diff --git "a/train/batch_000386.jsonl" "b/train/batch_000386.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000386.jsonl" @@ -0,0 +1,100 @@ +{"episode": 38600, "episode_seed": 3515104652, "split": "train", "timestamp": "2025-09-15T23:24:37.293957", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3515104652, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "action": "('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/0lEQVR4nO3dXYhW1QLG8We/7zulYMaolUZZHUUzNBGkQg0rs6YcHKLCEEYw+iCiICy6KOoqSINgirLEPvBiqCS0QsEsKw0tISii0jADM42yMT8u1N6917nYa8zxnKOdU8c9ez//39U4zsUS/L9r77XX2pOEEATAQ63oAQA4dQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRkoffAgKoehBACXRKHoAf0kISpKiBwGUR7ln+CRRT49Wr9bWrZKY6oGTKHHwaarnnlNbm2bN0osvqtksekBAv5eE0k6LzabGj9fWrWo0dPbZ+uQTnX++sky1En+IAf9fZY0jBDUaeuIJSUoS7dqldevi1wD+k7IGn5syRSNHKk1Vq8WreoIHTqCswedhDx+uuXPjZfymTfr8c57SASdS1uAlpamSRO3tGjhQWSZJzz/PDA+cSImDr9UUgi69VDNnKsuUJFq1Snv2FD0soB8rcfBJojTVGWeorS1O7D09WrZMScIjOuDfK3Hw6p3kb7xRY8cqBDWbWrEi3tJzJw/8q9IH32zqggs0fXqc5L/8UmvXqlZTmhY9OKD/KXfwUtxm09mpwYMlad8+rVwZ1/AAHKf0wdfryjJNnaoJE+J33n1X27ap0WCSB45X+uBzIWjePCWJajVt364PPih6QEC/VIXgazUliebM0bBh8cDsihXat0/1Okt3QB9VCD43eLDmzlUIqtf13nv66iuJA7NAXxUJPt9RO3++Gg1JSlO99ppC4OQc0Ed1gkgSjR2rGTPiWZrubv38s8QkDxyjIsEnibJMAwZo3rx4Vf/rr3r7bWoH+qhI8OqdyadM0ejR8Zzs4sVKEo7TAH+oTvD1utJUI0fq5pvjWv3XX2v9eoXAPhwgqk7wUlyla2vTmWcqBB0+rKVLlSRc2ANRpYLPd91dcYWmTYuRf/SRdu6M3wdQqeDzA7MDBuj663XaaZK0a5e6uyWxzRaQKha8pEZDIWjuXJ13niQ1m1q7VgcOsOsOkKoXfD7JDx2qmTPjHz/+WBs3cmAWkKoXvHrfinHHHRo4UEmiQ4e0erWyjEkeqGjwSaLJkzVpUly3X7lS27ezXA9UMXj1bq2/9964627HDq1fL/FrKmCvmsHnG+za2nTuufFt1i+/rEOHmOThrprB51pb1dkZ7943bdIXX1A73FU2+PxN9bfcEtfqskwvvcTWerirbPD51fvFF6u9PR6YfeMN9fQUPSygUFUOPk01aJA6OuLEvn+/Xn1VYtcdjFU2ePWuyV9zjcaNU5oqBL3+epztAU9V/r9fr8dfU3HddZLigdl16+LkDxiqcvDqneQ7OjR0qELQwYPxLA2H5+Cp4sHnW+ivukoTJ8bvbNigLVv4NRUwVfHgj+60mTNHjYaSRN99pzVr2IEDUxUPXorP4W+9VcOHx8hXrdK+ffEgLWCl+sHnt/GtrZo9W5IaDW3YoM8+k7iTh5/qB58LQffcE78+dEjvvCOJA7OwYxF8vvFm3Dhde60knXaali3Ttm1FDws45SyCl+I52TvvVLOpI0d05Ii2by96TMAp1yh6AKdI/qb6K6/UjBkaO1bt7Zo6VeKEPMwkwekuttnU/v0aMqTocQAF8Qo+l++rr9eZ3mHH5ZL+qCyLL70DDDnO8IAtl1V6ACJ4wArBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBSdPDNprKs4DEANpIQQtFjkLJMtaI/egADhWZ2+LDuukvffkvtwKlR6Ax/5IhOP13nnKP587VggYYOlaQkUQhKksJGBVRXocH//rtGjdIPP0jS9OlasUKtrQpBISjLVK+TPfD3KvRauqVF77+vu+/W8OFqb1drq9R7P99oKMuUpkUOD6icQmf4o5fuGzdq9GiddZaSRHv3auFCXX65brpJkppNpnrg71L0Kn2WKcvUaEi9/T/7rO6/X4MGafZsPfCAJk8ucnhAtRS9PJ5fvaepjn7ujBmjSy7RwYPq7tasWbrvPv30U6FDBKqj6Bn+OPkkf+CAlixRV1dczxsxQg8+qM5ODRsmict74H/Wz4I/1u7devJJLV+u3bsl6fbbtWSJ6nVJajaVJPFrAH9afw3+6Hrep5/qhRe0Zo0WL1ZHR3xol2/UYT0P+C/11+AlhaBmUy0tkrR5s8aP14ABqtW0ZYsWLVJnp66+Ov4YzQN/Tj8OPpemqtVi0vmGnAUL1NWlIUPU0aFHH9U//hH/StzeAydR9Cr9SeU36vkyfpKoVtPEiRo1Sj09euUVXXaZHn9cv/yiJKF24KT6/Qx/nDz7337TwoXq7taOHZJ00UV65BHdcINGjCB74ATKFvyxvvlGXV1avlw9PZK0aJEeekiSQog3AhzCA/oqbfDNZtyf9+GHWrJEmzZp5UpNnNhnDY/1PKCv0gavY7blHj6s77/XmDEKQfW61qzR0qV67DFNmBB/kvIBSeUOPnd0qs//IQcP6rbbtHq1hgxRZ6ceflgjRhQ7QKD/KP9dbqMRH9dJShK1tGjaNF14oXp61NWlSZP09NPas0dZprJ/tAF/Wfln+OPkV+8//qinntKbb2rnTkl66y3Nnv3HtQDgqnLB65hXYm7erGee0aBB6upSSwvP6oEqBi/Ft+W0tChNtXevhg1j3Q5QZYPPpWncqEftgKSKBy/22AN9VH0Ri9SBY5T/sRyAP43gASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDIPwFMgMGbTnurRAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "action": "('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOUlEQVR4nO3dW4hVZR/H8d/aa++xCy/y0EEIqTQD8VAUnXBSUYK0HCSLQOxgamJYmGlWmkIYOZEwChVTECEYKFl2EQo5BNFJsNPFZAoVY6LmadApdfZea70Xa2k6L2+j1dvea/++nyvFuVhefPfzX8+zZu0gSRIB8FCo9gUA+PcQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4zkI/g4VpJU+yKA/CtW+wJ6kXZeyMfnElDrarqkJFEQKAj01Vfq6lKSsM4Df0vtBp/Wfvy4mpt1yy1avVpBQPDA3xIkNdxQd7dmzdK6dSoU1LevtmzRrbdmHwQA/oKaXuHDUCNHSlIY6tgxzZ2r335jnQf+utoNXlIYatEiTZ+uclkNDfruOy1eLElRVO0rA/Kppkf6KFIY6ocfNGmSfvxRYahSSevWado0VSoq1voJA1Bzajp4KQt7wwY98ICSROWyhg5VW5uuuCL7OABw/mp6pJcUhooi3XefHnxQ3d0qFLR7txYv1okTkriZBy5Mra/wUnb8fvSobr9d7e1qaFCSqLVVDz3Ejj1wYXIQvE6fyX/yicaPV5IojnXxxfriC117Lc0DF6DWR/pUECiO1dioFSsUx2poUGen5s1TucxUD1yAfAQvZcfvTzyhcePU3a1iUW1tam5WoaA4rvbFATmRj5E+FccqFPTtt5o0SQcOSFKfPtqyRY2N7NgD5yU3K7ykQkGVikaP1pIl2U7e77/rySe1f3828wP4c3kKXlIYqlzWnDlqalIcq08f7diRDfbilA7oTZ5G+lQ62Hd0qLFRe/Zka/umTZo6lcEe6EXOVngp26UbPFivvJL9VdKzz6qjQ4UCizzwZ/IXvJSFPW2a5s7Nnr3duVNLlnAgD/QifyN9Kt206+zUxIn6+msVi6pU9MYbmjWLR3GA/ymvwev079J99JGamnTihIJAAwaorU0jRmT3+QB6yHEWYahKRRMnatEiJYmKRR08qAULst+W55QO+G85Dl6nb+YXLtSECeruzhb8lSslKYrYwAN6yvFIn0oH+x07dMcd6uxUEKhfP23apMZGBnugp9wHEYaKY91wg154QXGsINChQ1qwQIcP8/Y7oKfcBy+pUFAUae5cTZ2andLt2KEXXyR4oKfcj/Sp9Ciuo0O33aa9e1UsKo71wQeaPJnBHvhDnaSQPmA7eLDWrFFDQ/Y03rx5OnCAx++AP9RJ8Drd/JQpmjMn27Hv6ND8+SqX2bEHMnUVfPrdFc88o1GjFEUqFrV5s95+O5vwAdTJPfwZ6Sndtm265x51dSmKdOml2rpV113Hq+yBOlrhU+njdxMm6LHHFEUqlfTrr1q2TF1dCkMGe7irtxX+jEpF48bp00/V0KDubq1apcWL2bGHu/oMPj2la2/XmDE6dkxJooYGtbXx5bNwV5/rXbqBN3y4Vq5UFCkIdPKk5s3L4gds1WfwqSjSI4/o3nuzm/lvvtHSpbzWGtbqc6RPpXfsu3fr7ru1a1f2urt33uHLZ+Grnlf4QkHlsq65RsuWSVKSKIq0fLl+/pmTeZiq5+AlFYuKIk2frtmzs8G+vV0rVujkSYnXWsNPPY/0qfT/d/iwxo5Ve7tKJZXL2rAhu7fntdawUucrvKQgUBBo4EC9+qqCQOWyZs7UqFFKEs7kYaf+V/hUevy+dq2KRc2erWKRA3k4cgleOqdwHrmDJ6Pgz2Bthy3HZY7aYcsxeMAWwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBItYOvVBTHVb4GwEZtfLcc3+0I/CuqmtmpU5ozR7t2UTvw76jqCt/drT59dNllevhhLVyoAQMkKQj4elfg/6SqwZfLGjJEe/ZI0tixeu899eunJFGSKI4VhmQP/LOqOkuXStq2TY8+qssv1113qV8/6fT9fLGoOFYUVfPygLpT1RX+zOj+2WcaOlSXXKIg0NGjWrVKN9+sqVMlqVJhqQf+KdXepY9jxbGKRel0/2vX6vHH1bevpkzRggW68cZqXh5QX6q9PZ5O71GkM587w4Zp+HB1dWn9ek2erPnztX9/VS8RqB/VXuF7SBf548fV2qqWlmw/b9AgPfWUZszQwIGSGO+Bv6zGgj/bvn166SVt3Kh9+yRp5ky1tioMJalSURBkfwZw3mo1+DP7eV9+qddf19ateu01NTVlh3bpgzrs5wEXqFaDl5QkqlRUKknS9u0aMUIXXaRCQTt3qrlZM2Zo/Pjsx2geOD81HHwqilQoZEmnD+QsXKiWFvXvr6YmLV2qq6/O/knc3gO9qPYufa/SG/V0Gz8IVCho9GgNGaIjR/TWW7rpJi1froMHFQTUDvSq5lf4HtLsOzu1apXWr1dHhyRddZWee0533qlBg8ge+BN5C/5s33+vlhZt3KgjRySpuVmLFklSkmQ3AvwSHnCu3AZfqWTP5338sVpb9fnnev99jR59zh4e+3nAuXIbvM56LPfUKf30k4YNU5IoDLV1q958U88/r5Ejs5+kfEBSvoNPnVnq0/9IV5fuv18ffqj+/TVjhp5+WoMGVfcCgdqR/7vcYjE7rpMUBCqVNGaMrrxSR46opUXXX6/Vq3XokOJYef9oA/62/K/wPaTT+969evllvfuufvlFkjZv1pQpf8wCgKu6C15nvRJz+3atWaO+fdXSolKJs3qgHoOXsrfllEqKIh09qoED2bcDVLfBp6Ioe1CP2gFJdR68eMYeOEe9b2KROnCW/B/LAThvBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4DrSk1One5+yMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "action": "('move', [-2.231104377439538, -12.391771483538955, 13.116279429118])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALGElEQVR4nO3dXYhU5QPH8d+cmXG1vNHMEpJMc3sztjC0IK28qMxYkYKMdQMNLaQE22yhN4kgUktdxZJl1RRfSF1cIay9KLqIXoSueyOiNTNMdi1Fd50zM12cs7ou/n3pv3lm5vf93LYXx4tvz8t5zjOpYrEoAB6CpB8AwOVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICRUgm+WFSxmPRDAJWuVIJPpZRKqVBI+jmAipZJ+gHisb27W8WirrxSxaJSqaSfCahQCY/w0TQ+CPTmm3r4Yf38s1Ip5vbAfyXJ4E+v21et0rvv6osvNGOGvv02ntuTPTDgEg4+lVJHh7ZsUS6nIUP0ww+qrdUnnygIlM/TPDDAkgw+CFQs6vrr9cEHmjhRJ09q8GD9/rtmz9bWrcpkFIY0DwykhNfwQaBCQTU12r1bDz6o7m5ls/rrL82bp9Wrlc2ybw8MpORfy0Wz9zFjtG2bnnxSuZzSaYWhFi/Wa68pnZbEOA8MjFSxNGIqFBQEOnlSjY1au1ZBoFRK+byefVbr1sUTgSD5/zsB5a1UGorG+SFD1NSkpUtVLKpQUDar9etVV6e//47/AMD/o1RG+MjpYXzNGjU2xkv6XE4PPaSWFl13ncJQmeTPCgHlqrSCj0TZb9um557T0aNx85MmaeNG3Xab8vl4YQ/gUpVi8FJc9ccfa/58HTwYNz9+vDZs0JQprOeBf6lEu0mnlctp+nS1tuqWW5TLqapKP/2kxx9XW1u8hwfgUpVo8FI8qk+erLY23XOPenpUVaXDh1VXp40b4+ZLcnYClK7SDV5SNqt8XtXVamvTI4/EzZ84oaef1jvvxK/uGOqBi1fSwUtKp1UsauRI7dypujr19MS79EuW6OWXFYZM74FLUKKbdv1En9mEoRoatGaNgkBBoDDUggVatUpXXME2HnBRyqOS6CP5INDq1XrjDRUKCkNVVam5WfX1OnKEYznARSmPET4SfT8fBHrvPTU0qLtbgweru1tTp2rTJo0dy7Ec4ALKKXj1af7DD7VwoTo7VVWlnh5NmKCtW1VTQ/PA+ZRZ8JFoxf7ZZ5o3T7/+Gr/AGz1aW7bo/vtpHvifymMN3090c8a0adq7V3fcoVxO2awOHNBjj6mtTZkMt+UA51aWwUvxx7M1NdqzR1OnKpdTJqPOTs2Zow0blE5zGSZwDuUavBTfkzFmjPbsUW1tPJM/eVILF2r5ckkcywH6K+PgpXj2Pny4du/WU08pDCUpDNXYqJdeUi7HsRzgLOUdvHqP4mWz2rxZixef2cZfsULz56uri1f0wBllH7x6j+UUClq5Um+9pUGDVCgok9HmzZozRwcOxJN/AGX5Wu6coubTaW3apEWLdPy4Bg3SqVOaPFmbN+umm7g5A6ig4CUVi8rnlcnoo480d66OHImP5Ywfrx07NHEiP1wHdxUVvPocxfv6az3xhDo64nF+5Ejt2KFp02ge1iphDd9XKhXvzN99t9rbNWGCTp1SNqvDh1Vbq9ZW3s/DWqUFH4mO4t18s/bt05Qp8bGcEydUV6d163g/D1+VGbx6T92MHq3WVs2aFR/L6enRgQNSnx+uBaxU2hq+n2hn/tgxvfCCWlq0YEH8OzapFCt5OKrw4NX7aV0YaudOzZqlIUOSfiAgOZUfvHTWzjy79HCW9Bo+DC/DBlrfwqkdzkpjhOcOSuCySDSznh4tWKAff6R24PJIdIQ/dUpVVbrmGs2dq4YGXXWV1PspDDNv4D+QaPC5nMaNi9+M33ef9uzRsGHxK/LoOxiyBwZUonPpbFaffqpnntG11+rRRzVsmNS7ns9kVCjwITswsBId4U9P3b/8UjfeqKuvViqlri4tW6bJkzVrliSFIUM9MFCS3qUvFOLbKtTb/9q1WrRIQ4eqtlaLF+uuu5J8PKCyJL09Hs3e+14rXV2tW2/V8ePavl0zZuj55/XHH4k+IlA5kh7h+4kG+WPH1NyspqZ4P2/UKL34ourrNWKExNEZ4N8rseD7OnRIb7+tXbt06JAkzZun5ub4kqowVCrFhVXApSrV4E/v533zjdavV3u73n9fM2eeudFG7OcBl6xUg5dULCoMlc1K0v79mjBBgwcrCPT991q+XPX1euCB+M9oHrg4JRx8JJ+Pv19X78W0DQ1qatLw4Zo5U6++qrFj4/8klvfABSS9S39B0UI92saPLqyrqdG4cers1KZNmjRJS5fqzz+50QK4GCU/wvcTZX/0qJYt0/bt6uiQpBtu0CuvaPp0jRpF9sB5lFvwfX33nZqatGuXOjslaflyLVki9V5PHwR8hAf0U7bBR7dSSvr8czU366uv1NammhputwHOo2yDV59juT09+uUXVVerWFQ6rfZ2tbTo9dd1++3xX1I+IKm8g4+cHuqjf8jx45o9W/v2afhw1dersVGjRiX7gEDpKP9VbiYTv66TlEopm9W992rMGHV2qqlJd96plSt15IgKBW6iB8p/hO8nmr0fPKgVK9Taqt9+k6S9e1Vbe2YuALiquODV50rM/fu1Zo2GDlVTk7JZ3tUDlRi8FN+Wk80qn1dXl0aMYN8OUMUGH4l+aErs0gOxig5enLEHzlLpm1ikDvRR/q/lAFw0ggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8ARm4fzN2hIqYAAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH7UlEQVR4nO3dT6jlZR3H8e/vd+51ZrJBUEQEFRlc2mwUqbFQyog0C6GFaVH+IWsiUSh1NTTekWnRBIIOuLCVJGOjojkxGUUh6EY3litB3Kjj5OgMk8bMPef3tDjXO+MisdLOvffzei0v58KzefM85/t7fvd2rbUCMvSzXgDw/yN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CDLj4Mfjam22S4AgXZt1cMNQ1aofzXYVEGGWO/ziYu19ZOj76kc1mcxwIZBilsG3Vt/9XnfVle2ZZ9podOKHwCdklkf6xcXauLGOHavTTmtXf61tv7vftKmqqrVqrXrzRPi4zTL448dr3brW9V0bqqpOPbVuv722bq2zz66qWlysubnqulmtDtagWW6jo1Fd8402P2pVbX6+3nuvduyoSy6p3fe3N95o8/NVVePxDBcIa83MdvjWlnbvR/a0B39VTz/dVdW6dXXsWFUNn/ts94Nb6tvf6abzvL631cPHYMaP5SaTGo3qyJF67LHatateeqmqan6+Fherqn35irrttrryqq7eH+bJHv4XMw6+tRqPa3p6P3CgHnqo/fye4dDhUVWNRjWZ1MaN7UtfbAs7+gsvXPqVYTDPg//S7C/e1PTuTS1l/PrrtePuycN7usOHu+mO3qrWr5vcfHN3x539uedWVY3H1feyh//Yigh+avlbfVW9+GItbB9+/4fu6NEajbrptZzTT6+77qprr62l7Bdrbn5mq4XVaAUFv2y5/Kd+2x54oD21r6vqTjmljh+vqtq8ubb+sF1/fffpjTWZVNfZ6uGjWonBV9Uw1DDU3FwdP1Z7H2333dc991zViTF+XX55u+X7de23luZ5hnnwUazQ4KfG45qbq6o6eLAef7wWFuq116qq5uZqPK716+uyzw/btvdbtix93jwPPtyKDr6qWqvJZCn7t96qX+5qu+8fjhwdVVXf1zDUhg3DN69p27aPLrigqhzy4cOs9OCnTj60v/JK/Wzb8Lv93aFDXd8vXbz/1PrhJz/tbrixO//8Ktdy4d9YHcEvWy7/L39u997bPflEm7Rufr4Wx1WtNm2qW2+t666rM8+sYajWauQ1ezjJKgu+PnjIf+zRYffu7o9/alX98hj/0kvbDTd0N91UVTUM1XW2eliy+oKfWr5g//ahtm9fLeyol1/u6v1ruV1Xl31hcsed/VevXGrdJB9q9QZfH9zq33mnHnywdu6st9+uWrqW2zZsqK9cMSzcM7rwM7NdKawUqzj4qZNfqjlwoBYW2t7f1MG/d9VV39Uw1Lr5YevW+tGP+/POM8kj3aoPfurkE/sLL7Rdv6gnn6h3/9nNzS3d4TnrrHr++TrnHGd7oq2RB9bThqfv3l10Uffrh7s9e9rXr27j8TAMNepry5Y644wTn4RMa2SHP9nyA7l3/1H79w/37Oz/9td69tm6+GJX8Ui3BoOvD87z3nyzXn21Nm+uDRtmvSyYtbUZ/FRr1Qb/4gJOWMvBT/nbWLBsbtYL+MRJHZYZYUEQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQfwHwYLerkntuaQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "794f1354af56859b44fb6c46dfdb871dc87e5dc6e1c0adc04177fe586f7368cf"} +{"episode": 38601, "episode_seed": 3103006123, "split": "train", "timestamp": "2025-09-15T23:24:38.308460", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3103006123, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "action": "('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "action": "('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKV0lEQVR4nO3dW4icd/3H8c/sbg42i1LSg4kWElPpIY2JpwtvvLCioAWDh5uiFLyXKKIXIohoK7VQqyBUkF7kwovSiCCIIopUvBBBTWtXU3qIeIgJ0dgQG9PszPwvZtzstk3/PUST3c/rxRLIZnZ2GPKe7+/5Pc/sDsbjcYAOMxf7AQD/O4KHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHInMX+wHAKzUen/tzMMhgcHEfziVN8Kw+4/G5j5mZzMwkWdH54mJOn866ddm48WI9xkuU4FkFxuOMRtPCk6xb9+y8T57MU0/lH//I73+fgwdz6FB+9KN89rP50pcyGk1fEYjguTQtDfBJ5+vXZ3b23L8+80yOHMnf/pYjR/Lkk1lYyKFDWVjI3/9+7jazs/njH3P2bNaty3hsnT8leC4VSwN8PM7s7DTRSednz+bxx/PEE3n88Rw+nCefzOHDOXw4J06suIf165PkmWeSZDjMz3+ev/wl27YJ/hzB8782qXpieYfL99vOns0jj2RhIQsL+cMfcuRIjh3LsWM5eXLFXU1eFxYXp3+dpH7VVbnpptxwQ972tmze/OzvUm4wXv70w4W2fG4nK1bmS4bDnDqVhYU89FAOHszDD+dPf8qpU/nXv/Lvf7/QnQ8GmZ3N1q1505umHzfemM2bMz+f+XmH7s/DhOcCW374nWRu7tnhPf10Tp3KyZN54on89rd5+OEcPJhHH83Zs9MvOZ+5uWzalPn5bN6cm246F/nVV2fu+f4jW8k/lwnPBfbczI4fny7I//zn6Sr9kUfy2GMrbvOsxfnEhg258spcfXWuuio7dmTnztxwQ3buzBVXnPdbL6f25xI8F95k83yyr3b48HS/7fDhFbeZm8vsbBYXMxye++T69dm+Pdu2TT927Mj27dmxI5dfvuJrh8NpzC6zeakEzwUzHGZ2NrffngMHpufMlpuZyexsRqMVha9bl507c911ufHGXHtttm7Nli3ZsiWvfvWKr11cnC4cBoPMzIj85XMMzwV2/Hh+85vn+fxolNEo8/PTw+9du7Jr17Tt17wmr3rVihsPhxkOp20PBs9/iM7L4InkgpkM3ne8I/fckySXXZaNG7NpU667Lnv2ZNeuvPnN2bYtGzZMT5gvNx5PF+qTO5ksB7jgBM8FM2l1z57cdlu2b8/u3dm5M29843lvP9nMXzoaN8b/BxzD89+1vOrYOb/YvKhygY3HWVxcscEm8kuHCQ9FXHwIRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPL8Uq/+WrgoeXYpX/7mvBw4swGiXJcJjTpy/2Q3lFBA8vaDzOcJiZmTz1VG69NbfcklOnLvZjevkEDy9oMMjsbH7967z3vbn//vz0p/nOd5L/zPzVZu5iPwC4hI3HGY3ywAPZty9Hj2bjxnzqU7nttiSZWZXDcjBe5buO8N8yHmcwyHe/mw99KEle//rceWduvfXcP61CJjy8oOuvz44dufzyfPvb2b07i4uZnV2ltceEhxWWRvfyGf7YY9mwIddcs9prj007OGc4zGCQ8Tjf+Ebe97789a/TT157ba65JsNh5uZWde0RPExNpveJE/n0p7NvX374w3zzm0mmLwHjcWZnL/ZDvAAcw1NvcqZ9bi4LC/nkJ/PjHyfJzTdn796MRhkMVvtUX86Ep9vkWH1uLj/4Qfbunda+b1/uvz9vf/saqz0mPO0GgwyHufvu3HFH/vnPbNqUe+7Jxz+emZkMh2tjGb+cXXoqTa6oGQwyM5NDh7J7d86cyfXX51vfyjvfmSSj0Sq9tOaFCZ4+k0245T3fe28eeCD792fr1rV33L6c4Cmz1PMvfpE9e7Jp04pT7qv2EroXaQ0uWuC8JoN9NMrnP5+9e/P1r2dxcbq8H43WfO0RPC0my/jBIMeO5cMfzu235/jx/OxnOXNmurZfu8v45QRPgUnqg0F++cvcfHO+970k+djHsn9/LrtsOvYLao/gWfsmtY/Hue++vP/9+d3vMj+fL385+/fnta8tGexLnIenwNNP54tfzF13ZTzOjh356lfzwQ9OfxxlU+0RPGvZ0g+lGQ5z9GjG47z73bn77uzatSYvqnkxnJZjLVq+3z65hObo0Rw4kI98JFdemcXFzJWOOsGz5ixN77vuylvfmne9a0X/rbN9QvCsLZPpfeJEPve53HtvtmzJr36V173u3Gm5soP2Zyld2LAGLb3L9aGH8olP5MEHk2Tnzpw5M92fW4vXxr9UngLWhKV3uR44kFtuyYMPZnY2n/lMvv/9vOENSd1u/PmY8Kx+k9rPns2dd+aOO3L6dK64Il/7Wj760ells2b7fwieVW5pE+orX8kXvpAku3fnvvvylrdMT8upfRnPBavc5Cq6JO95T7Ztywc+kJ/8ZFr75O3uLGOXnjVhsm5/9NFs3Zr5ecv48xE8a0XBm1tfOa+CrBVLP0+a87Npxxpiwv9/THgoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8n+JP31LEE4rcQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "action": "('move', [25.642399384068526, -40.89558239319326, 14.003790688989739])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0958af6ab99c9790dcd08c660d9107df0c4dcb116bf6d93884303c50c59ecd4c"} +{"episode": 38602, "episode_seed": 3755580702, "split": "train", "timestamp": "2025-09-15T23:24:38.942736", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3755580702, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "action": "('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "action": "('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "action": "('move', [20.951424952312347, 1.3056456384579163, 10.023462823618681])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "09006e7fb936c095bff25b96a6494eff9376d7202ae8d750ad5dcb8a82619300"} +{"episode": 38603, "episode_seed": 1984734818, "split": "train", "timestamp": "2025-09-15T23:24:39.590731", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1984734818, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "action": "('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIsklEQVR4nO3dz4td5R3H8e+5d2ZSjcYGoiiSbgIudJF/wAz6JwQhYNr8kNQ2hLioBZGKof5AsK4VFwothICGLkpw5UKKCGmpkYgipmD9CQrRCprYmrn3dHFv0rGZmUz0kHunn9eLLDKXWZzFvO/znOec85ymbdsCMvQmfQDAlSN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4utG21baTPgguZWbSB8D/g+Hwv/9vmskdB5fStL6WIYYRng48+2y9/Xa1bd12W+3dW1ddNekDYhlGeDpw++312mtVVdu21bFjdd111bbm9tPICE8HNm2q2dmqqo0bdT7VBE8HBoM6d66q6tw5a/VTzWU5OnBhVFf7lBM8Heid/ztyNX7KCZ4OXAh+OBT8VBM8XVL7lBM8HbAyv1YInktZxai9+ByeaSZ4VjQcrmb4tmi3VgieFfV6dfbs6iO2aDflBM9S2nb8BNxzz9W2bfXOO1XffSbuu1yHXysEz1JGM/m33qpHHqkTJ2rnzvr00+r1lmvelH6tEDxL6fdrOKxbb63HH6916+rkydqxo776qnq9JYM2wq8VgmcZ/X5V1Z499dRT1TT16qu1a1d99NGSp+kuy60Vgmd5vV4NBnXffXXoUFXVsWN16lT1+zUYXPyLIxbtppyn5VjRaG5/6FB9801t2VLz8zUcjgf/RUzp1wrBcymj4fvJJ//380V7XCwOXvPTzJSeVbgQcdvWYFCHD9eLL1bT1MLC6OOev6M1wgjPKoxG8IWFmpmpI0dq9+665pq6/vq6884aDBbP8J3DTznfzKza6Jrc5s21eXN9/XXt2lUnT1a/XzVo3Eu/RgieVRtN3O+4ow4fro0b65NPaseOOnWqqt87f0OOc/gpJ3gux+i8fX6+nn++5ubq1Knas6dOf9a7plfVlhF+6gmeyzQzU4NBbd9ezzxTs7N1/Hjt/2X980xVU0b4qSd4Lt/oZH7fvnr00er3649/6r15ctz7ouV8ppBVei5f04wfp3vggfr44/rkw2b9rfVmVVU7HE3tmVKC53sZNd809cQTdfWPer+eG32q9ylnSs/3NVq037ChZuaawfnMv/lXNSb000vw/ACjcb5tm15TNayZGv79zfb4X6tpVtgtgwkSPD9M01TTNE1VtTWsGs7VL35ef/lzzfQufqiOiRM8HWiaqmqqrbb67enP6u5d9e674yftmCaCpwPjh2fa4fAnm2vdtfWPj2rnz+r998dP1DM1BE8HmqaqelVte/2P298+Uutn68Tf6uDBOn16hZ3wuPIETwfOPw/frzPD2vfT+t2T1TT10kv14IO1sDBe22MKuA5PBxbtWturf1cd+FV98Fn94fc1P18zM+Mbbi/aJ4crT/B0adhWO2irmvrNQ7Xz7tq6dTy2j3bC0/ykmdLTgcW71rajHzZcW1u3jve37/XqxInq903sJ07wdGDxrrXje2uHbQ2H4xW7hx+u7dvr6NFqGov2kyV4OrDEm2eaZjzunz1bR4/Whx/WgQP18svV79e5c5M6TgRPB5bepnq0OL9+fb3wQt18c50+Xfv31xtv1OyscX5SBE8Hlt2XfjTOb91aR47Upk313nt17731wQfO5ydF8HRgpZdJjp6cn5+vp5+uDRvq9dfrnnvqyy9dnJ8IwdOBld48MxrkFxZqx4567LFat65eeaV279b8RAieDvR6439LJ9w01e/XwkIdPFj3319V9e23dfXVi99dw5Xhxhs6sLAwvl/+zJllxuxR86Mdcm65pe66q+bmruwxUiV4OnHDDbVlSzVN3Xhjzc4u80sXBvO9e6/QYXGRpnUSxQ/2xRf1+efV69XsbN100/LNj5jJT47gIYgpPR1YfDXOm2SnmREegvg2hiCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AdzpxS7PIJEKAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "action": "('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI50lEQVR4nO3cT4ic9R3H8e/zzMbNJLqhEKkoOaTS2HoJiMVeDHgQtZVWEaJYE/EgiMaDnqTFXPQiXhUP1TYHDahIhWDrTVpPOUTJQURboqJtDU2pmmQnf2bm6WG2MdUYo93NZPt5vRiG2c0kPEPm/fx+z+95Zpqu6wrI0E57A4CzR/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPB8na6b9hawaATPaY3H1TTT3ggWjeA5rbat+XmD/P8NwXMqXVfjcVXV00/X1VfX229X1cJvWM6azs6bLxuNqm3rrbfqhhvqo49q48Z69dW66KIaj6s1SCxj/vM4lV6vxuO6/PJ69NGana29e2vz5jp4sNrW9H5ZEzxfoderqrrzznr88Wqaev312rKlPvywxmPNL1+C56u1bY1Gdf/9tX17VdWuXfXuu9Xr1Wg07S3jW5qZ9gZwbpvM7bdvr8GgLr20Nm2q8Xhh8GcZsmjHt9V1TtEvO6b0nIETo0LX1WhUzz5bL7xQTVPD4VQ3i2/MlJ4zMBnJh8OamamdO2vr1jr//LrwwrrmmhqNzPCXESM8Z2xyTm7dulq3rg4dqi1bau9ea3jLi2N4Tu3U74uuq7apP/6pbrqpPvlXbbisdu2qDd+v0bh6rQP6c5/g+aaGVTP1yu/q1tvq8LH68ZX18sv13UuquqovJj95c518f7JTLvk1jaXAJST4aJOF9t2766WXqt+v1atr5cpaterzW7//+e/PO6/attq22m7U9nvtr59pf/XL9thn7U9/1v7mmXbN+Qt/2ir23CX4aJNL4596qu6994ye3+st7AL6K6v/ner//W8rD+xb1X3W/976/o9+2F/R9Vc1C0841W12tmZmTndr25qbq35/iV92MKv01OHD//XjZIie3J8Yqyfjwnhcg0EdPlxdV/VhV3Vx9S6uqtpXta++PKX/Km1bK1fW7GzNzi7sCFaurH6/mqbuu69uv32xXhlfJHhqzZrasKGOHKkjR+ro0YX7M1h6b6q6GnX/eXyi9q5pmsnO4svT+8nnbruu5udrfv4U/+iNN/5vL4bTEny0yUddb721rruuhsMajWo0WngwHNZwWMeP1/x8DQY1GHz+4KQfm8GgmZ+vwaAbDGvwj2ODT4/O9y8YfNoNBs3kOWeuaarras2aJXqtVAmeqpqbq7m5b/MXJ2P1eDgeN23357+MN9/W/fX98XPPdT+5bjw/6preuKvhcGHvMNlfnPxgcn/48MKDY8dq//7asGGxXx4nETzVdV//gdfJzPwL8/PJBKHXq6quar4Of1xH/1n3b6n1u+qKq6pGVS7CO7dYpWcxTC6w3b27fn5Tt//jWr++fv+H+sFlkwty6pu8xZzSW1IurWUxTC6wveqq2vHbZs2a5r33mjt+0bz/ftNrm9FosoB3hjeWlOBZJL1eDYd1/fX1xBO1YkXt2VPbttWBA9W2vv3y3CF4Fs/MTI1Gdccd9dhj1TT1yiv10EM1HC6sv3MOsGjHopp8VPaBB2r//tqxozZtqpmZhVVBn6I9B1i0Y7FNLtA/eLD27auNGxdqn3w9nuanTfAspRPfY//GG3XFFb4Va+ocw7M0JtfQTlbsHn64br65Xnyxmsa3ZUyXEZ4lMxnPDx2qK6+sd96ptWtr58669to6frxWrJj2xoUywrNkJovzq1fX88/XJZfUgQN1zz315pu1YoVxfloEz1KaXEyzcWPt3Flr19a+fXX33fXBB9XrOVE3FYJniU0O5jdtqiefrLm52rOn7rqrPvnEyfmpEDxLbDLID4e1eXM98kjNztZrr9XWrZqfCsGz9Jpm4cLbbdvqwQerqo4dq1WrnKU7+6zSc7acyHvHjrrllrrggmlvUCLBQxBTes46Y8z0CJ6zznH79Agegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvwbtdj5AeNEetYAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "action": "('move', [-0.005294369401396416, -0.1608440638251534, -46.2307335600444])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6874e1ee498f25d0ef0d75e7c67fdb0146f157e00f0f43a646ad995bc7397ff0"} +{"episode": 