfNpdTS4smTdKePeGkPZPRa69pzRoNHsxT4XsP5/Aoo+K4/fbbeuUV/f13OGkfPFjNzXriiTD4c9Lea5jSoyyKG2bb2tTYqNWrJSmXU1eXRo7U2rW69VYeG5sCJlIoveK4/c03euwxrV4d9sZ2denpp7V7d6idJ8f2PoJHiSWfbZ/Lads2jR+vzz4L2+P79NFbb2ndOg0YEB4Vjd7HlB6lVLxlfeFCvfmm2ttVXa18XnV1Wr5cEyd2b7xBKggepVF8aM2pU5oxQxs2SAq3uI8apZUrNXw4d7mmj3dalEDywPiqKn31lRoatGFDeFR0oaDnn9dHH4Xaucs1dQSPy1WcpW/erDFj9MUXqq1VV5f699fSpWpuVr9+bJitFASPy5JcaY8ivfqqpkzRiROqqdGZM7rpJq1frzlzugd/VALO4XHpktqPH9fcudq4MTxXMoo0bpyWLNFtt4WPoEXl4I0XlyLZV1NVpdZWTZyojRtVXR0uv8+erQ8/pPYKxQiPHitee1u3TvPm6bffVFurM2fUt68WLdILL4RxnpP2CkTwuBSnT2vhQr3+uqRQ+y23qKlJ9fVsmK1oBI8eO35cM2dq27ZwUT2KNH68li3TsGHc5Vrp+M9BDySjw+nT2r9f2Wx4uuy8edqyhdqvDIzw6JnkBH7fPj38sK6+WkuW6LnnurfZocIRPHosaX7rVtXWasIEtsdfSQgel6K4UM8S3ZWF4AEjzMMAIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5D8MIQDoMRzUQQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a2269e5bc7a071f261677f7ce5ed7e7da30b37463f129a8d8098eb0b861bce74"} +{"episode": 14430, "episode_seed": 1309621693, "split": "train", "timestamp": "2025-09-15T22:55:33.113294", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1309621693, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "action": "('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "action": "('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "action": "('move', [0.8039267804884931, -7.171956521963007, -15.518082420156796])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "57c5e5c3e8eacfbf3c76cdd5ad7abdad3b94402c8e1cc2751270823d4b067ccc"} +{"episode": 14431, "episode_seed": 3011795860, "split": "train", "timestamp": "2025-09-15T22:55:33.754267", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3011795860, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "action": "('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "action": "('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "action": "('move', [1.0758955230822156, -0.8138376552212221, -57.37005000709371])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b5829a5e3adfdc24f93ec0a3414799baa9387623c648f6a7044c124f66b2ca30"} +{"episode": 14432, "episode_seed": 1210111430, "split": "train", "timestamp": "2025-09-15T22:55:34.395950", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1210111430, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "action": "('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "action": "('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "action": "('move', [2.5596025838367154, 4.190673041398049, 6.3266997556635545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2271d7fbc9150ca02e8996e2211dc44b9250d045298e4e5ab939ecef8a4f8899"} +{"episode": 14433, "episode_seed": 2842792478, "split": "train", "timestamp": "2025-09-15T22:55:35.384463", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2842792478, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "action": "('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "action": "('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "action": "('move', [0.6871699710970026, -1.2541637964254289, -53.84967559798784])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d248c71cfd7b119c5ea26005dea327fd1280799d9ff1c30309d1644ef4ec0bec"} +{"episode": 14434, "episode_seed": 1573582399, "split": "train", "timestamp": "2025-09-15T22:55:36.015514", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1573582399, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "action": "('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "action": "('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFUlEQVR4nO3dTYhV5QPH8d+5L46WLWRAmxhIUWtklMYYaxZahkgEJSbWKpLaFfTiJkh0I0IvuInIqFwEtahNCwVpoVjWaKImZqnZi1Car5DiOHa7L+e/OE+T/3/wx5w7c557f9/P6s5hFg/M/c7znHPPeW6SpqkAeCjkPQAA44fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgW0OjoUYj70Gg9SVpmuY9BlyvalWFgorFvMeBlsUMH7s0VZrq++917pzKZRWL4l80bhgzfGtYtEjVqmbP1mOPadmy0HyS5D0stJpS3gPA/5OmShIdP66DB3XlivbuVXe3li1TraZyOe/BoQURfNQaDRUK2rVLtZqKRXV0qL9fYm7HjSL4qDUaKha1e7cqFUnq7tbcuRLB40Zx0S5eaapiUZWKvv02HJk+XTNnhv8CwA0g+Hhl6/ljx3TmTDgyZ45KJdVquQ4LrYzg45XdafP11zp9WpImTdLAgCSmd9w4go/dwYNhSu/s1L33SpzAYxQIPlJpqnJZQ0M6diwc6erSjBmq11Xgj4YbxXsnUtl6/ocfdORIOJKt54HR4GO5SGX30v34o377TYWCkkSLFklieseo8PaJUfaBnKTDh0P55bLuu0/iBB6jQ/CRShJduqR9+ySp0dCcOZo2Le8xofURfIyyWf3cOR04oCRRkmjx4pyHhPZA8PE6cULnz6tcVpoSPJqD4GOUXZnbvVuS6nVNnKj58yXxJDxGi+AjValocFCS6nX19WnKlLwHhLZA8NHJpvGhIQ0OqlgMH8jdfLPEJXqMGsFH6uBBXb0aNrQaGFCSsIklmoDgY5Sm+vxzSapWNXmyZs0KB4FRIvgYJYl27pSkNFV/v267LRwERong45JtYnfxoo4eDYX39amzMzwbD4wSb6K4ZOv2PXs0PBxez5unJFG9nu+40CYIPi7Zlbldu/THH5I0bZp6eiSemUGT8D6K0Z494cXs2ZozR+IEHk1C8BFpNFQq6exZnTwZjsyerSlTVK0SPJqD4COSree/+kpnz0pSsai+Pr5kBs1E8BHJgt+/X0NDktTZqf5+JQkn8Gga3kqxSFOVSpL+3tNq2jT19ytNCR5Nw1spFlnYJ07o+PFwpKdHEyaoVmM9j6Yh+Fhkn7QfPaqff5akQkELF4YXQLPwbopFNo0fParhYSWJJk4Mu1YyvaOJCD4K2a6Vf/6pQ4fCj52dmjePE3g0Ge+mKGS30J85owMHwpGBgXAND2gigo9C9mH7yZM6ckSlkpJEDzyQ95jQjgg+Ctm6/Ztvwus0DSfwQHMRfBSSRNVq2MSuWlV3t6ZPz3lIaEsEn7+RTey++CL8uHixJk6UuESPZiP4WJw6pV9+UbksSQsXqlRiTys0H8HnL5vGv/wyFF4o6O67JTaxwxgg+Fhkm9hVq7rzTnV15T0atCmCj0K9rsHBMNUvWKCpUyVO4DEGCD5n2br9yBGdOxc+nJs/XxMmqF4neDQfwecsC37HDtVqkjRpUtjTihN4jAWCz1m26cW+fUpT1evq7tYdd0g8JIexwe3aOcvCfv559fZq2zb192vGDIkTeIyNJGXtCNhgho9CmqrRCA/JMrdj7DDDxyV7ThYYI1waigu1Y0wRPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgge1+BZ6XZH8JAkDQ9Lfz2dm+2zh3ZE8JAqFa1cqeXLdfy4JBUKqtWY7dsSO954y3bY2b5dS5dK0pQpeuklrVoVvvumXlexmO8A0VzM8JD6+vTqq5o5U7//rpdf1rJl+ugjNRoqFpnn2wwzPP5y+LDeflvvvRe+E2PlSj33nBYuDCf2bL7VFggeUpqqVgtfVb1jhzZs0GefSdLSpdq6VR0dajRUKLDDZhtgSQ8pSVQuq16XpCVLtHWrNm3S9OlasSJ8zV32dRlcw299zPC4RpoqTUPeQ0Mql9XRIUkXL2rtWj3xhAYGJKlaVanEbN+KCB7/cO3SPVvMv/ii3nhDN92kF17Q009r1qzw1Rlcw281LOnxD9dO3dnrefPU26vhYb3yih59VO+8E74lh+V9q2GGx/X56Sdt3qw339SVK5K0ZInWrdP994clAFoEweM61GoqlSRp/36tW6dPP5WkyZO1fr1Wr1atFj6xTxJO7CPH/2Zch1IprN77+7Vtmz74QLffrlJJc+eGX0iSMM9nl/oRK2Z4/Bsj1/NOndLevVqxIhz59VcdOqSHH5a4hh81gse/N5J99qJS0SOPaPt2PfusnnlGvb3/9fEeYsKfBP9ekihNVa+H7K9e1fnzSlO99ZaWL9frr/99rw4iwwyPUWs0dOGC3n1XGzfq0iVJuucerV+vBx/Me2T4XwSP5jl2TGvWaNs2VSrq6NDjj2vjRk2dGlb4XMOPAOsuNEM2bfT06JNP9OGHWrBAlYp27tSFC+GePK7hx4EZHk2VtX3lijZsUE+PVq0K5/OnT6urS0miajU8loc8EDya7dp9crKV/OXLeughdXVp7VrdddffxzHuSnkPAG0nu+tu5OY8SR9/rMFBSdqzR089pTVrNGkSzeeCGR5jZiTpy5e1ebNee01nz0pSb682bNDy5TQ//rhohzEzEvMtt2j1au3dqyef1OTJ+u47bdkisQ1+DpjhMS5GJvMtW/T++9q0Sbfeygw//gge4yW7Oa/EZaM8ETzGV62mQoGbcPJC8Bh3rOTzw0U7jDtqzw/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8Bf6ygXX7LzfQAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFUlEQVR4nO3dTYhV5QPH8d+5L46WLWRAmxhIUWtklMYYaxZahkgEJSbWKpLaFfTiJkh0I0IvuInIqFwEtahNCwVpoVjWaKImZqnZi1Car5DiOHa7L+e/OE+T/3/wx5w7c557f9/P6s5hFg/M/c7znHPPeW6SpqkAeCjkPQAA44fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgW0OjoUYj70Gg9SVpmuY9BlyvalWFgorFvMeBlsUMH7s0VZrq++917pzKZRWL4l80bhgzfGtYtEjVqmbP1mOPadmy0HyS5D0stJpS3gPA/5OmShIdP66DB3XlivbuVXe3li1TraZyOe/BoQURfNQaDRUK2rVLtZqKRXV0qL9fYm7HjSL4qDUaKha1e7cqFUnq7tbcuRLB40Zx0S5eaapiUZWKvv02HJk+XTNnhv8CwA0g+Hhl6/ljx3TmTDgyZ45KJdVquQ4LrYzg45XdafP11zp9WpImTdLAgCSmd9w4go/dwYNhSu/s1L33SpzAYxQIPlJpqnJZQ0M6diwc6erSjBmq11Xgj4YbxXsnUtl6/ocfdORIOJKt54HR4GO5SGX30v34o377TYWCkkSLFklieseo8PaJUfaBnKTDh0P55bLuu0/iBB6jQ/CRShJduqR9+ySp0dCcOZo2Le8xofURfIyyWf3cOR04oCRRkmjx4pyHhPZA8PE6cULnz6tcVpoSPJqD4GOUXZnbvVuS6nVNnKj58yXxJDxGi+AjValocFCS6nX19WnKlLwHhLZA8NHJpvGhIQ0OqlgMH8jdfLPEJXqMGsFH6uBBXb0aNrQaGFCSsIklmoDgY5Sm+vxzSapWNXmyZs0KB4FRIvgYJYl27pSkNFV/v267LRwERong45JtYnfxoo4eDYX39amzMzwbD4wSb6K4ZOv2PXs0PBxez5unJFG9nu+40CYIPi7Zlbldu/THH5I0bZp6eiSemUGT8D6K0Z494cXs2ZozR+IEHk1C8BFpNFQq6exZnTwZjsyerSlTVK0SPJqD4COSree/+kpnz0pSsai+Pr5kBs1E8BHJgt+/X0NDktTZqf5+JQkn8Gga3kqxSFOVSpL+3tNq2jT19ytNCR5Nw1spFlnYJ07o+PFwpKdHEyaoVmM9j6Yh+Fhkn7QfPaqff5akQkELF4YXQLPwbopFNo0fParhYSWJJk4Mu1YyvaOJCD4K2a6Vf/6pQ4fCj52dmjePE3g0Ge+mKGS30J85owMHwpGBgXAND2gigo9C9mH7yZM6ckSlkpJEDzyQ95jQjgg+Ctm6/Ztvwus0DSfwQHMRfBSSRNVq2MSuWlV3t6ZPz3lIaEsEn7+RTey++CL8uHixJk6UuESPZiP4WJw6pV9+UbksSQsXqlRiTys0H8HnL5vGv/wyFF4o6O67JTaxwxgg+Fhkm9hVq7rzTnV15T0atCmCj0K9rsHBMNUvWKCpUyVO4DEGCD5n2br9yBGdOxc+nJs/XxMmqF4neDQfwecsC37HDtVqkjRpUtjTihN4jAWCz1m26cW+fUpT1evq7tYdd0g8JIexwe3aOcvCfv559fZq2zb192vGDIkTeIyNJGXtCNhgho9CmqrRCA/JMrdj7DDDxyV7ThYYI1waigu1Y0wRPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgge1+BZ6XZH8JAkDQ9Lfz2dm+2zh3ZE8JAqFa1cqeXLdfy4JBUKqtWY7dsSO954y3bY2b5dS5dK0pQpeuklrVoVvvumXlexmO8A0VzM8JD6+vTqq5o5U7//rpdf1rJl+ugjNRoqFpnn2wwzPP5y+LDeflvvvRe+E2PlSj33nBYuDCf2bL7VFggeUpqqVgtfVb1jhzZs0GefSdLSpdq6VR0dajRUKLDDZhtgSQ8pSVQuq16XpCVLtHWrNm3S9OlasSJ8zV32dRlcw299zPC4RpoqTUPeQ0Mql9XRIUkXL2rtWj3xhAYGJKlaVanEbN+KCB7/cO3SPVvMv/ii3nhDN92kF17Q009r1qzw1Rlcw281LOnxD9dO3dnrefPU26vhYb3yih59VO+8E74lh+V9q2GGx/X56Sdt3qw339SVK5K0ZInWrdP994clAFoEweM61GoqlSRp/36tW6dPP5WkyZO1fr1Wr1atFj6xTxJO7CPH/2Zch1IprN77+7Vtmz74QLffrlJJc+eGX0iSMM9nl/oRK2Z4/Bsj1/NOndLevVqxIhz59VcdOqSHH5a4hh81gse/N5J99qJS0SOPaPt2PfusnnlGvb3/9fEeYsKfBP9ekihNVa+H7K9e1fnzSlO99ZaWL9frr/99rw4iwwyPUWs0dOGC3n1XGzfq0iVJuucerV+vBx/Me2T4XwSP5jl2TGvWaNs2VSrq6NDjj2vjRk2dGlb4XMOPAOsuNEM2bfT06JNP9OGHWrBAlYp27tSFC+GePK7hx4EZHk2VtX3lijZsUE+PVq0K5/OnT6urS0miajU8loc8EDya7dp9crKV/OXLeughdXVp7VrdddffxzHuSnkPAG0nu+tu5OY8SR9/rMFBSdqzR089pTVrNGkSzeeCGR5jZiTpy5e1ebNee01nz0pSb682bNDy5TQ//rhohzEzEvMtt2j1au3dqyef1OTJ+u47bdkisQ1+DpjhMS5GJvMtW/T++9q0Sbfeygw//gge4yW7Oa/EZaM8ETzGV62mQoGbcPJC8Bh3rOTzw0U7jDtqzw/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8Bf6ygXX7LzfQAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "action": "('move', [1.674580093337356, -1.6778371778611467, 36.41328329180919])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d78a89167d038fbaf929d6634cd2578d12d2472b084621d51539b685e8cab1a9"} +{"episode": 14435, "episode_seed": 2281961166, "split": "train", "timestamp": "2025-09-15T22:55:36.639975", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2281961166, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "action": "('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "action": "('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIOklEQVR4nO3dv29b5R7H8a+PrTTNDyWpkMIAgqWoHbqBGNmZGfof8C8wIITEyMDIP8CKYEXAhLogsbLRhYkllDaO4yTHvsM5dXxve6VeUeybfF4vWZHlNPY5St95nufYPh7M5/MCMjTr3gBgdQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQUbr3oCrYD6vqhoMLm+ZzS5v777VXeD/22C++F+bptvx7mvTXN7Ytpe3dxk3jZi5Hq5j8IuS5/M+107bXsbcNP3lBUu+uKjBoIbD/sd//72Ojqptazqt8/N69Kju3q233von9gZeousSfNv20+yu8ObFjk3MZnV8XNNp7e3VxkZV1aNH9dNPNZnUyUmNxzUe15MndXxcf/1VH3xQ779fs1kNBnX/fn3/fZ2d1Xjc39XHH9dnn/0z+wYvzXVZww+H/fDbefKkHj+uo6Majeru3ZrNqmnqwYP68ccaj+vx4xqPazKp09M6Pq7hsL74ou7dq6p6+LDu36+Tk+c8xMFBH/xoVA8f1p9/9o9761bduFG3bq1kP+FvueLBd5P2s7P6/PN68KCm037E7mbaJyd171599121bTVN/fBDffrp8+/njz/64EejfkVweFh7e3VwUHt7tb9fu7v13ntVT1f7X35Zx8e1u1ujUW1s1GhUr7yykh2Gv+WKB19PF+TffFO//PKc7776atXTSl97rQ4P6/CwDg76y/5+//XOnf6u7typ336rGzf6dUE3ceiudHfSfX377RXtHbxUV3wN3x2Za5r66KP6+ed6883a3a39/X5w3tmp11+vd999+cfYu8dd5mk5roIrHvz/6r/t7HKry/9Gw1wv1yX4i4t+PV9LlXZXXvCIPQS4LsEDL8DoB0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEH2o+r/l83RvByo3WvQGsWtvWbFZNU4NBDQbr3hpWazD3dx5iGOGDtG0Nh/Xtt/XVVzWd1v5+ffJJ3b7dD/gkEHyQbjL366/19ddVVdvb9eGHdfu2xXwQf9jjHB7WzZs1GtXOTp2dVZXggwg+zuZmVdXFRU0mdXq67q1htQQfpDsmv7XVr9jPz2syWe8WsWqCj7O93Qd/dtaP8Kb0OQQfZDHCD4dVVW1rhI8j+DiL4Kus4eMIPs5y8N0Ib0qfQ/BxtreN8LkEH6Rbwws+meDjPLuG9xaaHIIPMhjUfF6bm/8ZvBfS5/CrzjKbVdVzRnjH7UIIPlH36tqqmkxqPjelDyL4RNvb/ZXptC4uBB9E8IkWwZ+e1nS61k1htQSfaGenvzKd1vl5ldfexBB8lm72vgh+MjHCZxF8okXwp6f9OTAIIfhEywftuik9IQSf6NkpvTV8CMEnWh7hTemjCD7R8tNygo8i+EQO2sUSfJbFO2S7K4JP44MoEi2Cb1unps9ihE/UreEX564lh+AT7excfnSs4KMIPlE3wnfBe2ltFMEn6kb4bt0+Hlc5y1UMwWdZfvNMF/zJyTq3hxUTfKLNzRo9fX6mC95p7UL4PSdqmrp5899GeFP6EIJPNBjUzk4f/OLj5TwVn0DwiQaD2t6+HOHbdt0bxKoIPtTi5fQnJ3VxsdZNYYUEn6hpLt8wZ4SPIvhE3Rq+Y4SPIvhQi+DHYyN8EMGHWj7LlRE+h+BDWcNnEnyo5eCN8DkEH+rZ4L3wJoEz3oTa3a3hsJqmzs76z5AmgeBD3bhRbVttW0dH3hIfRPCh3nij3nmnH+cXR+y59gZzS7dIk0kdHdXWVm1s1NaWd8ulEDwEMaUPNZ/3h+UXZ7MkgREegngeHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8Cw+ntdTvuz4mAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKSUlEQVR4nO3dT4ic9R3H8c/OzO4mxZA/VdKW2ujBYqApIoJCDzlIoRWh2EgRchA1DRQNEijSqqhgkYZQ6yHUVKl/aNpCtQQqgqKeQjyIHgTrLYqIhUKIMWaT7O7MTg/PY+LBlmhmdyf5vl4sy2Z2M7MT5s3v+f3ml+eZGA6HAWroLPcvACwdwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfSW+xc4HwyHSTIxceaWhYUztzffaj5gvE0MT79qq2meePO50zlz42Bw5vYm405HzFwYLsTgT5c8HLa5NgaDMzF3Ou3HWZbc72diIt1u+9c//DBHjmQwyOxs5udz9Gg2bsx3v7sYzwZG6EIJfjBoD7ObwjtntzaxsJDjxzM7m9WrMzWVJEeP5sCBnDyZEycyM5OZmXz6aY4fzyef5Oabc8MNWVjIxERuuSWvvJK5uczMtHd1//15+OHFeW4wMhfKHL7bbYffxqef5tixHDmSXi8bN2ZhIZ1ODh7Ma69lZibHjmVmJidP5tSpHD+ebje//302bUqS997LLbfkxIkveIi1a9vge728914+/rh93HXrMj2ddeuW5HnCOTnPg28O2ufmsnt3Dh7M7Gw7YjdH2idOZNOmvPxyBoN0Onn11Tz00Bffz3/+0wbf67UzgvXrs3p11q7N6tVZsyarVmXz5uSz2f7jj+f48axalV4vU1Pp9XLxxUvyhOGcnOfB57MJ+f79eeutL/juN76RfFbpt7+d9euzfn3Wrm0/1qxpP195ZXtXV16ZQ4cyPd3OC5oDh+aL5k6az9dcs0TPDkbqPJ/DNytznU5+9au88UYuuyyrVmXNmnZwvuiiXHpprr129GvszeN+nrflOB+c58F/Wf/ryX6+1c//jIa5sFwowff77Xw+n6u0+eIsV+yhgAsleOAsGP2gEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8OeB06csmJ9PPrvsDXwFgh93zYl8hsPcdlu2bk2/n07nf56qC/6/8/+stRe04bA9p/699+aZZ5Lk1Kns3ZtvfevMGb3g7Bnhx1dznbvmMhm//W16vfR6efnl/Otf7XfhyxL8+BoO0+vlz3/Or3+dyckk6XazZ09++MN22Icvy6tmTDUXy3nxxdx5Z3vhvH4/992XbdvaC1vCV+CsteOoOZI/cCA33phjx9Lrpd/Pjh157LH2uhuC56sR/Nhpan/nnfzoR/noo0xNZW4uW7dm374k1uo4J4IfL83k/IMPcsMNeffdTE5mfj4//nGefz4rVyauhcO5MYcfI828/d//ztateffd9HqZn8+11+bZZ/O1ryVq55wJflw0Y/snn+Suu3LwYKan0+9n06b8/e+55JIsLKidERD8WGiW4hYWcs892b8/K1ZkdjYbNmTfvnznO+3ID+fO62gsNAsp992XJ57I5GROncratXn22Xz/++0aHoyE4Jdfsz1+9+7s2pVOJ/1+LrooTz2VzZszHKqdUbJKv8yaAfypp3LHHen12mP7PXuyfbvtdIyeF9Ry6vfT7Wb//tx1V7rdLCxkMMgDD2T7dtvpWBRG+GXT76fXyyuv5Gc/y9Gj7Xa6u+/O737XHskLnpET/PJojuTfeitbtuSDDzI9ndnZ3Hprnnkmw2F7YA8jJ/hl0EzO338/N92Ut99uN8/eeGP+8Y9MTdk8yyIS/FJrej58OD/5SV5/vT2S/8EP8s9/Zt06tbO4HDguqWbD3MxMbr89r7+eqan0+7n66vztb2pnKQh+6TQz8+EwO3bkhReycmXm5nLFFfnTn3LppRkM1M6iE/wSaZbikvzyl3n66UxP5+TJXHJJHn88V13Vvj8Hi03wS6TZD/+b3+TRR9PtZnY2K1bkD3/I9de378/BErBotxSaN+H27s0vfnHmfDV792bbNtvpWFJGlkXX7KJ57rns3Nm2PRhk165s2+Y/xrDUjPCLq0n69Ha6bjeDQe65J7t2qZ1lIPhF1EzO33wzN998Zjvdz3+eP/6x/QHL8iwxwS+WZgA/dChbtuTtt7NyZU6ezJYt2bcvK1aYurM8BL8omp4PH85Pf5oDB9rNs5s357nn2vNVqZ1lIfjRa/5Fm/H8pZfazbObNuWFF7Jhg+10LCcDzYg1PU9MZPv2vPRSu3n28svz179mwwbnomSZCX6UTh8t7diRv/ylPZL/+tfz9NP53vfaU1nBMvICHJmm9omJPPhg9uxJt5u5uUxP58kns3mz7XSMBa/B0Wi2ys/N5ckn88gj7Xa6yck88URuuimDgdoZCxbtRqNZeD90KNddl8OH20tEPfpodu60Js8Y8UocjYmJLCzkm9/M7t1Zsybz87n//uzcad7OeDHCj8zp99uefz7vvJN7783kpDV5xovgR+n0ut3pPwqesSJ4KMT8EgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeCvkvxFGlSdXxkyoAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "action": "('move', [-3.041762320581547, 3.019866960309549, -44.406625217967274])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f427a6a30754a016bd9f072ec258af11626089fc57a673153b9d2971a3aa5e0d"} +{"episode": 14436, "episode_seed": 1160416740, "split": "train", "timestamp": "2025-09-15T22:55:37.261593", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1160416740, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "action": "('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "action": "('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "action": "('move', [-8.375467380794735, -5.81156035332788, 47.09338743176793])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG1ElEQVR4nO3bP6jd5R3H8e/zO+fmD01bxSJqwSVdHEK0W9EhtGK7ejEUt5KlwWqxmIIxSXMXAwkKdZQGioWgIBhdYlcHl9alBZdsdTJoHUIIeO85v6fDvdy2izb1JucePq/XeM7yLO/zfX7fc07rvReQYVj0AYA7R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZLmDH8eazxd9CFgeyxp877WxUcNQk0n1vujTwJJYyuB7r3GslZX6+ON6662tV4CvtXzBj2O1VpNJvfHHcXW1nn66rlyp1mo2W/TJYNdrfXmGY+/VWlXV1at18sXxvffafGyt1cMP1+XL9eCD1XsNy/cJBnfOcvQxjlu1b2zUa78fH/vR/J3LQw2tqnqvmzfr+vWtzwLgKyxB8JvLudbqo4/qZz/tz/9m+OyLyXSl5rO667v9+V/P//LXOnSoxtF4h6+xq6/041jjWNNpXbtWr79e587Vl1/WdLr5uN4fe7SvrbWfPG6yw/9q9wa/PbHffbdeeaV/+GFrraYrtbHev3dPvfBCf+654VsHaj6vyWTRZ4UlsRuD317OXfu0nzndL7053LxZe/bU+npV1epqnT7VH/lhq1I73JrdFfzmWTZrv3Spn3qp/+OT1trWcu6+++r8+Tp6tPbvr/m8WvPQDrdmuugD/NtsVtNpVdXVq3X65Pj2O1U1rKzUxkbt29efeqpduFD3319lsMP/a1dM+N5rPq/ptK5frz+9Ma6ttX9+0VZWajar3vvhw/3UyTr686H++woA3KrFB7+9nPvggzp/vr//ft8e7Pv3jc8+2078tt17r6kOO2DBwW/u527cqJdfrosX6/PPa3uwHzlSZ8/UkR+3+o/bPvBNLDT4XtXqz1fGF0/W3/4+VG19x/6db4+/O9uOHWt33205BztpkcH3Xr96pv/hYs1mbfMOP5nUE0/Uq6/WQw9VVc3nW7+xA3bEIoNfX6+9e6uqhqHGsR882E6cqOPHt97d/jYe2CkLfjI+cKBu3Kje+7FfjC+dGg7+oG3v4dUOO26hE36j9u7phw+NZ9eGJ1ct5+C2W2RefawzZ9rxXw4PfL9t/gFW7XBbLXhpt3lvt5yDO2MX/fAGuN0WHzxwx5itEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEORfq0dA4ZYDmbQAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a4232ad9a3a41cf157f4bd11c1fe6609fe62a33cbc79ba9549d1d8a2b6718ae9"} +{"episode": 14437, "episode_seed": 3106777614, "split": "train", "timestamp": "2025-09-15T22:55:38.245657", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3106777614, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "action": "('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "action": "('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "action": "('move', [1.6129365397046873, -1.402350867189897, -26.725272255526622])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ac3da121e632da5719b5f4454e463f684375fcea03f84e33852ace39e47edb12"} +{"episode": 14438, "episode_seed": 3445540692, "split": "train", "timestamp": "2025-09-15T22:55:38.871722", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3445540692, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "action": "('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJYUlEQVR4nO3czY9V5QHH8d/MMEarOIIWKAaQaKOiJFVLFRRjE7vqomuXbky66LpJF135R/gHGFf+CW4k4ksLqUoatYICLU7FoRpA8WVeurg3c4fpVFszMgO/zyc3ZDJn7p0zyf3e85znOYexhYWFAB3G13oHgCtH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FybFhbWeg/WpQ1rvQOwmubns7CQ+fls8NZeydiCT0KucoPC5+eTZHJy9P35+Ywbwl5O8FytFg/mSyP/7LO8916OH8+RI3niifzmN5mby8TE2u3lOmPcw1Vj6bFpbGx49J6YyMWLOXo0R4/m2LGcOJETJ/LRR0ly7lx+/etMTGRhIWNja7PP643gWacGeQ/+HbS9NNovvsgbb+TVV/Paa/nww5w9m5mZ0daJiczN5c03Mz2dHTsyPy/4IcGzjiwsjB6DWbfFUC9dyuef5+238/LLOXQob7+dL77Il1+u/DqTk9m4MVNTmZu7Qnt+tRA8a28w5TY/n4mJy863P/kkZ8/mxIm89loOH86f/pSvvhptXXbQnprKli25/fY8/HAefTT79+e224abTN0tMmnH2hjMtw3efUuX0D76KMeP5/33c+zY8Mz80qXhpsHHwddfj35406bcdVfuvDP33ZeHHspDD2XLlst+hZH8MoLnilo8M1961J2ezl/+kjffzDvv5G9/y7vv5vz54aaxsUxOZm5uNDi/6aY88EAeeCB79uTuu3P33fnJT0YvNTubJOPjGRtT+woEzw9lse0V2zt7Nq++mjfeyJEjOXMm09P57LPR1omJ0fE/yQ035JFH8sgj2bcvu3dn+/bLjuSzs8PfMj5u9P4dBM8qG4zVk8vOxhcW8vXXOXcur7+eQ4dy+HBOncrFi6Ph+jKTk7nppvzsZ3n88Tz+ePbsycaNufHGy15wdnYYuYP5/07w/FBmZ3PuXGZmcuxYXnklhw7lr38dfhb8p7GxbN6czZvz05/m0Ufz2GP5+c/zox8t/7HFp4v8+xE8q+z8+Rw9mvfey5EjOXIkb7012jSYnBucZg9s35477sju3cMpt1/8Itdfv/wFF9+h67fwpcuJgxXF9bqvgmfVDE6k338/Dz6YixeH39ywIePjl02tb9+evXtz//25997s2ZP77svNN4+2Lh2or2uLeSdX0bW7gmc1DU6t77wz09OjG1qSbN2ahx/O/v3Zuzc7d2bHjtxyy+hZ33yTZDjlti46X3YR73e6dCmnT+f06XzwQc6dyzPP5Lbb1ueqoAtvWGWTk9m/Py++mC1bcuBAHnssBw5kx45MTV026zY3N7ybbbDwtgaWXru7OMs/sGKog0+v8fHh7TiHD+f553P2bI4fz6ef5vPPR5f+HTiQJ54QPNe+wTv8D3/I73+fvXuXl7w4gT8+vvyiuitnsIiXDM+0V2zywoVcuJCvvsrMTD74ICdP5tSpvPNOtm7Nc89laipJ/vznPPfc6Cnj47nxxtxyS6am/usVv+uAIT0/uCs967ZsCm0wi7biAv3Fi/n005w/nzNnsnNn7rln+Jn0xz/m+efzj38sX1TYsCEnT+b225PkpZfy7LPZtCm7dmXnztFj27Yr8Td+X47wrL5B4Yt5X+mB7bcs2X35ZV56KR9+mJmZfPxx/vnPTE/nX//K8eN56qm88MLwGsDp6Zw+nSS33pqtW0ePbdtGE4y//GWefHKFXzG4NW/9DeYHBM/qW+N3+4UL+fvfh49Tp3LmTJ5+OgcPDucMfve7nDy5wrPm5zM7O1w5/O1vc/Bgtm3Lpk3DywM2b14+RhhcDDhYVFj6WN/X+gmea86vfpVTp4b30w4W/e+6KwcPZm4u112XjRuzcWPuvz+7dmXXruzenTvuyNat+fGPR63u25d9+5a/7Ozs8L/XWTp0ue66K/VXrQ7n8FxzZmaGR9rBxODgi8UyL10advst04aLt/ItDs7X8Sj9/yJ46g0m9q6VpL+d4KHIup5gAFaX4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIvwGKRSZZ4rrZAwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "action": "('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "action": "('move', [2.9698406413329113, -0.6705853914033887, -1.9304906313692527])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "872bd0d666747706c0e2de75480001b3254a484e46533a157d0f028951148f44"} +{"episode": 14439, "episode_seed": 3751261439, "split": "train", "timestamp": "2025-09-15T22:55:39.500811", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3751261439, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "action": "('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "action": "('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIrklEQVR4nO3dS4sc5QLG8ad7Jk7GTLwRExE1mjHuBd0IggvxswiC4MaNX0dwqYg7wS+g4E44EmOI8Y63XMxMerr7LLoySbyEs3CcQz2/H03orvQk75D8eaverqmaLJfLAB2mhz0A4N8jeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieJJkdzez2WEPgoO3ftgD4HAsl5lMsrOTd9/Nxx/nP//JCy/krbcyn2dt7bAHx4GZLJfLwx4Dh2CxyHSaa9fy4ov59NMkefnlfPhhZrMcOXLYg+PA2KUvNZ1mby/HjmV7O2trmU7z22+ZzUzvIyf4XotFkpw8mfk8i0UuX85332U6HbYzSoLvNZkkyenTw8vLl3PpUpI4yBsxwffaD/7ee5Pk11/z1VeJ4EdN8L1WwT/55BD89etm+PETfK/pNElOn86xY8OWr79OBD9qgu81mWSxyMmT2dwctnz3XZKsr2t+tARfbfVp/KOPDi9/+CFXrmQ6FfxoCb7a6jD+6aeHl99/nx9/PMThcOAET7a3hyf7wZvhx0rw1VbrdmfODCfY/fST4EfOD8+Q7e1hoW4+t0s/cmb4aqtj+NXp9CurT+am/l+MlH9Yct99OXlyOIX+4sXM5xbqR0vwJLct1F+8mCtXDnUoHCTBkyRnzw5PLl0S/JgJnuTmJ3OTSS5cGIK3Sz9Kgm+3CnsV/Pp6rl3L5cuHOyIOkOBJbu7SrxbtVz8zt3rOyAieJDlxIhsbmc+T5IsvEsGPlOBJknvuyZkzQ/Dnz7vK1WgJniTZ2MhTTw3Pz5/PjRuHOhoOjODbrXbdNzeH4CeTW8FbqB8fwZMkk0nOnEmS9fVcuJCdncMeEAdD8AxH7Psz/GIxnFHP+AieYdf91Kmh9iTnzh3uiDgogmc4jL/vvjz0UPb2EsGPl+AZ3H9/HntseC74sRI8wwz/wAN5/PFhy+rcG8ZH8AyOH79jhveZ3CgJnkwmw6H7KvjJJFev5qefnF07QoInublQ/8gjw8vZbNirN8+PjOBJbh7GnzqVjY0sl5nNcv58EifVj43gSW4L/sSJJNnbs243ToInuS34hx9OkuVymOHt0o+M4Bkslzl5cgg+yZdfDhsZE8GTJNNp9vZy9OiwS5/k558zm926Xj3jIHgGf1iov3Il33yT6dS63agInsHqMP6JJ4aXV6/m4sXEXv24CJ7BfvBbW0ly5YrgR0jwDPaDP348SXZ2BD9CgmewCv706SH43LxeteDHxO2iGazW506cyNbWEP8PPySxUD8qZnhumc8zmeTEiSyXWS7z1Vf57besrVmoHw8zPLesbgv/yit54IE880yefz4bG4mbUozIZOkQDWrYpYcigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocirloL/5b9C8befuXY5TKTyXDB4IMnePjf/DnX/UqXy8znf/3O9fU73rb6qsO77rfLVMNdre7CMZn8Y5XeuJHd3VuPq1dz/HieemqY6g+YGR7uan9+vn49OzvZ2cn167l2LWtr2d4e7tTx7bd5//1Mp/n991y/Pjx2d/PLL3n99Tz3XJL88kvefDOff575PDduZDbLbJbFIteu5cUX8/bb2dvLkSMH/d0IHv7GYpHpNG+8kQ8+yN5e5vPhkWR3N9vbeeednD2bJJ99lldfzWTyF3fefOmlIfjlMh99lPPn/+IvunDhIL+NOwge7urrr3Pu3B1b1teT5OrVzGbDls3NnDqVo0ezWGRtLevrWV/PsWNZW8sjjwzv2drKa6/l4sU89FCOHs3mZjY3c++9OXIkTzxx6489YI7h4W+sDqrfey+ffJLjx4dKV79ubOTBB/Pss9naSpLd3fz4Y7a2srGRzc3DHvfdCB7+Uas7796+kr+/FPfnu/Du/9a/tW4veLir+TyLxR1Brp7/4cPz/Y7+v2+1K3go4tRaKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJf0HO/5jJ9avEAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "action": "('move', [2.931134767591615, -1.2802494330557281, -47.869577793637205])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFhUlEQVR4nO3aT24TVwDA4Td2Qmy6Q0LiNEi5DCfgfnAETsCaLYsSOzgzXThKQzAqLSWt+H2fnkZPY8kzm5/e/JuWZRlAw+q/PgHg8QgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgof/2LKMZXmkY5090nHgl3O/0rv5X+xcxv20V6sxTWOaxuqxVl7Bw2nzPOZ5jG/kehfqcTJNP3SsZfnRf/hO0/JoFxPwK7q5Gfv9w7Hbjevrsdvd37nsP8373bLfj/3naXe9ur6e9vtxfT3meXz8OF69GpeX4+ZmrNc/8Wyt8PDQPI/Varx7N968GYfDcvVp2f0+X31adrtxtZuu9tPVfnU4TJ8/j8NhHLd3k29vp2WZxrhbxx8u6C9fjsvLMc+Ch8d1czNWq/H27Xj9eowxzfMY40GF/+z6+/Sd+mo15nmcPUqLgofT1uvbe/jvy/uLW+NpmtbrsVrdjrv5ycnFxTgclufPpzF++p284OG0Z8/Gixfj7Gw8eTLW63F+Ps7OTm83F8v24rC9GJvN2D6dNk9X29+m7XZsNmOzGdvt7fh6vtmM8/Pj0W5D/9nrvId28NDxmfmHD+P9+3F+PjabcXHxxdhs/rUXafN8+xbg+MD/ZxM8/G3HT2WOrd4FNI0/r/3vpzt9tfPkr49D8HDaMek7/4dcf5zgIcS39BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkDydmza3SbdwNAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAFhUlEQVR4nO3aT24TVwDA4Td2Qmy6Q0LiNEi5DCfgfnAETsCaLYsSOzgzXThKQzAqLSWt+H2fnkZPY8kzm5/e/JuWZRlAw+q/PgHg8QgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgof/2LKMZXmkY5090nHgl3O/0rv5X+xcxv20V6sxTWOaxuqxVl7Bw2nzPOZ5jG/kehfqcTJNP3SsZfnRf/hO0/JoFxPwK7q5Gfv9w7Hbjevrsdvd37nsP8373bLfj/3naXe9ur6e9vtxfT3meXz8OF69GpeX4+ZmrNc/8Wyt8PDQPI/Varx7N968GYfDcvVp2f0+X31adrtxtZuu9tPVfnU4TJ8/j8NhHLd3k29vp2WZxrhbxx8u6C9fjsvLMc+Ch8d1czNWq/H27Xj9eowxzfMY40GF/+z6+/Sd+mo15nmcPUqLgofT1uvbe/jvy/uLW+NpmtbrsVrdjrv5ycnFxTgclufPpzF++p284OG0Z8/Gixfj7Gw8eTLW63F+Ps7OTm83F8v24rC9GJvN2D6dNk9X29+m7XZsNmOzGdvt7fh6vtmM8/Pj0W5D/9nrvId28NDxmfmHD+P9+3F+PjabcXHxxdhs/rUXafN8+xbg+MD/ZxM8/G3HT2WOrd4FNI0/r/3vpzt9tfPkr49D8HDaMek7/4dcf5zgIcS39BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CHkDydmza3SbdwNAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6f37625a8f6c3fedc986edbae60552220b208b9d0a817a88fc1e68c6913d81f0"} +{"episode": 14440, "episode_seed": 309327683, "split": "train", "timestamp": "2025-09-15T22:55:40.477292", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 309327683, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "action": "('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "action": "('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALK0lEQVR4nO3dX4gVZQPH8d/MnNW1zTfUJYOS0qi0i5UtCSTDUlOyi0wt7Z8oWRCFmXTRRRBBEESwgWSgbGsFS8FqJq4YKUS2YWkrLFFBBGHl1mqGa0LrnnPmvZhht/clc//ZmTm/7wcv9OzNI/j1ec4z88wEcRwLgIew0gMA8O8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCF6SFMeVHgHwbyB4KY4VBJLU3V3poQAXl33w5bIkxbGamnTzzdq3L/0jUI28gy+XFQQ6d07PP69nn1V3t7ZskaQ4pnlUpUKlB1A5caww1NmzevppNTdL0p136tVX09STRT5QXYLYcypL/ta9vVq7Vrt2SdLq1dq8WfX1FR0WcHFZLukHVux1dZo1S1GkjRvV0qL6epVKlR4ccBH5zfClkqJo8DenT6uzU3PnqrZW5bJCy/8BYcMp+DhWqaRCQe3tGj9eixYNXpCT/uf3QJWymdAGat+5U2vWaNkyffyxgmBweU/tMGATfBCoUNCWLVq7VqdOadIk1dQM/gjwYBD8wHeWF17QM8/ozBk1NOiDD3Trrel1eMCGwXX45NaajRv1xhuSNH++Wlo0fTpbdDBU1cEnE/iJE3rySbW1SdKyZWpu1uTJ1A5P1fuPfmA37rff1NUlSY89ptZWTZ6c3mMH+KnSy3ID19iSmfyzz9TRoU2bFEVcfoOzqgs+mdjDUEeOaNYs1dUNrt65/AZ71bWyjeM07927tXSpVq3Sn38qDNPPRe1wV0XBJ7fWRJG2bdMjj+jECR09qm++SX8UhtQOVEvwyUq+UNDLL+uJJ9Tbq1mztHOnGhvZogMGVMVluYF9uE2b1NQkSXPnavt2XX89l9+Av8p/8Entp09rwwa9/bYk3XWX3nxTV1yhYlGF/P8FgbGT89mvXE5PsO/bl9b+0ENqa6N24G/l+bJcskWXbL9Leu45nT2r11+XxEoe+Fu5DT6ZwH/8UdOm/f+PuLUGOI98ToPlsgoF7dmje+/Vu++mnyS/xMV24LxyOMMnE/g772jjRp06pRtvVEeHLruMy2/ABeWqkIEJvKlJjz+uU6c0Y4a2blVdnSRqBy4obzN8sagXX9RLL0lSQ4Pee08zZ1Z6TEBu5GpW7OnRhg1p7fPna+9ezZzJK2KAoctJ8EnVzc3pU2tWrNCOHbrySp5RBQxLrpb0X32ldevU0KDXXtPEiYNPmAcwNLkKXlJ3tyZNUm0ttQMjkKvg//ooC1bywPDlKnjx1BpgVPJ2vITUgVHIyS49gLFA8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCH4jIpjXpOJsZe359IbKJUk8R4tXBTM8JkTRYoi9faqr6/SQ0HVIfhsOXdOXV3avFkPPqg9exTHKpcrPSZUEZb0WZG8KbOnR089pYMHJSkItGIFwWMsMcNnRRCoWFR9vaZMUU2NCgV1durbbxWG6bd6YPQIPiuS12TW1mrlSkWRikX98ova2hQETPIYMwSfIWGoONbSpZo+XZLKZR04oLNnVVPDJTqMDYLPkGT1PmmS7rhDYagg0Jdf6pNPJLGqx9gg+GwJQ0lav16FgoJAZ87owIF0Pw8YPf4dZUuyqm9sVGNj+tV992799JPCkG/yGAMEn0VxrEcflaSaGn33nQ4dqvSAUC0IPouCQPfco4kT06/ura06dy6d/IHRIPjMSa7PTZmiBx5QHCuK1N6uH36o8KhQHQg+i8plRZHuu09xnN6Q09ZW6TGhKhB8FiWT/OzZuukmFYuStH27yuX0c2DECD6LgkClkurrtXKlJEWRvv9e+/dzlgajRfDZFQRasED19SqXFcdqaVEQsG+HUSH4jEouvDc2av789Ok3Bw/q+HFFEZM8Ro7gMyrZqxs3TgsXatw4SerpUWurxG22GAWCz65CQXGs5ct19dWS1N+vjz5SX5+iiIU9Rojgsys5SzN1qubNSz85fFiHDnFCHiNH8JmW3F338MOaMEFhqN9/14cfMr1j5Ag+05JDcgsW6Npr087b23X8uAoFtu4wEgSfD2vWpLfZdnXpiy8qPRrkFsFnXXJ33erVqq1N/7h7t/r6OEuDkSD4fJg2TXffrVJJYai2NnV3V3pAyCeCz4Hkxpt16yQpivTHH2pvl8St9Rg2gs+HINCcOZo5U/39CgI1N7Nph5Eg+HyIY02dqvvvVxwrDHX0qA4f5oWTGDaCz4Hk8JykhQv1n/+kh+S3buWR9Rg2gs+H5HbaOXM0b156eO7AAZ08yV49hofg8yE5S3PJJVq0KP3k55+1a9fg5A8MBcHnxsB7aWbMkKRiUTt3qlRirx7DQPC5kZyZueEG3XJL+klnp44cURimj8ECLojgcyMI0sl81SqNHy9Jv/6qffuY4TEMBJ8nyeNulizRNddIUhBo/36dPMlZGgwVwefPhAlavlySwlCff56epSF4DAXB50zyHMt161RTI0n9/dq7V+Vy+ngc4J8RfM4k3+Svu063356+Vfb993XsWKWHhZwg+Lxavz49IX/8uD79tNKjQU4QfP4kS/fbbtNVV6lYVBBo2zbeS4MhIfj8ScK+/HKtWpWepeno0Ndfc5YGF0bwuVQqKYq0dGn60LtSSW+9xQyPCyP4XEr26mfPTrfugkA7dqi/v9LDQuYRfC4lt9lOmaIlSxTHKhR07Fg6yXOWBv+A4PMqWcAvXqz6evX3a+pUUseFBTH7PLmVHIx/5RVdeqkWL9b06elb6IDzIfjcSzbwgKEg+GqQXJAbOE4HnA/BA0bYtAOMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyX1jY17V55JGbAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "action": "('move', [-2.2441087226564576, 2.153028572794785, -34.391238821099364])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0804b7091f2a412708a38ef6e4dcb19d7b23b355df46ea6e95370019044125d3"} +{"episode": 14441, "episode_seed": 