38604, "episode_seed": 1797281953, "split": "train", "timestamp": "2025-09-15T23:24:40.596600", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1797281953, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "action": "('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "action": "('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "action": "('move', [176.0611398280963, -321.3695565542332, -21.469353464473347])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF/klEQVR4nO3dPXITSRiA4ZbBFkTEZByC2oAbcxdOwR2gwPqZDSSE2GADj2rd6/d5ElSOpii/+rp7RvJmWZYBNNw99wUA/x3BQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyEvH7uC4B/syznF5vNs17HSyF4pqbz2xI88/r+fXz9Or59G4+P48OH8f79WBZvAavYwzOjw2GMMb58GX/9NT5+HJ8+jc+ff/+cJxM883rzZrx7N+7uxt3dWI7LuNrS8zSW9Mzr/n6MMY7HMcby88dxjFfPfEH/fyY887q/H69+Nf74w3C/AcEzo9PJ3MPDJfjl8fH077Nd0ssgeOZ1Ffw4Ba/3lQTPvP5Y0v981kt5KQTPvK4m/OZx/7zX8kIInhmd9vB/TPhHD9zcgOCZ1/Ue/ufe7+oNuA/PvO7vx905881uP4YHb1bzrsmklmW8fv17wh/2Y/gszWqCZ1LH49hsfge/348xLgOfJ/L/x4w2m/Pq/feEP/zxc55G8EzqH8HvLelvQfBM6hT8ZQ2/dx/+FgTP1O5fH08v9vux35vwawmeqW0fltMT9IfD2O0Ev5bgmdT5A3NXE363G8Ot+HUEz9S22/OL05KelQTP1B4ezi9OS3pWEjxT2/4K3oS/CcEzte3b86+oCX8TPjzDpM6Hdm/PT97s97++9Mah3QomPFO7HNodDpb0NyB4pvZwtYe3pF9P8Extuz2v7QV/E4Jnag8P5+Ad2t2E4JnUqfPt9vz5mcttOYd2awieqV0mvCX9TQieqV1PeMGvJ3imZg9/W4Jnaten9PtH2/e1BM+kLn9P8ryk3x13u+NwaLeO4JnaZcIfjmO38/UXa3mWnqld9vBj3O0Oz3stL4EJz9QuE374HstbEDxTu+zhx3BKfwOCZ2qX+/BjLDun9KsJnkldTul/WXY/l+GUfh2Hdkztag+/cWi33mbxhsnElmV8+3ae6tvt9cDnKQQPIfbwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyE/A18ucoOusUD6QAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ab7b5ac419244eb1f5c3e34c3e7e28d63eb7ca524ff441e912110221187c2892"} +{"episode": 38605, "episode_seed": 3865977372, "split": "train", "timestamp": "2025-09-15T23:24:41.234302", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3865977372, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "action": "('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "action": "('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "action": "('move', [1.2392125278458217, -2.469515230549644, 20.130115811822936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIbUlEQVR4nO3dwY+dVR3H4d957zSEQArShAUbwhiCGgmBtDTRqC2iLAximgpioSyqERK2/B1sMCoaEQSUUFgV0lpEFyRKgKiExEJQIG2IBggBIaTt3Pe4uIPu6fTeS7/Ps2qmm7N4P3PunPm9Z1rvvYAMw6IXAMyP4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4Bej90WvgEiCn7fea21t/R8wZ6177uao92pt0YsgmB1+fma1nzhRBw7UnXfWkZdt8szbyqIXkGIcaxjq1VfrrrvqySfrxImq3u/5cZtOazJZ9OKIYYefq82b6+jROnGiNm2qA0/UO+/UMNjnmR/Bz8kw1MmTdeGFddut08lknE7r2NF6+KGxtZpOF704Ygh+fiaT6r2+df1kdbWNY03Htn9/O368WrPJMyeCn59hqLW1Wl2tHV/tVb21+tuLdfh3fTKxyTMngp+r2Sa/7wfDuee2qnrvvTpwoM/O82AOPGhzNTuiu3p7bb1y7L1aa088ORw5UsNgk2ceBD9vrVVr9cPbW1VNJnXsWB06ZCCHOTFptxjHj9ell9axY1VVV11Vhw7Vli2y57Szwy/GWWfVHXdU77WyUi+8UM89v+gFkUHwCzD7ULV7d23eXNNptVY/uWe0vTMHgl+AWdiXXFK7dq2P3B48WC+/UuUVOk4zwS/GdForK3XTjWPV2FqdWBt+ce+46EVx5hP8Ysym67ZdPezc2dbWqrX6zcP9gw8WvSzOdIJfjNkv3rdsqW9f34eht1b/fmty3y/H1tavx4DTQfALM/tJ/oYbhvXR+mnf/2gZree0EvzCzEboL1mta3ZMq3q19pe/Dn/8g9F6TiPBL1Lv1XvdvGc4/7xWvf7zQe3f////gg0n+EVaWalxrB072uVfnM5Gbn//dHvppfWvw4YT/ILNfpL/0e1D7zUZ6rXX6vBh2zuni1n6pfDRR3XZZXXsaPWqrVvr4MHasqW8NsuG80AthbPPrn37qletrNTzz9ezzy56QZyhBL94s6O7W27pZ21an6i///5xbc32zsbzTC3e7Lju4ovbTd8bptMaJrV/f73++vo3AthAgl8K41grK7VnT19ZGVurcRzu/Vn38hwbTvBLZNu2+tKXh+lataqHHhzff9/UHRtM8EthNlr/mQvaru+Mvfca6l9vTX77cO/d1B0bSfBLpPe67rq2ulq91zitXz9YrfnTNGwkwS+LyaTW1uqyz7Vrr1k/rHvxpXb4sAtt2UiCXyKz4/qbv9/OP69V1fvv9Uce6WZs2UCCXyLro/U72xVXzr7QnnqqHTlSKys2eTaG4JfL7Hfvt+2tYahhqDfeqIMHF70mziCCXy6TSbVWN95YF120fk3944/1t9+uycT7c2wAwS+d3uucc2rv3uq9JpP605/7c885pmdjCH4Z9V779tWmTWOvGsfhgfvLaD0bwkO0dD4era8bv9vGaU0m9fhj4z//YbSeDSD4ZTSONZnUrXur99mt9ZMHHhhn3wjgVAh+Gc3C3ra1tm9vs1ur7/tVffhhlbvuODWCX0atrY/W79lTVeNkUm++OTz6aJXgOTWCX16t1bVfb59dbeNYrdXPfzodR8FzSgS/pGYj9J//Qn3jm+vHdX9/ZfLMM+XWek6F4JfU/96E372rn7e5b9pU775bd99dVY7r+eQEv7xmI/Rf+dpw+RXt5MnaubN27676eBoPPgHXVC+12U3VTz9dx4/X9u11wQWLXhCfcoJfdrOJ+hk31XOKBP/pMDuo90meUyR4COIDIgQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5L2dx2YPM3HoiAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIbUlEQVR4nO3dwY+dVR3H4d957zSEQArShAUbwhiCGgmBtDTRqC2iLAximgpioSyqERK2/B1sMCoaEQSUUFgV0lpEFyRKgKiExEJQIG2IBggBIaTt3Pe4uIPu6fTeS7/Ps2qmm7N4P3PunPm9Z1rvvYAMw6IXAMyP4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4Bej90WvgEiCn7fea21t/R8wZ6177uao92pt0YsgmB1+fma1nzhRBw7UnXfWkZdt8szbyqIXkGIcaxjq1VfrrrvqySfrxImq3u/5cZtOazJZ9OKIYYefq82b6+jROnGiNm2qA0/UO+/UMNjnmR/Bz8kw1MmTdeGFddut08lknE7r2NF6+KGxtZpOF704Ygh+fiaT6r2+df1kdbWNY03Htn9/O368WrPJMyeCn59hqLW1Wl2tHV/tVb21+tuLdfh3fTKxyTMngp+r2Sa/7wfDuee2qnrvvTpwoM/O82AOPGhzNTuiu3p7bb1y7L1aa088ORw5UsNgk2ceBD9vrVVr9cPbW1VNJnXsWB06ZCCHOTFptxjHj9ell9axY1VVV11Vhw7Vli2y57Szwy/GWWfVHXdU77WyUi+8UM89v+gFkUHwCzD7ULV7d23eXNNptVY/uWe0vTMHgl+AWdiXXFK7dq2P3B48WC+/UuUVOk4zwS/GdForK3XTjWPV2FqdWBt+ce+46EVx5hP8Ysym67ZdPezc2dbWqrX6zcP9gw8WvSzOdIJfjNkv3rdsqW9f34eht1b/fmty3y/H1tavx4DTQfALM/tJ/oYbhvXR+mnf/2gZree0EvzCzEboL1mta3ZMq3q19pe/Dn/8g9F6TiPBL1Lv1XvdvGc4/7xWvf7zQe3f////gg0n+EVaWalxrB072uVfnM5Gbn//dHvppfWvw4YT/ILNfpL/0e1D7zUZ6rXX6vBh2zuni1n6pfDRR3XZZXXsaPWqrVvr4MHasqW8NsuG80AthbPPrn37qletrNTzz9ezzy56QZyhBL94s6O7W27pZ21an6i///5xbc32zsbzTC3e7Lju4ovbTd8bptMaJrV/f73++vo3AthAgl8K41grK7VnT19ZGVurcRzu/Vn38hwbTvBLZNu2+tKXh+lataqHHhzff9/UHRtM8EthNlr/mQvaru+Mvfca6l9vTX77cO/d1B0bSfBLpPe67rq2ulq91zitXz9YrfnTNGwkwS+LyaTW1uqyz7Vrr1k/rHvxpXb4sAtt2UiCXyKz4/qbv9/OP69V1fvv9Uce6WZs2UCCXyLro/U72xVXzr7QnnqqHTlSKys2eTaG4JfL7Hfvt+2tYahhqDfeqIMHF70mziCCXy6TSbVWN95YF120fk3944/1t9+uycT7c2wAwS+d3uucc2rv3uq9JpP605/7c885pmdjCH4Z9V779tWmTWOvGsfhgfvLaD0bwkO0dD4era8bv9vGaU0m9fhj4z//YbSeDSD4ZTSONZnUrXur99mt9ZMHHhhn3wjgVAh+Gc3C3ra1tm9vs1ur7/tVffhhlbvuODWCX0atrY/W79lTVeNkUm++OTz6aJXgOTWCX16t1bVfb59dbeNYrdXPfzodR8FzSgS/pGYj9J//Qn3jm+vHdX9/ZfLMM+XWek6F4JfU/96E372rn7e5b9pU775bd99dVY7r+eQEv7xmI/Rf+dpw+RXt5MnaubN27676eBoPPgHXVC+12U3VTz9dx4/X9u11wQWLXhCfcoJfdrOJ+hk31XOKBP/pMDuo90meUyR4COIDIgQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5L2dx2YPM3HoiAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "492832d519917ac226c724fafb3ade3c0f0cdbda1474d812623b6dfbf09ac963"} +{"episode": 38606, "episode_seed": 1912205016, "split": "train", "timestamp": "2025-09-15T23:24:41.886302", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1912205016, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "action": "('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "action": "('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALF0lEQVR4nO3dXYgV5QPH8d+cOWdztSK1FPEiw4yNMMwgWStf8AVSCa0uKl9qXbC86A26qUgIoxeoK7vwyiCRFaFVk15YEt0l8sKs2EpTSgMpy0zEbcv2nJn5X8zkuv59zeN58ff9XB3H3WVY5+vzzDPP2Q2SJBEAD7lqnwCAyiF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8NUQx4qiap8EHOWrfQJ+kkS5nCTFcfYCqBQuuMqKYwWBfvxRnZ3UjsrjmqugKFIup19/VWurHnhAGzZIUhxX+7RghCl9pUSRwlB//KHWVnV2StKhQ9U+J9hhhK+IOFYY6vhxtbbqo48UhnrtNT3zjCQm9qgkrraKyOXU06OWFm3erFxOL72kF15QkihJqn1m8ELwl1ladW+vnnhC7e2S9PzzWrFCpZIkBUF1zw5uCP4yiyIFgV5+WW1tkvT001q5MnsyR+2ouCBhVnmZpGN7kigM9e23euQRTZqk1auVz/MEHtVC8JdNkmRjePri9981bJjCsP84UHGMM5dHHKtY1Lvv6uhRBYHiWDfcoDCUuG9HNRF8uSVJNmNfsUJLl2rpUv38s8QGG9QEgi+r9P4orf3NNyUpCDR4cPYCqDZ22pVPOraHoVau1KuvStLcuVq3ToMHZ1vogWpj0a7cXn9dL74oSbNmqb1dV1/NmjxqB8GXSRyrr0+rV+u55yRp2jS1t2voUGpHTSH4ckiftO3Zo9tuU5Jo8mS1t2vkSJ7AodYQfDmk38PeXr31lrq6tG6dRo3K3h4H1BKCL6sk0bFjzORRswj+EpRKyufV1qbGRs2f3z+Bp3bUKoL/r4pFFQp6/321tKinR59+qhkzsrk99+2oVTyH/0+iSIWCtmzRsmXq6dEtt2jIEInUUesY4S9eOmPv6NDChTpyROPGacMGTZjA8I7ax63mRUpr37pVjz+uI0c0ZozWrtWECSqVFATUjhpH8BcjfQPMtm1atkyHDmn0aK1dq0mTstU7oOYR/AVL98P//bdWrdL+/RoxQmvX6p57FMfUjnrBlXph4jgLfsgQrVyp3l499ZSmT+//NTJAPWDR7iKlD9v7+tTQwPN21B2u1/NJ79v37NGTT+rYMQWBokgNDYztqEdM6c8p3Q9/4IAWL9auXfrll+wHyzO2oz5x1Z5d+tMsDh7UokXatUuNjbrvPgUBYzvqFxfuWaRV//STlizR55/rqqv09ttavlzil0OhjnHtnkW6headd7R9uwYN0htvaPlyRRG/HAp1jXv4s0hX4x97TN98o+ZmPfusikXl8+ylQ13jsdz59PRo0KBsaw21o84R/Dmd9ttjgDrHPfw5pWvyYmzHFYLgz4fUcQUheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCL6mxbHiuNongStIvtongDNLEsWxwrDa54ErS5AkSbXPAZn0nyII+o989ZWSRBMnKkkGHAf+G6b01ZckiqIs6bTq3l6tX6958zRzpl55RT09CgLxPzMuHSN8NUWR4liFQvbHo0e1b5/a2rR+vQ4fzg7m89q6VVOmKIqY4eNScQ9fBSeH9EJBYahiUV9/rc8+U1ubdu6UpCBQPq9SSZJKJe3bpylTlGM2hktG8BWVLsXlcsrnJemHH7R1q7Zt08cf6/hxSSoUFMeKIpVKuvFGTZ+uadM0e7Yk7uFRBkzpK+G0JbdSSR98oM2btXOn9uzJDhYKKhaz13Pnav58TZqk8eMrfaq4shH8ZZQ+Qj91Kv7dd1qzRh0dOnBAvb2SBqzG3XyzWlo0Z47GjtU112RfIYqUzzO8ozwIvvzSW/QgyNbYSiUdPqxPPtGaNfriC/3zz4APDkMNH64ZM9Taqrvv1qBB2fEokqRcjtRRTgRfTumAfHLV/eBBdXdr0yatX68//5SkXE5Jkg3po0Zp/Hjdf78efljDhw/4IiefzwHlRfDlke6BTZfi+vrU2anOTm3Zou5uSdkqXV+fJAWBpk7Vvfdq3jzddVf/pxM5KoDgL8lpe+N279amTers1I4d6umRTll1lzR2rBYs0LRpam7WsGES83ZUHMFftHROfupS3F9/aeNGtbWpu1sHD2YHc7ls0a6hQfPmadEi3XGHxozJ/rZYVC7HRhpUGsFfhHS3TP7fvQu9vdq9W2vWaMsW/fZbtk/mpMZGjRunlhbNn6/Ro7Mb+3Q9L5djFw2qg40355dWKmWpnziRbZh57z19+WX2MSfH6oYGjR2rKVO0ZIkmTx7wRdKn8Xm+5ageRvhzSRKVSv2r7nv3ascOdXRo40adOCFJhUK2H17STTepuVmzZunBB7On6DrTG+CAKiL48ztxQh9+qI4OdXXp+++lgavuuZzmztWsWZo6Vbffnn1KqcS8HbWI4M8snX7v369Vq9TVpb17s41xYZhN7yU1NWnxYs2cqaYmXXut9O9NfhgypKNGEfyZpW9x2b5d06cPOB4Euu46zZmj1lZNmKChQ7PjpZKCgAdsqHWsIJ3Lrbdq4sRsZW7ECDU16dFH9dBDAzbGpavuLMWhLnCdnln6npaRI7VwocJQs2drwQLdeWf/B5xcjeNZOuoIU/qzSm/jjx5VHOv66yVlb4lhKQ71i+AvSLGoMCR11D2CP4//30gL1C+CB4wwcgFGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI/wAoFuY3dY7fKwAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "action": "('move', [-1.4805408017483723, 27.33779031328395, 12.851395952668923])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0a63075cb469a0d3701a997d2c4754cfd2031dc1a3849f70d9ad63a36bf3cb81"} +{"episode": 38607, "episode_seed": 1521107372, "split": "train", "timestamp": "2025-09-15T23:24:42.530811", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1521107372, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "action": "('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "action": "('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "action": "('move', [-3.875825762515193, 1.5954553710318422, -12.060779835949395])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKpklEQVR4nO3df2hV9R/H8de5u9ehrh+mVoatTKMfFgqtUUawokKpNpAaNBCWRGF/iBGVytZwJphChSAZkhXC0lgjsNARY0YkDYtoG/bDytDCokGN1HL3x/n+cc/uvds3++LX2nbv6/n4z3OPcJH79H1+fO65QRiGAuAhNt5vAMDYIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgh+bIWhwnC83wR8EfxYyWSUTCoIFATj/Vbgi+D/ZWGoVErJpGIxJRIKQ508yZzHeCH4f1kQKB5XIqEjR/Taa2po0PbtDHmMlyBk1PyDsv+Y2Z7DUEGggQG995727tXnn+vLLyVp3jx1damyUpmMYvyHizEVH+83UBIyGYWhyspGjO50WvG4urrU2BhtmTRJVVVatkwXXCCJOY+xR/DnJpVSEKisTJLCUD//rP5+dXbqiSd02WWSdO21uvFGBYHq6/XAA7r66vxUJ3iMOQ7p/wlHj+rQIXV16Z139M03krRtmx57TJKSSR0/rsrK8X2DQBYT/myEoTIZBUE0pU+d0p496unRhx/qk0+ifcrLdfvtmjEj2j+RUGVldFmee3IYb0z4/6XwOlzhxiDQjz9q/nwNDkYbb7tN996r6motXKjp00fvDEwATPgzy15FL2z1wAHt2KHaWtXWKpPRRReppka9vVq+XHffrauu0syZI/5uFrVjwmDCj/Tf03hwUN9+q44Ovf22vvtOQ0Oqr9ebb0a7/f67gkDnnZf/6+m0YjHut2FiYsJLGj45z2RG3Frr6VF3tzo6dPBgtGXyZC1YoGuu0R9/aOpUhaHOPz96KXtun11mA0xU9hN+1HU4FZy0V1Xp00+jjVVVqq5WTY0WL87Pc6DYGI+j3GXz7F30Awf01luaMUNNTUqlFI/r4Yd14oTuv1+LFummm/K31rKvAkXIfsIfOqTdu/X++zp8WAMDuuQSHTyo2bMVhjp1SgMDuvLKaM9UStLo5XRAUfGbVNnBfvSoOjq0e7f6+nTyZPTSxRertjbaIQxVUaGKivx1OKY6ip/fhziVUiKhrVu1aVO0Ze5cLVyopUtVW6uKimhjLJZfLUPqKBV+H+XsGXt9vbq7dcUVuuce3XefZs2KXi28LcfCOJQc13P4VErHjmnOnPwfuXle4C+XF6IEuAaflU5H995JfRjrgEub8Qc9u/o1kaD2rExGkoJA6bTeeENLluinn/LbURqMP+uj1skbC8PooXuSPvtMS5eqsVH79unFF6P1hygZ3of0GB7gsZiOHNGOHdq8WadPq7xcp09ryhTt36+bb1Y6HV3rRLHzu0qPArmSX31VW7aot1dBoEQiqn3FCk2fzll9SWHCOyps+KOPtH69OjslKZFQMilJdXV65hndeuvonVHsCN5L9rtC2ak+MKCWFrW16bffVFamdFqS5szRhg2qq9OUKfmjfZQMgjeSXSIcBDpxQu3tam7WDz9IUiwWPc6jsVFNTZo2bcTOKCUEbyH7+zeJhCR98IE2btS+fdLwMXxZmZYsUUuLqqry+5N6SSL40pdbNvf119q6VS+/rGQyf7peVaWVK7VsmSR+GqP0EXwpyw3qMNRLL+mVV/TVV9ETAFIpTZ2q1avV2KjZs/M/pYHSRvClKffELUnd3Vq7Vh9/LBVch6+vV3OzbrhBkpJJxeMcw1sg+FKT/f5+9hu933+v9eu1c+eIY/jrr9eGDaqtzX8DmMN4HwRfUnI30gYGtGuXWlv1yy8qK4vuxl1+uRobtWaNJk+WuDJnieBLR+5Ze3v26IUXtH+/NHwMHwRqaNBTT2nBAomLc8YIvhTkZvUXX+j559XWpmRSkyZpaEiSFi3S00+rrk5SdGwPWwRf3HKzOpnUxo3avl3HjkUP3U6nNW2aWlrU0KCZM0essYMtgi9WudP1dFqdnVq9Wn19khSPK5VSebnq69XaGj10N5XicbuQCL4YFS6b6+/Xpk3auVNS/hi+ulrr1mnx4vz+pI4sgi8yuRUyx4/r9de1ebN+/VWJRPS0rnnz9OijWrVKiQTPpcNfIPhikjtjb2vTli3q6ZEKrsM//rhWrND8+Zyu44wIvggUzuq+PjU3a+9eDQ3l19LccYeefVY1NRLL5vC3CH6iy031wUFt3Kht20Z8fX3WLK1bp4cein5Bg2dR4e8RfBH480+9+67WrtXhw5Ki2i+8UA8+qNZWXXqpNHLxPHAmBD9xZRvu7dVzz6m9XSq4Dn/XXVqzRnfeOb5vEMWHh1hOXJmM4nH196u9PbrqPjSk667TqlVavlzxOAfwOGtM+Akt+5yphgbt2qVEQk8+qUce0dy50UvUjrPFhJ/QsqflTU0KAq1cqVtukYaXzVE7/g9M+Ilu1Do5vuiGc0HwRYMVsjh3DIuiQe04dwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkP2mfQzdcnaCMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8klEQVR4nO3b74tc1R3H8e+9s0lESIOCYCvaBrakPrGVkGxqAo1pQtvUJ1oatYFS8D8rKZYaBWMsDcU2GxcTQVoTsUVikWoCSYmCUZRkZ+7pgxk3aUqhv9w1+bxez3bm7nAZeM+559xzu9ZaARn6tT4BYPUIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIfrW1Vq2t9UmQSvCrZxhqPK6uq65b61MhleA/d8NQy8s1mVTf19xctVYXLtRkstanRaSuub78fLRWw1DDUOvWzV555506/frwu9/3x4/Xc8/V/Hy1ZrRnVc2t9Qncgqaz9K6r0ahGo7p0qX57bFh6pVtaqjNnZsecOFHz82pntRnh/z+m3+L1AS8v19Gj7ciRev1096c32tVxV1WjUXVdjce1bVudOlW9GRWrywj/PxmGam2W8dTVq3XqVB06VC+9VBcudJ98Mn159vZkUhvWD3v21k9/1hveWX2C/2+0Nlt1m/vs+7t0qb39dvfs4Xb4mfbX97rWrq+5VXV33VXf+Prkx0+MHn20v+ceF/OsDZf0/5nJpCaTWr9+9uffLtabb7aXl7rnDg+n36jpXY+5uRqPZwd85Z66f8vw8MP12I/6++9fm3OGFYL/t0yX3LtuNuv+9NNaXKylpXZisV5ealVdVbd+fU2GmoyravjSxvrO7n7nztq9uxYWZh8ymVz7BFgTgv+X/nkdrqoWF+vo0Xr11Tp9ui5frqrq++r7lSF92Lev2//DWthW3/xWd/vtVVWTSQ1DjUZSZ+0J/kbTwbzv/yH1M2fql08Pv36x3jvff/DB7MWuW9kkO2zbWk8e7Pfubffd123aNDtgeXn2c2DGzheE4Gemnbd2bR3u44/r3HvtyAvd07+Y/Pmt/sqVG6vduLG+9tXhscfqwOP9/Py1if30c3TOF5DgaxhqMqm5uVmfly/X2bN18mQ9e7gdX2zTdbjRaGUzbLvjjpqf73btqgMHaseOGz/KVnm+yHKDnw7pVTUazf48ebKdOlmLJ7pjv6krV6uq5tZVVY2Xq6qtm2vffqhf2D7s+W63b1+38l9TIuemkBj8Datxp8/Ui0cmr5zqX3utu3ixVXVdV3Nztbw8O3zb1vrBI91DC8O2hf7OO6s+uyiwDsdNJzH4qXffrWd+1Y6+MJz9y+j8+emtter72bBfVfPz9fjj9f3vtfn5uvvLs5+H5eXZJnlDOjejoOCnD7S8/349/3wd+vnkD3/sL1/uWrWVfa9VbcOG7u67a//+OniwHnigNm6cvTF97m265A43r6CttdOb4ceO1VNPVdWo66q6qtZVtdtuq82bu4Wtw4GfjPbuvfZAa9W1/TZS5xYQFPzU9u21ZUu99dZ0Jj88+GC/9cG2Z0+3/5HatGk0Peb6pTidcysJCr7vazKpzZtr58768MN64onasb0e2lX33jtrejy2T4ZbXNAcvj6bxp87Vx99VCuPsliHI0dW8NdrrcZjt9bIkhj89MabLXEESgweYrmchSCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyB/BzAyoniYKbQ9AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a032630a9d08b494f98781e94f73aa45fe45c73b2ca6d023fb0aec6b694ab5a3"} +{"episode": 38608, "episode_seed": 552108921, "split": "train", "timestamp": "2025-09-15T23:24:43.544644", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 552108921, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "action": "('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJN0lEQVR4nO3cS29cZwHG8Wdsx9QocS5q0iSUJjQkaZtu2CC+QWDNjhUblkiskVA/AmKF+gHYdoH4ELCilZo4UZrUC5xGKJe6vuTiiYfFDDY2KbSQW/38fjqyPKO5nJHP/7znvGfkwWg0CtBh6kWvAPD8CB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KzLzoFeCbZjTacXMw2L5/c3P7zvHCS2Yw2vX3o9PWZjD+ZTTKYJCpfx4ADoeT+6emMjX19UoeDjNjXHlZCL7AaLSd8fjn9PQk2tEoGxtJMj39NUoejfLwYdbXMz2d+fnJs/7+91y5kiSrq1lezvJyPv88Kyu5fTvvvZeTJ5/BB+Nrs+st8B+OrgeDzM5u31xfz9pa1tezupojR3LiRDY3MzWVP/0pi4t58CCrq1lZyepq1tZy+3YuXMh772V+Pkn++Mf84hdPfpef/SwnT06OGnihBL/XjUa5fz/Ly1lZyRdfZGUld+7kxz/O/v1J8umnef/93LqVBw+ytpb797O+Pll+/vP8+tcZDjM7m9/8Jh9++IQX/+ST/OpXk+DHL3j0aObmMj+f/fszP5/5+Xz72zl2LInaXwaC37vGg/NHH+WXv8zNmxkOc/9+hsOsruavf82FC0ly61Z++9s8evSEp1+9uv37u+/m3r0cPZqDByfL4cM5cCDf/34OHUqS0Sg/+Un+8pccOJB9+zI7u72Mb/JyEPzetXXGvrCQO3eSZDDIt76VffuysjJ5zPHj+elPc+dOTpzI/HwOH86hQzl8OPPzOX8+SfbtS5L338/GRqanJ8vU1PYswNhgkIMH88MfPtcPyNdn0m7vGo/wd+/mgw+ysbFjfD51Kq+88pTfbmtqcGzX7oCXg+DrfdkGsKtSU257guD3uq3vw2zl6isxxQQPRXyXHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooInpfOaJTNzYxGL3o99qKZF70CkNFoe0kyM5PB4EWv0x41GNmR8hz9++b2721/8UX+9re8/nrm55/PShUxwvNMjMPeynswmIT9xKH7xo1cupSrV7OwkGvXcvt2Njfzu9/l4sU8fpzp6ee10gUEz9Ox67B8eno78i0PH+bhw6yt5cqVfPxxFhby8ce5di1ra3n0KI8e7Rj/FxZy8WI2NwX/NAme/9F4Xm08wTYYZN++3XmvrmZ5OZ9/ntu3c+1aLl/OlStZWMji4u6XmprK5ubuO8cPc8b5dAmer2qr8NEog0Fmdm47w2E++yy3buXmzSwt5dNP88knuX49169nfX3HI8e7ho2N7ZjHtR89muPHc+JETpzI8eO5eDHJ7nfh/2TSji+1tWmMC981gN+7l+vXs7iYGzeyuJilpSwt5ebNfPbZjoeNB/8kjx7tuH92Nm++me99L2++mdOn893v5jvfmSyzs8/uM7UTPF/JaJSrVyfLwkJu3Mi9e7l7N/fu7R7Ak0xPP+FC+smTeeutnD+ft97K2bM5dixHjuTIkRw8uPvp48F/etrZ+9MneHYbDrOxkbt3c/lyLl/OpUu5dCmLi7l/Pw8e5MGD/3JePTOTmZnMzeXcubzzTt5+O+++m/PnMz+fubnMzWVq57e9RqMMh0kyNTU5jnAR/tkRPMk/D9qXlvL73+fPf86VK1la+kpPnJvL/v05cCCHD+fcubz9dt55Jxcu5MyZyZH8E99rfNL+n6/V8SyYEiHJ5OrX8nL+8IcsLmZ6epLrxsbuR772Wo4dy2uv5fjxnDmTs2dz9mzOncuhQ1/64v86powjd6z+ogieJJPD7PH82eJiHj/O48dJsn9/Tp3K6dOTebU33sgbb+T113Pq1O5XGA63h+tdh+UG8JeH4EmSwSCPH+eVV/KDH+Thw/zoRzlzJqdP5+jRvPpqXn1197dcR6NsbGy3PTXl+tk3g3N4JsYbwupqhsMcOrR7WN7cnIz5pta+0QTPk21dVzO1tpc4DmOHrf3/lH+VsBcJnh0M43ub3TgUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwU+QeIiQZ7iTkx9QAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3aS2+c5QGG4Wd8SALEkwTFOZHUSUACCdb8hrJmx4pNVxUS60oVP6FrNv0JXSDW3XdFQUKlEsJBJhwcpxDs2MSeeLqYqZ2DoaUiB/Jcl16NZkbzzcGee973+2YG4/E4QIeZR/0EgIdH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk7lE/AX5txuO7Lg4G+9fv7u5fORk8Zgbje/5/dNp7G0zOjMcZDDLznwXgaDS9fmYmMzM/r+TRKHPmlceF4AuMx/sZT05nZ6fRjsfZ2UmS2dmfUfJ4nFu3srmZ2dkMh9OtVlfzySdJsrGRGzdy40a++y7r61lbyzvv5Ny5B/DC+Nl89Bb4idX1YJBDh/Yvbm7m5s1sbmZjI88+m7Nns7ubmZm8/36uXMkPP2RjI+vr2djIzZtZW8vLL+eddzIcJsl77+V3vzv4Ud54I+fOTVcNPFKCf9KNx9nayo0bWV/P999nfT3Xr+e3v83Ro0myvJx3383XX+eHH3LzZra2srk5HW++mT/8IaNRDh3KH/+Yv//9gDv/9NO8/fY0+MkdLi7mqacyHObo0QyHGQ7z9NM5dSqJ2h8Hgn9yTSbnDz/MW2/lyy8zGmVrK6NRNjbywQd5+eUk+frr/OlP2d4+YPN//nP//Cuv5Ntvs7iYY8em48SJLCzkhRdy/HiSjMd57bX87W9ZWMj8fA4d2h+TizweBP/k2ttj/8c/cv16kgwGOXw48/NZX5/e5syZvP56rl/P2bMZDnPiRI4fz4kTGQ7z4otJMj+fJO++m52dzM5Ox8zM/lGAicEgx47l1Vcf6gvk53PQ7sk1meH/9a/85S/Z2blrfl5aypEjv/DD7R0anLjn44DHg+Dr/dgb4J5KHXJ7Igj+Sbf3e5i9XP0kppjgoYjf0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORuUf9BOg1Hmc8TpLd3QwGmZ191E+owGA8+ZPDAzbJ+84xOyvyh80MzwNxZ9gTc3MZDO692cZG1tayspLDh/PqqxmPD7gNvyDB8//7sdXhYDAdd9rayhdfTMfKSq5ezbVrWVvLd99lZSWvvJK//nV6h5p/cATPT9lLeu/MnSX/WJm3bmV5OcvLuXIlV65keTlffJHvv8/GxnTcunXvJl99lbW1LC5O9+d5QATP1CTpO5fikwNpk/zuifD27ezsZHs729v56qt8+mmWl/PZZ9Nx7Vq2tzMaZWcnt2//T4++vZ0vv8zi4o+uGvhFCL7a7m52d+86hHb/7Lq1NZ2W19fz7bdZWZlO3ZPTzz/P7u4B9zwzc/D1g0EWFvLMM1lYyNGjOXkyly7lN7/JSy/lwoXphjw4jtKzb3Mza2u5fj1ra1lbyzff5OrVrKzs73jf3/Dc3LTt0eiAOzx+PCdP7o/Tp3PhQi5cyPnzOX8+p049hNfEXQTfaLJc393Nxx/no4+yupqrV7O6mtXVXLuWa9eyunrAbvbet2ij0QHlHz+e557LuXM5dy7PPZczZ3L6dBYXc+rU9PR+t29P99gnw9z+EAi+0ST48Ti//33+/OcD2k4yMzP9ULj/DTIcTtfhFy9maSkXL+b06QyHOXYsw2EWFjJ3357ieJzRaPq49wweJvvwjQaDjEaZm8uRI7l164D97dnZ6Vr9mWeytJTLl3P5cp5/PpcuZWkpw2GOHMmhQzl8+OBpeTJ1J3eFPT//MF4aP03wpSZBLi3lqady4kTm5/P00zl5Ms8/n4sXc/lyLl3K5cs5c+a/r7Qnq4A7D+b7Cd1jy5K+1O5uZmbyySf54IO88ELOn8/Zs/99q3veLBbkvzqCZ2ryFd3eRH3g1+/82gm+2l7kDqGVEDwU8dUnFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPk3CpgKb1oXy34AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "action": "('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3aS2+c5QGG4Wd8SALEkwTFOZHUSUACCdb8hrJmx4pNVxUS60oVP6FrNv0JXSDW3XdFQUKlEsJBJhwcpxDs2MSeeLqYqZ2DoaUiB/Jcl16NZkbzzcGee973+2YG4/E4QIeZR/0EgIdH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk7lE/AX5txuO7Lg4G+9fv7u5fORk8Zgbje/5/dNp7G0zOjMcZDDLznwXgaDS9fmYmMzM/r+TRKHPmlceF4AuMx/sZT05nZ6fRjsfZ2UmS2dmfUfJ4nFu3srmZ2dkMh9OtVlfzySdJsrGRGzdy40a++y7r61lbyzvv5Ny5B/DC+Nl89Bb4idX1YJBDh/Yvbm7m5s1sbmZjI88+m7Nns7ubmZm8/36uXMkPP2RjI+vr2djIzZtZW8vLL+eddzIcJsl77+V3vzv4Ud54I+fOTVcNPFKCf9KNx9nayo0bWV/P999nfT3Xr+e3v83Ro0myvJx3383XX+eHH3LzZra2srk5HW++mT/8IaNRDh3KH/+Yv//9gDv/9NO8/fY0+MkdLi7mqacyHObo0QyHGQ7z9NM5dSqJ2h8Hgn9yTSbnDz/MW2/lyy8zGmVrK6NRNjbywQd5+eUk+frr/OlP2d4+YPN//nP//Cuv5Ntvs7iYY8em48SJLCzkhRdy/HiSjMd57bX87W9ZWMj8fA4d2h+TizweBP/k2ttj/8c/cv16kgwGOXw48/NZX5/e5syZvP56rl/P2bMZDnPiRI4fz4kTGQ7z4otJMj+fJO++m52dzM5Ox8zM/lGAicEgx47l1Vcf6gvk53PQ7sk1meH/9a/85S/Z2blrfl5aypEjv/DD7R0anLjn44DHg+Dr/dgb4J5KHXJ7Igj+Sbf3e5i9XP0kppjgoYjf0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORuUf9BOg1Hmc8TpLd3QwGmZ191E+owGA8+ZPDAzbJ+84xOyvyh80MzwNxZ9gTc3MZDO692cZG1tayspLDh/PqqxmPD7gNvyDB8//7sdXhYDAdd9rayhdfTMfKSq5ezbVrWVvLd99lZSWvvJK//nV6h5p/cATPT9lLeu/MnSX/WJm3bmV5OcvLuXIlV65keTlffJHvv8/GxnTcunXvJl99lbW1LC5O9+d5QATP1CTpO5fikwNpk/zuifD27ezsZHs729v56qt8+mmWl/PZZ9Nx7Vq2tzMaZWcnt2//T4++vZ0vv8zi4o+uGvhFCL7a7m52d+86hHb/7Lq1NZ2W19fz7bdZWZlO3ZPTzz/P7u4B9zwzc/D1g0EWFvLMM1lYyNGjOXkyly7lN7/JSy/lwoXphjw4jtKzb3Mza2u5fj1ra1lbyzff5OrVrKzs73jf3/Dc3LTt0eiAOzx+PCdP7o/Tp3PhQi5cyPnzOX8+p049hNfEXQTfaLJc393Nxx/no4+yupqrV7O6mtXVXLuWa9eyunrAbvbet2ij0QHlHz+e557LuXM5dy7PPZczZ3L6dBYXc+rU9PR+t29P99gnw9z+EAi+0ST48Ti//33+/OcD2k4yMzP9ULj/DTIcTtfhFy9maSkXL+b06QyHOXYsw2EWFjJ3357ieJzRaPq49wweJvvwjQaDjEaZm8uRI7l164D97dnZ6Vr9mWeytJTLl3P5cp5/PpcuZWkpw2GOHMmhQzl8+OBpeTJ1J3eFPT//MF4aP03wpSZBLi3lqady4kTm5/P00zl5Ms8/n4sXc/lyLl3K5cs5c+a/r7Qnq4A7D+b7Cd1jy5K+1O5uZmbyySf54IO88ELOn8/Zs/99q3veLBbkvzqCZ2ryFd3eRH3g1+/82gm+2l7kDqGVEDwU8dUnFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPk3CpgKb1oXy34AAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI2ElEQVR4nO3aS2+c5QGG4Wd8SALEkwTFOZHUSUACCdb8hrJmx4pNVxUS60oVP6FrNv0JXSDW3XdFQUKlEsJBJhwcpxDs2MSeeLqYqZ2DoaUiB/Jcl16NZkbzzcGee973+2YG4/E4QIeZR/0EgIdH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk7lE/AX5txuO7Lg4G+9fv7u5fORk8Zgbje/5/dNp7G0zOjMcZDDLznwXgaDS9fmYmMzM/r+TRKHPmlceF4AuMx/sZT05nZ6fRjsfZ2UmS2dmfUfJ4nFu3srmZ2dkMh9OtVlfzySdJsrGRGzdy40a++y7r61lbyzvv5Ny5B/DC+Nl89Bb4idX1YJBDh/Yvbm7m5s1sbmZjI88+m7Nns7ubmZm8/36uXMkPP2RjI+vr2djIzZtZW8vLL+eddzIcJsl77+V3vzv4Ud54I+fOTVcNPFKCf9KNx9nayo0bWV/P999nfT3Xr+e3v83Ro0myvJx3383XX+eHH3LzZra2srk5HW++mT/8IaNRDh3KH/+Yv//9gDv/9NO8/fY0+MkdLi7mqacyHObo0QyHGQ7z9NM5dSqJ2h8Hgn9yTSbnDz/MW2/lyy8zGmVrK6NRNjbywQd5+eUk+frr/OlP2d4+YPN//nP//Cuv5Ntvs7iYY8em48SJLCzkhRdy/HiSjMd57bX87W9ZWMj8fA4d2h+TizweBP/k2ttj/8c/cv16kgwGOXw48/NZX5/e5syZvP56rl/P2bMZDnPiRI4fz4kTGQ7z4otJMj+fJO++m52dzM5Ox8zM/lGAicEgx47l1Vcf6gvk53PQ7sk1meH/9a/85S/Z2blrfl5aypEjv/DD7R0anLjn44DHg+Dr/dgb4J5KHXJ7Igj+Sbf3e5i9XP0kppjgoYjf0kMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORuUf9BOg1Hmc8TpLd3QwGmZ191E+owGA8+ZPDAzbJ+84xOyvyh80MzwNxZ9gTc3MZDO692cZG1tayspLDh/PqqxmPD7gNvyDB8//7sdXhYDAdd9rayhdfTMfKSq5ezbVrWVvLd99lZSWvvJK//nV6h5p/cATPT9lLeu/MnSX/WJm3bmV5OcvLuXIlV65keTlffJHvv8/GxnTcunXvJl99lbW1LC5O9+d5QATP1CTpO5fikwNpk/zuifD27ezsZHs729v56qt8+mmWl/PZZ9Nx7Vq2tzMaZWcnt2//T4++vZ0vv8zi4o+uGvhFCL7a7m52d+86hHb/7Lq1NZ2W19fz7bdZWZlO3ZPTzz/P7u4B9zwzc/D1g0EWFvLMM1lYyNGjOXkyly7lN7/JSy/lwoXphjw4jtKzb3Mza2u5fj1ra1lbyzff5OrVrKzs73jf3/Dc3LTt0eiAOzx+PCdP7o/Tp3PhQi5cyPnzOX8+p049hNfEXQTfaLJc393Nxx/no4+yupqrV7O6mtXVXLuWa9eyunrAbvbet2ij0QHlHz+e557LuXM5dy7PPZczZ3L6dBYXc+rU9PR+t29P99gnw9z+EAi+0ST48Ti//33+/OcD2k4yMzP9ULj/DTIcTtfhFy9maSkXL+b06QyHOXYsw2EWFjJ3357ieJzRaPq49wweJvvwjQaDjEaZm8uRI7l164D97dnZ6Vr9mWeytJTLl3P5cp5/PpcuZWkpw2GOHMmhQzl8+OBpeTJ1J3eFPT//MF4aP03wpSZBLi3lqady4kTm5/P00zl5Ms8/n4sXc/lyLl3K5cs5c+a/r7Qnq4A7D+b7Cd1jy5K+1O5uZmbyySf54IO88ELOn8/Zs/99q3veLBbkvzqCZ2ryFd3eRH3g1+/82gm+2l7kDqGVEDwU8dUnFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPk3CpgKb1oXy34AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "action": "('move', [-1.813376311329814, 14.38421852403976, -1.920585291992154])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGKUlEQVR4nO3a224b1xmA0Z+kI+Vg11Zr5DJAgLxMbvKweY28QRLfBwgQ6GBJViNyekGVdQ3HiVs3dvWthY3BnhEIDCF92sMZrpZlGaBh/b5PAPjzCB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyEP3vcJcE8sy5t+ulr9WefBGwme13i53t+ar1Z347DLh0/wIYdc95OXt7PMoeX1etbrtyt5u53tdm5v99tl++vcbud2u7q8nNPT+fnn2Wzm66/f4VvhPyT4++z2dpbdv0rebO5K/iMNL8vc3Pz7eLHcvFhububF31dXV6vT0zk7m7OzOT2d/fxu8sty+sv27Hyuf90cbhJ98cV8//0cHc24FnivBH+fPXjdr/fqai4v77Z3k+e7q+fL5eVcXq+urtfn53Nx8eo4P5/n58vF2e7F7cysZ95Q7Xq1Wq83d3mv17Msc3Q0Z2fz+ee/81Gf/zXB30PLMqvVXF7Ot9/Osx+X6+fbs4v186v11dVcX89hux/X13N1uXpxsw/xzYvverVabx7M5p/PdpZldrvZ7V7NeFlmezvblw5cXKzOz++Ct8K/R6vFv9x7Zx/VTz/NN9/Md98tM8vM6vdinplZrWeWt1qEl0cP5+Svq8eP58mTu3FyMofdx4/n5GQ+/XQePpyvvpqPP/4v3hXvghX+3jo6mk8+mdelvhyOrFZ3H+z3Yz/fbObBg93J4+Xkb5t9wIex3z0cfPhwtdnMfrz8cmv4B0vw99bx8Xz55fzwwzz8bNab+eijOT6e46PlL5/dPnm6efJkvU/35cX5MI6P38E3sg5PAfZXHGtf8voAuKS/t3a7efZszs7m6dN59GgePbq7i/ZHvO0fhSX9/4XgQ7bb2e1m5tVn7L+1y/0j+Ptsf//8kLGSETyEuJECIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hPwDJiAO0MhNbswAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f7633028caf1cad9796b6269ba8e6562fd7eec0c7c0eefdb1539e0cdc84bf20f"} +{"episode": 38609, "episode_seed": 3359302250, "split": "train", "timestamp": "2025-09-15T23:24:44.211382", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3359302250, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "action": "('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "action": "('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALZUlEQVR4nO3dW4hV1QPH8d/e55wZTEMnEZxqUsQLoeGlJKYeVLDMein/KhlWJpWWIpHgSxRIEBlRPSTaRc1LaTR5xRp9KCV1XgqEehCjCSRIIqbJ+8w5Z+//wzpN8+9i+c88Z/bv+3nTeVk6852199prrxOlaSoAHuJqDwDAlUPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfiak6bVHgGyi+BrSJJIUhRVexzILoKvFWmqONaxY9q/X/olfuDyIviakKaKIh0/rkce0YwZ2rpVcaxSqdrDQuZEKbeM1RZq/+EHNTervV1xrP791dKiO++sfAm4XJjhqy+KlKaqr9fUqZU/nj6tBQv0+eeKIq7tcTkxw9eEMJOXSpo/X++/r7o6dXdr3Djt2KGRI1UuK5er9hCRCczwNSHM5Pm83nhD06eru1v9+umrr/Too/rxR+VyKperPURkAsHXijhWuayBA/X225owQefPq75eBw9q0SJduKBcjufzuAwIvobkckoSDRumd95RU5O6upTLaft2LV2qJOFmHpcBwdeWOFaaavx4bd6shgaVy8rntW6dnnmm8usA+CcIvuaE1bspU7R2rQoFlUoqFPTii3rtNcUxzeMfIfhalM+rWNTcuXr1VUlKEkWRVqzQpk2KYxWL1R4f+iyCr1H5vJJES5Zo5UqVy6qrU7Go5cu1b58KBRWLrOHh/8Fz+NoVvjNRpKVLtXq16uvV1aURI9TSookTlSSK+XWNS0TwNS1Nlabq6tJDD6mlRfm8SiXddJP27lVTExtvcckIvtaFqjs7NWuWPv20cj3f3KyPPtKgQTSPS8NFYa0Lm/AGDdL69Ro/XsWi6uvV1qaHH1a5zGZ7XBqC7wPCq7LDh2v9+sqGnLo67d6txx6rrN5xlYa/ieD7hnD3PmmS1q/XwIEqFhXH2rBBzz4rSaUSzeNv4R6+LwmvzW3frgceULlcifyVV7RsmcplxTH38/gLBN/HhObXrNGTT1YK79dPGzZo9mwW8PDXuKTvY8Krsk88oZUrK8t1Z85o4UIdPMgCHv4aM3zf0/MdW7ZMr79e2ZBz7bXat0/jxnFaBi6G4PuksLv+7FktXKgPPqg0P3asWlt1/fU0jz9F8H1VWKU7eVJz5+rQocoyfnOzdu7UkCGVQ6+B3+CHoq8Kr8c3NmrjRo0ZU3mLtq1Njz+uc+e4n8cfI/g+LDQfXqdpbFSxqLo67dqlp59WFDHD4w/wQ9G3hZPwxo3T1q266ip1dyuX05tv6rnnJD6+Br9D8H1emOenTNGWLerfX5LiWM8/r9WrK3tyWaVBDxbtsiBsp49jrV2rp56qnHhZKGjLFv3nPyza41fM8FkQRZWT8BYt0ooVKhYVRSoWtXixPvuM0y/xK2b47EhTJYlKJS1ZonXrKnvyhg5Va6vGj2eeh0TwGRO203d3a/Zs7dlT+ciqG29Ua6tuuIFTsUDwmROq7uzU3Xerra3S/O23a+9eDRxI8+745mdN+CiLQYP03nsaM6byoO7wYS1YoDNnKl+FLYLPoLDNbvhwtbRo2DCVyyoUtHOnli/XTz9xQo41gs+mng05GzbommtUKklSa6tOnWKSt0bwmZXLqVTStGlas0ZRpFGjtGuXmpq4jbfGol3Ghby3btXkyRo5stqjQbURvBHOwEK+2gPAldDzqVUwR/AWSB0BqzeAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB6QJJOTPQke3no69zgkhBNv4C2K9PLLuvpq3Xefhgyp/E12cYglvP38s0aMUEeHVqzQqlUqFlUoVHtM/yIu6eEqSZSmamlRR4eGDNGsWZIyf2R/xv95wJ8Kp3a/+66iSBMm6JZbVC4TPJBFoe0vvtDRo0pT3XuvcjmHg/sJHpZC29u2qbNTjY2aN09pqlyu2sP61xE8/CSJ8nmdPq3DhxVFuuceNTQ4TO8ieDgqlyVp2za1tSlJtHChlP3luoDn8PAT2r75Zj34oE6e1KRJ1R7QlcNzeFgKn6pbLKqzU4MHm0zvInjAissvNuBXpZKOHVOxKLm8M9OD4OEk5H30qJqbtXixTpxQFClJqj2sK4fg4SQ8ePvwQ3V26pNPdOFCtQd0pRE8zJw/ry1bJOn++zV6tEolnxU7ETyMhOv5PXv03XdqaND06dUeUBUQPGyE4DdulKSJEzV1qsl22t4IHh7Cg/fjx3XkiHI53XWXcjmVSg7baXsjeHgI22k3bdKpUxo8WPPnK02Vt9tpSvAwEC7dy2UdOaIk0dSpamw0eVvmN9hpBxtpqu+/1/79GjNGt96qKCJ4IKOSpPJWrDeCh4HeV++WV/I9uIdH1oXCDxzQCy+ovb3ao6ky9yscZFyo/exZvfSSPv5YHR1atcrk+Lo/xAyPTAt3rN98owMHlMtp7FjFsZLEs3YRPDIu7JPfvVvnz2v0aE2bZpt6QPDIunPntHmzJM2YoeHDbS/mA4JHdqWp0lSHDun4cQ0YUHlbxm87bW8Ej+wKk/lbbymONWGCpkxRkri9LfMbBI+MCitz7e3av19Jojvu0IABDh8mdXE8lkN2RZG6ujR5sr79VnPmGL4M+3vstEN29azPnTypoUOrPZqaQPDItHCClfdlfG/8RyCjkkSdncrnFcduZ1FfBMEjc8JZFydOaN48zZypL79UFNF8QPDInND24cNqbVVrK6n3xio9siUcXHXhgvbuVRxr5kyNGlXtMdUQZnhkS5jP29u1b5+SRHPmqF8/8+20vRE8siXcru/YoY4ONTXpttskWX2Y1MURPLIlBF8oSL+8LWO/nbY3nsMji7q69PXXamjQdddxPd8bwQNGWKVHFvVMY8zt/4vgkUV0/idYtAOMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wInJxvSfwK30wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "action": "('move', [18.726851828427606, -11.003045615110869, -31.089353366075414])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1addc0dbb509141dd818553f14127ca3bf184c379e1b4c216b931721e3338a46"} +{"episode": 38610, "episode_seed": 450765576, "split": "train", "timestamp": "2025-09-15T23:24:44.857979", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 450765576, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "action": "('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJq0lEQVR4nO3du68V5R7H4e/aFxQFMdGtqATxilBRGGpNbEwsLCxsbIwohTH+ETZHKytJLAyx0MbWxs7eQiIIKqhoZHvDCEJE1uUUM+Il0Zy4Z62Z4+95QrH2atYke39433nXOzOj2WwWoIalvg8AWBzBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDISt9HwD/TrNZ+2I06vU4+CMjPHMxGrWpj8d9Hwq/I3jm4uLFnD2b0SgrJpFD4rfBXLz1Vg4fzn335a678swzueaavg+IJMloduVkCzoynebgwbz6apJs2ZJTp7K2ltnM+Xz/jPB075dfcvJklpeztJSHHsqWLX0fEL8SPF1qhvFffsmxY5lOM5lk165cfXViuX4YLNrRvR9/zPp6u1y3e3dGozhxHAjB070TJ5Jfh/Q770yS6bTP4+EKwdO9Dz9MkvE4mzfnxhv7Php+R/B07/jxJJlOs3Nnrr8+cQI/GIKne8eOtS/uuCM33JAIfjAET5dGo0yn+eij9sfbb8+2bb0eEH8keDrTLMV/9VV++qkd0nftSpLx2Ag/FIKnYydO5PLlNv4dO5L4Tm5ABE9nmu/eTpzIpUtJsnVrbrklSZb8lQ2GXwWdaUby48fb8m+5Jbfe2u8R8WeCpzNN8FdW7LZvz223JZboh0TwdGM2y/JyxuOcOdO+c/PNue66TCaCHxDB043pNEtL+eKLnDvXvtMM74IfFMHTjWY+f+pUG/zSUu66KzGfHxjB040m+E8/bYPfujV33JFYoh8Yvw260QR/8mR718pt29rr5IzwgyJ4utGEffp0++PWrdm1y22tBkfwdGA2y+pqLl3K11+379x4YzZvtql2cARPB5qdNl9++Vvw99yTmM8Pj+DpwJXLZtbXk2Q0yu7d7QsGRfB0oAn+zJl8/32SbNok+IESPJ358svMZllayqZN2bMnEfzwCJ4ONDeobZbop9Ns3txeCS/4oRE8G9V893bhQj77rH1n166srLgMfogEz0Y1YZ89m88/b9/Zu7fHw+HvCJ5u/PBDPv20fX3ffb0eCn9N8GxUM8J//31+/DGrqxmNjPDDJXg2qrk8plmxa54qZYQfLMGzUc1SfPN4qfE427Zlba3fI+IvCZ4Naebzly61d7aaTrNnTzZtSnwnN0iCpwM///zbrezuvTdXXdXr0fDXBE8HLl7Mxx9neTlJdu9uXzBAgqcD6+v5+ed2v12zYmfXzTAJng40z4eeTJJk585E8EMleDakWZlrng89HmdtzdMjB03wdKAZ4ZPcfXcbvCX6YRI8Hfj9A+GN8EMmeDbq4sV8/nm73+7OO3PVVe0drxggwfPPXXmY3JWbVTaXwU+npvQDJXg26sSJTCaZTrOyku3b+z4a/pbg+eeaqfsHH2Q8zmyWm29ugze8D5bg2ajTp9stN2trgh+60cwOCf6p5uZWH36YI0fy3nvZvj3PPptNmzxwZrgED4Ws9H0A/N+bzTKbtSvzLpsZOCM8FGLRDgoRPPRqOs1slqNH2/3Jc55xCx561Xylcfhw3nknScbjuX6a4KE/02mWl/Pttzl8OKurC/hAwUN/mu0Kr72Wb77Jtdcu4AMFDz1pJvOffZaXXkqSy5cX8JmCh540w/t//pPvvsvOnbn//uTXx3rMjeChD82FR+++m9dfz+pqnngi+/ZlPBY8/Hu9/34uXMj27Tl4MNNplpbmfRGCrbXQhybsp57Kjh2ZTLJjRxv8vD/W1lro30Jqjyk99OP8+fY0fjLJbLaY2iN4WKgm8jNn8sgjOXgwX32V5eVF3jxA8LBYs1neeivvvptXX13M/vnfEzwsSjN1P3Om3Wnz5JN58MFkobcEEzwsShP2oUM5fTo33ZSnn87ycvtEvkXxtRwsRDNvP3UqL7+cpaU8/nj2789ksuCbBBnhYSGanfMvvJBz57JzZ555Junh/r6Ch/mbTLK0lLffzptvthtp9+5t31wsU3qYv2Y+f/58Nm/ONdfkuefaK+EXzk47mL+mstEoR47k7Nk88EBf9+4XPCzKlcj7e1KHc3iYs+k0X3yRH37IaNTesrK/5/IIHuameUbHd9/l4Yfz6KM5dmzxq3R/YtEO5qYZyd94I0ePZnU1n3ySvXv7HeGdw8N8NGF//XX27cv6eg4cyCuvZDRq//XElB7m6cUXs76eW2/NU09lebn3B+sKHuagCfvkyRw6lCSPPZb9+3P5cu9P23QOD3OzZUsOHMh77+X555P0Xnucw8Pcfftt1tZ6n8w3BA9zM5tlMsnKykBqj+Bh7hZ1g8r/heChkKH8xwMsgOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBTyX8uKAhXCwdu7AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "action": "('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "action": "('move', [3.090361689459718, -1.1246659240076597, 53.480465812514296])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI/ElEQVR4nO3dvW9bZR/H4Z+dpK+pKkRfaQi0AQlFDB1QJTYYkZDowAADC2qhYkD8BywswMREJQaEGGBBSAz8ARUrA0h0aVPShL4lKa2aUhVS289gqy15wgM8YDvK97p0FFWu6xxX+vjc9/Ht40an0ykgQ3PYOwAMjuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyOiwdwA2lE6nt1VVu13NZo2MDHuf7tPodHcN+Pvu5n13GxlZX4Wv4ggPf9X9R+/uH0ZHq/lf0+Lr1+vKlVpYqIsXa3Kynn568Hv6hxzhYbU1m2g01rjxzp2am6u5uZqfr/n5mpurxcXedvVqLS7W0aP15Zf93t+/wRGeUHcP1F2Nxr2k12y7qi5frrNn68cfa2amzp2r2dm6fr2Wl2t5uW7erF9/XeOfnD//r+/4PyJ4Nr5VQ/GqajZ7Q/FVbbda9dtvtbJSt27V/HydOVMzM3XmTJ09W7OzdetWraz0tj/VbNbYWC0t9U7drROCZwNqt3uFt9tVtfZMe2Wlbt6s5eW6caOuX6+5uTp3rrfNzNRPP63xsI3G2qP9qtqxo8bHa8eO2rGj9u6tqak6dKgOHaqpqX/1if1j5vBEuHatFhdraakWFmphoS5cuDfxPn9+9Wi80ajR0Wo0qtWqVmv1Q23dWrt21e7dvZ/799fkZE1O1sMP1+Rk7do1sOf0/xA8G02nU7Ozdf58XbhQ8/N18WJdudI7bb6wUFevrr5/s1mjo1W1dt5799bERG87cKD27at9+2rPntq7t/bsqU2bVt+/1ap2u3dG4O62fgiejeb27Xr55frmm7p5s27fXuMOIyP3Rvv327atpqbq4ME6dKgOHqxHH63du2vnzt42Pr7GQ62sVKfzu7bXz3R9TebwbDTNZrXbtbS0xl81GjUyUqOjNTZW+/fX44/X1FRNTdVjj9XUVO3cWVu21JYttXnzGoflTqdardV5j40N4An9mwTPRrNpUz3xRH31Ve3cWZs31/btNT5eExO9E2ndvA8erK1b/9eD3D2x3y2/+3O0H7l0JwCnT1ejUdPT935lfwieDeiFF+qBB2p6uiYm6pFH6sEH/+T+q+a1A517dzrVbNYnn9SBAzU9XXfu9HXYYA7Pxnf/ULxqPZ1I675Hv7hYTz5Zb79db7xRKyt9Dd4Rng2o3a5Wq5rNXtvr99Ms3Reejz+uhYXavn0Av1DwbEB3F9Kta91Rx+xsvf9+Vf2l5Xv/2Pr/X4ENqnt4f/fdWlqqycl66qmq6vcLleBhGLrLAE6dqk8/rbGxeuWVOny47twRPGxc331Xv/xS+/bViRO9E3h9Pp1oDg/D0A372LGamKhWqyYmBvOpOm/LwTowqM/QGtLDMCwv96bx3UUCg3pTQfAwQN3IL12q55+vEyfq4sUaGRnkMiDBw2B1OvXFF3XqVH30UZ0+3btlUAQPg9Idul+61Ftp8+qr9eyzVX98Db0+EDwMSjfskydrbq727KnXXquRkTWuudFP3paDgeiO28+dqw8+qGazXnqpjhypVmvAC/0d4WEguivn33mnbtyoycl6/fWqgQ7muwQP/df97N7XX9fnn/cW0k5P924cLEN66L/ueH55ubZurW3b6s03q90eyqd2rbSD/utW1mjU99/Xzz/XM8/0+1JWf0TwMCh3Ix9S7WUOD33Xbtf8fF27Vo1G7ztxhneFLcFD33QvfLu0VM89V0eP1unTQ78Qj5N20DfdI/lnn9UPP9TYWJ09O4ALUf/JHpnDQ190w75ypQ4frsuX6/jx+vDDoX/7lCE99NN779Xly/XQQ3XsWO87roZ6iWzBQx90w56ZqZMnq6pefLGOHKmVlaFfMdscHvpmfLyOH69vv6233qqqodde5vDQd4uLtXv30AfzXYKHvul+4+zo6DqpvQQPfTeoC1T+FYKHIOvlhQcYAMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkP8At0H7YONnXkQAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "596f86fbbe629e1cef2516d0370c7192e7c759a451a55f2464d84d4e2b3e25fd"} +{"episode": 