2345456237, "split": "train", "timestamp": "2025-09-15T22:55:41.105851", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2345456237, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "action": "('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALH0lEQVR4nO3dXYhcd/3H8c/MJGiLicUHqMRaayqVEtKbKAZFtAQ1sdDGYIQaaiuKCYig1uZCL3IRpYiXgRYlbZRiomtK1bYBrUIRCtJSHxAfKhWJQWqWuMlq6KY7M8eLMzR/82+6yTbZ3cn39boKk5tDTt7zPQ+/c6bTNE2AGrqLvQHAwhE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgmUvTpGkWeyO4MATPXDqddDpJZH8JEDxnNxhkdjYPPJCdO9M06XQ0P+6WLfYGsFQNBun18sQT+cxnMjOTJF/7WrrdJKOBzxgy4TmLdp5fe21uuilJvvnN7NqVpslwmOFwsTeOeRI8Z9EO8ze9Kd/6VjZvznCYu+/O17+eXi9xPj+uOo09x8toT92PH8+2bXnkkSxfnt27c9ddp/+KsWLC87I6nQyHueKK3H9/PvShzM7mq1/NN76h9jEleObS7WYwyBvfmL17c+ONmZ3N/v05eTJxYD9+HNJzbtqL9n/7W3bvzs6defvbR5fuXrxLzzgQPOfs/x7Gn/HnuFc3HhzSc87a8/l+P4NBOp0cPZrNm3P//dbhjRELbzgf3e4o79nZ7N6dhx7Kz36WlSuzZYvgx4IJz3lqF+QsW5Y77sj11+fkydx2W37843Q66fcXe+OYg3N45qW9hvf009m6Nc8+m5Urc+BANm5Mv59lDhuXLsEzX23zTz2VLVty+HBe//ocOJANG9yiX8oc0jNfvV4Gg6xbl4MHs2pVjh3Lrbfm4YdH1/ZYkgTPK9Drpd/PunWZmMiVV2ZyMv/4R5LRMzYsPQ7pecXaY/uf/zx//nN27Bhdrm/X57VP2rBkCJ4L4f+ftz/3XK68UvNLjUN6LoT2Xl07PJom992Xj340v/3t6DyfJcOE58Jp5/zUVK67LpOTWb06Dz6YtWvN+aXDhOfCaef8a16Te+7JZZfl2WezdWv++Edzfukw4bk4vv/93HZbXngha9bkRz/K296W4XD0Fh0Wjx3ARTAc5uMfz3335fLL8/vfZ8uW/P3v6Xatt190guciaNfefOIT2bMnr351fvObbN6cv/418VDdIrPsmYugfSvGYJA77sgLL2T79jTN6DTewttF5Ryei6m9Pr9/f9avz1vfevo0XvaLRPBcZC+23dZ+7FguuyyXX+4a3qLwL85F1t6ra1+Sc+RItmzJzTdnejrdrvX2C0/wXHxt851ODh3K44/nscfyyU/mX//S/MITPAui10vT5FOfyle+kiQPPZQdO8z5hSd4FkR7Gt/rZdeu3HlnkvzgB/nsZzM56UdpF5LgWSgvvgzv7rvzxS8myZEjpz9nQbhKz8JqL87/5z/5znfy4Q9n9WqX6xeS4FlwbsIvHt+sLLgXb8sbNgvOhIdCTHgoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBM8F0DR+IW48eE01F8xgkCS93mJvB2dnwvNKDYc5ejR/+Ut6PbUvdYLnlep2s3NnPvjB7NqVp55Kv7/YG8TZOaTnlTp8OGvX5sSJJLn99uzdm27X78ctUSY889eetO/ZkxMnsnx5er184APpdjMYqH2JEjzz1DTpdjM5mYmJdDqZnc0735lNm8z2JU3wzFM7xvfty+HD6XSybFk2b84b3pB+38+9L132DPMxHKbbzdRUJiYyHGY4zDXX5NZb0zQu1C9pgmc+2uB/8pP87nfpdtPp5CMfyZvfPPqcJcvO4by1Y3x6Oj/8YU6dStNkxYp8/vOjs3qWMvuH8zYcptPJk0/m0KH0emma3HJLrrkmict1S53gOT/teO/3s29f+v10Oun18oUvxHqOsSB4zlvT5E9/ysTE6Jb7TTflhhvS6RjvY0DwnJ827L17c+rUaEXd5z6XTseEHw+W1nIe2kU1//xnrrsu//53hsO87315+OGsWOH6/HiwizgP7XS4996cODHK+9OfzooVGQzUPh7sJc5VO95Pnsy+fel00u9n3brceKO1tONE8Jyrdi3tt7+dI0fS6aTbzS23ZNUqa2nHiR3FOWnH+PR0JibS72c4zNVXZ9s2i23GjH3FOen30+vl0Ufz61+PCt+0KVdfneHQ4vlxInjm1jRZtizPP5+JiTz/fJomV1yR7du9uHL8CJ65tWtpf/WrPPro6N77hg1Zs8azceNH8Myt202/nwMHMjMzulz3pS+NPme8WHjDHNrLdX/4Q97znkxPp2ny/vfnF79Y7M1iXnxFM4f2Hvv+/Tl+fPRs3F13pWmspR1LJjxzaJpMTeXaazM9ncEg73pXfvrTvPa11tuMJROel9NWvXdvpqZGZ+zbt2flytFlPMaO4JnDzEzuvXe0lnbNmmzYIPUxJnjOqn2/xXe/m8OHk6RpsnVrrrrKeB9jgueltQfzMzN54IHRr0dddVU+9rHTf8U4EjwvrV1Le+hQnnxy9H6LTZvyjneMPmdMLVvsDWApapfQNU3278/MTJK87nW5/XazfeyZ8LyE9vU1v/xlHnts9Nr59evz7nd7VGbsCZ6X0P5W3MGDmZoajfQ770yspR1/Ft5wpna8P/NM3vveHDuW4TDr1+eJJxZ7s7gQfGNzpnakHzyYycnRAfyXv2wt7SXChOd/tP8djh/P9dfn6NE0TdauzeOPW0t7iTDhOVOnk+99L889N3r0fccOtV86BM+ZTp3Knj1JMhhk9eps3JjE8fwlQvCc1r6X9sEH88wzo/G+bVve8hY/MnHpsPCG09qD9nvuGb2sbtWq3HxzYrxfQnxvM9K+Xv6RR/L006NPNm7MDTdYS3tJcZWe/zEzM3pUJsmrXpXlyxd1a7jQBA+FOKSHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5L0BIBjhPhYVoAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALH0lEQVR4nO3dXYhcd/3H8c/MJGiLicUHqMRaayqVEtKbKAZFtAQ1sdDGYIQaaiuKCYig1uZCL3IRpYiXgRYlbZRiomtK1bYBrUIRCtJSHxAfKhWJQWqWuMlq6KY7M8eLMzR/82+6yTbZ3cn39boKk5tDTt7zPQ+/c6bTNE2AGrqLvQHAwhE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgmUvTpGkWeyO4MATPXDqddDpJZH8JEDxnNxhkdjYPPJCdO9M06XQ0P+6WLfYGsFQNBun18sQT+cxnMjOTJF/7WrrdJKOBzxgy4TmLdp5fe21uuilJvvnN7NqVpslwmOFwsTeOeRI8Z9EO8ze9Kd/6VjZvznCYu+/O17+eXi9xPj+uOo09x8toT92PH8+2bXnkkSxfnt27c9ddp/+KsWLC87I6nQyHueKK3H9/PvShzM7mq1/NN76h9jEleObS7WYwyBvfmL17c+ONmZ3N/v05eTJxYD9+HNJzbtqL9n/7W3bvzs6defvbR5fuXrxLzzgQPOfs/x7Gn/HnuFc3HhzSc87a8/l+P4NBOp0cPZrNm3P//dbhjRELbzgf3e4o79nZ7N6dhx7Kz36WlSuzZYvgx4IJz3lqF+QsW5Y77sj11+fkydx2W37843Q66fcXe+OYg3N45qW9hvf009m6Nc8+m5Urc+BANm5Mv59lDhuXLsEzX23zTz2VLVty+HBe//ocOJANG9yiX8oc0jNfvV4Gg6xbl4MHs2pVjh3Lrbfm4YdH1/ZYkgTPK9Drpd/PunWZmMiVV2ZyMv/4R5LRMzYsPQ7pecXaY/uf/zx//nN27Bhdrm/X57VP2rBkCJ4L4f+ftz/3XK68UvNLjUN6LoT2Xl07PJom992Xj340v/3t6DyfJcOE58Jp5/zUVK67LpOTWb06Dz6YtWvN+aXDhOfCaef8a16Te+7JZZfl2WezdWv++Edzfukw4bk4vv/93HZbXngha9bkRz/K296W4XD0Fh0Wjx3ARTAc5uMfz3335fLL8/vfZ8uW/P3v6Xatt190guciaNfefOIT2bMnr351fvObbN6cv/418VDdIrPsmYugfSvGYJA77sgLL2T79jTN6DTewttF5Ryei6m9Pr9/f9avz1vfevo0XvaLRPBcZC+23dZ+7FguuyyXX+4a3qLwL85F1t6ra1+Sc+RItmzJzTdnejrdrvX2C0/wXHxt851ODh3K44/nscfyyU/mX//S/MITPAui10vT5FOfyle+kiQPPZQdO8z5hSd4FkR7Gt/rZdeu3HlnkvzgB/nsZzM56UdpF5LgWSgvvgzv7rvzxS8myZEjpz9nQbhKz8JqL87/5z/5znfy4Q9n9WqX6xeS4FlwbsIvHt+sLLgXb8sbNgvOhIdCTHgoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBM8F0DR+IW48eE01F8xgkCS93mJvB2dnwvNKDYc5ejR/+Ut6PbUvdYLnlep2s3NnPvjB7NqVp55Kv7/YG8TZOaTnlTp8OGvX5sSJJLn99uzdm27X78ctUSY889eetO/ZkxMnsnx5er184APpdjMYqH2JEjzz1DTpdjM5mYmJdDqZnc0735lNm8z2JU3wzFM7xvfty+HD6XSybFk2b84b3pB+38+9L132DPMxHKbbzdRUJiYyHGY4zDXX5NZb0zQu1C9pgmc+2uB/8pP87nfpdtPp5CMfyZvfPPqcJcvO4by1Y3x6Oj/8YU6dStNkxYp8/vOjs3qWMvuH8zYcptPJk0/m0KH0emma3HJLrrkmict1S53gOT/teO/3s29f+v10Oun18oUvxHqOsSB4zlvT5E9/ysTE6Jb7TTflhhvS6RjvY0DwnJ827L17c+rUaEXd5z6XTseEHw+W1nIe2kU1//xnrrsu//53hsO87315+OGsWOH6/HiwizgP7XS4996cODHK+9OfzooVGQzUPh7sJc5VO95Pnsy+fel00u9n3brceKO1tONE8Jyrdi3tt7+dI0fS6aTbzS23ZNUqa2nHiR3FOWnH+PR0JibS72c4zNVXZ9s2i23GjH3FOen30+vl0Ufz61+PCt+0KVdfneHQ4vlxInjm1jRZtizPP5+JiTz/fJomV1yR7du9uHL8CJ65tWtpf/WrPPro6N77hg1Zs8azceNH8Myt202/nwMHMjMzulz3pS+NPme8WHjDHNrLdX/4Q97znkxPp2ny/vfnF79Y7M1iXnxFM4f2Hvv+/Tl+fPRs3F13pWmspR1LJjxzaJpMTeXaazM9ncEg73pXfvrTvPa11tuMJROel9NWvXdvpqZGZ+zbt2flytFlPMaO4JnDzEzuvXe0lnbNmmzYIPUxJnjOqn2/xXe/m8OHk6RpsnVrrrrKeB9jgueltQfzMzN54IHRr0dddVU+9rHTf8U4EjwvrV1Le+hQnnxy9H6LTZvyjneMPmdMLVvsDWApapfQNU3278/MTJK87nW5/XazfeyZ8LyE9vU1v/xlHnts9Nr59evz7nd7VGbsCZ6X0P5W3MGDmZoajfQ770yspR1/Ft5wpna8P/NM3vveHDuW4TDr1+eJJxZ7s7gQfGNzpnakHzyYycnRAfyXv2wt7SXChOd/tP8djh/P9dfn6NE0TdauzeOPW0t7iTDhOVOnk+99L889N3r0fccOtV86BM+ZTp3Knj1JMhhk9eps3JjE8fwlQvCc1r6X9sEH88wzo/G+bVve8hY/MnHpsPCG09qD9nvuGb2sbtWq3HxzYrxfQnxvM9K+Xv6RR/L006NPNm7MDTdYS3tJcZWe/zEzM3pUJsmrXpXlyxd1a7jQBA+FOKSHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5L0BIBjhPhYVoAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "action": "('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "action": "('move', [0.23000890173528274, 1.4193499365153455, -37.29584617281122])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7f9298e9a73baeca688652a859da97e7aee5a1ca23a6f7b46898fe51f163f1dd"} +{"episode": 14442, "episode_seed": 3730026126, "split": "train", "timestamp": "2025-09-15T22:55:41.732819", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3730026126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "action": "('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "action": "('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALI0lEQVR4nO3d36scZx3H8c/uOYGU1B8JLRYCYhWlRmgCSTWYEolELFh/UC0hRkKq1Qu98R/wyn+iKsFGaTT4g1hpWtqLKlIjtbZqW+wpGGgivbAmPZpW25zdHS9mtV6Y5pzk7M7ZfF+vq7BXQzLvPDPPPPNMr2maADX0uz4AYHoED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQi+LWiabo+AgoQ/JrQNBmNMhjInsnqNU6xtaT91+j1uj4OrlJG+DVhcTGHDuX7389wmF7POM+kCL5jw2GS/OAHOXIkd9+dHTvy2GNv/A6rS/Ad6/UyGuXw4czP58KFnDuXjRtd0jMpgu/SYJB+Pw88kIWFDAbp9fLZz2bLlvHvsOqcVp1pmvHt+g9/mFdeSZKNG3PnnUnS6xnkmQjBd2Y0ytxc/vjH/OIX418+9KHs3Jnh0PDOpDizOtNOxR8/nhdfTL+fdety4MA4dcM7EyL4brTD+1/+kp/9bHxh/653Zd++NE3m5ro+OK5egu9GewP/61/nqacyN5emyZe+lPn5rg+Lq53gO9AO46+9lu9+N0lGo7zlLTl4sOvDogDBd+aZZ/LII5mfz2iUAwdyww2Ju3cmTPAdaKu+9943ltMdOmRFLdPg5ZkONE3+9re8+9355z8zGuW22/LjH2fDhvGNPUyOEX7aRqP0ejl8OK+8kn4//X4OHMiGDePXZmCiBN+Bf/0r3/tekgyHufnm7NnT9QFRhuCnql0wf//9OXVqfNP+iU9k8+YMhx6/Mw2Cn6p2kfzRo3n99SS54YbccUeaxnQdUyL46RkMMjeXkydz8uR4eL/11mzbluHQkhumRPBT1TT5yU/y0ktJcs01OXgw/b65OqZH8FPS3qWfOpWf/3z8y0035ZOfTNN4N47pca5NSXv3/uijef758eL5u+9O4tk7UyX4aWiH8fPnc9994z2trr8++/cnMbwzVU636XnyyfzqV5mfT9Pk4MFs3Nj1AVGP4KehvWg/fDjD4Xi0v+suT+PogOCnoWly+nSOHcvcXAaDfO5zec973LrTAcFPXLt4/p57cuFCkszNZf/+rF9v8TwdEPzE9Xo5fz7HjiXJcJgdO3LrrePfYcoEP1ntMP6jH+WFF8YT8nfckeuus/M83bCkc4LaObmmGX80LsmNN+b22z17pzNGmQlqV9c98kj+8Ick6fXykY9kyxbvxtEZwU9Qu8bmpz/Nyy+n18u11+bQofHv0AnBT0r7btzCQh58MEmaJtu2Zffu8Y700AnBT0o7J/fggzl9evxK3Be/aGynY4KfiNEo/X5eeinHjo0j37w5+/YlFs/TKWffpDRNnngijz8+3nn+y1/ONdd0fUyUJ/iJ6PfTNLnnniQZjbJhQ77whSQWz9Mxwa++turnnsuJE5mby3CYffvyznd2fVgg+Mn5zncyGIz/vH9/5uctnqd7gl9l7fC+uJijR9PrZTjMnj3ZsSMxXcca4BxcZe27cffem7/+dfxhmTvvzNvfPt6RHrol+NX32mu5774kGY1y00257TaL51krBL+alpbGi+cXFsY7z+/dmxtvtHietULwq6ZpxhvafPvbOX8+STZtyuc/b3hnDRH8qmk3ou7389Wvji/jb7klt9xi8TxriO/DT8Trr+fppzMa5YMfNMKzhgh+9SmcNcsl/epra/cfKWuQ4CfFIM8aJHgoRPBXzBdkmB2Cv2LttXu7Ky2sbYK/Yn//e3o9j9qZCYK/XO1l/Kuv5pvfzIEDefTRrg8ILk3wl2s0SpJTp3LkSI4ezZ//nHgWx1on+MvV3ro//XTOns3112fPnkTwrHWCvyztR94vXBhfye/alXe8I/HwnbVO8Ffg3Lk8/HCaJh/9aK69drz3Baxhgr8CzzyT06fz1rdm27bkP3f1sIYJ/rK0I/kDD6Tfz/bt+cAHEnvWMQOco5frwoUcP57RKNu3Z9MmH3xnJjhHr8DXvpa9e7N7d9fHAcvlffjL0v6lmaJj1hjhL0u7ndXSUkYjz96ZIfNdH8CsabezOXs2TZPrruv6aGBljPAr1H4+6siR7NqVu+5KrK5jlhjhV6Id3psmDz2U55/P5s1J7ErLDDHCr0TTZH4+zz47/tDE/v2JqTtmieBXot3l4rHHcuZM1q3Lxz+eCJ5ZIviVmJvLaJTHH0/TZOfO8TffBc/sEPyyDYfp9/PCC/ntb5Pk0582XcfMEfyytXn//vf505/S72fv3vEEHswOwS9bOxX/7LMZDLJ16/h6HmaKx3LL1o7nn/pUzp7N1q1529u6PiBYMWvpV+J/vxrnC3LMIJf0K9EWvrSU4VDtzCLBL9tgkN/8Jq++mvl5S+uYUYJftjNnsmtX3vve/PKXyX8W1cNMMWm3DO00x4kTGY2yfv14g1r72zCDnLXL0+vl+PH0etm6Ne9//3gRDswaZ+2ltLPxL76Yp55K0+TDH05sUMusEvyltC/MPPRQXn45mzaNX5gxacdsEvzyPPxwRqO87325+WbX88wuJ+6bal+Ab6/n163Lxz7W9QHBFRH8m2rv1RcWcvZslpbymc8k5ueZYZbWvql2xm5xMU8+mYWFfOUr7t6ZaYK/FGvmuYq4Or2U/9beTtfDLLPS7lJOnsy5c9m+fbzADmaZEf4i2judf/wj3/hGbr893/pW1wcEq0DwF9EGf+ZMfve79HrZsiW9ngV2zDrBX0T77O2JJ7K4mM2bs3Vr4iMzzDzBX9zSUk6cyPx8du8e72DnCTwzzhn8/7Qj+eJi7r8/g0F27sz69RkMPJ9j1pml/3/asOfm8vWv57nnsmvXGz/CLLPwZhkGg8z7n5GrgfP44pomg0H6fbVz1TDCX4qltVxFTNpditq5iggeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wYi1p6h2drIbAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "action": "('move', [-3.4790218418891072, -8.230957803516153, 2.8799488706499026])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0f8471cb7a0dfeeb595e5d08108a91921d96f0ea8f4f20a434b2f75b01c54caf"} +{"episode": 14443, "episode_seed": 3949357899, "split": "train", "timestamp": "2025-09-15T22:55:42.359202", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3949357899, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "action": "('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "action": "('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJRElEQVR4nO3dO4hcZR/H8f/MbGI0ZnNd09m5EXzBYMCUapfCW+UNlCBBxUIEg42lEizES6VRg5ogiI2d4qWwlaCimMoiQYkimsvmskazM/MWZ95NjJi8ZC8z7u/zYTg8J9mEswnfOed5zuxMq9/vF5ChPewDABaP4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4Edevz/sI2DpEPxo6/er1Rr2QbB0CH6E9XrVatXhw3X6dJVTPfNA8COp36+ZmWq368CB2rat7ruvjh+vVkvzzJHgR1K3W2Nj9ckndfvt9d139dFH9fXXwz4mlgLBj5h+v3q9Ghurt96qe+6pQ4fqmmtq79667TbzeeZO8KOkSbrdrueeq0ceqampuu66ev/9euCBwXwe5mZs2AfA//R61W7X1FQ9/XS9/npV1dattXdvTU7WzEyN+Z9iHjjDj4Zut3q9qqrPPx/Uftdd9eGHNTk5mM/DfGj1LfwOXbdbnc4g+Ha7nnmmfvmldu+uTse8nfkl+KFqlug6nTpwoG64YZC3yFkwLumHp3mq7XTq7bfr7rtr795zd9q73eEeGkuVM/yQNEt0VbVrVz37bJ05U5s31xdf1PLlzvAsHKtBw9BM2qen66mn6rXXqqpuvrneeaeWLasqtbNwnOGH5Oefa8eO+vDDqqq77qo33qiJiWEfE0ufOfzi6ver36/9++uOOwa1P/FEvfdeTUwMVulhIQl+EfX71e1Wq1Uvv1xfflnLltULL9Qrr9QVV5yb0sNCckm/KGbX4ZpXyP7wQ+3YUQ89VA8+eO72Oyw8wS+85uzd69Xx47Vu3eAXT5yo8fFB/1bpWCxOLAus2612u06dqu3ba9u2Onx4cGE/Pl79frXbamcxCX4hzcxUp1M//lj33FP79tX+/bVvX7Va1eu52c5QuA+/MGZ/rP2bb+rhh+urr6qqnnyyHn+8+v0aG1M7Q2EOv5A+/bQefbQOHqxOp55/vnbuHPYBkc4l/QJobrbv2VP33lsHD9batbVvX+3cObiSh+Fxhp9Xs/fYvv++tm6tY8dqcrJ2765bbx2s3rmSZ6gEP39mXzzTLMi9+mq9+269+WZdf/3gxfMwbIKfJ03tp05Vp1MrVlRVtVp1+nStXGlBntFhDj8fmjvq335bd95Zr7xy7kV1K1d680lGijP8PPn443rssTp0qDZsqM8+qxtvNGlnBDnDz023W91u7dlT999fhw7VxES99FJt2jSYtKudEeOFN3PQVP3ii/XUU1VVk5P1+ut1yy3DPiz4R4K/XLNLcRs31vLltXlz7d1bmzZZomOUmcPPhw8+qC1b6tpr/Vg7I07wczYbudoZeYKfD81HO6udkSd4COKkBEEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEPyfeH4x/F+9LPyetVvX7f/nc9+Y96Wffmf6CXRgub2K54Pr96nYHnxw/2//5TwSzu7DQBH/5fv21du2qDRtqzZpavbpWraqrrqqVK89tm8Hy5Zf4ezwjsGgEfzmaj5P6+uu66aYLf2vVqlq1qsbHa3z83GB8vK6+ulavrtWrB7vNuNldvfrSb2nfTBwaF8wX/j6Gf2IOf/mOHKlWq5YtG3wGfK9X3W6dPFknT9ZPP/3jnxobqyuvrKuuGmxXrDg3Xreu1q2rtWsHg/N316ypTmcRvzeWKMFfvl6v1q+vM2fqzJnBul2zhndxMzODJ4WLGBurZcsGj9nxihW1YUOtX18bNgwezbjZbtxY4+Pz+M2xNLmkv3z9fs3MVK9XJ07Ub78NHkeOnNs2j2PH6o8/6uzZOnu2ZmYGg7Nnq9udh2NopvetVm3fXm++6ePtuARn+MvXXM9X1cRETUxc7Ct7vTp6tI4erWPHBoNmfORIHT1aU1M1PV2//z7YNo9mPDtvv/hhtFq1bt1gDBch+Pkxe510/gXT7LjdHlyEX8Sff9aJEzU1Ndg2gxMn6vjxwRSg2b1gMD09uFJYuXIhvi2WGpf0i6H5N75ge/5up/N/rck1Z/7p6Tp9+i/bkydry5b6z38W6vhZMgQ/Ei7yXDD7jNBuu2JnrgT/r3F+/3/f7XQ8HXBpgocg7uFAEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8CXnJ0bTC+Yd0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "action": "('move', [-6.246320026718177, 56.65438494770502, 45.218440053542395])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIiElEQVR4nO3dz49ddR3H4c+5c6czVRtCAgRtGjbsEGL7F0gEZAIhGOwCa7BlCsQ2lCYSYiCadIULIKBiKcEFtAGaSDWtJqKEJYa6NYWFlbAgkKo1aYB0pvee4+JM6sbVdH7c8n6e1V2eZM5rPud8z/ee23RdV0CGwXofALB2BA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBH8Z6Lr1PgK+KAR/GWjbGo/X+yD4Qmg642OC9X+cpln63H+AZTPhJ1fbVtNU09Sjj9bhw2pnBQzX+wD4/8bjmpqqc+fq4Ye7V16pK65oNm+um2+urquB/9Isl0v6STQa1XBYH3xQu3d3b7/dzMzUwkJdf329805ddZXmWT4TfuL0tb/7brdrZ/fe+4Pp6VpYqCuuqP376+qrq23VzvKZ8BOk65am9/HftQ882J3559T0dF24UNdd1z3/y7rjTjfxXCrDYlL0i/CDQR38VXvv9y7W3m3b2h471txxZzMarfchcvkT/EToF+THbT3xRLdvX51fnBoO68KF9tu3tMdPNNu2LV3nwyVySb/++pjPnau9e+vIkZqaqratruvu29EeemlqdrbGo5pSOyvBhF9nfe0fflh33bVU+3hcw2E9/uPu5SNTs7PVdWpnxZjw66brltr+68n2vh8M3n+/hsMajerKK+tnT3YPPtTYWseKMzvWR78gPxzWiRPdQw92H3/SbdjQLC7Wli116FDNzTXjscdvrDzn1Drol+gGg3rhYLdjR338ydRw2Cwudjd9vT1xoubmajSqwcB4Z+W5pF9r/c6Ztq3HH++eeqrpt9COx/Wtb46PvDZ17bVLm2phNQh+TfVLdP852+3d0712dFBVzaC6tu77fvvCi4ONG22kY3U5udbO6EINh3X679137m5fO9pMTVUzqOFU/fQn3cuHBxs32iTPqjPh10g/uk+erPld3d9ONdMb6sJibfpK++yzzf3zzcVvwsKqEvyqu/h07fjx2rOnPvqo+h3yX71m/PLhwa23LS3Iq5014ApydfWju6p+8fPu3nv/V/sNN9Sbf1Y7a03wq6iPeeF8Pfqjdt8jzeefL9V+yy315pt1401LS/RqZ80IfrX0Mf/7X7Vz5/jpZ5qmWap9fr6OHavNm6ttPX5jrQl+VfQx/+N0bd8+fv1oMz3dNE2NLrQHDnQvvlibNnn8xvqwaLfy+lW6k+/Wrl3tqfeafs/s7PT44AuDnfc3bVtVamd92Eu/ki6+VfrYG90P9zRnzgw2bKjFxbrmqvbw4ea22y3Rsc4MmhXTj+6qeu652rGjOXOmZmZqcbFuurH745+a224fqJ11J/iV0d+TLy7WY4/V/v11fqE2bKiFhZqbq9//obZutSDPRHAPvwL62s+erYf3tq++PujH+HhcD+zunn6m2bTJ92GYFCb8peprP3267rmnffX1Znp66afgDhyog4eafkFe7UwIi3bLd/Gt0n95p9v9QHPqVDMz0yws1MxMPf98zc9X13n8xmRxMi5f/xKLN37T3X13nTpVs7PNwkJt/lr322Pd/PzS772qnYliwi9T29Znn9XhV9pH9tWoHczO1vnz3datza9fqq3bPH5jQlm0W45+a81bb9Wtt9ZgUINBjUbd3FwdOtRs2eIynsnlxFyOpqmuq298o757T7VtjUbd7vu7o0fVzqQz4ZepH/Jnz9b27bVtWz35ZA2HamfSCX75+uY//bS+9OUaNGrnMiD4S3LxbTZ+NILLgpF0Sfqb+f4DTD7BXyqpcxkRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5LzVoDzWNAwgsAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9c511ff2a3112fee8097ff639095c43cb897dc2d770d4be4327a611aca712919"} +{"episode": 14444, "episode_seed": 3069904398, "split": "train", "timestamp": "2025-09-15T22:55:43.337477", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3069904398, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "action": "('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "action": "('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "action": "('move', [-12.615297291872942, 11.1046852053799, 16.42600334390575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "87c97aa34dc448203d711ebc30efb45f010710aef6da2c5559087833a535a884"} +{"episode": 14445, "episode_seed": 1496769627, "split": "train", "timestamp": "2025-09-15T22:55:43.962597", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1496769627, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "action": "('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "action": "('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "action": "('move', [0.4766342426437547, 0.4717739521515501, -52.691231160892436])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a5de18a43f493e328f49a687d9a1ff343715f5bdbe6541aa2be217aabfe0514d"} +{"episode": 14446, "episode_seed": 2174061621, "split": "train", "timestamp": "2025-09-15T22:55:44.589726", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2174061621, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "action": "('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "action": "('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "action": "('move', [-53.23874617119879, -47.651180159896334, 5.832946087668148])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9088fb5e63eeed6614f074cc900cf7950ea8eab06db30ed65ceab5825475e806"} +{"episode": 14447, "episode_seed": 2209453130, "split": "train", "timestamp": "2025-09-15T22:55:45.569611", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2209453130, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "action": "('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALbklEQVR4nO3dXYgV5QPH8d+cc9YUNZWCaHFNSgxfSrFQ1JLASuvGEixMRUrBXpSypNSUyDBKLwqJkrrJkiI01jBhNdvsxXARE6HyhbJAfKmUrbSt3T0z08XMP6/+ROs5Z2b9fT936rkYZvc7zzPPPHMM4jgWAA+FrA8AQO0QPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfgLFscqlxVFWR8H8O+COI6zPoaLRRiqUFAQZH0cwP/FCH8BklH9xAm9+qqOHlWxmNbONRR5RfAXIAwlafNmPfKIbrlFixfrxx8lpdkzyUf+EHxXxbFKJUn6/Xf1769jx/TyyxozRgsX6uBBlcsqcG6RO9zDX5goUqGgI0f00ktqakpH+F69NGeO5s7VhAnpx7i9Rz4Q/AWL47Tkgwf11lvaskWHDknSxIn64ovzH4hjxTHDPrJF8JWQPJmrq5Okw4e1bZvefFNr12rKlLT2vXs1enT6gX8uEEDNEXzlhKGiKK362DHV1ysIVCjowAHde69699YTT2jmzPMr+Qz4qDl+4SqnWFRdXZp9Q4OKRZXLktTUpCNH9NVXmj1bo0dr40b99lt6LQBqixG+OpLFvGT2Xi6rsVGvvKKWFrW3S9KwYXr0Ud1xh+rr06V+5vmoCYKvoU2b9M47amrSX39J0tix+vRTXXKJpPS6UCgw7KOq+PWqiShSGGrGDDU2avNmzZunHj00eLB69lQUKQjU3q5SSYWCooiNeqgeRvga+mcMjyK1tGjgQDU0pJP/mTNVLGrZMo0YkX44+bkwz0dFEXxtxbHCML1vlxSGKha1c6duv11xrAEDNHWqnnpKI0eqWEw/T/OoHKb0tRUEKpUUx+nUPYn52mu1ZIkGD1Zrq959VzfeqFmztHu32tqoHZXFCJ8bJ09q/Xpt3ar9+9O/mTVLzz+vQYPSq0Mcn38hD+gSgs+BZMBP5vAnTui99/T++9q9W1dcoT17NGiQpPOr98k9P9AlBJ8byUp+slHv1Clt26ZevXTffel9/ttvq7VVCxakj/GALiH4nIkiRdH5Vb1kPG9r05AhOnlSI0Zo/nzdf7/69cv0KNFdMTnMmUJBpVKavf73WO6XX3TdderdW998o8WLNWqU1qzRH39ke6Tojhjhu4/t2/XGG2puVmurJB0+rKFDeW6H/4Tgu4nkTl7Sxx9rwwZddZWeey7rY0L3Q/DdRxie/16tP/9Uz56M7fivCL67KZd5Go8uI/huiG326KrSv38EeUPq6CoeywFGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheORUHGd9BBcjgkdOBYHimOwrjOCRO3GsMNTPPysI0uxRKQSPfIkiBYF27NCYMVq/Xm1tCoKsj+kiEsRcP5EbyRz+3DlNmqQDByRp+nRt2KA+fRTHlF8BjPDIl0JBq1bpwAHV1aV/TGb11F4RjPDIiyhSoaDmZt15p8plRZGGDtVHH6mhIf0nXDjOInIhSfrcOS1Zovb2dDxfsUINDSqXqb1iSlkfACBJYShJq1Zp/36VSiqXNWuWZs9WHKtYzPrgLiJM6ZG9ZHjftUszZqi1VVGkgQO1c6eGDCH4CmOqhIwlC3KtrXr6aZ0+nS7RPfushg6VRO0VRvDIXhDotdf05Zeqq1O5rLvv1ty5CkNu3SuPKT2ylAzv+/ZpwgSFocJQl1+uvXs1eDCP4qqCRTtkKYoUhlq4UB0d6tFDktaupfYqYs6EzIShikWtWaM9e1QsqqNDd92le+5RFGV9ZBcvpvTIRrmsUkl792ryZLW1KY5VX6/t2zV8ONtsqojzigzEsQoFnT2rZct09my6hX7JEg0fzjab6uLUIgPJCvz69frkE/XooSjSbbfpoYdULvMcrrqY0qPWkhn7vn2aOlVnzigINGCAdu3SyJFM5quOs4sMdHRoxQqdPq1SSVGklSs1cmQ6z0dVcYJRU0nVr7+upiYVi+rs1K23auFCnsPVCFN61E5S9ZEjGjcuXavr31/NzRo1iuBrhBEetZMMLosW6ddfVSgoirR0qa6/Pv1aK9QAwaNGkudt69Zpx450Mj9lih58MOvDMsOUHrWQbKr79ltNnarjxxXH6tdPH36oiRPTHTioDUZ4VF2yVfbcOa1cqWPH0qX4xx/XxIkKQ2qvKYJHdSUzyGJRmzZp69b0BdixY/XYY7wAmwGm9KiuZPn9hx80fnz6f0uUSvr8c40dy8p8BrjAorqSAWXpUv30U7rNZvlyas8MIzyqKKl640bNmaNiUWGoceO0Y4f69pVE8BkgeFRL8g7c8eMaN06nTqlUUp8++uAD3Xwze+Yzw1lHtSS7aJ98UidPqlBQZ6cWLEi/yoqxPSuM8KiKzk7V1WnjRj3wQPrHG27Qzp269FJJDO+Z4cSj8sJQdXX67jutXq3OToWh+vTR6tXq359X4jLGuUeFJQt1UaQXXtChQ+n3W8ybpylT+H6L7DGlR4UlwTc2avr09A2ZYcPU0qK+fXkUlz2CRyUlv02nT2v8eB09ms7et2/X5MnUngtM6VFhQaDly/X99yqVFIZatEiTJ/MCbF4wwqNiklfitmzRjBmSVC5r9Ght26Yrr2StLi8IHpWR7KU5c0Y33aTDh1UsKgi0aZOmTeMF2BzhqovKiCK1t+uZZ3ToULqLdv58TZumKGJlPkcY4VEByWS+pUWTJqmjQ4WCrr5azc2qr1cQMJnPEX4UqIDk8ds112jdOl12maJIL76ohgZqzx1GeFTGP0/dvv5an32mhx/mDZk8InhUTPJ6HJHnGcGjwthgk2dcjVFh1J5nBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyN8ufUT+nRTN1QAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "action": "('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "action": "('move', [-43.22034024067344, 93.93261033639517, 32.5582573263243])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f812054e348e0c5679787dd3e1f4316103c2fb271ba46d7a73d6db8193e0d6ea"} +{"episode": 14448, "episode_seed": 3199426386, "split": "train", "timestamp": "2025-09-15T22:55:46.196992", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3199426386, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "action": "('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALGElEQVR4nO3dXYhVVQPG8WfvM2e0HKPMDKNpSEQjIlFTGYpGlMGg0SQj8sbIm6JA+gAJvIigK6FuuouKShHKZBDTIjVLyY8xxST6RDNLAi2scfzIOefsLtZyRl6o1xltzt7z/H9X455hzvLiP2udvdfeJ8myTAA8pPUeAIChQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASPFDj7LlGX1HgRQHEUNPnSeJEqSeg8FKI5CBp9lShJt2qT9+9XdXe/RAMVR1OD/+ktPPaXp0zV3rtaskaRard7DAnKveMFXq0pTbd+u335TmuqLL3TwYDwO4N8VL/gwk2/YoJ4e1Wq64QZ1dEjizTzw/xUs+CxTQ4NOnVJXVzwyebJmzlStplKpriMDiqBgwVerShLt3q3vv5ekJFFrqxob43EA/65gwQfbt+vkSUkaPVoPPCBJaSH/H8BQK1IoYT3/55/auTMeueUWtbYqy1jPA5ekSMGH03UHD6qrK07p7e1KUy7IAZeqSMGHd+ldXerpiV8//LDEeh64ZIVpJcuUpuru1kcfKUlUrWriRN11l8QFOeCSFSl4SUePats2pamSRIsWqaGh3sMCCqUwwYdp/LPP4k67LNOCBZK4Ww4YgCIFX6tp7VpJqlQ0aZImT673mICiKUbwfev5nTtVKinLtHChrr023jYH4BIVI/hgwwb19savZ89WqcQFOWBgihF8mOHff1+SqlXdeafuuEPi/DwwQAUIPlyQO3JEX34Zj7S1qblZtRrBAwNTgOCrVWWZOjvjfpsRI9TaGo8TPDAgBbiQHR5ct3lzfMTFxIm65x6JDXbAwOU9mmpVpZK++05ffx2PTJmi5mZVKtwwAwxY3oMP5+G3bNHRo5I0YoTa2+s7IqDA8h58mqpS0eefxxP1N96oefO4HxYYpFwHH9bzP/zQ/0CrKVM0fjzn54FByvVJuzCr79+vw4fjBrsHH2R3HTB4+Z3hw7q9t1fbtyvLVKtp1CjNn68k4fw8MEj5TSfM5MeO6eOP45Q+e7auv77ewwKKLL/BB199pSNHVC4ry/TII/UeDVBw+Q0+TVWt6oMPJKlaVVOT7r1X4gZ44DLkNPhQdU+POjvjA63a2zVunMQNM8BlyGnwwZ49On5c5bIkLVigxsbcTO98MD2KKdfBv/eekkS9vRozRtOnSzlZz4e7dlhpoIByGnyS6Px5ffhh/Gdbm269NR6vp2o1bgaqVHTqVF2HAgxGHjfehI10W7fqxAlJyjK1tampSZVKXR9T29sb313s2qW33tKZM1q1qn6jAQYjp8E3NGjduvhAq7FjNXOmVPfpvVzW3r16+22tWRM/2u6JJ3T33Wz9Q4HkLviwwa67W7t3xyPTp2vqVNVqQ77Bru+EQZLo7FktX67OTh07JknNzXrmGbW0xO8CBZG74KtVNTRoxw79/HM80tqqkSP7F9RDIbypCCWHbb2Njerq0rFjGjdOy5ZpyRI1Nw/VaIArJnfBh2l182Z1d0vS2LG67z5pyJ5vU6vFdxSSDh/WkSOaMyeuOlauVGenli/XTTf1D5TpHYWSZLm40hWFt8MnT6qjI34m9KxZ2rUrfve/jSvLVKnEVcRPP2n9eq1cqT/+0NatmjUrnpz/n4ECRZOvGT4Ut2ePDh6UpCTRnDlKkiE5P58kKpd14oRWr9Y77+jAAUlqatKhQ5o1K+60CQ/QFRM7iipHwffVtGdP/wNqFy2S/uv1fJiuz53Ta69p9Wrt3StJ5bKWLtWjj2rGDEnx7w2do+DyFXyppN9/17ZtShJlmSZM0NSp/X8IrvCLhd8bau/p0fz5+vRTSSqV9NBDeu45TZvGk7QwzOQreEmHDmnHjnir3MKFMckr/DLhSkD4eMrwSqNGqaVFV12ltja98IJmzIiph4+qZWLHcJGj4NNUtZq2bFGSqLFR587F9fyVVKkoTdXQoDNntGmTDhzQSy/FpF98UYsXa968+JPhzwwzPIaXvAQfVtbnz+ubb1St6uxZTZ6s22+/ci9w8fW29eu1apXWrZOkSZO0ZIkqFbW0qKWl/2IbszqGo7wEH/oql7Vihe6/X5s3a+pUNTb2f+typanSVBs36o03tGGDKhVJmjs37p8J5wz+k7MFQI7k6zp8n0pFlYpGjryMX9E3V4fFw86dWrlSn3wS73KbNk3Ll6u9XWPGXJEBA4WQu+AvXnoPXt8+mbBJ9vRpzZ0bn25/2216/nktWqSmpvgDzOqwkZclfZ+w9B78vtWL/2D8+qvGj48PxFu8WKdPa+lSPflkXDmE16B2OMndDD94F++N3bdPq1Zp3z5t3KhrrlGW6exZVasaPTr+JOfkYCl3M/wghYbLZX37rV5/Xe++q19+kaQ339TTT6tW09VXSxeW+tQOV8Mi+FD78eN6+WWtXasff5SksWO1bJk6OiT1v0ngujq8FTz4kHqlolde0auvxqdTXHedHntMy5bFB1SIPfBAVPDgJdVqKpW0bVt8OkVHh1as0IQJ/d/ltBxwQcGDD/vhSyU9+6xuvlmPPx5vbtOFyZ/agYsMo7P0Abe7AP+s4DN8n3BNLk05LQf8i2E3wwP4Z7zFBYwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4GDCiWr8/yxcoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "action": "('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "action": "('move', [1.86188687017263, -1.3465977791190094, 45.12149046464257])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKJUlEQVR4nO3dXahdZ4HG8WfvczJttYpVCbQ0RjPNmH74MWrp10yntHgxIf2g6oXDUDA3Qi+CCgZB5kJwYFD0xoEyg4ohUJCODZ16Sh1MO4Wakkiw1hriTWs0TSCtWCptanP23nOxd89JW+04Y9vknOf3Izdn7ZV91gn89/uud62zMphMJgE6DE/1AQBvHMFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDkflTfQD/u8kko1EGgwyHGQxO9dHASjaYTCan+hhezWSyHPl4nNEow2Hm5k7pMcGKdfqO8NPUn3kmO3fmzW/O5ZfnwgszHCbJaJTJJMPh7EvgT3T6jvDjcYbDHDiQiy9Oko0b8+EP5/LLc+21ed/7ZvssHbupPvwpTt/gp267LbfemjPOyO9/P9vyrnflggtyzTW58ca8//0v2Xk8npX/uvc//UfzMcNKc7oH/6Uv5atfzfPPZzR6+Utve1ve/e7ccENuvjnvfW/OPHP5pcXF2Qrf65LkaGQVgRXqtA5+ehr/1FNZWMiuXXnkkRw5sjzUn2zTptx8czZvzoYNOffc2cbXfpFv+qkzN5fFxRw/nre85TV6X3iDnNbBv8xTT+Xee3PfffnZz/Loo3n++SQZDDI/nxMnZvtcdFE2b86VV+aSS7Jx42zj4mKSP3uR78SJrFmTJA89lO98J889l507/4y3g1NgZQQ/Hmc8zvyLlxSOHcuePdm7Nz/6UR58cHZCPT+f4TAvvDDb58ILc8UVueyyXH11Nm2abZxez///T/V//OPs2JHbb89vf5skDz6Yq656yZVDOL2tjOCnpnfgTCazgTbJsWM5eDD79uWee3L//bON0wn80jn/BRdk06ZcfXWuv365/KU3zKssvZ18DeD48Wzfnl278sQTSbJuXT772XziEzn//Nfqp4M3wEoKfsl0wE+Wx/xnnsnRo9m9O3fckT17lsf5k61dmw0bcuONuemmbNz4khP7l4/80+X+6ReTyezPlVdm376sXZtt23LLLVm37nX9GeH1sCKDXzIez+7AWRqlJ5McOZLvfz933plHH82TTy6f3i+Zm8sll+TjH8/mzVm/Pu94x/K7jUaZG4yH88Mkeeyx/PKXufba2S0BDzyQXbuyfXvOO2/2neLKHCvMyg5+yR+s7+jRLCzkhz/MgQM5eHBW/vSe/KUJ/wc/mOuvz1VXZdOmrF8/27h46Inc9Z/Df/nn4TNPZ/fuXHbZyy/FOW9nZVolwb/MdORfKvTIkTzwQB56KHv3Zt++2cb5+QwGy+P/Bz4w+Zu/zeWXHL/i6YW/vP3zeeRQksUzzx7++78N/vEfBqPFzM3NphOwYq3O4Kdeuch3+HAOHMjevbn33uzZM9s4Pz/bM0ly/KI8fHF+8Xdn/fzvb/yLDf+0JRddejr/xgH8n6zm4JdMT86nV+ynfvPk5Ne/nuz+7+F/3JF9+2ZLgJlLxsmaZJLhKOety1/9dbZck5tuyHveYxbPalAR/JLxOOPRZC6jwZpp+uMXTgwP/yp3L+TOfz3y88fPenpyzmg0TsYvjuqj4WB4xpmDLVuyY0fOOkv2rGxdwc9ush8OJ88+N1m4Z/jIw/nyl5NxMszhX/zqvw7fffy6H/wgBw/msccmo9EgyZo1GY2ydWtuu202+Rc8K1dN8CffrHfXXdm5M9/7XpLs2DG55ZacWJysmV9ajjt0KLt3Z8+e7N+fhx9Okl27ctNNs8tzsHLVLEdN76RfWMi3vpW7757dXn/ddVm3bpBkOBhMJpPxZJzhZJL167N1a7ZuzaFD+clP8tOf5iMfOcWHD6+J1TvCL12an87C9+zJV76S++7L736XJB/6ULZvz0c/mre//ZV/9ZWLfGbyrA6rNPil+2SmN8k++2yuu252CX7TpnzhC/nYx3L22bMd/vg0fXoe4FlarBqrbkp/8rn60aM599yMRjn77Hzyk3n22WzdmltvnT0rY/pJ96opS51VZhWN8JNJFhdnN9ns35+dO7N/fxYW8ta3ZjLJ8eMZjWaPrDBBp9VqGeGnDa9Zk4MH881v5rvfzeHDSfLtb+czn8l4nDe9KXlxqq92Wq2K4Ke1HzuWr30td9yRxx9Pkne+M9u2ZcuWJBkOZxN4z6Kj2woPfpr64mK+/vV84xuzp1Occ04+9als27b862+GdEiy4oNPMh5nbi73358nnsjatdmyJV/8YjZsWH7Vshu8aIUHPxjMgv/c53L++fn0p3PppbOXpoO/2uEkq2iVfmr6YGpzePhDVvgIv2R6Tc5/NAmvatWN8MAf5xQXiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwPe+l1XO2u1ywAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIV0lEQVR4nO3cXailVR3H8f+z9zlH7UWRYhBG0PJOtJygRC+abBCyIWo0Qxj0xjP2Io4SRKINMQm9aJ3yTiwZZowxBCV8SYUmERu8mbKUvBIMLdQLR4Yp0XP2flYXezvjpInTRdM+v8/ncsMD6+a719rrWWt3rbUCMgyO9QCA/x3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDB//daO9YjgKMk+KPW2jT1rjvWQ4GjJPij0FqNx9V11XX12mv1xBPTD2FWCP49aa1Go+q6Gg7r4MH24INt/fq68MLau7e6rsbjYz0+eG/mjvUAZsCk57m5WlmpRx5ut91WD/6mqmo4rFtuqXPOqeOPr9as8JkBgn83rVXf13BYVXX/fW3nzrrn3qrq5uerbzUe1dNP10sv1RlnVN8Lnhkg+Hc2mbEna/jHHqulpfa7PfWPf3aDYVWrlZUaduOtW4dXXFFr11bZwGNGdM2m05HG4+mUXlVPPVXbt9eePXXgQFVVV9WqhoP+ssvq29d3Z53V6ZzZYoY/bPJbfVL7X55pSz+unbvaeDyoqq6r1uoDH2wXfLp996bBJ9YdfuTQtwP8/zPDV1X1fY1GtbBQVfXkH9vu3XXrrW1lNBgMajCo0ahOOKE2bKjrrqsNG6aPeBXPLBL84Vn6qT+3O+9sO3Z0r+yv4bAbDmt5uarapk3d5ZfXpk1VNd2c0zkzKjf4t75Ie+GFunVpfO+vh8/9tVV1c3M1GlVVu+iiumpLfX5jt7BwxIIfZlRi8G+dpV99tW6+uXbvruefPyL1T32y3Xhj95kLuhNPrKpaWam5ORM7My8r+L6vvq+5uaqqV15pO3Z0S0v14otVVcNhjcc16OrMM/sbbuguvqQ77riqqvG4BgOps0qkBD85Gzs/X1X197+1Bx6oH/2gf+75YVXNzddoparq4x9ri4vtq18fzM9NHynbcqwuEcEfWsPv39/uvrv94vbuD09WVbewMNmWq3XravPmWlysk07SOavZKg/+UL3jvu64vd/1y8Heva2qW5iv5ZWqah89vb966/CSi+u006qqRqPpgh9WpdUZ/OTK+uDNq4B33dX/7Kfdvn3Vt244V+NRVdWHTx5/6/rhVy5tp3+kK9tyZFhtwU+urE9m6TfeqEcfre3ba9++Go2m23JV7UMn94uL3XXf7E45pauaXnEfuChMgFUV/GhUk7Nxr79ee3/ffrLUPfRQVR1Ofe3a+sLG/sZtw1NPnT7S91InyCoJvu9rPJ5uwj/ycNu5s+76VU3usY7H1fe1Zk1t+mJ/9TWDs8+uKtfXCbUagj80S+/Z0+74ebvn3m55pZufn76KW1ioxcXavLnOP7+qpmt7tZNpNQRfVU/+qX74/f63ewb797eu67qu+r6q+iuv7LZs6c49t6pqtFLdwNlYos1w8JOBP/ts3fS9/r7768CBrqqb3GOdn28Xfa62batz1nWTDTzv26BmN/jJqJeX66qrateu6ZK+7+v972vnnde+s61bv366ane/DQ6Z1eDrzWutjz9eGzfWwYM1HLTPbui+8bX2pYuncduZg38zw8FPTtcsL9e119Yzz9TWa9qXL+0mfxrtugu8oxkOvt6cw19+ubqu1qw54tQN8HazHXy9Zd0+Wqmhs7HwrmY++HrbyXngP1kNwQPvkWkRgggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwLf43yxMTHKlUAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7204c778632714eeebf221691bad996c9eaa03aa17ea05b7fccad893a05f23e8"} +{"episode": 14449, "episode_seed": 1116718258, "split": "train", "timestamp": "2025-09-15T22:55:46.819241", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1116718258, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "action": "('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALSklEQVR4nO3dX4gVZQPH8d/MnFWX3EhXQxaD/qBZeBFaXYStuShiVoYlJRFrFIGVSVRQaF1IBV5kVBiskIGG5cVCoWWFlpUagbm6SYFJabZpq1nrbmu5Z2bei5nXfNVelcrjnN/3cyVnV5g9nO95Zp55znOCNE0FwENY6QMAcPYQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfOUkiZKk0gcBLwRfOWGoMFRfn9K00ocCFwRfOd98o337VFOjIFCSkD3OgiDldVYRaaqJE3XggG68Ufffr0su+fNxSUFQwUNDFSP4sy5NFQTatk1jxuTX8MOGaeJEPfigrr1WIedc+BcRfIXEsb74Qi+/rHXrtHevJEWRGhs1Z46amlRXlw/ycawoYsDHP4XgK233brW06P33tWVL/siKFZo5U+WySiXpv5P5ZI9/AsFXTpoqTfNz+IMH9dZbWrlSSaLlyzVsmJJEBw9qwwbdemv+y0miMCR7/B0EX2lpqnJZNTWS1NWln3/WpZfmP3rhBT35pCZN0s03q7lZ/ftX8DBRHQj+3JAkiuM8+2xW78gRTZum997Lf+GKK3TnnbrvPjU0VPAwUXQEfy7JJu3DML85192td9/V4sXaskW9vZJUX6/p0zVnjkaPzv9LHCsIFEUVOmIUDMEXwfr1WrJEGzZozx5JmjVLLS35ip1MX5/CkOxxSgR/bjt2HU57u1pb9eGHevZZNTYqTdXbq7VrNXy4xo6VpHI5X64L/AWCL4Jjr/D379d552nAAIWhPvlEEyeqoUGTJ+uOO9TUlP9+NgsAnIDgiyOOlaZ/3pwPQ735pu66K7/yv+ACXX217r1Xt92WvzUAJyD4okkSBYGCQGmqvj51dOj117V0qXbtkqQg0KhRam7W3LkaMECS0lRxzKk+MgRfFQ4f1vLlWrZMW7fqt99UV6fvvlN9fX4ikOnrUxSRvTmCL7jjPl23apVee00TJmjOnPxKfs0a/fCDpk9Xfb0k9fWpVOIK3xbBV4s4lpTfmcum6yV1dmryZLW3a/x4TZqkmTPzZXzM6rniBK9aRJGiSOWykkSlUr5K/48/NHy4JH38sebP1+TJuvtuffttPgUAP4zwVefYk/w0VU+Ptm1TS4veflvd3QoCbd6sMWPyD97CDMHb2LNHCxZo0CA991x+CsBZvR+Cr3bsmYVjlCp9APiXHU09+0R9EHBnzhkjPGCEN3vACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeRo6uI08S0w0BCB5GgkC//JJvCOT5AUKCh4s41uHDampSc7O+/FJHjlT6gCqB4GGhXFYUqaVF27drxQqNHavVq/PHrRA8ql+2W3dHh5YsUbmsUklDhujiiyW/nUEIHlUu2/gjDPXqq9qxQ6WSymXNmmW6rx8bYKDKZVV//bWmTNHu3QpDDR+utjYNGpRv7WvF7M+FnzBUkmjpUu3erVJJSaLHHtPgwY61ixEe1S17dW/frnHj1NMjSZdfrrY29e9f2eOqGL+3ODjJvndz4UIdOpQP9c88o/79TVfdiBEeVSzben/TJjU2KghULqupSatXq7bWd1d+RnhUrWwsmzdPcZz/+4knVFurODatXQSPahXHCkOtXKmNGxWGimPNnKnx403n6o4y/tNRvdJUaarubi1apL4+STr/fD3wgPr1sx7eRfCoSnGsUknLlmnr1nyubsYMjRuXP+6MSTtUm+wLtTo6dNNN2rZNYahBg7Rpk0aMUJLYLa07DiM8qlAQ6I031N6umholie65RyNHUrvECI8qkw3vu3bphhu0Z4+CQEOG6KuvNHiw9aX7UYzwqCrZzhZLluj77xVFShLNn6/6emrPMcKjemST8zt3auxY9fZK0qhR+vxzDRzou9LmOIzwqCphqAUL1NOTT84/9RS1/w+CR5XIrt43blRrq6IoX0g7darvsvmTInhUiSRRkmjBAv3+uyRFkebOVV2d+0qb4xA8qkG2cVVrqzZsUBAojnXLLZo6lVtxxyN4FF52Mt/VpcWL1durMNTAgXrkkXyWnuH9WASPwktTRZFaW/XZZ4oixbGmTdP11ytJ3BfSnojbcii2bAzv7NSUKWprUxiqtlZtbbrsMknWH4w7KZ4PFFu2p83KlWpryxfSzp6tESMUBNR+EozwKLBspc1PP+maa/TjjwoC1ddr+3YNHSr57Tl/OngPRIFlw/iLL6qjI5+imzdPF16Y/wgnYoRHUWWv3F27dNVV+Y60o0Zp/XoNHZp/8wROxLOCosqm655+WocOKQiUJHr0UQ0dmm9uhZPiiUEhZd8n8+mnWrUqX2kzfrxmzGDZ/ClwmxKFlC2kff55dXUpihSGeugh1dXlS+7wVxjhUTxxrJoavfOO1q3Ld6RtatLtt7OQ9tQIHgVzdCHtK6+op0dBoH79NH++JM7nT43gUTxhqDVr9NFHKpUUx5o+XePG5Qts8f9xWw5Fkr1au7o0YUK+BXVNjdrb86V1OCVGeBRJtpB2xQpt3ZovpH34YY0cSe2nixEeRZIk+vVXjR6tffsUhqqv1+bNuugiVtqcLp4kFEZW9cKF2rs3n5x//HFqPzOM8CiGbHJ+xw41NurAAaWprrxSH3yghgaCPwM8TyiGbGu6l15SZ6eSRGmq2bPV0KBymdrPACM8iiG7x75/vxYv1qJFGj1aa9eqttb965/PFMGjeHbuVGenrruOk/kzRvAoGJbT/R28PaJggkBpqiSp9HEUEyM8YIQRHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AciCiDeFKVvdgAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "action": "('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "action": "('move', [-2.7830277238119248, 1.3390446180854771, -28.33754559778282])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c523958c13ae1907398033cceed5054b1921070cab4cb9e14eb007f27bf248a4"} +{"episode": 14450, "episode_seed": 