38611, "episode_seed": 3452449639, "split": "train", "timestamp": "2025-09-15T23:24:45.848703", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3452449639, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "action": "('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "action": "('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "action": "('move', [-1.7120064054530069, -1.528890815924391, -37.223821007934696])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f48054923f7b73be9bd5f699fec24adc77ffdeb89e8913527caf2559899119e8"} +{"episode": 38612, "episode_seed": 2775069015, "split": "train", "timestamp": "2025-09-15T23:24:46.487463", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2775069015, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "action": "('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK5UlEQVR4nO3dXYhUdQPH8d8587KmZBfrRQtFEZaRIoZSSnhRWCIqFovohS4ViVI3YV6k1d5kN4JeRFCWZCYkJEa17VarVgr50gskdCMihmEYqKtm687OnHOei3NyfcyeVlyfmTO/7wdvnBnlD853/i9njhskSSIAHsJ6DwDA/w/BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4DEMcK4rqPQiMgGK9B4AGliRZ6uVyvYeCkcEMj38QRUoSFQoql3XunA4cYJJvAkGSJPUeAxpDkigIrnzwm2/U3a1vv9WpU9q2TVOnKo4VMk/kFUt6e+m6PQz/q/ZKRZ2d2rlTR4/q/PnswS+/1NSpiiKCzy9meFdJoihSEKhQyB45e1alksaMUZLo4kU9+KB+/lnFom69VY8+qsWLNXOmbrqproPG9SJ4S7Wain8t7vr6dOSIDh7U5s2aNUvr1imKVCho40Z98YU6OjRnjkaNqutwMWII3sYVW/SBAe3bp4MHtXevdu9WtSpJEydqzx61tl65UY9jBcFVdvjIG/bwzS79QL+Ua1ryG2+oq0vff6++vuxlEyZo9mw98ohaWrLXpxfkwjD7haZA8M0oSZQkWaWXpuXTp9XamvV/6JB6eyWprU0LFmjePE2cqDvvHPob0g8IOm86BN900qV72vnFizpxQt3d2rxZxaL278+O6Fas0MCAFi7UzJm65ZahsGs1FQos3ZsYe/j8S6+rXTpsl3Thgo4d07592r5de/aoVpOksWPV06OHHsrO5C4Xx5LYpTtghs+zKy6tpSXv2aMNG7Rrl/r7s5dNmKD779esWRo/XlI2n1/6oGfp7oTg8+nSLj29uvbTT5o8OXvq+HF9+qkk3XWXZs3SjBmaPl333jv0Z9NpnMncEkv6PDtyRDt2aOdOHT6snp6s+QsXtH69xo/XtGm6554s7FpNSaJikc7NEXyuJIlqNZ08qc8+04cf6tChoetqr76ql1/OTuwuv4perWbX1UgdLOlzI2342DGtXKmdO4f257fdpsmT1d6uefOkvxbqYTh0Dlcq1WnEaEQEnythqB9/VH+/xo/XpEl6+GEtWKA77rj6K4G/YUmfN++/r99+0/z5mjgxeyQ9qKdwDAPB58rl34ePouzyO6lj2Ag+b+I4u5WFczhcO4IHjLAaBIwQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgi+2SSJkqTeg0CjIvimkiQKAgWB4rjeQ0FDIvjmEccKAp06pcFBhSHN4yoIvkmkeZ85o8WLtWyZzpxRyL8t/qZY7wFgBKT79jhWZ6d275akX3/V+vWaMkWSgqCug0MjYRZoBkmiQkHvvqu331a5rEJBBw5o9GhSx5WChCPdnItjhaH27tVjj6lSySL/5BPNn5+d4QGXMMPnW5IoDHX8uJYuVaWicllJotdeo3ZcHXv4HEv37X/8oSef1PHjKhY1OKjFi/X889kZHsHjCszweZXWHoZ65RV9/bVKJdVqmjJFGzZo1ChJnNLjKnhT5FJae6GgTZu0caPKZUWR2tr03ntqa8s+CIC/49Aul6JIhYK++kpz52YHdYWCtm7VokXZU8BVMRHkT3oR7pdftHy5BgZULCqOtXq1Fi3Kpn3gnzDD508cq1LR44+rt1elkqpVtbdr+3aO6PDvmOFzJt2fr16t3l4Vi6pWNWWK3npLQcBNcvh3BJ8ntZrCUO+8o9dfV7msONbtt2vTJo0bl905A/xvBJ8btZqKRe3apVWrhn67dq2mTlW1Su0YFoLPhzhWsaijR7Vypc6fV6mkONYLL6ijQ7WaSiWCx7BwaJcD6c1w1aoWLlRXl1paVKnoiSf00UfZs9SOYWKGz4H0C/MvvqiuLhWLqlQ0aZI2bsyeonYMHzN8o0uT3rRJy5Zl358dN049PZo2jdpxzZjhG1oUKQi0d69WrVIQKIqUJFq/XtOmqVajdlwzgm9c6ZdkT5zQs8/q3LnsOtyaNVq6VFGkIjc64tqxpG9Q6f2tlYoWLlR3d3ZQ196uDz5QqZTt6oFrxbumEaU3w0las0bd3UMHdRs2UDuuCzN8I0pP47Zs0TPPSFIc6+ab1durBx7g1ldcF4JvOGnS332n2bN17pwkJYm2btWSJdz6iuvFZNFY0tp//10dHTp7NlvAv/SSlizh1leMAIJvIOk36vr79dRTOnxY5bIGB9XertWrueSOkUHwjSJJVKtJUmenPv9chYIGB3XffVq3TmPGcDMcRgZ7+IaQzu1hqK1btWKFqlXFscaOVU+Ppk9n644RQ/ANId26//CD5szR6dMKQ0WRtmxRRwe1YySxpK+/dG4/eVJLl+rUKRWLiiKtWkXtGHnM8PWX7t7b29XVlR3UzZ2rHTvU0lLvkaHpMMPXU5p6EKizU11d2UHd3XfrzTfV0sIPeMfIY4avp3TFvm2bOjoUBIpjtbbq4481YwbfqMMNwXuqbtLa9+/Xc88pirLfrl2rGTOy/6wSGHG8reojncCPHdOKFerrUxgqjrV8uZ5+WtUqB3W4UVjS11Otpj//zH50TBBo9GiFIV+qww1E8IARlvSAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOQ/W0jw16zQ4hUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "action": "('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "action": "('move', [1.0322812640658219, 7.87511713139823, -10.973263305459284])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/0lEQVR4nO3c74tc1R3H8e+9s7sQrShWEWnEaEVs0No0pqmV0kolSW2gBRukgT4w/41/gw9FH2hb6UqiKdhSKflh16qB0Na1TQ2oGKlQ4o+Y3bmnD2byQ23BqnSd/bxeD4Zldu/lwPCec+6ZO9u11grI0K/1AID/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHzibRW43ENw1qPg8+ma62t9Rj44pp03lrNz6/1UPg8mOH5z4ahVlaqqubman6+Tp+uZ56p5eXpr5hRc2s9AL5YWpv2PBpV31dr9eyz7dAf2uGj/eJi7dtXDz201kPkMxA8Nbmq67rp42hUVbW0VIu/Hg4f6Y4d606dqqrq+zp6tE6erE2bahiqtzqcQYLP1Vq1obp+mvrE8nI99lgtLrYTJ7q33uqquqrqum4y8x8/XseP16ZNZednRgk+ziTd1mpurrpRVdV779Ubr7f9B7pHH62XXqozZ2rS+bnHdsmG7pprht2762d7+61bq7XpKoCZY5c+yDDUeFxzc9Mp/Z13avnl9twf64lf1cHftMkO7uS6vbWqal+6tG66ub61td23p9+xY23HzudD8OvfxVP6xHNH2+HD7ffP9gefGt4701V1k3eBybZ8VW3fXtu3t+9/r+3Y1V96yfQkExev/5k5gl+3Pp7osWN14EAdOlR/er5ee71VddXV/Nz5ztvtt7Uf7u6/c2fdcUdde+30qJWV6Y4964Dg15XJarzrPjQPv/pq/eLx9uST7ZW/9a+9Nn2yH9Uwnv58/cbhp/f3P9rdbr6pvrJxeuTKynTH3pS+ngh+Pfj4ov3s2Tr1Znvq6e6Rh8cvvNSdPt1/5HVeWKirrx7u3VV7f95v+UZdfvmFU43H1fem9PVJ8LNtsg93fsn9/pn6x4m2tFSPP96ePtBWxqM6t6SfvM4bNtT119e2bbVnT+3cWQsLHzpVlc7XOcHPpNZqGFerC1P6iy/W0lL99nd14MnhX6e7qm7yLnDu+nzYsqXfurXuvrvuvbeuuOLCeSas20MIfsZMrtLPz8N/+WsdPDA+dKQ/cqQ7ebKqqrpamK+zZ6d/fsvNbceu/q47hzvv6q+7bnrU6qpFeyjBz6Q33qgnftn27x/+/PLoxN/b5A6Z0ajG5/bhrr1mfN+e0a6dbfPmuuFG+3BMCX42TLbl3n67Dh6sRx4eP/9C//Y/u/HQzt0MV1U1GtWVV9bOnbV3b227o1355W4yh7dW49XqfbSG4GfFBx/UAw/U4mK9++70ma6b3g83P18bN3bfvH18/97Rrl112WUXjprsw33kUzqSuZd+NvR9LS/X++/XwsL0+ry1YfPm/uu3tXvu6X78k7rqqgt3t5//9pspnY8Q/AyY/MOZfftqaanOnh1u2NT94J7urm/Xd++ur944bfrifTjzOf+NJf0MmNw898or9eCDtXNHu/XWuuVr06ZXV6vKPhyflOBnxjDUMEw/eG+tVlfd4s7/TPAzZjyebsKZ0vkUBD9LJmt7+NSsCGeJ2vmMBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g3rQbW8FSH7pAAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH/0lEQVR4nO3c74tc1R3H8e+9s7sQrShWEWnEaEVs0No0pqmV0kolSW2gBRukgT4w/41/gw9FH2hb6UqiKdhSKflh16qB0Na1TQ2oGKlQ4o+Y3bmnD2byQ23BqnSd/bxeD4Zldu/lwPCec+6ZO9u11grI0K/1AID/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMHzibRW43ENw1qPg8+ma62t9Rj44pp03lrNz6/1UPg8mOH5z4ahVlaqqubman6+Tp+uZ56p5eXpr5hRc2s9AL5YWpv2PBpV31dr9eyz7dAf2uGj/eJi7dtXDz201kPkMxA8Nbmq67rp42hUVbW0VIu/Hg4f6Y4d606dqqrq+zp6tE6erE2bahiqtzqcQYLP1Vq1obp+mvrE8nI99lgtLrYTJ7q33uqquqrqum4y8x8/XseP16ZNZednRgk+ziTd1mpurrpRVdV779Ubr7f9B7pHH62XXqozZ2rS+bnHdsmG7pprht2762d7+61bq7XpKoCZY5c+yDDUeFxzc9Mp/Z13avnl9twf64lf1cHftMkO7uS6vbWqal+6tG66ub61td23p9+xY23HzudD8OvfxVP6xHNH2+HD7ffP9gefGt4701V1k3eBybZ8VW3fXtu3t+9/r+3Y1V96yfQkExev/5k5gl+3Pp7osWN14EAdOlR/er5ee71VddXV/Nz5ztvtt7Uf7u6/c2fdcUdde+30qJWV6Y4964Dg15XJarzrPjQPv/pq/eLx9uST7ZW/9a+9Nn2yH9Uwnv58/cbhp/f3P9rdbr6pvrJxeuTKynTH3pS+ngh+Pfj4ov3s2Tr1Znvq6e6Rh8cvvNSdPt1/5HVeWKirrx7u3VV7f95v+UZdfvmFU43H1fem9PVJ8LNtsg93fsn9/pn6x4m2tFSPP96ePtBWxqM6t6SfvM4bNtT119e2bbVnT+3cWQsLHzpVlc7XOcHPpNZqGFerC1P6iy/W0lL99nd14MnhX6e7qm7yLnDu+nzYsqXfurXuvrvuvbeuuOLCeSas20MIfsZMrtLPz8N/+WsdPDA+dKQ/cqQ7ebKqqrpamK+zZ6d/fsvNbceu/q47hzvv6q+7bnrU6qpFeyjBz6Q33qgnftn27x/+/PLoxN/b5A6Z0ajG5/bhrr1mfN+e0a6dbfPmuuFG+3BMCX42TLbl3n67Dh6sRx4eP/9C//Y/u/HQzt0MV1U1GtWVV9bOnbV3b227o1355W4yh7dW49XqfbSG4GfFBx/UAw/U4mK9++70ma6b3g83P18bN3bfvH18/97Rrl112WUXjprsw33kUzqSuZd+NvR9LS/X++/XwsL0+ry1YfPm/uu3tXvu6X78k7rqqgt3t5//9pspnY8Q/AyY/MOZfftqaanOnh1u2NT94J7urm/Xd++ur944bfrifTjzOf+NJf0MmNw898or9eCDtXNHu/XWuuVr06ZXV6vKPhyflOBnxjDUMEw/eG+tVlfd4s7/TPAzZjyebsKZ0vkUBD9LJmt7+NSsCGeJ2vmMBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9BBA9B/g3rQbW8FSH7pAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "70ea2918ae4ca138848f7764196778a1cee60008e63f4ad7efb6b49e10fe2736"} +{"episode": 38613, "episode_seed": 1764571968, "split": "train", "timestamp": "2025-09-15T23:24:47.132232", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1764571968, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "action": "('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALE0lEQVR4nO3dT4hVdR/H8c+5c+8zY9ZMppFO+WcSUjQNdBcREi5aBBKRkVhU9g+iUKKINq2CyjZF0qKojSQaLVpYiywVS5OQSHGjkTUao45/Ghkbbc49v2dxznP18XkQR+fc3535vF+rmlnM2bz9nvM7v/u7SQhBADxUYl8AgOYheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB5ohhCUpqrXI19GEkKIfAmAk+FhVatKkjh/nQkPlCsfqceOae1abd+uWi1a7SJ4oGxpKklffqlXX9Xy5XrySR08KP3nH4ImI3igRFmmalUnT2rDBlUqOn5cmzapvT3a9RA8UKIQlCT67jtt26ZKRZJWrdKMGcqyODf2BA+UJcvU1qazZ/Xhh5IUgiZO1Jo1kli0A8advOofftDWrapWVa9r5Ur19Fz4VfMRPFCWJFEIevddJYmyTB0deuEFhRBnuS5H8EAp8qp37NCWLWprU5bp0Uc1f76ShNdywLiTB//WW8VIr9W0apUqlcib7QgeGH35IvzOndq2TUmiel3Ll2vxYmVZsVYfC8EDoy9/G/feexoaUpKos1MrVqijQ/V6zPt5ETww6up1tbVp925t2VIs191zj+67T2mqajXytRE8MJoaK/Aff6xTpxSCJkzQE0+oo0OK9zauIfY/OMD4km+22bNHmzcXeS9cqIceUr0ef7yLCQ+MrnyJbuNG9fWpUlEIevllVSrxZ3uOz8MDoyZfhD9wQEuW6NgxhaAFC/Tzz5FX5i/WMhcCjH35GN+0SX19amtTCHr99WLOtwgmPDA68ldx/f2aO1cDA8oy3XmnduxQV1fxq1bAhAdG00cf6dSpYqqvXq3OzmifhP2/mPDA6AhBg4OaM6d4el+4UF99pe7u+LvrLtYyFwKMZfkWug8+0NGjkhSCVq5Ud3f8rXWXaIE3g8AYlz+inzyp9euLj8rMmaPly4vftlTwTHjgWqWpKhWtX6+DB4u794cf1owZSlO1tcW+uP9G8MA1aRxTuXGjhocVgqZP11NPtdDK/MUIHrgmedibN2vXruLd+4MPqqen+AhNqyF44OrlO+fPnNEnnxT/O2mSVq+W1Iq1i+CBa5HftG/dqu3bi/H+yCORj6m8PIIHrlJ+M3/+vNatK/Jub9eaNZGPqbw8ggeuyc6dxTGV9boef1x33BH5mMrLI3jgKuVVv/12Mc9rNT3/vCRlWcyrujyCB65GlikEff+9vvlGlYrSVI89pvnzW/RtXAPBA1cpSfTOO8VnY/JjKtvbW24v7SUIHhixel2VinbtKr4isl7X0qW6++5WOcfqMggeGJnGIvy6dRocVAi64QatXKkJE1p3cb6B4IGRyffS/vijvv1WkkLQ4sVatqwVd87/L4IHRixNtWGDjh5Vkqha1YsvFsdUtvLTe44DMIARyHfI792r++8vDrpYtEg//SS16ta6SzDhgSsVgioVZZm++OLCMZWvvRb7skaCCQ9cqfwd+5EjWrhQZ84oy7RggXbvLr5VZkxgwgNXKr9p//RTnT5dHFP5yivq6BgDi/MNTHhgBAYHNXu2TpwojqncskVTprT67rqLMeGBK5LvkH/jDR0/rlpNIejZZ8dY7SJ4YESmTNGtt+r8ec2dq2XLJI2l+3lxSw+M1L59+uwzzZql555rrTPnrwTBAyPQuIH/5x/VatIYef3eQPDACIRQnGM3RhE8YGRMPX8AuDYEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBINfYFAE5CKP4jSaL8fYIHmihS5w0EDzTRX3/p3Dl1dWnChCh/n2d4oCmyTJLWrtXSpXrzzQs/aS4mPNAU+dP7nj3av1+33y5Jaap//avJV8GEB5oif3o/fFiViubOvfCT5iJ4oHwhqFLRmTMaGFCW6bbbJIIHxqv8fr63V0NDqlY1c6ZE8MB4lQd/+LAGBzVxoqZPlwgeGK/y4I8c0fCwJk4sJnwMBA+ULw/+wAGFoPZ2TZ6sLFMlQn28lgPKl7e9eLEeeKBYsYskCY3NvQDKlqZKErW1xfr7THigKUIottbFq11MeMAKi3ZAyfLBvnevnnlGL72kvj7pos/JNhcTHijZ8LBqNW3YoBUrJKm3t3gPHwPP8EBT9PerWtVNN2natIhXwS09ULL8JrqvT2mqnp4or98bCB4oWbUqSf39kjRrFsED41e+o+7vv3XsmKSIm2pzBA+U79QpnTihJFFPT9wLIXigTPkDfH+/fvtNIRQTPt6rMVbpgTLln4Gt19XdrVot+oTnPTzQFGmqQ4c0c2bzz7G7GMED5cs320Vdn88RPGCEZ3igZMPD+vpr9fdryRLNnh33WuLfYwDjVn77PDio99/X009r48bYF0TwQNnOntWff0oqzrqJ8YUzDQQPlCaf8OfO6fBhSZo69cIPIyF4oGQDAzp7Vtdfr87O2JdC8EB5Gl8vlSSaNk033njhh5EQPFCavO3eXoWgqVPV1RX7gggeKNuvv6paVXe3Jk2SmPDAOJZlGhhQmqqzUx0dcZfoxU47oFwhaP9+7dunefN0110KIe6EJ3igTLELvwS39ECZGrW3xmRlLz1QptOn9fvvmjxZ3d3F4XZRMeGBcuQj/fPPtWiRVq0qDrGMvWhH8ECZjhwpDrHMX8LHfp4neKAc+YQ/dEgh6Oabdd11xVfHRkXwQJn++EOVim65RYp/Py+CB8qSJEpT/fJLcYKl4t/Pi1V6oBT56/ehId17r3p7NW+exJl2wLg3NKQTJ9TVpc7OVtiEQ/CAkfj3GMB4FoKyrEW22YkJD1hhwgNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/BoqRv6sRTfgLAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "action": "('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "action": "('move', [0.2875172859755868, -4.433988785549303, 6.007941976353351])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHfUlEQVR4nO3dwW4cVRqG4a9sk9hBmjQEZJshTpwRV8AermBmyaVwfVwBq5HYjIJNEiDRjEmQHBRid82immQ065QL+XueRdTuTc7m1d/nVHX1MI5jgA5bSy8AuDqChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyI7Sy8AiqzXSTIMb/+9YsM4jgv8t8ASTHiY3ThmGHJ5ma++SpLj4/z9H/nyi6zX2braXbXg4Yo8eZJvvsnZWZLs7ubLL3JxkRs3rnQNDu1gdtO++fR0M+qHjH/9ZJ3k6nfxgofZTWd1jx7lt98yjtm7NRx+MiQL9Cd4mN004R+djq9ejUlWqxwcDEm2rnzECx5mNwV/8v3F9GK1yuFhssSVOcHDFXn84/a0bb99O/v7ieDh+hnHvPdeLi/z/MUmt9Vq3N3N69eCh2tnOpl/9iwvXmzeOPj4In98zr9igod5TWH/9NOb4Id797eSq77lZiJ4mNcU/M8/5/nzJLlxI0f3t5dajOBhXm8m/K+/Jsnubo6OkoW+PCN4mNeb4Cd7e7l3LxE8XEvTXv3p082fN2/m7t2Moz08XDvjmJ2dXFzk2bPNO6u/rG/e3Nxse/UEDzOaPs8/f/52wt87Wqj1JIKHK3B29jb4B59tZ6ENfAQPs5om/NnZ+PNPm/tsjo8Xaj2J4GFWU/C//Gf9/MV6ayvDkOPjZLkJ74k3MLt/n21urRvHTfBLMeFhRtvbSfLkyZAM45jtrXHBi/ARPMxn+trMep1Hj5Lkcp2Djy9u3VpySYKHeb18mR9+SJKM+dtn24vcb/OG4GFe5+d5/Hjz+v6DLcHD9TQd0U8Tftq0H99fdEGCh7mdn+eXX7KzkyTHD5KFHn0xETzMZZrqT5++/arMFPyCBA9zmYL//vskWY8ZhsuD/YV/ylHwMK+TkyR5/Tr7d8a93YUXI3iY0Xq9mfAZc/Rge+/WkjfSR/Awq4uLnDzcfB/27t1hb2/Z5Qge5nR5OZ7863I6sTs6ys2byXL31UbwMKvz8+HHf783BX/vfoZhyWtyETzMZPN7cifJZqSPdz9NstjDrSaChxlNJ3aXlxly+eEH6yQx4eG62lyEX+fOh9ur1ZBkWLQ5D8CAGW2uySWHnw63V0uuZGLCwyymPfzDh5s/D/azWi23mj8IHmZ0erp5cXiY27eTRa/JRfAwk62tvHy5+QHJJAeH2drKxcWSS4rgYQ7TtbeTk/z+++aN/Y/W+eOhVwtyaAfv3rSBPz3Nq1dJMgzjwX6SLHwnveBhPqenmwm/Wm3vf5Jk+eJ9pId3bzPhH15Om/YPPsj+NOGXDt6Eh3dv2sM/fjzu7IzjOHz0keDhmnpzMvfP73amCf/++7lzZ/kTuwge3rlh2Dyy8uuv8+23+e67fP755prcztLBDeOy39aD6+78PMOQW7f+FBNe8DCXP0Ph/8cpPcxlqn0cF37oxf9aeksB192fasib8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkvywBOwh4X6F0AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b26079d6ced9e175191ec7a7f4f290448579140ddac1268cba06a21dc1c8a7fd"} +{"episode": 38614, "episode_seed": 4132316588, "split": "train", "timestamp": "2025-09-15T23:24:47.788600", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4132316588, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "action": "('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "action": "('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "action": "('move', [-11.269639735682615, 7.726795800322338, 15.890436629018799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "147854a18a665e3ede30f8b0e868c8ae27213f9916b242567dc7b54b29fcbf40"} +{"episode": 38615, "episode_seed": 3678755177, "split": "train", "timestamp": "2025-09-15T23:24:48.783780", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3678755177, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "action": "('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "action": "('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMklEQVR4nO3da4gV9R/H8c+cy64YuQjihcwyi4wuapZR9liiICEwzYpU3NRiUchLbkgE0rKYIhqkku6imK100UJT1wcWUhGFIULUk4ouQmWlUu7umTnzfzDT+jf/Xf7rOXvOns/79cxdHwwy7/Ob+c7vjEEcxwLgIVPpAwDQfwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwpRGGiuNKHwTwT4KY8/SSFYvK8MmJgYDz9JIkn5aZjHbvVleXisVKHxDwtwi+7+JYQaBiUc3NevRRLV/OOo9qxxnaR8naHoZavFgtLYoibdyo1avTHwLVieD7KFnbs1lNmKBsVkGgINCzz2rTJuVyKhSY4aEaEXzfZTKKY82fr9ZWhaHq6hTHevpp7d2rfF5RVOnjAy7ClP5SJSP65cu1Zo3yeRUKGj1ar7+uKVPSm3ygehB8CRSLiiLNn6/t29Pmx43TwYMaN47mUV0IvmTOntVDD2nfPtXVqadHkyfrwAENG8ZTelQRzsTSiCJdfrleeklTpqinR/X1+uQTPfywuruVyfB8HtWC4Esjm1UY6sor9fLLuuYadXcrn9ehQ5o7V+fOqVikeVQFgi+ZXE5hqJtv1o4dGjZMYahMRrt2qbk5fYbHzRMqjuBLKZdTFOmuu9Tervr69CcbNmj9euVyimOaR4UxtCu9MFQup/Z2zZ0rSZmM6uq0datmz2ZojwpjhS+9XE7FoubMUWurJGWz6upSY6M6OxUEbMhBJbHCl0XvP+qyZVq7VvX16u7WyJHav1+TJimKlM1W9PjgiuDLJRnLnzunxkbt2pVuyBk/Xvv3a+xYmkdlEHwZJc3/9JNmztSRI+kY//bb9dZbGjmS+3lUAMGXV7LN7uRJTZumEyfSdf6++9TRocsuo3n0N4Z25ZVssxs1Srt364orVCgon9e+fWpqkqQg4EEd+hXBl13S/A03qKNDDQ0qFJTNqq1Nzc2KYzbkoF8RfH9Imp86Vdu3a8gQBYGyWbW0aONGZbOKIppHP+Eevv8kk/ktW9TUlM7z6urU3q4ZMxjao5+wwvefTEZhqMZGrVyZvse+q0sLFujIkXSdB8qNFb5fJdvpi0U9+aS2bEkf1I0YoQMHNHEi35xH2RF8f0sexYWhZszQnj3p2zKuv16HDmnMGJpHeXFy9bfkUVwup23bNHWqenqUz+vzzzVrln78kbdloLwIvgKSr8cPHapXXtGNN6pQUC6nDz7QggU6c0YSzaNcCL4yMhlFkcaM0auv6uqrFYaqr9ebb2rlyvQRHc2jHAi+YpK3Yt10k7Zt09Ch6u5Wfb02bVJLizIZNuGhLBjaVVjyBH73bj3ySPpWrCjS5s16/PH0RRpACbHCV1g2qzjWgw9q7dp0YZe0cKHeeCN9YRZQQgRfFYpFNTVp+fLzq/q8eXrvPTbkoMS4pK8KcawoUrGohQvV1pZ2Pnq09uzR5MlsvEXJEHy1SMbyXV2aNUtvv51uyJk4Ua+9pnHj2JCD0uAkqhZJz4MHa8eOdEPOoEH69FM98YS++y79n2qBS0TwVSTZZtfQoJ07NX68urrS/77m3XcrfWSoFQRfXZKV/Kqr1NGh4cMVRVqzRjNnsryjNLiHr0bJF2wOH9aXX6qxMa2dt9/h0hF8leqd0kXR+efzwCUi+OqVzO0ZzqOECB4wwvIBGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA/+POK70EVwSggf+tShSEAzo5gke+BfiWFGkbFanTysIKn00fUfwwD8pFhUEymbV0aGHHtJXX1X6gPqO4IG/FcfKZHTunJYu1WOP6Z13tGSJJBWLFT6wPslV+gCAKpbcrp84oUWLdPSoJN12m5YulaTMgFwsCR64SBwrjhUECgIdP66779bZs8rnNW+eWlvV0JD+dgAakJ9SQBkltfcu4Ndeqzvu0KhR2rxZmzapoSG9pR+YgnggP2MASqy39h9+0PDh6Q+//VbffKM770wH9QMZKzzwh+RCPZPR6tWaPl0ffSRJYajRo2ujdhE8IP0xnAsCnTypGTO0apU+/FAvvqieHmWziqLaqF0M7YDzE7gDB7R4sb74QpIeeEDPPad8XlJtpJ4geNgLAv32m9asUWururo0dKieekrPPCNp4E7j/wrBw97332vePB08KEm33qqWFk2blv6qtmoX9/AwlUzjk91y3d06flyS5szR3r2aNk1RVNmjKx8ey8HMn67Skz8ePaqPP1ZTk7JZhaFyNXvlS/BwUiymO2ref187d2rFCo0Zc8EEvlam8X+lZj/JgD9Llu5CQW1tam7WqVMaNEgvvKBMJl3n47i2axf38HBRKCiX09dfa9EiLVigU6c0dqxuueWCfbI1N6K7GJf0qHW9N+2dnVqxQseOSdK99+r55zVhwgV/wQCX9KhpScy//65167RunX75RbmcVq3SkiUaMkSFgvJ5n9rFCo+a9d9fcf3sM02apO5uXXedNmzQPfdItT+f+58IHrWoN+bk9I5jrV+vzk61t2vEiPS+3Wlh70XwqDnJhfrPP+vwYd1/vwYNuuC3TnfsF2NKj9oSRcrndeyYZs3SzJlav15hmF7e934lzhjBo7Zks9q6VdOnq7NTks6cOX/17p16gik9akJyoX76tJYtU1ubwlAjR6qlRbNnp1vrqF0S9/CoKcWifv1VuVy6GX7w4EofUNUheNQ07xHdxbiHR02j9gsRPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wGf8AiMr8nh1wAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "action": "('move', [12.038278564260693, -9.59972061875717, 42.496903268512106])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIL0lEQVR4nO3cX+jddR3H8ff3e875KaKyyAuhUPK6aGw3A1N2ocNisgQvM6lBuhS7EacOL0JxrFS8mJj/drEbL0Zj+EPQKCyTmEhZCEIlgYWwG7U1jG3nnO+ni9+PKTbLMXL9zuvxuD03n5vn+fz5fr7frrVWQIb+XA8A+OwIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHs5Aa9XauR7EWRA8fFrDUF1XXXeux3EWBA+fymxWfV/HjtWhQzWd1jCsyale8PBftFbzeY3H9ac/tptuqhtuqEcfrb5fk8F3bS2OGj4rp5bxB3/adt41vPWXfjLpLryw9u+vrVtrPq/R6FwP8UyMz/UA4P9Xa9X3deJ47drVHnusjp/ol5a6kyfr5Ml2/Pia3Mqb4eE0hqH6vqrqzTfrlu2zVw6PV+b5YagNX50/+cxo48Zqbe0d4NnDw8etnM/N57V/f131teGVw+PJ0upsf+st7Ze/Hm3cWFVrr/YSPHxUazWb1XhcR47U7bfXzTfXe+/3S0s1Pdm++IXh6aeGx3/SXXTRmjyuW2FJD6taq2Go0ahe/lXbeXcdPtyNxzUMNQy15Zq2Z0+t39CtuVO6jxE8VNWHG/KHfzzs3tO/+25NJjWdVlXdd1/deWddfHFNpzWZnNthni3Bk26lgK6rI0fqjtuGAwerqh+Pazaryy+vvXtr69aqWntP4E7LHp5o8/nqY/afvdiuvqoOHOwnk76qZrO2bVt7+eXauvXDpf4CEDy5ZrMajerYsXrg/uG669qf36qlpZpOa9264cEH2qFD3WWX1TBU1eojugVgSU+iU7dl33ijdu1qy8vV9V3f13zWNmzodu9uW7Z0baha46/K/LtF+eOCT23lfG48rmefrW3banm5m0y6NtR8Nnzn5vbcc7VlSzebVdcvWu3lai1RVt5m7/v64IO69972xBPdiRO1tFQnT9a6de1He7rvbu9Go9VH8QvJkp4Up27L/uH37ZbvtVdf61feeGutNm2qxx+v9esX6nzutCzpiTCbVt/XdFr79tXVVw6vvtZPJjUMtbRUt91WL71U69evns8tcO0leBbe6m3ZSf3tr23HrcP27fWPf46Wlmo6bVdcMezbV3v31vnnry71F2/T/jGW9CyyU5v2X/y87dzZfvu7bjzu5kO1oX3j68OePf2Xv7Lmb8ueEcGzsE7dlt394PDQQ91779fSed3JE9XX8MP7+x/cURctxG3ZMyJ4FtCp87l33qkdO2p5uapqNKr5vL50+fzJp0bXXFtVNZ/VaEFP4z+JPTyLZj5frf355+vKK2t5eXUOn8/rxhuH3xweXXPt6lI/rfYSPAtm5bbs0aNt1z3D9dcPb79d551X02ldckl75OF24EB/6aWrS/2FP587LUt6FsfK8dvrr9e99wwvvFh93/d9zWa1aVPt3l2bNy/Ch+XPkhmeRbAybY1Gte+Z4Zvb2gsvduNJPww1m82/v6MdPFibN9d0GvHg7T/L28SwcFaO6I4erbvvGp7eV7NZt/Ltis9/bnjkke5b3+5W5vmo0/hPYknPghiGOvr3Go1r5btUrdVoVBdcsPrTwrzfepYEz4Jbix+T/t/xv8eCU/tHCR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AsQ/Na/Te3higAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIL0lEQVR4nO3cX+jddR3H8ff3e875KaKyyAuhUPK6aGw3A1N2ocNisgQvM6lBuhS7EacOL0JxrFS8mJj/drEbL0Zj+EPQKCyTmEhZCEIlgYWwG7U1jG3nnO+ni9+PKTbLMXL9zuvxuD03n5vn+fz5fr7frrVWQIb+XA8A+OwIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHs5Aa9XauR7EWRA8fFrDUF1XXXeux3EWBA+fymxWfV/HjtWhQzWd1jCsyale8PBftFbzeY3H9ac/tptuqhtuqEcfrb5fk8F3bS2OGj4rp5bxB3/adt41vPWXfjLpLryw9u+vrVtrPq/R6FwP8UyMz/UA4P9Xa9X3deJ47drVHnusjp/ol5a6kyfr5Ml2/Pia3Mqb4eE0hqH6vqrqzTfrlu2zVw6PV+b5YagNX50/+cxo48Zqbe0d4NnDw8etnM/N57V/f131teGVw+PJ0upsf+st7Ze/Hm3cWFVrr/YSPHxUazWb1XhcR47U7bfXzTfXe+/3S0s1Pdm++IXh6aeGx3/SXXTRmjyuW2FJD6taq2Go0ahe/lXbeXcdPtyNxzUMNQy15Zq2Z0+t39CtuVO6jxE8VNWHG/KHfzzs3tO/+25NJjWdVlXdd1/deWddfHFNpzWZnNthni3Bk26lgK6rI0fqjtuGAwerqh+Pazaryy+vvXtr69aqWntP4E7LHp5o8/nqY/afvdiuvqoOHOwnk76qZrO2bVt7+eXauvXDpf4CEDy5ZrMajerYsXrg/uG669qf36qlpZpOa9264cEH2qFD3WWX1TBU1eojugVgSU+iU7dl33ijdu1qy8vV9V3f13zWNmzodu9uW7Z0baha46/K/LtF+eOCT23lfG48rmefrW3banm5m0y6NtR8Nnzn5vbcc7VlSzebVdcvWu3lai1RVt5m7/v64IO69972xBPdiRO1tFQnT9a6de1He7rvbu9Go9VH8QvJkp4Up27L/uH37ZbvtVdf61feeGutNm2qxx+v9esX6nzutCzpiTCbVt/XdFr79tXVVw6vvtZPJjUMtbRUt91WL71U69evns8tcO0leBbe6m3ZSf3tr23HrcP27fWPf46Wlmo6bVdcMezbV3v31vnnry71F2/T/jGW9CyyU5v2X/y87dzZfvu7bjzu5kO1oX3j68OePf2Xv7Lmb8ueEcGzsE7dlt394PDQQ91779fSed3JE9XX8MP7+x/cURctxG3ZMyJ4FtCp87l33qkdO2p5uapqNKr5vL50+fzJp0bXXFtVNZ/VaEFP4z+JPTyLZj5frf355+vKK2t5eXUOn8/rxhuH3xweXXPt6lI/rfYSPAtm5bbs0aNt1z3D9dcPb79d551X02ldckl75OF24EB/6aWrS/2FP587LUt6FsfK8dvrr9e99wwvvFh93/d9zWa1aVPt3l2bNy/Ch+XPkhmeRbAybY1Gte+Z4Zvb2gsvduNJPww1m82/v6MdPFibN9d0GvHg7T/L28SwcFaO6I4erbvvGp7eV7NZt/Ltis9/bnjkke5b3+5W5vmo0/hPYknPghiGOvr3Go1r5btUrdVoVBdcsPrTwrzfepYEz4Jbix+T/t/xv8eCU/tHCR6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AsQ/Na/Te3higAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "82bc76e6147f61dd7c5c784b70d23a727a18659f945bb4cf1c49e8eeb4a87888"} +{"episode": 38616, "episode_seed": 1248779556, "split": "train", "timestamp": "2025-09-15T23:24:49.428176", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1248779556, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "action": "('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "action": "('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK90lEQVR4nO3dTWxUVQPG8efOTAnSiDGIHyFUaECCNEKxNQqaiF+kQaqAHysxKgtcEMPChQuNRuJXJLBgI2o0ho2JBAWdRI2CKSmaGiuolYpCWugkBiFGLLZ2Zq6Lc2sxvpACvgxzn/9v1czqtp3/nHPPvedOFMexAHjIVPoAAJw7BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgj+PxXHlT4C4FRylT6AtCiXJSnDByjOa7xBz04cq1iUpCee0OLF6ulJXgTOSwR/dkol5XJ6+21t2KB8Xi+/nLwInJeimOHojJXLymT09de680719ampSdu26bLLJCmKKn1wwP9A8GeqXFYU6dAh3XWXOjs1caI++khz5lT6sIBTYUp/pqJIUaSNG9XZqUxGGzZozpxk6Q44X7FKf0bCWXo2q1WrtHu3Zs/WffepVFI2W+kjA06FKf3pC6fuEoWj6jClP02h9m+/VW8vtaPqEPzpCDP5vj4tX64lS7R9u8RVd1QTzuFHLSzLl0p68kl1dkrSsWOVPibg9DDCj1ocK5PR+vV66y1JeuYZtbZKXHJHNWHRbnTCqfvWrVq2TMWili3Tpk0aO1ZxTPCoIgQ/anv36tZbVSho1izl86qrG1muT7U4Tn5RPtlSIP3v17MVx4pjHTighx9WoaBLL9Ubb6iuTqWSQ+2SokjZbLJ8gWpn8ZY9K2HSfvRockfdSy+puVnFos81uUJBmzfr8GGf3zjNCP6UQu1xrMZGffKJXnhBy5f71B42/r7/vh58UI2NuvdedXdL7AasZlyWO7kTF+SiSPPmad48Scp5/dHyefX3q79fX37JaXzVY4Q/iVB7V5fWrdPx45LcNsaUy8rldOiQurqSzpubddVVKhZN1i7SyWuwGq1w5eLYMa1cqbY29fXpueeUy1ldhCsWVVOjTz9Vb6/iWDU1uummZAXT5m+QQnxWn0QUafVqtbWptlaTJiXvcZt3erjJKIrU3q7BQUm65BK1tCiK3E5o0obg/6VUUhRp7Vq9/rokrVih1auTC1M24jiZz3d0JK9Mn65p05K/DaoXwf9T2PG6bZvWrJGklhatXSsNP+7CRliv6OzU7t3Jr75okWQ0xUktgj9BuaxsVj/9pMcf16+/asYMvfqqslnD09ZMRuWyvvgiGdLHjNHSpRLBVz+CHxY2w/3yix56SN3duvhivfaaJk0yrD2cwB85oo8/lqRyWbNmado0ieCrH8EPCzfYRJEaGxVFev553Xhj8ilgJlyj2L9fnZ3JEt0997DrPyVYcpV0wh11EyZo/Xrdf7+amjxr1/DX53z2mYaGVFMjSYsWjXweoqoR/HDtAwMaO1YavqnO28CAtmxRFGloSI2NmjKl0geE/4j9lD6sSu3fr5YWbdmiP/5ItoO6ClP3gwf1+efJfL61VRdeKHECnwreI3wI++hRPfKIduzQN9+ou1sXXFDpw6qwONYHHyQ/ZLO6+WZFkcne//Qz/h+G20TjWE8/rR07JGnNGk2YYH6qGq66b94sScWiGho0fXryOlLAO/hsVm++qY0bJWnVKq1caV57mM/39mrPnmQ8X7BAl19uu3yZQq7Bh2vNbW167DENDmrhQj37LJeewinO1q3q708iv/56ZbPOaxpp4xp8FOnHH7VihY4fV3291q3TRRcxkAX5fPKIi6uv1nXXScznU8Qy+DBgvfiifvhB48frlVc0c6bPc2xOJpziHDyo779PXmls1NSpPg/vs2C5Sh8GrEcf1ZEjmj9ft92mUoltn8Wicjl9+KEKBUmqqdH8+YpjvkEvVSzf5SH4uXO1aZNyOYYwDd98FEXauVN//ilJV1yhO+5gA3zaGP8zSyWNG1fpgzhfhA3wPT366qvklRkzVF/P8J42xiNb2PdqvzIfhGWNjg51dUlSJqOWlsoeEf4vjEd4sfo8ItxLFzbAZzIaN0533y2Jc5204f+J5MEfP/+cfP91uayGBk2dKvGRmDoEj8S+fdqzJzljX7qU0510Ingk8/a2Ng0NJT8vXszYnk4E7y4M47//rvfeSzbANzXpyisl5vNpRPCQpN5edXQkl9yXLGGLcGoRvLvw7Kp8Pvkhm9WCBZLdN2u5IHgoivTOO4pjFYuaPVv19cmLSB+CtxZO4A8cGNkAf/vtmjiRfYOpRfDWQvDvvps8yy9sgA/fQoFUInhrIfi/n2B3zTW69lqJ+Xx6EbyvcINdT8/IBvjmZk2ezIaZNCN4X2Hens/r8GFJGjNGN9yQbIBHWhG8qb9vmw3fMCNp8mTdcgsb4FOO4E2Vy8rlkvX5YOZMTZmiYpEdcmnG/9ZUGOF37dK+fZKUzWrhwsoeEc4FgjcVNsDv2qViUVGk8ePV2iqJ5bqUI3hHYX2+UNDOnZIUx2poUF0d99ukH8E7CvP5vXv13XcjG2a8v3THBcE7Co/z275dQ0PJHL61NXlqLdKN4O2E4f2339TeLkmDg2puTjbAI/W45GonDOO1tXrqKc2dq/Z2PfAA195dRDEPLvM2MKBSSbW1lT4OnBME76tcVqmkmppKHwfOIYJ3F/7/LNeZ4NTNHalbYZUeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIXNMCal0gFAy4AAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALUElEQVR4nO3dbYgVZQPG8Wvm7JqWLi1rCmmKFYTYpoWGuEZFaopmhLGFgRREZSoihhAZKUovkiYhkaJFYmR+EdIsIl9AtlICNa3cxaJy116wQK1N23POPB/usXqep2xX1xnb6//7uF/OcPb8z33PPffMiZIkEQAPcd4HACA7BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgi+UyVJ3kcAnElF3gfQVZTLkhTzBYoLGh/Qc5MkKhYl6fHHdccd+vrr9I/ABYngz02ppIoKvfmmVqzQli16/vn0j8AFKUoYjs5auaw41t69mjRJLS0aPlybNqlvX0mKorwPDvgLBH+2ymVFkZqbdeed2rNHl12m997TsGF5HxZwJkzpz1YUKYq0apX27FEca8UKDRuWLt1lpVxmuQAdwyr9WQln6YWCZs3Svn0aOlT19SqVVChk8OJJoijSb7+pW7cMXg1dClP6jgun7lJmhf9ZqH3dOm3YoLlzNXKkLroo40PAvxjBd1Co/cABVVVpwIBcXr+1VaNGaf9+SZo3TwsXqnv39IsAODPO4TsizORbWjRtmu66S9u3S5ledS8WFcdas0aff67KSkn64QclCdcB0V6cw7dbWJYvlfTkk9qzR5JOnMj49eNYLS165ZW0/IED9cQT6tFDpRLDO9qFEb7dkkRxrOXLtXatJC1cqMmTpewuuZdKimOtXasDB1RRoXJZ996rq69WW1v2Kwn4t+Icvn3C8PrWW5oyRcWipkzRunVZnjqH1z90SJMmqalJUaT+/bV7t/r0Sb+IgPbgk9I+cayDBzV9uopFDRmiZcvUvXs6yc9KqaTXX1djowoFlcuaOVN9+1I7OoYR/p+E9+err3TfffrwQ/Xpo82bNWJEltfkwjTi0CGNHq2jR1Uua9Ag7dunnj2zeX10HYwO/yTU9tNP6Y66JUs0YoSKxSzPm8M04qWX9P33imMliZ56Sj17ss0OHcYIf0a/vzlJoo8+UkODHnssHduzmsyHL5yDBzV0qMplFYsaOVLvvquqKombdNBBBP/3Loy9LOEopk7VG2+oslLlstav1913/7HfD2g/PjJ/I3T22Wd64QW1tkrK+MaYICwLfvCBNm5UHKutTWPHasyYC+S7CP8+bLz5K2HWc+KEHnlEO3eqpUVPP62Kiow7SxIlicplPfusTp5UoaBevfTww7r0UhWLquBfh45jhP8bUaQ5c7Rzpy65RP36pZ1nO6qGlcG339bWrSoUVCrplls0fnzGK4boUgj+/4R9qkuXas0aSXrwQc2Zk+UqXVAuq6JCra16+WW1tipJVFWl2bPVvbvEWh3OFsH/t7ACv2mTFi+WpAkTtHSpdPpxFxkKZ+9btuidd9KNtGPH6rbb0ofoAWeHVfo/CQvfX3yhiRPV2KhrrtHWrerXL/slsvA/OXZMkyapoUGFgrp1065dqq1luQ7nhBH+tDCkHj2qBx5QY6Oqq7V6dS61B2F4b2hQRYVKJU2bptra9O/AWSP406Iobfv66xVFeuYZjR6d8W75IBzFL79o4ULFscplVVdr3rx00R44F5wOSjodWZKopkbLl+ueezR8eC61/+7VV9XUpMpKtbVpxgwNGiQxvOOccQ5/uvaTJ9MV8LyPJUl0/LiGDNF33ylJNHCg3n9fV13F1jp0AvtPULgI9+WXmjBBGzfq11/TzS45CVUvWaIjRxTHiiI99JCuuip9+gVwjrxH+PBg92PHNGWKduxQTY0aG1VTk9dCXfjyOXxYo0bp22+VJLr2Wm3Zov79ue8dncP4QxRmz0miBQu0Y4ckLV6cY+1BHGvZMh05IkmVlbr/fl1xBcM7Oo3xCB9mz6tXa+ZMnTqlWbP04os51h62/Ozdq/Hj02fR1taqoUE9emS/zQ9dluvAEabIO3dq9mydOqXbb9eiRTle9fp9xr5qVfqUizjWnDnq1Sv7PX7oyoxH+EOHNHGimpp05ZXavFmDB+fySzJBmG3s3q1bb9XJk0oS3XCDPv6YfXXoZJYjfFiEf+45NTWpqkorV2rw4HzvQYtjlUrprffhIVaLFuV1LOjKLDfehEFz+nT9+KPq6jRmTL63pIQ51q5d2rBBhYKKRY0bp3Hj/jhSoLMYT+kltbaqokKFQnrJO1djxmjr1vRMfts23Xwz83l0PssRPiiVdPHFeR/EH79wsW1b+pSLqVNVV8e2eZwXlufwQaFwIdyPkiRqa9PixemxVFXp0UfTO+QY3tHpjINXDo+1+B9hofC11/TJJ4oilcuqr1ddncplHmKF88I7+FyFU/SjR7VypU6dUhSpd2/NmiUp3/v00JURfG7CVf/167VvX/pzcfX1uu46HmKF88h7lT4/YQxvbtbEidq/X3Gs6mrt3avLL5fEznmcL3yy8hFWDzZs0P796e/JzJih/v0VRdSO84gRPgfhLW9uVl2dmpsVx+rTR59+qurqvI8MXR2jST6iSCtX6vDh9Arc/PnUjiwwwmctLM5/841qa/Xzz0oSDRmi7dvVuzdb63DeMcJnLXzBzp+v48fT+2TmzlVNDZfikAWCz1qo+sYbNWCAikXddJMmT877mGCDKX0OwtT9+HEtWKCRI1Vfz6/BIiMEDxhhSp+bJFGxmOMTseGIER4wwggPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wAjDvxTnQfjYQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "action": "('move', [-2.4294713703307234, 0.6040981612980759, -10.505864410242907])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2fac98a36a5a179a689187f31a5e9d4d0230b36528fcf9525ba6ce05522acce3"} +{"episode": 38617, "episode_seed": 2301600826, "split": "train", "timestamp": "2025-09-15T23:24:50.080608", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2301600826, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "action": "('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKwklEQVR4nO3dX4gVZQPH8d/MmdUtNWzZ2hbNPxvEQqIXZookSwhKS7p4FSRIBgWS1kpofy4K0aI/RFB3SlAQhERFlEmBbNZF9GeLQNCb3dwWNXdXwVVPds6ZmfdippX3faub989Zn9/3c+fuzSPs9zzPmXmemSjPcwHwEDd7AAD+fwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfNDSVI2G8rzZ48B0EeX8NQA2kmYPAP8z9bq+/FLHjmnFCq1e3ezRYFpgSR+iYtV25Ypeekn9/Tp4kFU9CgQfrlmz1N2tGTM0Oal6XRLZg+BDFEXKMsWx2ttVq2l0VLVas8eEaYHgA5VlktTZqZYWTUyUMzzsEXygitX77Nmq1/XTT6pWmz0gTAtcpQ9UpSJJd9yhRx9VW5vmzJGkKGruoNB03IcHjLCkD12ec3EeUwg+dFmmalVXrjR7HJgWCD5cxcT+1lu6/369/nqzR4NpgeADledqNCRpYECHDmlgoNkDwrRA8IGKonKGX7RIlYpOn272gDAtEHy4iptw7e1KU42OKk2bPSA0H8GHqwi+o0NJompVZ89KbKd3R/Chu+UWzZmjWk2//NLsoaD5CD5cxQx/883lNrviazwzvDeCD1ccS1JHh2bNUp5reFgieHfspQ9alqmtTbfdpjzXTTdJbKd3x156A5cvK8/V2qqEz3d3BO8hz5WmqlSY4c0RPGCENV7Q8lxRpKEhffihGg098oja2sofwhLBB61o+/hx7dqlJNG6dWprU5aVj8eAH4I3MG+eZs+WVG62gzHuwwetWLrfeqtaW3XpEntvQPBBK87MtbertVWSzpyRCN4awYeuyLujQyJ4ELyJRYsURRofl9hsZ43gQ1fkPW+e8lxjY0pTJQmTvC2C99DVpRtu0MyZmpy8+jAc+GGnnYeREQ0NafFiLVigSoW9N7YIHjDCkt4DH+uQRPAuoki//qqvvtLIiPTHu2Xhh+A9/P67+vq0dq3efVdS+ch6+CF4D5WKbrxR9brGxsp/whLBe6hUtHChJE1MlE/C4Fu9JYL3EEWaN0+Sxsc1OSlxGc8Uwdv4l+BhieANFJP5/PmSND6uixev/hBmCN5A0XZnp1padOFCGTwsEbyN1lbV67pwQefPN3soaBoecWVg6p1Tb7yhNNXSpdIf76WBGfbSA0b4mHfSaKhe53KdM2Z4wAgzPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCR1DSlBfn/R2eaYdwFO/Uwd9ghkcgskyVio4f19gYT/H6SwSPa16eK88Vx3rnHfX2avv28jm9+HcEj2tbMZlHkfbu1YMP6uRJvfee9u+XeCn2nyF4XNuiSGkqScuXK0mUJIpj7dmjEyeUJOWvMIXgcc0rwu7t1e7d5Tf506f1xBO6eLFc7WMKwSMEcaxGQzt3auVK1etKEn32md58U0lC8P+E59IjEFmmONbgoHp69NtviiLNnasjR7RsWfkriBkewYhjZZmWL9eePcoyRZHOnVN/v6pVRRHzfIngEY6i+R07tH69Gg21tOiLL/TaawR/FUt6BKVYvZ84oZ4eTUxIUpJoYECrV7Owl5jhEZhiku/u1t69imPFsWo17dihc+eU52yzJ3gEJ4rUaGjzZvX1lQv7H3/Uiy+qUmFhz5IeISpO0QwPa+1ajYwojlWp6P33dd99ajSUGB8ZY4ZHgCoVpam6urRnjyRFkWo1PfecTp1SpWK9sCd4hKkIe8sWbd5cLux/+EEvvNDsYTUbS3oEq/jTnpjQqlUaHi6n/Q8+0KZNynPTE3UEj5AVYR86pA0byrvx8+frm2/U2WnaPEt6hCyKlGXq7dVjjynL1NKi0VHt3CnJ9Io9wcPCU09p5UrVakoSHTyoAwfK8zZuWNIjfPW6Wlr0+efq61O9rjzXggU6fFjd3XaPwWOGR/haWpSmWrdOO3eWB+ZPntTu3bp0ye7APMHDQhwrTfXkk1qxojww/8knevvt8sC8T/Ms6eGiuCz//fdas0a1miTNnaujR7VkidEVe2Z4uChuy915p/btKxf2589r+/YyfhMEDy95rm3btH59ubA/elSvvFLevXPAkh5eilPxx45p7VpNTCiKNHOmjhzRqlUWV+yZ4eGlODC/ZImefbZ8Hka1qv7+8mkZwc/zBA87UaR6XVu3qrdXaaoZM/Tdd3r11XJ6D3vJy5IejoqF/fCwenp06lR5YP7jj7VuXeAH5pnh4ai4Ld/VpeefL+/J1Wp65hmdPRv4g3EIHqaKsLds0QMPlAfmBwe1b1/gN+RZ0sNX8bc/Nqa779bQUDntf/SRNm4MdisOMzx8FVtxOjrKW/FF5P39OnMm2EfZEzysFS+f3bhR27aVB+Z//lm7dkmB3qJjSQ93xRX7M2e0YYMGB8vv9gcO6KGHArxiT/BAeWD+8GFt2qQ0VZZp8WJ9+qluvz207Xcs6YHywPy99+rxx9VoKI41NKSnn1a1KoW1FYcZHpBUvoiqWtU992hwUEmiRkP79+vhh4O6Yk/wQKkI+9tvtWaNGg3lua67Tl9/raVLw2meJT1QKg7J3nVXeWA+z7Vsma6/vtnD+q9ihgeuyjJFkS5f1tatWrhQL7+sOA5nehfBA38vpNrFkh74U1Mvkw+pdhE88FfiEOMI8f8E/McCm9inEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMg/AJLX9OdQ7IZtAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "action": "('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/ElEQVR4nO3d34sV9R/H8dfMnHW3dk06bW2LrmmFVKbhRZESWASRgQhK/iDCjCiiCLuw6D+oIAiLrgIzDHEJ7JcZ/RIMIrvItF9kWZpk6S7lrrroOWdmupj5FnyvdN3dmZ3X83G3x5sPi899z4/PzAnSNBUAD2HRCwAwcQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQfKXFsVotpWnR60BZBCn/GwAbtaIXgHHTbGr3bn37rW6+WYsWFb0alAKH9FWUHbWdOaPnntP69dq2jaN6ZAi+ujo7dd11mjJFw8NqNiWRPQi+ioJASaIwVHe3Gg0dOaJGo+g1oRQIvqKSRJJ6e9XWpsHBfMLDHsFXVHb03tWlZlP79mlkpOgFoRS4Sl9RUSRJc+fqscdUr2vqVEkKgmIXhcJxHx4wwiF91aUpF+fxL4KvuiTRyIjOnCl6HSgFgq+ubLC/9ppWrdLGjUWvBqVA8BWVpmq1JGnXLu3YoV27il4QSoHgKyoI8gk/a5aiSEePFr0glALBV1d2E667W3GsI0cUx0UvCMUj+OrKgu/pUa2mkREdOyaxnd4dwVfdlVdq6lQ1Gvrtt6KXguIRfHVlE/6KK/JtdtlpPBPeG8FXVxhKUk+POjuVpvrlF4ng3bGXvtKSRPW6rrlGaarLL5fYTu+OvfQGTp9WmqqjQzX+vrsjeA9pqjhWFDHhzRE8YIRjvEpLUwWBDh7U9u1qtfTww6rX8w9hieArLWv7hx+0YYNqNd11l+p1JUn+egz4IXgD06erq0tSvtkOxrgPX2nZoXtfnzo6dOoUe29A8JWWPTPX3a2ODkn64w+J4K0RfNVleff0SAQPgjcxa5aCQAMDEpvtrBF81WV5T5+uNNXx44pj1WoMeVsE7+Hqq3XJJWpv1/Dwfy/DgR922nk4fFgHD2r2bM2cqShi740tggeMcEjvgT/rkETwLoJAf/6pzz7T4cPS/75bFn4I3sPZs1q2THfeqa1bJeWvrIcfgvcQRbr0UjWbOn48/xGWCN5DFOmqqyRpcDB/EwZn9ZYI3kMQaPp0SRoY0PCwxGU8UwRv4/+CLw3+8kwkgjeQJTVjhiQNDOjkyf8+LFQcswNoohG8gazt3l61tWloKA++aNl7d4JAjQZ3CScOb7yx0dGhZlNDQ/rrr2IXkk31MNT+/XrzTZ08qRdeKHZFRthaayAr7MQJbdmiONby5errK/xgur9fTz+tQ4ckad8+zZ9f4FqMEDwmWpIoDNXfr1Wr1N6uRkNr1uiNN/LPMa74BTtptdRsFn65LjuwWLZMS5fq7FlJev99ffedgoCT+XFH8E5qNbW1FX5ZPAjUbKq9XffdpylTFIY6cUIvv8xz+hOB4FGAWk1Jorvv1q23Ko4VBHr3XR04oDBUHBe9uEojeBQgCBTHmjZNq1dryhRJ+v13bdrEkB93BI9i1GqKY91/f/5l1kGgt97Sr7/mn2OcEDyKEQQKAnV16aGHJCkM9eOP2r49/yeME27LoUhpqtOnNWeOjh1TmmrePH3wgXp7C98lUFlMeBQpG/JPPqkkUVub9u/XRx9xGj+OmPAoUjbJjx7VggUaHFSa6sYb9cUXuvjioldWUUx4FCm7LN/To0cfzR+n+eYb7dwpleJxvgoieBQsTRVFuvde9fTku2uffbboNVUXwaNg2Y7aG27Q6tX51tp9+/T22+y0HRcEj4JlR/VBoDVrdNllktRs6qWX1GpxVD/2CB7FiyIliW65RUuWKEkUBPryS338saKIF2qPMYJHKWSdr12radMk6eRJvf56fkrPnB9DBI9SyHbU3nGHFi5UmioMtXOnPv+cx2nGGMGjLIJAUaQnnlBbmySdOKGtW/Nr+Az5scLGG5RIdvVu0SLt2SNJ9bo++UTz5/MynDHDbxGl88wz+SacwUFt25Y/MI8xwYRH6Zw5o4UL9fXX+Tfi7d2rGTN4nGZsMOFRLkmi9nY99ZSkfMhv3izxzOwYYcKjXLJJfuyY7rlHX32lMFR3t376SVOn0vwYYMKjXLK3X/X06IEH8pdkHD+uV15hp+3YIHiUzr/vsb7++vwm/KZNGhpSmnJ/7kIRPEonDNVqaeZMrVghSUGgQ4e0eTM7bccAwaOMsidq1q3TzJmS1Giov19//80mnAtF8Cij7HGa2bO1bFm+2W7PHu3YkQ9/jBrBo6SyIf/446rXlSRqtbRli06dUq3GkB89gkdJZc/JzZmjpUvzIf/hh9q9my+ruCAEj/LKmt+wQW1t+SX6V19Vo8G++tHjN4dSCwLNnavly5UkqtX03nvau1fiFZejRfAotSRRmmr9+vzHZlMbN0rstB0tgkepZWHfdJNWrFCrpSjStm36/ns24YwSwaPUsh21F12kdevU0ZFvvH3+eS7djRLBo+zCUEmi227T7ber1VIQ6J139PPP7K4fDYJH2f37ZfIrV6qjQ5KGhvTii/nnOC8Ej0kg23i3cqXmzVOaKkm0c6cOHFCtxpA/PwSPSSA7qu/s1Nq1CkNFkQ4fVn8/Q/688QIMTA7Z/9ORES1YoEOH1Gyqr0+ffqprr1UcK4qKXt8kwYTH5JBdlu/s1COPqNlUva7Fi/Obc9yTP3e1ohcAnKtsR+2DD2pgQEuWaPFiSfm3VuAccUiPySqOFYaM9/PDhMckkx3GZy+up/bzxYTH5MN5+6hx9oPJh9pHjeABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AOG+MsbOv3esAAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "action": "('move', [-5.19472711659232, 3.6471904568218165, -9.272856438661876])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKl0lEQVR4nO3dy28VZQPH8d/MOdU2bRGwtCWFUAtawUsqsY23YEUlNNHoxvhHuNGFS/easPCycenOuHJjkSgGrSSYiGkrXhM1hRpAWg30Jp7bvItnXpq8eU3knMqZM7/vZ0Unafsk5XueOTPPeSZKkkQAPMTNHgCAG4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwedatapKRUnS7HEgK6KE/w2AjWKzB4B/TbmsqSl9841GR/XQQ80eDTKBU/o8CmdtV6/qtdf04ot67z3O6hEQfH51durOO3XTTVpaUrksiexB8HkURarVFMfq6VGppPl5lUrNHhMygeBzqlaTpO3b1damxcV0hoc9gs+pcPbe1aVyWbOzWltr9oCQCVylz6lCQZLuuksvvKCtW9XdLUlR1NxBoem4Dw8Y4ZQ+75KEi/O4huDzrlbT2pquXm32OJAJBJ9fYWJ/5x09/7zefLPZo0EmEHxOJYkqFUk6cUKTkzpxotkDQiYQfE5FUTrDDw6qUND5880eEDKB4PMr3ITr6VG1qvl5VavNHhCaj+DzKwTf16diUWtr+u03ieX07gg+7/r71d2tUknnzjV7KGg+gs+vMMP39qbL7MLbeGZ4bwSfX3EsSX196uxUkuiXXySCd8da+lyr1bR1q3bvVpJo2zapoeX04RO3aGmspTewuqokUXu7ihvw+r62po4OPobTqnjFNtDZqc5Oqc7z+bAY/88/9dlnOnJEjz2mr76q+4ehyTil9xBFdU/vSaI41tycxsfTI5OTuv9+JvmWxAyfa2EW/vlnHTmiV1/VH3+sH/zHQtj9/TpwQIWCokhHj274QHGDEHyuhba//14vv6xXXtHcnPTf3a/+sbBId/NmHTigalVxrJkZzc+v/3i0EII3MDCgri61t6eL7a5ftaoo0uioJCWJSiUdP84H7VsSwedaOB3fuVPt7VpZqXvtTfgxe/dqeDg9P5ic5D18SyL4XAun4z09am+XpAsXpHqCLxRUq2lwUPv3p52fPq3V1fWP5KFVEHzehSL7+qT6g5dUqaitTfv3p9/9++86eTLd/x4thOA9DA4qirSwINW52C6ssRsbU0+PJK2u6vhx6bqvAKLJCD7vQt4DA0oSXbqkalXFYn1n9UmisTHt2SNJSZIuvwnH0SoI3sPQkDZt0s03a2mpvnfeUaRyWe3tuuee9MhPP2lmRnHMJN9KCD7vwgz/7LN6/329/bY2bVo/eJ3CWf3Bg+kVwF9/1RdfSGIrnVbC0loPu3Zp1671L+sKPjzM5okntHmzLl5Mz+qTJD2OlsAM72Ej3meHa/I9Pdq3Lz0yPa3z59ObdmgJBO8hinTxoj7/XGfPSg1dW08STUxIUhxrdlY//NDgz8MNRfAe/vpLzzyjxx/Xu+9KSresv35RpCjS4cMqFBTHqlQ0PS2JjTFaBn8oD4WCtmxRuaxLl9Iv6xLe++/bp9270xeNTz/V8rLimJtzrYHgPRQK6UW7xUVVqw3ePY9jTUwoihTHOnkyfQ0h+JZA8B6iSAMDkrSwoKUlqf5Aw/cdPqwkUVubrlzR11+nvwHZR/A2/if4xtx9t3p6VCopivThh0oSgm8NBG8gTMo7dkjSwoKWl9cP1uvWW/Xoo+lH4j/6iKdRtwyCNxDa3r49PQUPwdcr3I3v6NDBg5JULOrsWX333frvQZYRvI32dpXLunIl3dmuASHskRF1dKR34I8epfbWQPAGrj1z6q239PrruvdeqaFb5+Fbh4Y0MpIGf+wYm2G0Bh5EgXqE3SxfeklvvKEo0pYtmp3Vjh1cvcs6ZngnlYrK5Q2ZiGs1RVG641WSaGVFH3+sJGGNbdYRvJNiUW1tGzIFh7P60VENDUlSqaRPPmHHqxZA8KhH+ITc8LCGh9MjZ85oZUXFIs1nGsGjTpWK4nj9mVPnzunUKSb5rCN41Ck8q258XLfcIkmXL+vUKYmPymYbwaNOYTJ/5BH19qZHpqdVLqutjftz2UXwqFO4Pt/WprGx9MjMjH78kbP6TCN41C+8e5+YSJ8qOzenM2ck1thmGMGjfuHm3JNPqqMj3Qzn9On04/bIJoJHo7Zt0333qVZTkmhqSouLnNVnF8GjUUmip56SpGJx/dHxyCaCR0PC4vlDhySl21qGp1OwrWU28WfBBrjtNt1xh0olSTp2LP0HMojgsQG6unToULqt5dSULl+WuFafSQSPhoTrc4WCxseVJCoWtbysL79s9rDwNwgejQoz+d696u1Vuawo0gcfNHtM+BsEj0aF63M7d+qBB9a3tWQnjGwieDQqilSpqLtbDz4oSXGsCxc0MyPxNj57CB4b4Nq2lp2diiJVq+lZPY+OzxqCxwYIa2lHRrRnj6pVlUr69ttmjwn/T7HZA0AexLFqNfX367nn9PDDevpp3X67VP9DK/FvYddabIxwla5UUrHIMrvsInhsvGo1XYSDrCF4wAgvwoARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8B4BJfMe2TaVUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f44605ef9e8d1c4a500e1760e7b634df326426090c2442e9f7f7b3edf67a38e0"} +{"episode": 