2157505448, "split": "train", "timestamp": "2025-09-15T22:55:47.446868", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2157505448, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "action": "('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKpUlEQVR4nO3dT2wWdR7H8c/MPM+2VP41EsTVVsGAbCh/TDAhoYEYG62oBIzIwYQ0GjSYbDx62L1o9uLJiwc1BhONboKJosEYEkAOYKtIg5YARlEoVAilRoxi2+d5ZvYws5TuYlLaR59pP+/XiUwfmt+BN9+Z3zPzPEGSJALgIaz1AgD8eQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeeRHHKpUUx7Vex5QWJElS6zUAKpVULNZ6EQaY8KixdOIUi7p0Sdu36+TJkYOoOoJHLSWJgkC//abnn9f69XrySb38suJYQVDrlU1RnNKjltLgL19WW5s6O1UsavZsff21GhuzH6G6mPCopSBQHKuhQdu2KYoUBOrv14cf1npZUxfBIxdaW9XUpFJJkl57rdarmboIHjWWDvnbbtPGjdlp/BdfqLtbEm/RVR/Bo8bS4MNQ992nmTMVBCqV9Mor2XFUF8Gj9qJIcaw1a7RypeJYSaL9+3X+vKKI9+eqjOBRe0GgSkUNDXrggWxn/uRJ7dypIFC5XOvFTS0Ej1xIh/kjj6i5WZLiWLt2aXhYYciQryaCRy6EoSoVLVig1aslKQjU1aXOTkWRKpVaL24KIXjkRTrMn3pKhYIkDQxozx5J3H5TTQSPvAhDSWpt1ZIl2ftz772nvr5sSw9VQfDIlyjSE09IUqGgY8fU2VnrBU0tBI/c2bxZN9yQXbq/9RZbd9VE8MiR9HJ9zhw9/rjiWFGkjz7SyZPUXjUEj3xJO9+8WUGQvT//zjvZnzFxBI98ScNesUKrVmV33bz5pgYHa7uoqYPgkS/pVG9s1GOPSVIUqbc3e2CWvfqJI3jkURDo3nvV3Jx9+s3rr0sEXw0Ej9wJQ8Wxli7VPfcoSZQk6u7WkSPcdVcFBI/cSc/qJT34oBoaJGlgINu6Y8hPEMEjjwoFxbHa27V4cXZk3z5duMBddxNF8MijdJjPmKF16yQpDNXToz17smdsMG4Ej5xKH5jt6FBjo+JYw8P6+GOVyyoUuA9n/AgeORUEShLdcYdaWxUECkPt3q2eHq7kJ4TgkV/pTTjPPKMkURiqv1+ffMLn1U8IX0SBvBsc1NKl2R31LS06cECzZpH9ODHhkXd1ddq6VUmiYlFHj+rQoVovaDIjeORaeqfd+vWqr8/259O77hjv40PwyLV06+722/Xoo9nH1+/cqbNn2agfJ4JHrqV78vX12rBBhYLCUEND2r6dvfpxInjkXXr2vnq1li/PHph9910NDdV2UZMVwSPvwlDlsubNU3u7JAWBvv1Wu3dz1914EDwmhyTRQw/pppskaXBQb7+dHcR1IXhMAukzM6tWaeXKLPKuLh09ygOz143gMQmke/WSNm1SsaggUG+vdu0aOY4xInhMDumQ37BBzc1Z5Lt366efsgdpMUYEj8khHeazZunhhyUpitTVpa4uiSv560HwmDTSr6N4+unsS6kGB7Vrl8plvqbiOhA8Jo1ASZDEixdW2taW40ocBNqxQ2fOcCV/HQgek0oYKoq2/rOQBGGhqP5+7d0rcWv9mBE88idJFMeqVFQqZTty6QQPguTceX16YO2JHU3hmUo5KUTxq69qeJjgx4rn4ZEPV/4d/n+76bPvSaIXX9T77yd9Z+O+H17QP17Qv6SKFB0/rsWLeUJ+TAq1XgDMpGH/d2KPNHp1rKdO6fBh9fRo/37df7+eey6r+fhxff55LEV/Udtfe/996cLGdaVNf593662RqH1smPD448Vx9oUSkgrXmjGVig4eVGenurt16JD6+/XLL9mP7r5b+/Zp+nRJ2rtXBw9qzRr9bXF52ozLlbqZM6RCJNH6WBE8/gBXBvg1f3Txon78Ub29uvlmtbQoSfTrr2pr02efZa8JQ82dqzlz1NSktWv17LOqr/+9U/b0IXmMEaf0qJJ0hqfDPIpGKkwS/fyzTp3S6dM6fVonTujYMX3zjfr61NGhN95QkqihQevWaWhIixZp/ny1tGjJErW0qFgc+f1p7SPzKUiUfZotxo7gMTFXztXDcFR/Q0Oqq5OkclkdHfrqK3333ai/WFen6dNVKmVVb9umjg41N4/6zaVS+j7cyMGrhjzn8ePAKT2q5OJFHTmiL7/U4cP6/ntt26YtW1QuK4o0f75On5akhQu1YoWWL9eyZZo3T01Nmjt31IyuVFSpjPzfwUZctTHhMS7pFfXAgD74QJ9+qu5unTmjS5dUKmUvWLRIW7ZkL3vpJVUquusuzZ6thgZNm3btX5h++vzV8xzVxoTHuFQqiiIdO6a2Np07lx2cOVM33qhbbtHSpWpv1/r1v7ulll7qM8P/dEx4jEua8YIFam9Xb6/uvDPbZlu2TLNn/+/LNPqJNrbaaocJj4kZGFBj46iAy+Xsjhqqzh+Cx4Rd2U5npy33CB4Tk341DJFPEgQPGOEqCzBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/Afz6YdDzjt9AQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "action": "('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "action": "('move', [-0.3767178751447482, -0.7328039426470175, -49.969445815035506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHlklEQVR4nO3b33NU5R3H8e85GyJMDRrsZEbLDym2opRoQmB67Z/mn+F/4jU3aiFWkpAyBSJxGCWIpWhpiMmeXmzMr3EcCUKSfl6v2dmLze7J2cy+93mec06arusKyNDu9Q4AL47gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgOdi6bq/34EAZ2usdgKfTdeu3pqm2rabZ6x06UATPfrdReL9fTVNDQ9siX1mp4eG927mDpulMidh/BnkP7nu96vU2f7SyUktLtXSvf/du88W1Zna2Pvqojh7du309UATPfrF1JN8xjN+7Vwu3u9u3utsLzT9uNPPzdX1mbfnHtqqpqk8/rUuX1if5/DJTevbM1rGmadZvVdXr1epqzc7W3Fw3N1M3bzeLi7W42Hz9dTcovKqapjc8XP1+ra7W5ct16dJevIEDSPC8CIO2B/ftT6eGdgzIXy3Wlav1+XT/6pXuq7u9Bw/qu+9qeXnrU9qm2dzUykr12v74+WZ01Mj+awme52WwCB/0OTRUtaXwtbVaXq7vv6/5+frsb3Xls276Sv/bf/WePKknT9qqjaF/W8nDw3X4cP1+dG3qYk1d6l28WGfPtiMjdfjwto3zC6zh+c1srMD7/Wrb9cg3fPugHtzvlpZqZra5erWmr/RnZmqt27wSZGP0/kn/yOFm9LXmtWN16lRNTtbERF24UCdOvJh38/9J8DyTjci7rnq9zel6VT16VIuLdedOt7DQzM/X7FzNfbH24GG7MW4PDVXb1srK5saqujfeaE+erJMnuzOn+38Zb8+da86d2/ndsWPxz68neHZpkHq7/VrNmzfrxo1ubqb/z1vtwkLz5Zd1+1bXbZmZDw9XV/XjZuR15Ei9+2698069/XZ35nT/j2+1p083Y2PbftHq6vo1NhsH9tgdwfNMHj6s6en6+3T/86v9W3d69+8395fq34/6W6/a7vVqbW3ri/pnTncTU72J9+v8+Tp+vMbGamysDh3afMbq6vq6wOV0vy3B83QGp7t/+KE+/LA+/rj75pt6/N/m8X+q3+92HGMbaNs6dKiOvrw28X5N/bU3daHGx7vRV+t3LzcvvbTtmaur61MGI/nz4yg9u7G2Vp98UteuNW1b/f7gsUGg3VCvXh1tXnmlXn+9JidrcrKmpurs2d6Wq+U2Ux4s/gd5D/kwPn/+xuzGyEhNTNTly4Pa+8dG2z8cr+PH680Ta+Pvteffa8bHa2TkZ16443hb6981XyzB83QGJ8/atj74oK5fr6mpevNk96c/d2feak6dqq2fqNXVzcn5xvzcRH1vWcOzS8vL9fhxHTu2+cjgQldH2vYzwfNMBkfaNgoX+T4neHbpZ8/Ds88JHoL4foYggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wNsl375EY/rAwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0682b5b642110cee2d27676ffa654ddfc92659bdc4043f2dc59345799ce78c55"} +{"episode": 14451, "episode_seed": 4193655599, "split": "train", "timestamp": "2025-09-15T22:55:48.418019", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4193655599, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "action": "('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKoElEQVR4nO3dXYhU9R/H8c858yCkPboJBZIE2UUY3fRAiRcKK7Lispa4KmRsoBkWhcVmmQaJWWjlhbqgoKUSGqYUIWEErnqz4UULBhEYgqmVaA9rujtzzuninPRf/BNdZ+dhP+/XpXtzwHnP9/c75zczQZIkAuAhrPUFAKgeggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjB15MkqfUVYJgj+JpKCz9zRl1dOn9eQaA4rvU1YTgj+NpJEiWJ+vr05JNatEgvvqg//lAY0jyGDsHXVBDowgWNGSNJmzbpmWd07pzCUFFU6yvD8BQk7BtrKI4VhrpwQS+9pA0bJKmtTZs2afTo7E9ARRF8rSWJgkADA1q6VO++K0nTpunDD9XUlP0JqBxmSK0FgZJExaLWrtWyZQoC7dunJ57Qjz9SOyqO4OvApZvzb76plSuVy+nAAR08KP19Yw+okHytLwCSpDDMwn71VSWJ8nm1t0t/z3/W9qgQ9vD1JG07vVeX3rQrl5UkKhRoHhXBkr6eBEH2HD6Ksry3b9ejj6q3lzM5qAgmfP25NOePHdPEiTp1SnfdpY8/1oMPKoqUy9X6+tDAmPD159KcHzdO69bp5pt1/LhaW3X4sHI5lcu1vj40MIKvV+lOftYsbd+upiadOqXHH9eXXyqf5xweBo0lfX1L1/BffaV583T6tJqatGWLpk/nHh4Gh+DrXtr84cNqb9eJExo1Srt3q7mZs7cYBF4xdS/dtz/2mPbu1Z136t57dc89kpQkimOO5eCaMOEbRDrnv/9eSaLx4y/frk//+1je4+oQfOP417791Cl1d2v27Oz5PMt7XAVeJY3j0jFbST/9pNmz1d6ut9/OjuXyxo2rQPANJQiyIV8sqlSSpNde04oV/1jeA/+N4BtQkujWW/XZZ5o2TVGklSv18svZewHN44oIvgGl5+qbmrRtm9raFMdas0bPPqtSieZxZQTfmNKzt6NHa+tWzZkjSRs3auFCnTjBfh5XQPANK23+ppu0ebM6OiRp61Z99x3fgYkr4AswGll6f/6GG7Rhg0aO1N13a8oUxTGfqMN/4Tl84/u/5+rTf+TIPf6JJX3j+98bdVGk/n51dWnqVJ05w9dm4F+Y8MNFerQ+l1NvryZN0m+/aeJE7dqlO+5Quaw8ezdITPjhIwiyrfv992vpUoWhDh1Sa6uOHVM+z5xHiuCHl/SZXGen3ntPYaivv1Zbm3p62MkjRfDDSxp2FOn557Vxo/J59fZmv2nBkAeP5Yah9CvxokgLFiiXU3+/Zszg2zKQ4qYdYIR3fcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwddGkihJan0R8EPwNRDHCgIFAc2j2gi+2uJYYajjxyXRPKqN4KsqihSG+uYbTZqk5cv15580j6oKEl5u1RJFCgL9/LNaW9XTI0lz5mj1ao0dqyRRyHsvhh6vsipJkmyYv/GGenpULErSDz9o5MhsSw9UARO+SqJIuZy6urR4sXI5DQxo7Fh1d2vcuGxXD1QBwVdDmvTBg2pu1sWLCkOFofbuVUsLtaOqeK1VQxjq9GktWKCLF1UoKI61YoVaWti6o9qY8EMujpUkmjVLe/Yon1e5rLY27dypXC57Gg9UDfNlaKXP4Vat0p49KhZVLuuBB7R+vQoFSdSOamPCD6FSSYWCdu9We7uSRHGs227Trl2aPDm7hwdUGRN+qESRCgUdParOTpXLCkMliZYv1+TJGhigdtQGE35IpJ+NuXhRM2fqiy80YoT6+/X009q8OTtXx2IeNUHwQyJ92PbCC1q3LrtR99BD2r9fN94oUTtqh+ArL6192zbNn5/VPmaM9u/XhAnZeTugVgi+wtLajxxRc7POnVMQKI61Y4fmzuVGHWqPm3aVlNb+669auFBnz6pYVBzrlVey2jljg5rL1/oCho/0wVuppMWLdeSIikX196ulRcuWZSt5FvOoOYZOxUSR8nmtX68dOxSGGhjQuHFasyb7PBzjHfWAPXxlpDP8wAHNnKnff1eSKJfTp59q6lS27qgjLOkrIK395El1dOjsWeVyiiK99Ra1o+4w4SsjjjV9uvbtU6GgUknz5umDDxQErORRX3g9Xq9yWZJef1379imfV6mkCRP0zjsMdtQjJvx1SVfsn3yiuXOz8m+5RZ9/rocfZjGPesSEH7w06W+/1XPPaWBAYahcTqtXUzvqF8EPUvqk7ZdftGiRTp5UGKpU0vz5euoplUps3VGnuEs/GJc+8bZqlbq7VSxqYECPPKL3388GO2dsUJ/Yww9GumLfskUdHdlDuNtv16FDGj+eMzaoawR/zdKn7j09mjJF588rl1OhoI8+UmsrH4ZDvWMYXZs4lpSdsenrUxiqXNaSJZoxI/sTUM8I/hqkAzyOtWSJjh5VPq8oUkuLOjsv/yAsUM8I/hqkVa9dq507VSwqinTfferq0qhREjfq0AjYw1+zvr7LPxRXLGrECLbuaBgEf72oHQ2EJf31onY0EIIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQvqqbdv2cAGH4AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "action": "('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "action": "('move', [3.5536204744267597, 13.188922194229244, 27.86589344065419])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b7428b1a281605975d28f55da1aed88f8693ec4032275233a6e0ec20c2eacb29"} +{"episode": 14452, "episode_seed": 1916196754, "split": "train", "timestamp": "2025-09-15T22:55:49.049560", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1916196754, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "action": "('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "action": "('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "action": "('move', [65.8532446016717, -103.87746487001915, 5.094431302557922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHSklEQVR4nO3cT6icVx3H4d95596bmIDdFLQr/0CgUteNCKGLdKNdXIIUjF2lmKRQA0lpobdYC9FNKCV10S6600B3uhJNLQZtFKl/NoJKKQQ3pYRYCG0huffOvMfF3EUXsSQuvJn5Ps9qlodhPu85c86cab33AjIMuz0A4P9H8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8Cy53qv33R7EXUPwLLPeq7Vqbec1gmeZtVZXrtSlSzuvETzLqfcax9rcrGPH6uGH69y5un69ZrPdHtZuEzzLaTarYagXXuhvvVVV9eyz9eKLNZmkNy94ltBsVisr9ctf9FdeqZXVaq3f9/m+vr7bw7oLCJ5lM441mdS77/ZTp8aPP67eaxja2bP14IM1m9Vkstvj21WCZ6nMt+Vv3Kznn29X/jVZXW2zaT12dDz2eNveriH+8966wwqWyHwOf/n8eOaptrratrfrq1+Z/f6Pk3vu2e2R3R0Ez/KYT+9/uNwPHx63ppNhqP37xl+/ORw8WONoeq+ypGdpzH9Rd+1anThZm9uTyaRms372bDt4cOdBQAmeZTIM9cwz9Y9/ttXVmk77t46MJ0+2+Tmc4OcEzzKYTqu1eu21unCh1tZqOq0HHqjzL0/2fqZK7Z/gOzwLb75R9/bbtb5eV6/WMNTevfX667W+XtNprazs9vjuJmZ4FlvvNQz14Ye1sdGvXq21tRrHOnOm1td3fn7DJ5nhWWzz6f2p0+P5H9fKyjCd1uHDdfFiTSZW8rcgeBbYfPv95z/rjz5aw6TNxrrvc/23v2sHDtiZvzVLehbVPOkrV+p7p2qsNo7Vx/Gll/qBAzWOar81wbOQ5gvTPtYTJ2bvv1971moc+5nT7dtHB7V/CsGzeHqv7e2qqh98f3zzN8PKStvcrEOHauO5Nn8QCP6/8R2exTPfqLt4sY4erY8+qt7rs/tnv7o4fO3rzTncpzPDs2Dmt1/fe69On+7Xr1drNY793Lmm9tsheBbJfKNue7uefrreeaetrNR0Wo99p44/MTh1vx2W9CyS+aW3V1+tJ5+stbXa2qr776/Ll+vee3d7ZAtC8CyMee1//lN/6KF+c3NorfbsqTfeqEOH3H69Xd4kFsM4VlV98O/67uP9xs1hdbVa1Y9+uFO7bfnbJHgWwPw/p6vVxkb97e/DZFJbW/2RR8bjJ8rt1ztiSc8CmJ/D/fQn/fiJ6r1tb/cvf6lfutS+8MXmfynviOC5281X7H/9y/jNb9S1D1prbd++unChjhxx+/WOCZ7FsLVVN27UZLJzH3b/fht1/wvBQxBPSAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH/UecidG3MisAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bbd7e6c2d0ab2d031cd06851a0a6397c09f7b3ac6c40be72a5ec450a465d08c2"} +{"episode": 14453, "episode_seed": 3149730749, "split": "train", "timestamp": "2025-09-15T22:55:49.684827", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3149730749, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "action": "('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "action": "('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "action": "('move', [-0.4113895129534996, 2.1581467622464574, 2.0015832926756616])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGmElEQVR4nO3aT24cZR6A4V+7Y4skYydxEAJlhzgCbGauxQnYcR/OwSFYjJCwHSd2ZCd2d8/CDklISBiNcBje59GnUvX/arXeqq+6e7HZbAZo2PrYGwDcHMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECP6mbTaz2XzsjaDq1sfegJzF4tX6en3d/69XvmcF/neLjcPNDVqt5vx8trdne/sPlbxeX4/FzCyuH/J7S/ggR/gbslrNcjk//jjffTeffjoPHsz9+7O/P/v7s7e3uf3J5s7drdu35zdjuZyt9551bTazXs9qdX1x8dZOwR6B1wn+hlxNpH76aX744d237+zM3t71uHfvjfXd3c3unfXe7uw+2NrdXezuzu7u7O3N1cpyOcvlB156tbregNfPFH7dHdAh+Bt1cjIzs709l5eztfXr0XuxXi9fvJiDgzk4eOfjFjOLmc3OzuLOnfnNuHt3bt/e3PvHav/+3N/fuv9w68GDuRr3718vb/mcmRnB35irtj//fP75r1k9X//879Xh463Ts/cemt98gpl58WJevJjj47dvXcwsZzYzi1u3ZmdndnZme/uNlb27q0/31/sPF/ufLR8+XDx4MN98M19/Pev1B84a+Dvxpd2N2qznYjWzntV6s14vnj+fo6M5OJjDwzk8fLlyNEe/rH75eX1wtHhysry4XFxezuXlrFavluv1zFx9cP/VpHxzdf+ryfy3387338/FxWxv/wlvlb8kR/gbtdianZfT+Jm5e3f29+err96+43Lm+uB/fj6Hh/P48RwdXa88fjyHB+ujX1ZHR3N8sjw73zo7m/Pzef58zs9fjcvLmVm/PB149aLz8r8A9+79uW+WvyDBf2TvnGC9fuUnn8yjR/Po0W/usvX6n6YuLubJk+txfDxPn87x8Tw53jx9vD4+WZ4+m9PTOTmZ05M5fTbPns3Tp3N2Np99NuML/BhT+r+6q8/nPcurn+4+2O3FxTx7dj1OT+fsbL78cr744o2//fC3J/j/e+/cC7x+cbH48O/5RAg+4e2dwswfmhfwNyN4CDHPgxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIeQ/zRgr7HBTaDoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6d7342ecb3e253bb8301dd087fbefd6bcf11e0e1cb8afda1524dbe2f82673a84"} +{"episode": 14454, "episode_seed": 4264754037, "split": "train", "timestamp": "2025-09-15T22:55:50.657349", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4264754037, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "action": "('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKmUlEQVR4nO3dTYxdZR3H8d+5c2cskWCMGkiIb5TIBnCD8Y1ocGzCpoKxaTQQgYiCUmKwphKTxpc2kpjYNBqViG+JMSw0pBFqGwgbcKHGLipQEsBoxKINbmihwMzcc12cG3wBm2lnpvde/p/Prp1FT5r7nf/znPOcmWY4HAaooTfuCwBOH8FDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChkKoMfDsd9BTCdpi/44TBN819/BJZpyoJv2yR54YVcd11+8Ysk/xU/cGLTFPxwmLZN22bHjvz0p9m8OTt25MiRDIfmPCxLM5yeVrrF/L59+cQncvx4BoO85jV56KGsX/+/63zgFU3NhO+SPnw4N92UZ54ZjfrvfU/tcBKmJvgkbZstW/LnP2d2NoNBPvWpXHut2uEkTEfwg0GaJrt2Zc+ezM5mcTHvfGduu23clwXTZgr28G2bXi8PPpjLL88LL6RpcuaZ2bcv733v6EvAMk16Lt1zuL/9LTfemOPHMzOTXi9f+5ra4VRMdDHd4mNpKdu359Ch9PtZXMzGjbn++iwu2rrDSZvoJf1gkJmZ3HFHtmxJkoWFnH9+Hnww55xjvMOpmNzgu6T/8Id86EM5diy9XmZmsndvNmxQO5yiie7m6NHcfHOOHcvsbNo227dnw4YMh2qHUzSh6XQz/Mtfzm9/O9q6X355vvQlR2hhRSZxSd9t3X/+81x9dWZns7SU9euzf79DdbBSEzfhu9oPHsy2bWmaDAaZm8vOnVm/fnT8BjhlkxV8t5I/fjzbtuWppzI3l7bNTTdl8+YsLtq6w0pNUEPd269JduzIvfdmdjYvvpgPfCA7d6Zp0u8b77BSE7SH78b7r36VTZsyGGQ4zBvekPvvz8UXew4Hq2NSMuoetj35ZL7whSwtpWkyHOZb38rFF3sOB6tmskr63Ofypz+l389gkM9+Np/8ZNrWSh5WzUQE3430nTtzzz2jt1/f9758/esewsEqG/8efmkp/X7uuy8f+1ieey5tm7POyt69ufTS0SM6YLWMecK3bfr9HDmSW27JsWPp99Pv5xvfGNVu6w6ra5xJdT9t9vnnc8steeSR9PtZWMimTbnhhlHt1vOwusa2pO/+2abJ7bfn5pvT643efn3ggZxzzuhLwOoaZ/BNkwMHctllee650bO3++/PBz/oqTuslbGF1TRp21x//WjrPhzmttvUDmtrnHfpFxZyxhlJ0ra54orceWfWrUss5mHNjHmYrluXts3b3pZdu3LGGY7ZwNoaZ/AzM1lYyGtfm927c955nrrDmhtn8G2bpaV85jPZuNHbr3A6jHMP/+yz+ehHs3dvZmcTW3dYe+MMfjDIX/+at7/dmXk4TcZ/lh44bca8b/bdBk6nMQdvJQ+nkzvjUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwZ/QcDjuK4DVJPgTappxXwGsJsH/f8eO5YknEnOeVw/Bv0yX98MP5z3vyVVX5dln0zRp23FfFqwCwb9MF/yBAzl0KL//fT7/+SwspG3NeV4FBP8yvV6SXHNNtm5Nkp/9LHfckX5f8LwKNEOf45cbDjMcZmEhH/lI7rsvZ5+dO+/MZZdlOHQbj6lmwr+SpknTZN26fOc7ueCCHDmSu+8e/T1MMxP+/1taSr+fX/4yBw/mi1/M616XwSBNM1rzwxQS/An95xp+MMjMTJK0reaZUj64J/RS7cNhZmZy4EB+85v0ep7SMaUEvwzdnP/1r7NxYzZvzuOPp9fLYDDuy4KTJvhl6Ob83Fyefjp//3u2bs3Ro07jMI0EvzzDYT784Xz720lyzz3Ztcs2nmnkpt3ydP9LbZsbb8wPf5imyV135cor3cBjugh+2do2TZOnnsoVV+TAgZx9dh54IO94h9M4TBHTadm6m/Pnnpvbb8+b3pQjR3LttfnLXxKv0zE1BH8yZmYyGOSSS/LNbybJ4cOjsS94pkR/3Bcwbbrmr7kmzz+f+fmcd54lPVPEHn5l/rN25TPxLOlXoFvP//Of2b07hw8nNvNMOkv6U9U9kDt6NJ/+dPbsyR//mB//ePQtACaVCX+qmmb08txb35okP/lJdu9Or2fIM8ns4VegG/Ivvpgrr8z+/TnrrNx1V+bn//1eHUwYwa9M1/aTT2Z+Po8/ngsvzP79OfdcJ/CYTD6UKzMzk7bNm9+c7343Z56Zhx/Oli1ZWPBqDZNJ8CvW7ds3bMj27UmyZ0+++tUsLY37suAVCH6VDAbZujWbNqXXy1veMnomb7vEhLGHX1X/+EceeSTz84lzOEwiwa+elwqXOpPKkn71dGv47uzN0aP5wQ9y661p2ywuWtszIZy0W1Uv7dvvvTc33JC5uVx4Ya6+2pN5JoQJv9q65t///lx6aRYWsm1bDh4cvWMH42YPvwa6PfxDD2V+Pk8/nXe/O3ffnTe+McOh0ziMl8/fGuhO3Vx00eiHXv7ud/nKV/zKGiaBj+Da6Jr/+Mdz663p9fL97+dHP0q8P8uYWdKvme5o7TPP5Kqrsm9fmiaPPpoLLhj3ZVGau/RrpvvtNK9/fXbtymOP5V3vyuxs4ik942TCr7HutblDh3L++ZmbG/fVUJ3g195Lr8qa7Yybm3Zrr1vbq50JYMJDISY8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/gX7KNufC1RO6AAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKmUlEQVR4nO3dTYxdZR3H8d+5c2cskWCMGkiIb5TIBnCD8Y1ocGzCpoKxaTQQgYiCUmKwphKTxpc2kpjYNBqViG+JMSw0pBFqGwgbcKHGLipQEsBoxKINbmihwMzcc12cG3wBm2lnpvde/p/Prp1FT5r7nf/znPOcmWY4HAaooTfuCwBOH8FDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChkKoMfDsd9BTCdpi/44TBN819/BJZpyoJv2yR54YVcd11+8Ysk/xU/cGLTFPxwmLZN22bHjvz0p9m8OTt25MiRDIfmPCxLM5yeVrrF/L59+cQncvx4BoO85jV56KGsX/+/63zgFU3NhO+SPnw4N92UZ54ZjfrvfU/tcBKmJvgkbZstW/LnP2d2NoNBPvWpXHut2uEkTEfwg0GaJrt2Zc+ezM5mcTHvfGduu23clwXTZgr28G2bXi8PPpjLL88LL6RpcuaZ2bcv733v6EvAMk16Lt1zuL/9LTfemOPHMzOTXi9f+5ra4VRMdDHd4mNpKdu359Ch9PtZXMzGjbn++iwu2rrDSZvoJf1gkJmZ3HFHtmxJkoWFnH9+Hnww55xjvMOpmNzgu6T/8Id86EM5diy9XmZmsndvNmxQO5yiie7m6NHcfHOOHcvsbNo227dnw4YMh2qHUzSh6XQz/Mtfzm9/O9q6X355vvQlR2hhRSZxSd9t3X/+81x9dWZns7SU9euzf79DdbBSEzfhu9oPHsy2bWmaDAaZm8vOnVm/fnT8BjhlkxV8t5I/fjzbtuWppzI3l7bNTTdl8+YsLtq6w0pNUEPd269JduzIvfdmdjYvvpgPfCA7d6Zp0u8b77BSE7SH78b7r36VTZsyGGQ4zBvekPvvz8UXew4Hq2NSMuoetj35ZL7whSwtpWkyHOZb38rFF3sOB6tmskr63Ofypz+l389gkM9+Np/8ZNrWSh5WzUQE3430nTtzzz2jt1/f9758/esewsEqG/8efmkp/X7uuy8f+1ieey5tm7POyt69ufTS0SM6YLWMecK3bfr9HDmSW27JsWPp99Pv5xvfGNVu6w6ra5xJdT9t9vnnc8steeSR9PtZWMimTbnhhlHt1vOwusa2pO/+2abJ7bfn5pvT643efn3ggZxzzuhLwOoaZ/BNkwMHctllee650bO3++/PBz/oqTuslbGF1TRp21x//WjrPhzmttvUDmtrnHfpFxZyxhlJ0ra54orceWfWrUss5mHNjHmYrluXts3b3pZdu3LGGY7ZwNoaZ/AzM1lYyGtfm927c955nrrDmhtn8G2bpaV85jPZuNHbr3A6jHMP/+yz+ehHs3dvZmcTW3dYe+MMfjDIX/+at7/dmXk4TcZ/lh44bca8b/bdBk6nMQdvJQ+nkzvjUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwZ/QcDjuK4DVJPgTappxXwGsJsH/f8eO5YknEnOeVw/Bv0yX98MP5z3vyVVX5dln0zRp23FfFqwCwb9MF/yBAzl0KL//fT7/+SwspG3NeV4FBP8yvV6SXHNNtm5Nkp/9LHfckX5f8LwKNEOf45cbDjMcZmEhH/lI7rsvZ5+dO+/MZZdlOHQbj6lmwr+SpknTZN26fOc7ueCCHDmSu+8e/T1MMxP+/1taSr+fX/4yBw/mi1/M616XwSBNM1rzwxQS/An95xp+MMjMTJK0reaZUj64J/RS7cNhZmZy4EB+85v0ep7SMaUEvwzdnP/1r7NxYzZvzuOPp9fLYDDuy4KTJvhl6Ob83Fyefjp//3u2bs3Ro07jMI0EvzzDYT784Xz720lyzz3Ztcs2nmnkpt3ydP9LbZsbb8wPf5imyV135cor3cBjugh+2do2TZOnnsoVV+TAgZx9dh54IO94h9M4TBHTadm6m/Pnnpvbb8+b3pQjR3LttfnLXxKv0zE1BH8yZmYyGOSSS/LNbybJ4cOjsS94pkR/3Bcwbbrmr7kmzz+f+fmcd54lPVPEHn5l/rN25TPxLOlXoFvP//Of2b07hw8nNvNMOkv6U9U9kDt6NJ/+dPbsyR//mB//ePQtACaVCX+qmmb08txb35okP/lJdu9Or2fIM8ns4VegG/Ivvpgrr8z+/TnrrNx1V+bn//1eHUwYwa9M1/aTT2Z+Po8/ngsvzP79OfdcJ/CYTD6UKzMzk7bNm9+c7343Z56Zhx/Oli1ZWPBqDZNJ8CvW7ds3bMj27UmyZ0+++tUsLY37suAVCH6VDAbZujWbNqXXy1veMnomb7vEhLGHX1X/+EceeSTz84lzOEwiwa+elwqXOpPKkn71dGv47uzN0aP5wQ9y661p2ywuWtszIZy0W1Uv7dvvvTc33JC5uVx4Ya6+2pN5JoQJv9q65t///lx6aRYWsm1bDh4cvWMH42YPvwa6PfxDD2V+Pk8/nXe/O3ffnTe+McOh0ziMl8/fGuhO3Vx00eiHXv7ud/nKV/zKGiaBj+Da6Jr/+Mdz663p9fL97+dHP0q8P8uYWdKvme5o7TPP5Kqrsm9fmiaPPpoLLhj3ZVGau/RrpvvtNK9/fXbtymOP5V3vyuxs4ik942TCr7HutblDh3L++ZmbG/fVUJ3g195Lr8qa7Yybm3Zrr1vbq50JYMJDISY8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/gX7KNufC1RO6AAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "action": "('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "action": "('move', [33.20366664851635, -40.47362584632118, -35.52280739057724])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI4klEQVR4nO3d3atldR3H8e9ae+/jCEPe2bUZ4U1BmZWSIV7oSJOPlE2Cjo+ZjoIV+HCjGamhqDlSavgQaA9EjYmpeaMmWKEgWIrdiKCplaOgjnrO3nutLrYUipPOOOM+Zz6v11+wOKz3/v7Wbz2cpu/7AjK08z4A4MMjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgi+K3qunkfAexogn93k0m1rebZ1Qj+XUynNRzW5s3V+vOwa3FGv03fV1UNBnXLLXX44fX441XW9uxCmn52jlPV99U0tWVLXXhhXXttLS7Wlw7sfn9Xu3p1dZ1pz67AWfw/s5++vq+HH67Fxdp99/rjg3Xud6fVV9+XH0Z2ASb828wm+aOP1uFf6Z99rmmb6rru+uvqtG+243ENh9U08z5E+AAE/06z5n/9q37dur4dttNpfXTP/nd3NPvt99aaH1YuS/p3mt2N++qxzbnn1njct209/0Jz6indyy/1TWNhz8pmwr+7rqvJpI45pr/zzma0UOOl/rjjmltvNeRZ2Uz4rVpYqKuvqo9/rB8v1WjU3HZbXXVVNU1NJvM+MtheJvxWTSY1HNY999RRR9V4XH1fq1fXpk118ME1ndZgMO/jg21nwm/VYFBdV2vW1MUXV1WNRvXKK3Xmmd1z/+gHg5pO5318sO0Ev1VN89YC/uyz6+ija3GxhsN68snmW6f3r73aV9nAY+UR/P/TNNW2tdtutXFj7fOJbjKp0ai54872mmua2ZJe86wsruHf2+zO/F/+3B98UP/6YjsY1HDYbdrUHnaYR25ZYZyt7212Z/7zX2h+dG3bttW2tbjYnrx++tRT1baGPCuJ4N+XpqmuqxPX12mndLNnbJ//1+Ck9d2rr1bXaZ4VQ/Dvy+xhm3ZQ3/t+87nPTieTfjisBx5sL7qon23ma54VwTX8Npjdfv/rY/2aNf0L/2xn79LcfHOtW+fOPCuDCb8NBoOaTOqTn2ouvaxt25pOa3GxzjqrHnmk3JlnRRD8thkOazqt44+vDRtqOq2Fhdq8uc45pza/ZAOPFcCSfjstLdWaNXXffTUa1Xhcp53aX39DY2HPMmfCb4++r4WFuvHG2muvGo9rMKgbftr/5MfdbAMPli0TfjvNHrm5447+G+uaNxarqVq10N/9hzrwQHOe5cuE305NU+NxrV3bfOfb027aVVNb3mg2bKhnn7WBx/Jlwm+//37Z8mvHTH9ze7tqVfPmm/26r/e3/bydfSfDpzJYbkz47ffW0zhtXb1xsM8+zZtv1nDY/OKXddkPutlNO7+lLDcm/Ac1u5i///7+y4fV4rjp+1q1W//bTXXooY1Xa1hunI8f1OzVmoMOai65pJ9Op01Tr7/RnHFG88wz7syz7JjwO8Z0Wm1bJ53Y3/KzWlholpbqkEPq7rtNeJYX5+OOMduiu/SHzf77N0tLtbBQ995b551XVT56yTJiwu8ws49ePvRQrV1bL79cbVujUd18c79uXTMe12g07+MDE34HGg5rMqkDDqgrr6zhoB8OazyuCy6oJ57oRyN35lkWBL8jzV6tWb++Tj+9lpaqbevpp+u0k7uXX+pt4LEcWNLvYLOncbZsqTWH9g/9qRkOazLpN2yojRub2V/a0zjMkeB3vNljdn9/sj/wi92/Nw+Go+qmddNNdcIJPnrJnAl+p5iFffvt/bHH9tOunU7qI6u7+x9oPv2Zxn+nY46Mm51i9tHLI49szj+/7aa1sFCvvNauP6F78cWq8gotcyP4nWI2w6fTOuecWnNIt7TUj0b12N8GZ5zx1taddRVzIfidZXatvscedd31zd57N+Nx7blnHXFEVXmRjrlxDb9zzT6GcddddcXldfkVte++VeWfzDM3gt/pZht4s+dtpc58Cf7Do3bmzjX8h0ftzJ3gIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIch/AFwNLtFvaWBXAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5175a3bc1ec21d7003c7e6c9de10c4f8bb6059a81645e334bcb5dacac3de9fdd"} +{"episode": 14455, "episode_seed": 1886891331, "split": "train", "timestamp": "2025-09-15T22:55:51.294569", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1886891331, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "action": "('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJf0lEQVR4nO3aXajkdR3H8c/MmeNDlgSRd7mKRlRQtCp0cVwhyhKxlkwqehDCyIuM2ILogSWCSOiiuy7EjAJpCwzbCi+sNDCNCCTyxrCILcuy3DrbsrnnzEwXM7omdHHOHnfm9Hm9rs6Z+Q/8LuY939//YTCdTgN0GC56AcCZI3goIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoMlr0Av5vTafZ2Dj172iUoV9XFm0wnU4XvQbgDDHhd950msEg//xnbr45x49nOMyJE7n11rzhDfO3YFEEv/NmVX/qUzl0aP7K1Vfn4ouTqJ0Fs6XfYeNxVlZy6FDe//4MhxmPc8kluffe7NmTycRpPAsm+J00q/13v8tVV+Xxx7O6mtEod96Z/fvnb8FimTg7ZjLJdJr19Xz84/njHzMc5uTJfOQj89rNdpaBr+HOmO2TRqPcfnvuuSdnnZXxOJddls9+NuNxBgNn7ywFW/qdMTs///nP8+Y358SJJDn33Pz0p7nsMqfuLBHfxB0wuyz/j3/kllty/HhGo0wm+eIX1c7S8WXcAbPgDx7ML3+Z1dWcPJl3vCMf/WimU7WzXGzpT9dsht91V971rqysZDLJxRfnJz/Jnj0es2HpGECnZTLJYJDf/CYHDszbPuec3Hrr/K672lk2gt++2QCfTPKZz+TIkYxGGY/zoQ9l//5sbKidZWRLv30bG1ldzVe+kgMHsrqajY1ccUV+9KOcf77NPEtK8Ns0O3V/8MFcd12OHs1gkBe/OD/8YdbWPFTH8rKl347Zj+SxY/nkJ/PUU/P7cJ/7XNbWMpmoneUl+G0aDnPwYB56KKNRNjZy3XU5cMBdd5adLf2Wzao+fDjvfGeGw2xs5KKLcu+9ufRSp+4sO/Noa2bP0vzpT/nYxzIeZzJJki99KZdeOn9mHpaZ4LdgOs1kkvX1fPjDOXIkZ5+dySS33JL3vMdmnt3Bl3QLZuP9iSdy/Him0zz9dPbuzac/PZ/zxjvLzzn81swm+Z//nM9/Pnfdle9+N/v2uQ/HriH4LZs1P53m4Yezd68Ldewmgt+OZ8/Ynbqzuwh+m2YX8Ozk2V0ED0XsR6GI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4Nk9ptNMJotexO42mE6ni14D/G+z7+dgsOh1/J8w4VlWk0nG4wwG89o3N/ODH+TgwRw7ljzzQ8AWmfAst83NHDmS730vd9yRRx5Jkvvvz1VXZTo19rdhtOgFwDOet3v/29/yi1/k8OF861tZX0+Ss8/O5ZfnxIn/OoytEDzLYTLJcHjqj9//Ph/4QB54YP7uhRfmrW/NW96S/fuzurrAZe52gmdxnjvSh8NsbGRjI+eemySjUf7whyS58srccEP27cvrXz//yLM/DWydc3gWYTI5dTUuyV/+km9+M3fckZtuyic+MU/6vvuyvp61tbzsZfOPTCZZWbGZPx2CZ3HW1/PrX+drX8vdd+fo0SR54xtz+HBe/vL/uiY3mWQ6zXAo9dNnS88Z8dz5PJ3mt7/N/ffn61/Pgw/OD3jFK3LFFXnf+3L++ac+NZtGNvA7R/C8wGapj0anuh0Mcttt+fKX5/+ureVNb8r11+d1rzv1qdkwN9J3mi09L4zn3WN79NE88kiuuSYvelGS/Oxnefvbc/31ufrq7NuXCy5Iks3NDAZZWVnQiisInhfYAw/k9ttz3305ejTf+U7e9raMx0ny6KN51avmeZ88mZUVqZ8BtvTskOc9+vbXv+b7389tt+VXv8rTTyfJeeflscfmR45Gec1rkmRzM8NhzjprEStuZMJzeqbT+cQePTM81tfzhS/kzjvzxBPzV1772lx7bW66Ka985anfhefdmeOMEDzbNUv92bPu8Xh+5+zvf89FF+Vf/8oFF2RtLddem3e/O+edt+jlkgiebXruBv7HP863v529e3PzzdnczGiUr341jz+ea67J2tr8mM1Nz8wsA8GzdbPajx3LN76Ru+/Oww/nqafy6lfnoYfykpfMD3h27M/uyUl9Obhox9YNBrnnntx4Y558cv7KhRfmve/NcJjhcP5U3OzEfjh07X2pCJ4tmo33PXvy5JN56Utz+eX54Adzww0555z5AbNn6XS+lGzp2aJZ8P/+dw4dyiWX5MorF70gtkDwnJ7ZhXqPu+8StvRslydhdyETHorYiUERwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wDXpEMvWeu2bAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "action": "('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "action": "('move', [5.68884338313504, -14.88684071562065, -10.888448387765854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAINklEQVR4nO3c34vldR3H8ff3e2ZcRUQUV6jM0AovckWTsBFaqV3dsrW8iM0yMxMxwaQ/JlIXswvRfkG7YitiausShMmqi4TiQq4YYilIokvNnPP9dHGOs+qVO+7uzPB6PO4Oc87wZTjP+fz4fs7pWmsFZOhX+wKAE0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwrDOtrfYVrGdzq30B8FG1VpNJVdVoVF232lezPnXNP0zWg2Go3nz0Y/MnZO1q7cgEvu9rcbHuu6+2b6+HH579lKNlSs+a09psPF+et7/8ct1157B7Vx16tV/8X7VWV19dw1Cj0ape6DpkSs8aMgw1mdT8/OzhG2+0/fu7nXcPD/2xxuO+qvq+hqHm52v//tq0yTz/qBnhWROWU+/7aq2efabtfbLuvaf9/YVW1fd9jUY1mdQwDJ85t1+4vIZhta94fTLCs8qGoVqbTc7ffrv27KlHH60HH2xvvVVV3fz8tPNW1TZ/pdu6pV3z7e7ii+3Rr5DgWR2tfeDW2osv1v33DY//uXvqqW46es/P19JSVdUpGybf/8HoW9e0hcu7jRurqpaWajQymV8JwXNCTTfel1sdhnrkkdp55+TpZ0avvdaquq5b3n5vn/9cu/Un/fZvtvM/200X9ktLNZ3eszKC5wSZTKq1mpurqhqP65+vtl27u7vunPzj5X487qpqOfUzzqiFhbrjjtq8uU45Zfby8bj63qj+cdm04/haPh43Tf3NN+vZ5+q3v2m/vn84/N9R1Whu9h5so74uvKiu3Fo339xdcMGR3zAM1XU15616LBjhOV5mt9O76vqqqueeqyeeqIceqr17q6q6vuZG01V623hWbdlSV13ZdlzXn3pq1XuROz97zAmeY2/6nlrOdfcf2q5dbd9f+kOHqqrm56u1Go+rarjwC91136stX6svL8yePR47Kn8cCZ5jY7ob9/5h+V//rl/uHHY/2L3wQvfOu62qmx6bqaquq2uvbT+6sb54aZ1zTlfv3Yefm5P68SV4Pq7pKn15jX34cB04UL/4+bBnT3vrPx/YT58b1Sc+WddfXzfdVOedNztRN13hv/8gLceP4Fm5YajJuOZPmj08eLD27auddw9/e7qr6uq9k7BV7eyzu4s2DTfc0O34bnfyybPnf+gWHSeA4FmJ9x96P3y49j3Z/vRY98AD9frrVVXz87MnVLVLLu6u2DzZcd1oYWH22g+t8DmRBM9RW/7Iyiuv1O9/Nzz2ePfE421p3FfVSSfV4mJVtVE3fGfHaNtVw9at3afP7aqOfHcFq0jwrMSTe9uv7m1/fap/6aXZ8bium23Ifeqc+vFNdc32tumi2ex9cbFGI6mvCYLno5oO7M8/X7fdVgcO1DvvfGDjfcOG9qVLh5/+bPTVK2rj2bOXOB631ji+xEc1Pfp61ll18GC9+25VdVVtGOr887srtwy33tZfcsmRQXwyqb53PG7NMcJzFCaTGo3qllvqnnvq9NPrssvaN75eP7yxO/PMI8/50MfgWFP8B+YoTNfht99ep51W27bVtm2zsqfj+bRzta9lRnhWzvG4dUfwHLXpp2KmX1Mj9fVF8KyEhfo65YYJK6H2dUrwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOT/VYjN4QZk3WQAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d1590b94bd46a16f0a8cf7822f67bb79b542c4a98ef811dc2e2836ac8f86b718"} +{"episode": 14456, "episode_seed": 552060402, "split": "train", "timestamp": "2025-09-15T22:55:51.921151", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 552060402, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "action": "('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "action": "('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "action": "('move', [-2.701015348358165, -0.7886416446446867, -43.06301345974905])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1e6a1a052e043fc24358f35bf5c47cc8e3a82cb8e19863b6603bbb81ea408f5f"} +{"episode": 14457, "episode_seed": 2075465730, "split": "train", "timestamp": "2025-09-15T22:55:52.550864", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2075465730, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "action": "('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "action": "('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "action": "('move', [1.4113486362618126, 2.234529429420135, -29.158986145710372])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "df71019a94a86f2404f7a6928d6adfe61511ab54051b9c428c6e9d85ab3f4b7d"} +{"episode": 14458, "episode_seed": 2575437124, "split": "train", "timestamp": "2025-09-15T22:55:53.553266", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2575437124, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "action": "('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "action": "('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZ0lEQVR4nO3db2xV9R3H8c859962pPypf2JIE5ZANHuCMSnV6dgGxgghBUIjBIgVqDHYJwyc25KyLTrggTE2U/5IZqTC0KDRGArBVFADTyqYSHygLDpNhxoqSZlZQ6H03nPOHpy7C24ZUB+snvt5vx7woL0kJ4H3/f7O75xzb5AkiQB4CMf7AAD8/xA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYLH91QqKYrG+yAwRkGSJON9DMieJFEQSFIUKZcb76PBdWPCY2ySpFz7rl06dky5nOJYTI2sIHiMWRDowAGtXasVK/TqqwpDBQHNZwNLeoxBHCsMdeqU5szR4KAk1dSor0+zZl1e5OOHjAmP65XWPjSkVas0OKjaWgWB1q7VzJnjfWS4bgSP65IkimNdvKiODn34ofJ5Xbqke+/Vk0+qtlZxzHjPBoLHdYlj5fPatk2vvaZ8XqWSpk3Tjh266SZFkUL+H2UE5/C4tnQx39ur5ct14YKSRDU12r9f8+ZxWS5jeGfGNSSxwlCffqr2dg0NKUkURdqyhdoziQmPq4pjheH585o/X319qsknoyU9/HCwaxfb8pmUH+8DwA9XkiRRGIbShvVJX1+Qz2s0CH7yC3V1jfeR4ftiSY//IVEcBPm//3X7r/p3dasQxlGgHxWP71n/cUOD4ihhvGcRweMK6X2zkuK4JOXO/u3IL49s/NOEfCFIEk2Kh7c+XvrxnROiKAlDcs8kzuGhcuSVkR3HURTkCsGp4/9YOC/uv3hzmCiOtOkPxd9vKpSkPGfvmcWE9xZFiiIFgYJAIyN6/321tCSr28Ncaei8fr35xv7hm2uCJI60fLl+98dCEisfs5jPMCY8pG++UV+fdu7UO+9IiqTc6S/Wb5ux9ZmkUFCxGDQ16b33NGUKO/OZxy69t88+U2+v9u3T8ePpD+Kf/iy3csGf/zJx6zMKw6BUUmOj9uzRlCmSqD3zCN5J5Vw9vXXugw/04IP6/PPyb1uXxIuWhA8sOnr6xsd/Xr6jplDQs89q5szy30DWEbyBykL8PwZ0fb0uXFAQqL1dbW3RrDtzkyd+0a+OJcXhf+bz+aBUUmenli5VqcQddVWCc/iqlj7XknY+MqKjR9XZqcce06pV5ZF97Jjq6jSrKckXAunS+dKyFeHBQ2FdnUZGtGyZ9u0r7+ixmK8OBG/gq6905Ih27NDJk5I0e7Z6ezVxYmXyJ1J0Kc4Vgt/8NujqUqGgYlF33KHeXk2dymK+qrCkr15JopMndfiwurvLJ+r5vObMUWurCoUrXxbHQb427O5WV5fCUKWSbrhBL7ygqVN5PKbaMOGrSBxLujyOd+/Wxo0aGJCk+nq1tmrxYrW2Kv+dd/l0zJ84oZYWffutgkBRpL171dbGRbgqxITPvkqXldTTn9TVaWBAt9yi1avV2qq77lIupyRRqVRpPn3h2bNqb9e5c+VPtujsVFsbs706MeEzK/3QqUqUFy9q924dOKDNm9XcLElDQzp0SM3Nuu228mvS3fZ/T+3KG8WSJerpUbpR98ADeuUV1dRIXHWvRkz4zAqCcu2nT+v11/X88+rvl6S771Zzs+JYkydr5cryi9Pt+isW8+mkz+XU2ameHhUKGhnR7bfr6adVW8t4r1oEn1lRpBMndPCgXnyx/JHRDQ265x41NSlJFIblCZ7++V/5xrEKBb38srZuLX+ZxKRJeu45zZhx5ZIf1YYlfTbFsdat0549Gh6WpMZGLVyopUt1//2Srrnblv7+o4+0aJHOnFEup2JR3d1qb2e2VzneyTPr3DkND+vWW7VmjRYsUFOTpPLXO1412bT2wUGtXq2vv1Y+r2JRGzZQuwUmfGZ9+aUOHtTixZo2TZKiSEly5Z7c1S1bpjfeKN9jM3++9u8vf7EEqhvBZ1+6XV+5hfaq0vPzTZv0xBPli3DTp+vddzV9OlfdLRB8xo0l03TF/uabWrmyvPavr1dPj+bOZTHvgnP4jBtj7Z98onXrLu/DP/WU5s79zuV8VDeeirCQLvkHBtTerjNnFAQaHdWaNXrkERWLrOSNsKSvfum/cKmkjg51d6umRqOjmj1bb72liRN59NULE95CEGj7dnV3q1DQ6KgaG7V3ryZPpnY7TPgql27qvf22WlrKX+o8YYJ6enTffWzLO2LCV7PKPTYrVpTvpZW0ZUu5dhgi+CqXXqR/9FEliUZH9dBD6uhQqSTxMJwllvQudu7U4cN66SU1NPCpVb4IvvpVztVHRlRXx6m7NYK3UImc2s2xsLNA7UgRvBFqB8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIv3KOlTOCFba8AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "action": "('move', [-0.8948092711869652, 0.07970757953783562, -27.51954935645391])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3227cd707783dbb6ad9fded0050446ab13b6b0d52c20bca4fb4dd90de88e0ba4"} +{"episode": 14459, "episode_seed": 3342093238, "split": "train", "timestamp": "2025-09-15T22:55:54.193848", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3342093238, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "action": "('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "action": "('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "action": "('move', [3.4607437845725713, -0.42358137288816516, -19.37220499261872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGE0lEQVR4nO3bT4+dVR3A8d+9t6PQpBpnI/gn1SbY2JKilJiw4R2QGHeseGusWPIS+gK0NCGthoIgmhqdBJqJiX/odO7jYnAKSUlMy3SU7+ezeFbnuTmb73POee69q2VZBmhYn/YEgCdH8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDyJnTngD83zs8nMPDWa9nvZ7Valar057Ql1sty3Lac4CvlcPDB9n/r8VvhYfH9eabc+3avPLKXL48V67Mzs5Dxnx+YT3Fp4AVHh7RssxqNffuzWuvzVtvzdmz89RTc+7c/OiH91/6xfrnL66vXp0LF2Zn5yGFHx7OzGcbgSfZv+DhER0F//HH8/zzs7f3kAGbzex++/DFl1YvXl1fvTqXLs3ud+bct+bs2S8Mu39/tts5c2bWJ/8OXfDwiI6Df/XV2dubv/5l+ee/luNvvlbr2azn8PALm/kfn99e+dn6hRfm8qXlB99fnvne+tln5+mnn9ycBQ+P6969uX173n9vee/28uEf1r//YD78YPnjn5aZ1cxqZlar2dmZZZmDg+Oblp3NcvGn6+eem4s/WZ757vLLX63Pn5/t9mTXecHDV+zu3blzZ/58Z/vRR+vf/m5u3Zp33pn9/QcDNptZr+fg/syD+LZvvLF+/fU5OHj4O7+virf08LiWZbbbz66bzezuzu7uXLmynpntdvb3Z39/9vbm5s25cWPe/vXhzVvz6cHm+PZvfHMODtafW/xPkODhca1Ws/lPv8fxH53wj/u/cGFefnlm5t6nm7//Y959d65fn7evb2/8Zrn7t80nnzz4hJOdqi09nJyjvI6uX3Y439+fa9fm8uW5eNEZHr6O/psHwUkQPJyyo1PA0e/wT5rgIcTfYyFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAh5N/OjNo5thnwTgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8b49edda5ca7475ce83d5e19014c4ac444d85e585ee5e4af5850e8166c10c1f1"} +{"episode": 14460, "episode_seed": 