38618, "episode_seed": 286579099, "split": "train", "timestamp": "2025-09-15T23:24:51.067634", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 286579099, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "action": "('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKx0lEQVR4nO3cfWiVZQPH8d/Z2QvaH71ObaJEIDELF72ysEVREytDHM0VGiFsFBFjs6zon5UxhtB7Y7CGMF1K4MKWCxr0woK5URCIA6XMsdpYRllE6tw55+6P+362o9jzPKnr7Jzf9/Pn4Ry4z3Z/z3Vf13WfEwuCQAA85GX6AAD8ewgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgj+/5NKKZXK9EEAFyo/0weQDYJAeXwyIhdwHv9X4agei6mrS52dmT4a4EIxwv+9REL5+Tp9Wlu3ats2JRK6/nrdcouCQLFYpg8OOB8Efy5BoGRS+fk6ckTPPKO9eyWprEzJZIYPDLgwXNKfSyym/Hz19uqBB6LaN27Up5/q9tsZ3pHVCP5MQaAg0OSkWlpUXa3Dh3XppXrjDe3YoSuvVCpF7chqsSAIMn0Mc0P4d0gkVFCgt95Sfb0k3XCDWltVURGt3rFWjyxH8JKkVCqKOZlUPK6xMa1Zo5ISbd+uBQuigZ2xHdmP4NNW43/6SUuWRLP08XEtXKh4fOazIPuFa5HxOJ9dvnLkVD5/U1PKz9f4uGprVVmpI0ckKQhUUqJ4PMduuQnXIiUlEpk+FGRI7pzN/1gQKJVSQYEGBrRunXbs0KFD6u5WLKZkMprS58pQGL6bX3/VF19E2adS4trOkGvw4XV7Xp46OlRVpaEhxWJqatJjjykIcu+qN1xz/PxzPfywKivV1aW8vJm3SPk+jOfwJ0+qsVEdHUokVFKit9/WunWZPqZZEX64HT+umhr19UlSUZFKS9XYqOpqFRVFz8mt6QvOzS/48PQ/elSPPqrBQUm6+261tqq0NMcu46eFy44HDqiiQr//LknxeHTT4LJl2rJFa9Zo4UJJ0YPxeOaOFbPM6SM9lVIiEU1eR0c1PKxYTA0N6u1VaWkO772F4/aKFfr4Y23YoMWLo7ALCvTtt6qt1R136LXXdPiw4nHF45qa4h7inGUzwqfvroWDfFeXTpxQXd3MIzlt+i1+9ZV27VJ3t374QZIKCjQ1JUnXXquaGlVV6aabJCmRyL2lDJgEH57sBw9q92699JLy86P9aEnJ5BnrVzkt/BWPcGfuwAHt26e2Nv34o5SW/dKlWrVKtbW69dboVTk60TGV68FPD+x796qhQSMjevFFvfKKEgnl5c2c/k7CPcfwfY+O6qOPtG2bRkeltLl9cbEqKvTcczPZ5+6Mx0tOz+HDqk+dUlOTHnlEIyO6/PJoeSrck/OrXVI8Hl3iBIGWLtVTT2l4WG1tWr486jkW088/q7tbK1dq9Wr19+vEiegyKFwDQfbK3RE+vIwfGdGzz2rPHkkqK9M772jlyly6W/YCpa9dpFLavl07d2poSJOT0Xge5r1qlZ58UnfeqSuukKSpKcXj/AmzUk4H39enzZs1PCxJNTV6/XUtWuSwPnce0vfhd+/W+++rtzdat8vLi6b3996r9eu1dq2uukpiVS875Vzw00tMo6MqK9Nvv+mSS9TUpIaGaIbKLvPfm17BTCbV16c9e9TZGf3NprMvL9fatdq0Kcqez8/skkPBp596QaCTJ/X889q3Tx0duueeaPud2v+X6V/3kpRI6Jtv1Nmp9vao9ulVveuuU1WV6uu1YEH0Qlb1skKuBD89LZ+Y0KJF0YNTUzp2TIsXs7P0T6VnHwT6/nu9+aa6unT8uKRof0NScbE2btTTT+uaa6IXcp0/x+VE8OEX2pNJvfuumpu1das2bJD+c48oF53n66wb7MfH9eqr6unRd99JaaP9vHmqq9Pjj6usLFrnS6XIfo7K/uDDsX1iQi+/rLY2SaqsVE+PCgujJ3DeXbD0K6SJCXV06MMP9fXXklRQoGRSqZQKC7Vpk9at0333SWIKNUdlefDh6D04qMZG7d8vSatXq7lZN97IwH7RpV/nj4+rp0e7dunLL6W07IuK9NBDWr9eVVXRS8RH7lySzcGHY/vRo7r/fh06JEkvvKAtW3TZZdQ+e8KvIIXXT8eOqb9fbW367DNJysuLZgHz5+u221RXp5qaMxZS+Z9kXDYHLymZ1NSUmpvV2qr29mhYYe9t9qXflv/nnxocVEuL+vt1+vTMcwoLtXy56utVXa358zN1pDhDlgcfjhp//KFTp1RcPPMI/hVn/Xj3wIBaWjQwoF9+iR4Pn7BsmTZv1oMP6uqruT8vw7I8eMwBZ03U9+9Xe7v6+jQ+LqV9D2/JEu3cqbvu4goskxy/PYKLK32WnkqpvFzl5Roa0gcf6L33NDYmSYWFmpzUvHkZPExIjPC46MLl+oICSTp4MPrW/eionnhCbW3RPRPIFILHrEj/ebyxMX3yiVas0M03R/fkIFMIHrPI6feEsgPBY9axczJ3sEmCWUftcwfBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wMhfY4noSyfOrG0AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "action": "('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJR0lEQVR4nO3bS4hd9QHH8d+duTGKYGaSmMSIe0VBKIIbEXQh2NKNRRHR7hRciG+hO4s1+FgoPjYaChVpNwoudCPoUu2+gi5E0VZUWk3Ma5J53C7udSaNMVajzuP3+XAY7r0kM2fu3O/5n/M/5wxGo1GADlOrvQLAL0fwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETw/5+lpSwtrfZKwOkarvYKrAejUaZsGdkIfI5PaTyqDwZ58cX85S+rvTZwuozw321hIcNhjh3LQw/lsceysJCLL85ll2U0ymCw2isHP4bgT2Y0yuJihsN88EHuuy+vvJIkl16axcVVXjE4PXbpT2YwyHCY117Lb34zqf2WW/LGG7n8csM765rg/9dolNEoR4/mkUdyww15//1s2ZInn8wLL2TbtiwtqZ11bTAajVZ7HdaG8fuwsJBNm/LUU7nzziS55JI8+2yuvHIye2eunnVO8EmSpaVJzIuLmZ7Ov/6V3/42u3fnz3/Ojh2Tgd3Yzvon+ONm4z//PBdcMDlK//TT7NyZ6emVbQGsf/Uf5fn5DIf59NPcemuuuSYffJAko1F27870tEtu2GCKP82jUZaWsmlT3nor112XF17Ie+/l5ZczGGRxcXJIbzeejaU1+PF++9RU9u7N736Xv/89g0EefDC//31Go0xPS50NqfXCm8EgR47knnuyd28WFrJ7d55+Otddt9qrBT+vvuDHY/uHH+amm/LOO0ly1VV59tlcdJHdeDa8puDHt7iO9+Q//jjvvpvBIHfdlYcfzllnrcps/GiUhYWVi/eWv57wFH4qNaflju95XNiLL+bw4dx228ora8/xt+Gf0L/NAT9CR/Djnv/xj/ztb/njHzMcTi6wSbK4mKmpX76b5ZP9jz+egwezc2e2bMnsbGZnMzOT2dls3ZqZmczMnO5POSmbiVobfZd+PLAPBnnlldx9dz76KINB/vSnyTm5paUMV+cdWFrK9HQ+/zzPPZfDhycvbtqUM85YWcZPN2/O7Gy2bfvOZXZ2su36tu8Ne3zrwPLchWsONrwNHfz4Erq5uTzySB59NHNzmZ3Nzp3JN5/u1f6AHz68UnuS+fnMz+fQoVP9l/GKL6/+1FSmp7NlS849N9u3TzYB4wfbt08ebN2azZszHJ64jCcLjPZVNm7wo1GGw3z0Ue6/Py+9lCSXXppnnskVV0yG11U1zuyss/KrX+XYsRw5kiNHMjeXo0czN3eq++7Ht+rnm/LH4/OBA/nnP0/144bDSfnftZxxRnbtyoUXrtnZDH4aG/cYfjTK66/n3nvz7rtJcuONeeKJ7Nq11j7RR49m//7s3599+yYPlh/v25dDh3LgQA4ezMGDJz44tcEg09OTfYHx4cvy1YPf5aqr8uabmZ/Ppk0/4e/H2rLhRvjl49FPPsmNN2bfvpx9dh58MHffnenplbm6NWPz5uzYkR07TvVv5uZy6FAOHsyhQ5NlXP44/q++yr59Jy5fffX9G4XlLcL4jTnnnJ/w12KN2kDBj4fu8eg9GmX79txyS159NXv35uqrJ2PcGqs9WZkzO/7B8tfxUfqZZ+bMM7Nt26m+z7FjOXp0ZVk+Oti/P//5z8ry5Zf58suVp19/vfIdTvOMAOvCRtmlXz7N/tln2bVr8uL8fL74Iuefv64vofv2VmD5Lza+l+//n10fH/+Pl4WFydf9+/Pvf+eLL7J7dy67zN3AG9yGCH48G7+4mOefz549eeih3Hxzksl4vsYO2n8Ox/8Nv/33NBXPsvW/MR+fS//ss9xxR26/PZ98kr/+NQsLK1PYBR/25RNsx5+uW15O+gYsn4E//lQ8G946P4Yf79S+807uuSdvv50k116bPXuyeXNJ6j+a96bTet6lHx9ufvhhfv3rvPdekvzhD3nggczMqB1Oaj3v0k9NZXEx552X66/P1q156aXs2ZOZmSwuqh1Oaj2P8PlmQu7AgczN5dxzV14BTmadBw/8EOt5lx74gQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4L/T1ZdV5zOa4AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "action": "('move', [-22.25693221360551, 1.4956695325605445, 20.951111394243924])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6341d3da71c1991f9759f6b916d361693872ca68683f926478667199b8b56e6a"} +{"episode": 38619, "episode_seed": 610585661, "split": "train", "timestamp": "2025-09-15T23:24:51.711069", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 610585661, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "action": "('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "action": "('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "action": "('move', [39.954098086049044, -37.15381507235039, -26.15872434943833])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHrElEQVR4nO3bX49U9R3H8e+Z2V2tGCNFgQRiDH9bFoEG0G2EtZaWKx+FD8On4oUPw9gU6CJaYkugQFsUNuWPvaglgWSByDIzpxcz3QWUVpc/C/m8XtmrMycns9l5z+93vjPbtG1bQIbOcj8B4MkRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPA+lbavfr7Zd7ufBD9O0/lY8tGH2TVOdTjXNcj8bHswKzxINV4pvvqkTJ6rXq7Gx6nZHtbft4g9PlbHlfgI8q3q9Gh+vjz+uDz6oVavabVv70+92p6eb7dvvX+SH5Q8PWv+Xly09SzQ/XxMT9f779dFHwwNtt9P85IV69af9fdPNgd903n671q6pF1ZU5659ZK9XTTPa/PPkCZ6lGL5q+v1677365JO2arRwN51qBwtnDX62pX71687+/TU5WWvX1po1i1fo9aptq9Nx2/9ECZ6lGG7R5+drZqYOH27PnWvOn68v/972BjWMf2y8mqo7d0bnN029ubfefKt27Rhs2dps2dqsXr14tTt3Rmu+Zf9xEzyPxoUL9bezg3PnmpN/af78p/bC7KCqW1VNU+Pj1e9Xvz88cbDy5Wbb9ubnW9o33hjs3tvdvbuef350EXf7j5vgeSjDksfGFhfn27fr6yvtlSt18lRz7FgdPVpXr44eGi7j/y2/rao1a5p162rz5tq3r/bvr50777++t4BHS/A8AsMsB4OqqrG7Pvn59tuam6vZ2ZqZqd//rn/iRN241V3Y599tbKxefLFWvdx/a6o58NvO9HStX1/PPXdP5MN3iuHMT/xLI3gesYVP4L87jbt5s774oo4cbj+dGVz6unv1as3NLQ787rvM5o2Ddw9033mndu1sX13dvPLK4tX6/RoMDPyWQvA8Rgsvru9mefVqHT9efzzWP32284+LzYULdfv26KFut5pO9RY3Av29ezpTv2z27KlNm2rjxnum/QZ+P4rgeaKGO/+2vWfnPztbZ87UX8/WmbN16mT75VftwndAJyZqMKheb3TmSy/Vjh21fbKd3Nb+Yndn165aseKJ/w7PMsGzPIblD/rV6Va3Ozo4P1+XLtXli4PTZzuffVbHjvb/9e9mGP9wDV8ov2qwdm3ntddq04b+1FRn33QzOVkTE4sTPr6X4FlmCwO/tq3x8cXjt27V9Wvt5cvN0U/r8OE6frzm5kZzwfsu0O0069bXhx/WwYOjb/XzIILnKfKggV/b1s2bdeJEHTnS/uHQYPZi9/r1unFjceD3+ut16FBt2DAa5vEggucp9T8Gfteu1eef17GZ/qnTzZV/ds5/VVNTNTNTvd7if+zxvQTPM2Nh/V+456+qS5fq+PFaubIOHrS8/3+C59kzGvgNqmncsf84gufZNiy/Svk/iOAhiDseCCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIf7Rqn+LttOzIAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c2a50bc3ec65e47705207ed7f0be9d063f8b878b9fc8d0c8708fcb8aa25bc776"} +{"episode": 38620, "episode_seed": 2115595880, "split": "train", "timestamp": "2025-09-15T23:24:52.362338", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2115595880, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "action": "('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7klEQVR4nO3cX6jfdeHH8df3e86x0Z+ZCBlmWZRXxWzURWVQGYShZRdGssoaCIElNTcX6LbT2vJPRYG3/ZFiFUVQMIbSKDT6M1tkF10EodK6SBASysT2Ped7fhff747TdkaZ/M6f1+NxuX1hH758nt/3n8/7s8HS0lKADsPVvgDg/4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjg142lpdW+AtY/wa8bg0GWlmTP/0Twa9qk8CefzO235y9/yWCQwSCLi6t9Waxbgl/TlpYyGOQrX8ktt+Ttb8/3v5/RKDMzGY0M9TwXgyU3zlq1uJiZmfzsZ3n/+3PyZEajJPnIR7JzZ974xungP/SLzX/D/bLWbdqU170uo1GGw8zO5tChfOAD+epXMxhkODTO899ZAyP8eGycOrtHH81dd+WOO7K0lNnZLCwkyeWX54tfzJvelCTj8XR5D2e3qsFP/unJNtRw6IY9o+Xfw1//Ojt25IEHkmRuLqNRXvKS7NqVm27Ki19shs9/ZFVvkJMn86lP5eGHMzNj93klw2HG4yR561vz859n//68/OUZjTI7myeeyPx8Lr889903neFP1vmwklUd4UejnHNOXvOa7NuX667LcDjdp+JMludDv/1tPv/5HD6cnBrqB4Ps2JFPfzqvelUWFqa/n/DvVjX4hYVceGEeeyxJrrkme/bk0ktX7WLWiYWF6TL+G9/IbbflxInMzWVxMeNxtm7Nrl3Zti2xMcIKVu+mmGxAHTmSK65Ikh/+MO99b+6/f/pXzpStYHZ2Og36xCdy9Gg+/vGMRhmPc845efDBbN+ebdty4sS0dl8hz7IGdumffDJ33519+7J5c44dywUXPD082cxbwdJSxuPMzGRhIYcPZ+fOPPJIcmrBf8EFOXAg27dndtZmHs+w2sEvt/3732c4zJYt0z//05/ywhfmFa+Ybli5Yc9k+ct7/PHccku+85384x/TVX2Sq67K7bfnDW9ITi0EYLWDf5bJbPXhh/Oe9+Tcc/PlL+dd70rcsGczOX6b5MiRHDyYY8eSU5t5mzdn795cf31e+lKbeSRr6KTd6Yv248fz0EP53e9y5ZXZuTOPPvr0cRP+zaThhYVceWXuuSef+1w2b85olLm5/P3vufnmXHNNjh7N7Oz0fTuarbERPsnSUv75z/z0p9mzJ3/4Q5JcemluvTUf/OD0bw1SK1ieBj3wQPbvzz33JKeG+vPOy/btmZ/P5s1PP96j0NoLftljj+XOO3PXXRmNsmlTrr02Bw7koos0fxbjcZaWMjOTJ57It7+dPXvy+OOZmZmeaXr963PHHbnqquknncYttCaDP31n+b77snt3jh9Pkg9/OIcOTT8wWe27Yc9k+fjSQw9l164cOTI94nTyZAaDXH999u3LRRc945OUWJPBTyxPPZ96KgcO5PDhHDqULVueMcK7YVdw+rz9m9/Ml76UP/5x+hM6Hufii3PwYD70oemEf7K8p8EaDn5i+dHTX/+al70sSWZmcvx4fvWr3HDD9JSZ5lewPFV65JHceWe+/vUsLk6H+iTXXpvdu7N1q2f1RdZ88Dk1gV8+RPK3v2Xbthw9miuuyN69edvbVvv61rrlzbzDhzM/nwcfnC6GFhZy8cX55Cdz881JbOZVWA+/6oNBZmen+1HDYebmcv75SXLvvbn66szP56mnEudIVzQ5jTse533vy733Zs+eJFlYyNxc/vzn7N6dd7wjx49P9/AmXzMb1XoY4Z9lMuB/97vZuzcnTiTJZZfle9/LK1/plZGzWD6Nm+TYsezYMT2iMznisGlTPvvZ3HTT9Lnd8ifZYNZhHpMB/7rr8stf5mMfywtekPPOe/r5MisYDDIzM/2S3vKW/OIXOXgwF144nfD/61/Zvz/vfnd+8pPpJ71avyGtwxF+Ynkw/8EPcskl2brV7t1/7vRX62+7LT/6UZLpZt5wmBtvzGc+k1e/2omHDWjdBp+Yev6PJsdvR6N861s5cCAnTkynAONxtmzJrl356EdX+xJ5vq3n4CcWFjIcWro/N6cf0fnCF3L33cmpoX5uLvPzufVWLy5tKOu/k9lZtT9nkyF9cTGvfW2+9rX8+Me55JLpU/pzz81llyUe1G0sUmk32aKbrI2uvjq/+U1uuCHnn58bb8w73zl9qZYNY/1P6Xn+LO/S3X9/3vzmvOhFq31BPN8EzzPYCd3YBM8Z+M8ENyrBQxGbdlBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDk/wDGAIwjJ0q7dQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "action": "('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "action": "('move', [-5.067192995864409, 0.15592158867562858, -0.07251354688365079])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3e6bd30e683b715e12446b0962045c007cf954679ec6b339413165fa05afdc50"} +{"episode": 38621, "episode_seed": 2247921792, "split": "train", "timestamp": "2025-09-15T23:24:53.010100", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2247921792, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "action": "('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "action": "('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJqklEQVR4nO3dz49VZ+HH8c+ZGYwZJmAotgQosdBSTI31V9KEaNWVrk1M3DRu/D/c+jcYF8Z04calujTExDQx/ojSIiAMMBU6lkipRCHDvdfFvczQKfb7jQGmvZ/XKycT5nAnPDM37/uc85zDnWEymQTosLDTAwAeH8FDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcFDEcEXm0x2egQ8boIvM4389Ol897v5zndy/frWTgoIvtLaWn7yk/ziF/nTn5JkNNrpAfGYCL7SV76Sffty61b++MckGY93eDw8LoIvMwxJsrKSl17KMOT06UwmWVpyVF9C8K2+/vVMJvnDH7K2loUFwZcQfJ9p2y+/nMXFvP12rl7d2sm8Gyae6TaTSYYh776bn/40J0/m05/O4uJsJ/NO8PXG4wyD2ks4pC82vRq3sKD2HoJvNZnMzuF//ONcuTLbw7wTfKXpYfzaWr71rXzve/n5z5OY5xsIvtIwZDLJU0/l8OGMRjl1yr03JQRfaRhy924+9rF84QtJcupU/vWvnR4Tj4PgW00P4D/zmays5K23cuZM4jR+/gm+1cJCknz2szl2LMOQX/1qpwfE4yD4VgsLuXs3Bw/m2WeT5NSpxAw//wRfbHp33Re/mGHIa6/l5s3ZtM/88gQXm+b90ktZWsrycs6fT/xX2Tnn1tpimzfV//KXOXQon/98du/e6THxaAkeijikrzeZZGNjpwfBY2KGJ0mytpYzZ3LoUF54IeOx1bt55XklSfLNb+Yb38irrybJ3bs7PRoeFcGTJPnSl7K4mL/8JXfuZNcuF+TnleDrTdv+2tcyGuWNN3LxYobBxbl5JXiSJCdPJsmFCzl3LnHL3dwSPEmSp57Kiy9mNMrp00ks2s0rz2u9zXeq//KXMwz5/e9z65Y3rp5Xgiez30Vx8uTspnpvXD2/BM+9++dPnMh4nKtX8847iXe8mk9uvOGemzfz299m//4cP57l5Z0eDY+E4Hmf6YRv3W4eCZ77+P0z886rOPcZjXLmTF59Na+/vtND4ZEQPEnurclPJvn+9/PKK/nhD7d2MkcET5JkGLKxkV27snt3lpby2muzncwXwfNeJ0/ODuzffDMxyc8bwXPP5lvcPflk/vnP/PrXieDnjeC5Z2Eh43FeeCGHDyf33rh6+htmmReC555hyGiUxcV87nNJ8rvfzT5ljgie+0zz/upXk+TKlbz++mzaZ14InvtMl+Vffjm7d+fGjfz5z4l3qp8r7rTjQX72s7z4Yp55JgsLLs7NE8FDEYf0PMhk4oLcXFra6QHwoeQwfk6Z4aGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHI0k4PYK6MRhmGJO/5CB8ew2Qy2ekxtNj2k/ZywONnhn8IJpMMQ27cyCuv5BOfyIkTOX48zz+fo0ezvJzFxdnDthU+mWQ83vorBwU8Bmb4h2Aa/NpajhyZ7RmGLCxk164cOZLnn8/x4zl+PCdO5PDhLC/PtqX3vdiOxxmNZl8+3RassfBQmeEfmjfeeM+nw5CNjZw7l3Pn3rP/yJEcPZpjx3LsWI4ezZNP5oknsm9f9u3L8vL2wu/ezXi8Ff/mgQD8b8zwD8F0hv/Nb/KDH+Tatfztb7l2bftjlpayuJjxOBsb2//qwIEcPpynn87TT+fQoRw8uPVxZWX7g0ej2T+3ucH/n+Afpn//O9ev5/r1vP121tdz+XIuXszqalZXc/ny9gcvLWUYMhptnclveuKJ7N+f/fvzyU/m4ME880yOHp1te/Z80AA2n0wvBDyQ4B+tjY3cujXb3norZ8/m/PmcP59z53Lx4gNm+/9mZSW7d2dlJXv35lOfmi0KTJcG9+9/lN8A80XwD9NksrUlWVx88Ew7GmVjI7dvZ3V1dpJ/9mzOns3Vq7l9O3fu5Pbt2erdB5guCi4uZt++WfnT1cFnn82ePdm7Nx//+MP/BvmoE/yjtfnT3Tzx/gDjcS5cyF//OtsuXMj167lxI++8k5s3c+fO9sdPV/jef0awZ09+9KN8+9uzfxQ2WaV/tDZ7e2B4978cJFlYyHPP5bnn3vOYK1dm26VLefPNrK/n6tXZx20vAcOQXbsyDLl1K3v3PuRvhPlghv9wmZ4OjMdbJwXbLtRNJllfz9//nvX1rK/n2rWsrubSpVy6lNXV3L49e9jlyzlyxAzPdmb4D5dt99tsxj/9wzBkaSkHDuTAga0vmUzy7ruz7R//mF0RmK7kqZ1tzPAfMfevC04mWVjYunUX/k+C/8ibPoH3X4E3sfPfCB6K+M8ZUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUOQ/lyJH3UlhLrYAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "action": "('move', [1.1211129476531037, 1.8959342030754474, 56.39855728248551])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f63779960ab112f5a66f6eddc4877649cbd61a892d3e155fcfb1d22856630e4b"} +{"episode": 38622, "episode_seed": 1728296783, "split": "train", "timestamp": "2025-09-15T23:24:54.007188", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1728296783, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "action": "('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "action": "('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "action": "('move', [0.2947683587919642, 1.0213592148277209, 24.51502320780463])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a3f88e4c3fa2dce16d790761fedf3c62a916234580e944b205b52123545be098"} +{"episode": 38623, "episode_seed": 3825696947, "split": "train", "timestamp": "2025-09-15T23:24:54.650365", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3825696947, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "action": "('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "action": "('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "action": "('move', [0.061450434792068374, -3.6205442203071825, -12.645338803912523])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "579c0c7e87df5a12277e26fadd6362e79cdb89ef2042e0515c5d8411340575cc"} +{"episode": 38624, "episode_seed": 936033530, "split": "train", "timestamp": "2025-09-15T23:24:55.299442", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 936033530, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "action": "('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "action": "('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "action": "('move', [-6.215877274267915, -6.785625816203787, 28.41375901635223])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "23f3a27aec716f551ea8c099b3bfb3142b067c08ba87dbcfd98a58b6fc4b9bbd"} +{"episode": 38625, "episode_seed": 1645789501, "split": "train", "timestamp": "2025-09-15T23:24:55.935942", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1645789501, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "action": "('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "action": "('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "action": "('move', [2.7842560309488467, -0.14891891374604352, -2.5109681116502145])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7ElEQVR4nO3df6xf9V3H8fc553svrCOyusIQBunIXANLNMjWaKbLggvKmCMMpHMdyRYwhcrSKlvjNsA/5pgk2LIFFErBEQNxY4KEgF3MmJWilYwRFsTMzEk6F+KwDqKrcL/3nOMf91KQqBmksbf39Xjk/nX/On+c5/fz4/s559uM41hAhvZQXwDw/0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwECQl+HGscTzUFwGHWkrwTVNVNQwv+ZcPAPI043K/78dxsfOuq6rq++q6l6TfpnzkQSWM8MNQXVc33FCbN9ezz1bXVd+P1baLf/9t0IdlbpkHvzCe79pVV1xRn/tcnX9ePfaNvuua/qu76tc+WHv3Vtua25NjOU/ph6Gapp56qs45p77+9VqxovbvH044sdn68X+54Etn1+5vDD91WnvzjbV2bQ2DuT0JlvNdvjB4H3NMbdlSxx9f+/fXEUe03/vu+KHfXPU7z14xd8wJ7Tcf7d93bv3pXcZ5QiznEf6lnniiNmyo3bur62oYahzrV075h88/dcHqZx7ru9l267XNxkur6xZ382GZWs4j/AHjWKeeWjt31qWXVt/XOFbXjff+/VvOXPHgX/zY+V0zNz7++PD8XFVV39vGYxlLGeEX1vNNU9u31yc/Wfv21exkmJtvj1rRX3nyHVsePLte9+PD/NBO2qqqcTTUsyylBF+1OJPvunr44brkknr00eqacRib8ehad1Zd//ladUyNf/twTafNz7/DNh7LUlDw9cIB27atH/ygLrus7rijqsZJ9fPVnvrT7Rc+9eTbf+ttNdcOt97Wnn3W4jaeoZ5lJGsQa5rFszYrV9btt9e119bRRzfzNZmdaZ54rM5Yt+qWfz6n//7T7bnvnb9xx+IawJKeZSQr+AUHvoO7/PK688465ZSamzazM+N/jEdd3N7y0dmbn55//eTSX5//xFX1n89V21bfH+pLhoMja0r/MvPzNZnUt79dW7bU3XdX1441Dn3TvbPdfd24+bT+keED69tt19Zxx1nSszxEB18vNP/DH9bWrXXVVVVVMzWdNjMn1Xevnly5fnpbrX3b+Ac3NT9z2uKhfDicpY9ak0n1fb32tXXllXXPPfWGN9S0ZmZqfm+deNGw/ePdZ4Z9zzave00/NuP4wkY/HLbSR/gFB/bjv/Wt2rChdu2qSTsMXTvM11nveu6GW4980+rqq9qqpsr0nsOXG7eqXtyPX7Om7r+/Nm2qsWmH6TgzqT//2pHv/sW6b2d1+/aOX7hteG7ONh6HL8G/aGH3fsWKuu662rGjjj22mU5rZqa+853xvPPrM+v+sfnIh9sNHx6e/reFp+oP9fXCK2ZK/3ILb8hZOJC3aVPt2VOTSfXz41j9usnd2+Yv/olfeHN/65e7N7/J3J7Djvv15Zqmuq6m01q7tu69ty6+uObna6xmdmbyxf5Xz5zs+asHqzvzZ8e//ptB7Rxu3LL/s5mZ6vtataq2b69t2+qoo2puOh7R9Y/3p5zVPvSH//Se4Zff3X7x9n70MkwOJ4L/X3XdYsubN9c999Rb39o8P9/NtOP+8ciN7R9d9u9Xf/8DG7vrPzvtG+t5DheC/78c2L0/44zaubPOO6+mfdOM1Y3jje2m99eXH97dzUyqH5pxvq/RqXuWOpt2P5KFl2HOzdU119SnP13Tac1283Pj5Pg19XufqAsvrKoaqxoP0rO0Cf5H1ffVttU0dd99tXFj7d1bs20/N9TsbPMbl7efPfHWI9auGU5/RzNWU7JniRL8K3Dgcfonn6yLLqoHHqimqRrHsZp3tQ/csvK3T75503ju+hqrGX1jx1LkpnwFFpb041irV9dXvlKbN9fsbI3VzEzGvxzOeOe+P7l/3Z3N71/dDM/3TVuDnTyWHMG/Mgean0xq27basaPe+MaazjezM8P3mpPfN73zdz/2zHMf/Vi3/1/HtvPyDJYaU/pX6cCBvEceqU2b6qGHqmuGsWmGas4d/njre3avvuVT43En2cZjSTHCv0oLb8uaTuv00+uuu+qSS6of22Gomerv7i688P6z9//SBc3ffXP0kiyWEsG/ek2zeCDv2GPr+uvrpptqxWua6VBd039k5s+OnO4bTzipKT9QyxJiSn8QHHiIZs+eWr9+OP9D7TVrbqu3/9z4k28xm2dJEfxBs7Baf+aZGsdaubIG0yeWHsEfTC/u0B34pRtYSgR/kPn1CpayyaG+gOVG6ixllpkQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5L8AgZqFpJdGuywAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c543b89b24af3870eb7ef435db5a3557fc8543fd9c53492dcae9b31a2d07e2f4"} +{"episode": 38626, "episode_seed": 3584233771, "split": "train", "timestamp": "2025-09-15T23:24:56.934193", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3584233771, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "action": "('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH3ElEQVR4nO3du25c5R7G4dcexxAgWxaHkAgEOXCQUqCglJTUIERLRUHBRSDRcBd0iFwAIO6AG4AKBEkUmpwwEgQSJ+NZuxhvQMAWcuwwa/w+jyJrPEmsvyz9/C1/6xt7ZRiGAB1WFz0A8O8RPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPMtjGDIMix5iuQme5bGykpUVze+F4FkSw5CtrSRZWVn0KEtM8IzefEn/6ad88EHeeSdffLHogZaY4Bm92SxJrl/P+fP58MN89VUSF/b3RvAsic3N3LyZtbW8/PKiR1lia4seAP7JfDHf3My1a0nyxBOLHWepCZ4lce1aJpOcPJmHHlr0KEvMJT2jN5kkydWrmU7zn//kgQcWPdASs8IzevP7cK+/no2NPPVUHnnk9yfZpZXBbifUcEnPUpnfouNeCZ5lcOdOvv46V65ke3vRoyw3wTNu8yX9yy9z5kzeeCPffptE9vdM8Izb6mqSXL6cYciVKw7Y7ZHgWQYXLybJyZN5/PHEFv29EzyjNwy5cCHDkGPHsrGRCP7eCZ7Rm053Vvjjx7O+bqN+LwTP6G1v7+zVHT++864V/l4JntHb2sr332d1NceOJa7n90TwjNh8T/6773L7dtbWcvToogdaes7SM2Lzxfzo0bz3Xm7dyvPPJ/+7Ucc9cZaeJTEMLub3zhdLlsFs5sjNvhA8o/fLL1lddSW/L3wSGbH5qv7223nzzXzySeIU/V7ZtGOs5t+0//hjPvsst27llVeSZDbb+QE43BMrPGM1X94vXMjaWo4cyUsvJbbo98qnj7GaB3/xYm7ezOHDefrpxKmbvRI843bpUoYhR47kmWfcmds7wTNW8xfJzF82s7GRhx/ObCb4PRI843bpUlZX8+yz7sPvC8EzSsOQtbXMZrl8ObNZTp2ytu8Lt+UYpWHI6mp+/jlnz2Y2y9mziR27feAsPcvg7t0cOrToIQ4CwTNis1mm00wmDtvsF8FDEZt2jNJ0miTnz+fdd/Ppp4ue5uCwacf4/HbA5vPP8/HHuXEjr7226JkOCCs8ozSZ5Ndf88MPSfLcc4ue5uAQPOMzP2N3/XquXUuSU6cWO85BInjG6vr1XL2aJKdPJ3HSbl8InvGZt/3bCn/ixEKnOVAEz/jMg9/czHSaJ5/MkSOLHujgEDzjMz9mM39h7IkTWV9f9EAHh+AZmfkp+iTr63nssbzwQh58cNEzHRxO2jFWN27km2/y6KN58UUvm9kvgociLukZq2HI9rZfDr2/rPBQxAoPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRdYWPQAsq2HYn2fmT04mWb3/66/gYXeGIcOQlZWsrPz5r/76zNisDH/7BQf4J3fv5u7dTKe5c2fn8fzd3x7/8ck7d35/+6d/OQy5ciVvvZVz57K9ncnkPs5shYfdef/9fPRRkmxv76z2s9kuHvz18fp6trZy5kzOnctsJngYk83NXLiwnx9waytJZrP9/Jj/j+Bhd3b7TfBksrMhN387f/DHZw4fzu3b2dhI7v8ugOBhd159NdNp1tezupq1tZ16Dx3K2tru/sz/12SS9fVMpzl9Osn9vZ6PTTuoYoWH3fnjrlv+7gr/by/L//Ee3urqv3FXzwoPuza/D7+MHK2FXVvS2iN4qCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJf3CqmCslsTE8AAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKt0lEQVR4nO3dW4hVZR/H8d9ee822gxOaNs6Qlk6TglBoeBNFcxkISkhEKFReWASSmMVIoYYxmXggsO6y8iKFDjcaZRB0JR0k6EAXijlioDOj2UFtGl17rfdiLbcGvfQ6s1/XWvv3/dwpc/EgfH2e/az/ml1JkkQAPAR5LwDAtUPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPMojSZQkeS+i3Age5VGpqFKh+fEgeJREkmh0VJIqlbyXUmIEj8JLt/Q//lB/v1as0IEDeS+oxAgehRfHknTqlHbv1ptv6ocfJHGwHxuCR0mcOaNz5xSGmj8/76WUWJj3AoB/k27mZ85oeFiSbrkl3+WUGsGjJIaHVa1q1izdcEPeSykxjvQovGpVkoaGFEW66SZNmJD3gkqMHR6Flz6HW7xYkybp1ls1ceLlv8RVqiTcdgI2ONKjVNJHdBgrgkcZXLigQ4c0OKh6Pe+llBvBo9jSLf377zV3rh56SEeOSCL7MSN4FFsQSNLx40oSDQ4yYDdOBI8yGBiQpFmzNHWqxBX92BE8Ci9JdPSokkSdnZo0SSL4sSN4FF4UZTt8V5dqNS7qx4PgUXj1enZX19WV/ZEdfqwIHoU3Oqqff1YQqLNT4jw/LgSPAkvv5H/6SX/9pTBUR0feCyo9ZulRYOlm3tGhdes0MqI775QuPajDmDBLj5JIEg7z48d/liiDOGbkpikIHoV3/ryCgJN8U/CPiAJLd/Xly7VkifbulZiiHy8u7VBU6Yf2X3/VRx9pZET33SdJcZz9AhyMCTs8iird3o8eVRiqvV133y1xRT9e/POhqNLgBwZ07pyuv17Tp0tM3YwXwaPYjh1Tkqi9XbfdxpO58SN4FFX6kkz62sykSbrxRsUxwY8TwaPYjh1TEOj223kO3xQEj0JKEoWh4ljHjyuO1d3N3t4UPJZDISWJgkBnz2rePMWx5s2TuLFrAmbpUQYXL6qtLe9FtAKCR4HFsaJI1SrDNs1C8IARLu1QSFEkSbt36+mntW9f3qtpHVzaoXgaAzYff6x339Xp01q0KO81tQh2eBRStao//9Qvv0hST0/eq2kdBI/iSWfsTp3S8LAkdXfnu5xWQvAoqlOnNDQkSXfcIYlJu6YgeBRP2nZjh585M9fVtBSCR/GkwZ85oyjStGlqb897Qa2D4FE86ZhN+mLszJmq1fJeUOsgeBRMOkUvqVbTlCmaPVvXXZf3mloHk3YoqtOndfiwbr5Zc+bw2kyzEDxghCM9iipJVK/z5dDNxQ4PGGGHB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwMOX5hQwED1OViuLYLnuCh6M09SDIvs/KB8HDS/pddSdP6pln9OGHCgJVq7p4Me9lXSsEDyONA/yuXXr9dS1bpqee0uHDamtzOd7zZZIwkiSqVHTwoO6///KX0/b0aOVKrVr1t59pVezwsNPdrUcfVRQpjhWGOnJEq1ert1cHD0qtfpnHDg9Tn36qvj59950khaGiSG1tWr1aa9aoo0OS6nVVq/musfkIHo7Sc/vIiDZt0s6dOnFC1Wq2sc+Zo40btWSJwlAXLyoMW+qET/Aw1fis/vXX2rJFH3wgSbWaLlyQpKVLtXq1FiyQpDhW0CqffQkevpIkO8lHkd57Txs36tAhBYGCQFGk6dO1YoXWrlWtlv1wC2z1BA93UaQwlKQTJ/Taa9q2LbvMiyJJmj9fmzbpwQelS0/1Sp09wQNKEsVxdkX35Zd67jkdOCBdcZn32GPasEEzZkhX/AdRRgQPZBqH9iTR9u164w0NDCgIVKmoXldXl15+WY88ovZ2RVF28i8dggf+JkmyMftDh7R5s3btUhyrrS0bv120SGvWqLdXKudzO4IH/kHj3L53r155RV99pUole1A3ebKWL9cLL2jKFMWxKpUyfaoneOCfpa/ZBIGGhvTWW+rv1/nzly/z5s7Viy9q6VKpVJd5BA/8V+m8fbrV//ij+vq0f7/q9eyEH4ZavFibN6unR5KiSNVq0bMneOBfXPkE/p131N+vI0ckKQgUx5o4US+9pMcf19Sp2axekT/YEzzwP2mc2wcHtWmT3n5bZ89ensx74AH19WnhQqnYz+0IHrgKjZv5zz7Ttm3av1+SJkzQ6KhqNT3xhPr61N1d3E/1BA9cnTjORvF++0179mj9ep0+nf22rCRRT49WrdLKldkPF20gl+CBsWic248d07p12rMnu95LZ3J6e7V1q+65R5Lq9Wx6pwgIHhijK8/t+/Zp/Xp9+610aSC3VtPzz2vlSnV2SoWZ0iF4YFwa2Z87p1df1c6dGhxUGKpeV5Lorru0bp0efliVSiHerid4oAka78x/8YW2b8/erm8M5C5bpmefzU74+X6qJ3igORpv14+O6v33tWGDjh7NjvH1umbM0JNPau1ahWGezRM80EyNy7yTJ7Vli3bsyP4mHchdsECffKKpU3NbXglf8AMKLN3A41hdXdq+XZ9/rnvvzWqXNG2aJk/Oc3ns8MD/xZVv12/dqh079PvvOnhQs2dzpAdaVOP92W++0cmTWrgwG9EheKBlNT7Y5z54R/DAtZA+ls/9pRqCB4xwSw8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Q8jS94tjgcsWAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "action": "('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "action": "('move', [-36.81342339502176, 51.372036372730314, -33.00944129288252])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK7klEQVR4nO3dX2iV9QPH8c/znLOzdE2WpZuZyz+ZaFAThIgoGAQVaah4FUJYVBZ4Y3jRRZddBRVBFDW7iLR/EOVk1MUIXFI3kzSQtFKxwm3aGqa5rXOe53fxfdJfYjo39TznfN6vO+c58mX4Pt9n3+f7fBelaSoAHuJqDwDAtUPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGpHmipNqz2I2kbwqB1RpCii+akgeNSINNXYmCRFUbWHUsMIHrkXpvSTJ/XSS3rqKe3eXe0B1TCCR+4liSQdP67t29XVpe+/l8SF/eQQPGrE8LBOnVKxqOXLqz2UGlas9gCASwmT+fCwhoYkadas6g6nphE8asTQkAoFLVig6dOrPZQaxiU9cq9QkKTBQZXLmjFDjY3VHlANY4ZH7oX7cI8+qpYWzZ2r668/90VcpihltROwwSU9akq4RYfJInjUgvFxHTiggQFVKtUeSm0jeORbmNL37dOyZVq9Wj/9JInsJ43gkW9xLElHjypNNTDABrspInjUgsOHJWnBAt10k8QS/eQRPHIvTXXokNJUbW1qaZEIfvIIHrlXLmcz/Jw5KpVYqJ8KgkfuVSrZWt2cOdkfmeEni+CRe2Nj+uUXxbHa2iSu56eE4JFjYU3+5581OqpiUbNnV3tANY+99MixMJnPnq0XX9SZM1q8WPrnRh0mhb30qBFpysX81PFhiVqQJGy5uSIIHrl3+rTimCv5K4JvInIszOobNmjtWu3YIbGLfqpYtENehR/a//hDO3fqzBnde68kJUl2AA4mhRkeeRWm90OHVCyquVl33imxRD9VfPuQVyH4w4d16pSmTdMtt0jsupkqgke+HTmiNFVzs9rbuTM3dQSPvAoPyYTHZlpa1NSkJCH4KSJ45NuRI4pj3Xor9+GvCIJHLqWpikUliY4eVZJo4ULm9iuC23LIpTRVHOvPP9XRoSRRR4c0oRW7SiX7rMAFsZceteDvv9XQcPGXJImSJEud1b3/wiU9cixJND6uSuWStYcLgmJR33yjjz6i9v/EDI+aF+bz/n698oq++kqjo9q/X21tzPMXwAyPXCqXJWn7dj37rLq7L/7asL9+zx5t365jxzQyojffPPd1/D+CR/6cnZp7evTWW3rvvYu/PI6VpnroIa1YkW293bZNJ04ojjnw8nwEj1wqFPTXX/r9d0m67baLvzaOVS5r3jytXq04VhTp0CFt3UrwF0DwyJ+Q6fHjGhqSpIULL/mOcM9+wwa1t2eHZXz8sYaGVCjQ/L8QPPLq+HENDkrSokWSLr7TLoqUJLr5Zq1bJ0mFgvbt02efKYrYofcvBI/8CY2eneHnz5/Im8Ikv3mzWlqUpiqX9f77/CR/PoJH/oTgh4dVLqu1Vc3NE3xfFKm1VU88oSRRQ4P6+tTXdxWHWYsIHvkTzrQJD8bOn69S6bLevWlT9mSdpNde09hYtowPETxyJ2yak1Qq6cYbdfvtuu66Cb413Mtrb9eTT2bb83bt0u7d1H4OO+2QVydO6OBBzZypJUsmvmMuSRTH2rNHnZ06fVpJos5O9fZe1YHWEoJHXQn/nctlbdyod9/Njrfu7dX992efBebsvwHIrTRVpXK5K+xRlF3Mr1+v6dOz5fqXX87+PRA88iqKVChMYlIOm23uu0+PPJJt0v36a/X1qVBgdz3Bo+6ETTjFotavV1OTokgjI+rqYoaXCB51qVhUpaIHH9Tdd2c/uvf0qL9fhUL2GJ4tgkfdamzU009nd/FPnNC2bZLc78mzSo+6Fdb7VqzQd99JUmurenu1bJkqFd9fV8UMj7oVRYpjbdmiNFWhoIEBffKJ+805ZnjUufFx3XWXDhxQFGnOHH37rebOlVx/aZXxZx0MpKlKJb3wQjbJ//abPvxQUWRau5jhUd/CffjBQXV26ocfssfpDhyY+AN49YYZHvUsbLybNUsbN2aT/LFj2rpVkulD8gSP+hfHWrlSS5eqXFYU6Y03NDZW7TFVCcGjzoUjLhcuzE6/iiIdOaK3386+7obgUefCEl2a6vHHNW+ekkTlsrZt08iI4yYcgkf9C4/TLFqkVaskKY61d6927HCc5AkeFsITNZs2aeZMpalGR/XBBzp5Mjv60gfBw0LYXbdkiVatyn6f9Jdfateu7IPAB8HDRdhss2WLSiWlqdJU77yj0VEVi0Y/yRM8XITg77hDa9dmz8/s3Kn+/moP69oieBgJE/vmzVn8SaLXX5ec9tUTPLxEkTo6tGaNKhUVi/r0U+3dK9mceEfwMHL2iMtnnsmW8dyOuCR4eAmbcO65RytXZjttP/9c+/dLHrvrCR5ewmab5mY99pimTVMU6dQpvfqqy647goedcMTlww9rxYpsVu/p0cGDFudYEzzshM02M2Zo/XqVSooiDQyoq0v6Zxm/jnEABhyFsCsVLV+u/fuVplq8WN3dWrKkzo+4ZIaHo7B019Cg557LDsb48Ud1d1d7WFcfMzxMhdOvTp/WsmX69VcVi2pv1xdfaNGi7K/qEjM8TIVJvqlJzz+vJNH4uAYHNTws1fU9eWZ4+Ar/9wcGtGaNHnhA69Zp6VI1NlZ7WFcTwcNdmmpkRDfcUO1xXBMED2Tqe30+IHignlfpzsOiHeBSuwgesELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPI/6c219TPSQmgAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHnUlEQVR4nO3dz3ITVxrG4a8lTRIcpzLG1JSJCzABZoplriO7XFTuI/eQe0lNsJ1gDAFMUoNx/hhbOlm0mFlOjaUatXifZ9XW6itX/Xy6j9rdXWutgAyjVQ8A/P8IHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIInjXT2qonWGeCZ8103aonWGeTVQ8A/8VsVqNRff99ffNN7e3Vgwf1xRf16aerHms9CZ6h64P/7rv6+uv5J99+W19+Wa1Z7f9ngmfo+qpfvKiua5NJ11o9fLjqmdaWa3gGrbUajaqqjo6qtW46rWsfzj77rMrF/JUInqHrunr7to6Oqqpms9q7NfvgL6ueaW0JnjVwdlY/Pp4f3384Ho1XOs06Ezxr4Nez9vhw1h/fu+dU/uoEz6D1t9n89mv76WmbTKqqPv98tROtN8GzBl79Mrpo4/G4qur+/Sr3212V4Bm0fov+8LDqXeS3bq1ynnUneNbAwUFV1cVFXb9en3yy6mnWmeAZutb+s8Lv7dVHH616oHUmeIbu4qIOH03747292thY7TjrTfAM3XTaHj2a9ffV3bkzX+HdZnc1gme4+l2609Pu5JdJ/53c3bvVdbbor07wDN3hYbXWL+jt9q1WVbPpaidaY4Jn6Pb3q6qm0xqNptvXW1WV8/mrEjxDt39QVTWb1c7O+K9bWl+I4Bm6w/35XfS7u93W9a7s2C1A8AxXvzm3/8/5JfvNm7W1VSX4BQie4erDPn4+fy7T7m5tbNRstsqR1p3gGaj+kXXHx/X7H/MF/ebNqqrp1Ap/dYJnoPrz+cPDens+/6QPnkUInoHqT91/fFzn51VVGxu1s1PlAn4xgmfQfjhoFxetqm7cEPwSCJ6B6k/pf9i/7A+2tgS/BIJn0I6eTfob67a3a2fHyycWJXiGqLWaTOr8vP71et73je02mdTlpeAXIniG6N/fyZ2+nn+wu3NZHmW3MMEzRP0W/fFxnZ5WVY1G3e2743r3iDuuzO+PIepX8qfH7fR1q6qNjbq9Nyo7dgsTPEPUB//k8fT8bauqjz+uO7erBL8wb49luJ7+NH+n1LVrtbe30lHeF1Z4Bqffom+tTl51/Xdym5u1ve0u+iUQPEM0GtXpab14Mf+xfz+0L+EXJ3gGp9+iPzmply/nn/Svl1L74gTPQJ2c1PPnraq6bv4CScEvTvAMTr9Ff/Ji+vPPs6oaj+vevRWP9N6wS8/g9MG/fDWqqvG4Ju+Ct8IvzgrP4PSvhX72rKvqWqvxpN29u+qZ3heCZ1haq9GoLi/ryZOqqtms/rY93dysssIvg+AZorOzOjqaH//9H0JfGsEzLP0F/Js39eRo/p9x9x6MVznQ+0XwDNGb09nR4/kbY23RL5HgGaI3Z91vf3QffFhdJ/hlEjzD0q/qBwdda6O359XaPHiPvlgK38MzLH3wu7v11Vd1fFzPntWNG6ue6T3SNX85GZ7W6vKyLi7q8rI2Nz3oZmkED0H85WTQrEfLJXgGzd11yyV4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPInpIw5Im0FhqoAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3b72613e2b7108e56a1c244c0eaf9844d7c4cb49a91ee0c13655fb71c4cd30b8"} +{"episode": 38627, "episode_seed": 392401111, "split": "train", "timestamp": "2025-09-15T23:24:57.591064", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 392401111, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "action": "('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "action": "('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "action": "('move', [-3.5450580877782887, -0.08087214570572088, -32.737878111191904])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "835f6dd2cbbc96fc1551383df51f2f1e2fe29536526b6124cacf3c16b1796311"} +{"episode": 38628, "episode_seed": 782295026, "split": "train", "timestamp": "2025-09-15T23:24:58.233209", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 782295026, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "action": "('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "action": "('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "action": "('move', [1.829607159521031, 0.12811870773472914, 27.780228829190037])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "72f2ee5fece5fdf6e1f11e1495a7205e51d829dc9b76a46ef5bf40c4a2e6467c"} +{"episode": 38629, "episode_seed": 3920213785, "split": "train", "timestamp": "2025-09-15T23:24:59.240707", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3920213785, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "action": "('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "action": "('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "action": "('move', [1.9038148483187751, -62.96375187860332, 42.255107174446])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1243a4516517c3b0b35f293765fc49f92b3bf61d3d76bc20877330272083468a"} +{"episode": 38630, "episode_seed": 1797888543, "split": "train", "timestamp": "2025-09-15T23:24:59.884119", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1797888543, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "action": "('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "action": "('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "action": "('move', [2.6931859020757183, -0.07209842279646805, -18.860880592446687])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "19b08b8f0ac132abbac1b5dc6915a1b9f8aa66ea1d5427d07dfcc3e127be89a8"} +{"episode": 38631, "episode_seed": 1310346790, "split": "train", "timestamp": "2025-09-15T23:25:00.532026", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1310346790, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "action": "('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "action": "('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "action": "('move', [-151.32744610259604, 2.277058731920419, -19.873048510452936])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2cbd6bed758bb88029c8fc1d4478dffe722e73cae69517788772a549b3f841d4"} +{"episode": 38632, "episode_seed": 1329039593, "split": "train", "timestamp": "2025-09-15T23:25:01.187861", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1329039593, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "action": "('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOUlEQVR4nO3dwYtdZ+HG8efeO20mNTHaNE3bLISKCkVQmoCKWLPpThBX/gGiUHDRLERFKqlCFayiYBF00S7cGBTqQheioBtdiiCupAhNi53URNOYtpnMvS7O7cSfPxTSTCZ3zvP5kMXMQM5cGL7nPed933vuZLFYBOgwvdUvANg9gocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigud/Wixu9StgJwme/24+z2Ryq18EO0nwI7RYLP/dqOk0r76azc0deE2sBsGP0GSy/PcmDaeKzc18/et573vzxz8myXy+Uy+PW2iycJM2Lpub+etfc+lSNjZy331517syn2d6XSf24T8891w+8pG8+GI+/vGcOZO1tRs7i7ASjPDjMYzBZ8/mox/NAw/k5Mn84AdJcvXqdR5oOs18nvvvz+nT2bcvP/1pfvjD6zxnsKL8FcdjGH3f9rasr2c2y2yWf/7zBg63tZVPfjIPP5wkjz2W55/foYkBbiXBj8p8nkOHsm9ftraytZW//z1JJpPr73Q6zWKRt741p0/nyJG8+GK++MXlD9nLBD8ek0m2tjKdZn19+ZNLl5Jkbe1NHW5tLVev5vjxPPJIkpw5k5/8JNPp9d8hsEIEP0KHDy+/uHgxly69qRF+sLaWxSJf+lJOnMjmZr785WxsZG3NjP3eJfhRGW7jjxxZfnvpUi5evOGD3n57vvnNHDuWD34wW1s3fDhupTd3tcdKu/vu5RevvJKLF3PffTdwrOEU8tBDefbZnDiRJFtbFuf2LiP8qAwl3nXXchFtCD43viN+sciJE9naymKR2cwS3d7lLzcq25f0s1myg8EP84HDxptnn83TT+/EQbkFXNKP0N13ZzbL5uYO3cMP5vPcdlueeiqnTmV9PR/+cN797iwWLu/3FiP8CG2P8IvFDo3wSWazLBb50Idy9GheeSWnTmVz0xzeniP4Ufn3S/rh63/8Y4cOPZ1maysPPpjPfz6zWX75yzzzTNbWNL+3CH5UhsiPHl2Ox8m1zXY7YDbL1lY+85mcPJkrV/LEE/nzn5cnAvYIwY/NYpH9+7N///LbCxeS7NCm2Mkk0+lyWf7AgfzlL/nGN5Y/NIG3Rwh+nO66a/nFhQvZ3Ny5dbRh19773pcvfCFJnnkmZ84k3i2/Zwh+nI4eXX5x/nxee22nj75Y5LOfzfHjuXIlv/lNXn/dIL9XWJYbp+3Ndhcu5PLlHDy4cytowyB/6FCefDK/+EVOn87tty/ftcPKE/w4bW+nv3Ahr76600cfzhwnT+bkySSZz5fLgKw8Z+Vx2h7hz5+/CcEP5vNsbmaxyHSal17K5cuJ7XerTvDjNAQ/mVwb4Xe+xOl0+aC77343x4/n299OYoluxQl+nO65J0lms7z++nLovSmGs8ivfpUXXsj3vpc//MFWnBUn+HEa7uG33zN3sww3808+mXvuydmzefzxXL7s0XerTPDjtL0sl+Rvf0t2arPdfxhm7N/5zjz2WJL87Gf58Y+Xz8lhJQl+nA4cyG23LbfDvPxykpu2ajY0/6lP5eGHc+VKHn88L7ywfNA1q0fw4zSb5fDh5d30EPxNtFhk37589as5dCjPPZevfc2y/MryVxmb4dJ9bS1HjiyvrDc2bvI82vD+mQ98II8+miRPPZXf/S6xRLeKbLwZp7W1a0vxL7+czc3l++du1uMqhgv7Rx7Jb3+b9fXlIgGrR/DjNJtde//MEPz2w+pvimEv/dGjefrpHDuWvLEgbwfeihH8OA2X9INz53blE5+HQf7YseWVvNRXknv4cZpMrm22O3dut/bCTCbLyfnJJD//eU6dWj5hy4z9yjDCj9Bwrz6M8GtrOX9+V0b4wfBk29//Pp/4RK5cyTvekUcfNXu3Oozwo7U9wm8/ynI3DLOCDzyQj30sSb71rfzpT5nNDPIrQvAjNAyow6TdEOC5c7v76/ftyxNP5N578/zz+cpXkpu374fr488wWm95S/LGZPnGRnKTdtf+f8OnVrznPfnc55LkRz/K97+fWJZfCYIfrfX17N//f4LfPcPs3ac/nYceSt74wGofWbECTNqN1v79OXw4Z88mux/8sJf+wIF85zuZz/Pgg7v76/mvBD9a+/blzjuXwb/00q7/+mErzvvfv+u/mP/FJf0IDdfO6+u5887lT25B8Nuvw637KhH8aA2X9INdnaX/D27dV4ngR2t9/Vrwu30Pz6oS/AgNm22m07z97ctvz51zZU0i+LEaNrYNI/xkktde27mPkWUvE/w4DeP59gg/ny9v443z5QQ/TkPYBw8myXye+dxtPIngx2qYGj94cPmgGyM8A8GP03bwd9yRJFev3qKleFbMZOGcP0bDW+I3NvLrX+eOO3Lvvbn//uUtPc0ED0XspR+57fO5DW9E8KOnc/6dSTsoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8i9SKyPny9ypjgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "action": "('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "action": "('move', [12.883444586995212, 2.532905056872218, 13.669754094722085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI8UlEQVR4nO3dXahlZR3H8f9aa5/RjKKmLmrKCjVTCgmj14nGgWa0DEKTzKtiboI063STZU32AkUp0mUZWF1XkGRSpGhkFo2aEL6hlZJeGE6+5DTNOWs9XWwNijGd8djZx9/nc3tuHtjnu//PXs9ea3ettQIy9Ou9AOD/R/AQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPA8qdaqtfVeBGtK8BzcNFVr1XXrvQ7WlOA5iHGsvq++r3E0559TBM9/a62GoR55pM47r775zfVeDWtqtt4LYLHMt/FXXlkXXVR79tRRR01bt3ZvfWs3TdWbDhuf15CDeOyx2rOnjjyy9u3rL/h0+8e+VmVj/1wgeP7D/CrdGWfUB89q+/e3pVlde13/7cuM9+eIrnnf5j/Nd++339beta3t3du3Vi94/rjnpuHYY6vKdfuNzfs2/63va5rqhBO7z1zQj2Prunr40eFTn2r1xFkdG5fgOZhW41i7drVT3tXGsS0t1VVX1fcuH4ehVlfXe208A7b0HNw41jDUtdfWB86shx6uaaoTXtd+cmV3zDE1TTUM670+DosJz8ENQ62s1Cmn1Ec+PE5T27Spbr+jLv7GNB8QxsQGZcLzpOZn8o88Wm97y3T7HX1VDUNdcUW95z3lWH6D8qLxpLquWqsXvqAuvriff/1udbUuvLAefvjxP7HhCJ7/ZR72e0+vXbtqdbVms7r55rrkEodzG5UtPU9h/g9y7721fXv96U81DLW0VNdfXyef7Ha6jceE5yl0XU1TvfrVtXt3dX3rh9q/vz5x3jiO1RzLbzSC56nNmz/77Drj/bVyoIZZXX/DcOmlrR9qHNd7cRwKW3qelvkH+N/f1N69o/3toa6qe9nLpqt/USec2M9P7NkQTHieltmsxrHeeHK3vNy11lVX99/fffGibt++KsfyG4cJz9PVWo1j/fOftX3b9Lsb+02bquvbdy+vD33I3fIbhuA5BPPL8r++vm3b1lr141jHHTNe98v+5Vu6ciPdRuBtmUMwP5Z/x9Zuebmb31Rz1x+Hr36tk/pGYcJzaOZDfu/etvXt0+13DsNQ41jXXFPbt6/3yngaTHgOzXzIb97cfe0bwxFHPL6NX16uRx91t/wGIHgOxzjWaafWOefU6motLdUtt7Svf3WcP9aaRWZLz+GYX5a/8846/fS6++6qqs0vbj++orZu7eYn9iwmE57D0fe1slLHH1/Ln5xaa7NZPbi3vvylduDA40/IYjEJnsM0m1Vr9bFz+507amWlhqH72c/rsm81d84uMlt6Dl9r1VX94dZ6+1umffv7rqtXvLJdfXV33LFupFtQJjyHr+uqVb3h9XXhhTVNrevq3ntq9+cmQ2RhmfA8I/Ofmtz3WO08td1wQ7e0VKsr9YMf1plnGvKLSPA8U/Mr9tddO+08taapXx3rNUePN/1+eNGLqnzfdsHY0vNMze+W33ZKf/75/epqzYb6873DZz9bXedYfuGY8KyBcayuq/v+0k47rW69rZvN6sgj60c/qh07yrH8QjHhWQPDUNNUR7+q+/zu7nnPq9bq73+vi75QDzzQ5vOfBSF41sb8hyvOOqve974ax1raVL/5bfvOZY8/DMc+ckHY0rNm5pfl77mn3vzm6cEH+6nVC48ar7muf9ObPCFjUXgRWDP/fr7tV77ST1NbmtUjjw27d9eBA+u9Mp4geNbS/BBu1662893TykrNZvXTn9b3L5/63q5+IdjSs8bmG/ubb64dO+uhv1Vr9dKXtD03dkcf7as468+EZ+2NY510Un3ivGkcp9msHvhrt7xc5dLdAhA8a6zrqutqGOrcj/fvfGc3/wB/xx11333unF1/gmft9X2trtbmzXXBBd2WLfXRj9avflVbtlRrrtWvM5/heRa1VnfdVa997XqvgycInmedQ/jF4XXg2aX2hWLCQxDvvRBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkX4AnL3zaSOrLAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "209dd1bcba26d7e23f63dc9b34e87c7f28c51f4d7ed6d321b20ae55c62a5dfc3"} +{"episode": 