4133529331, "split": "train", "timestamp": "2025-09-15T22:55:54.821823", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4133529331, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "action": "('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALaUlEQVR4nO3dW6gVdR/G8WfWQXdtTU3rIlC7MEQJz1hSbcFzlIEZiRKSSqGGoRJoxa6IJMQChW42eCd5IMpsY+wSTTBNSSU3BJmkaRbsrWamoLnWzLwXM/n6xsuLh7XXrPU+38+V+3AxjH79/ec/s9YK4jgWAA+5rA8AQPUQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMGjXsWx4jjrg6g3BI96FQSKIkVR1sdRVwgedSmOdfWq8nnlciqXsz6a+kHwqD9hqCDQ5s165hn98IMKhawPqH4EMZdBqCtRpCDQzz9r0iQdP64BA7R4sVasUBwrCLI+uJrHhEedCQIFgdau1fHjamjQqVP6/fesj6l+MOFRT5IxvmePmpqUyymKNGSIDhxQz55ZH1md4OoHdeavv7R8uSTlcsrltGYNtd8ElvSoG8nV+7p1OnhQ+bzKZc2Zo8mTFUXckL9RLOlRH6JIuZy+/14TJujsWUkaMEDbt2vo0PRHuBGcJ9SBOE7H+JtvqrNT+byiSEuWaOhQlUrUfhOY8KgD5bIKBW3cqHnzVCopjtXUpLY2NTQojgn+JhA8al2yYu/o0JQpam9XoaBCQW1tGj9eYah8Puvjqyv834ialsyjMNS6dWpvT/fqFizQ+PGKY2q/aUx41LTkxvvBg5o4UZcvq1TSgAE6dEh3381K/lZwzlDT4ljlslas0J9/pt9ZvVr9+vEU7S0ieNSuZENu/Xrt2qVCQaWSZs7UjBm8JPbWsaRHjUoes/n1V40Zo85O5XLq3Vu7dmnYMPbqbh0THjUquXp/7TV1dCgIFIZatkzDhimKqP3WMeFRi5Ib762tmjVLpZLKZY0erS++UO/ekgj+1jHhUXOSGd7ZqXff1eXLiiLdeafeeEN9+0rUfnsIHrUoCLR+vb75Rt26KYo0c6aeekrlMrXfLpb0qC3Jc3Xt7ZowQefPS9I99+jwYd13H+9pUwFMeNSW5G0tmpt17lz653feofaKYcKjhiRVb96s2bNVKKhc1sSJ+vxzFYvUXhkEj1qR1H72rEaP1unTimM1NurLLzVuHK94rxjOImpF8vbyzc06dUqFguJYS5Zo3DiFIbVXDCcSNaFcVrGonTu1aZNyOV29quHDtWgRl+4VRvDIXnJZef683n5bFy4ol1P37lq5Uv37q1xmvFcS5xLZi2MVCtqwQXv3pq94f+IJPfuswlDFYtYH9/+FTTtkLNmQO3ZMjz6qM2cUBLrrLn37rQYNYj1feUx4ZCx5YcyqVersVKGgKNLrr1N7V2HCI0tJ1du368kn0xvvDz2kr75SQ4Mkgq88gkeWokiXLmnsWB09qmJR3btr+3Y1NTHeuwpLemQmuXpftUpHjyqfV6mkefPSx2yovYsw4ZGN5F1rDhzQ1Km6eFFxrMGD1damgQN5Q5suxIRHBpI3qwtDvfWWLlxIv7lsmQYOVKlE7V2I4JGBMExf8d7Wlu7MT5miF19UGKrABxp3JZb0qLbk0v3ECT3+uI4dUxCoRw/t2qVRo3iRTJfj7KKqku33MNR77+no0XRh//LLGjWKT4mrBiY8MrB7t6ZNUxiqXNaDD2rfPjU2Uns1cI5RbRcvaulSXb2afrlmjXr25D5clRA8qif5xJitW3XkSPoZUgsWaPJkscqsGpb0qLZSSS0tWr1acaydOzV4MDfeq4fgkY3vvtOZM5o8OevjMEPwyEDywTISz8xXG8EjG2GYvu8FqongASPs0gNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYJHRcVx1keA/4XgUSFRpChSEKRfUn5NInjctjCUpL17NWSI1q3TH39I+nf5qCUEj9uWzyuOtWWLfvxRS5dqxAi9/75Oncr6sPBfEDwqIY41fbpmzVKfPjp5Uq+8okce0YcfSlIYKo5VKimKsj5KEDwqIgg0dao2b9ZHH2nRIvXqpdOndf68pPTCvlhULpfGj+wEMX8BqIgk5kJBkr7+Wu3tmj9f3btLUkeHmpv10ksaMSL95eRfHdf5VUfwqKhyWfn8f+zVB4FWrtTq1erbV5Mm6dVXNXx4+tMoUo41ZlVxulFRyYRPpv21WdLYqP79de6ctmzR2LGaNUv79+vKFWqvPiY8quLMGX3wgbZt05Ej6Xdmz9bChXrsMQWB4jid9izyuxjBo+tdW7p3dGjDBn38sfbvl6Q5c7Rhg+JY+fw/fxNdg+BRFXGsclnFoiT99ptaW9XWpmXL1NSkKFK5rN27NX58usmnvy/+UWkEjyqKIoVhmv2lS2poSHf49u3T1KkaPFgvvKDnn0+zT3YBGPgVxdlEFeVyKhbTp+579FChkI7xHTt05YoOHdLChRo5Ui0tOndOQUDtFceER0b+sWjftk0tLdqzR5cuSdIDD2jJEk2bpvvvT1cELPIrgeBRA67t1bW2atMmtbam2U+frk2b1NiY1h6G7OTfJpZMqAHJU7dhqOnTtXGjPvtMixerWzeNHKk77kgvAUql9IL/+jv8uElMeNSSaw/qxbEOH9bAgerXT3Gss2c1d67uvVfNzRo0KP3l5Cl9Bv7NIHjUmDhWGKZP7OnvS/dPP9WMGZLUq5eeflrLl2vIkPTuPdf2N4PgUZOSdfu1AX7ypNauVWurfvpJkopFzZ2r+fM1Zoy6dcv2SOsLwaN+/PKLWlrU2qr2dknK5fTcc1q7Vn36MOdvEMGjHly/zj9xQlu3auNGHTqk0aO1Y4f69OGZ3BtE8Kgf1z+od/q0PvlEY8fq4YcZ7zeO4FFvkrt0/9jVw40heNQn7sndEoIHjLDPARgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkX8BTGZCQBTtpDkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "action": "('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALE0lEQVR4nO3c3YtVVQPH8d/e5xzfSwZLjUqFFJVodNQmybdeUUyjupEiJITAiqCii7rwD+giMOjGa0mTyNQpC9S0NF8ZTSWK6M0XAk3LSmScM2ev52LvrCfiwZ7Z5+w9/r6fO7dzsTjO17X23uusKIQgAB7iogcAoHUIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkeRkkQhFD0IJ9WiBwBTISgExcw4rcXnjWJEkeJYn3+us2eLHooTgkdLpQv4ixe1apVmztQ992j9elb1rUPwKMDly9q4UYcP69dftWmTkqToAdkgeLRaCGpr05IlimNVq9q7V2fOFD0mGwSPlooiJYniWHPnZo/oe3u1Y4ckFvatQPBotSiSpMmTNWGCGg1J2rJFIviWIHi0Whr8bbdp7tzsyt69unRJcUzzTUfwaLUoUr2uSkV33qkoUhTp55+1c2f2Zh5NRfAoQDrJd3ZqzBiFoJ4ebd2qKMpW+GgegkcBKhUlidrbNWVKduXQIfX0qFJhkm8ugkcB0sl82DB1dGRXTp7UkSOKY97JNxfBoxjpI7r779d110nS2bP69FNJrOqbi+BRjDhWFGnBAo0ZI0khqLtbSaJqlVV9ExE8ihFF6uvTiBGaMSO70t2tL79kVd9cBI/CpN+NfeghxbHiWN99p+PHJXbgNBPBozBp8IsWaejQLPKDB5UkPKtvIoJHwUaP1qxZWeE7d+rsWUURwTcLwaNgIeiRRySpVtPRo/rhh2KHc40jeBQpBEWRHnwwW96HoN27OfqqifhcUbxx43THHarXJen999XbW/SArl0EjyKlm+qHD9fixYoiVSo6cCA7D4Pb+GYgeBSs0VAca/78bCV/+bJ27ix6TNcugkfBrpyHMXFitqrfvLnYEV3LCB4FS1/C3XKL5s3L/rhnjy5dyv4jQL4IHgVLvzlXq+muu7IrFy5o+3ZJ7LHNH8GjeOlk3tGhsWMVgup1bd0qEXwTEDyKl35Vtr1d7e3ZlYMH1dvLHtv8ETyKl55yN2TIn9+cO3VKhw5lZ1ojRwSPUki31i1YoJEjJencOX38scSqPm8Ej1JIV+93362bb86uHDyoep2zq3NG8CiF9DyM66/X9OnZlS++0FdfZcddIi8Ej7JIJ/PFi1WtKop04oSOHJFY1eeK4FEWlYqiSIsWadgwSUoSHTokiVPu8kTwKJEQNGqUOjuzwj/5RKdPcx5GnggepfPww5JUqej4cX3zjcQ35/JD8CidhQuzYy2jSPv2KQRVKkWP6VpB8CiRdI/tuHFqb1e9rhD04Ye6dEliks8JwaN0Bg3SkiWSVK1q//7sPAzkguBRLkmiONZ990lSHKte165d2dF36D+CRxlNnKhJk7LD7TZtovbcEDzKJX0JN3as7r1XUZSdh/H770UP61pB8CiX9BtytZpmz85W8r/9ph07JLbc5YHgUVLTpummm5QkajT0wQcSD+rzQPAonfSrsrffrhkzFEWKYx04kJ1pS/P9RPAonShSb68GD9bMmQpBSaLjx7V9e3b6HfqjWvQAgH+Qbq2bM0c33qi2Nk2bpqFDJfG4vr+iwCIJ5XPlcd2+fRo/XlOm/HkR/UHwGAD6+rLd9egnlvQorxDUaCiKVOX3NCfM8IARFkmAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYJHrkIoegT4XwgeOUkSJYmiKPsj5ZcSwaPfGg1J+uwzTZ2qN97QhQuS/iwfZULw6LdKRSFowwZ9/bVeeEHTp+v113XyZNHDwj8geOQhBC1dqmXL1NamEyf08suaM0dvvSVJjYZCUL2uJCl6lCB45CKKtHCh3n5b77yjZ57RyJE6fVq//CIpu7Gv1RTHWfwoThT4B0Au0pirVUnas0fHjmnFCg0eLElnzmjVKj33nKZPz344/a3jPr/lCB656utTpfJfz+qjSK+8otde06hReuABvfqqpk3L/jZJFLPGbCk+buQqneHT2f7KXDJ8uG69VefPa8MGdXZq2TLt36+eHmpvPWZ4tMRPP+nNN7V5s44eza48/rhWrtS8eYoihZDN9izym4zg0XxXlu5nzmjtWr37rvbvl6QnntDatQpBlcrffxLNQfBoiRDU16daTZJ+/FFdXfroI734oubPV5Kor0+7dmnBguwhn/64+UfeCB4tlCRqNLLsL17UkCHZE769e7VwoSZP1tNP66mnsuzTpwBM+Lni00QLxbFqtWzX/YgRqlazaXzbNvX0qLtbK1eqo0Nr1uj8eUURteeOGR4F+duiffNmrVmj3bt18aIkTZqk55/XokWaMCFbEbDIzwPBowSuPKvr6tL69erqyrJfulTr12v48Kz2RoMn+f3EkgklkO66bTS0dKnWrdOWLXr2WQ0apI4ODR2a3QLU69kN/1/f8ONfYoZHmVzZqBeCDh/W+PG64QaFoHPntHy5Ro/WqlWaODH74XSXPhP+v0HwKJkQ1GhkO/b0x637pk169FFJGjlSjz2ml17S1KnZ23vu7f8Ngkcppev2KxP4iRNavVpdXfr2W0mq1bR8uVas0KxZGjSo2JEOLASPgePUKa1Zo64uHTsmSXGsJ5/U6tVqa2Oev0oEj4Hgr+v877/Xe+9p3Tp1d2vmTG3bprY29uReJYLHwPHXjXqnT2vjRnV2avZspverR/AYaNK3dH97qoerQ/AYmHgn938heMAIzzkAIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH1FDxKMvmCjKAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "action": "('move', [-1.0807049878193198, -19.474051784552245, 47.90432878577102])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALE0lEQVR4nO3c3YtVVQPH8d/e5xzfSwZLjUqFFJVodNQmybdeUUyjupEiJITAiqCii7rwD+giMOjGa0mTyNQpC9S0NF8ZTSWK6M0XAk3LSmScM2ev52LvrCfiwZ7Z5+w9/r6fO7dzsTjO17X23uusKIQgAB7iogcAoHUIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkeRkkQhFD0IJ9WiBwBTISgExcw4rcXnjWJEkeJYn3+us2eLHooTgkdLpQv4ixe1apVmztQ992j9elb1rUPwKMDly9q4UYcP69dftWmTkqToAdkgeLRaCGpr05IlimNVq9q7V2fOFD0mGwSPlooiJYniWHPnZo/oe3u1Y4ckFvatQPBotSiSpMmTNWGCGg1J2rJFIviWIHi0Whr8bbdp7tzsyt69unRJcUzzTUfwaLUoUr2uSkV33qkoUhTp55+1c2f2Zh5NRfAoQDrJd3ZqzBiFoJ4ebd2qKMpW+GgegkcBKhUlidrbNWVKduXQIfX0qFJhkm8ugkcB0sl82DB1dGRXTp7UkSOKY97JNxfBoxjpI7r779d110nS2bP69FNJrOqbi+BRjDhWFGnBAo0ZI0khqLtbSaJqlVV9ExE8ihFF6uvTiBGaMSO70t2tL79kVd9cBI/CpN+NfeghxbHiWN99p+PHJXbgNBPBozBp8IsWaejQLPKDB5UkPKtvIoJHwUaP1qxZWeE7d+rsWUURwTcLwaNgIeiRRySpVtPRo/rhh2KHc40jeBQpBEWRHnwwW96HoN27OfqqifhcUbxx43THHarXJen999XbW/SArl0EjyKlm+qHD9fixYoiVSo6cCA7D4Pb+GYgeBSs0VAca/78bCV/+bJ27ix6TNcugkfBrpyHMXFitqrfvLnYEV3LCB4FS1/C3XKL5s3L/rhnjy5dyv4jQL4IHgVLvzlXq+muu7IrFy5o+3ZJ7LHNH8GjeOlk3tGhsWMVgup1bd0qEXwTEDyKl35Vtr1d7e3ZlYMH1dvLHtv8ETyKl55yN2TIn9+cO3VKhw5lZ1ojRwSPUki31i1YoJEjJencOX38scSqPm8Ej1JIV+93362bb86uHDyoep2zq3NG8CiF9DyM66/X9OnZlS++0FdfZcddIi8Ej7JIJ/PFi1WtKop04oSOHJFY1eeK4FEWlYqiSIsWadgwSUoSHTokiVPu8kTwKJEQNGqUOjuzwj/5RKdPcx5GnggepfPww5JUqej4cX3zjcQ35/JD8CidhQuzYy2jSPv2KQRVKkWP6VpB8CiRdI/tuHFqb1e9rhD04Ye6dEliks8JwaN0Bg3SkiWSVK1q//7sPAzkguBRLkmiONZ990lSHKte165d2dF36D+CRxlNnKhJk7LD7TZtovbcEDzKJX0JN3as7r1XUZSdh/H770UP61pB8CiX9BtytZpmz85W8r/9ph07JLbc5YHgUVLTpummm5QkajT0wQcSD+rzQPAonfSrsrffrhkzFEWKYx04kJ1pS/P9RPAonShSb68GD9bMmQpBSaLjx7V9e3b6HfqjWvQAgH+Qbq2bM0c33qi2Nk2bpqFDJfG4vr+iwCIJ5XPlcd2+fRo/XlOm/HkR/UHwGAD6+rLd9egnlvQorxDUaCiKVOX3NCfM8IARFkmAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYJHrkIoegT4XwgeOUkSJYmiKPsj5ZcSwaPfGg1J+uwzTZ2qN97QhQuS/iwfZULw6LdKRSFowwZ9/bVeeEHTp+v113XyZNHDwj8geOQhBC1dqmXL1NamEyf08suaM0dvvSVJjYZCUL2uJCl6lCB45CKKtHCh3n5b77yjZ57RyJE6fVq//CIpu7Gv1RTHWfwoThT4B0Au0pirVUnas0fHjmnFCg0eLElnzmjVKj33nKZPz344/a3jPr/lCB656utTpfJfz+qjSK+8otde06hReuABvfqqpk3L/jZJFLPGbCk+buQqneHT2f7KXDJ8uG69VefPa8MGdXZq2TLt36+eHmpvPWZ4tMRPP+nNN7V5s44eza48/rhWrtS8eYoihZDN9izym4zg0XxXlu5nzmjtWr37rvbvl6QnntDatQpBlcrffxLNQfBoiRDU16daTZJ+/FFdXfroI734oubPV5Kor0+7dmnBguwhn/64+UfeCB4tlCRqNLLsL17UkCHZE769e7VwoSZP1tNP66mnsuzTpwBM+Lni00QLxbFqtWzX/YgRqlazaXzbNvX0qLtbK1eqo0Nr1uj8eUURteeOGR4F+duiffNmrVmj3bt18aIkTZqk55/XokWaMCFbEbDIzwPBowSuPKvr6tL69erqyrJfulTr12v48Kz2RoMn+f3EkgklkO66bTS0dKnWrdOWLXr2WQ0apI4ODR2a3QLU69kN/1/f8ONfYoZHmVzZqBeCDh/W+PG64QaFoHPntHy5Ro/WqlWaODH74XSXPhP+v0HwKJkQ1GhkO/b0x637pk169FFJGjlSjz2ml17S1KnZ23vu7f8Ngkcppev2KxP4iRNavVpdXfr2W0mq1bR8uVas0KxZGjSo2JEOLASPgePUKa1Zo64uHTsmSXGsJ5/U6tVqa2Oev0oEj4Hgr+v877/Xe+9p3Tp1d2vmTG3bprY29uReJYLHwPHXjXqnT2vjRnV2avZspverR/AYaNK3dH97qoerQ/AYmHgn938heMAIzzkAIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyH1FDxKMvmCjKAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f79144c746cb601bb677595202931b3ee018ab65ffea6033881e10e7e8433540"} +{"episode": 14461, "episode_seed": 701042897, "split": "train", "timestamp": "2025-09-15T22:55:55.843536", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 701042897, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "action": "('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "action": "('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALF0lEQVR4nO3db2hV9QPH8c+59266itL8M/IPbBFaiKm5QWQqlGYFESsskySMehJU4JMeFGnag55IUPQgCCFCRcmCJDAtlyUYDtwcG4QphkvzXxliOu/uvef34Hx/s9+P/LO5c+7w8349krPt3gPuve/3fM+fG8VxLAAectXeAQDZIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4IeNOFalUu2dwA2O4IeNKFIup3K52vuBGxnBDxu9vTpyRPm8SqVq7wpuWAQ/PFQqeuMNtbRo714VCiqXFcfV3ifcgKKYX6xMxLGi6PJf6OrS9OmSNHGi1q7Vs89e8WeAQWKET1cch9H6suVGkeJYd96pLVs0dqyOHtXy5VqzRsUitWPIMcJnpLdXI0de7Zv27dPLL2vfPklasUJr116a2BM/hgLBpyUZ1U+dUkeH2tvV2alPPrli8+Wy8nmdOKFXX9WePdqwQXPnhlepVJRjLoYhQPBpKZVUKGj9ej3/fNiye7fmzLni9D4J+8IFdXerqSl8a7Go2tow1DPO4/owbqQlaXPCBI0Zo9pa5fPavl3SFS+uyeUUx6qrU1NT+L4LF/Taa1qxQlEUjvaB60DwaUmCnz5dU6eqWFS5rNbWa/uxfy70ffaZPv5Y77+vxYv1559hek/2GCyCT0sup1JJY8dq2rSw5fBh9fQon7/aFbRRpHw+/MF48kk995wkff65Fi7U/v1hFsBFuBgUgk9RMhI3Nyufl6TTp/Xjj9dcaxJ2fb02bNCqVaqr0759WrRImzYplwtfBQaI4FOUrKzff78mTJCk3l7t3j2QI/FkkI9jrVypdes0ebJOnNCyZVq5UidPprXTuKERfIqSe2HuvluTJoUt3d36+28VCgMZnqNIpZKWLNEXX+iBB9TXp9Wr9csv4S8H4zwGguBTlCyx1dSouTlsOXhQXV2KogHeFFcoqK9PTU368ku1tOj113XffeEN+mcBwDUg+HQls/qHH1ZdnSQdO6b2dmkQhdbUqFzW+PHauFFr14aXi2MdOSL9908LcDUEn65kcW3uXN16a9jS0aFKRfn8wJtPfmbECOXzKpdVLmvzZs2YoZUr1dvLvfS4FgSfruRAe/TocC+cpLY2HTs22FX2/gl8ctv8V1/pr7+0erVefFFHj3IvPa6K4FOXNL9okSTlcuru1uHD0vUcdyevWFur997TkiWStHGjnnpKe/aEe+mByyD4LESRHnlEkvJ5Xbyozs6w8bpeUdLkyVq3Tu++q5oa7d2rp5/W+vVh5s8yHv4NwacuaXPKFDU0qK9Pknbt0oUL133tTLLWX1enN9/Upk2qr9fvv+ull/T22yqXufAe/4rgMzJihBYsCOfRfvhBZ84MxYv2L/21tGj7djU3q7dXra06cyZckM8hPf4XwWchuRFm4cJw6H3ihA4cGKKX7l/Gu/deff21XnlFH3ygceNUqahQ4JAe/4fgs5AMwzNm6OabVSopivTtt9IQ3t6eTODHjdNHH2nWrLCMf/BgOKQXV+YgIPgsJGGPH6+mpnDn6zffpPAecaxSSZWKokh//KEXXtDy5Vq1KmzhyhwQfDaSGEeN0rx5kpTPq7NTR49KQzv0RpEKhXBxX7Goc+fU16d33tEzz+j0aeVy3EsPgs9IsnA+e/alHnfuTK2+ONYdd6i1VUuXStKWLVqwQB0dyuV4SJY5gs9IEtrUqWpsDOto27alNtFOZhS3367167VmjerqtH+/Fi3S5s2SGOedEXxGkgYbGzVzZtjS1qaLF1Mbcftvnn3rLX36qSZO1MmTWrpUH34YLgCgeUsEn5HkiVcjRlwK/tQptbeHI+tUJCf9SyUtXqytW9XUJEmjRl36KvwQfHaSxGbP1m23SdLZs9q5U1LKZ8oLBZVKmjVLmzdr61YtW8YnWDkj+OwkU+nZs9XQIEmVin76KZM3Ti6/aWzUY49J/3hsBvwQfHaSWf348ZoyJWw5dEg9PaqpSf8cOXfUQBLBZywZWefMCde//fqr2tqktGf1/e/NwG6P4DOVnISfPz+snZ0/Hz45EsgGwWcqWZOfPl319WHL/v0Df44tMFgEXwX5vB58MPy7o0OHDnGpOzJC8FlLjqMffVSSCgX99pt+/rm6ewQjBF8d8+bpppvCNL6tLXw2PJA2gs9aMsKPGaPm5rA43/8AHA7jkTaCr5rkObaFgtrbdfy4RPBIH8FXQRL2Qw9JUi6nvr5wNj7H/wZSxq9Y1TQ0qKFBxaIk7djBKj2yQPBVM3q05s+XpCjSd9/p/Plq7xAMEHwVJGfda2s1d64kFQo6eVJdXRKH8UgZwVdHEva0abrllvD0q23bqr1PMEDw1ZGcnGts1IwZ4ZFTO3ZIjPBIGcFXRzKrr69Xc3PYcuCAjh+/7s+fAq6I4Ksj+WA4STNnhmvszp7V999LDPJIE8FXTXLWfeZMTZoUnj23a5eUzb3xcEXwVZPLqVzWPfforrsUx6pU1Nqqc+cufUIkMOQK1d4BX/0n52bNUk+PnnhCjz+ukSM5jEeKophfrmorFsMHvQNpI/hhhOdHI20cww8j1I60ETxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AdIKq+VuNo5gQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "action": "('move', [1.2341006458244381, 0.7005762445646995, 36.12555251115767])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fab10324a6238f90e0b0d7082490f54f87f50db58329f90de514e7d1b5d5462e"} +{"episode": 14462, "episode_seed": 2149613929, "split": "train", "timestamp": "2025-09-15T22:55:56.469614", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2149613929, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "action": "('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "action": "('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "action": "('move', [-1.0346426950913354, -2.909124070076173, 41.24943447561409])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3c0fc2d216d32d3cb21e272c74bd5cf561a4e26e45982f820f935efa9718aab0"} +{"episode": 14463, "episode_seed": 671738715, "split": "train", "timestamp": "2025-09-15T22:55:57.096971", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 671738715, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "action": "('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "action": "('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "action": "('move', [0.5732801370581866, -1.1234563652872829, 35.90498027477852])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2f88d2c44a464c792472ed85bcfa8088dbf0de98ad727022b0ee654402da771b"} +{"episode": 14464, "episode_seed": 633582249, "split": "train", "timestamp": "2025-09-15T22:55:57.722245", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 633582249, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "action": "('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "action": "('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "action": "('move', [-50.328696140476275, 109.74578159004467, 42.802349909205894])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "326e8d3cc89b35aae089c2656f2b80e752952951f00cbce79511b5dbb846d2d5"} +{"episode": 14465, "episode_seed": 4220920756, "split": "train", "timestamp": "2025-09-15T22:55:58.696046", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4220920756, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "action": "('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJcElEQVR4nO3cS4idd/3H8c85c0kaKZpqxTDqYEtSF1KpGykoFaRIiwsDFtFaFF2IIigKXXQjuFCoggjihUJbRAUvBKSghdK9F6i6K2ltSxqr0WpqTNomM+c8/8U5/8amk6ZJamemn9eLIZwkZybP5Jn3fH/PZc5oGIYAHcabvQHAK0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUGRxszeAl2wYMgyZTucPxuMs2n2cn9EwDJu9DWxktl9Go/lvJ5MsLGzi5vDqIPgt47kdMXswfsHR1smTOXQohw7l8cfz5z9n377cckuG4fQ3BTgXwb9Szuh5NDpHqP/5T44dy8pKptOMx/n61/OLX+To0Rw9mqeeSpJrrskDD5j8nBcHgf9jk8l8CD+X5RmdD0NOnsyxY3n44Rw8mIceysGDOXgwf/tbrrkm996b9fUsL+fJJ/PAA/N337Url12Wd75zg48GL0rwL4fZWbTn3hYWTi/I/3v8PvNMjh/P8eM5ejRvelP27MlolLW1fPSj+eUv88Kl1j/+kclkfmbuwx/Orl256qrs3Zt9+7J79/w5L1z5w9kJ/kINw3x6zwrfcF397LP54x/z97/nyJE89lgefTSPPZZDh/KXv+TLX843vzmf3k8/nWHInj153ety+eV5wxvylrdkdTXveEcmkywvZxhy7bW59tpX/JPk1UbwF2o0et5VsSNHcvhwDh/O44/nhhtyxRUZjfLEE7n55jzyyAbv+8wz8wdJbr01H/lI9u3Lnj1ZWcnOnRs8f3ZBbnbkbxnPhRL8+Zsdkx8+nPvuy8MP55FHcuRI/vWvPPlk/v3vHD+eu+/OlVcmyc6d88l/9dV561vztrfliiuyuprdu7O6mvz/gv/973/ex19bm/8T4/HzjvydnOOiCf5CPfhgPvWpM/9wcfH0fJ5Oc/nl+fWvk+TSS7NrVy65ZONoJ5P5qfjZ9F5a+l9uN9Vcljt/s/H76KN5z3tyySVZXc3b3569e7N3b666Km9+c5aXz3oubbYyT+YDHF5Zgr9Q02n++tesrJzjaWf89zr8ZlMJ/uLM7myfZfzfv8KW5Bj+Isx+ggW2D1+vF8EwZ7sRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPC+bYcgwbPZG8KIEz8tmNEqS6XSzt4OzEzwvg9lsf/bZjEYZjzW/dQmeizVbxo9GueOOXH99Dh3KeGxtv0WNBnuGizOdZjzOffdl//6cOJG9e3PHHbnuugzDfJHP1mHCc1FmtT/4YD7xiZw4kZ0789BD+e1vN3uzOAsTngs3m+FPPZUPfCC/+10WF7O+no9/PHffnfHYeN+KFjd7A9iuhiGTSYYhn//86drf/e58+9sZWzhuVfYMF2gYsriYb3wjP/5xduzIZJIrr8wPf5jLLnP0vnVZ0nMhJpMsLORnP8stt2Q6zXSaSy/NT36SG2/M+noWLRy3KhOe87a+noWF/OY3+dzncupUkkyn+cpXcuONWVtT+5ZmwnN+Zsv1J57IBz+YP/why8s5dSqf/Wy++10r+W1A8Jyf6TRra7npptxzT5aWsraW66/PPfdkeVnt24AlPedhGDIe57bbTtd+9dW5667s2LHZW8ZLI3heqvX1jEb5wQ/yrW9laSnr63njG/Od72RlJdOp8b49CJ6XZHY27t57c+utSTKZJMnXvpb3vjdray68bxt2FOc2nWZpKQcP5ktfyrFjWV7OdJrbbsunP53JJEtLm719vGRO2nEOsy+QEyfyoQ/l/vvnp+Vvuik//en8CRbz24gJzznMLrZ94Qu5//4sLOTUqbzrXfne9+Z/q/btRfC8mNlp+dtvz513Znk5k0lWVnLXXXn96xO1b0OW9JzV7CbZAwfysY9lbW0e/89/nv3757fWsu2Y8GxsMsniYv70p3zxizl5cn7D7O23Z//++a21bEcmPBuYvazFP/+ZG27I73+fHTty8mQ+85l8//unX9CK7UjwnGkY5vfP3nxzDhyY/6D7+96XAwfy2tcmcdV9G7Pr2MDCQr761dO1r67mzjuze3ei9m3OhOd5ZhfhfvSjfPKT81G/a1d+9atcd918nc+2Jng28PTTWV+fv9r0eJzXvEbtrxKChyK+aUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wMFhx+hZSvyBwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "action": "('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "action": "('move', [-79.0814488494548, 326.21753765992213, -14.144963626163985])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "479a06b436e09260c99d966785e41d901c5a4d53bbd9dc00f96a8bb9fcc6a8c4"} +{"episode": 14466, "episode_seed": 2415768131, "split": "train", "timestamp": "2025-09-15T22:55:59.331631", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2415768131, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "action": "('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "action": "('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "action": "('move', [-2.452554004465617, 0.7087145010573771, 29.0907792947001])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a5b7d9a9bbe9b3c85c43cf152957acee230fed2ee537cdb91e9ff167baeb0c73"} +{"episode": 14467, "episode_seed": 293850938, "split": "train", "timestamp": "2025-09-15T22:55:59.960589", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 293850938, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "action": "('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKSElEQVR4nO3dX4jldf3H8deZM7P/19ky0LAuCoMoIoINon9UUBaFF0VXLUGUQeiNZiUbtuQujSVpGAZCFFtIlFR4UXkRUVehSF1okYIG/UEkUhnHtp05c04X5zij8PtXP90zO6/H43KZi8+w8+T9Od/v5/s9g8lkEqDDwrwXAJw7gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigqfPeJzJZN6LmI/BpPU3h0KL814AnFtnzuT++7O8nJe/PAcOZDLJYDDvNZ07tvTUmG5mH3447353Lrss996bJJub813UOWbCU+bJJ7O6msXFLC0lqRrvMeGps7qawSCHD+fQoXkvZQ4ET5nV1Uwm2bMnBw8mJjzsVtPP8I8/niSLi7PgywieGtNhfvBgLr44L3tZ54R3H54yk0k2NzMYZDic91LmwISnzHicwSALpX/5JjwUcR+eGtNDdT/4QR5+OG96U975zozHbaO+67el2nicJLfemuPH873vJcloNN8VnXuCp8zqapLOS/QRPHXOnEmSCy6Y9zrmQ/DUGA4zGmV9PUkOH573auZD8HSY3o1aXZ19bp9OeFt62J2mwa+tZTTKwsJswgsedrMnn8w//pH0bundh6fJP/+Zw4ezd2+OHJn3UubDSTs6TE/dPPFE7rknZ87kbW/LS14y7zXNgeChiM/wVGqdcz7D02RtLevr2bcvBw7MeynzYcLTYWMjSW6+ORdemKNHk2eO1pcRPE2mB+mnqVfu6gVPh2neTz2VJBdeON+1zJHgaTKd8MvL817H3AieJk8/naT21E0ET4vpm22e/Wxs30H6CJ4Kk0mGw0wmGY+ztJQXvWjeC5obwVNgeq52bS1/+Us2NrJ377wXNDcO3lBguntfWsrVV+fBB/P2t2//Yxln6elT9p3wz2ZLT5/W2iN4imxu5uzZzhO1WwRPgWnkDzyQT30qV1yRv/513guaG8FTYBr8I4/k29/Ot741O35TefXKVXoKTNteX8+ePVlYmL3rpvKTvAlPjaeeyvp6JpMcOjTvpcyN4Kkx3ckvL7d9geSz9f7mFJlu6beenKnczE8JnhrTJ2eKD9JH8FSYjvTpw/CHD9vSw+41mcwKv+CCHDqUiy5q3tI7S19kPM7mZhYXm//gk83NDIfzXsTcCL7O5mYGg+ZdbTX/7RWmJ80efDDf+U6GwywslJ8o7yX43W/6MOj6ek6ezMc+lmPH8sgjswlve9dG8BUGg/z4x7njjgyHueOOvPnN+cY3tp8KN+17CH73m1b90EM5eDAbG1lczGOP5cor85735Le/TZKFhYxG810j54iLdkXuvjs33JBf/zpJlpaysZH9+/P5z+cTn8hFF2U0ysKCi3m7nOBbTO9Gra3l5ptz6635+9+ztJTRKJNJ3vrWfO5z+cAHtn+M3UrwRbZivvfefOlLueuu5JlRf+BAPvrRnDiRiy+eXcmrvle/ewm+y2QyO3vz9NP5/vdz/HgeeyzDYcbjTCa59NKcOJFjx2Y/GdnvOoJvtDXq//znXHddfvjDnD07G/WDQT74wdx4Yy69NElGoyx6ScouIvhSz35T85135otfzO9+l2R2JufIkZw6lWPHsrycjY3ZWR12AcG3G4+zsJC//S1f/nJuvz1ra9m7N2fPJsn73pfPfjbveEfiYt5uIXi2Y/7FL7Kykp//PEn27Mn6eo4cySc/mePHs7zc/PUNu4fgSZLxOONxFhfzxBM5fTrXX5+1te0j9697XU6dyuWXJy7mnecEz7atS3QPPZRrr81PfjL7ttWNjezZk498JCdP5pJLEjv885bgeY5nD/BvfjMrK7MnbQaDbG7mkkuyspIPfSgHDmQ0ynBo1J9nBM9/YTKZvSfmT3/KyZM5fTobG7NRn+TDH85nPpM3vjEx6s83gue/tRXzXXdlZSX33JPBIMNhRqO89KW56qpcc0327dP8+UTw/E+mJ/CGwzz6aG6/PTfeuH1EJ8lb3pIbbsi73pW4mHeeEDz/i63TuEnuuy/XXptf/SpJFhczGuXgwVxxRU6cyJEjiR3+jid4/k+m53OmbrklN92URx/NcJjNzSR51aty0015//uzuDh75N6o35kEz79h6+zNH/6QL3whd96ZZPtk3sc/nquvzmtfm8kk47FRvxMJnn/b1r79u9/NV76SBx6Y3Z8bjfKKV+Saa3LllRkMnrMpYIcQPP+JrXdd//GP+frXc8styTOf6pNcdllOncrRo0kcyN1ZBM9/aDLJaJSlpST55S/z6U/nN79Jnsn+xS/OVVfluuuyf/98l8lzCJ7/l619+5kzWVnJbbfl8ce3R/0b3pCvfS1Hj2b/fnN+RxA8z4Otfft99+X663P33Um2b9f/7Gd573vnuTy2uKjC82Ba++Zmjh7NT3+a227LK1+ZjY0sLOQ1r8nrX5/40oudwYTn+TQeZzDIYJDf/z5f/WpOn86PfpTLL3fpbqcQPM+zrYt5o1Huvz+vfnX27Uucut0ZBM8LwhnbnUnwvFA8TrMDeQUxLxSp70Cu0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORfwFX/ZE5R3HVnwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI0klEQVR4nO3dTW9UZR/H8f90WtoAfYBCWyMPsnXtwo0mLozvwJ1LFy7dmvgWXPgCNHFj4juRhS50owlPUrCAQC2lLWVmzr04IxTu3qCgHG9+n09OmqFh0msSvlzXOXOdaa9pmgIyTHQ9AODFETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETx5RqNqmq4H0Y1ek/rKIdBk1wOAF2t7u374oebn6+TJOniwmqZ6va7H9OJY0hOjXcyeO1fvvlvvvVdnz1ZVDYfdDuoFM8MTZn29NjZqcrKmpqoqanovMzxxNjaq16vZ2Tp8uOuhdEDwhNnYqKapAwfq0KEqMzy8rNpz+Fu3qqomJ8fBhxE8MdrJ/NChWlmpEycyZ3jvwxOmaWo4rF6v+v2uh9IBMzxhRqPq9Woi9F++GR6CeB+eGO2mum++qXPn6s036513ajRKm+qzXi3RRqOqqs8/r08+qa+/rqoaDLod0YsneMJsbFRV5iX6Ejxxtrerqubmuh5HNwRPjH6/BoPa3a2qmp3tejTdEDwZ2nejNjbG5+3tDG9JDy+nNvjNzRoMamJiPMMLHl5m6+u1tVWVu6T3PjxJdnZqdramp2thoeuhdMNOOzK0u25u365vv63t7XrrrTp2rOsxdUDwEMQ5PJFS5znn8CTZ3Kzd3ZqZqYMHux5KN8zwZLh/v6rqs89qcbHeeKPqj631YQRPknYjfZt65Kpe8GRo875zp6pqcbHbsXRI8CRpZ/j5+a7H0RnBk+Tu3aqK3XVTgidF+8k2e++NzdtIX4InQtNUv19NU6NRTU3VkSNdD6gzgidAu692c7NWV+v+/Zqe7npAnbHxhgDt6n1qqj7+uH76qd5+++E3w9hLT56w3wm/lyU9eVJrL8ETZDise/cyd9Q+IHgCtJH/+GN99FF9+GFdudL1gDojeAK0wZ8/X19+WV98Md5+E3n1ylV6ArRt7+7WgQM1MTH+rJvIM3kzPDHu3Knd3WqaOny466F0RvDEaFfy8/Npv0Byr9xXTpB2Sf/gzpnIxXzLOTz/Xnsvq7WPe73nqLW9cyZ4I30Jnq48iPkJJe/9zoPHz7JNrn1CezP87Gzykl7w/LPanpvm4YNeryYmHkb7WL1NU4NBDQa1s1NXr9aFC3XpUl24UJcv13ff1Qcf1Kef/vURtIXPzdXhw7W8nLykt5eev01b9d62m6YmJ/efUAeD2t6ura3a2qq7d+vatbp4sS5dGh8XL9bqag2Hjz/r/ffrq69qevo5tsMPh9XvP9MzXwZmeJ7R3rzbo9/fP6Wtrbp9u27frvX1unWrfvutVldrdbWuXBl/vXnz8af0etXv19RUjUaPZP/997W5+Xy3twbXXoLnz3gwYz/42q7J/3uOXV+vtbVaW6tr1+rXX+v69bpxo9bW6vr18eP2SvljpqZqYqJGo/FnSdcfC/vW3FwtL9crr9TSUr3++rj24FX5c7Gk5xldvVqXL9fqav3yy/jBzZv1++8Pj93dfZ7V71evV02zz3K9qpaW6uTJR47FxTpypObna36+5uZqZuafflkvOcHzFE1TP/9c588/PMe+cKFu3Kjt7bp3r3Z2amfnL9yB1l6xm5qqEyfqzJk6fbpee218LC/XwYM1MzM+9j3zD76T/e8heJ6kDez06bp8efzHP6PfH0c7PV0zM7WyMk76zJk6darOnKlXX63p6Ueu1e/7ox/8P9L+tb1feTbO4XmSNvilpbpyZf9F+PR0zc/XwkItLNTcXC0ujpfip07VyZN14kQtL//ZH/SY9rodfy/B83RHj9ZwWHNzdfx4LS3V8nItLdXx47WyUsvLtbIyPmZn93nuaPTIOvx/zdLm7RfDkp6nO3u21tbq2LE6cqQWFuro0f3fGBsMajQaX73fe/DvIXiexXBYw+HjVcv730/wPN1w+HBZvjdv/u8IHoLk3jYEgQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4D1xnpBGXdlB0AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "action": "('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI0klEQVR4nO3dTW9UZR/H8f90WtoAfYBCWyMPsnXtwo0mLozvwJ1LFy7dmvgWXPgCNHFj4juRhS50owlPUrCAQC2lLWVmzr04IxTu3qCgHG9+n09OmqFh0msSvlzXOXOdaa9pmgIyTHQ9AODFETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETx5RqNqmq4H0Y1ek/rKIdBk1wOAF2t7u374oebn6+TJOniwmqZ6va7H9OJY0hOjXcyeO1fvvlvvvVdnz1ZVDYfdDuoFM8MTZn29NjZqcrKmpqoqanovMzxxNjaq16vZ2Tp8uOuhdEDwhNnYqKapAwfq0KEqMzy8rNpz+Fu3qqomJ8fBhxE8MdrJ/NChWlmpEycyZ3jvwxOmaWo4rF6v+v2uh9IBMzxhRqPq9Woi9F++GR6CeB+eGO2mum++qXPn6s036513ajRKm+qzXi3RRqOqqs8/r08+qa+/rqoaDLod0YsneMJsbFRV5iX6Ejxxtrerqubmuh5HNwRPjH6/BoPa3a2qmp3tejTdEDwZ2nejNjbG5+3tDG9JDy+nNvjNzRoMamJiPMMLHl5m6+u1tVWVu6T3PjxJdnZqdramp2thoeuhdMNOOzK0u25u365vv63t7XrrrTp2rOsxdUDwEMQ5PJFS5znn8CTZ3Kzd3ZqZqYMHux5KN8zwZLh/v6rqs89qcbHeeKPqj631YQRPknYjfZt65Kpe8GRo875zp6pqcbHbsXRI8CRpZ/j5+a7H0RnBk+Tu3aqK3XVTgidF+8k2e++NzdtIX4InQtNUv19NU6NRTU3VkSNdD6gzgidAu692c7NWV+v+/Zqe7npAnbHxhgDt6n1qqj7+uH76qd5+++E3w9hLT56w3wm/lyU9eVJrL8ETZDise/cyd9Q+IHgCtJH/+GN99FF9+GFdudL1gDojeAK0wZ8/X19+WV98Md5+E3n1ylV6ArRt7+7WgQM1MTH+rJvIM3kzPDHu3Knd3WqaOny466F0RvDEaFfy8/Npv0Byr9xXTpB2Sf/gzpnIxXzLOTz/Xnsvq7WPe73nqLW9cyZ4I30Jnq48iPkJJe/9zoPHz7JNrn1CezP87Gzykl7w/LPanpvm4YNeryYmHkb7WL1NU4NBDQa1s1NXr9aFC3XpUl24UJcv13ff1Qcf1Kef/vURtIXPzdXhw7W8nLykt5eev01b9d62m6YmJ/efUAeD2t6ura3a2qq7d+vatbp4sS5dGh8XL9bqag2Hjz/r/ffrq69qevo5tsMPh9XvP9MzXwZmeJ7R3rzbo9/fP6Wtrbp9u27frvX1unWrfvutVldrdbWuXBl/vXnz8af0etXv19RUjUaPZP/997W5+Xy3twbXXoLnz3gwYz/42q7J/3uOXV+vtbVaW6tr1+rXX+v69bpxo9bW6vr18eP2SvljpqZqYqJGo/FnSdcfC/vW3FwtL9crr9TSUr3++rj24FX5c7Gk5xldvVqXL9fqav3yy/jBzZv1++8Pj93dfZ7V71evV02zz3K9qpaW6uTJR47FxTpypObna36+5uZqZuafflkvOcHzFE1TP/9c588/PMe+cKFu3Kjt7bp3r3Z2amfnL9yB1l6xm5qqEyfqzJk6fbpee218LC/XwYM1MzM+9j3zD76T/e8heJ6kDez06bp8efzHP6PfH0c7PV0zM7WyMk76zJk6darOnKlXX63p6Ueu1e/7ox/8P9L+tb1feTbO4XmSNvilpbpyZf9F+PR0zc/XwkItLNTcXC0ujpfip07VyZN14kQtL//ZH/SY9rodfy/B83RHj9ZwWHNzdfx4LS3V8nItLdXx47WyUsvLtbIyPmZn93nuaPTIOvx/zdLm7RfDkp6nO3u21tbq2LE6cqQWFuro0f3fGBsMajQaX73fe/DvIXiexXBYw+HjVcv730/wPN1w+HBZvjdv/u8IHoLk3jYEgQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4D1xnpBGXdlB0AAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI0klEQVR4nO3dTW9UZR/H8f90WtoAfYBCWyMPsnXtwo0mLozvwJ1LFy7dmvgWXPgCNHFj4juRhS50owlPUrCAQC2lLWVmzr04IxTu3qCgHG9+n09OmqFh0msSvlzXOXOdaa9pmgIyTHQ9AODFETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETx5RqNqmq4H0Y1ek/rKIdBk1wOAF2t7u374oebn6+TJOniwmqZ6va7H9OJY0hOjXcyeO1fvvlvvvVdnz1ZVDYfdDuoFM8MTZn29NjZqcrKmpqoqanovMzxxNjaq16vZ2Tp8uOuhdEDwhNnYqKapAwfq0KEqMzy8rNpz+Fu3qqomJ8fBhxE8MdrJ/NChWlmpEycyZ3jvwxOmaWo4rF6v+v2uh9IBMzxhRqPq9Woi9F++GR6CeB+eGO2mum++qXPn6s036513ajRKm+qzXi3RRqOqqs8/r08+qa+/rqoaDLod0YsneMJsbFRV5iX6Ejxxtrerqubmuh5HNwRPjH6/BoPa3a2qmp3tejTdEDwZ2nejNjbG5+3tDG9JDy+nNvjNzRoMamJiPMMLHl5m6+u1tVWVu6T3PjxJdnZqdramp2thoeuhdMNOOzK0u25u365vv63t7XrrrTp2rOsxdUDwEMQ5PJFS5znn8CTZ3Kzd3ZqZqYMHux5KN8zwZLh/v6rqs89qcbHeeKPqj631YQRPknYjfZt65Kpe8GRo875zp6pqcbHbsXRI8CRpZ/j5+a7H0RnBk+Tu3aqK3XVTgidF+8k2e++NzdtIX4InQtNUv19NU6NRTU3VkSNdD6gzgidAu692c7NWV+v+/Zqe7npAnbHxhgDt6n1qqj7+uH76qd5+++E3w9hLT56w3wm/lyU9eVJrL8ETZDise/cyd9Q+IHgCtJH/+GN99FF9+GFdudL1gDojeAK0wZ8/X19+WV98Md5+E3n1ylV6ArRt7+7WgQM1MTH+rJvIM3kzPDHu3Knd3WqaOny466F0RvDEaFfy8/Npv0Byr9xXTpB2Sf/gzpnIxXzLOTz/Xnsvq7WPe73nqLW9cyZ4I30Jnq48iPkJJe/9zoPHz7JNrn1CezP87Gzykl7w/LPanpvm4YNeryYmHkb7WL1NU4NBDQa1s1NXr9aFC3XpUl24UJcv13ff1Qcf1Kef/vURtIXPzdXhw7W8nLykt5eev01b9d62m6YmJ/efUAeD2t6ura3a2qq7d+vatbp4sS5dGh8XL9bqag2Hjz/r/ffrq69qevo5tsMPh9XvP9MzXwZmeJ7R3rzbo9/fP6Wtrbp9u27frvX1unWrfvutVldrdbWuXBl/vXnz8af0etXv19RUjUaPZP/997W5+Xy3twbXXoLnz3gwYz/42q7J/3uOXV+vtbVaW6tr1+rXX+v69bpxo9bW6vr18eP2SvljpqZqYqJGo/FnSdcfC/vW3FwtL9crr9TSUr3++rj24FX5c7Gk5xldvVqXL9fqav3yy/jBzZv1++8Pj93dfZ7V71evV02zz3K9qpaW6uTJR47FxTpypObna36+5uZqZuafflkvOcHzFE1TP/9c588/PMe+cKFu3Kjt7bp3r3Z2amfnL9yB1l6xm5qqEyfqzJk6fbpee218LC/XwYM1MzM+9j3zD76T/e8heJ6kDez06bp8efzHP6PfH0c7PV0zM7WyMk76zJk6darOnKlXX63p6Ueu1e/7ox/8P9L+tb1feTbO4XmSNvilpbpyZf9F+PR0zc/XwkItLNTcXC0ujpfip07VyZN14kQtL//ZH/SY9rodfy/B83RHj9ZwWHNzdfx4LS3V8nItLdXx47WyUsvLtbIyPmZn93nuaPTIOvx/zdLm7RfDkp6nO3u21tbq2LE6cqQWFuro0f3fGBsMajQaX73fe/DvIXiexXBYw+HjVcv730/wPN1w+HBZvjdv/u8IHoLk3jYEgQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4D1xnpBGXdlB0AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "action": "('move', [32.5329738167163, 18.322242962958214, 39.72495130338814])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d028629070782a308f68f0caee5f2d49a0770859cf925d86dfb8667f0f8d7e29"} +{"episode": 14468, "episode_seed": 1088170615, "split": "train", "timestamp": "2025-09-15T22:56:00.589052", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1088170615, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "action": "('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "action": "('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "action": "('move', [-0.11666125320303013, 0.2742969274064691, 57.9594288732967])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f93df62c1719069c834c7bec31c1b0c8a204b1877ad76e9a40fbb73f04d5fe38"} +{"episode": 14469, "episode_seed": 3774657881, "split": "train", "timestamp": "2025-09-15T22:56:01.565685", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3774657881, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "action": "('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnUlEQVR4nO3d34ucVx3H8c/MZLc/TKMx9RdRwU2MurYK0RB/QanWUKldKdjbYlErvfdG/4Je6m1VEBWCEqjQ3KiVKCaovTAlhUTbYIJ0o1UTd4tpcHdmHi9mstuWiujOdp7d7+t1lTzMhkN233vOc+Y8u52maQLU0J32AIDXjuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIfivo9zMYTHsQbAeCb7GmSZIXX8ydd+b22/PjHyfJcDjVMbG17Zj2APjPmiadTi5cyIULWVzM1avTHhBbnhm+xUYz/IULuXIlO3bkAx9Ikk5nuoNiSxN8i41W7xcv5tq1vO51efe7E8GzIYJvsdEM/4c/JMm+fbnxxukOh21A8G3VNNmxI0lWVrJrVw4enPaA2A46zWgaoYVGm3ZXr+bcudx8c+bnpz0gtjzBt9vos+O+nQmxpG+3Tmdcu+/LTILg22q0RX/2bI4ezZ/+NO3RsE0Ivt2OHcsDD+Thh8enbszzbIzgW6lp0u1mZSXnz6ffz9veNn5Pzs08GyP4FltaysWL6XQyPz9+iw42RvCtNFq6Ly/n/Pk0TfbvTzw2wwQIvsWWlvKXv2R2Nm99a+IGngkQfCuN7tUvXkzT5J3vzO7d6xdhAwTfSqO2z57NzEz278+ePdMeENuE4Nuq38/iYlZXc+utef3rx8dsYWPs/bZVt5uvfCXz8zl4ML2e4JkIZ+mhEEv6dmsaP76SCbKkb6srV7K8nN27s2vXtIfC9mGGb5/RTdYjj2RuLl/9avr99YuwMYJvqz/+MZ1OlpczOztuHjZM8O0z2o0/cyZNk337kmQ4tEXPRAi+ZUZL98uX8/zzScbBd32amAxfSS0zCv7cuVy7lltuydxc4lAtEyP4lhkF//vfZ3U1e/b4WfRMluBb6fz59Hp5wxuyd2+GQ0t6JsVXUsuMHno/dSqDQd7ylvR6Dt4wQQ7etEyvlyRf+1pOncr73rd+BSbBWfr2WXtOxgMzTJolffuonU0j+DYZrbaWlvL3v6udzSD4NhkdoX300dx3X77+9cQReibMpl1rrK3hn3wyJ0/mhhumPSC2ITN8a4x+P/Tycq5cSa+XO+6Y9oDYhgTfGqPV++JiFhczHObAgWkPiG1I8K2xFvylS2kavw2ezSD41hgFf+lS/vnP7NyZvXunPSC2IcG3xmjH7rnn0u1mfn68aefNOSZK8O0w2rHr9/PssxkOs2+fXXo2g+DbpN/PwYOZn89HP+rXxbIZnKWHQszwLTMcZjBwwI5NYoaHQszwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8bTEYZDic9iC2ux3THgCMO+/1pj2OAszwTEfTpGnGf+520+3m6NE8+WQS8/wmEjyvqabJYJCmSaeTTidJLl3KI4/kQx/Kgw/mm9/Mv/6Vbnf9ewGT1Wn81/KaGA4zGGRmZvzXv/0tp0/nO9/J44/n2rUk6XazY0dOnsyhQxkO0zUZbQL38Gy60W7czEy63ays5PTpnDiR730v584l1zvv9zMc5pZbsriYQ4fGkz8TJ3g20dpuXK+Xixfzs5/liSdy/HhefDFJZmezuprhMMNhDh3Kpz6VI0fysY9Nd8jbnCU9Ezb6gnrpFP3zn+dHP8qvf52nnx5fmZnJ6mqS3HRT7r8/Cws5fDhvf/trPtZ6BM9kjHbd17bikvz1r/nBD/LDH+aZZ7K0lCTd7voO/Pvfn4ceypEjmZvL7GyS9PtJ0utZz28iwbNRozX5jut3h0tLeeqpfOtbOX48L7zwsld2Orn11nz603nooRw+nBtvHF/v98fvzLHZBM//b203LsnKSs6ezYkT+e53c+bM+AW9XgaDJHnjG3P77bnnnnzhC3nTm9b/heHwZYsCNpvg+X+MMh6djXvuuZw4kZ/+NI89lqtXk2RmZvwmXJIPfjB33JF7781dd40/VuRTJHj+B6/YkPvlL/PYY/nVr/K7342vrO3Gzc7m/vtz9935+Mfzrncl11f+btGnS/D8F6PduJfeYP/jH/n+93PsWM6ezeXLyct349773jz4YD7zmRw4kBtuSJLV1XQ6Um8FwfMfvWI37urVnDmTRx/N8eO5fPmVp193784nP5mHH87hw9m5c3zRblzbCJ5X8dLduMEgzzyTEyfy7W/n9OnxC9Z243btynvek/vuywMPZO/e9X/BjXo7CZ51TZPhME0zntX//OecPJmf/CTHjmV5OUlmZtLvj+f2227LJz6Rz34299yz/uEjOm8twfMqTp3K44/nF7/Ib387vjI7m5WVJJmZycJC7r47d96ZffuS6zv23a7OtwDBk2R8SO6FF3L0aI4dy9NP5/nnk6TXG8/5Sebm8sUv5q67ctttufnmxNm4LUjwjJ9F/c1v8rnPZWlpPJOvuemmHDmSL385H/lI9uwZX1xdTa9nN27r8bQcY29+c3buHL/NlmTnzuzfn4WFfOlLecc71l822o1be6ydrUXwpNPJcJi5uSws5BvfyPx8PvzhfP7zuffe9desHbkxq29plvQkyWCQXi9PPZUnnsjCQg4cSK5v2tuN204Ez6tYXR0fmJH6NiN41o2eeOl2/cTobUvwUIgdGChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkH8DJkSH84N5+LoAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALEklEQVR4nO3dUYgV9QLH8d+cOXs2LTVXqUTsQTfJlQKNiKIIqYfMXixMksXFDFNBS6goDXqqpBeDQiE1sIgUrLQeiuqpVKJ6sWB1y1SstUKz3UrFc+bM9DBzd++93Mra4z1z5vf9PC778Iez3/3/5z//mRMkSSIAHkrNHgCA/x+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfhWEEWq15s9CBQBwedYkkjSmTOaM0fXXKNduyQpjps6JrS2crMHgD+WJAoCHTmiI0fU36/Tp5s9ILQ8ZvgcS2f4I0d06pTKZV17rSQFQXMHhZZG8DmWrt6PHtXZs7r4Yl11lUTwGBGCz7F0hu/rk6Rp03TRRc0dDgqA4PMqSVQuS1K1qrFjNXt2sweEIgiSdBpBDqWbdqdP68ABjR6trq5mDwgtj+DzLf10uG5Hg7Ckz7cgyGrn/zIageDzKt2i7+3V66/r2LFmjwYFQfD5tnOnFi/WihXZqRvmeYwMwedSkqhUUrWqQ4cURZo0Kbsnx8U8Robgc2xgQEePKgjU1ZXdogNGhuBzKV26Dw7q0CEliTo7JR6bQQMQfI4NDOiHH1Sp6IorJC7g0QAEn0vptfrRo0oSXXmlxo8f/iEwAgSfS2nbvb1qa1NnpyZMaPaAUBAEn1dRpP5+1WqaOFHjxmXHbIGRYe83r0olPfiguro0e7bCkODREJylB4ywpM+3JOH1lWgglvR5deqUBgc1frzGjm32UFAczPD5k15krV+vqVP1yCOKouEfAiND8Hl1+LCCQIODqlSy5oERI/j8SXfjv/hCSaJp0yQpjtmiR0MQfM6kS/efftKPP0rKgi/xMaEx+EvKmTT4Awd09qzGjNHUqRKHatEwBJ8zafAHD6pW04QJvIsejUXwuXTokMJQl16qyZMVxyzp0Sj8JeVM+tD73r2q13X55QpDDt6ggTh4kzNhKElPPKG9ezVjxvBPgEbgLH3+DD0nwwMzaDSW9PlD7bhgCD5P0tXWwIBOnqR2XAgEnyfpEdqXXtL8+Vq7VuIIPRqMTbvcGFrDf/qp9uxRe3uzB4QCYobPjfT7oQcHdeqUwlC33trsAaGACD430tV7f7/6+xXHmj692QNCARF8bgwFf/y4koRvg8eFQPC5kQZ//Lh++02XXKLJk5s9IBQQwedGumP33XcqldTVlW3acXMODUXw+ZDu2EWRvv5acaxp09ilx4VA8HkSRZo9W11duvFGvi4WFwJn6QEjzPA5E8eq1zlghwuEGR4wwgwPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8BipKFK93uxB4PwESZI0ewxoYXGsUkmSkkRB0OzR4K8ww+MfSmeKUknPPKN9+xQEYu7IP4LHPxHHCgLValq1SuvWackSffONgkBx3OyR4U+xpMffFkUql3XihFau1M6dqlRUrermm/Xhh2pvZ22fa+VmDwAtplZTW5sOHtSyZfr4Y7W1qVrVqFG6886sduQZMzz+hnpdYag9e/TAA+rrU7msKNKECXr+eXV3N3twOA9cw+O8JIniWGGonTt1993q61Nbm6JInZ3asUPd3YqiZg8R54Hg8dfSLbpSSS++qJ4enTihSkW1mm64Qbt26bbbsqt65B/B4y/U6yqVVK9r3TqtXq2zZ1Uuq1rVvHl6+23NnKl6ndpbBtfw+DPpRfvPP2vNGm3blp2xiWPdf782bVKlMnzwBi2Bzwp/KIoUhjp8WAsXats2hWG2tn/ySW3dqkpFErW3GJZi+N/Shfpnn2npUn35ZXazfcwYPfecli/P1vncb285LOnx39K/iCDQe+9p6VIdP672dp07p0mTtHmz5s3LZn5qb0UEj/8wdE3+yitasUJnzmRz+4wZeu01zZrF3N7auALDsDTmWk3PPqueHp05kx2ku+UWffCBZs3KbsVTe+sieGTShfrgoB5+WGvXqlRSGKpW04IFeucdTZ6sJGGLruXxAUL61xZdf78WL9bGjdl99Xpda9bo1Vc1dmy2P49Wxy49lCQKQ/X1qbtbn3+eXbSHoTZs0EMPKUmY24uD4K0Nbcjv26f77tOxY1nt48Zp61bdc0/2fDu1FwbB+0pX6UGgt97SkiUaHMxqnzJF27frppuyJ9tZyRcJ/7pNDb2a5oUXdO+9w7Vfd53ef5/aC4vgHaVzexTpsce0erXiOHse5q67tHu3rr6aLbrC4uCNnXTq/uUXLVumHTtULiuOFcdavlzr12vcuOyBGRQS1/Be0oN0/f1atEgffaS2NtVqkvT003r0UbW1UXvBEbyLoVfW7N+vRYvU25tdtI8apU2b1NMjKfsFFBjX8BaSJJu6331Xc+eqt1ft7apWNWmS3ngjq52b7Q74hIsvndvLZW3erIUL9f33qlR07pxmztTu3Zo7N9uxZ5fOAcEXXxAoDPXUU1q5Ur/+qjBUtao5c7Rrl66/XlHExG6EXfoiS7fookgrVmjLluEXVC1erA0b1NHByyft8L+9sNJr8pMnNX++tmxRuZydin/8cb38sjo6snU+rPCBF1N6s/2rr9TTo08+yW6/jR6t9eu1apUkXj5piuALKI25t1d33KFvv81uv02cqI0btWDB8Le+whAfe2FVKho/XpKqVXV26s03tWCB6nVOyFtj066Y0kn+4EHdfrsuu0zbt2v69Ox7IOGM4AsrbX7/fnV0aMoUNuQhEXyxDX1VO1t0SBF8wQ290wYQu/SFR+r4d6zzACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOR3x5fJq6WSoAYAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "action": "('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALF0lEQVR4nO3dT4hV5QPG8eecex1tTNOsNKxAZzQcGZFRkcgYEtxUGBVua2ElYbSoFmUItSiDFtUgLUII2khQUIskMxKsW1C4UEGtphzFGfpjl5n8MzX33nNavOenBPqrnGv33PN8Pzuvmxfu/c77nnPec06UpqkAeIhbPQAA/x2CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfh2UK+r0Wj1IFAEBJ9jaSpJ587pzjvV26v335ekJGnpmNDeyq0eAC4tTRVFOnZMx45peFhnz7Z6QGh7zPA5Fmb4Y8dUrapc1rJlkhRFrR0U2hrB51hYvQ8NaXxc06dr0SKJ4DEpBJ9jYYb/5htJ6urStGmtHQ4KgODzKk1VLkvSxIRmzlRfX6sHhCKI0jCNIIfCSbuzZ3XkiDo71dPT6gGh7RF8voVvh+N2NAlL+nyLoqx2/i6jGQg+r8Ip+sOHtXOnTpxo9WhQEASfb+++qwcf1GOPZbtumOcxOQSfS2mqONbEhAYHVa/rxhuza3IczGNyCD7HRkc1NKQoUk9PdokOmByCz6WwdB8b0+Cg0lTd3RK3zaAJCD7HRkf144/q6NC8eRIH8GgCgs+lcKw+NKQ01S23aPbsCx8Ck0DwuRTaPnxYU6aou1tz5rR6QCgIgs+rel3Dw6rVdN11uuaabJstMDmc+82rONamTerpUV+fSiWCR1Owlx4wwpI+39KUx1eiiVjS51W1qrExzZ6tmTNbPRQUBzN8/oSDrJdf1sKFevpp1esXPgQmh+Dz6ocfFEUaG1NHR9Y8MGkEnz/hbPzBg0pTdXVJUpJwih5NQfA5E5buv/6qn36SlAUf8zWhOfgl5UwI/sgRjY9rxgwtXCixqRZNQ/A5E4I/elS1mubM4Vn0aC6Cz6XBQZVKmjVL8+crSVjSo1n4JeVMuOm9UlGjoblzVSqx8QZNxMabnCmVJOnZZ1WpaMmSC58AzcBe+vw5f58MN8yg2VjS5w+144oh+DwJq63RUZ06Re24Egg+T8IW2jff1H33acsWiS30aDJO2uXG+TX8V1/p8881dWqrB4QCYobPjfB+6LExVasqldTf3+oBoYAIPjfC6n14WMPDShItXtzqAaGACD43zgc/MqI05W3wuBIIPjdC8CMjOnNGV1+t+fNbPSAUEMHnRjhjd/Kk4lg9PdlJOy7OoakIPh/CGbt6Xd99pyRRVxdn6XElEHye1Ovq61NPj267jdfF4kpgLz1ghBk+Z5JEjQYb7HCFMMMDRpjhASMEDxgheMAIwQNGCN5UmnIpwBG7O0yxZ9cTM7yXcJm/v19btmhsrNWjwX+O4I3U64pjDQxo3z5t26bly/XZZ9nnMEHwLhoNxbFGRvTGG5IUxxofV2cnT8f1QvAuokhxrO3bNTioOFaa6pFHtGKFkoRXXRhha62FRkOlkg4d0tq1qlaVplqwQPv3a8YMxTEzvBFm+OJLU8WxGg0NDOjUqWx637JFs2ZRux1m+OILr5+tVLRmTfaUjdWr9cUXiiJqt8N1+OKLIjUa2ro1+2e5rJde4g3UpvjaCy6chH/vPe3dq1JJ9bo2bNAdd7DTzhRL+iIL3+25c1q5Ut9+K0nXXqtdu7RqVbbOhxu+8yJrNBRFeu01HT2qUklJooce0ooV2TV5GOJrL6xGQ+WyBge1Y4eiSLWaurv16KOcqLNG8IWVpqrXNTCgoSHFsUolbdyoxYtVr7PTxhfH8MUUdtp8+aXuvVfVqhoN9fZq3z7NnMnVOGvM8AUUdtqMj2v7dv3yS/Zh2Gkjboz1xgxfQOFS3J49uvtuRZEmJrR2rfbsYW4HwRdRmur337VunSoVTZmiJFGlotWruTEOLOkLJ1S9c6cqFZXLqtW0caNWrmSbDSRm+IIJ++dGR9XXpxMnVCppzhx9+ql6ethpA4kZvmBC1a+8ouPHFceq17Vpk269lZ02yPArKI7wKItDh/T224oiJYmWLtXDD3PVHRcQfHGEl1C++qpGRlQqKU21aZNuvlm1Gs0jwzF8QYSdNp98og0b9NtvSlOtWqV9+9TRIXHtHf/DDF8ESaIo0rlzGhjQ6Gh2uL51q6ZOzf4LCAi+CMIDKnfv1q5d2TNt7rpL99yjNGUxj79gSd/2woX3M2e0Zo0OHFAcK461f796eyUW8/grZvi2F5J+6y0dOJDtq9u8WcuWsZEWF8EM3/aSRNWqli7VqVNKU82bp0pFCxaw0wYXwS+ivYWqX3hBP/+sKFKa6skntWAB2+ZxcczwbSzsnzt4UP39On1aSaLly/XRR7r+eklM77gIfhTtKszhUaRt2zQ2pjTV1Kl6/HHNnctiHpfEDN+u6nWVy/rwQz3wgGo1JYn6+/Xxx9lZeoLHRfG7aEvhAvvp03r9df3xhyRNm6bnnlNHR3ZNHrgofhptKSzLPvhAe/aoXFaSaP16rVvHq2DxN1jSt59w9F6t6vbbs9dLdHZq/34tWiSx0wb/FzN8+wlJ79hx4fUSTzyhxYsv/BdwKczwbSZM7ydPqrc3uyuuq0t792r+fIng8XeY4dtMkkjS889rdDQ7XH/qKd10Eztt8I8QfDs5/3qJd95RHKtW05o1uv9+HlCJf4rg20ao+vRpvfiizp5VHGv6dG3erBtu4JF1+Kf4mbSNcMnt+HF9/XX23rj+fq1fz7vi8C8QfNuIY6Wpuru1e7c2bFBnp555RlddxW2w+Bc4S9+WJib0/fdasoRzdfh3CL79cG8MLhs/nPYTaucPNS4DwbcrVvK4DAQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5E+y5suZ2coZ3gAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "action": "('move', [-48.53530489577073, 127.86643679086733, 19.79030533841806])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d6f21c5b7ce39063e091c8201e148c1637043a26977c3614c47cd574c037b84e"} +{"episode": 14470, "episode_seed": 101606915, "split": "train", "timestamp": "2025-09-15T22:56:02.189926", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 101606915, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "action": "('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJQElEQVR4nO3dTYic9QHH8d/s7EYlYnoRUkGltVRjaYKo+BLrSxODeGpLqb3osaUePHjy5MVeelSroOhRPOhFpMX6Rm1Xo6JNa0qEgC0oxiJpMQZRs9mZHmaaTVJbX+LuJv4+H5aw++SZnYdlv/P/P/9nZmcwHo8DdJhZ7QMAVo7goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgYTWNxxmNsrCQ0Wgl7m4wHo9X4n6Aw0w6H40yM5PhcOXu1wgPK2fS+eJikgyHmZvLcJi//z333ZedO5Ms+zg/u7zfHupN5tCDwfTfySejUf74x/zhD3n55bz1Vv785/z61/nud7O4mJnlHIUFD1+y8Xj6MTOzVPjEnj15+un87nd59dXs3Zt//nO6fTDIySevxLEJHr4ch07Lh8OlUXphIfv2ZffuPPlknngiO3fmo48+Yd4+GGRubiUOUvBwTA6dlk9OyCcrcO++mzffzM6defbZPPNM3nlnuvNR0/WvfS1nnZXzzsv3vpdt25JkdpmLtEoPX8Sh8fzwkXnnzvz1r9mxIy++mO3bc/DgdPuaNTl4cGlg/9a3snFjNm7MpZfm0kuzbt3KHbbg4Zjs35/5+Tz/fF57Lbt25Y03ptsns/QDB6Zfzsxk8+Zs3pwLL8yGDfnOd5a+w8JCBoMMh0ec7S8TwcPnNhrljTfy1FN55pm8/nreeSfvvbf0v4NBDlW1fn2uvTbXXptNm/L1r+f006fbx+MsLEwvwq9A50vHJnj47CZPldmzJz/5SbZv/4Tlt9nZrF2b887LddfluuuyYUPWrl06Mx+Ps7iYwWC6gL/yLNrB5zAZvdevz7nn5vnnl7affnrWr8+mTdm2LVu25IwzjrjV5CrdpPDlXpb7/wQPn8NgkIWFzM3lggsyHOb883PuubngglxxRS6//IiR/PCbHHU1fhWZ0sPnM5nVv/lmduzIhg359ren21d9uv5ZCB6OyeLi9CHgeO78EMHDFzG5CH+cj+f/TfBQxMtjoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoUhf8JO/KgyV+oIfDjMzk4WF+HO99CkL/qOP8sIL2b8/c3MZDDIayZ4qNcFPpvF/+1t++MNs2ZI77sjbb59g7yEAx6zsjSjuvz8///n08zPOyLZt+cUvctFFmal54KNbWfAHDuSFF3L33Zmfz7vvJslwmMsvz8035wc/yMknJ/9Z1ZudNfjz1VMW/CG7d+fBB/PUU9mxI0nWrMmuXTnnnOnbAk4sLExX+OCroi/48TijUYbDJNm7N48/nkceyebNue226TsDzs9n167cdNPSgO9Un6+KvuAnRqMsLmZuLkn2789olNNOS5L33suPfpTf/z5XXZWtW3PTTTnrrNU9UvgStQY/cXj2k8n8nj254YbMz093OPPMXH11brklF110xA3HY2M+J6Lu4CcmP4FJwKNRDhzIiy/mrrvy3HP517+S5KSTctlluf32XHPN0k0mU31n+JxQBP+/7d6dBx7Ik0/mL39Jkocfzk9/msTCHicuwX+S8Tjj8TTjffvy8MN5+eXceWdOPTWDQV5/PQ88kIsvzvXXT8/8Dx402nNCEPz/Npm3z85Ov5w8D3c4zG235Ve/yuxsrrgiW7fmxhst7HGiEPynGY+nA/hwOF2re+yx/PKXeeWV6Q7f/GauvDI/+1kuu+yIWyUW9jjeCP6zOWpZ/oMP8tJLuffePP109u1LklNOyVVX5fHHl2YEMdXnuON38bM5aqxeuzbf/34efTSvvppbb8355+fDD7NmTWZns7iYJHv35uOPMzs7fSmuV+BzfDDCf1GHT9r37ctDD+WSS3LhhVlczHCYG29Mkh//OFdfnXXrpvub4bPaBH9sjlrYm9Q+P58rr5w+ImzZkq1bc8MN+cY3VvEwYULwX4bJwt5wOB3D//GP/Pa3efDBbN8+3eHss/Pcczn7bOM8q0vwy+b99/OnP+Wee/Kb32TTpjzxRNatEzyrS/DL4Khrcq+9liQbN67a8cB/CH7ZuBTP8Wf203fhizmUuvI5bgh++Umd44Yn3kARwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORfwN3fSJr4eLhpwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "action": "('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIlUlEQVR4nO3dPYxU5R7H8f/sDC+6i1ibKFETCwstxBjUAAqxsFJjgg2UGi0srKhssLFUo4WBwsJQqIUhGqMWkmzwJYrRAhMKG6MxSoxIYNldZuYW57hvyIW7V3Z2+X0+mUyemT2TPZvw5Tnn2dkzneFwWECGsVHvALByBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BeqPeAVg5w+Gih53OiPZjdATPGrMw2isZdzqLbuEEz2jMNXmpwcXPdzo1Ntbezz3zv7pwoS5cqH6/pqdr06Zat24Z+76GCZ4V1e9Xv99OtmNjbcDLMDNT09M1Pd0OZmbmBwsfnj9f587V2bN17lw7aMbT0/X773XgQG3fXv1+dbv/9s+5WgmeFdXtLqprerqmpmpqqs6dq/PnF40vvm82aAZzGy98OHc/O3tFO/PTT1UXndhf2wTPCmkm0rfeqvfeq8GgnYdnZ9vZeOF44WB55o4gOp0aDufPEQaDdoNut/r9mppqN84heFbIYFDdbh0/XkeOXN1vNBfwYDBffrdbmzbVxERNTNT4eN14Yw2HtWXLou0TCJ4VdcMN/+2rnU57zD93GxurXq8ddLvV69XYWI2P16ZNi+6bkpvbP35p48Z2qW/hcn1zP5b0ZhTBs0Karu64o7Ztq/Xra8OG6vVq48YaH//n28REXX/90ic3bhz1j7HGdYZRSxaM2uxsDQa1YcMyX77wPLxx8QH5kmeijtgvS/CMwGBQg8H8ctpck5caXPw8yyN4VtSS98CxwpzDs6JEPlpJC5QQT/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQJC/4fn/p31tBjLzgm2spzM5mXcoMqiou+PPn69ixOnOm1q2rTqf9E02IERN8cxj/44/1+OO1a1cdOFA//7z8iyTD2hT29/BvvlnPPNOOb7qpHnmknn22tm7NuqwZwcKCn5mpY8fqtddqcrJ++62qqtut+++v556rxx5rL5jWrOr1eiZ/rj1hwc85ebIOHapPPqlvv62qWr++Tpyo22+vwWB+tp+dbVf44FqRF3xzGcTm009OnaojR+qdd+qBB2r//vYK5pOTdeJE7ds3P+E71edakRd8YzCofr/9JMEzZ2owaC+Y/uef9cQT9dlntWNH7d5d+/bVLbeMdk/hX5QafGNh9s3B/C+/1J49NTnZbnDzzbVzZz3/fG3duuiFw6E5n7UoO/jGwkslDwY1M1NffFGvvlpHj9Yff1RVbdhQ27bViy/WQw/Nv6Q51HeGz5oi+Es7ebIOHqyPP67vvquqOny4nnqqqizssXYJ/p80n5DQZHz6dB0+XF99Va+8UhMT1enUDz/UwYN177316KPtmf+FC2Z71gTBX1pz3N77+9L9zftwu93av79efrl6vXrwwdq9u/butbDHWiH4yxkO2wm8223X6t5/v156qb7+ut3gtttq+/Z6+unatm3Rq8qnLrDqCP7KLFmWP3u2vvyy3nijPv20Tp+uqrruutqxo44cmT8iKIf6rDr+LV6ZJXP1+Hg9/HC9+25980298ELdeWdNTdX69dXrVb9fVXXqVE1Pt59m3nxgKqwCZvjlWnjQfvp0vf123Xdf3XNP9fvV7dbevVVVTz5ZO3fW5s3t9o7wGTXB/3+WLOw1tU9O1vbt7f8Iu3bV7t21Z0/deusIdxMagv83NAt73W47h//6a334YR06VJ9/3m6wZUsdPVpbtpjnGS3BXzV//VXHj9frr9cHH9Tdd9dHH9XmzYJntAR/FSz5ndz331dV3XXXyPYH/ib4q8av4ll9epffhOWZS135rBqCv/qkzqrhjTcQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5D+XuCIlX4UkJgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "action": "('move', [-5.238039861068429, -1.1582333994743794, -12.761708006699015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH9klEQVR4nO3bXY9V5RnH4XvtPZhYTKSamFClR2Da9KiDqIkx1h5gSniLNYo1FsHKF/FDtJVGrVAQtFUTSQwx2BY5MalVA2nTStRGiC0S5YS24+z19GCPzDhp+qqzgf91He+drH3wm/tZ96zVtdYKyDCY9AUAS0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwECQo+NZqNKq+n/R1wOR0rbVJX8NSm52trqvhcNLXAUsuZcK3VidP1t69depUTU3VcFiffFKj0aQvC5ZWxITv+xoMateu2r271q2r79zVNm2um9Z1VdVatVaDlL97pLv8gx//vg8+qOlv1odna3a2qtoN19ett/QPbh9u3rz4k103kcuEpXD5Bz8a1XBYL71U27bVuXNVVd2gWl9VbfmXujWr+x0P1wMPDK69dv7zXWfmc3m6/IMfG43qzIe1+8dt397+nfeGf5+pmi+/rrl69OD2wc6HuzVr6sorqyz2uEylBH/B7Kie3tcfPFivvTb4819aVTc1NT7nV1XdfXfdv63dcmu3alXVOPuq4dQErxc+T1nB93113dxd+qtH2wsvtEOHut/9vlUNli2r1ubu8NdO15ZNbcPGbu1N3fhbVQ75XA6ygh9beFz/4x/a0aN14GB3+HBV1WBQg8E4+37VqsFtt7Vt99WWrfN7PIs9LmmJwVdVa9X31VpNTVVVnTtXJ07U44/X/v11/nxV1WBY/aiq2lXLu6/d2N//QO38wWDF1XNfN/O5RIUGf8E4+/G0b61On64nH+/37Kl33hvMzLSq+VF+zZdH398+3LmzVq/+zGJvMDDwuWSkBz+26KA+O6pnDrSnftr/5reDM2dq0WJv06ba8VC7+ebu+huqqkaj+ZMCXOQEv1hr8+X/+lftuefayy93x09UVbdsWbW+ZkdVNZqeHtxzT921vqbXdlVzT+ma9lzkBP/PLZzbb79drxypZ39eFxZ740fxq9pXV3V33NFv3drd/d250G31uJgJ/l8Zv067bFlV1ccf15tv1t6n2r797fxfB1U1HI4He1u+vL7x9Xb/97qHdnQrVsx912KPi5Dg/72+r76fm/b9qE6drn372mM/7P90ajg7O7/Y67q67rq6997atatuvLGuuGLu8608scfFQvD/qUXv1Y1GdeDp9uQT/RtvDc+caVXdpwO/qmrjxnrkkbZuXa1c2VXNLfyGQ0d9Jkzw/7VFd+nHXm0HDtQrv+yOH6/6dJiPj/rT03XfffXtO+dexR2/pQsTJPj/3cKj/smTdfhwe/75uSf2hsMaDmtmpqraV1a29etr65Zu89au6z7zXwBYYoL/fy1c7H30Ub3+ej37TD35RP+3mUFVDadqNFtV7arl9a07uz17asUKzTMxgv98LJz2o1Gder/9bF/95Ef9u+8P+76qq2p1++115Ii3bpkkwX+eFi32ZmbquV+03Y+1N94anD1bhw7Vhg3u5JkkwX8hFh3ajx2rF1+sRx/1BC4TJvgv1sKXc2DiBL8UFi72YIIED0GsjyCI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CHIPwAFrOUEqawIXgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "002d9a5a10bad797df7426683112ffa94ff79d395305b8c31259c2dde6424695"} +{"episode": 14471, "episode_seed": 1769721791, "split": "train", "timestamp": "2025-09-15T22:56:02.827212", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1769721791, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "action": "('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "action": "('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "action": "('move', [0.3882114793633212, -0.9693071449593152, -19.426297209881238])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a1fde6fee280c8497b8238bbc50cd5c76c68d985c1cd810ab73f42d828fdd88e"} +{"episode": 14472, "episode_seed": 2465555955, "split": "train", "timestamp": "2025-09-15T22:56:03.803100", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2465555955, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "action": "('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "action": "('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "action": "('move', [-1.794851364091054, 3.3216343399678436, -19.977045957090013])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJvklEQVR4nO3dXY+UZwHG8Wvfukjb0FJW49K6vFPEhCirRRMTExN7aOJnMPoBPGg89AMYPTLxQI8bD/wKcmRhY5s2RBGIgICrVSkFt4nA7o4Hs92FBcS2LC9ev18mZDKzz+4smf/cz3M/s3OPDAaDAB1GH/UDAB4ewUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR8Uf9AHjMLC1lMMjISEZGkqxd4f/CyGAweNSPgSfNrc8ZLwdPFCM8SZLl5YyO5sKFvPZaPvggX/hCPve57NyZHTsyM5NNm2774jsjX15e2S8YdZD4WDPCkyRZWsrYWH7723zzm/n3v9dun5jI5GQ++9l8//v5wQ9WvuzSpSTZvDmTk5mczPjdho3B4Lajg9ULj5QRniQfDtpTU/ne93LqVN5/P++/n6tXc/VqFhZy5kzm55MPXxe+/e289VYOHMhLL2VmZuXymc/kxRezd+9K/yMjd3khWFzM8nImJtbKH74i8LAY4bmH+fmVy6VLmZ/Pq6/m61/P0lJGR3PoUE6cuMsm3/pWfv3rPP10BoPMzeXo0UxPZ2oqU1P59KczNbX+0CDJYJDFxdvmCB0UbCQjPLcY5pdkbCzT05meXv8FY2MZDPLzn+fChVy5svaK8Pe/5513smXLSu0jI3n99fz0p0myeXNeeCHbtmVqKtu2ZevW/OhH2bo1SW7ezPh4JiYe6u/YzQjP3QwG6y/j43cfe2/ezMJCFhbyz39m69bMzKzM4f/kJ/nlL/PnP2dhYf0m589nZiZJfvObvPZaJieza1d27szMTHbtyle+kk99yq7+BhE8H91wNi7J2Ng9s7xxI9evZ3Exly/n3LmcPZvz53P6dCYm8rOfrYzwv/hFvvvd27Z68cUcPZrdu1fOGvCg2aXnoxsbW7s+LH/4763z8E89laeeSpLnn8+ePeu/w7Dn2dn88If5619z9myuXs2VK9m7N888s+GPv5gRng1zr6fWXXcKlpdz7lwWF7NrVyYm7NJvEMHz6AzP1Q+vjI8r/CEQPI+H4dRg4tB9Qwkeing1hSKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKC54k3/Gi85eVH/TieBD7iiifS6tN2MPApeB+B/yoed8OPtxwuSL1qdTXa0dG8915+9ascPZrEOH8fFqLgcbS6wlU+XPZi9TOsl5Zy40YuXMgbb2RuLm+8kXffzXvv5TvfyTe+kZERH2n/3wiex8VwGB8O0beuKJ3k8uVcuZKLFzM3l+PHc/z4yurVQ6OjWV7OiRM5fz47dmR5WfD3JHgepXWRj42tjOfDMfzixZw7l3feydtv580388EHK1uNjGRiIsvLK8tYDDe/fj2XL2fHjnsueEMEz8O3uhrdYLBS+DDyhYWcPJk//CEnT+b06Zw+nVOnVlavTjIyksnJLC1lcTGDQW7eTJLdu3PgQA4cyL59efnl7N+fWMnivzJLzwZaN812p3/8I7/7Xd58M2+/nYsX85e/ZH7+tq3Gx9fWqk0yOppDh3L4cA4fzr59mZ7O9u159tmN/B3+vxjhecDunG+71eJi/vSnHDuW48czN5e//S3XruVf/7rnd1tezpYt+fKXc+RIjhzJ/v157rls2ZLxW565w5Pwo6MZHXX0fh9GeB6A4Tmz4WzZrSkOBrl2LVev5ty5HDuWubkcO5Z331059r6rzZvz7LPZti1f+lJeeSVHjuTgwUxOri95+BNXT87xPxI8n8hw5mxiYu2WGzdy6VLm53P2bN56a+WyOt+WO/bSk0xNZfv2bN+egwczO5vZ2ezceZefdd8DBO5L8DwA167l1KmcOpUzZ/LHP+b3v8/Jk2vvgRkdzcREFhdvG9h3786+fdm7Ny+/nM9/PgcPZtu2tXtXtzWAP1iC52MaHjafOJEf/zhnzuTixVy8uHbvcN9+3VvcDx/OoUP54hezZ09mZvLSS3nmmbV7hxPvw+NwM+0bxKQdn8iNG3n99Vy/vv724Zmz557L7OzKofiePdm6Nc8/f9v+//Ac27DwW29ngxjh+ZhWnzj79+fMmSTZtClPP50XXsjsbL72tXz1q9m3L5s23TaNl6wcwA8jt7v+kBnh+ZhGRrK0lLGxvPpqpqfzyiv3mW9bfYv7nefqeGiM8HxSi4vrT8Wttm0Af9wIngfg5s21P1YV+eNM8HxS/hz1CeLsB5+U2p8ggocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigoci/wEYMlmRDz2r2wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHDklEQVR4nO3Z0U5c1R7H8f+eGUOlFDQU0BYERs+FV72wV8anMD6Rz+Ir+BAmPoDJiSPagaO01taB6KEzs70YBIqgOUkLnPw+n+wQQmZP1k74rrVmTdO2bQEZOtc9AODqCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C9K57ANwU43FNp9XpVFV1OtU01TTXPSZetaZt2+seAzfUZFJte5z9rH9TwP87KzxVVdNpffFFffVV++GHzfp6bWzUe+/Vyso/33huvTAj3HBW+HSzNfz33+uzz+rLL+uNN2purubna36+bt9u15Yn7/+rs/V+p79d29vV7//zLNC2NW2rzmwNykRwYwg+3Sz4X36pjz+ub7659GXdbvV61e3WnTvV35r0P+j0+02/X/1+bWzU7fn21q1m7lbNzV18+2RS0+nphwIfEK6L4NPNgn/2rD79tL7/vkaj+vV5+9+jtqqpeqnI2XnedPrX95guL022P+htbTebm7W5WVtbdXe5XVysxaVmcbEWFy9oezqt8bjqz/gdE14NwXPs4KD29mpvr3Z3290fJns/dh8/afb3a3+/Hj+u/f12Mjmf42zNb9t6Ma72/ETQrixP7210771b9+/X/fu1tjpdW21X1jqrq83qar399gVjmG0EOp3qdl/TU6YTPH9nNKonT06vn36q4bAeParhsHYfTXb/U1WdsxuBpqler5qmJtOajM+92bSpWr7buXu3/rzae2vTjc3O+kazvl7r6/XWW1f5cIkEz7G2Pb1m+/Ze73gbf87hYR0c1MGoHf3aPn3W2dmp776rk5+7uxfc0jRVzV93AVU17fWahYVmYaEWFmphoV1ZqYcPm88/P/1GkFdI8FxqFn+dmQv+ZrM9HteLF3V0VL/9VsNhffttDQY1GNTg3+PBoHl+0D06On7NRacAL/noo/r6a8G/Fr6H51IXnqKdLBAnv8xe1utVr1dvvllLS/XOO/Xw4ckdvaoajWowqJ2d42swqL29Ojiow8MajerwoH0xPj0m7Pdf+6PFEjz/m5Mp4MLl97L94p079eBBPXjw0h+fP6/hsIbDGj6qH3amez92f35a+/v1ySevdMScYUvPFTl7RjDbrvcuWm6ePq1ut5aWrnx8GQTPtTl7Rjj7N7zsmJBXRfDcICeLv+O610TwEMT+CYIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8AUI+VHNBD0tUAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "12d8cf9acb3186ecbe393adedf9bc120d9b048d2d04dbe27432763f1969bf5c0"} +{"episode": 14473, "episode_seed": 485477091, "split": "train", "timestamp": "2025-09-15T22:56:04.429665", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 485477091, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "action": "('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJZElEQVR4nO3dz2vkdx3H8ddkEjZZdwt7cVtULOLJoiJCf0iVUkVsQUGU3YtCvXrx4KGn4sE/wENBL5YWtYWKqFDoRbEtgnixWESw9aBg0SKiZNNt7W4yXw8zm8TVUpwsZr55PR6nJMzChyzPeX++n/lOZjIMQ4AOa8e9AOD/R/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPCrahgyDMe9CE4awa+qySSTSfb2ZM8NJPhV9ec/J8l0mskkV69mNjvuBXESCH7FzMP+zW9y33158ME880zeeCMbG1lbkz1HNxnsGFfK7m7W1/PlL+db30qSra3cd18+/vF85jN55zuPe3GMnuBXzDBkMsmvf52nnsr3vpeXXlr8/Lbb8rGP5YtfzO23ZzpdPGz+fzeZHON6GRfBr7BXXskvf5lvfjPPPZcrV5Lkrrvy4x/n7W/PbJa1a5dje3uZTA6+hTcn+JV0uOdhyG9/m0ceyQ9/mE9/Og8/nL29rK/n+eczDHnf+7K1lSS7u4vsDXzenOBX2HU79kuXcvlybrklw5A33sgHPpDf/z4XLuRzn8sdd+Td705Me96C4MdgfhPO4Yz/8pfce29+97vFtx/6UO6/P5/6VO6+e/F4c57/RvDjcXjg7+7mj3/Mz3+eH/0oTz21eMDNN+fDH85Xv5p77jl4gnCwxyGCH7mdnbz4Yr7//Xz3u3nllSR58slcuLB4ee+w2Wxx9x7FBD9as1mGIdPp4ttLl/Loo3nppTz0UG6+OUlefDEPPZQvfSl33plz5xYPu3o106mL/FqCH7n/vLzPtW38176Wr389SW67LQ88kE98Iu9//8ETBJUEf4IcvlwfhjzxRB5/PD/9aa5eTZJz5/LZz+aTn8w99+T8+YN/YpPfRPAn2muv5dln85Of5Ac/yMsvL374+c/nkUdy000HtTvYq+Fa7uTa3c3p07n//nzjG/nZz/Ltb+ejH02Sc+eytbWo/a9/zc7OwWHe/FyAk8uEP9GGYXFb3txrr+UXv8h735tbb02S7e184Qt54YV85Su5eDG33OIK/8QTfIH5wd7h1+T29jKd5vnnc++92d5OkjNncvFiLl7MHXfk7NnEDv9kEnyZw6d0ly/n6afz9NN57rn84Q9JsrmZZ57JnXcunhE4cQRP8sILefbZfOc7ec978thj2dpyi85JJfhuu7tJFhf5f/pTkrzrXV6rO8EEX28YFofz8+zVfqIJnmvmfzDPXbcnmuChiKdzKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KLJ+3AuAt7a3l2FIkuk0k8lxr2bMJsP8FwkUMOFZdf/8Z371q1y5kr/9LR/5SN7xjgyDOb8kE55V9/LL+eAHs7eX7e08+mgeeCCzWdacPi3FhGfVnT6dv/8902mm01y+nMR4X57nSVbdqVPZ2spkktksr7563KsZOcGz6iaTnD2b2SzDkJ2dxU9YjuBZdWtrOXt28bLczk4cOh2F4Fl1a2u56aaD4Hd3k8h+SYJn1c239HOvvpq9vWNdzcgJnlU3n/Bz+xOe5QieVTeZHARvwh+R4Fl1h4M34Y9I8Ky6w9fwOzu5evVYVzNygmcE5hN+MrGlPyrBMwLzCb+2Zkt/VIJnBOYTfm0tr79uwh+J4Flp8xts9oNPcuXKca5n7ATPCOyf0ieLN8yxHMGz0uYTfv+UPsn29nGt5SQQPCNw+nSSg9vpWZrgGYGNjSSZzZLk0qXEO2SXJXhGYGMjW1v/FjzLETwjMJ3mzJnFll7wRyF4Vtp8676xIfgbQ/CMwPp6zpxZfO3Q7igEzwhsbBy8MmfCH4XgGYHDE17wRyF4RmB9PW972+LrS5f8QbvlCZ4RuG5LP399jiUInhFwaHejCJ4RWFtbBD+ZZHvbln55gmelTSaLvPeD91kURyF4Vt11wV+5ktdfP94VjZjgWXXzI7r94IfBO2SXJ3jGYf/QLtfO7WzslyB4xmFzM0mGIcPg3pvlCZ5xOHUquTbVbemXJnjGYXMz0+m/fUo8SxA8q27+DtlTpw7+0JUt/dIEzzicOpWtrcXX8+Ad2i1B8IzD5ub1wbMEwbPqrtvSR/BHIHjGQfA3hOAZB1v6G0LwrLo329I7tFuC4BmH/Qk/f8McyxE8IzAMiwk/f/PMP/5x3AsaLcEzAvPd++ZmhmFxvx3LWT/uBcBb2P8YuQsXcuutOX8+588n1z4unv/JZHD0ATVMeEZjby+zWSaTTCaZTo97NeNkwkMRl0FQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQ5F87ri3D1mauvwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "action": "('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "action": "('move', [-5.783756725361873, 5.816956315510702, 32.40248070471913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIHklEQVR4nO3c/aukZR3H8e99z9mjCauCFOlaIKyBwtKS/tCim4JaHhdCLRbMIikx7YH9D/wnQgJ3i0TtQbQffEDdHs6WhAkmyLYrIcaKT5iGu6GFe2buqx9m9OxuP1SEnrPzeb1+G85chwvmvOea+7qvOV1rrYAM/VpPAPjwCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCH79akO1ttaTYL4Ifh2Z5v3SS/Xaa1VVXV9dV5NJTSZrOy/mh+DXkcmkWqvbb69Nm2rXrnrqD+3IkRqNajSq8bjGYws+/6+u+SNaHyaTGo3q4MG69tp64YUahqpqV11ZO3fWJZfWBRd0VTUMNQw1GlXXrfV0OTkJfr0Yj2thoXbvrltuqarasKGqamWlqobNm7ulpbpmqa5emoU+DNV1sud/Jvj1Yvo6vPJKLS/XfT9vDz/SphdcCws1HldVO+P0uuiitmNHfeOb/ZlnHjdQ+fyXBL8evfNOPf98u+vH7d576o2/9VXVdbN3hL5r52zqlpbq1ltr69bq39uEmUyq75XPfyD49aW1am0148OH64H7a8/u4bk/90eOtKqu76eX9zXq27bPDt/bNdq+vZ199iz0lZUajVaHwwkEvx5NX5Njl+t9++ruuyZPPjV67rmqmi3mk0lVtXM3tZtu6peuHj5zcX/qqVVVKyvV9zUarcHMWecEv95N1/Ppon3oUD34YO39ZT36cBuqq6rFxTp6tKpqcTR88bru81e1pWv6c8+tqhqPq++t9hxH8CeHyaSGYbZ1/84/6snft8ce7+65u73+16rqFhZqMlQbqqpt3dpt31433FDbtq0O//ePDGQS/MlkGGoymWVfVYcOtX37uju+P3n6mb6qq6r3r/DPOqu2bKmbb67rr6uPnLY6vMqaH03wJ5/WajKphYXZw6Pv1h+fqR/cMTy2t95447ia+77O+fjkq1/rvn5Td9553SmnVNXsoK4t/UyCP1mdsJ9fVa+/Xnv2tEce6fbvr7ffrqoaLdRkPP3h8OUvdV+5sS6+qD7xya7eO8br0F4awc+DY+MfhnrooXrwofr1r9qLL7aqfsOGam12eufTW+q669uVV3WXXDILfTyWfRDBz4/pR/3363322fbb5XrgF/W7J1pVP70/v7JSVe1jH+0+d1nt2FE7d9Zpp83GTil/vgl+3kyzr5pd5L/5Ztu/v+69t/vJ3ZN/Hh1V1Wg0e8LiYp1//rD0hfrWbf3mzau/YRhs7M0twc+tadXT4zfDUK++2n720/rRD9tfDvXvvnvcMzdurMu2T7793dGll9bGjWswVT40gp9zJ+zttVaPPlq7d9fTT9fLL1cdcyevavjU5rrtO/0VV9SFFzqoN58En+KEszcHDtR997Xl5e6JJ4bp1/I2bJhe4demTXXgQJ1xxlrNlA+Q4OMce3rn8OHa+/jw+N7ugfvbkb/3VbW4WDfeWHfeuXqfn3ki+FDHZj8M9af97TfL3Z49deBALS/X5ZfbuptPgo82DDVMauG9s7pvvVUHD9aWLXX66Ws6LT4wgme2sed/ZiUQPKt8qW7u2ZlhldTnnm0ZCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIvfGXNUk2f4egAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b6af3ce8d58bc6d7dd044c7050dbb25a6a17b96d23f502c96ca5b04bb26c30c7"} +{"episode": 14474, "episode_seed": 1278273062, "split": "train", "timestamp": "2025-09-15T22:56:05.064359", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1278273062, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "action": "('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJe0lEQVR4nO3dT6hUdR/H8e/M1XuvQsmjRoXQJqIITCkIDCKKFkG1ahMhVIssCLJ/SISBIIFhgSRlKBFYLaxo0dKgtkVQRMsKCowQChLM6t479zyLM8/oU6uH53rnzHxer9XU6txx3vP9nd85M9NrmqaADP1xHwCwegQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQRPnuXlWl4e90GMR69pmnEfA7BKTHjyfPhhvf9+VdXS0rgPZbWtGfcBwGpZXq5+vw4dqqeeqquvrq1b67rrhv8zRtCfSrper6rqppvq0kvr++/riSfq3Lnq9aLO5zsa/PJyLS3V4mItLZVNBlZGr1dNU7feWgcPVlV9/HHt2zd8F4h5kdm0I8xgUL1e7dpVb75Zc3N15Eg9/PC4j2n1dG7CDwZVVZ9+Wjt31r331gMP1DffVFXUsouLqd+vXq8OHqwdO2pxsTZvrgqa8J3btFterpmZ+vbbevfdqqr5+Xroodq6NedfhIusPWn/17/qyJEaDOrGG4fDpF3bT7vOBd8+7evX1/x8LSzUunXDmS94Vky/X01T27ad/8+q89lPdfmdW9K3Zmer3x9u3S0sjPtomD4X7tWdPVsvvljvvDN8I5hqnZvwrdnZmpmpqhoMBM9F02Z/+HDt3VuXX17bt9cNN9RgMHzxTaOOTvi5ueE6azCov/4a99Ewrdp5fttttWVLnT5djz5av/wyXFtOqc4F377njib88vJwwk/7UotxaDfwbrmlXn65+v367LPzV+anVOeCb10YvAnPRdQ2f//99eyz1e/Xa6/VW29N8ZCfgOCdw3MRtfN8ebn27Knbb6+qevrp+uqraW2+o8GPzuGbRvBcZG3bmzbVq6/WlVfWb7/Vzp31889VU3gm2bng2zfctWvPb5S2S/qpe+bpkjVrajCo66+vw4drdrbuvrvWrZvKk/mOXpabmzsf/OLiWA+FEDMzNRjUfffV55/Xtm3Dc/up++RsR/+e0ZK+yqYdq6UdMtu3D2d7v19//lk1VcvLjga/dq3gGZP2G+9+/71OnKgHH6xTp8Z9QCvJkh7+od+vn36q3bvr9Omam6vjx6dmed+5v+FvN95UufGG1dXr1WBQV11Vu3ZVv19vv12vvFL9/vBTXBOuc8FXVdP8V/DthJ/GHVM6qderfr/m5+v55+uuu6qq9u+vkydrZmYKvvSyo8FfeFmufZIFz+ppt+jn5+vo0brmmjpzpvbsqVOnas2aSb8bp6PBV50/YzLhGYP2o7JbttQbb9T69fX11/XMM3XuXNVkf/tS54IffYnoPye803hWVfuau+OO2revquq99+r48UnfuuvoLn39I/gJf56ZTO38efLJ+uKL+vXX2rGjmmaiV5vdDX52dvhgcdFsZ3z6/er369ixWlqqTZsm/fpcd4Ofmxs+WFyshYWam5M9Y9I0tWFD1X9+u+aPP6rfH74iJ23ad/e9an5++GBpaQquhjDJ2pP5tvYvv6x77qm9e6tpJvFnUrob/N8mfLn3hjEaTfKjR+uTT+rYsfroo1q7duJ27LsYfPvcjoI34emE9tR9//7avr3OnKndu+u774afsZscXQy+dWHwbqenE5qmLrusXn+9NmyoH3+sxx+vs2cn68utuxv86Bx+cVHwdEN7m/2OHXXgQPX7dfJkHTgwWb9dMQHBm/B0SDvPH3usHnmkquqll+qDD6ppJmXIdzf40XX40Tn8hDylTLV2x75p6oUX6uaba2mpnnuuFhYmZch3Mfj2qbOkp6PaL73csqUOHao776wDB2pNd+9n+ZvuHujc3PDN1JKezpmZqaapHTvqxInauHHcR/M/6OKEb83PD0e9CU8XtbfZb9zostzKmJ0dBm/C01Ht2n6ifnmyu8GPJvwoeJt2dM6kfZCmu4fbnsNX1eKiO+1gZXQx+NEuffvu6RweVkoXg29deB1e8LAiuhv86Bx+MBA8rIwJCL7Kph2sjO4GP9q0Kz8+Ayuki8GPPg8/uuRhlx5WRBeDb7UTfnRlDvj/dTf49hxe8LCCOv3hmZmZ4ap+ou5Whu7qdPCje+zOnh330cBU6GLwo027a6+tc+dqebmuuKJq8m5bhs7pNV29ut009cMPw8ebN9cll4zzYGA6dDd4YMV1cUk/MvqS/4n6XlDoLhMegtgHgyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/BjR1BY2z+xaUAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "action": "('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALDklEQVR4nO3cbWiVdQPH8d+5ztmO2cOsNF+oFSgUo7QHerEgwoeEmG/KWIugaYpGYmUzyhKzIrJMkrmZKeQ4GuKSkhCJskH4IlEIhR4gyTCaZWkiPrTNc3Z68b/Y5OZ+cd9z7pzr/L6fV2PsxbVzru/1/1//6yFVLBYFwENU6g0AMHwIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgoefvj719ZV6I0ojVSwWS70NAIYJIzz8fPKJPv5YkvL5Um/KcMuUegOA4dLXpyjS2rVaskQTJ+r223XrrfEvbRj9q3CXSknS3Xfrmmv088965hmdP69Uyup8nuBhI5VSsaj77tPq1ZL05ZdauTI+CtisZBE8nKRSKhQ0f77mzZOklhZt3qwoirM3QPDlzmbsGS4h79WrVVenCxc0erRk9ClzWa6sma0oDZfwsR46pEJBd90Vn8N7fNAEX74KBaXTOnVKo0bFu6jNxPPyKxb/89MM2adSlf0pWxzVkijUvm+fGhq0Y4fS6VJvUIW5eK3u7Fm9+aa2blUUVfzcnuvw5ahYVDqtvXs1Z46OHNGPP6qmRjNn/pdhCZckfJrr1mn5co0dqzvu0OTJ8bG2QjHCl51Q9eef65FHdOSIqqvV1aXWVknUPtTCeH7//Ro3TsePa+FCnTihKKrgK/MEX0aKRfX1KZXSjh1qaNCff6q6Wr29mjpVLS3xH2Aohbtu7r1X776rKNK+fQNX5isUwZeLYlGFgqJI7e1qatKZM8pm1dur+npt366bb46PBRhiofnGRi1dqihSW1t8Zb5CB3lW6ctCqD2T0bp1WrpUvb3KZtXTo8ZGrV+va6+t7PPKUgttnzqlRx/VV19p1Ch1durOOyvyoijBl16YyafTeustrVgRt53P68kntXatrr66Ine8MpPPK5PRDz9oxgz9/rtqa7Vnj8aOrbyrdOxHJRaW6NJpLV+uV16JB5t8XosXq7WV2odLJqNCQbW1WrdO1dWqr9cVV1RY6gEjfCn1x/z883rvvfjnvj69/LJef13pNLUPrzC5OnhQU6bE5/YV9+kTfMmE3amnR4sXa9OmgRvp3nhDy5YN/AFKqbtbI0ZU0v0P7FClEWI+c0bz5mnTJqXT8cR+zZq49mKR2kskvPHu3Dlt366mJv32W6k3aChxp10JhJhPn9acOdq5Mz5/zGTU1qb58+PLb5UyoiRTFKmrS88+q+PHlc0ql6uY6VYl/A/JEqaHJ0+qoUE7d6qqSvm8qqvV3q7581UoUHuphWfmb7xRCxYoirRli9asURSpUCj1lg0BzuGHVVgVOnZMjY3auze+2H7VVcrl9NBD8bUhlF44Knd3a/Zs7d6tmhp1dGjmzAr4hgh++IS95cgRPfaY9u/XiBHq7tbo0crl9OCD3FpTZsIcvqtLU6fq8GFNmaJduzR+fNLn9gne9GQJtX/3nR5+WPv3K5tVd7cmTFBHB7WXpfCo7Lhx2rBBI0fq0CE1N+v8eUmJvuuW4IdDWJM7cEANDTp0SFVV6unRpEnq6NDUqdRersJLL6dN08qVktTRoVwu0cO7WKUfBuHh9q+/VlOTjh5VJqMLFzR5sj76SLfdRu3lLdx+89xzOnBAJ0+qri7p1+Q5h7+8Qs+7dmnevIHHXevqlMtp0qQKWAOycfq08nldf33Sz+EJ/nLpfwCuo0MLFuj06XiVbvp0tbdr/HhqT47+UT3U/s8/iiJls0kc7RN8rCpnxWLc8+bNmjt3oPZZs7Rtm8aPj48FSIZwMh9q//ZbzZql5cvj7zhp4yXBXxZ9faqqUlubFi7U+fOqrlZ3txoatHWrxoyJH4ZFkvSP5Bs3qrNTmzbps89UVZW4FXum9EMvTPTeeUfLlsV30RYKmjtXra0aOTKJ00Bc5K+/NHOmDh7UTTdpzx5NmpSsdVdG+KHU/2rzlSv10kuS4toXLdL771N78hWLGjNG69erpkZHj2rRIp09m6yXWxP8kOlfvn3hBb32Wvy4a6GgF19US4uyWV5Kl3zhG62r06pViiJ98YVWrUrWww9M6YdGmNb19mrJEq1fr3Q6Pui/+qpWrJB4uL1ihO81ldJTT+mDD5TJaNs2zZ4d/7LsEfwQCDGfO6enn1YuN/CmmrffVnPzwB6CChGmaseOxbdJT5yo779XNlvqzfqfMOhcqosfbg+1h0tuLS1qbuZx10oUXmI9bpzWrtWMGVq1KkGXWBnhL0kYyU+cUFOTdu+OH3cdMUIbNqipiVtrKlpYgP37b113Xak35f9A8IPX/wDlE0+oszO+taamRhs3qqFBFy6oqqrUm4jLKuwBibosR/CDFL7rX37R44/rm2/i2m+4QR9+qPp65fPxa+pQ4ZK2GEvwgxFmc7/+qgce0E8/xY/ETJig9nZNm5asIz68cIo5ePm8rrxSknp7dcst2rJF99zDbbMoa4zwgxQG+T/+0PTpyuf16aeqrWVsR7kj+MELp2+HDyuVStwt1TBF8Jekf8kmaWs3MEXwl4ob6ZAgLNpdKlJHgjANBYwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+RdjJ/3l3ko1DQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "action": "('move', [47.4256452073218, 2.3548326795752144, -48.23073908883419])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ea3638fafc068253bdd70dae0223b9e1a35f79b419ab02307a47a82e0cbfcd80"} +{"episode": 14475, "episode_seed": 3562193976, "split": "train", "timestamp": "2025-09-15T22:56:05.695748", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3562193976, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "action": "('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "action": "('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK3ElEQVR4nO3dfWhV9QPH8c899+5B8I9BZSZhkIWORBxLsAhl1TacTSxoRA9YiJWhtgqRgv4MoX80rT+mPWxGFuIo1K2xgbWMpDK3KAKzBytURkZPVrLdh/44Z7tuv1+p6bxn9/N+/SVnDs5g7/s93+/5nrNELpcTAA9BoU8AwMVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBw14up1yu0CdxkRA87CUSSiSUzRb6PC4Ggoe9dFrZrIJAmUyhT2XcETy85XJ68kk1N+vXX5VMKp0u9AmNr0TOZvYCjBKO6l1dWrRIkurqtGmTZs6Mjhepov3BgDNIJCRp1iytXi1J3d1qbNTbbxdx7WKEB5TJaMsWrVun339XWZk2b9aKFdG6ffihUESK+cMMOLNcTkGglSu1e7cqK5VMavbs6Hi4dF9cIyIjPDA8nz98WN9/r1tuiWpPp5VKKZNREBTNUE/wgKThIV1SNqtEQqdO6amnNH26Hnts1FcnuFShTwCIh9Mv4INALS3auFFBoG+/1bPPqry8OJpnDg8MCwIlk1HV9fW6+WZls9q8WYsX66uvlEgUwSZcggdGCwLlcqqsVEeHHnlEqZT27lVtrXbtijbhTmQED/yPcDAvL9cLL2jTJk2ZoiNHdOedeuYZnTgxoQd5Fu2AfxbO2/ft0+OP68ABSdq3TzfdNHHv0hM88K8yGSWT+uEHrVmjq6/W+vUqKZmIqYcIHjiT8Ib8yZMqKVFZWXTkyBFNn67S0om1937CnChQMKmUsllNnqyysujW3e7dqq7WE0/o5EkFwQR6xo7ggbMQLt2P7MnZs0e//abnn9dtt+mLL6INeRPhYpnggbOTSESX7pMmacMGNTcrCNTbq/p6vfmmkklJ8X9tDnN44ByNbLlrbdXatTpxQmVlWrdOTz+tVCrmG/IIHjh34Za7INDHH+vhh3XwoCQ1NOjFFzV1avSlWIrpaQGxFm65y2Q0b566urRsmYJAf/6psrJoeA8n/PHDCA+ch/AufS6nrVtVXa3q6ujI6V+NE4IHzs/pk/bw319+qdde06pVuuyy6B5+bBA8cCGEF/BBoJMnVVen/fu1YIE2blRVVax25sTlPICJLQiie/WplG64QZLee09Ll2r79qj2eIysjPC4eEa2rsRmwBs3r76qtWs1MKDycj36qNavj8m9OoLHxZDNKpNRSUmhz+PiCK/h+/q0cqU+/FCSlizRhg266qqCvx6P4DG+slml0yotlaTBQb3/vqZM0XXXxWTAGzfh6t0vv6i5WW1tkrRokdrbVV4uFfK52hitH6LIhI+ZJJMqLdXx4+rsVHe3duzQggXq7S30yY238BUaFRVqbVVlpdradP/9mjQpmtIU8LwY4XFhjdla2t+vbdv07rvq65OGXxt34IDmzIn5JtQLYWRD3uHDmjEjWtUr6M/MCI8LY+R3O/x9HhpSZ6daWnTwoAYGpOExL5tVNqvubo/gR957fe21o44UDsHjfIUPhqZS0WbTo0e1Y4e2bNE334z6+8u5nC69VHV1Wr1aVVWSDNbqdVrz8XgBJsHjvxtJXdJPP6mvT+3tam3VqVOS8ptKy8s1Z44aGvTgg7riioKdbcHEI/UQc3j8F+HQHSZ96JC6u/XWW9q7V5KCQKmUBgclacoU1daqsVG33x4t1MdmqDNF8DgHY17W2tOjnTvV26tDh6Th/sPPgrlz1dSkmhrNnx99Y/ggCakXFsHjzEb2iYf++EPbtun11/X55/r5Z0lKJvPT9cZGLV+uefM0bZo0fNlP6jHBHB7/aMxO2MFBff21XnpJ27drYGDU4965nKZN0113aflyXXNN/ur99HV7xAHB4/8Ir8ATiegq/dgxffKJtm7Vnj3RVf3IglxFhWbP1j336N57NXlydHDMFQHig0t6jDJmsv3RR3rnHb3xhvr7JUXHw5cyz5yphQt1xx2qr89/rwp/pxn/huCRN/Lgdjqt9nZ1dKi7O9o2U1qqdDoaumtqtHSp6uo0a5Y0esUeMUfw7sYMy8eO6eWXtWuXPvssfzs9TLq8XPfdp6YmVVXpkkskKZ3OX/ZjQmAObypckBtZURscVH+/nntOPT368cex/3nGDD30kJqadOWVUd5h6nF6dxPOCiO8nTGPpn/3nXp71dKiDz6IjoSb3iVdfrmqqrRihZYsybfNzpkJjeBNDQ1p/3719OiVV3T0qDT8B9TCWXpVlRYu1LJlmjs3/y3F/6yLAYI3EhZ7/Lg6OtTVpc5O/fWXJJWWRjthUyktXar6ejU05LfNWLyRygbBuwhrHxrS3Xdr587oYCoV3WObOlUPPKDFi1VdHb2UZXBQqRSpFxtWXVyE989TKVVU5A9ms7r+eq1apdraaEiXNDQUvaYGxYcR3ki4LP/pp7r1VgWBamq0Zo3mz88P45kMO2GLHMF7CS/s29p04435t7CIBTkbBG9npG3Gc0ME7yidjv5QCtwQPGCED3nACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4GWjLUn4/J8IMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "action": "('move', [4.406217798397768, 1.1818049622834932, -30.202353816870033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItklEQVR4nO3dX6jfdR3H8ff39/2dswRtKyQXwwv/XWV1I0S78k8hrBTR8g8oaLhMa202yYsCBbcyzOUi2KTUNTEE/xVMdK7NvJClDiFreKG4lYgRXYlB7pzf99vF73gsKNZq2/nzejyuDoffxedcPH/fz+f7/Xw/p+n7voAMg7keAHD8CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ5ofV99P9eDOI6Gcz0AmDN9X00z80PVzM+Lmys8obqumqb27Kn9+6tpqmmq6+Z6TMee4EnUdTUY1IEDdc01tXJlPfFEVdVgUKPRXI/sGBM8ccYT+LfeqquuqrffrnfeqUsvre9+p/vbu9W2NT091+M7lgRPnPHS/b33atmy6vsaDmswqI3fa668vDvwRj8cLua5veCJMxhUVZ1+ej30UK1bV9PTfdfVxESz46lm1ap+166ZDyzKu/dNvyj/LDic8TK+6+rB7f03buze/Xs7OVmHDtVJJ9Vtt9X69R98ZjERPLlme35hb796df/7/YOJiZqaqqq67rratKmWLavp6WrbxfPEbnF9fcGRGNc+GtVnPtvs2t1cdWVNTVXb1nBYDzxQq1bVvn01HNZotHim94InXdtW19UppzQP/aLuvLOGw5qeromJ2ru3Lr6o376tGw6rFsuS3pQeqt7fh9M0tWNHrVlTBw/WeHrfDvqb13Xf/0E7vnu/0Jf0gocZfV+jUQ2H9dprtWZNv3Nn3w4H1ddo1F14YbNlS3PaaTUa1WCwgJf0C/z7Co6epplZsZ91Vv3yV8231vZNdaNRTU4Odu5szj+v3/lUN76Bt3Af1Ase/kXbVt/Xh5bU3fe0W7fU8uX9oUM1OVkH/9h88Qv9pk391NQC3oRrSg//3njF/tu9/bqb64UXajhsRqPq+/7aa5sNG2rFipqeruFCe91U8PAfjUbVtvXnt+vWW0fbHxxUNeM7eeecU5s318qVC+823oIaLBxfbVujUS3/eP30Z+3dP6wlS2pqqpYsqX376pJLum0PdOPaF9CS3hUeDmP2Mr57d61eXQcOvP/Eru3XfrM2bGxOOGFmLjD/CR4Ob/ZInDffrOuvr2ee6QeDZnw81gXnjbbeOzjzrGZBPLEzpYfDG+/J6fs69dTasaO/5ZaZm/kTE7X72fbzn+uefLIf/2aeT+8FD/+t8RP4tm3uuqv5+bZ++cdGU1M1OVkH/9Refnlt3Ng3TQ0G83oTrik9HJmuq76vtq1Xftevvr57cV87jrzv60uX9Vu2NiefPH9PxXSFhyMzGMxsvPnUp5tdv26/cl0//goYDuvRx5pzz62XXpq/p2IKHo5Y08y8Y/fhpXXf/c3mzf3Spd30dE1O1v79dcEFdf99M/f259uGPFN6+N/NTt137aq1a+vVV2t8bE5V//Ubuzs2DD7y0WY0Xe282ZAnePh/jffYvv563XprPf5437ZNVY1G3fnn1+Z7mrM/2cyfDXnzYxSwkI3PzDjzzNq+vW6/rUaj0fgduz17mosubh59pJ8/p2K6wsPRMbvZ7rFHuptuqr/8dTCe3p9wQv/t9d3td7Q1D07FFDwcNbNL+v1/qBu+1j//fE1MNKNRdV335cvqR5sHK1Z88A/t5oQpPRw1s0/jPnF2Pf10c8NX+6mprutqYmLwyGODVavquedmduzNFcHDUTbeh3PiibX13sFPflzLlvbjDXmvvFIvvlg1pxtyTOnhmBjvq2/b+s2z/fpbmpdfrquvrm3b5vgFG8HDsTJ7KuYbb9TDD9cVV9QZZ8zxGl7wcGz986vyc1t7CR6OgznvfJabdnDMzZPaS/AQRfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5B+ohg/8Pj2IgQAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAItklEQVR4nO3dX6jfdR3H8ff39/2dswRtKyQXwwv/XWV1I0S78k8hrBTR8g8oaLhMa202yYsCBbcyzOUi2KTUNTEE/xVMdK7NvJClDiFreKG4lYgRXYlB7pzf99vF73gsKNZq2/nzejyuDoffxedcPH/fz+f7/Xw/p+n7voAMg7keAHD8CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCJ5ofV99P9eDOI6Gcz0AmDN9X00z80PVzM+Lmys8obqumqb27Kn9+6tpqmmq6+Z6TMee4EnUdTUY1IEDdc01tXJlPfFEVdVgUKPRXI/sGBM8ccYT+LfeqquuqrffrnfeqUsvre9+p/vbu9W2NT091+M7lgRPnPHS/b33atmy6vsaDmswqI3fa668vDvwRj8cLua5veCJMxhUVZ1+ej30UK1bV9PTfdfVxESz46lm1ap+166ZDyzKu/dNvyj/LDic8TK+6+rB7f03buze/Xs7OVmHDtVJJ9Vtt9X69R98ZjERPLlme35hb796df/7/YOJiZqaqqq67rratKmWLavp6WrbxfPEbnF9fcGRGNc+GtVnPtvs2t1cdWVNTVXb1nBYDzxQq1bVvn01HNZotHim94InXdtW19UppzQP/aLuvLOGw5qeromJ2ru3Lr6o376tGw6rFsuS3pQeqt7fh9M0tWNHrVlTBw/WeHrfDvqb13Xf/0E7vnu/0Jf0gocZfV+jUQ2H9dprtWZNv3Nn3w4H1ddo1F14YbNlS3PaaTUa1WCwgJf0C/z7Co6epplZsZ91Vv3yV8231vZNdaNRTU4Odu5szj+v3/lUN76Bt3Af1Ase/kXbVt/Xh5bU3fe0W7fU8uX9oUM1OVkH/9h88Qv9pk391NQC3oRrSg//3njF/tu9/bqb64UXajhsRqPq+/7aa5sNG2rFipqeruFCe91U8PAfjUbVtvXnt+vWW0fbHxxUNeM7eeecU5s318qVC+823oIaLBxfbVujUS3/eP30Z+3dP6wlS2pqqpYsqX376pJLum0PdOPaF9CS3hUeDmP2Mr57d61eXQcOvP/Eru3XfrM2bGxOOGFmLjD/CR4Ob/ZInDffrOuvr2ee6QeDZnw81gXnjbbeOzjzrGZBPLEzpYfDG+/J6fs69dTasaO/5ZaZm/kTE7X72fbzn+uefLIf/2aeT+8FD/+t8RP4tm3uuqv5+bZ++cdGU1M1OVkH/9Refnlt3Ng3TQ0G83oTrik9HJmuq76vtq1Xftevvr57cV87jrzv60uX9Vu2NiefPH9PxXSFhyMzGMxsvPnUp5tdv26/cl0//goYDuvRx5pzz62XXpq/p2IKHo5Y08y8Y/fhpXXf/c3mzf3Spd30dE1O1v79dcEFdf99M/f259uGPFN6+N/NTt137aq1a+vVV2t8bE5V//Ubuzs2DD7y0WY0Xe282ZAnePh/jffYvv563XprPf5437ZNVY1G3fnn1+Z7mrM/2cyfDXnzYxSwkI3PzDjzzNq+vW6/rUaj0fgduz17mosubh59pJ8/p2K6wsPRMbvZ7rFHuptuqr/8dTCe3p9wQv/t9d3td7Q1D07FFDwcNbNL+v1/qBu+1j//fE1MNKNRdV335cvqR5sHK1Z88A/t5oQpPRw1s0/jPnF2Pf10c8NX+6mprutqYmLwyGODVavquedmduzNFcHDUTbeh3PiibX13sFPflzLlvbjDXmvvFIvvlg1pxtyTOnhmBjvq2/b+s2z/fpbmpdfrquvrm3b5vgFG8HDsTJ7KuYbb9TDD9cVV9QZZ8zxGl7wcGz986vyc1t7CR6OgznvfJabdnDMzZPaS/AQRfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5B+ohg/8Pj2IgQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "26549461e312f50129e3de10fc5313984e43342fec2be33d82728c660aab9531"} +{"episode": 14476, "episode_seed": 3265930795, "split": "train", "timestamp": "2025-09-15T22:56:06.672223", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3265930795, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "action": "('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "action": "('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "action": "('move', [-7.45735686106007, -3.1666319578452415, 33.669033899217766])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIi0lEQVR4nO3dT6xcZR3H4d+ZO3NLiAlIUigkUNBoUEhwR9i0UmkwRCMIWLo3hBigLCRAMd0JrbctQUpqQpS/VS/VDTslNRa3hJaYtKQrISykkrCld/68LuamEtGkgXKnt9/nWc/iLM7n/N455z0zXWutgAy9WR8AsHIED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EEf55rrVqb9UFwzhD8eWvaeddV12meZYI/P43HVV1V1Wuv1eKi5lnWn/UBcPaNRtXv19Kp2vds2769G4/r6qvrxhurteq6WR8cM9U1V/7zy7T2d9+tnz0+eeVAVdeb69W6dfXWW3XppbM+OGbNkv680ibV79ef/9Ruv71eOdD1B71qNR63DRuWL+wu7+EEf56YTKqqul7t/sXknnva0aM1P9+NhrVmMNm9UC++2F12WVVZ0qezpF/1pg/eer365wf10La2uFhV3WBQw2F949q2f39t/HY3/ZjaEfzqNplUr1dVdfhwu+/e9s6JXr9fo1FVTe6+s57d31u7tiaT5YdzYEm/io1G1evVcFhPP1233tq9c6I3GNRoVF++uHY+Ua/+obd27fLwVztTJvxqNR7X3Fy99149vr29cqDruur3azhs37qhLSx0t2zuDHY+TfCrz+lv43851B54cHLs2Nz8oJaGVVVbt7adT9ZV67vhsPp9tfPfLOlXmencrqq9e+uOO9qxY735+Voa1po1tWdPPf98d9X6bjSqwUDt/A8m/KrRWk0mNTdXJ0+2B+9viwd7VdXv12jUvv7VyXO/ntuwseoTt/Hg05waq8NkUq3V3FwdPly33DxZPNhNV+yjUd31w/bXv/U2bPzP8zn4f5wdq8B0aPe6tmd3+/732t+Pzc3Pd6NRfenCycJCO/jH3uWXu0XHGbGkP9dNb9F98EFt21aLi62qm5ur8bi+ee1437PdzZt60z12Bjtnwmly7lreLdvV4cO1aVMtLlZ/0FXVeNzu2dJeP9S7eVNvPK6uUztnyplyjlreVLNUe3dPbrutHTtW8/M1GtaFF7aFhTrw2+6KK7rpo3jLeM6cJf05p1WNhjUY1Pvv1/ZHJy8fqKre/HwtLdV119VTT9XmzVX2xvOZCP7ccvpO+6FD7eGH68iRrt+v8bhaa1u3drt21ZVXLu+xg8/Akv4cMh3avV7tWRjfeWc7cqSbH9RoVPODycKu9tJLaufzMuHPCacH+8mT9dC29rvft+p6g/7yK6779tWm73Qes/P5CX72Tu+Ne+ONuu++dvz48tvsVe3uuya/fGZu3boaj730xllgXszY9G780lI980xt3lzHj3fz8zUc1sUXtSd+3l49OLdu3fKOWrXz+ZnwszQc1mBQ7/6j7djRvfRy1fLe+Lrhhtq1s936XYlzlgl+Nk7/S8Sh1yc/fbiOvt0NBt1oVK3Vli1t165u/Xr35zj7LOln4PS+971724+21NG3e2vWdNNpv3t3vfBCt359jUZq5+wz4Wfjww/r/p9MPvGKa33tK+PnfjO3cWNVme18UQS/olqrpaV6882698fjY+/MTV+Dqao7fjDZ/6veZeuWP+P+HF8Qwa+c6Ur+o4/qppvqxIlac0Gd+rhdfFE98kg9+phfkmYl+A6/cnq9aq0uuaR27KjBoE593K6/vh18tT36WDf9fQu180Uz4VfadJvNAw/Uv07WkzvbNdd00/tzamcFCH4GWqtTp6qqLrhg+b8fYWUIfpb84CQrzHCZjellVu2sMMHPhm/szIQRA0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+DcK1DrAiFE1lAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "602e206fefd23eee202c828c4cda454571cd2f51ea08b3fd8389812d965b0836"} +{"episode": 14477, "episode_seed": 3096981720, "split": "train", "timestamp": "2025-09-15T22:56:07.295249", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3096981720, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "action": "('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "action": "('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKv0lEQVR4nO3dX2hW9QPH8c/zb0/mImdW6MpAogKVCCRhoGSRhLRW3QgSjUgwMMiwKLuRMDCTzSxEI0rpIsGKVLAEjZKIumiIYRcljArcZrBEXaV7zp8uznGT37/6lc/O2fm8X3eOXXyF573v93zP95ynFMexAHgoZz0AABOH4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJGcBR8ECkPFcdbjAIqpFFMXYKOa9QAuEQQ6cEDTpmnuXM2YoThWqZT1mIBCydOSfmBADz6ozk59+aUkhWHWAwKKJh/BR5Ek9ferVlO9rrY2SUzvwGWXj+AT/f1qNDR9um66SSJ44PLLR/DJxuGPP6pa1bRpmjmTC3igGfIU/FdfKQh05ZWqVhUEBA9cdvnYpU/aXrJElYoWLRr/CYDLKmf34UdGFMe66qqsxwEUU86CB9BM+biGlxRF6ZU8f4CApslB8MkBm08+0dq1evPNrEcDFFkOlvSjo2pp0fPPa9MmTZ+u4WFFkco5+EsEFE5uuhocVLWqO+/MehxAkWUdfByrWpWkU6cUBJyxA5oqB8GXyxoe1i+/SNLNN2c8HqDQchC8pIEBDQ9L0pw52Q4HKLZ8BD80lAbPDA80Uz6CP3lSZ8+qXtfs2RLX8ECzZB18olxWtapZs3TFFVkPBSiyHNyHl3T+vE6fVqmk669negeaJwfBx3G6Vw+gyXIQPICJkunz8MlrbX7+WR99pHpd992Xvs0OQHNkGnwUqVLRiRN6/HGVSjp6VG1tHKQHmicHaZ05ozhWa6umTMl6KEDBZRp8siF/8qQkzZmjqVPHfwigCTINvlxWHOuHHxTHuuGGNHgATZNd8MndgQsX9NNPkjR7NsEDzZb1Nfzvv48HX6nwOnqgqbIO/rffdOKEJLW3S3yfHNBcWQc/Oqpz59TSomuvzXgkgIHs7sMnS/eZM7VvnwYHNW+eJFUqmY0HMMDRWsBI1kv6RBjyOnpgAmQafBzr++81NKRKhc15YAJkHfzKlbrtNr30kiSNjmY5GMBApsFHkb75RmfOqLU1y2EANrKe4UdGVKvpxhslTtEDTZf1wzNRpLa29NQNT8UCTZZ18HGstjbNmpX+E0Az5WBSTYLnFD3QfFnP8C0tuuYaVasKAoIHmi3rXfrRUc2YIYmDN8AEyPSddqWSXnhBHR0Sp+iBicBZesBI1pt2QcBiHpgwzPCAkaxneAATiOABIwQPGCF4wAjBA0YIHjBC8IARggeMEPy/4iASCozgx8WxokilUvqFV5SP4iH4VBQpilQuq69Pjz2mo0fT9/EARZLp47G5kaQu6Z13tG6dBgY0NKQPP+QLrFE0zPBp7b/+qqeeUne3BgZUq+nQIfX0SCzsUSzWM3wcK45VLuvbb7V6tY4cSb+ivtHQsmXq6pJ4syaKxXeGD0OVSiqXtXu37r1XR46oXk+36557Tu+9p9tvZ3pH0ZjO8EGgalVnz2rjRr38siTV67pwQe3teuUVrVghXXJhDxSG3Qsw4lhhqGpVx4/r2Wd18KDK5fRW3JIl2rpV8+eTOgrL63OdvPy+WtX776uzUwcPqlZTFCkMtWaN9u2jdhSc0ZI+KbnR0Pr12rJF58+rpUWjo7ruOvX06JFHJCkMeX0uisxiSZ/8F0sl9ffriSd06ND4Mr6jQ2+8oXnzxvfwgAIr/gc8KblU0scfa9EiHTqULuNLJa1apcOHNW9eOvlTOwqv4J/xRkOVikZGtGGDli3TwIBaWtRoaNYs7dihHTs0ZUp6K5777XBQ5CV9ckF+4oSeeUb796dzeBCoo0O9vVq4kP052Cnm5z35I1ap6MABPfCA9u9Pl/FBoFWr9MEHWrhQjQa1w04Bd+nH5u0NG7R5s86dU62mRkNTp2rrVnV3p99VW6tlPVBgwhVqSZ880F6paGBAq1dr715JqlQUhpo/X2+/rQULJI7QwVhxPvhRpDhWpaLDh3X33dq7V9Vqeu+tu1uffaYFC8aflgE8FeSzPzZpb9qkri59951aWhQEuvpqvf66du3S9OnprTh24+GsCEv65MDs4KDWrNGePdLFZfwdd+jVV7V4MakDqck9wydL9FJJn36qpUu1Z0+6FReGevRRHTigxYsVBNQOpCZx8MkRuijSli3q7NTx46rX1WhoyhT19uqttzRzZvpgHLUDiUm5pB97xHVoSOvWadcuSemTMHPnautW3XOPxG488G8mX/BjO+2ff66nn1Zfn6pVhaHiWMuXq6dH7e2kDvxnkyyLZPutXNa2berqUl+fajUFgep1bdyod9+lduB/mTQz/NjEfvq01q7Vzp2S0iN0t96q117T0qWKIknUDvxXkyP4sUn766+1cqWOHUuPx0rq6tK2bWpvVxjy0BvwJybBbJhM7GGonTt11106dixdxre2av167d2bLuMrFWoH/kTeZ/hkJd/fr95ebd8uXbKM37xZnZ3p75A68FfkfYZPFupffKHt21WppC+lu/9+7d+vzs70NfLUDvxFeQ8+OST78MNavlxhqCjSiy9q927dcouCgBdOAv+fvC/pdXHH7tQprVihJ5/UQw9JvF4W+FsmQfC6eJU+tlfPRTvw90yO4EXkwOWQ92v4MdQO/HOTJngA/xzBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyB3A8s3nxgE+WAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "action": "('move', [-2.4349488435829065, 4.133846765478759, 44.83539078011131])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8cceb7a9dbc596b40566f00c16a2eb6e30a45d531091d0d913487b3f413e60e4"} +{"episode": 14478, "episode_seed": 2492055053, "split": "train", "timestamp": "2025-09-15T22:56:07.922138", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2492055053, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "action": "('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "action": "('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "action": "('move', [23.313330771689554, -40.79323004597726, 29.309741066421264])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2435e5352b06f9e49c0639935c85a3088917be63fb2b7ed279e01c297591bcdf"} +{"episode": 14479, "episode_seed": 3252737602, "split": "train", "timestamp": "2025-09-15T22:56:08.899409", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3252737602, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "action": "('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI+0lEQVR4nO3dTYhV9R/H8e+9MyPqOBIR0QNkhptWlqt25cY2GWEtglaJCyuoICpXEgQhYavCDIpKohY9CJELQQx30aIH2kSLSKiFRD43jnpn5r849z/OTOZf/c/cOzOf14uD/O694JxZvOf8zsM9pzU5OVlAhna/VwDoHcFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHDv5ic7PcazD3Bw79otWpiot8rMccEDzN1OrVzZ+3ZU+Pj1W5Xp9PvFZpLg/1eAVgwJier1aoDB+rVV6uqfvqpdu6sW2+tTqcGl0gptvAw080316ZNVVV799ajj9aRIzU4WBMTS2OXvjW5JH4NmEsnT9auXfXGG9Xp1E031Y4d9cILVf+dAixmgoeZxsdrYKCq6ssv67nn6rffqqoee6x27641a2piotqLeF68iFcd5sXAQHcC//DDdeRIbd5cVfXZZ3XwYFXVxESNj9f4eH/X8brZwsPlNF00E/gdO+rPP+udd2pw8NIBvMV5JE/wcEXNfnszk2/Gn39ea9fWhg3V6dTAwOLaqzelhytqtWp8vNt8q1WHD9cTT9SWLfXJJzU4WK3W4jp6L3j4X5pjeM2W/MyZGhioo0dr69Z69tkaHe02v0iyN6WHq9bE8v339dRT9e23VVX33Vd799b69f1dr6tnCw9XrdnIb9hQhw7VM8/UsmX1zTe1cWO9/36dPLkoLs4RPFyLZgI/MlJvvVXvvltr19aJE7V1a+3f373wfmE3b0oP16W5PufHH+vFF+vYsdq/v+68s6oW+GU5gofr1ZyKP368jh+vdeu6J+2OHq077uhOBBbeGbsF/dcIFrTBwRofrxtvrHXruqfufv+9Nm2qzZvrjz+6Z/IW2DfqBQ//h4GBmpy8dLju44/rl1/qwIG6//766qtqt6vdXlDX4ZrSw9yZmKjdu+v11+uvv2pwsF56qV5+uVavvvSFnH4TPMydZr/9669rx47uifoHH6xdu+qeexbILr0pPcypTqc2bqwvvqht26qqDh6szZvr00+7H/V7+yp4mDutVvcbdbffXm+/XR98UCMjdepUrVnT3bz3+zpcU3qYB1P3yfjhh/r119qypfvOuXO1YkVV9WuvXvAwP6bvtDeVjY3V9u21YUM9/XQNDfXlG/Wm9DA/mtqbCXynU61W7dlT+/bV88/Xtm119Gj3NH5vCR7mU6tVrVb3dP3GjfXII1VV+/bVQw/VwYPdWX0PZ9mm9NBDZ8/Wm2/WK6/UhQu1cmW99149/ngvf77goVemjuQdOlTbt9fff9fhw3X33b08RS946KFml77drp9/rnPn6t57e/zzBQ8917+r7hy0g57r3xfpbOEhiC08BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BOn1LbVg6tsbzWDqZbu9EG7cvsQJnjkwK93pL2d9VNV9/pK8+0LwXN70RC87nhq0Wt16ryngsbEaHZ2x3HVX3XLLAnlAy5IleC5venVXU+CZM3X2bJ092x1MvZz1zuhonT9fY2OX/r1wocbG6ty5eu21evLJ6nRqaGj+fq10gucyxsbq9Ok6c6ZOn760nDo1+53mzfPnq9Opixer0+ku08edztXe6OHYsaqe3sE1keBDNQ8+OXSoPvywJifrxIluvU3GFy9278jS3IJtajBPT0kaGKiJibpwYe7/Z2YRfKgm+O++q48+qnZ7xka42RufeozCddyIqdWqZctq2bIaGuoO/rkMD9fISI2M1OrVtXp1DQ3VAw9U1QJ5qvKSJfhQTc/Dw1U1O+l/bsZbrVqxYvaycmWtWFHLl18aDA/XqlW1cmV3MDw8Y5l658pHBAQ/rwQfqqnutttq/fq64YYZQa5a1V2Gh7slL19+pcE1aR671PxNmXqeaqM5V8e8chPLaKOjdfLkpbn30NA1P92wmfM3O/mNWRlPfznrI3pP8Mw2/UBd/SPdKw9Y4AQfbfrUejoBL1WChyAOkkAQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wBixV+BpES4hwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "action": "('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI+0lEQVR4nO3dTYhV9R/H8e+9MyPqOBIR0QNkhptWlqt25cY2GWEtglaJCyuoICpXEgQhYavCDIpKohY9CJELQQx30aIH2kSLSKiFRD43jnpn5r849z/OTOZf/c/cOzOf14uD/O694JxZvOf8zsM9pzU5OVlAhna/VwDoHcFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHDv5ic7PcazD3Bw79otWpiot8rMccEDzN1OrVzZ+3ZU+Pj1W5Xp9PvFZpLg/1eAVgwJier1aoDB+rVV6uqfvqpdu6sW2+tTqcGl0gptvAw080316ZNVVV799ajj9aRIzU4WBMTS2OXvjW5JH4NmEsnT9auXfXGG9Xp1E031Y4d9cILVf+dAixmgoeZxsdrYKCq6ssv67nn6rffqqoee6x27641a2piotqLeF68iFcd5sXAQHcC//DDdeRIbd5cVfXZZ3XwYFXVxESNj9f4eH/X8brZwsPlNF00E/gdO+rPP+udd2pw8NIBvMV5JE/wcEXNfnszk2/Gn39ea9fWhg3V6dTAwOLaqzelhytqtWp8vNt8q1WHD9cTT9SWLfXJJzU4WK3W4jp6L3j4X5pjeM2W/MyZGhioo0dr69Z69tkaHe02v0iyN6WHq9bE8v339dRT9e23VVX33Vd799b69f1dr6tnCw9XrdnIb9hQhw7VM8/UsmX1zTe1cWO9/36dPLkoLs4RPFyLZgI/MlJvvVXvvltr19aJE7V1a+3f373wfmE3b0oP16W5PufHH+vFF+vYsdq/v+68s6oW+GU5gofr1ZyKP368jh+vdeu6J+2OHq077uhOBBbeGbsF/dcIFrTBwRofrxtvrHXruqfufv+9Nm2qzZvrjz+6Z/IW2DfqBQ//h4GBmpy8dLju44/rl1/qwIG6//766qtqt6vdXlDX4ZrSw9yZmKjdu+v11+uvv2pwsF56qV5+uVavvvSFnH4TPMydZr/9669rx47uifoHH6xdu+qeexbILr0pPcypTqc2bqwvvqht26qqDh6szZvr00+7H/V7+yp4mDutVvcbdbffXm+/XR98UCMjdepUrVnT3bz3+zpcU3qYB1P3yfjhh/r119qypfvOuXO1YkVV9WuvXvAwP6bvtDeVjY3V9u21YUM9/XQNDfXlG/Wm9DA/mtqbCXynU61W7dlT+/bV88/Xtm119Gj3NH5vCR7mU6tVrVb3dP3GjfXII1VV+/bVQw/VwYPdWX0PZ9mm9NBDZ8/Wm2/WK6/UhQu1cmW99149/ngvf77goVemjuQdOlTbt9fff9fhw3X33b08RS946KFml77drp9/rnPn6t57e/zzBQ8917+r7hy0g57r3xfpbOEhiC08BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BOn1LbVg6tsbzWDqZbu9EG7cvsQJnjkwK93pL2d9VNV9/pK8+0LwXN70RC87nhq0Wt16ryngsbEaHZ2x3HVX3XLLAnlAy5IleC5venVXU+CZM3X2bJ092x1MvZz1zuhonT9fY2OX/r1wocbG6ty5eu21evLJ6nRqaGj+fq10gucyxsbq9Ok6c6ZOn760nDo1+53mzfPnq9Opixer0+ku08edztXe6OHYsaqe3sE1keBDNQ8+OXSoPvywJifrxIluvU3GFy9278jS3IJtajBPT0kaGKiJibpwYe7/Z2YRfKgm+O++q48+qnZ7xka42RufeozCddyIqdWqZctq2bIaGuoO/rkMD9fISI2M1OrVtXp1DQ3VAw9U1QJ5qvKSJfhQTc/Dw1U1O+l/bsZbrVqxYvaycmWtWFHLl18aDA/XqlW1cmV3MDw8Y5l658pHBAQ/rwQfqqnutttq/fq64YYZQa5a1V2Gh7slL19+pcE1aR671PxNmXqeaqM5V8e8chPLaKOjdfLkpbn30NA1P92wmfM3O/mNWRlPfznrI3pP8Mw2/UBd/SPdKw9Y4AQfbfrUejoBL1WChyAOkkAQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wBixV+BpES4hwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "action": "('move', [4.988649357078178, 1.980133469503181, -19.786688284782922])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIlUlEQVR4nO3cXahldRnH8WetfWbPwAiiXSlaiJdpmC90o2bpDJJiYgkFkZWvmI2gldqUSdiYGpmaYYYizU35gqCmgphTUZo2JNGgkKOIOHohiaMIztl7/bs4p6NeiCnjOWfm9/lc74t1893/tZ717N211grI0C/1BQCLR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPDwDsNQrS31RXxoBA9vaa36vrput21e8PCWrqvHH6833thtmxc8VNV83lu31kkn1XHH1ZNPVtdVVQ3D0l7XTiZ4qNaqtXrllfra1+qll+qRR+roo9tvbm3DtPq+JpOlvr6dR/BQw1BdV1u21AsvVFWtXFkvv9yd9vW2bt3w4os1M7P7NC94qNGoqurII+uOO2rNmvbmm0Pf12jU3/DL7gun1B8fbjMzu8n0XvBQVdV1NQx16KF1++3dJRfXMAzTaY3H3SOP1hdPbT//2XRuer+rP9J3bTf41oKdZDqdP+3vubt9a10991w3XlE7ZquqnXpqXXttt88+8+f83EhvlyN4eIe5M7zv6/nn65vnTO+5r6/q5h7jDzywbryxjjuu6m1fDbsWt/TwDn1ffV/DUPvvX3f/fnT5j9pee9VkUuNxbd1aa9fWhg312ms1GtXs7FJf6/vnhId31Vp1XT34YF1ySdu8uZuZqem0WqsTTxyu2NAddHA3nc5v5u0qnPDwrrquJpNas6buuqs77bSaTKq1WrGi7r23O/nk4Xe/baPRLraT54SH9zA7WytW1Oxs3XprXXjB8Nrr/XhcO3bUqlV15hnDVVf3q1ZV/e92YJkTPLy3Yai+r6p64ok68xvTv/9jNNd2a/WpI6a/vnl08MHv+NiytbyvDpaHvp9fvz3kkNr059G557bxitZajVfW3x4fHXXUcMstNZnsAnu4gof/S9fNP66vXl033NDdfHMd8LHpjjdrPK5XX+1PP72dfXbbtm257+G6pYf3p7WaTmtmpv75RLtkfd13X/V913U1ndYRR9QVV9Sxxy7f53nBwwcxN8nbvr2uuaZddllVdXOTvL33bt+5sF38vb6W5SO94OEDWli2u//+Ou+8euaZ+WF+VTvl5OHa60f77ffW3t4yIXj44Bb26rdtq3Xr6s47W1U3l/0BB7RfXN8+d0Jfy2kPd9l888AuaGGSt+++dccdddVPho/sPczO1nhczz7bnXBi++Glw/btNRotl0meEx52grmXdn1fmx5uF11cjz3WZmb6YahhGI4/vrtiQx3yyW45nPNOeNgJum7+Jfwxn+nuuqs768w2mbRhqPG4f+CB7vMn18aN87Uv7S/qnfCwM00m86/iN25s376w+88rNTe9H4/rjDPqyitrjz3m/1FrSd7bCR52soW3cVv+VWedOfz10X5hD/eww+qmX7VDD+tqiSZ5bulhJ1t4Cffxg+qhTf3559fKldVajce1eXMd8+l20001mSzNJM8JDx+WhX27226r9evb00/PL+dU1Ve/Mlz+427/jy72JE/w8CFqrYahRqN66qm66Lvt7nu6rps729snDh6u/mm/du2iPsoLHj50c5O8119v113X/eD7w9D6FeOa3dH23LO74IJav37xDnnBw2JYuHX/w0PtnLOGfz8zWjFTs5Navbo2barDD1+kxXtDO1gMo9H8cs5nj+3+9JfRl7/UZidVVZdeWocfPr+0swic8LCoFk7yq6+uLVvqllsW9ac1gofF9vaf0C3yT2gFD0tgbnq/+H9xLXhYMov/xziGdrBkFn+dXvAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5L9pOhTBv3ykDQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8c0ae6bbe0f37d82c0cbcfa7d757a43c92eedb73e2873efbfd4f3ee259125bd1"} +{"episode": 14480, "episode_seed": 301528522, "split": "train", "timestamp": "2025-09-15T22:56:09.535281", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 301528522, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "action": "('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "action": "('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "action": "('move', [-7.824828578114464, -7.908286286022167, -11.806484923854308])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALlUlEQVR4nO3dW6gVZQPG8Wdm1vrQRFMTS9xmCkaieMoCT9jW0sgiwVDLoAgkqJusC7UDpV5EYtGmm6jLUKigQlS2YciWPKTloQylk6WGFlvzsHXrXmvNfBcz1M139bndM83z/13J9uaFtf7rfdc776wJkiQRAA9h3gMA0HMIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOBLq15Xo5H3IFAwlbwHgO6XJGo0VKlk/w6CvAeEwmCGL6EgUKWi1lbt2KEgYJ7HPwi+VJJEkk6e1HPPafFivfiizpxREGR/Bwi+VNLJfO1atbTowgXt2aMPPlAYKo7zHhmKIUj48C+R9Bv7kSOaMUPnz6vRUFOTtm3TqFFKEoV8vNvjLVAq6ep99GitXKl6XVGkEye0dq0kaofEDF8+6STf2anp07V/v6JIcawvvlBzMzv2YIYvnXSS791br7+uMMy26154QV1d7N6B4EsqjjV7tp58UnGsSkUHDqilJfs7nLGkL6dGQ1Gkw4c1b56OH1cY6uab1damUaOy/4InZvhyiiLVaho7Vs8+q0pFUaRTp7R6tWo1xTELe18EX1pRpEZDS5fqzjtVqymKtHGjWltVrXL2zhfBl1Z6HW7AAK1apWpVki5c0BtvqL1dUcQkb4rgyyy9Jjd3rhYtUqOhalU7d2r9ei7O+WLTzsKJExo/XufPK0k0YID27tXIkZIo3w4zfPkliYYN05o1imNFkc6e1WuvkbopZvjySw/YXbyo++/Xrl3ZZl5rq+bOVRxz5NYLr3b5pbfE9+2rV19V377ZH1esUEcHZ+/sELyFMFS9rnvu0cKF2Y/hHDqklhYFger1vAeHHsSS3kW6ej96VA88oF9/laShQ7V5s8aN4+ydEWZ4F2GoWk133KFnnlGSqFLRyZNat061mpKEM/YumOG9JIm6ujRjhvbtUxiqWtXHH+uhh9i9c0HwXtId+7Y2NTcrDNVoaNIkbd+ufv24W94Cn+pe0m35mTP11FPZ7t3+/Xr//byHhZ7CDG8nfcGPH9fUqTp1SkGgPn106JBGjGCSLz9meDvpJD98uF55RZKiSBcvavlyiZ/HMEDwjoJAcayFC9XcnN05+9ln+vTT7BAeSozgHaXBDxyoFSvUv7+CQLWaVq9We7skzt6VGcGbqlRUr2vWLC1YoHpdlYoOH9a772aTPM2XFZt2vtJr7ydOaMoUnTqlONYtt6i1VePHc/autJjhfaWPoBo2TMuXK45Vrer0ab35phqNf37fGiXDDA/FsaZN05492Xp+0ybNm8fZu3IieHfptfedOzVrluJYjYbGjtWuXerTh2vyJcRnuLv0svzUqVq6NHsc3Xff6e23uVW+nJjhoThWEOjYMc2dq59/VhCoXz/t2qXRo1nYlw0vJrK7aEaO1PPPS1IU6dw5rVzJbbMlRPA5SZJCHWpLd+wff1yzZ6tWUxjq88/14YeqVAo1TFwrlvR5+HuhXKS7VdLjN9u368EH1dWlel0TJmjrVg0apCThsnxJMMP3uCRRGKqzU3v3FmpnrFJRHKu5WUuWZLt3Bw/qvfcUhsX5UMK1YobvWekRtq1btWKFrl7Vtm0aMkQqyhMhkkRJovZ2TZig06cVhrrxRu3YoTFj2L0rCV7DnpWGfdNNOnxYR45o48bsR6SLIQgUBBo8WKtWZcv4s2f18svq7OTsXUkQfM9KN8cmT9b06QpDbdlStH3w9EvGE09o9mx1dUnSjz/q3LmcR4XuQvA5WbBAcawDB/T99wXcCv/Pf7RmjcaP10sv6auvNGRIobYX8f/jO3xOfv9dt9+uy5f11ltatky1WvZI58K4ckXt7Wpqkop1MQHXhBk+J0OH6t57FQT68kt1dhbwie29eqmpSfU6tZcKwech3Q1/9FElidradPBg9t2+SNJjdpUKtZcKweckCDRtmgYO1KVL+umnvEfzPwQB1+FKiO/weUhXyVeuaP169eunefN0ww0sndEDCL4YONeCHsGbLFf1enZBjtrRI3if5SqKFIY6cEDr1mXHXIDriSV9ftLb0zZu1JIl6ujQN99o4kSpKOfqUUrM8PlJT7FOmqQRIyRpwwZSx/VG8PmJItXramrSlCmStGmTrl7Ne0woOYLPVTrJp5flfvlFbW3ZU6CA64Pgc1WpKEk0Z46GD1etpo8+klS0G2lQJgSftyRRr16aM0dBoH379NdfqlaZ5HGdEHze0lX9Y49J0rffMsnjuqrkPQB76ZGbu+/WpEnq6lLv3hJX5nC9cB2+MA4eVP/+uu22vMeBMiP4guFQPa4n3luF8feh+kajaD+GgdIg+GJIfyP2wgW1tOiRR3TsWPZHoFuxaVcMcawo0pEjWrZMSaLFizVyZN5jQgkxwxdD+r193DgtXKgw1CefqF5nrx7djuCLIQhUr6t3b02frjjW5s364w+JVT26GcEXzLRpuvVWXbqkLVvyHgpKiOALI4rUaGjiRN11lyRt2JD3gFBCBF8Yfz9kbuZMVav6+mv99luhHi+LEiD4IqlUJGn+fA0apI4OvfOOJG6kQTfislyRpKduhg3T/Pnq6tL8+RLn6tGdOFpbMOnL0dGhXr2y+2Q5aYvuQ/CAEWaPQko/hS9f1g8/6NKlvEeD8iD44kmfOdXerkWLdN992rFDSaJaLe9hoQwIvnjSXbo41u7dOn5cu3crCAr4PGn8GxF8UQ0erKefVhhq2zb9+afCkOBx7Qi+kNJr73PmSNK+fTp6VOJcPboBwRfY6NGaPFn1utavV6OhKMp7QPjX4+BNIaUnagcP1sMP6+zZ7Ffr06/xnMPBNeA6fFGlR25On9aZMxozRhK149oR/L8B63l0E5b0xRbH2c/dAd2BGR4wwi49YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gsTIS1MSK8KWQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b9ef4548ae6dbe031b62b1d56ca09818f10b4e6fca61289b8889d6843516cf02"} +{"episode": 14481, "episode_seed": 3565693201, "split": "train", "timestamp": "2025-09-15T22:56:10.165594", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3565693201, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "action": "('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "action": "('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJUlEQVR4nO3dTWwVVQPG8WdmblEqYBRBomCjkShWFiiJH3zIAjBISagBMW6MG0zUGKtxocSFHwlLjZEYiAs2RCOxCEJ0ARJpBYJgujBBrWLEBFChSiON2HvvuDgDvDbwtkXkcs/z/63grs6l/HtmzsycSfI8FwAPaa0HAODiIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEjOpWKyuVaD+ISVar1AIALqlJRlklStaqU+Wwg/kUQlyxTZ6fWrVOaqlqt9WguOczwiEWY0tvb9fjj6utTU5Nmzjwz4UMSMzzikSSS1NysNFVfn154QUePKsuY5/8XwSMWSaI81y23aPVqlUrq7NSrrxaf4xSCR0RC84sX6+mnJemtt7RmjfJceV7rkV0qCB7RyXO99JKmT1e1qhMnlOdM8qclOb/8EJlQeFeXvvlGy5ad+QQEjzidtXCy57Ic4hRO5sOFunJZW7dK0oIFXKXjHB6RShKlqZJEa9bogQf03HM6dIirdASP2DU16YortH+/2trU16dq1XnRnuARr3Bg39KiFSsk6YMPtHatSiVJts2zaIeohYvw5bKWLdOHH+rKK/Xpp7rjDtsFPIJH7MJC3f79WrRI33+vO+9UR4dGjqz1sGqDQ3rELstULmvKFK1cqcsu0759Wr5c/f2eR/UEDwOlkioVLV2qJ56QpD/+UH9/cYZvhkN6eAgn87//rvZ2PfKIGhuL2s3O5AkeMMIhPZzkebHjXbWqnTv17rtuz9Jxay2chAP4UkkdHWppUW+vrrlG8+b5XKVjhsdA4bp1tMvYYa1uwgRNnChJTz6pQ4dqPaaLh+DxD2GqK5XU0BDpnBc2t5w8WatW6eqr1d2ttjYlick99gSPM0Lthw9r1So99pi6uiTFGEK4Mj9njtralKZav15vvFE8Vxc7VulRCDek7dih5cvV3a1qVa+9phUr9NdfGjGi1oO74MLqXbWqxYv18ccaO1YbNmjWrOifn2WGRyFNledqblZ/f/Eg+a5dKpdVKsV4Mp8kyjKNGKHVq3XDDTp2TM88Uzw/W6nUenD/IYJHIUlUqWjsWM2eLUnVqvbt05dfKk0jTSCs3k2apDffVJqqt1c//RTj77Z/IHicEV7N9OCDxYrdkSPas0eK+260PNeiRXrnHX3yie66K/rrc5zDY6C+Pt18s44ckaQlS7R2bXEfarQhnP5uBq+ji/zrYbjyXI2Nmj+/uANt2zb98EPxebSSROWyKhUliXp6tHKl/vyz1mP6rxA8BspzPfywJDU0qKdHe/fWekAXQZoqy3T0qObP14sv6uWXJam/v9bDuvAIHgMlie6+W+PHF5elN23SyZOxH+qGBbxx43TrrZL09tvavFkNDfEtV8b9Y8SwhZPZ0aPV2ipJWaatW/Xrr1L0R/WS8lyvv67bb9fx43r2WR08GN9VOoLHQHmuLNPChcUfenu1Y4cU91q9Tn29ceO0apUaG9XdreefV19fZPtkEDwGCv+9p05VU1OxMcx779V6TBdHuKN+9uziHL69XWvXRnYyE9WXwQURprpJk3T//UX827fr2LHaDupiCc0/9ZSWLFG5rLY2ff55TJM8wWOgcJUqy3TffcW7W/r6tHFj8e6myIW2L79cr7yipiaNHKkDB4rPo8CNNziL8AjJt9+qpUXd3ZLU0qKPPor+0ZJTwh04W7ZoxAjNm1fr0VxIBI+zOD2ZP/qo1q2TpIkTtWePJkxQnkd2VnsOkd5+F883wQUUzmSzTDNmFK9m+vlnbdlSPGBjIXzVSiWm2kXwOJdw6D53brETVH+/tm2r7YguuiyL7wSG4HF2YQOYyZPV3Fx80tWlAwfU0GCwdBcvgscgFiwojuq/+06dnZJsjupjRPA4p3A829qqMWOKa3U7d9os1EeK4HFO4Zr0ddcVr1eWtGOHDh6Mdw8cAwSPQeS5li6VpFJJX3+tr76q9YDwLxA8/p8kUZKopUUNDcWWGFu3FlfsUI8IHoO79lrNnVtsCbNxo44eleJ+WjZeBI/BZZmWLJGkhgb9+CNH9XWM4DGIMJPPmKHRo1UuK0nU3i7F8ziJF4LHkFx/vebMKW652bBBJ0/WekA4LwSPQYSbykeN0oIFkpRlOnRIHR1uL1aPBMFjqKZP11VXFTtbvv++zwtXo0LwGFy4A2fKFM2YUZy6b98e33ZvFggegwsP0owapXvuKQo/fFiffVa8ah11hOAxJGEynz1b48dL0okT2rRJivLt8VEjeAxJlinPde+9mjKl+OSLL3T8OE/L1hmCx5CEtfo01cyZxR4w3d3FWj0P0tQRgsdQnX5advRoSertVUeHkiSyPaAix88KQxWW6KZN0403Fp/s2qWenuJoH3WB4DEMYcvahQslKUm0Z4+6uiT2wKkfBI9hCEfvS5cqTZWmOnlSu3dL4mnZukHwGIZw183UqbrttmJW37xZv/3GHTh1g+AxbGmqhx5SkqhU0u7dxbuYCL4uEDyGJ4QdXiYd/hr2q2etvi7wU8L5uOkmTZtW7IGzfj2LdnWD4DE84XR9zBi1thZPyO7dW+yBw1H9pa9U6wGg/oRNLGfOVJZpzBhNmqSenlqPCUPD22MxbOHFqr/8ovZ2NTdr1qxaDwhDRvD4t6rVYjdrXPo4pMd5Co/NhDtwUC+Y4QEj/HIGjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5G3mmy0Vng4tyAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "action": "('move', [21.21752913434773, 8.23003329738682, 17.898775717125506])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "928fdb4fdefa855e4dac89dc2a293cf7414aea9dbe8131b50cbd356a97da9b77"} +{"episode": 14482, "episode_seed": 4257183028, "split": "train", "timestamp": "2025-09-15T22:56:10.789053", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4257183028, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "action": "('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "action": "('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "action": "('move', [0.8345261200770845, -18.555630974337458, -50.310481843113514])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "af7dd774d70e14e6e8ea117a04b45c53f83c8f1e8347e9077f8fef68de216f1a"} +{"episode": 14483, "episode_seed": 837475020, "split": "train", "timestamp": "2025-09-15T22:56:11.775429", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 837475020, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "action": "('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "action": "('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "action": "('move', [24.426474919253646, 23.956823602202732, 51.10022944187508])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIv0lEQVR4nO3dT6ildR3H8e9zzr2iKIKLMZxCxxhxCEmEojbCTCojKf5ZmM2MJBSmG400zRYzw5DaIsxq78KVKQOlE4piioiImmWUOhHqiE4wwYiKgt17n+fX4gwKomnjtXvO/bxe27t5Fr/3+f6ev7drrRWQYbTSBwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggh+dWptpY+AqST4VWhSe9+v9HEwfQS/CnVdDUONx+Y8HyT4VWVS+Guv1Zln1u23V9et9AExZQS/erRWfV+t1Y+uHZ54oq68srZurYMHq6qGYaUPjukg+NWj72turu64o/32d6PxuPq+Xnih3nnHxp73dc1yWBX6vsbjemVfO+vs9tJLo/G4HTFf99xTZ5/TLS3V3NxKHx/TwYRfDVqrrqt3362dO9uLL3ajUS0tdd+/ss4+pxsGtfM+E341GIYajWr37nbZZdVat7BQX9owPPHk6JhjqutcuuN9gp95k/H+z/3t61/rX90/Nx5XPwwP/6HbtKmb/AneY0s/8ya/2D+5sV7dPzc/X33fbrh+tGlTNwxq54NM+Nk22czffXddemkbj7u+ry+f1j/08GjNGuOdDyH4GTYM1Vrt318bN9bL+2puXEcf3X5zV3fu5kM/BPABFsWsmgzw8bh27ap9+2puXEtL9Z3vdGd9oxYXzXY+nAk/qyZ31++6qy67rKqq7+u00+rRR+u444x3PpJ1MZOGocZz9cq+uumnbWmpqmp+vm65pY47rvpe7XwkS2NWtaFuvnn423M1P19LS+2KK+r88w+9JAcfxZZ+9kzO3u+9ty68cBiPR31fp57annyyO/bYqnL2zn8j+Bkzqf3gwfrqV9q+V7quqzb0990/Pvfcch+Oj2VLP2MmL7recN3w8r6an69haNdc3W3eXMNQYudjmfCzZPJK3O7dtW1b9X31fZ1+evv9nu7zX6jWXKvj4wl+ZkxqP3CgNm0c9v69m5vrxqPhzjvrootHi4s1P7/Sx8csMBRmQ2vVWi0s1M6d7YW9o9GoW1ysyy+viy4eDYPa+aRM+NkweZZmz57aurUWFmphodavb4891q1ZU6ORa3V8UoKfAZPL7wcO1MaNtXdvTT5ftWfPoRvvTt355CyWGTD5Tb7pptq7t+bnq+/rqqvUzuEw4afdZLzff1/75nltNBoNQ61fX48/Xscf78Y7/zOfO5tqrdUw1Ouv1w+uaVWj8biOPLLdemsdf3xnvHMYLJmpNnk2fueO9o8XR3PjWlxs27a0zZu7vjfbORy29NNrcnd9z73DJZd0/dD1fW3Y0B56qNauNd45TFbNlJp8Xnr//tq1q/v3wqGvTW/fXmvXdktLaucwWTjTaPKYTWt168/bM39qRxxRw9C2fKvfssV/leBTsaWfRpPL7w8+0M47r4bWtVYnntieeqpzZZ5PyYSfOpNf4Lfeqh9e2y31XddVa8Ntv3AfjmUg+GnUdbV9ez3//KHHbL733e6ii312mmVgSz9dJpffH3igLrjg0AuwGzbUfffXupO8AMsysIKmyOR/xbz5Zrv+umFhobpRzc3Vjh118jqfpmR5WETTorXq+xqG2rG9/fW5bm6ulhZr27bassWnKVk2tvTTYrKZf/CBdum36+23u6Wltu7E9vAj3UnruirjneVhHU2Fyfn5vw60G388vPHG5EJ9d8vP6uQvqp3lZClNi2GoX/6q+/NfRvPzXd/X1i1ty9aRU3eWly39ypvcb3v22TrjjKqqrqsTPtf/8ZnRCWvdimOZGR8rb5L0KafUrl21Zk21Vrf9eqx2Pgsm/FR4r+1HHqmnn66rr66jjvJcHctP8FPkvRdjpM5nRPDTpe+rNe/D8VkRPARx0Q6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/Ac+A0NJ5+/eMgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e2d6e03f9e64249e602fe263e67bce9835e4faa4800ad03a21e689a4f59865bf"} +{"episode": 14484, "episode_seed": 468776516, "split": "train", "timestamp": "2025-09-15T22:56:12.400202", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 468776516, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "action": "('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "action": "('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "action": "('move', [-2.1502335882398556, -1.077580018573814, -24.809819476192416])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKnklEQVR4nO3dX2iV9QPH8c/5s01bNs0cTeZqrc3JGvmniVCJIYPCIAnqogLpJtRIiOpiRFeFUBcJXgTRRVHRRWZWdBEEXoRB022iG05nK1crwraZoNtxnZ2ni+fhnM2f9iN3tnPOPu8XXsjZOe4Mz/v5fp/v82exIAgEwEO80G8AwPwheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wkiz0G8CNCILoL7FYQd8HSg3Bl6TpnU9NRY+Ef4B/EQuygwWKWBAoFtPkpD75RBMT2rxZy5bpllt0880znpZOKwgUjysWU5zdNfwPgi8NmYzicQ0P69FHdeKEJNXUaN06rV2r1lbV1ammRitXqqIi95J0OnpV2D+DP0TwpSKdVjKpI0f0yCOanFQ8rlQq99XycjU3a/VqNTXp7rvV2KjGRlVX556QySiTibJn5HfGPnwpSadVUaFLl3KPJBKKxzU5qZMndfJk9ODtt6u2VrW1amqKpgD33HPtzln8c8MIX0quXNEff2hsTL296urSsWM6cUITE//2ksWLVVWlpUvV1KS2Nm3YoPvu04oV13hmJhOtFDD/X8AIvoRNTmp8XP396uzUsWPq7tboqMbHNT5+3Zckkyov1513auNGtbWprU11daqsVGXljMgzGU1NRfN/+l9ICL7EZDKSrhvh8LC6u3X8uI4f1/Cwzp/X+fOanMw9IZzYh/9IaMkSbdigdeu0fr0aGlRdrepqLVky4zum07mVf+IvaQRf8sL/wOxsPCuV0qlT6u/XqVMaHNRPP+nnnzUykntCIqFEIlrMz2psVHOzWlrU2KiGBtXXq65uxrf7+++ofBb/ShHBLyhBEO2KB4HKymZ86bffNDSkX37RwID6+tTXp/7+3FfjcSWTmpqKTuMJ3Xqr6up0xx266y61tqqlRa2tWrx4nn4WzAWCX7Cy8WcySiZnDMjj4xod1ciIBgfV1aWeHnV16cKFGS+PxTT9o1FWpuXLtXy5amu1dq02bdJDD6mqKppZoFQQfP4U8Wc/HPPD+MMjedOlUkqlNDSko0fV1aXOTg0NKZXSlSu63qejpkaHD6u5OTq3B6WC4PMk/OBPTSmRKPRb+f/C+HX9xb8LF3Ij/+CgRkc1OqrLl3NPqK/X2bNR6sW6lcM1EHw+hGN7WHuJNH+Vqz4FVzV8+rT6+tTbq4EB/fqrBge1aZMOHSrRn9Uawc9aOLZ/9ZXef19792rNmgXQQXYXILwUZ/qkfXRUZ8+qslKtrcW8E4NrI/jZCc9Q//13PfCAzp1TQ4P27tWTT0pFvUv/n2R3/sMtW5KzsUsZ6y2zE459K1bolVdUVaXBQe3YoY6OaH93QWxMw6Pu4Sl6yWR0Et70o3coIYzw+XP0qHbtUk+PJD38sA4d0qJFucUxoAgwwudJEGjjRn37rZ57TuXluvdelZXlZvXTz2UDCocRPn+yh6Q//1xbt6qqSpmMJidVXq54nAPWKAZ8BPMnHo9Wtx5/PKo9HteBA9qyRd3dUe1sXlFQjPD5FgTRlaWJhM6d04MPanhYt92m11/Xzp2SGOpRQHzy8i0WUzKpREJBoFWr9OabWrVKIyPavVvPPqvR0Wh6z3YWhcAIP5fCwfz0ab34or75RpLWr9e+fdq8WVo4B+pRQhjh51J4dn1zs774Qq++qvJy9fToscf01lvRXWnY2mJ+EfwcSySUyai8XG+8oU8/1Zo1+uuvaA0vO7yTPeYLU/p5kb0wdWBAH32kp5+++spSVvIwLwh+vmSvRAmFhR89qiNHtHu3Fi1SOq1Egr16zClGlfkSnpKevQFdPK6xMe3cqZde0jPPaGAgusUU21/MJYKfX9P329Np1ddL0sGD2rZNBw8qmVQsxnm4mDsEXwhh9tXV+uwz7d+vZcv044966il1dCiVyk0EgHxjH75wsr/trbNTzz+v7m5J2rpVb78d3VyCZTzkG8EXVHYl7+JFvfyyPvhA6bS2bdPHH0d3hA2CUr95DooKY0hBZVfyqqr03nt65x21tGjPHi1dGi3jh78pgo0y8oQRvmiEZ9pevqyKiug+UiMjOnNG99+fm/wDs8MIXzTC9fnKSiWTCgJNTOiFF7R9u959Nzotj00zZo3gi0k4vQ+H+j//1OHDGhnRrl3asUNjY1HzZI9ZIPgiE07dg0ArV+q779TeriDQhx9qyxb98AMTe8wSwRel8KL61av19dfq6NBNN6m3V+3t2r9fly5xOT1uGIt2RSx7wfyBA3rtNZ05I0l79mjfPoZ63BhG+CIWJj01pSee0Jdfavt2xWKqrZXEzjxuDCN8KUinlUzq4kV9/73a22fcABv4Lwi+RJT+76tDMSD40pE9YsfYjhtF8IARFu0AIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyD3aBwKvd1ZhsAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dff19e8d904f5a0c797762b154f7a501f6aa1625b023d67127b9fb1e81d13731"} +{"episode": 14485, "episode_seed": 1697389860, "split": "train", "timestamp": "2025-09-15T22:56:13.029465", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1697389860, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "action": "('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "action": "('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "action": "('move', [-62.73491343556196, 52.729318022978184, 56.60798378557043])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJEUlEQVR4nO3dSaxkVR3H8f+9t8oQiVMMxA0BURYSY1jQRCUIAooiRFHRqDGxe+MQQV04tIAkpEFcmejC6EJdasCViahIohhiGGJkcIo4IomBRhEbIv3q3uOi3nPVCDSN9er9Pp/l2/TdfPt/6pxzq7rWWgEZ+lU/APD/I3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIsvrgW1v1E0CM1QffdfXII/XYY1Xih2fZKoNvrTY26s4764wzas+emqbNPwLPklUG33V13XV16ql111317W+3b32rdd0KHwd2vpUFv5zkxx5bRx1V83n1XfeZT9ff/latGfLwbFlZ8F1XrdW559all7SNjdbP6r6/dp/55NivflcBdqyurW6eLv/l/fvbhRfWrbd2s1m1qV1/fb3tom5c1DBb1XPBjrXiz/DjWMcc0+39dHvOvE1TTa274nPd/v01zDb38IAjaMUL6GGocVFvvajfvbu1VrNZ3XPPtO+qcbGocfRhHo6wVS7pl5aT/P776+yz2u//2PV9Pf957brrunPOrXGsYVjt08GOsvotsuUu3XHH1b59rbXWdfWPh7vLLm8PP1x9b8jDkbT64Kuq72ua6t3v6d91cS0WNZ/Vrbd2X/lKOZaHI2v1S/ql5VP85c+167R68MEahprN6rbb6lWvqtaUD0fGtpjwtXUsf/wJde21NQw1DPX443XJJbWxYbsejpjtEnxVdV1NU118cV1wQR08WMNQN99cX/5SG4Yax1U/HOwI22VJv7RY1GxWv/hFnX9+PfBAtdZe/KL24590J5/cjaOrOPBMbaMJX1WzWS0Wdcop9dGPtHFsXdc9+FB/5ZXdwUV1duzhGdteE76qpmnztdmzzxx/dls/f07XpulrX2279wzL+Q8ctm0XfFVNU/V93XJLvfGN7fHHu3Gsk17ebvhBd+JLq7Xydg0ctu1Yz/JY/vTT69KPTuPY5vP63b3d56+eqpzPwTOyHSd8bR3LH3i0Tn/1dPcv+2GocZy++93uggs6x/Jw2LZp8FWb921++IN6y/nTVH1r9bKX1e231wtf6CoOHKbtuKT/r3Gsc99QH/pwN01tPq97763LL9/8O3AYtu+Er6ppqq6vP/+pLryw7rmn+r6e+9y6/vo67zwv0sHh2NYTvu9rsVEnnFB799Z8XsNQBw60Ky5v/3y4La/lAU/Ltg6+qubzmqZ673vroovaxkYNQ3f7HfXFL27evQeelm29pF9afo/tfffVaaeODz40zGb1ghe0732vdu3qlif2wFO0Brl0XXVdHX987bumX8a/f39dtrc99qg5D0/PGgRfWy/S7dnTveXN02JR83l3403917/hhyvg6VmDJf3S8uz9179qrzm9HfhXP031/KPHO37ev/wkV3HgqVqPCb80TfWKk7srr+jHsQ1D/fPA8PFP1DTZroenam2CX87waazdu9tZZ7TFos1ndcP3u29+s4ahFotVPx+sg7VZ0i8t79vc/JN6xzvb3//eTVOdeGLdcEOddJIX6eDJrVkiw1AHD9brzqzdu7tpqvm8/vCH+sIXNuf/Wv3fBSuwZhO+tnbvHn20XvvauuuuGoYax/ad73Rvf7v7tvAk1i/42vqGjJtuqvPO2/yBule+st34o+7YY6q8Mw9PbM2W9EvLX6Q555z64AfbYtGGWd19d1179SR1+N/WcsLX1n3bBx6os1/ffvPbbhiqq3bjj7ozz/S2PDyhtZzwtfXDFS95SV11VWttqq42Ft3HLpn+/W/3beEJrWvwtbWwf8c7+90f6BcbNZ/VnXf31+ybqlzFgUNb1yX90jhW39dvft3e/KZ23/1919VsVj/9ae3aZcceDmGNJ3zV8kyuXnFyt/ezNU1tHOv976+jj/YxHg5tvSf80jjWONanPlW7dtX73ldVgodD2wnBL/Pe2Kj5fHP33h1bOKSdEHxtNT9Nm9+WARzSDgm+LOPhKdg5a1+1w5PaOcEDT0rwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEOQ/dFxFgLuOi2EAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a2e26919b76de7bd85c01f6a810f4c3ecdde535c66cac6cedaf7675c8fac3d4c"} +{"episode": 14486, "episode_seed": 1805832063, "split": "train", "timestamp": "2025-09-15T22:56:14.017410", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1805832063, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "action": "('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKdElEQVR4nO3dTYjc9R3H8c9kd6OCbRqful1hEwLVpAcjBnSjXqTQYw+BQHuw1NYI5hCEUpH2UKj0oujNg6X2UDw0QqlYGmjxUCrWTZWaGOpTa2sw+BTwOTEPOzM9/IeZbExtjTs7k/2+XoQQ5mF3EvKe38P8//9tdbvdADWsGvULAJaP4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYIfim433e6oXwR8wuSoX8AK0RTe7WbVqrRaabVG/YLgTAR/9rrddDrpdNJqZXJyEHm7nY8+yrvv5rzz8pWvjPQlwmKtrqnnZ9GPvNvN6tWD248dyxtv5I038tJL2bs3e/dm377ccUfuvz/tdia9rzIe/E/83/rT9U4nU1OZmMjERJIcPZqXX+79OnAgzz2XF18cPGtqKn//u7k948UIf2an/qucGu2RI/nb37JvXw4cyCuv5F//yquvDu5t3gtOnuw9/eKL8/zzueyydDpZZXuUMWCET07ZVO/vt50a+XvvZX4+8/P5619z8GAOH87hw4ue3mr1nt5up93O9HS2bs3cXLZuzRe+cPpXgxGqO8I36/BmX/3U4bfdzscf55138vTTefLJPPFE/vnPHDuWY8fO/HWmpnLBBfnylzM3lxtuyPXXZ3Y255+f885bnr8HfAa1Rvgm8v6+et+RIzl8OG+9lQMH8tRTmZ/P888veuJpQ/SaNbnkkkxPZ8uW3ki+fv2Zv52ZPGNl5Y/wTeHNYD41Nbj9/fd7i/CXXsqzz2bfvrzyyuDe5pEnTw5uufTSbNiQDRuyaVOuuSZXX53LLz/9G/WZwzOeVmbw/b9TM2Pve+edPPdc9u/PCy/kH//Iyy/n0KHBvVNTabVy4sTglpmZXHVVrroqGzfmq1/NFVfksssG9y4sJHGkDeeSlRn8qQ4f7u23PfNMDh3KW28t2nJrWu10BrfMzmZuLtde2xvDp6fzpS8N7l1Y6E3UT1v5L4f+viKcrZUWfLebhYUcOpT5+Tz5ZJ56Kq+9liNHcvTomR8/OZmpqczO5sYbc8MNufbaTE/nwgsXbbl1Omm3ByP5aIrrdnvfuP8H+OxW1KbdwkImJ/PYY9m+/dPOXVmzJmvX5vLLc9112bo111+fmZkzPKzd7uU9gsH8ky9lYiJ//nPm5rJ6teY5aysq+KaC2dnMzub11xdtuU1PZ926rFuXzZtzzTXZsiWXXnqGr9B/m2i1eofTjV5T+0MP5dZbs2NHfvazXHxxYm7P2VhRwa9alW43mzZl7docPJgNG7JxY772tWzcmI0bs2lTLrpo8OCFhcEUvd/O2EXU1P7b32bXriR59tkcP56Y2HOWVtoavvH44/nww2zalJmZfPGLg9ubMb+Zop8DvTS1P/54tm/Pe+/liivyhz9k/Xqf73PWVmDwpw1+7XYvkGY1fs5o9gnn57NtW958MzMz2bMnmzernc9jRU3pG83HbE32zVJ8XFbj/7/+J3DNUQFr1mT37mze3Bvz4WytwBH+nNe8VzVvWhMTeeKJnDiRr3/dup3PT/Bjpqn6gw96ew8+fmdJWQ2Ok+aIv+PHs2NHbrklR4+m1eqdc6t2lsIKXMOfq/rH/f/gB3nkkSS56aZ85ztJrNtZKkb4sdEM7z/+cR54IEluvTXbtydqZylZw4+HkyczNZV7782ddybJtm359a8Xnc0LS0HwY6DZkHvoodx2Wzqd3HRTfvOb3jl6lu4sKVP6UWuuv/Pww9m1K51OtmzJww9n7Vrb8gyD4Eeqf/XMF1/M0aO58so88khmZnqH2cFSM6UfnWYMb35fWMgDD+S66zI31zvLF4ZA8CPS7/y0ts3kGSbzxhFptfLaa7nttvz+98kpP91G7QyTEX7ZNVV/+GG+9a3s2ZN16/KnP2X9eifGsAyM8Murf2LMjh3ZsyeTk7nlllx0kV06lofNoWXUfAKXZOfO7N6dJLt25Sc/SSzdWSZGleXSP0H/rrvy4INJ8r3v5b77BnfB8Bnhl0u3m48/zv335957k2Tbtl72cTgdy8cIvyyaM+GOH8+jj6bTyTe+kV/+MhMTn3YxbRgCu/TLpZm3P/10du/Ozp3ZsMHV6Vh+gh+y/7Y+t25nFIwww9RcqeYvf8ndd/d+ol3z9qp2RsSm3dB0OpmYyL//nZ07s39/Dh7ML37R61ztjIgRfjiaXbq33863v539+3Phhbnxxt7tMDqCH4Jmxv7RR7n55uzdm4mJ3HNPvvtdM3lGTvBD0Jz0+v3v549/TJKf/jS3377oR1vCiAh+SXW7abfzwQe5/fbelWd/+MP86EdptzM5aXhn5Hwst6SaM95+97t885tJsmNHfv7zxLY840LwS605rf3uu/PCC/nVr3pXnlU740HwQ3PiRFavHvWLgEUEPxzNYbNm8owZm3bD0b86JYwTR9oNh9QZS0Z4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjkP2r0nzuEinWLAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "action": "('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "action": "('move', [1.7906878309716348, -1.0652442436369962, 11.690383753297661])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "74f4af5814598bf9fe3a8b29961cac1dc597971ede4d01fd555945e6ad582526"} +{"episode": 14487, "episode_seed": 3650472222, "split": "train", "timestamp": "2025-09-15T22:56:14.648583", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3650472222, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "action": "('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "action": "('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "action": "('move', [9.306953086305066, 4.96262600983014, 10.576098041475092])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ef72c4f23b56ef8e686522c5125a601af17c4155982f3c8cf2deba15f026d030"} +{"episode": 14488, "episode_seed": 2528706204, "split": "train", "timestamp": "2025-09-15T22:56:15.276893", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2528706204, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "action": "('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "action": "('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "action": "('move', [2.2442960860984975, 5.807170127267003, -47.71184139071526])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "16e256c472561366a02e98839a66fa8e5df2e3c337ae07f2e75b381550582d62"} +{"episode": 14489, "episode_seed": 63301495, "split": "train", "timestamp": "2025-09-15T22:56:15.907176", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 63301495, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "action": "('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "action": "('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "action": "('move', [-38.962154532585366, -44.419053094640425, 52.71436437857236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHe0lEQVR4nO3b7XIUVR7H8X/PZNgoiAUo4CKoCChISZAsu1V6DV6Cl+E9eB2+8CZ8v8VT3JInswgJWUtWnqyyWFAy070vJgaSlaqt3ZgAv8+n5t109XQm9e0+5+Sk6bqugAy9jb4AYP0IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoJMbPQFPJ+6rtq2qqppll7wNGi6rtvoa3jOdV0Nh0vZ93riZyMJfo11XTVNff11ffdd7dlTr/2xdr664oDFh1W/lt8zo2J9CX6NLS7WYFCffFKff167d3fvHGoOvVMH9rcHD9bbh3qHDtbk5KODR6Mqw37WkeDX0njq3u/XRx/VqVM1HC6/024aNK/va17fU3v3tIcPd8eO948dq717n3ieMXcB1pbg11LbVq9XP/xQH35YV68+6aiuqrZubV5+uV55pd470k1PNyema2qqtmz57XOOpwlGAfz/BL/2RqO6caPOnK2zZ+r0X0ffzDb37vfu36+HD8df9epqm6YGg/rDpu7wodGf/jJxYrqmp2v3rm7zlubFF1efeXxP0T//G8H/7tq2LlyomZn66szo4uXmnzd7t27VzZsrjun3l57kv+pe3T46cXJiaqqmpurNN7tdu5qdO+vx/tu2hsPqNdX0LP7z3xL872X8vXbd6qX427fr0qW6fLkuX665uZqbr7mr7b1/1fImqMGgmqYWFx/vvz18uDlypHn33Tqwv93/dvPW/mbV/H9x8dGf/cTPkwh+PYyf3m1bTVMTj+11Gg5rYaEW5rv5+Zq90py/UJfOd3PX26r++IBeryYmajhc2sYzPtmOHc2+fc0bb9T+t9qjR5sj7zVHj9bmzSs+0bIfv0nw6205/q6rTZtWvPXTT3X3TnfrVs3+vTl3rmZmamam7t17dMC43sdH/oNBbd/e7NhRe15rjx+vD6Z7J07UgQPr86Pw7BH8Ruq6R5tw+/3VT+MHD+rBg5qbq9On6+zp7syp0T9uTPzyS/38c3Vd95+Lf1U1GNTkZG3bOpr6oE7+uX/yZE1P17ZtS+v8IPinxfKcv+qJ8/Dbt2vmq/rbTJ09Nfx2fuLOnbp7d8UQoKqaXnWPxv/12Wf16ac1HK6YShBL8E+1Vb+cVXeB2dm6eLHOn68rV+r69VpYqIWFtqoZP/x7vZqcrC++qI8/Xtr/B4J/loynAF1XXVu9/or1/x9/rGvX6tq3o7n53jezzexsnTvXvfRS8+WXdexYjUbV72/cdfPUEPyzann+P96K8/iIvW3r5s36/vtaXKz3368XXti4q+QpI/jnxHjZv2urGtN1nkjwz6Hlkb//wGUVwUMQ938IIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m/7JYZm7ci1TgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHe0lEQVR4nO3b7XIUVR7H8X/PZNgoiAUo4CKoCChISZAsu1V6DV6Cl+E9eB2+8CZ8v8VT3JInswgJWUtWnqyyWFAy070vJgaSlaqt3ZgAv8+n5t109XQm9e0+5+Sk6bqugAy9jb4AYP0IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoJMbPQFPJ+6rtq2qqppll7wNGi6rtvoa3jOdV0Nh0vZ93riZyMJfo11XTVNff11ffdd7dlTr/2xdr664oDFh1W/lt8zo2J9CX6NLS7WYFCffFKff167d3fvHGoOvVMH9rcHD9bbh3qHDtbk5KODR6Mqw37WkeDX0njq3u/XRx/VqVM1HC6/024aNK/va17fU3v3tIcPd8eO948dq717n3ieMXcB1pbg11LbVq9XP/xQH35YV68+6aiuqrZubV5+uV55pd470k1PNyema2qqtmz57XOOpwlGAfz/BL/2RqO6caPOnK2zZ+r0X0ffzDb37vfu36+HD8df9epqm6YGg/rDpu7wodGf/jJxYrqmp2v3rm7zlubFF1efeXxP0T//G8H/7tq2LlyomZn66szo4uXmnzd7t27VzZsrjun3l57kv+pe3T46cXJiaqqmpurNN7tdu5qdO+vx/tu2hsPqNdX0LP7z3xL872X8vXbd6qX427fr0qW6fLkuX665uZqbr7mr7b1/1fImqMGgmqYWFx/vvz18uDlypHn33Tqwv93/dvPW/mbV/H9x8dGf/cTPkwh+PYyf3m1bTVMTj+11Gg5rYaEW5rv5+Zq90py/UJfOd3PX26r++IBeryYmajhc2sYzPtmOHc2+fc0bb9T+t9qjR5sj7zVHj9bmzSs+0bIfv0nw6205/q6rTZtWvPXTT3X3TnfrVs3+vTl3rmZmamam7t17dMC43sdH/oNBbd/e7NhRe15rjx+vD6Z7J07UgQPr86Pw7BH8Ruq6R5tw+/3VT+MHD+rBg5qbq9On6+zp7syp0T9uTPzyS/38c3Vd95+Lf1U1GNTkZG3bOpr6oE7+uX/yZE1P17ZtS+v8IPinxfKcv+qJ8/Dbt2vmq/rbTJ09Nfx2fuLOnbp7d8UQoKqaXnWPxv/12Wf16ac1HK6YShBL8E+1Vb+cVXeB2dm6eLHOn68rV+r69VpYqIWFtqoZP/x7vZqcrC++qI8/Xtr/B4J/loynAF1XXVu9/or1/x9/rGvX6tq3o7n53jezzexsnTvXvfRS8+WXdexYjUbV72/cdfPUEPyzann+P96K8/iIvW3r5s36/vtaXKz3368XXti4q+QpI/jnxHjZv2urGtN1nkjwz6Hlkb//wGUVwUMQ938IIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m/7JYZm7ci1TgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHe0lEQVR4nO3b7XIUVR7H8X/PZNgoiAUo4CKoCChISZAsu1V6DV6Cl+E9eB2+8CZ8v8VT3JInswgJWUtWnqyyWFAy070vJgaSlaqt3ZgAv8+n5t109XQm9e0+5+Sk6bqugAy9jb4AYP0IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoJMbPQFPJ+6rtq2qqppll7wNGi6rtvoa3jOdV0Nh0vZ93riZyMJfo11XTVNff11ffdd7dlTr/2xdr664oDFh1W/lt8zo2J9CX6NLS7WYFCffFKff167d3fvHGoOvVMH9rcHD9bbh3qHDtbk5KODR6Mqw37WkeDX0njq3u/XRx/VqVM1HC6/024aNK/va17fU3v3tIcPd8eO948dq717n3ieMXcB1pbg11LbVq9XP/xQH35YV68+6aiuqrZubV5+uV55pd470k1PNyema2qqtmz57XOOpwlGAfz/BL/2RqO6caPOnK2zZ+r0X0ffzDb37vfu36+HD8df9epqm6YGg/rDpu7wodGf/jJxYrqmp2v3rm7zlubFF1efeXxP0T//G8H/7tq2LlyomZn66szo4uXmnzd7t27VzZsrjun3l57kv+pe3T46cXJiaqqmpurNN7tdu5qdO+vx/tu2hsPqNdX0LP7z3xL872X8vXbd6qX427fr0qW6fLkuX665uZqbr7mr7b1/1fImqMGgmqYWFx/vvz18uDlypHn33Tqwv93/dvPW/mbV/H9x8dGf/cTPkwh+PYyf3m1bTVMTj+11Gg5rYaEW5rv5+Zq90py/UJfOd3PX26r++IBeryYmajhc2sYzPtmOHc2+fc0bb9T+t9qjR5sj7zVHj9bmzSs+0bIfv0nw6205/q6rTZtWvPXTT3X3TnfrVs3+vTl3rmZmamam7t17dMC43sdH/oNBbd/e7NhRe15rjx+vD6Z7J07UgQPr86Pw7BH8Ruq6R5tw+/3VT+MHD+rBg5qbq9On6+zp7syp0T9uTPzyS/38c3Vd95+Lf1U1GNTkZG3bOpr6oE7+uX/yZE1P17ZtS+v8IPinxfKcv+qJ8/Dbt2vmq/rbTJ09Nfx2fuLOnbp7d8UQoKqaXnWPxv/12Wf16ac1HK6YShBL8E+1Vb+cVXeB2dm6eLHOn68rV+r69VpYqIWFtqoZP/x7vZqcrC++qI8/Xtr/B4J/loynAF1XXVu9/or1/x9/rGvX6tq3o7n53jezzexsnTvXvfRS8+WXdexYjUbV72/cdfPUEPyzann+P96K8/iIvW3r5s36/vtaXKz3368XXti4q+QpI/jnxHjZv2urGtN1nkjwz6Hlkb//wGUVwUMQ938IIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngI8m/7JYZm7ci1TgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8a0c56f6f9a3e935335b7baddb84bbb5573016119df55d17abd99197861175ea"} +{"episode": 14490, "episode_seed": 1787146017, "split": "train", "timestamp": "2025-09-15T22:56:16.901230", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1787146017, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "action": "('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "action": "('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJXklEQVR4nO3dTahcZwHG8WfmTj7ENLmNxQgWQWpBpCCCCkIWblz4gbULP0C6VLfdKGhBC0KLFARdSXEjRanoQklRC/ULFGwURBdCUDciLkQUk9v2Jrkzx8VM7k1v81nFOzPP78dhmHsgk3MJ//O+5505k9EwDAE6jA/6AID/H8FDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcEvnWE46CNgfU0O+gB4iWHIMGRnZy/70ejmj3CLRoMBZWVNp5nNMgzXPgU4L/Bygl8WOzuZTHLmTL75zZw8mcOHc8cdOXbsRo+HD9/qi88nDrtu0L9Tw3ozpV8uv/51vv3t/TsPHcqRIzl8eP/j/MmxY9nczPHjOXFi/3b1TiUTwS+JYch4nCRbW0kyGr1kQL58OZcv39LrjEbZ2Ni/TSbZ2MiRI9nczIkT2dzM5mbuvHPxZN92/HgOHcp4nPF48QdZJ4JfFvMR+NSp3HdfhiEvvpidnUXqly/vPb/xFdh8wW9n5786kjvuWJwRHnkkDzywuNZgPbiGX0azWc6fz4ULOX/+Jdvunn//OxcuZHs7L76Y7e29J1f/OJ3e6l83H8/H471L/ek0hw7l61/Pgw8Kfq34l1wu81X38Xgxwb4V29t5/vnrbhcu5IUXsrWV55/P1tZim+/f3XnxYmaz/S976VKOHftf/3ocNMEvl/mV/HyknQ+213vMlZH56NEcPZrXvObmL76zk4sXs729eJw/2X3+wgt7U4l//SuzWe69d++QWA+m9KvtBqeD3R9Ho8Wp4bYW6qfT2/4jLD/Bt9h3Inj5ztFob2NdCZ5r2/0AH+vE9RnXpva1JHgoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngosgrBz2aZTg/6IGAdTA76AG5mNst4nCTDkNHooI8GVtvSj/Djcc6dy49/nNksSYbhoA8IVtgSBz9v+3e/ywc+kA99KL///d5O4BVZ4uB3XbyYra18/vO5dCmjkebhFVvi4EejTKd561vzyCMZjfL003nqKZfx8N8YDcs8YM6PbXs7H/lInn46d9+d3/wmr31tEuXDK7DEI3yuDPKvelU+97lsbuavf83DD5vVwyu23MEnmUwyneZd78qnPpXRKE89lWeeyXicnZ2DPjJYPcs9pZ8bhsxmOX8+p0/nD3/Iu9+dZ57JZJLRyMQebsvSj/BJRqOMx7nzzjz2WD74wXz1q5ks/eeFYCmtwgg/N/+k3XSajY3FI3CbVmGEn5vP3jc2MgzZ2MjWVmYzq3dwW1Yn+F2zWX7xizz4YL73PSv2cFtWZ0qfZBgWeX/sY/nOd3LPPTl7NidPuq8GbtFKjfDz8Xw8zic+kVOn8uc/5wtfSLK4rwa4mZUKPsnGRi5fznvek49+NEm+8Y385CeLZTzgZlZqSj83v0P+H//I6dM5dy6nT+eHP8zRoxmPF3fOA9exgoWMx5nNctdd+eIXk+SXv8wTT2QysXoHN7WCI/zcfKHuwx/Od7+b170u3/9+3vnOva/HAa5llfMYhjz6aF796kwmi8/hrOjJC/5fVnaEn5tOc/ZsXv/6vOENi3U7n8CD61vx4Hffgd+dzJvVw/WteBvz2udvzv/lLzlzRu1wA6ufx2yW0SjPPZcHHsj99+fs2cVO4GVWP/gkw5C77srf/pYkDz+cS5cWO4GXWv3gx+MMQ+65J1/6Ukaj/OxneeIJX4kD17Tii3a75qt3739/fvCDvOlNOXMmb36zBTzYZ716ePzxbG7mT3/Kl7+8GOHX43QG/yNrFPww5C1vyWc+kyRPPplnnzW8wz7rMqXPlXfg//nPvO99ee65nD6dZ5/NkSMHfViwRNZoDByPM53m5Ml8+tO5//48/ngmE1+DBVdboxF+bv7rzGbZ2LBoB/usXfC75uv2w5BLl3LokPIhazWlv9q89l/9Kp/8ZJ58cjHbh3prOsLPg//4x/Otb+Xee/OjH+WNb1zM86HYmo7wcw89lOPH88c/5itfWfz3NWt5doNbtqbBz++ie8c78tBDSfK1r+XnP/cl9rCmU/pcuYvu73/Pe9+b3/42b3tbfvrTnDjhS+xptqYjfK7cVHPqVD772dx9d+67z7odrO8InyvvyW9t5dy5vP3tiz2Gd4qtdfBXm8/w1U639Z3S7xqGTKdqhxSN8EDFCA9cIXgoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8h9jv3L9DPBIaAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "action": "('move', [-3.8711411302016714, -2.65214494599816, -27.369168668211575])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "91099387cc845e5538b6753f762c5aaed889ecf2df3efb0743866f2f06f94041"} +{"episode": 14491, "episode_seed": 756982431, "split": "train", "timestamp": "2025-09-15T22:56:17.526341", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 756982431, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "action": "('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALoUlEQVR4nO3dXYgVdQPH8d+cc9xVg+3BVdfwpUgLSYiQMBY1UCt7sSC10gsLTDN8W9KkVntBygjyLaigcs0kZVt3MTRto4uKsgvBNIiIJCEyyjQryfbtzMxzMcMa9Tzk6u6ec/b3/Vx44bmZXfZ7/v/5z39mgjiOBcBDptAHAKD3EDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8D0ripTPK44LfRyAJClX6APoy6JImYwyGYJHsWCE7ylJ7V9/rZ07FQSKIrJH4THC94g4Viajo0c1d66OHNEff+ihhxRFCoJCHxm8BTHjTneLYwWBfv5Z1dU6dkzZrMrLVVenOXPSj4BCYUrf/ZKkKys1c2Z6Dv/nn5o/X+++qyBQGBb6+GCMEb5HJCN5FKmmRi+9pPJytbWpslK7d2vyZOXzynEuhUIg+J4SRZLU0qJFi7Rjh8rK1N6uUaO0e7fGj0+X9IBeRvA9KGn+11/1wAPat0+5nPJ5jRmjvXs1dizNowAIvmclVZ86pbvv1qefql8/dXTommu0f78uv5zm0dsIvsclVf/0k26/XYcPp3P7CRO0b58GD2bdHr2K8aXHZTKKIg0bpl27dPXVam9XWZkOHtS99+rMmXRtD+gdBN8bkuZHj9auXRo5Uu3tyuX04YeaN0+//y6J5tFLCL6XZDIKQ117rRobNWyYwlC5nPbsUU2N2toUxzSP3kDwvSebVRhqwgTt2KGKCuXzKivTm2+qtlaZjIKAzfbocQTfq7JZ5fOaOlXbt6tfv3Ru/+KLWrtWQcDqHXocwfe2XE5xrLvu0tatKitTGCoItHatNmyQpDBknEcP4rJcASS/8iDQyy9r5UpFkcJQUaTXX9eCBcrnlc0y2qNHMMIXQBJzGGrJEj35pMJQ2axyOS1froYG5XIs4KGnMMIXTBynE/jaWm3YoGxWcayKCtXXa/p0NuGhRxB8ISUjeUeHlixRXV26jH/ppdq7V5Mn0zy6H8EXWOeNtHPmaNeudONtVZX279f48elsH+guBF94SfNnz2r2bDU3pzfYXHmlmpt11VU0j+7ElLHwkhH+kku0fbsmTVJHh3I5HTummTPTJ2TxkBx0F4IvCsnG2yFDVF+v8eOVz6tfP335pebN0/HjymZZt0f3IPhikYzkw4erqUljx6qjQ+Xl+uwzLVyo06fT22+Ai0TwRSRp/oor1NioESPU1qayMjU3a/FitbbSPLoBwReXZPY+bpwaGzV4cLrZ/u23tXSp2tt5iQ0uFsEXnaTqG25Qfb2GDElX6evqVFurKOINNrgoBF+kwlDTpumVV1RRoThWWZk2btS6demGPJrHheE6fJGK43StfssWLVmSPso+irR+vWpq0rdWcYMNuorgi1fyGJxsVuvXa9UqBUG60/a11zR/PhtycCGY0hevIEiTfvRRPf10uiEvDLVggXbtSp+lAXQJI3wJSFJ/5BFt3pxuvB04UE1NuvVWxnl0DcGXgGRuH8datEhbt6aX6ysr9c47mjSJ5tEFBF8akpX51lbdf7+amtK3Vo0YoYYGVVfTPM4XwZeM5Pb4lhbNmqX33lP//mpt1ZQpamhQZaXimJvn8e/4GykZydbaAQO0c6cmT1Zrq0aO1KpVGjSIR2XgfDHCl5hkAe/777V0qVat0qRJ1I4uIPjSxrso0SW5Qh8ALkTn7lrGdnQJwZekZFRnbEdXMUCUKmrHBSB4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8LAXx4rjQh9ELyF4GEs6DwIFQaEPpZcQPCzFsaIo7byxUd98k/5nX0fw8BNFimNlMjp5Ug8+qPvu08MPq6XFYW5P8DAThspklMmouVnTpmnrVkWRBg7UiRMKgj4ffBD39Z8QOCeOFQQ6e1bPPaeNG9XaqoEDtXKlams1YED6aZ+WK/QBAL0l6fngQT32mD76SJKuu07PP6/p08992tcxwqOv6zwzz2TU1qaJE3XokCQtXKhnnlFVlfL5dJJvwOKHhK8okpT2HMcqL1dNjUaO1LZtevVVVVUpDJXNmtQuRnj0ZUnMkj75ROPGadCgdN5+4oSqqiSXafxfuXyxwU4+r2xWp0/r8cd100166im1tKQX5Kqqzm25McOiHfqc5KQ9l9OBA1qzRh9/LElffaU4VjabTvL9Uk8wwqPPCQJlMtq8WTNnprUvW6a33tKAAZKUydjWLkZ49DVRpOPHtWKFmpokafhwbdqk2bOdI/8rFu3QJ3Suxp85o+uv19GjknTnndq0SaNHS47rc/8TU3qUvig6dyG9okL33KOhQ/XCC9qzR6NHm5+0/w0jPEpZ52L70aMaNUrl5YpjtbXp0CFNnJiu3tlcYz8f/C5QmpKYk1vZ163TbbfpjTckKYrUv78mTlQ+L4na/4ZfB0pQ5yz92DHNmKEnntC336qhQb/8okxGYagwVC7HNP6fCB6lJpmlx7Hq63Xjjdq3T5JmzdK2bRo0SJKy2XSDHf6B4FFqgkA//qhlyzR3rn74QZddpo0b1dioUaPST/H/sWiH0pGctJ86pVtu0eHDkjR1qp59VtXV6fOqqP3fsPEGRa/zEnryb3m5hg6VpNWrtWKFKiuVzyvHX/J5YYRHcUuusUtqaUn3xko6eVIHD+qOOyRRe5dwDo8iljyaIp9XXZ2qq/XBB4pjhaGGDElrjyJq7xKCRxHL5fTdd1q8WAsW6IsvtGWLpPSOt86H2KAr+HZEUUr21bz/vlav1pEjknTzzVq2zPDVEd2Lc3gUn+RJNZ9/rmnT9NtvKivTmjVavlz/+Q/3wFwkRngUn2S33JgxmjFDBw6ork5Tpkh/eWQVLhQjPIpYFKmtLV2c71yux0UgeBQ9pvHdh69MFD1q7z4EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIfwE2l0AGiVDJUgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "action": "('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "action": "('move', [12.981709059099591, -13.688816336604404, 41.434344746292275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIc0lEQVR4nO3c38vedR3H8ff3e9/XrR4MsqJBgqBCB6OOKgmNWE7FH5COypMQVhiYmorZhm6GoDayH/7YlKI6ECIYmEHTqR2MHeR2oEd64A4EEye4YIS5OfG+ru+ng/vubpKGS9vu+3o9Hn/B9zp4Xu/P9/39XlfXWisgQ3+yLwA4cQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQP1Vq1drIv4oQQPOmGoVqrrjvZ13FCCJ5ow1B9X31fR45EzHnBE2qh7b6v/ftr7dratq26bvqb79p0fz74DwtV931V1W9/0zZvqYMHu1Wr6tFH66KLahhqZuZkX+L/jQlPlmFYPMa//nptuHpyzXfr4MHutNPqzTfroYfq8OHq+2ke8rMn+wLgxJlMFqf3rl3t1h+0F/f3s6NuGOro0XbBBd3mzbVq1ZQv8Ex4UizUfvhwbb5tcsUV9eL+fjTqxvM16octW2rnzjr33BqGaa693MOTYOmm/dln28aN3Z49Q9/3XVeTSX3us+3ee9sll/Z1zPyfYiY806y1xaHd97V9e11+ebdnT83N9cNQk8nkmu8MT/+5u+TSfjyu1qa/9jLhmWLDUFXV93XgQN16a+3YUVU1GtX8fK1e3bb+uG349uKc7/spP8kvETzTaTyu2dmqqp1/ajfd2F5+pZ+Zqcmkqurii4b77u/XrFncxoekvsCRnik0P1+zs3XoUG3aVF+7or38Sj83V5NJrVpVd95ZT+zq16xZPOpH1V4mPFNm6aHaM39pmzYNz+ydmZmprqvxuH3h823rT/oL173rxZs0kR+aabSQ8ULtP/9ZW7++ntm7ONjH4/a9a2vn492F62o8rqrQ2suEZzosnc9ffbWuv26y8/GZqpqdrfG4Vn9q8sCDM1d9s7o+4sHbfyd4Vryl/dwfHqubbxwOvNYvpF7VLr24bX+4O/ucrmrKX6H7gFJPNkyLhdoPHqybbqpvfL0OvNafckqNx+3jpw9bt9aup/qzz+kCt/Hvx4RnpVrKePfu2rKl7dvX9X11VZOhzjuvbb2nvrK2S97PvSc/nmHlOXZi33PXcN8D/aFDi2/UVNUtt9TGjd3q1TUe18yM2t9F8KwwS/u5l16qG2+YPPl0X1Wzo25+vs44o7ZtqyuvXHgOt3hjz7F8+7GSjMeLv1f//e+GL5/fnnx6ZjTqqmo8P6y/su3dW+vXV1UNg9rfm+BZGVpbHNoHDtT3b2jfurod/Fs3N7fwYvzwi5+2x/7YnXnm4ireMf79WNqxAiw9UXvqqbrjjvbcc93MbLWhhmH46trurrvr/PO7zFdlj5dzD8va0pp9PKm776r776833ujm5uqdd6pq2PjD2rix+8Qna36+RqOTfa0rgQnP8rXw53NVtf/Fdv11bfeevv71/txZZw3bt/eXXVZV9nPHwb0Oy9TCfm48X488Uud9adi9p1+oehjqqqtq377F2u3njovgWXZaq8m4Zmfrlb+2a68dNmyov/9jZjSq8bid8en24IO1Y0etXv3vP5bng3OkZ3lZ2s898US7/bbh+Rf62dluGGoY2roL2tat3RfP7ZaO+hwvwbPsHD1at2+uX/+qjrzVRqNufr76anf8qLv55vax0zv7uQ/D3Q/LTt/XC8/XkbdqofbPnDN5+Jf9ugurqhuP1f6hmPAsR5NJvf324jO50ahOPbXqmKU9/zPBswL4KftHxRcmK4DaPyqChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/BBL4BTYTMCEXAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a614a5faf0e9a8e8fbc640ab6f810d6154f5480d73e7920ec45f64da1e175e99"} +{"episode": 14492, "episode_seed": 3974150155, "split": "train", "timestamp": "2025-09-15T22:56:18.157572", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3974150155, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "action": "('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "action": "('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKtUlEQVR4nO3dXWwU5QLG8Wdnd4GmYhojWsRolFhFLEZrqCaCSnCLIKElXIAaGz/QoN557Y13xEsVjGgTFGIUJY0RBBSaKBGb4AdELIpeYASxaBtTC5b9mHMx023hwDm2FLa7z/8XrobdZkr47/vOO7MziTAMBcBDUOodAHDxEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8GUpDBWGpd4JlCGCLydhqHxekhIJJRI0jxEj+PKQzyubVSKhZFKSjh5VV5cSiVLvFspNImSYGN/yeRUKSqcl6e+/tW+fPvlE69Zp0iQdOKAJExTwoY1/LVXqHcA55fPxkJ5M6tAhbd+uTz/Vli3K5SRp8mRt26bmZuXz8bAP/F8EP75E861orh5lvGWL3n9fX36pgwclKQiUSimXU1+fNm1SczNH8hgBgh8XolX3IBg6LD96VG1t+uAD/fyz+vokKQhUKMR/Ghv15JO6/36FIcM7RoBj+BIrFJTPx4foknp7tXevXn9dH3+s/v7TXplMqrZWmYyeeUazZmnChIu/syh7BF8yw1fjBgb03XfatUtvvqkffpCkREJBEJ+EmzJF9fVatkwrVqimZugnhCEL9RgZgr/YwlCFgjR4iP7LL+ro0Pbtam/XyZOSNGGCstn4yHz2bN1zjx58UHPnDr2dyDFqBH/xDF+Qk7Rzp9rbtXu3vv023p5KKZuVpOpqLVumBx7QnDm66ipJyuXiMZ/acT4I/sIqrsYV/fGHNm7Upk3q6lJPjzS4GheZOVNPPaV583TjjfFsP5tVELAyh7FB8BdKtJyeGjwN0t+vffu0dq22bdOff555Lq2mRgsXauVK3XGHLrkk3pjLKQi4rgZjieDH3vDVuFxOhw5p1y61tenrr+MXFIf0mhrNmKHmZj32mKZMGfoJhUJ8tTwwtgh+zJyxGvfbb9q9Wzt26N134xPp6XT8WSDpllt0991qaVEmM/R2ichxYRH8GDij1T179OGH6uhQZ2e8PZ3WqVOSlE7Hkd97r6ZPl6RC4cxLboALh+BHKVqNGz7x7u/Xhg3avFn79+vYMUkKgqEvrt9wg1pb1dSkmTNVVSUNrsaROi4mgj9fp07pwAG98Yba2/X77/GlMkXV1Zo3T6tWqbFRl10Wb2Q1DqXCtfSjFIY6fFiffabXXtOePfHGYsPV1br+ei1bptZWXXvt0Lvy+fjbL0BJMMKPxj//6IUXtH69jh+XpFQqPgknqa5OjY1qaVFLy2lv4Qo5jAcEPzLRMfnAgG69VYcOaeJEDQxIUhBowQI1NSmT0U03SazGYVwi+BErFBQEWrNGzz4rSdOmqbVVmYxuu02XXiopvkFFMknqGHcIfpSOH9fKlXroIc2Zo6lT441cBotxjuDHRrQax5COcY7gzwuXx6G8cILovJA6ygsXfwBGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGKiV4btQF/AsVEXxUey4XPwsCwDlU3E0sT51SKsVz24CzKvObWEYPcOrp0UsvqbZWy5fryisl7hoNnF2Zj/DZrNJptbXpiSckqaFB8+fr8cdVV1fqPQPGozKf+kZT9xkzNH++kkl99ZVWr9Z992n5cn3+uTRsMa/4oHbAWJmP8EW5nPbt05o1+ugjdXdLUjqtu+7Spk264oqhR7fmcjzzDc4qJfiiI0e0dq22btU336iuTl1dcd4nTqi6On5NNqtUiuxhqIKCjybt0SS/v19vv61rrtHChcrllErpxRd15IgWL1ZTk9JpidEejioo+EgYKp9XavDsQ6GgREI//aQ771RPj6qqNHeuFi7Uo4+qpqaU+wmUQsUFHwlD5XIKgnjA/+svvfOOXn1VBw7EL7j5Zi1apKef1vTpQ0f40ZPfgcpVocGfVV+fOjr08sv64gudOCFJkydr9WqtWhVP+yUVCvFxAVN9VCKP4ItjeGTvXr3yinbtUm+vdu7U7Nlx58eOado0ScrnFYYc4aPyeAQfKf6mUcYHD6qzU62t8Uy+o0PPP68lS7RggRobJalQUKFA9qgkTsEXDV/YC8O46kWLtHWrJNXWKpPRkiVaurS0uwmMOcvgI9EAnkrFE/69e/Xee1q/Pr5up6pKt9+uFSv08MOqqYlfE/1bMeCjbBkHf1a//qr2dq1dq++/j7csXaqNGzVxojSYej6vRIL1fJQj/tcOir5Lf/XVeu457d+vzZuVyejyyzVrliZNiiM/fFi9vUomFQTKZpXPl3qngZFhhD/df6/nT50aL9339qqhQdddp0ce0dy5mj69VPsIjBrBn0N0oi6ZlAY/BXbsUFNT/Lf19Vq0SM3NamgYWgUAxj2C/5+KN9IIQ3V3q7NTGzdq82blcpJUX6/OTlVVETzKBcGP0MmT+vFHbdigdeu0eLHeemvoGzvAuEfw/1rxjH2ku1thGN9RCygTBD9CnIpHOSvzm1hefKSOcsbBJ2CE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjAyH8AIyDOeyCWK2gAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "action": "('move', [-9.74905011833579, -10.391455243116846, -44.644507716107285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "079e8216a1510e08973658cfce7f4726b8ffa0d744f12317aa1d126735c41e3c"} +{"episode": 14493, "episode_seed": 2113618730, "split": "train", "timestamp": "2025-09-15T22:56:19.136366", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2113618730, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "action": "('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "action": "('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALf0lEQVR4nO3db2hV9QPH8c85d3OiD5xPxIaCKEEq0k9ByyAirEwxWJrVQihS15z/EgrCDBO0KAITBY3SyjJNymLEKLLUwv4ZUYj5RBIyw/knc6617d57zu/BuRhF6Ta33Xv2eb8eye6Tw7zv+/2e7/ne74I4jgXAQ1jsCwDQdwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMGjaPJ55XLFvggzBI/iiCJlMioro/k+RfAogjhWGOqDD/TaayorK/wEfaCs2BcAO1GkMNTRo3roIV24oGPHtGqVBg4s9mV5YIRHn4pjBYGam7V4sc6dUxxr3Tpt3Vp4Cb2N4NGnokhBoDVrtG+fysuVz+uGG1RTI0lBUOyLMxDEfK6iryST+R07NG+ewlBRpOHDtW+frruuMPKjt3EPjz6S1P7991q6VGGoMNTAgdqwoVA7+gZTevSFKJKkU6dUV6fz5xUEyuVUV6fZs5XNSszn+wpTevS65C0WBFq0SFu2qKJC7e2aNk0NDYXF+ZBxp68QPHpdPq9MRlu2aNGiwk6bkSO1b5/GjCm8hD5D8OhdyWrcF19oxgxdvKhMRkGgPXs0a1bhrh59id83elEympw9q7o6NTcrDJXL6cknNWtWYbMd+hgjPHpRMrzX1GjXrsJkvrpau3crDJnJFwefsegtuZyCQM8/r127NGCAcjlNmKAXX1R5OWvyRcMIj16Ry6msTI2Nuv9+tbRI0qBB2r1bM2cWXkJRMMKj50WRysr088964gm1tKi8XHGsp5+m9uJjhEcPi2NFkbJZ3XefGhpUXq5sVjU1eust9s8WHyM8elgcK5PRc8+poUGZjLJZjR+vDRvYP1sSGOHRk5JH642Nmj27cILV4MH6+GNNncrwXhIY4dFjktqPH1dtrdrbCz9cv15Tpyqfp/aSQPDoGXGsONYff+jhh3XypCoqlMupvl4LF7LHpoTw/4AeEMeFsyifekr79yuTUXu7brxRq1YpipjMlxDu4dEDkqTfflvz56ujQ/m8hg7V3r363/94DldaCB5XK7l1P3JE06bp9GmFofJ5vfGG5s3j6zElh/8NXJXk/ry5WQsWqKlJZWXK57V8uebNUy5H7SWHER5XJflCe329Nm/WgAHq6NAtt6ixUYMGFfvK8G8IHt2X1L5tm+bPVyajfF5VVdq/X9dey2S+RBE8uilZjTt0SHfcoYsXC4dSbt+u6mqW5UsXH8LojmQA/+UX1dXp998lKZvVkiW6667CoZQoTYzw6LLkLRPHqq3V1q2FQymnT9d772nAAIUhw3vpInh0WTKZ37hRy5YVvgw3apQ+/1wjRnDrXuoIHl2T3J9/9pmmT1d7u8JQ5eVqaNDtt3PrngLsgUIXJKPDqVOqrVVbW+GYurVrqT01GOHRBcmb5Z57tGdPofa5c7VjB4dSpgb3W+is5FDKdeu0Z0/hy3CTJnEoZcowwqNTkoW699/XAw+orU2SKiu1e7duu42vx6QJIzyuLDmU8qeftHKl2toKh1KuXk3t6UPwuLIgUFOT6ut19KjKytTRoQcf1PLlimNqTxmm9LiCZPn9yBFNmaLWVkmaOFGffKLKSok/85w2jPC4giBQHGvsWB04oIkTNXCgtm3T0KGFl5AujPDoguPHdeaMpkxhR11aETw661Lk7LFJL4JHFyRvFmpPL9ZY0QWknnbchwFGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvAobXGsOC72RfQfBI/SFgQKAklk3yPKin0BwGW1tOjgQbW26u67FceF+NFdjPAoVbmcJG3YoDvv1IoV+u03RRHj/FUieJSqZDC/6SYNHqwTJ7R+vTIZ5fPFvqx0I3iUqkxGcaxbb9WcOYoivf66fvyR5q8SwaOEBYGiSKtXa8gQnTihzZsLa3hM7LuL4FHawlCjR2vFCknavl1ff60wVBQV+7LSiuBR2pK2H3lEo0erpUUbN6qjQ5lMsS8rrQgepS0Zz4cP1+OPK4q0Y4cOH5Z4LN9NPIdHGsSxqqt16JDGj9fIkdTebUHM7w5p0d6uigpJ7MDpNoJHqkSRwrDwj0u7btFpTOmRHnGsMNTJk3r3XQWBli5VPs8CXpcQPNIjmclv2aK1a1VVpZkzNWYMzXcJq/RIj2QyX1Ojykr9+qs2bSr2BaUPwSNtxo3TokWS9Oqr+vZbNtt2CcEjVZLzMJYs0ahRunBBmzYpm1UY8qCukwgeqZIsy1dV6bHHFIbavl1ffslafecRPFIojjV3riZPVhBozRq1ttJ8JxE80iYIlM9r2DDV1yuK9OmnOnZMYrNtp/BYDimUfFV+zhydOKEJEzR6NLV3EjvtACNM6ZFayViVfH82m1Vr618/xH8geKRWslAXhjp8WPX1evZZRRFnY1wewSP93nlHr7yil1/Wd98pkykcd4t/Q/BIs2QCv3ChRo1SU5Neeknt7ezDuQyCR5olB1qOGKFHH5WkN9/UN98Q/GUQPFIu2Wx7772aPFltbXrmGXV0sA/nvxA8Ui4Mlc/rmmu0eLEqKvThh2ps5Cjr/0LwSL+k+epq3XyzwlCrVun06WJfU4kieKRfctM+ZIiWLVMU6exZnTnDIP+v2GmH/iL5U5M7d+r66zV2bOEYHG7m/47g0R9dOtaW823/jik9+pdk0T4I1NSk335jYv8PBI/+6MABVVdr5Uq1txc+AiCJ4NE/HTyor77Szp3sw/kHgkf/ksznFyzQpElqbtYLL6ijg+YvIXj0L2GoXE7DhmnxYoWhGhv10UfFvqYSwio9+p3kr1BduKC5c7V3r8aN0w8/qIzDnSSOuEI/FIbKZlVZqdpanTunGTPU0UHwCUZ49EfJnfyff+r8eVVVFftqSgjBo7/L5RjeLyF49F/JE/iQlem/EDxghA8/wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyf2o4O6IC8oLyAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "action": "('move', [2.6689738249092207, -6.556469545370046, -57.01069863361615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "673ddc7bfcee6a64d72dc32b44767643ab848a7a1192348aa347d838df0d6efc"} +{"episode": 14494, "episode_seed": 3139650919, "split": "train", "timestamp": "2025-09-15T22:56:19.761594", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3139650919, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "action": "('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK6UlEQVR4nO3dT4ycdR3H8c9MdwlY/9TSFhCFBEmDtdaSAHUFWeofUvxzMSoGIwcPBD0YPVTDQS+a6EGj6UVJjCYabTE18QCmIjUS0g0FxGKxUhIxaFoNof6pttrtzDwe5oGltbXbom5nvq/XqbvTSZ5k+u73mef5zW86TdMEqKG70AcA/P8IHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieP47miZNs9AHwalMLPQBMCY6nYU+AubBhOdFGU71e+7J616X738/hw9nMDDqz16dxovDi9M0ectbsmNHktxwQ7Zuzfnnp2nM/LORCc+ZGw7ze+/NzEwWLUqSlSuzeHEGg4U+Mk5C8LwonU6+9KX2it355+fWW3PuuRkMjPezlOA5Q/1+ut3cd19mZtLtZjDIhg25+ur0eplwLfhsJXjOxPM34b72tRw+nKbJkiW59dacc85CHxn/keA5E4NBJiby05/mZz9rz96npnLjjen12jfznJ0Ezxmanc33vpc//SmdTiYm8slPJkmn4937WU3wnLZ+P4sW5bHH8sMfZtGiNE2mpvKOd6RpjPezneA5PU2Tbje9XrZsyYED6XTSNLnjDottRoOFN5ye4Yqa3/wma9Zkdja9Xqamcv/9mZxc6CNjHkx4Ts/wLfrXv57Dh9s/f+pTmZw04UeDCc/paZr88Y+54or8/e8ZDPLmN+eee7JkibW0o8GE5zQMl9B95Ss5eLDN+7bbsmSJpXUjQ/DM13CG79+fzZuTpN/PVVflXe9a6MPidAie+er10unkzjuzf3+63ST50IeybFl6vfZHzn4WPTMvw6V1+/dn69b2w3CrV+fmm9u7dIwKrxXzMnyXvnlz9uxJt5tuN+9/fy66yHgfMV4rTm043p95Jt/9bvvjq1+d225L0/hg3IgRPPN19935xS/axbO33JILL3QrbvS4D88pDKv+y1+yYUMeeiidTl72suzdmxUr1D56THjmZfv27NyZiYkMBrn99lxwgdpHkgnPqc3O5vrrs3NnFi3Kuefml7/MZZc5nx9JJjz/yXBnm5/8JDt3ZnIy/X4++tFccomV86NK8JxCp5MvfCGdTgaDLFuWD36wPbE33keR4Dmpfj+dTrZta6/V9ft573vzhje0G2AwigTPiT2/TeVXv5peL02TZctyyy22qRxtgufEhotttm3Lgw8mSdPkhhsyPW1p3Wjz0nFSR47k29/OX/+aTieLF+djH0tsUzniBM8JDHebfuih/PjH7ZdMXHtt1q/PYODd+2gTPMcbfgBudjabN7e7UCfZuNGtuHFg4Q3HGwzS7ebxx3PNNTl6NL1err9+7gsnGGkmPMcbXpP7xjfyj3+0kd9xR7sdNaPOhOcYw38OTz+d178+//xnmibXXpt7781551lLOw5MeI7X6WTTpnYX6qbJxz+u9vEheOYMq963L9/5Tru07k1vytve1j7EGBA8c/r9JNm0Kc8+287zj3wkS5e2XwXPGPAy0hreY9+3L1u3th+VueqqvOc9TubHiuBpDT8A981v5qmn2m+A/sAHcuGF1tKOFa8kyXMr5//wh9x1V/vjZZflwx+2tG7cCJ7kuWtyP/hBuwt1p5Obb263qTTex4n78LRL6/bty003ZffuJFm+PHv3ZskS797Hjf+9Sbebpsny5fnsZ7N2bbrd3H57XvnKhT4s/gdMeI63ZUve+tYsX268jyHBQyFO6TneYGBd3dgy4aEQEx4KETwUIngoRPBQiOChEMGPmn7ffTPOmNtyI+vo0fZjLj7dwrwJfnTs2ZO778511+Xii3PJJXMLX48ezcSEdbDMx8RCHwDz0zS5885s2pQka9fmmmty5ZVZvTpr1uTlL2//wnDTSZ9o5eQEPzpe85qsXp3HH8+uXdm1K0kuuCBXXJErr8xnPpOlS9vmh6P+hSduhj/PcUo/Oo4cyTPP5Pe/z8MPZ/v23H9/Dh5Mkte+NjMzWbEiSfbuzZNPZsOGTE4e81wb05FE8KPqyJEcPJhdu3LXXVm7du6LXT/96Xz5y7n44lx9dW68MevX51WvyuLFx9Q+vMg/vOBHMYIfHcP358kJ3qIPB/jhw/nEJ7JlS/72t7mH1qzJ29+e6em8+93HPHEwaL8jVvmVCH5kPf/CvTDXP/85Dz+cmZk89lieeCJPPNH+/hWvyIEDbdv79uXQoaxcOfes4R0+5Rcg+PH1619n9+786lfZsSNTU/nc53L0aCYns3FjfvSjvPGNWbMm69Zl3bq85CULfaz8nwh+vDRNBoP0+5mYmDuBf/bZdLvtJnW9Xqam8vOftw8tXZpLL82qVZmezvr1ufzy4y/vDXerj0v9Y0LwY2pY/rDeF+4s3zR58sls355t2zIzkwMH5h6ans727e1/E8PnTrzgru1wa1tGnOALGL7E/z6iDx3KAw/kvvvywAN5+uncdFO+9a3Mzuacc/LFL2bHjrzznVm3LhddlBUrfB/FeBB8PSe8J79nTyYmsnJlO8kvvTS/+1370Nq1ue66vO99mZ52P3/UWWlXz7/fk0+yalX7m+F5+8aNeeSRPPpodu9uF/a99KWZnvbVU6POhCdJMhgkx97hb5o89VR++9s8+mgefDCf/3xWrTLhR53gOZHhDbznHTqU885z0W4MCJ6TGC7sswh3vAieeXAmPy6cpDEPah8XgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4X8C0wCxg+xIcVbAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "action": "('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "action": "('move', [-1.5203143918017787, -2.611411952243276, 33.381295724917095])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKyUlEQVR4nO3db4hVZQLH8d+5f6Z1siSTnFVKw0lTdHQMnYxiMDQqgv6AYWiIotnavymSXpi7rLrSsoyglpUIko2mL0xsBwtzhBJnFyypNDNf1JYJ4iamNZpzzz1nX5yT4+wWuGvseM/v+3k5d64cuPO9z3nO85xjEMexAHjI9fQBAPj/IXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBJ9BYahyuacPApekQk8fAH5lYahCQZKiSDm+z9EdfxHZEceKYxUKeuMNffKJcjnFcU8fEy4xBJ8dQaAg0KpVmjFD06bpm28UBIqinj4sXEoIPiOSSfurr+qxxyRp/37NmKGTJ5XL0Ty6EHx2xLFuuUWjRqlU0mWXaedOzZ2rMKR5dCH4jMjnFUUaNUqrV2vAAJ09q2JRmzbpiSdULiuKmM9DIvgsSZq/+WatXavevdOx/ZVXtHixCgWVyzQPBTF/BdlSLiuf1/r1evhhBUF6Pr9qlebOVRwrCHr6+NCjGOGzJp9XGGraNC1bpihKT+abmrRlCxftQfBZlJzbNzVpwQJFkYpF/fij5s7Vrl3K5RSGPX186Dmc0mdT8qlGkR59VGvWqFcvnTmjG27Q1q0aPjw97Ychgs+sKFIQ6NQpTZ+u1lZVVamzU+PG6a23VFPDfN4UwWdZsp3+yBHdf7/27FGhoDDU7bdryxZdcYUkmrfDHD7Lku30AwdqwwbV1ioMVSxq50498ohE7ZYIPuOCQOWyamu1fr369VOplG7Ieeop6af7beCD4LMvn1e5rPHjtW6dqqtVLiuX08qVWrJEksKQ5o0wh7eQjOS5nFpaNHt2uj5fLOqllzRrlsJQ+Txn+BYY4S0kW+7KZU2friVLVCopl1OppPnz9fbbKhQ4t3fBCG8kjtPr9s8+q2XL0lP9mhq1tuqmm3hCjgWCdxSGmjlTLS0qFlUqafBg7dihIUNoPvsI3k5S9cmTevBBbd+ebsgZO1bbt+vqq2k+4/hs7ST3z/XpozVrVF+vzk4VCtq7V1On6sQJbrDJOIJ3lFzAu/ZatbRo8OD0Kv2OHXrySZ05k071kUkEbyq5YjdihDZuVL9+iiJVVamlRYsWpffVMNXLJIKvNL/eA6uS5hsatHatCgV1dqpYVHOzli9nGp9ZXLSrWMlierLCfhGSq3Rr12rOnK6T+Q0b9NBDXf+nBTKD4CvHgQNqbdWtt2rgQF13XdfOuFJJhcLFbJRLbpV94QUtWKB8XqWSqqu1dasmTeLO+awh+AqRPKdqxQpJGjNG48ervl4jR6quTldemf5CEHTtof0v/+1kbH/mGa1cqWJRYaj+/bVtm+rrGeczheArRByruVmvvab9+7t+2L+/brxR9fVauFB9+3Z7qMX5H+sFDP7JZYHTpzVzpjZvTqf3tbVqbdWwYSzOZwfBV46zZ3XsmA4f1p49amvTe+/p1ClJGjJE7e265hpJ+vxzHTqkO+9UsdjtvRfwgJuk6u++07336v330014EybozTdVU0PzGUHwlensWZ06pY8+0qZNGjNG8+ZJUhDouefU3KyBAzVunO64QxMnasAAXX55t9qT0Ty54NddUvXRo5o8Wfv3p5vw7rtP69erupqnYmUBwVeOc3e0/edQm7R4+rSamrRxo77/vuulujpNmqTGRt1zT7c3RlG64aZ7+UnzBw9q0iQdOZKO87Nn6+WXuYU2Cwi+Yp374M6v8MQJ7dmj9nZ9/LEOHtTBg+nP+/TR8eNp20eOqKNDQ4d2vStZ4fup/OTbo71dDzygY8fSB90//7wWL04fnkH2lYvgs+uzz7Rvnz79VLt3a8IELV6cPuBq/nxt26bRo1VXp4YGNTSouvr898Wx4ki5vDZv1qxZ6uhI1+pWrNDjjzOZr2wEny3J8lq5rEKhq8tvv1Uup6uukqQw1IQJ+vDD9KW+fTVokEaMUGOjJk5UbW0yvsdSWFYxr5XLo6efDuJAuVxQKGjdOk2ZwuJ8BSP4jErKT87Oz68zjnXokNra9M47am/X8eNdLzU2qq0t/ZqIo7gcl4uFvLRwkf70B+WDqBznevfWpk26667/YbEflwR2VGTU+Z0n3+nJzDsINGyYhg3TvHnq6NCuXdqxQ7t26auvdP31yufV2amqKv35L8Hu3fm77w4aGpbM++0/D9esfj1XFemHH/Tuu5o8OX0qFpP5isMI7+dnSz1wQIWChg5N5+iDBunrr9OXxo4p3TZxytYZW/8xuqkpXro06NWL2isVwXs7d+Pdv03KX3xRH3ygvXu1b18sBdLR3/3xr7f9fs7UsoI8tVcugockpXfJnT8vj2N98YW+/FJ798Z/+3uwdJGGj4yjWEFA7ZWL4PFzkgW8czo64t9Ul6Mgf1F35aHnETx+QbKx7xc24aJCETwuALP2rGAtFReA2rOC4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Reui+6KBZdUkQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHuklEQVR4nO3b/45U5R3H8e85O6ypikmNKBipkKamUpBYCMi2UFsNtt6C99DegZfhFZjo3ybaaCyKhSrQaLrVmviLiqarlcZERQjsnKd/zLCLG0tsmhRmP69X5o/NnDNnT7Lznuc5z5ntWmsFZOiv9QkA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCnyWtVWvX+iSYZaNrfQL8F7pu+sN4XF03fcB31zVDxvWtteq6evzxuueeOnSo3fr97uaNq1uXl6uq+r56czW+A8Ff1ya1nz5du3fXl1/WXA0HflYPPdwvPNC2ba+7t3U33DDdc3m5WpuWb9jnPzGlv66NxzUa1TPP1Fdf1fx8Da0/dryOHa+qdvcPugMLtef+Ydeu2rW7v/PO6UuGocbjafbKZw3Bz4C+r82ba2mpVXVVNRpV1/UfnqkPz9TTT3c3fq927Kx7f1x799bCQu3duzq9v3L2Jn7KlP46N5nSnztXS0v199Pt6B+7P7wwvHai2uXbK31fw7C6/+bNtWXLsHdPHX6kf/DBuu22tUebHLD0n0rwM+b813X2X3XsWD337PDKy+3s53Pnz3/Lvbr5+brpxrbzJ8OvH507fLju+VG76eZubm66tbXpOr8L/jSCnwErt9/XLMW3VqdO1Ysv1tGj9cEHtfSPdu7rmkz7u+4bnwJ3bR4/9Mjcww/XfffVli21adPqpksXq+ut86cQ/OxZ+YtdOTgvLdXxY+3VPw1vvT339t/qzEfD5FtVfV+jUV28ON2t72thoRYW6qf3D/fu6HfsqNHlZZxLl6ZjvvLXMcHPtmGYjv9Xdru42N5cbG/8pT9xol57bVzVT4b9+flaXl655h+2b+927ep27hjv298/sNDdcfv0CN/6gcL6IPh1Yhimj/n51SeXluqjM+2vb3ZHjtSRI/XJJ9PnJ2P45fLbxo3d1q31w+3DoV/UL3/V79mz9uA+AtYNwa83rU3LH41W+7x4sb74ot59p154sZ5/drz4Vn/hQjcer31p13W33FKbNtXBg/Xoo3Xw53XrrbVhfu2vYHYJft2aTPUnX79bMzJ/+mm99FI9//vh1J/rn5/1n302eQ+sHb7nR8O+fXX4N/2Dh9q2bXX7Hatf7GNGCT7CVebkJ0/WKy8PJ052777XvfNOnT8/fX60odpQl2cBbdvWduBg/7vf1v79NR7Xyh0+ZovgE60M/pNl+YmPP6433qjFxXr99Tp1sn30cZus849GNRrVhQtVVU8+WY89Vpcu1YYN1+7s+R8IPtrKBX/VasMXLtT777X332uvnuyPHhlePdGq5qpq58567rnautUIP8MEz9Sk/Na+MXp//nmdPdtOneqeeqruuqueeGK6KMCMEjxrtVZtqFZrh/FhkPrMEzxXM3l3uP2+bvj3WK5G6uuMKRoEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE+TdwkJLCtAqWjAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6714eb9e76cbd0562d68fd7afc80a62037f5a1d32cb542f96b8c51fb515c2eb4"} +{"episode": 14495, "episode_seed": 628830632, "split": "train", "timestamp": "2025-09-15T22:56:20.390181", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 628830632, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "action": "('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQUlEQVR4nO3dfWhV9QPH8c+59+6pNIxcbEkilVYIJS0FMQJpUlCQ+IAjIidhWbPSnJFCRBAFYoVJliii5ja11nI9mDqiLIOiRwSF/FMjtFKydLr7cPrjnN+dv1C36drd9fN+/ef1/nE4O+/7Ped7vvfcIAxDAfCQKPQGABg4BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPHqQyxV6C9B/CB7nE4ZKcIxcQvhj4nyCQN9+q66uQm8H+gnB4+yiM/nVq3XXXXrppUJvDfpJEIZhobcBg050UKxYoYUL41dWrNCTTyqTUTKpICjgpuGiMMLj3/JDQCaj0lKVliqZVGOjmpqUSimbFWNE8SJ4/Fs0gIehGhu1ZIm6upRIKJfT/Pnavl2plHI5mi9WnNLj7MJQuZyyWS1cqFWrlEwqm1VlpdraNGmScjlm74sSweOcwlBBoNOnNXu2tmxRKqVMRlVV2rFDt9yibFbJZKE3EX1E8DifqPnOTk2bpk8+UWmpuro0erR27tSoUYzzxYc/F84nCBSGqqjQxo2aOFFdXSop0YEDmjFDv/4aX9ujiBA8ehAEyuVUWanmZo0dq3RayaS++04PPaQjR+L/RbEgePQskVA2q1Gj1Nqq665TNqvSUnV06KmndOIEzRcTgkevJJPKZHTjjWppUWWlurpUVqbNm/Xss/F6e+aCigLBo7eiVTcTJqipSRUVOn1aqZTeeEPPP1/oLUOvETz6IJlUGGrKFK1fr8svVzarINCLL+rVVxUEymQKvX3oCbfl0DdhGJ/Dr1qlp59WNitJ2azWrVN9PTfnBztGePRNECgIlE7rsce0dKkyGYWhkkk1NGjbtnhBHgYtRnhciDCMv0WzaJFWrow7v+IKtbaqtlaZjFKpQm8izobgcYGiRXjZrObM0dtvq6RE6bSqqtTervHjaX6QInhcuKj5dFrTp+uDD+KFtzfcoI8+0pgxLLwdjAgeFyVq/tgxTZ2q3bvjL9iMG6f2dl17Lc0POvw1cFGixfZXXqnNm3X77cpkVFKiH39Ufb2OHGGx/aBD8LhY0ZV8dbWamnTzzUqnVV6uTz/VE0/oxAmaH1wIHv0gWng7Zow2bNCIETp1SuXl2rpVjY3xWT0XjoMEwaN/RAtvx4/X+vUaNkynTimV0ltvackSSQQ/WBA8+k208La2VmvWdC+8XbZML7+sRIKFt4MCs/ToZ9Hq2tWrNX9+fD6fyejNNzVvHpP2hcfuRz9LJJRO69FH9cIL8WMwk0ktWKDNmxnnC48Rvtfy3xpBT6KFt4mEnnlGr7wS35wfMkQtLbrvPqXTKikp9Ca6IvheiJ7YnEjEN5354ZVeyOXir9k88ojWrFFZmU6fVlWV3nlHd9zBwtuCIfieRN8RiQ7P335TZSXN91J+sX1dnd59t/uJt21tGjuW6/nCIPjzyn+9e88ebdqkY8e0aVP8Cs33QtT88eOaMUO7dnUvvN22TSNH8slZAAR/DvmDcdcubdigjg4dPixJTU164AFOSXsv2pGHD2v6dO3ZE4/zd96p1lYNH844P9AI/gz5687oIP37b9XV6YsvdPy4JF1zjRoaNGeOqqokRvg+iM6TDhzQzJn66SdVVKizU1OnqrlZFRU0P6DY05KkbFaZTDwtF60XkVRWpmRSx4/rppu0bJn27tXSpaqujj8U0GvRwtvRo7VmjUaNUmenysr0/vtqaOCJtwPNfoSP7hRHt4kOHlRrqzIZLVoUH4k//KDt29XYqNLS+P1cd16o6DKoo0OzZuno0fiBGY8/ruXLVV7OTh0gxsFHN4ujS/Gff1Zbm7Zu1fffKwi0c6dqa//vgYx03h+is/dt2/Tggzp5Urmcpk3T2rUaNkziImlAGM88BYFSKe3bp3XrtH279u2TpFRKs2ZpxIj4DbmccjmlUhyM/SL6BZv779frr+vhh1Vfr5UrNWQIH6cDx2mEzy+Vi46vX37Rc8+po0MHD0pSeblmz1Z9vWpqWAj2n4rOnL78UjU1TNoNNI/g8wN1JAr+9981YoS6ulRZqZkztWCBrr8+PvQYcf5j+R3Mnh5gl3rwZ87J/fmndu/WkCGaPDkeVpYt06FDWrJE1dXd72cSfkCwpwvi0g0+DOMHrEk6elQff6wtW/Thhxo3Tjt26KqrFATdp5IMNPBw6U7aBYFKSvTHH9qwQe3t+vzz+PWRI3XypK6+Oj7Pz+WUTFI7TFxCI3w0JxelGwQ6dEhr1+q997R3b/yGe+/V3LmaNEnDhxdwM4ECuiSCP/OOuv53t7etTdOmSVJ5uaZM0eLFqqnRZZcVcDOBgivy4M+8UE+ntX+/qqtVWRn/c/JkVVVp6VLddlv8fmaK4K1og88/VCV6bNJnn6mlRc3NmjdPr70WL+P86y8NHdr9frGYC+6KdtIuWieXy6mlRW1tamuLn5a2f78ymfj5qUOHxh8KjOqApCIO/uRJNTdr40Z99VX8i+S33qq5c3X33ZK6V3XkF8MDKMpT+ugZiIsXa/ny+JWaGjU2qraW6Xfg/IpwEXO0Wuaee1RVpYkT1d6ur79WXV38/BR+xww4tyIc4fO++UYTJnT/k9VyQE+KOXgx9w70TRGe0udxUx3ooyIf4QH0RTGP8AD6iOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/APA2CZA/KxdMwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "action": "('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQ0lEQVR4nO3dXYgV9R/H8c/MnJNrKKarqW2E5E1lD9riU14tGWotSWIoERWGIIRlaRcZYVpXoduF0U0WGKYV6IKWZi6oZZILGhUoehOlJkumuKvbw86Z6WLmv/uPP//atD0Pft4vvHH3KAfZ9/nO/H6/cwzSNBUAD2GlnwCA8iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIvlqkaaWfAQwQfOXFsSQFQaWfBwwQfCX19EjSmjVqalJ7e/5bYOAQfMWUSioWdfy4Nm3Svn2aOlWrV+dfBwZIodJPwFR2x97Tozff1HffKYqUpioU+r4FDIQg5eerEpJEYahDhzRnjrq6FMe6/Xa1t6uuTuJ+HgOGS/oKSFMFgX79VS0tOn8+/+Lq1Ro8WKJ2DCQmfAVkwX/yie6/X4WCeno0Z4527FAYUjsGFsFXQJIojjV9uo4cUbGoQkH79mnKlPyFABg4XNKXW3b3/tZbOnIkH++LFmnSJNbqUA5M+LJKU6WpOjp0zz36/nsFgRoatGuXJkxQqaQoqvTzw9WOCV9WpZLCUOvW6YcfFIZKEi1apFtvVRxTO8qBCV8+2Qw/fFgPPqgzZyRpwgS1ten665UkBI9yYMKXSe9Jmzfe0I8/5nkvXarRoxnvKB8mfJlk472tTQ89pO5upammTtWBA2zFoayY8OWQpooidXdr7VpdvKggUJrq1VcZ7Cg3gi+HbIZ//LF271axqFJJ8+fr3nv7vgWUB5f0/ZZtqYWX8xKZpuruVmOjTpxQEKhY1OHDuu02ieBRXkz4fkjT/D2rYXgZ52Oy83Pr1+v4cUWRkkTPPqsJEyRqR9kx4f9OqdT3ztWfftKoUf/oBGx2WXDmjCZO1LlzShKNG6e9ezVuHCdtUAG8H/4v9Ub5xRfatEnnz2vTpvzN6/1rPttgX7NGZ88qDBWGWrqU2lExTPj/ozfpPXu0caPa2tTRIUnvvadHHlEc5zP/L2WP+vJLzZ6tri4liRob9emnGjZMQXB5qwHAFWHC/5ckURDkm2ZBoIsXtXChPv9cnZ2SdMMNeuopNTXlm2x/J1vgi2OtW6cLFxSGGjRIy5ZpxIj8gC1QfgQv6c836r1X24MGKYrU2albbtGiRXrySY0Y8Y/+ykJBO3Zo61ZFkUolzZihRx/lYh6VZH9JnyT5p0lKOnlSW7cqjrV8eT6gv/pKu3ZpxQpdc03++P7dvWf/qJ2dam7WgQOKIkWR9u/XtGn522OBijCe8NlmW6GgMNSJE2pt1Ycf6sgRBYEmTtTMmSqVNGmSJk3KH5x13u/1+SDQtm06cECFguJYjz2madMkUTsqyTj4IFChoKNH9c472rVLR49KUqGgBQvU0JA/IEmUJCoU/tGOefbicO6cVq3KN97r6/Xii31LBEClOAXfe1QuK/L0ab30ktradPKkJNXV6fHH9cQTamzMr/CzWXy5E7mlRSdPqlhUT4+ee07jx/MJVqg8j3v43kGdyco7e1YNDfr9d40apYcf1rJlGj8+z/sK0sz+6PHjmjxZly4pSXTHHdq5Uw0Nl30wF/jXXO0TvndNLgx14YI++0xDhqipSUmikSP1yis6dUovvKCxY/sef2WX3dki/OrV6upSsago0tNP68YbWZxHVbh6J3yaKo7zi/Nz57Rzpz74QB99pIkTtXu36uv/dPblX7razk7a7Nmj+fN16ZJKJTU1aetWDRsmsVyHKnD1TvjsXWk//6yNG7V9u/bvz79+003q7s4/Vir7FUX/Su3Zi0ZXl1pa1NmpKNKQIXrmGQ0f3s+DecCAu4p+DLM1ud7Ns1OntGGDtm3Tt9/mD3jgAS1erBkzNHKkdKVrcv8r2+Pbvl179+ZrdTNnqrmZ2lFFropL+t4d9Ux2tKW1VfPmSVJdne67T88/r8ZGXXvtAD2F7N6/o0Nz56q9XWGowYN18KDuvJOTNqgiNT56em/Us//S4dgxjR2rUaMkqblZM2ZozBitXKm7784fP2Bb4dnf+v77am/Px/vixdSOqlOzEz6b6tk7TuNY+/ZpyxZt3qwlS/T66/lldFeXhg7te7wG6hMnspuJ06c1dao6OhQEqq/XN99o9Gj23lFdanbCZ+fkkkRbtqi1Va2timNJOnYs/9jnNNXQofmLwsAfcAtDvfaazpzJD9KuWkXtqEY1G3x3tzZv1rvv6uDB/POn7rpLixdr1izpP5O8f+9jvUJZ1V9/rbffVhQpjjV5shYs6PsWUD1qMPieHhWLWrVKa9fmX2ls1IoVmjkzX37vVZbasuXClSv1yy/5uuHy5aqv56QNqlENLihli2CzZ2vMGE2fru3bdeiQFi7UyJH5vnoZZbVv26a9exUEimM1N2vuXE7RokrV7KKdpPZ2TZnS99uyX0Bnry3d3Zo1SwcPKopUV6cdO9TUxN47qlQtj6EpU/L18UzZb5ezMb5hgw4fzj/TZt68/Jw+taM61fIPZkX3uLMFwThWe7t++02Shg/Xyy8rSS7jo+uBMqnlCV/Ru+TeI7wtLVq/XtddpyVLdPPNCgLW6lC9avkevpqcPq3hwzV4MPtwqGoEf6XYbEcNqeVL+upA7aghBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJE/AB2W6x1ljhpuAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "action": "('move', [-2.4689937450919177, -0.4531987718370991, -35.677179783096605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "916106e193a2efe3a2d4e6c10d34bda1e5cf20fd588303287b1c58100b058a0a"} +{"episode": 14496, "episode_seed": 2078418021, "split": "train", "timestamp": "2025-09-15T22:56:21.017770", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2078418021, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "action": "('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "action": "('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "action": "('move', [1.2317170404697697, -4.7002750437090945, -51.560690961705824])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKfElEQVR4nO3dW4ycZR3H8d/MbKnlEKsFG1opkdNCSdXWA00pLU0qJCiGQELkRkhMvBJpVNQLTbwhMUQDBowaYoxXEgghBJAbom0xSxuUcNAtihTaEFCbcjAErJ2d8eJ93S2HALZ7wv/nk02z3ZlOJ5v5zvM+7/u873SGw2GAGrpz/QSA2SN4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FjMz1E+DtDIftN53OnD4P/l8Ift4ZDtuvblfnTDPBzwvDYQaDtvMFC6Y6f/XVvPxynn02W7dmfDzXXpuVKzMYpGsqxmER/FwaDNqvkZH0eu0PDxzInj3ZuzePP56xsYyN5bnnkqTbzcaNgueICH4ONIN5kl5vKt0//zmPP57x8fzxj3n00fzlL1P3P+qodDo5cCD335+rrpqa2MP/SvAz7s073iYj37s3O3Zk586Mj+fpp/PUU+n325t6vXQ67V///e8kWbUqH/tYexMcHsFPv6bw5s8373jbty+/+122bcuDD+b557N/f1599S0eZGIiSU4/PRs3ZsOGrF6d44/PkiXtY8LhEfy0aTbUB4N2Q32y81deycsv55FHsm1bfvOb7NqVAwfant9gwYIce2yOPz5r12bTpmzYkOXLs3ChffVMG8EfkabwwSBJFixI/ru9vX9/nnsuu3dnx46MjeXBB3PwYPtP3jA+dzpZtizLluWss3LuuVm/PitXvsX/Mhy22YufI9EZ2gX0v5s8itbMtBv//Gd27coTT+RPf8rDD+cPf8hLL7U39Xrp9dqpeGP58px1Vs48M6tWZc2arFkz9UYgb2aO4N+VQ39Jb4jwoYfy+9/n4Yfz5JN58sn2EFrjqKMyMTG19b54cT796Xzyk1m1KqedltHRHHfc1OP3++1EwBSdmSP4wzE+nm3b8sADGR/PP/6Rv/+93apP0um87t1h4cKcc07OOy/nnpuPfCRLl+YDH5i6tdnO73YtqmOWCP6d9ft57bU8/3y2b8/WrRkby759+de/pg6hHWrhwixalNHRnH9+Nm3KmjU59tgsWjR1h+EwExPpdAzmzAE77d5Ov5+Rkdx1V77xjTzzzNTPu92pIT3JMcdk6Qf7y07qrV3XWb8+69e3x88O1dy/6XzEb5054qX3zg4ezN/+1u6EbzbCm8WwZ5yR00/PmWfmU58YfOqCkRXvTzJMOnmrOb/BnPlA8G+nqXTdunzoQ9m7N0nOOCOrV+fjH8/KlRkdzehoe8fc/qv+Zz6Xxcd1+4NOr2tCzvxkDv8OBoN0OrnuuixcmHXrcuKJWbYs73vff289ONEf9rq3/Ky75avdjRvys5/m1FPb8V30zD+Cf1cmJl63gr3ZXdftDDsZdnrdbNmSH/0oSU45JTfckM9/PomT2piHvCLflab2iYl2vc3ISEZG0u11Or1uBoPceGN+/OMsWZLdu3P55bnuurz2Wrpd57Ux3xjhp88DD+Tqq/Poo0nyhS/k+9/PySfP9XOC1xH8NGk2+p99Nl//em67LUlWrcp992X58qmFsjDXbNJPk14v/X4+/OH88pe5/vqMjGTp0hx99NRWvTdW5gEj/LSa3Ll3//1ZvXpq/U0zyNt7z1wzwk+rXq+tevPmLFnSnjezfXsuuSQ7drSpH7pGD2aXEX5mTF5out/P5s3Zti0nnJAf/CBf/GLypqN8MFuM8DOjWTTfnCjz5S9nxYrs25crr8zXvpaXXkqv99aXvIEZZoSfFY89li1b8tvfJsn55+fmm3P22fbeM/uM8DOv389HP5o77sg11yTJ1q258MLcfvtcPy0qMsLPislJ+89/nm9+My+8kLPPzkMPZdGiqU+igJlnhJ8Vzd774TBf+lLuuSfr1uUnP2lr73YzMmJKz+wwws+uQ8+oab7fsye7d2fTpva8PLN6ZpIRfnY118pprnqb5MUXc+21ueyyXH99e10777/MJMHPuskRvtvNK69k1668+GK+9a1ccUX272+blz0zQ/Bzobl+5WCQ5cvz61/nkkuS5NZbs3lzdu60Yc/MEfzcaS5PfdJJufPOfPe7OeaYPPJILroot9ySgwcN8swEO+3m2uTymzvuyLe/nb/+NUm+851873uW3zLtjPBzral9YiKXXZY778wFFyRpP62imcx7R2b6GOHnjeYi+Pv3Z/v2XHzxG5fiWIfLdBD8fDK5IG/yI+Z/+MPs3ZsbbmgX59jI58gIfp6Z3IbvdrNzZ9auTZLPfjY33pjTTnMlXI6QV8880xyxa47Gn3hirroqSe69NxdemPvuUztHyAtoXmqm6ytW5Be/yE03ZfHi7N6dSy/NTTclsfCewyb4+arTaU+k+8pXcvfdGR3NgQM5+ui5flq8t5nDz2/NqvteL3v2ZGwsV1xhdz1HQvDvBfbVMU28jN4LfGoV00Tw7xE245kOgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQv4DyXl37dw4A9MAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9454a6e88f286a7af4d1c14e18eb8e55990ff059d278748f5ed43259729e58d2"} +{"episode": 14497, "episode_seed": 2887202547, "split": "train", "timestamp": "2025-09-15T22:56:21.992816", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2887202547, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "action": "('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJR0lEQVR4nO3dT4ycdQHG8WdmWpusdku7oAdCSIhN9OhdghEOvYlcUMLBGAIHQU0IBw2NBvwTTQgYDSFEDQnG2MSDF4kGDppw4MSBxIuknEiQpi21rtS2OzMeZpitIG2Bws7u8/nkzebdvM3su939zu/9ve+7M4PpdBqgw3CrdwD46Ageiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigie/2M6zXS61TvBh2DXVu8AW2PR84VhL9ZHo496f/hoDKaeybeti//oBoP3/8jnz+f8+aysZDr9QI/DsjHCL6N3Dr8Xtj0YbC6XbzKZH6ifP5+TJ3PiRI4fz/HjOXkyx4/nxInN5Y03cvZsbr89P/lJxuPs8juyg/hhLpHpNBsbGQ4zHM5jvnjS4/F8KL5wOXNms+fZymx9Ufjp0xmP5/FfZK5+9OiV/wbZcoJfIoNBdu+er587lzNn5subb26u//vfeeONnDw5/3jyZE6dmg/Ls+WSX2L2bDIYXOLM3MsvJ8lkcoW+N5aD4JfCbKr86qv59a+zvp5Tp3L6dP75z82Ps5WLmz1fDIfzB5xM5iP5277QeLz56XCY1dXs3Zu9e+crq6tZXc0nPpHPfCZx9m7HcdJuKYzHGY3y/PO58cZ3/TeDQUajDIfzkXkyufTwu3///yxXXbW5vm9fPv7xrKxkZWW+svh0cZTBzmOEXwqzufq+fdm3711H8tkMf2Y0ytVXZ20ta2s5cGBzfbFcdVU+9rHNZc+e+crljNizp5LpVPk7kOCXyMpKbrgh//hHVlayf/8840XMV1+9ub66ml27MhzOx/zFSb7LMTs6WBzYve3s4Gx678z8TuWQfolsbGR9PXv3fqCZ8+zn+baeL+S6ejPBL6MLJ+eK5QoS/HJxZxsfKn88s1zUzodK8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8Cyl2TvpedOEK80bUbDcvDXHFWWEZ8nMRqD19Rw5knPnMhhc+m2xuWyCZ/mcP5/Dh/O1r+W++3LmTIbDjMdbvU87hOBZMrMD+Ndey3/+kyefzB135MSJjEbm81eE4Fky02l2785TT+Xee5PkD3/Il7+co0fN5K8IJ+1YPosTdQ8/nIceysZGbrklzz6bySRDQ9QHsmurdwDeYTDIdJrpNIcPZ//+/OIXuf/++abJJIOB0f59M8KzrGbND4d5+eUcPPh/tsr+vXOAxLIaDDIcZjLJwYMZjzOZZGMj99yTxx6bbzVWvXcO6Vlus+an04xG+fnP8+STGQxy+nS+853s3m1W/175z2LpDYcZDjOd5uab84UvZDrN976Xb34z//qXS/TvlTk828RsMH/99dx7b37/+yS57bY88USuucY4f/kEz/YxC3t9PQ88kCeeSJKbbsrTT+e665zDu0yCZ1uZNb+xke9/Pz/8YZJ89rP5y1/yyU9u9Z5tDw6E2FZmk/ldu/KDH+RnP8vqaj7/+aytJclkYj5/SUZ4tqHFAfxf/5rPfS6rqxmPMxolyXic4dDh/bsRPNvWIvvZynPP5ZVXcvfd7sa7CNfh2bYWfyo/HObFF/PVr+b48Rw7lgcf3Oo9W17m8Gxni6P3tbV8+tNJcvhwvvGN+VZHr+8geLa52Th//fX54x/zpS8lyeOP5ytfyZtverWcdxI829/s1P2BAzlyJF//epIcOZLbbsuxY/NNvEXw7Aizv6XZsye/+lUeeCBJ/vznHDqUv//dOH8hwbNTzJqfTPLTn+aRR5Lk2LGcPTvfapxP4rIcO82s+dEov/1trr02N930P3fd1t+BK3h2nMUrZ+StW3FPncqLL+aLX5xvLW7eIT07zuyVMxbZnz2bb30rt9ySH/94PpkvntILnh1qcbPd+npeeinTab773dx/f86dm7+oRiXBs9OtreVPf8qhQ0ny2GO5666sr9derhM8O910mk99Kr/7Xe68M0l+85vcfntef73zcp3g2ekGg4zH2bcvv/xlvv3tDAZ55pncemv+9rfCV8gSPAVGo0wm2bMnjz6aH/0ou3fnhRfy3HNJ3fV5l+Wosbgg9/jjOXp0fnNO2VU6wVNm8YqXs9/8ptojeBqNx/Nr9X0ED0Uan+SgluChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyH8BHjZke6bXTEgAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJR0lEQVR4nO3dT4ycdQHG8WdmWpusdku7oAdCSIhN9OhdghEOvYlcUMLBGAIHQU0IBw2NBvwTTQgYDSFEDQnG2MSDF4kGDppw4MSBxIuknEiQpi21rtS2OzMeZpitIG2Bws7u8/nkzebdvM3su939zu/9ve+7M4PpdBqgw3CrdwD46Ageiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigie/2M6zXS61TvBh2DXVu8AW2PR84VhL9ZHo496f/hoDKaeybeti//oBoP3/8jnz+f8+aysZDr9QI/DsjHCL6N3Dr8Xtj0YbC6XbzKZH6ifP5+TJ3PiRI4fz/HjOXkyx4/nxInN5Y03cvZsbr89P/lJxuPs8juyg/hhLpHpNBsbGQ4zHM5jvnjS4/F8KL5wOXNms+fZymx9Ufjp0xmP5/FfZK5+9OiV/wbZcoJfIoNBdu+er587lzNn5subb26u//vfeeONnDw5/3jyZE6dmg/Ls+WSX2L2bDIYXOLM3MsvJ8lkcoW+N5aD4JfCbKr86qv59a+zvp5Tp3L6dP75z82Ps5WLmz1fDIfzB5xM5iP5277QeLz56XCY1dXs3Zu9e+crq6tZXc0nPpHPfCZx9m7HcdJuKYzHGY3y/PO58cZ3/TeDQUajDIfzkXkyufTwu3///yxXXbW5vm9fPv7xrKxkZWW+svh0cZTBzmOEXwqzufq+fdm3711H8tkMf2Y0ytVXZ20ta2s5cGBzfbFcdVU+9rHNZc+e+crljNizp5LpVPk7kOCXyMpKbrgh//hHVlayf/8840XMV1+9ub66ml27MhzOx/zFSb7LMTs6WBzYve3s4Gx678z8TuWQfolsbGR9PXv3fqCZ8+zn+baeL+S6ejPBL6MLJ+eK5QoS/HJxZxsfKn88s1zUzodK8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8Cyl2TvpedOEK80bUbDcvDXHFWWEZ8nMRqD19Rw5knPnMhhc+m2xuWyCZ/mcP5/Dh/O1r+W++3LmTIbDjMdbvU87hOBZMrMD+Ndey3/+kyefzB135MSJjEbm81eE4Fky02l2785TT+Xee5PkD3/Il7+co0fN5K8IJ+1YPosTdQ8/nIceysZGbrklzz6bySRDQ9QHsmurdwDeYTDIdJrpNIcPZ//+/OIXuf/++abJJIOB0f59M8KzrGbND4d5+eUcPPh/tsr+vXOAxLIaDDIcZjLJwYMZjzOZZGMj99yTxx6bbzVWvXcO6Vlus+an04xG+fnP8+STGQxy+nS+853s3m1W/175z2LpDYcZDjOd5uab84UvZDrN976Xb34z//qXS/TvlTk828RsMH/99dx7b37/+yS57bY88USuucY4f/kEz/YxC3t9PQ88kCeeSJKbbsrTT+e665zDu0yCZ1uZNb+xke9/Pz/8YZJ89rP5y1/yyU9u9Z5tDw6E2FZmk/ldu/KDH+RnP8vqaj7/+aytJclkYj5/SUZ4tqHFAfxf/5rPfS6rqxmPMxolyXic4dDh/bsRPNvWIvvZynPP5ZVXcvfd7sa7CNfh2bYWfyo/HObFF/PVr+b48Rw7lgcf3Oo9W17m8Gxni6P3tbV8+tNJcvhwvvGN+VZHr+8geLa52Th//fX54x/zpS8lyeOP5ytfyZtverWcdxI829/s1P2BAzlyJF//epIcOZLbbsuxY/NNvEXw7Aizv6XZsye/+lUeeCBJ/vznHDqUv//dOH8hwbNTzJqfTPLTn+aRR5Lk2LGcPTvfapxP4rIcO82s+dEov/1trr02N930P3fd1t+BK3h2nMUrZ+StW3FPncqLL+aLX5xvLW7eIT07zuyVMxbZnz2bb30rt9ySH/94PpkvntILnh1qcbPd+npeeinTab773dx/f86dm7+oRiXBs9OtreVPf8qhQ0ny2GO5666sr9derhM8O910mk99Kr/7Xe68M0l+85vcfntef73zcp3g2ekGg4zH2bcvv/xlvv3tDAZ55pncemv+9rfCV8gSPAVGo0wm2bMnjz6aH/0ou3fnhRfy3HNJ3fV5l+Wosbgg9/jjOXp0fnNO2VU6wVNm8YqXs9/8ptojeBqNx/Nr9X0ED0Uan+SgluChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyH8BHjZke6bXTEgAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "action": "('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "action": "('move', [2.4053976913397914, -1.4004776056145634, -15.421297973081778])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKiklEQVR4nO3db2xV5QHH8d859952hASYFdQUJkwy1kgQE7fphiETNST+wQILsBB0/AtECRgiMwy2bCuYoAjOpM6lRSMEWzEa4yqaFIN/2HyhaCTsBYgx0REpDBUaurb3nLMX93ApLhJaCrft7/t51fTS5qTke8/zPOc55wZJkgiAh7DUBwDg0iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8OihJCn1EaD7CB49FARKEsVxqY8D3UHw6Ik4Vnu7gkBhqHye7PsNgkf3FEbyJ09q4UI9+qgOHVI2qzBURweD/H4gSPhfQnckiYJAr76qu++WpKoqzZunWbM0ZowkRZEymdIeIM6F4NFtbW267jodPKhcTp2dknTttaqu1rJlGjEi/TeF9wX0NQzp0W1lZVqyRJWVae3ZrPbvV02NbrxRq1fr+HFJae3M7fsazvDooePHVVenp57SZ59JUiajKJKkESP0wANatEhXXikp/Sbj/D6C4HFBTpzQk0/q+ee1f7+kM4P8yy/XypWqrta4cZLU2alMRiEDylIjePRccaJ+9Ki2bNGOHfrgA0kqK1NHhySNHKkFCzRzpsaPl6R8XpkMc/tSInhckCRRFCmblaTPP9crr6i+Xh99JHU5248dq2nTtHSprrkm/RGJ7EuD4NEL4lhRpFxOkg4fVlOTHntMBw5IUjarfF6SRo/WnXfq4YdVWXnmpxjkX2IEj14Tx0qSdH3um2+0Y4c2bNAnn6TfLKzeDRum+fO1YoVGjZKUbs5lSe+SIXj0sjhWEKQj9vZ21dXp6ae1b5/U5Ww/eLCWL9fcuaqqkqR8XkFwdvaFqQIz/t5G8LhYikt6bW2qr1dDg/bskaSysnT7/dChWrpUM2bohhukwpJeqCD8jt+C3kDwuLiKm22/+kovvqht2/T221KXJb2rrtKMGVqwQBMnSlIcJWEmUGurmppUXa2yMub6vYjgcdElifL5dEnv6FE1N+vxx/X++1KXQf7IkbrtNv12lcb9OJHyenBVUvtX3XdvsHmTBg1ij35v4Y0TF10QKJdTHCuf1/DhmjNHu3bphRc0YUK69zYM9cUXeuYZ3fRzLVgUHPyX1PJlEP03+NvT0Zy5yX+OK5PhXrxewRkel1SxcElRpMZGbdyoffvSrXhRJCnJlQeL7+1cfPj3E978i06din9xc7Ll2cyPfljSAx8gCB4l8K29N1u2aOtW7d4tSbmc4iiJ4qBsuJYMemn2vzfdFL2ru36Zf+nNUHGYZUx6QQgepVS8htfersZGNTRo505JKssp35mPlR2aaf1VvH3e2tE3//F2KY6iMAySIGTdvocIHiXWdUnvxAk1N6u2Vrt2SVJG+UhZBRoxRlN+phUP6qc/iVl4uhAEjz6ha/YnT+qdd7Runf7xTymJQ0WxQin4fkU4Zdje3y08MnHV7QozXKLvAYJHH9J1p20ca+dOrV+vDz9UW1v6kFwpCtXx60lfrmsY84NKJfk4YFbfHfyx0IcUNtgmiZJEYag77tCePXruOU2Zkp78c9mMsoP+/u7gE8vWJCdblQ3TPfo4PwSPPqe4Fb9wwp85U83N2rpV06erM5/Eec1T3fiX1yX3/SY4dlSZDE/SOn8M6dHXFR+S1dmpnTu142Wt0x9GPfunQNLkydq6VaNGMZ8/TwSPfqDrYzbaO5LypF01NapZJ0lVVdq9+8zjcnFODOnRDwSBstk0+/KyICn/nv5coyee0JAhmjRJFRXS6adw4Jw4w6OfSRIFOj2Af+stXX+9hgw5c3dNFCkMGd5/F4JHv1Wctxe+aG7Wp59q8eKzHsGBs2VLfQBATwXBmXtx9u7VnDk6dkwtLVqzptRH1ncxh0d/Vhy9V1Ro7FhJWrtW99+fvsro9f8QPPq5wnn+6qvV1KRp0ySptlazZ+vUqTNDAJxG8Oj/wlBJossuU2Oj5s+XpMZGTZ+ulpb0JZxG8BgQClvty8tVX6+HHpKkN97Q1Kk6cIDzfFcEj4Gi0Hwca8MGbdwoSS0tam9PX+U8L4nLchhoijfcbd+uykpNnnzWrlv7HbgEjwGneLedTn+c1ddfa+9e3XJL+qpx8wzpMeAEQbpWV8i+vV3Ll+vWW/XII+lk3nhKT/AYoIqb7Vpb9fHHShKtXq2VK9XRoTC0bZ7gMdBVVOj11zV1qiRt3qyFC9Xaanu5juAx0CWJrrhCDQ2aO1eStm3TrFk6csTzch3BY6ALAkWRhg5VXZ1WrFAQ6LXXdM892r9fod0TsggeBgqPwSov16ZNWr9euZzee0/NzZLd9Xkuy8FG8YJcba0OHUo355hdpSN4mCl++PS3Pu/KA8HDTxSl1+r9EDxgxPFNDrBF8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wEnBsVqJn4fRwAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6fa1f4ced9070deabd34f41216155622c8b173238a8894c6fb7182cf5bd58f01"} +{"episode": 14498, "episode_seed": 2366637491, "split": "train", "timestamp": "2025-09-15T22:56:22.620096", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2366637491, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "action": "('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKeUlEQVR4nO3d3+uedR3H8dd13/vVQhDyCxpYQYHMkkwycHPaTxlEucJqUUIF0sEONJAOOsg/QQ+EPNhBHaVrBiEVKqaxZeWKZZoxRplMUbKoGLq53fd1dXBd/qKZuH23+8f78TjavkfXYM/v53Nd1+fzuZqu6wLUMJr1BQBnj+ChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeCikRfNtmMknbzvo6YNaarutmfQ1nz3Sa0ShNM+vrgBlZ8hG+bdN1efzx7N6dv/0t43GaJpV+xcHrLHnw02maJnfckS99KZ/7XG6+Of/5j+apa5mDb9usWZO//z2PPprxOH/4Q+6+O+vXp23N6ilqyYNvmhw4kEceSdtmPM7Xv54NGwzv1LXMwY9Gadv86lc5fjxNk/E4n//88HOoaWn/73ddRqP885/52c+SpG1z8cX5wAeSmM9T1zIHn+TgwRw4kPE4Sb785XSd+TylLW3wo1G6Lvfem7Yd5vCf+YyxneqWM/h+GH/xxfzoR0kymWTr1rz73bO9KJi95Qw+Sdflscdy8GDWrk3X5brrsnFj4gae2pY2+KbJnXcmSdtm48Zs3pwk0+lsLwpmbGmDP3Ei99yTJNNprroqF12UeCFHeUtYQL/eZt++HD48TOA/9rGcc86wzBYqW87gk+zenckkSc47L5s3eyEHSbJm1hewyrou43GOHcu+fUPhl12WD384yfA2HipbthG+fyx333156qkkGY1yxRXZsCEnTpjPw9IFn6Rpcv/9OXIkSd7xjnz604nhHZIsWfD9ftjnn8/+/cNP3ve+fOhDw0E3wFJ10D+u+81vcuBAkjRNrrkma9ak68znIVmyh3b9+vmHH87x4xmN8ra35QtfSMzn4WXLM8L3m2SefTb33jv8ddOmvP/9ieW08LLlCb735z+/uh92x44kXr/Dq5Yn+P58mwceSNOkaTIa5dprZ31NMGeWJPh+GD9yJHv2pOsymWTLlrzrXYn5PLzGkgSfpOvyxz/m0KGsXZskO3YMfwBesSTB99P4/riLts369dm6NU3j81LwOksSfJKXXspPfjJE/qlP5T3vSczn4fWWIfj+Bn7v3jz99PBVmU9+0n5YOIllCL7fMHPnncMe2JWVfOQj9sPCSSz8Srt+P+wLL2Tv3qHwyy/PZZcNX54AXmvhR/hX9sM+80ySNE02b8769cPXZoDXWvjgkzRNfv7zvPBCkpx/frZtS6yfh5NZ7OD7/bD/+Ed+//vhJxddlEsvzXQqeDiJxQ6+n88/9FCeeCJJRqN8/OMZjz2ug5Nb4OD7z0UmefjhHDuWJOeck+uuS8zn4Q0sdvDjcQ4fzi9+kSRNk02bsmnTcEw18L8WO/gkjz2WRx8dpvFf/GJidR28sQUOfjzOdJqHHhr+unZttm+f4eXAAljU4Pvh/V//yt13J8l0mi1brJ+HN7Gowfcefzx//eur+2HjfBv4vxY1+H4Y37MnSabTrFuXq68eds4Ab2RRg09y9Gh+/OMh8m3bcuGFifk8/F8LGXw/jO/bl2efHY6m3rYtb3+7F3LwJhYy+P4cmx/8YKj9vPNy+eWJG3h4Mwu5Pbafxj/33FD+5s255JJXF94Bb2Qhg+/D3rMnhw5l165hP+xkkjUL+a+Bs6fpzIOhjAWeBDvECt6qBZ4EeyAPb9UCj/DAWyV4KETwUIjgoRDBQyGCh0IWJ/i29dodTtOCBN8vlG+a4WBq4JQsQvBdl6bJ00/nyBEHUMPpWITg2zZHj+aGG/KVr2TfvsQ+WDhFcx/8iRMZj7N7dx58MPfck0OHEsHDKZrv3XL9ETbPPZft2/PII/nEJ3LffXa9wymb73j6u/cf/jC/+11Go9xyy3DGDXBK5jj4ts1olL/8JbffnrbN176WK65QO5yOOQ6+adI0ueOOPPlkVlZy001Zs2YY84FTMq/B92Hv3Zvbb0+SG27IxRdnOnUDD6djXg/A6IfxDRuyspLRKN/85vApOeA0zOtT+uk0TZPRKIcP59//Hk6lNZmH0zOXwfeP6177B2A1zGVOo1H278/Bg17Cweqas+Cn03RdDh/Ojh259to8+KAPRMIqmqeHdv1detNk1648+aRPycCqm6ei+sL/9Kd873vpunzrW7n66sR51LBq5in4fvZ+2215/vm8853ZuTN5+cORwGqYm+D7G/Vf/zrf/36aJjfemPe+16s4WF1zE3x/9/7d72YyyQc/mOuvHz4lJXhYPfMRfL+EbteuPPBA1q3Lzp254AILaWHVzcdT+j7sLVtyzTU5ejRf/WomE6dZwaqbj5V2/Qg/Huf48bz4Ys49d8bXA0tqPoLvvbKQ1q07nBkzvUnuf9dMJrnrrtx/v9rhTJvpCN8P6fv358ors25dfvrTXHWV4OHMmd0I36+re+ml3Hprjh/P+ednZWVmFwM1zPq91y9/mbvuymiUb387mzYNx9QCZ8bsgm+atG1uuSVtm61bs327XXFwps10hJ9O89vfZuPG7NyZlZVMJlbawBk108D68y0++tF89rOZTLJ27SwvBgqYafDHjuXcc/Od72T9erfucBbMNPimyTe+kS1b0rYW0sJZME8r7YAzzEMyKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfwXMnBmn8qhPDoAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "action": "('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "action": "('move', [-2.0814155551351923, -4.717391230897276, -5.405917736774039])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ1klEQVR4nO3dS6xcBR3H8d+Zub0VNfYWU0VTIjE+gpj4LAsKiKkYjKIosUYjAsZCQlEjGhfGSKJbDQsxihBifMUSpSwUm0CJINRQIxENkFCSoripkfDyUcqcc1ycG1cI9PaWmeH/+azauzqb7/zP4z9nmr7vA9QwmvYBAM8fwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIS+Q4Ps+Tz2Vtp32ccBsa/q+n/YxrKauy+gF8iEGq2/u4xim+q9/nQsvzG9+o3Z4JvM94fs+bZuFhZx7bq6/PuvW5T3vydVXZ/16ox6exnw30XVZWMgdd+SOOzIe57HH8sgjWVpK26odnsbcZ9G22bkzBw6k77O4mMsuS9NM+5hgVs3xKX3bZjzOvn3ZsiV/+1v6Pm9/e/buzWikeXh6czzhh5P2G2/MQw9lPE6SSy/NeJy5/QSDo25eJ3zfp2nyyCM57bTcd1+SbNyYP/85L3vZtI8MZtgcT/gku3fnnnsyHqfrcsklaodnMa/BN026LldckSRdl3XrsnXr8r+B/2dh2gewEsNVyO23Z8+ejMdp22zblo0b0/eexsEzmcs+hgv4b34zTZO+z9JSPvShrFljvMOzmL/guy5Nkz/+MbffvvzfM8/MySdbrYNnN3+JtG2aJt//fh59NEnWrs3WrVlcXP4gAJ7BnF3DD5vzDzyQXbuWr+Q3bcr732+8w3MyZ5UMV+8//3n270/TZM2afPSjOeYYwcNzMk+VDF+V+fvfc/31SdL3Of74nHde+j4Lc3amAtMxT8EP5/A335y77lou/OMfz/r1dmnhuZqb4Ps+43GeeCI/+lHaNl2Xl7wkl1zi2Tschrlppe/T97n77uzatfzI/fzz8+pXuzMPh2Fugh++9HrllUnSdXnRi7JtWxLn83AY5ib4JPffn507MxqlbXP22TnxxCQmPByG+Qh+2Jm98socOrRc+Kc+lbVr7dLC4ZmD4Idn7wcO5Lrr0jRp25xxRk45ZfnvwHM3B8EPu7RXX50DBzIaZTzO1q059thMJoKHwzPrwQ9j/PHHc911SdK2OemknH328lM64LDMevCTScbj7NiRffvSNBmNctZZ2bgxk4nH73DYZjqa/y3b3HBDDh5Mkpe/PBdfbLzDCs108MPvSezZk927Mxql7/v3vS+vfa3tOlih2e1m+ErMZJIdO/Lkk0myuCafu7R1cx5WbKaDT3LvvfnFLzIape+6d5/ZvGPTuGkEDys0u8GPRum67NiRxx/PeJQ+oy/+8+v9b2/pY58WVmhGgx+KfvjhXHVVRukmk7wzezffdnlz/74mgocVmtHgBz/9aR5+OOOm65t8Nt865vSTuwu3JXHLDlZmdt8UM5nk29/OqGknGZ/U3Pfu3NZ844f9aGSlFlZsFkflsEv7k5/kwQeTvutHzce67x1//qntKVsaJ/NwBGYx+CSHDuXaa9O2bTdeszEPfXjDXbnsS1kYNcY7HIGZC37Ypb3llvzhD2mSjHJW+7M3f+Zt7ZveOR4WcYCVmq1+/rdC9+Mf51//6rI4Xnrqr5943f256KLeMi0csdkKfni9/N69ufnmNM2on2TTppe+66bLJie8ecECPRyxmbtL37bZuTMHDmQ8Trpu+1ePHZ1wbN8mY5fucKSafmbuew/jff/+bNmSB/+SdP1Jm5o/3Zl4cR2skhk6pR+qvvHGfv/+bmHU903zhVPuljqsolk5pR8etx08mBt+2aRpnkqO7x845yMLSSQPq2VWJnzTJF23uJhrP3/PVQuXvmKy/+IP/GP96a9PFA+rZoau4dP3aZLPXpTvXPPYK994zK27Ft/wmnRedgGrZlZO6Ze/ALfnd/13f9D0zbovXJA3nGBtHlbXzAzP4b0WX/ta007y1rfkvAuWf01O8LB6ZiP4tk2Sa67J7t1ZXMz27XnVcbFIC6ttNk7ph7A3b85735v//Cef/OTySj2wqmbjpt0w4cfjHDqUf/87S0tTPh54gZqN4AfDql3i0h2OkqleJA+fNcObqG+6Se1wtE11wg8j/fe/z6mnZnExv/pVTj9d8HD0TG/CD999f/LJXHFFDh3Kccdlw4apHQzUMO3nXrfemh07Mhrly1/OiSem64x3OHqmF3zTpOty+eXpupx2Ws45x9vm4Wib6oRv29x5Z1784mzfng0b/AQ0HG1TDWx4yfwZZ+SDH8xkkjVrpnkwUMBUgz94MEtL+cpXsnatS3d4Hkw1+KbJpz+dzZvTdRZp4XkwS5t2wFHmJhkUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/gvmbjmy7e6szQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "626df94992a334bb6c0d0a64533d2d68694ceef69e43a76280dc13f2ecec6cc2"} +{"episode": 14499, "episode_seed": 2078492472, "split": "train", "timestamp": "2025-09-15T22:56:23.247949", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 186, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2078492472, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "action": "('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "action": "('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "action": "('move', [3.369874721771818, 4.329665924890018, -34.060354401912285])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIzElEQVR4nO3dXagndR3H8e/M/M/Z1YJV8GGTUMQtLxS3K1uU6KLEEslg8WKtFMnykbV1cw2yEhIiUtMUpQ0NTdBddXclxAeICDK6CRS69FazCxFBZc85/5np4n9MCEvbzPPweb1uz81wmPf5zsxvfnOacRwLyNCu9AEAHx3BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5C44MexptMax5U+DlgJzZh07o9jNc1KHwSsnKAJP6v97bfrqafq8OEaR3OeOCnBz9peXKxdu2rHjrrjjuVRr3miBF3ST6d16aX1yCPVNDWZ1J131jXXuMgnS8qEr6rJpLZura6rrqulpbr22uGhh6ppqu9X+sjgo5IS/OyO/aab6ubvVz/U/Hw1TXvlt4dDB8euq+l0pY8PPhJBl/TjWMNQQ1+7vzvefXczN1d9X8ds6vfvb7/wxWYYqk3560euoOCrahhqHOvw4br6qvE3DzddV30/bj6xDh5qtm0rzbPuZQVftVz1W2+NX9sxPvnbdjKp6bROOqmefrrOOquGvtpupQ8R/m/igq93FuTferMu+srwu9+38/O1uFhbttQzz9Rpp5nzrGeJp3bT1DDUxz5ej+xrt22rxcWam6uXXqrtX+1feWVs2xo8t2edSgy+qtq2hqGOP74efbTOPHNcWqrJpF78a3fx9vHll6vtrNWxPoUGX1VtW31fp5xSBw82p39qmE5rfr7+9Of2W1eMr702zv4iwDqTG3xVdV31fW3ZUvv2N588qV9crA0b6ulnmuuurbffrrb14i3rTXTw9U7zWz/T7NvfHXtMv7BQc3P16L7mhhtqGKppNM+6kh58VXVdjWOdc27t299t2jQsLVXX1d69tWfP8rq95lk3BF9Vy5P8vPPq/vvbTZtqHKvr6vbbx1tvXb7V1zzrg+DfNZ3W9u11223jhvmqqvn55pZb6q67ajIx51knEl+8+XdmX7+am6vbbqs9e6ppquuqbeu+++ryy5dv6e2lZU0z4d812yff97V7d918cw1D9X0tLtaVV/b791moYz0w4f/VPz+JsWtX3XlnzV623zDXHzjUXHBBO53WZLLShwhHSvDvbZb9Fd8c73+g5uaapaU6dlP/5JPt5z7f9H11NtiwNgn+vc02zy8u1GXf6B870Ewm7XRanzhxOPRkc/ZnNc9a5R7+vc2ez208qn71QPel88fpdJybq7/9vb1kx/jiCz6Sw1plwv8ns0n+xht10YXTP/yx27ChWViorWeNjz9RW7aY86w9gn8fs+3xr75aF365/8sL3Wzz/Lnn1uOP1+bNNs+zxjhb38dsNW7z5nrsQHf6p4fZ5vnnn6/LLqvXX7fBhjVG8O9vVvWpp9YTB9otW5Y3zz/3XF1xRb35ZpX/ZsHaIfgPZPb5+jPOqAcfbE4+uabT2rixDhyo63eOs6d33slhTRD8B9W2tbRU55xTe/fWccfV4cO1cWM98Ou66cahaVzbszYI/oNqmpqbq+m0zj+/7r13PProOny4JnPNz++qH/5gKBf2rAWC/+9MJjUMdfHFzT33DPPzYz+tpm1/fGv99CdD21qcZ7WzLHckZi/e/uKuYdeupmmbcaxh6O+9u7n6utbiPKuZCX8kmqam09p5fXvLj8a+H6uq67rv7BoffqjvfPGWVcyEP0LjWH1fbVvfu7H/2R1N17XDUEdtHB98qLZvb4bBnGc1EvyRmy3FNU1de9X0vr3LL96ecEI9+2xt3VqaZxVySX/k2nZ5j829v5x8/ZJhYaEmk9q5s7ZuXf4prDYm/P9q9gBvYaEuvbTOPrt2715en/MxLFYhwX9oZhtpPKVnNRP8h2P2WxxHV/Ksak7PD8fsAl7trHLO0A+Nm3ZWP8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8ANgwbuSOsz6cAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c83263c2f5425a293e28b26041b54534337daed31f2b8a0c9538a7cbcd812be7"}