38633, "episode_seed": 3545006159, "split": "train", "timestamp": "2025-09-15T23:25:02.231492", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3545006159, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "action": "('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "action": "('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "action": "('move', [0.8786621956347407, -190.7752217636482, 49.63605493960042])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4e9e3bd3efae4c9568fd278f293c1b1f674286e424069478b572d492572cb4b0"} +{"episode": 38634, "episode_seed": 4238527528, "split": "train", "timestamp": "2025-09-15T23:25:02.880109", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4238527528, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "action": "('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "action": "('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPklEQVR4nO3dXWwVZQLG8WfmnFIlimGVQDR0i1hKlSbChSAuiSHaNVK0lGSNYlIgYRPUmHBhYrLx1kjMqhijMdlE0rgXJmVJpCsgWENhbbWm1YT6gUpRCuvWQhMgkrTnzOzFjC3lSwxfznn+v7vOOZ1zbv5933fmPadBHMcC4CG82m8AwJVD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF44IJFkeL4ar+Ji0LwwIWJIoWhgiDTzRM8sieONTKiKLqCr1csKgzV06NjxxQEV+qFLz2CR/YEgcrKFIYqFFQoXOYRN6k9l9O2bbrvPq1apYGBy/l6lxfBI0uStn/8Ua+/rh9+UD6vfF5BkC6uL335yRnzeTU367HHdPSoPvxQP/889lDWEDyyJJlNv/uunnxS99+vpUu1YYP6+tLF9ehc+5JdXEtO+tJLWrtWQ0OqqtLWraqsVBxndGIfxNn8QwVbUaTFi7VrV/pjGGryZM2erYYGLV2qykqVl489uVA4/W/Bb5BU/corWrdOku66S2+9pdtvT6/eZRPBI2OOH9e8eerrU7F4lkfnzVNjo+rqVFGhqVPTg1GULsMvtNM4VhQpCBSG+vJL1dVp1iw1N+uWW9ITZRbBI2PiWH192rZNu3dr71719qaz9zBML+Ml5s7VAw9owQLNmaNbb00PJo8mzzynMwfwvj5de62mTcv02J4geGTYgQPq6NDHH+ujj9TVlR4sK5OkkZH0x9pazZ+v+fO1aJGqq9ODxWI6zz99qp8kvW+fNm7UM89o8uSxIT2z6/ZTETyyJ4rSm/D5fHrk0CF99ZU6O9Xaqs7O9GAul87NE1VVmjVL996r+nrNnj3uhEkEgWIFgXp7tWKFPv9cK1fq1Vd13XVjW26yj+CRYcniPAzHltVDQ+rv144d2rRJXV1j4/yoINCUKZoxQ/X1amxUdfXo78ZSUPxPZ/D4iuDA/uCaa7R+vZ544tcWABlD8Mi85A58HI+7mhZF6u9Xa6s2b1ZvrwYHzxJ/LqeaGi1bpvoHoxl/jKZ0btFf/6LBQjz5D4W/bwhXPR4WoyBXOrWL4FFi0sn5+Nn3oUN67z198IG++EJff63h4fQ5uVxyGS+Wgprpx+v/+49FhX/XTDt528a/6c8PSlGxGEbRb7m8/7tH8ChZZ478hw+rvV0dHerqUkdHejDZqzc6/s+eOfynJRPmz4kX3B3MmZMeTG4BlsBCnuBR+pLt8HGcXsCXdPiwenvV1RW//34wuocnp0IgFZSXilJu5kzV1Oiee7RkiWprTz+hzphHZALBw0gUqRgpkPL5KNlXPnRUBw+pva34r3+e3NMzcaSQRDwu5WnTVFGhujo1Nmru3Kvxvi8dgoefQiHK56N93+UGB4KFd0uS4pFh/W8g2L5dLS3q7tbQ0Fku8pWXa8YMPfSQHn5Y1dWaNGlsypAVBA8zhYLyeX3/vZqatGtXvGlz3NAQBuM21Rw5otZWbd2q3l7t359+Ok5SLje2n3f6dL38spYvz9juu/yvPwUoGcWi8nl99plWr1ZPj8Iw6PsuCKU4rT25yHfjjWpqUlOTjhxRW5t271Z3tz75JB3zczlNmKCDB3XyZPorGcIIDxvJWNzWpjVrtH+/Jk7U+vV66qkzL8El+/OiaGzGPjCgnh51d6utTe3tGh5WRYV27lRVVcZGeIKHh2Qn/Dvv6OmnNTCgm27Sa6/pkUfSnXrnuOCeZH/q5f1kJ9/OncrltHatysoytsWe4GEgCffNN/XsszpxQtOna+NGLV58/trPPMGpu2yz1fko1vAoacnsPAw1OKiWFp04oTvu0Ntv6847T9+Le16jqSeL/OzuwGGER+kaHYWTj7ju3asXXtBzz6m6OqsD9EUjeJSoZGAfGlI+r+uvH1e4a+3iSyxRmpLF+cCAHn1UDQ3pl8kXi+kOW9faRfAoQYWCcjl9842WL9f27WprU0uLpPQ76oxrF8Gj1CQb6T79VI2N2rNH5eV6/nmtXCmVxIfdLhpreJSQZLq+Y4dWr1Z/v264QS++qDVrrvbb+h3hthxKxejWmuSfRkydqjfe0LJlF36z3QEjPEpCcuPt22+1cKF++kmVlWpu1qJF6Xqe2n/BGh4lIQwVRbr5Zq1bp9pabdmS1p58nQ1+wQiPknPsmCZNytiHWq4Ugkcp8r7Zfh78CUQpovZzIHjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4z8HzA8nV0VI8gWAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "action": "('move', [0.6043106190050732, -1.0363671369115117, 59.52677558690332])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3a02de3a1c2ecc7d822512f3eec9bf70ea3831d4b736539bc02fc0f12359b9ff"} +{"episode": 38635, "episode_seed": 1435837371, "split": "train", "timestamp": "2025-09-15T23:25:03.528505", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1435837371, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "action": "('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "action": "('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "action": "('move', [0.2334809010714036, 2.6867773327781097, 28.309266594032295])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3dXa9U1QHG8WfPHMCKXihQbWLLizatLQea8HJsL/x6fho/g3eViqCBGPFQiS8YRCHBiMTImdm92NNik162PWQ/v9/VzL5aF+c/a60ze68ZxnEM0GGx3wMA/n8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEP0PjmHHc70HwVBL8rEydD0OGQfP8B4KflWFIkgcPcvv25jX83NZ+D4D/jvU6i0WuXMnbb+fy5dy5k0uX8txz+z0snjKCn4nVKotF3nlnfOutIcmhQ7l6NW++ufkggIm/hZmYFvDnz+fIkSyX2dvL+++PiZ08/0bwMzFN4ydPDq+8ktUqq9V4+dIqyXq9zwPjqSL4mRiGrNc5fjzHj28u3Li5Na3zTfL8i+BnYhiyt5ckv311lYxJ7t/P7m6WS8HzhODnY9rGb28PBw4kybff5tq1MVb1/Izg52Paxp8+szh6dEjy44/jtQ/XETw/I/j5WCyyXufMmRw5Ml0Ybv59kVjV84Tg52MYslrlwIGc/M3etI3/7PPhzh3B84TgZ2Xaxl98YzkMQ5Jbt/Lpp4lv4/knwc/Kcpkk584Phw5lGHL//iZ423gmgp+VzQx/MQcPbt7u7ibxbTwbgp+bccyRIzlxYvNU/Ecf5eHDzcwPgp+hccwbb2xeX78+3v16cxEEP0PDkJ2dDEOWW7l1a33363UETxLBz9XOTsZxXC6SLD+5uUg8JEsi+PmZzrn59SvjsRfXjx8nyZUrWa0cekUi+BkakuTQM8POnxdT4e9fHh890jqJ4Ofq0KGcvzAMQ7a2cvXK+vvv93tAPB0EP0PTxH7+fMZxXCzyeLX85BMnWpIIfpam4E8cX//imfX0kPy77yZxji2Cn6Mp7CNHF6dPL6ebat97b39HxNNC8LN19Gi2zyTJMOTyZbfTkwh+lqbnZLe2sr2dJItF7t3LzZuJ22/qCX6eprBfey2LxXSIbS797cl1agl+nqZt/PHjOXEiSVarvHdpNY4W9u0EP09T8KdO5dVXpwvj1SubH5mkmeDnabHI3l4OH86pU2MyJsOdu8t797JcmuSrCX621uuMY17/3abv777LBx8ktvHdBD9bi0WGIX/cXr744pDkwYPxw6tr2/hygp+t6XnY7TN56aXNlevXR3v4coKfrWkb/9Iv86uX19M2/rMvlo8eZWvLqr6X4OdsOtbu9B/G6aHZ27dz8+bmZyfpJPg5m7bxF3aW0yG2X36Z3V2/NldN8HM27djPXcizzybJ3l52d23iqwl+zqbj6F//fV54YXPlxo3Nbfa28Z0EP3NT2GfPbt7euJE7XzvfrpfgZ25a1e/sbF5//PHqzldj3H7TSvAVpuC3tvLDD4vPv9jv0bB/BD9z0wx/9mwObq3X6wzDcO36kPjxqVKCr/D88/nT2XG1yjjm6pU8fJhY1VcSfIUDB3LxL8tsjrtaObW6luBbXLyQYciBg/nmm+Gbuyb3UoKfv+m+uu3tjOO49zjJ4q/vDnFqdaWt/R4A/3NT2MeO5eTJ4d69nDuXl1/e7zGxT4bRv246/PRTvvoqx47l8GFzey/BQxF7+CI+2xF8ESt5BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gFcTXUR3xwqIwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3dXa9U1QHG8WfPHMCKXihQbWLLizatLQea8HJsL/x6fho/g3eViqCBGPFQiS8YRCHBiMTImdm92NNik162PWQ/v9/VzL5aF+c/a60ze68ZxnEM0GGx3wMA/n8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEP0PjmHHc70HwVBL8rEydD0OGQfP8B4KflWFIkgcPcvv25jX83NZ+D4D/jvU6i0WuXMnbb+fy5dy5k0uX8txz+z0snjKCn4nVKotF3nlnfOutIcmhQ7l6NW++ufkggIm/hZmYFvDnz+fIkSyX2dvL+++PiZ08/0bwMzFN4ydPDq+8ktUqq9V4+dIqyXq9zwPjqSL4mRiGrNc5fjzHj28u3Li5Na3zTfL8i+BnYhiyt5ckv311lYxJ7t/P7m6WS8HzhODnY9rGb28PBw4kybff5tq1MVb1/Izg52Paxp8+szh6dEjy44/jtQ/XETw/I/j5WCyyXufMmRw5Ml0Ybv59kVjV84Tg52MYslrlwIGc/M3etI3/7PPhzh3B84TgZ2Xaxl98YzkMQ5Jbt/Lpp4lv4/knwc/Kcpkk584Phw5lGHL//iZ423gmgp+VzQx/MQcPbt7u7ibxbTwbgp+bccyRIzlxYvNU/Ecf5eHDzcwPgp+hccwbb2xeX78+3v16cxEEP0PDkJ2dDEOWW7l1a33363UETxLBz9XOTsZxXC6SLD+5uUg8JEsi+PmZzrn59SvjsRfXjx8nyZUrWa0cekUi+BkakuTQM8POnxdT4e9fHh890jqJ4Ofq0KGcvzAMQ7a2cvXK+vvv93tAPB0EP0PTxH7+fMZxXCzyeLX85BMnWpIIfpam4E8cX//imfX0kPy77yZxji2Cn6Mp7CNHF6dPL6ebat97b39HxNNC8LN19Gi2zyTJMOTyZbfTkwh+lqbnZLe2sr2dJItF7t3LzZuJ22/qCX6eprBfey2LxXSIbS797cl1agl+nqZt/PHjOXEiSVarvHdpNY4W9u0EP09T8KdO5dVXpwvj1SubH5mkmeDnabHI3l4OH86pU2MyJsOdu8t797JcmuSrCX621uuMY17/3abv777LBx8ktvHdBD9bi0WGIX/cXr744pDkwYPxw6tr2/hygp+t6XnY7TN56aXNlevXR3v4coKfrWkb/9Iv86uX19M2/rMvlo8eZWvLqr6X4OdsOtbu9B/G6aHZ27dz8+bmZyfpJPg5m7bxF3aW0yG2X36Z3V2/NldN8HM27djPXcizzybJ3l52d23iqwl+zqbj6F//fV54YXPlxo3Nbfa28Z0EP3NT2GfPbt7euJE7XzvfrpfgZ25a1e/sbF5//PHqzldj3H7TSvAVpuC3tvLDD4vPv9jv0bB/BD9z0wx/9mwObq3X6wzDcO36kPjxqVKCr/D88/nT2XG1yjjm6pU8fJhY1VcSfIUDB3LxL8tsjrtaObW6luBbXLyQYciBg/nmm+Gbuyb3UoKfv+m+uu3tjOO49zjJ4q/vDnFqdaWt/R4A/3NT2MeO5eTJ4d69nDuXl1/e7zGxT4bRv246/PRTvvoqx47l8GFzey/BQxF7+CI+2xF8ESt5BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gFcTXUR3xwqIwAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3dXa9U1QHG8WfPHMCKXihQbWLLizatLQea8HJsL/x6fho/g3eViqCBGPFQiS8YRCHBiMTImdm92NNik162PWQ/v9/VzL5aF+c/a60ze68ZxnEM0GGx3wMA/n8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEP0PjmHHc70HwVBL8rEydD0OGQfP8B4KflWFIkgcPcvv25jX83NZ+D4D/jvU6i0WuXMnbb+fy5dy5k0uX8txz+z0snjKCn4nVKotF3nlnfOutIcmhQ7l6NW++ufkggIm/hZmYFvDnz+fIkSyX2dvL+++PiZ08/0bwMzFN4ydPDq+8ktUqq9V4+dIqyXq9zwPjqSL4mRiGrNc5fjzHj28u3Li5Na3zTfL8i+BnYhiyt5ckv311lYxJ7t/P7m6WS8HzhODnY9rGb28PBw4kybff5tq1MVb1/Izg52Paxp8+szh6dEjy44/jtQ/XETw/I/j5WCyyXufMmRw5Ml0Ybv59kVjV84Tg52MYslrlwIGc/M3etI3/7PPhzh3B84TgZ2Xaxl98YzkMQ5Jbt/Lpp4lv4/knwc/Kcpkk584Phw5lGHL//iZ423gmgp+VzQx/MQcPbt7u7ibxbTwbgp+bccyRIzlxYvNU/Ecf5eHDzcwPgp+hccwbb2xeX78+3v16cxEEP0PDkJ2dDEOWW7l1a33363UETxLBz9XOTsZxXC6SLD+5uUg8JEsi+PmZzrn59SvjsRfXjx8nyZUrWa0cekUi+BkakuTQM8POnxdT4e9fHh890jqJ4Ofq0KGcvzAMQ7a2cvXK+vvv93tAPB0EP0PTxH7+fMZxXCzyeLX85BMnWpIIfpam4E8cX//imfX0kPy77yZxji2Cn6Mp7CNHF6dPL6ebat97b39HxNNC8LN19Gi2zyTJMOTyZbfTkwh+lqbnZLe2sr2dJItF7t3LzZuJ22/qCX6eprBfey2LxXSIbS797cl1agl+nqZt/PHjOXEiSVarvHdpNY4W9u0EP09T8KdO5dVXpwvj1SubH5mkmeDnabHI3l4OH86pU2MyJsOdu8t797JcmuSrCX621uuMY17/3abv777LBx8ktvHdBD9bi0WGIX/cXr744pDkwYPxw6tr2/hygp+t6XnY7TN56aXNlevXR3v4coKfrWkb/9Iv86uX19M2/rMvlo8eZWvLqr6X4OdsOtbu9B/G6aHZ27dz8+bmZyfpJPg5m7bxF3aW0yG2X36Z3V2/NldN8HM27djPXcizzybJ3l52d23iqwl+zqbj6F//fV54YXPlxo3Nbfa28Z0EP3NT2GfPbt7euJE7XzvfrpfgZ25a1e/sbF5//PHqzldj3H7TSvAVpuC3tvLDD4vPv9jv0bB/BD9z0wx/9mwObq3X6wzDcO36kPjxqVKCr/D88/nT2XG1yjjm6pU8fJhY1VcSfIUDB3LxL8tsjrtaObW6luBbXLyQYciBg/nmm+Gbuyb3UoKfv+m+uu3tjOO49zjJ4q/vDnFqdaWt/R4A/3NT2MeO5eTJ4d69nDuXl1/e7zGxT4bRv246/PRTvvoqx47l8GFzey/BQxF7+CI+2xF8ESt5BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gFcTXUR3xwqIwAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH20lEQVR4nO3dXa9U1QHG8WfPHMCKXihQbWLLizatLQea8HJsL/x6fho/g3eViqCBGPFQiS8YRCHBiMTImdm92NNik162PWQ/v9/VzL5aF+c/a60ze68ZxnEM0GGx3wMA/n8ED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEP0PjmHHc70HwVBL8rEydD0OGQfP8B4KflWFIkgcPcvv25jX83NZ+D4D/jvU6i0WuXMnbb+fy5dy5k0uX8txz+z0snjKCn4nVKotF3nlnfOutIcmhQ7l6NW++ufkggIm/hZmYFvDnz+fIkSyX2dvL+++PiZ08/0bwMzFN4ydPDq+8ktUqq9V4+dIqyXq9zwPjqSL4mRiGrNc5fjzHj28u3Li5Na3zTfL8i+BnYhiyt5ckv311lYxJ7t/P7m6WS8HzhODnY9rGb28PBw4kybff5tq1MVb1/Izg52Paxp8+szh6dEjy44/jtQ/XETw/I/j5WCyyXufMmRw5Ml0Ybv59kVjV84Tg52MYslrlwIGc/M3etI3/7PPhzh3B84TgZ2Xaxl98YzkMQ5Jbt/Lpp4lv4/knwc/Kcpkk584Phw5lGHL//iZ423gmgp+VzQx/MQcPbt7u7ibxbTwbgp+bccyRIzlxYvNU/Ecf5eHDzcwPgp+hccwbb2xeX78+3v16cxEEP0PDkJ2dDEOWW7l1a33363UETxLBz9XOTsZxXC6SLD+5uUg8JEsi+PmZzrn59SvjsRfXjx8nyZUrWa0cekUi+BkakuTQM8POnxdT4e9fHh890jqJ4Ofq0KGcvzAMQ7a2cvXK+vvv93tAPB0EP0PTxH7+fMZxXCzyeLX85BMnWpIIfpam4E8cX//imfX0kPy77yZxji2Cn6Mp7CNHF6dPL6ebat97b39HxNNC8LN19Gi2zyTJMOTyZbfTkwh+lqbnZLe2sr2dJItF7t3LzZuJ22/qCX6eprBfey2LxXSIbS797cl1agl+nqZt/PHjOXEiSVarvHdpNY4W9u0EP09T8KdO5dVXpwvj1SubH5mkmeDnabHI3l4OH86pU2MyJsOdu8t797JcmuSrCX621uuMY17/3abv777LBx8ktvHdBD9bi0WGIX/cXr744pDkwYPxw6tr2/hygp+t6XnY7TN56aXNlevXR3v4coKfrWkb/9Iv86uX19M2/rMvlo8eZWvLqr6X4OdsOtbu9B/G6aHZ27dz8+bmZyfpJPg5m7bxF3aW0yG2X36Z3V2/NldN8HM27djPXcizzybJ3l52d23iqwl+zqbj6F//fV54YXPlxo3Nbfa28Z0EP3NT2GfPbt7euJE7XzvfrpfgZ25a1e/sbF5//PHqzldj3H7TSvAVpuC3tvLDD4vPv9jv0bB/BD9z0wx/9mwObq3X6wzDcO36kPjxqVKCr/D88/nT2XG1yjjm6pU8fJhY1VcSfIUDB3LxL8tsjrtaObW6luBbXLyQYciBg/nmm+Gbuyb3UoKfv+m+uu3tjOO49zjJ4q/vDnFqdaWt/R4A/3NT2MeO5eTJ4d69nDuXl1/e7zGxT4bRv246/PRTvvoqx47l8GFzey/BQxF7+CI+2xF8ESt5BA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gFcTXUR3xwqIwAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ff6f69c5dc27197ebc650f9bed6ee4089ff4fc3f011f9d86b5ace85767af92b4"} +{"episode": 38636, "episode_seed": 175496599, "split": "train", "timestamp": "2025-09-15T23:25:04.558684", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 175496599, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "action": "('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKTElEQVR4nO3dS6ic5R3H8d/MnGMiCUrM8ZZoUqG2bgJZmKW6URSEShVF7aotKHZhK7aE4M52IYILQYLiXoyQhS4UXbjpQqSGrkIXgpdUcpI2npiYS82ZSxfve3Ko9dKqyUze/+dDFjOTLJ7AfHme932emelNJpMANfSnPQDg/BE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KdtMslkMu1BUIXgp2o0Sq+XXk/znB+Cn57l5QwG+fTTLC2l15v2aChB8FMyGmV+Pvv357778tBDOXZs2gOiBMFPyWCQPXvy85/n7bezd2/efTeJhT3nmuDPrybp06fz+OP55S/z/vvZsCHPP58dOzIeW9hzrvUmZpXzYzxOVlbyv/tdnn02SW68Mbt3Z8eO6Q6NOgR/XoxGGQxWH/ztb7nnnrb29evbad/0zrkn+HNvOMzcXI4cyWef5cc/znicfj/vv5/rr0+SyUTqnDeCP8eaKf3dd/OHPyTJ3r1ZWMhkkn6/LR/OI2+4c6a5aB8M8uKLufvu/PnP7Z9eL+Ox2pkK77lzo5nDjx7Nww/nN7/JwYO56qq88kpuvz3jcQYDtTMVc9MeQEf1evnLX/LII9m3L0luuSXPP58bbpj2sKjOPPNDa1byL7+cW2/Nvn1Zuza//33efDM33OBcDVNnhv/hNKk3Vff7OX48W7fmmWdyzz2ZTFy0Mwvcpf8hfOXW2ksvZdu2bNuW0Sj9vr03ZoHgv5/m0+zN1P2nP+WTT7J7d9t/82KzCQ+zwXvxexiPM5lkMMjiYh57LHv2JMnNN+fBBzMctp9yVzuzxFXldzUaJclgkLfeym23tbXfdVe2b0/SruFdtDNjLOm/k2bRPhzmqafy1FM5eTLr1mXXruzalX7faVlmluD/f03P+/fniSfy6qtJsm1bnn46d9zR3qg3sTOrvDX/H81Fe+Ovf21rf/DBvP567rijvW5XOzPMDP8/O3u/vZnhz5zJQw/lpz/Nzp3p91c/AAszTPD/g+bYzGCQffty6FDuvPPLV+ku2rlAWH9+m+abpwaD7N2bn/0s996bN95Ir5fRaPUr5dXOBULw36g5D3v6dHbuzAMP5ODBXHRRTp9u/7b5Snm4cFjSf5v9+/Poo3n77STZsSO7d+fGG63huUA5B/Y1JpP861957bX89rc5fDhzc/nVr/L007n00sQanguV4L9KM4G//nruvz9Jrr46f/xjfv3r1b+CC5Ml/Vdpqj58OHfemcEgzz2XHTukTgcI/ht98EHWrMnmzT70RjcI/uudndIdqqEruhl8s0H+A+yaORtPt3Qt+LOH4oD/1rXgG5NJlpbS72fDhmkPBWZJd25ENWv4Eyfywgt5770cOpSbbsqTT7q5Dqu6FvzycvbuzTvvJCvfSQOc1Z3bUc00vmFDtm/P/Hzm5nLw4LTHBDOmU8E3U/rCQpaXMxxmaSmnTlnPw6ruBJ+VTbQrr0ySfj/Ly/nooyTp4n1J+C46FXzj8svbH2gdDnPgQCJ4WNGp4JsDMgsLueSSJFleFjz8h04F31hYyMJCkoxGlvTwHzoVfHN/7oorctll7SsffzzF4cDM6Vrwk0k2bszGje0rf/97YoaHFZ0KPslwmPn51RO1x45lOHS0HlqdCr6Z4bOyM5fk5MkcPpx+v92xg+I6FXxWLuM3b26fnjyZTz5JrOohSVeD37Qpa9cmyYkT7QFbwUO6GvzmzVm/PklOnRI8rOpa8I3Nm7NuXZKMx5b0sKprwTeH7a65pp3hkxw6lPgieUjSveB7vQyHWbu2neGTLC1lMslgYJKHzgWfldX7pk3t008/zdGj6fcFD10Mvlm9/+hH7dOlpfzzn9MbDcySzga/ZUt7PX/kSI4cSdy3g04G39i6tf2pmKNH2+AdtoMOBt9M7Fu2ZH6+vYdnSQ+NDgbfODvDJ/nHPxI7c9DJ4JuwL788F1/cXrcvLiaxMwddDD4r9+e2bm2fLi76+lpIuhp847rr2gcHD+bzz6c6FJgNXQ7+7Fb84mKOH0/szFFe94Pv9bK42M7wgqe47gc/N5cvvsixY1MeDMyCLgffXMM39+p8Zg7S7eA3bsyaNe0Bu+YXKfpd/u/Ct+tmAc1MftFFufbaDIdJcuCAo7XQ0eAb8/OrW/EHDuSLLxL37ait48Fv2dI+Phs8VNbl4AeDdobv9/PxxzlzZtoDgmnrbPDN0v3sztyxYzlxYqoDghnQ8eCvvXb1lebra6GyzgbfaH5Gtrk//+GHia14aut48OvW5cor2505Px0NHQ9+/fpcc037uJnhobLOBt8s3detW/2+6o8+mt5oYDZ0NvjG+vW5+ur28QcfTHUoMAM6G3yvl/E4/X7709H9fpaWcvLktIcFU9XZ4JOMRkmyaVMGg/T7WV5u79s5XUtZXQ6+uYy/9NKMRhkOMx63n5mDsua+/Z9csJrgf/KT/OIX2bgx112X66+f9phgqnoTC1woo8szfGMyyfJyer30ehkMnLSjNDM8FNLlm3bAlwgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkH8DTV1tsZgwZyIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "action": "('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "action": "('move', [5.28634948269355, 5.894203191055137, -30.195968002764214])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKm0lEQVR4nO3dW2xVVQLG8W+fy1CtF5Q+lBougxguYwMRiBcyoZN4qSFC2hqiNSaaQUCixkSNmUx840UTEnwBjCRInAgFcTBkOhUZjTYzCTAFjVTNMDEYQXFSrmnKpWfvNQ97A5EpgpO0pz3f/xceymkfdprz71p777XXiUIIAuAhV+4DADB0CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBB8uYWgEMp9EHBB8GUVx4oiRRHNY2gQfPn09yuf19GjOnZMUVTuo4EFgi+TOFaxqO5uLVqkJUt08mS5DwgWCL5M8nm1tampSR99pK1btWuXJCb2GGwEP7TSpE+f1gsv6MkndeCAbrpJa9dqzhwlCRN7DLYoMKoMjSSRzs/kn39er78uSbNna/VqzZlT3kODD4IfEnGsfP7iF199pZaWrPbrrsuGfYZ3DD6CH3ylkgoF9fToxAlNnqwkUS6nAwd0222SFAKpY8gQ/CBLh/Rdu/TSS5K0datqahSCcrmsfGAI8YYbNOlJez6vN99Uc7M6O7N/UaQkoXaUBe+5wZGO4cePa+lSLV+u779Xba02b9YDDyhJlM9TO8qiUO4DqFBRpD179PTT6uqSpHnztHatpk4t92HBHePMLxCC+vuzqfplpd/etEn33quuLlVV6cUX9cEHmjqVdTUoO0b4XyCKVCxKUhwrl/ufi+tp6mnVuZxOndKECVq5Ui0tCoGTdgwHXKW/Kum9s2PHtGaNFi7U7bcP9O1LvPOO6utVX3+ZPw9AGRD8VUmL3r5dCxaopkZ33aVVq3TrrQohROn1OUkrVujQIa1enf10+mJ6Ex4YHphkXpUoUhxr9WpJ6ulRe7tCkEKiOFEupx9+0COP6JVX9MYb2rRJ+bySJJvGUzuGE4K/KiFo/351dGT9LlumCePiEEmFvHbs0H33qa1NkhYu1MyZkrI5PCftGGZ4R15ZOkNftSr7+ppr1NISiqPy4VwSrVih5mZ1d6u6WitW6L33NH26LkzygWGGCecVpJc4Dh1Se7skxbF+Ny/ceWcUurujP/xR29+XpPp6vfaaGhtZQodhjrfmFaS7zq1fr56e9EJ7aGpSdbXi3fuitPbWVrW3q7FRpRLTeAxzXKX/Oenvpq9Pc+fq888lacZstW/T2LEK587lli3RlCl6+WXlchcfgAWGMab0P6dUUrGoLVv09ddSTvnkdGP9ybpbavtLKlb9Sm+9lf1cCNSOEYH552WlFff1ads2nT2bRAWNyR9f3LEotP85X5Di+OKW8iyqwQhB8JeVLpDbvVsff6xcLgqxGuKdk091hrOF7LeWbikPjBxM6QcWgvIFJdL7W/tPnSrmi1G+v++533QmG/6hWXczh8cIxUW7gSVBuTO9/96497dLf/2faFyIdff4w3/vqtLNY8p9aMD/jyn9QEKIIoW/bP/r7/90pDQuH5dCoudevUU3j1HC30eMYIzwAwlSpN6DPbMm9RyIpkYhTJgY7dunG29ky0mMbJzDDyBICvrb/pp/hZpiQf390fLluv56aseIx5R+AOnV95WvhpySOFZtrR58ULkcO9ZgxGOEv1T6iU+7dmnPPyPloiRRU5OmTWN4RyVghL9UGvaaNTpzJns2rqkpWztL8BjpCP4n0kfdvvlGO3cqihSCGho0d262tTQw0hH8T6TD+IYNOnJEkkaN0oIFuvZahndUCM7hL0o3pPrxR3V0ZDvQTpyo1lY2qkLlYIS/KL1c9+GH2rs3m8C3tOiGG7hch8rByJUJQYWC+vr07rvZThajR2vpUrarQkXhvZxJ77Hv26eOjqzwhx7S+PESD7+ighB8JpdTqaS2Np09m62xefZZVtqg0rCWXjp/7/2771Rfr95exbEaGrRjR/bBUkDFYISXzk/aN27UyZPZfP6ZZ1QoXOlzI4GRhuAz585pzZpsYj9jhu65h1N3VCCCz4bxzZv17beSFIIefVRjx2Z36YBKQvCSlCRaty77MLi6Os2fn71I8Kgw7sGnO1V2dqqrK8t7/nxNm8Y286hM1sFf2GZ6/Xr19ioEjR6t5mbl86yuQ2WyDj5dJP/FF/rkkyzvmTN1//0M76hY1sGnw/v27Tp4MPtUuCeeyFbdMLyjIvkGnw7vR45oy5bsv5Mm6eGHs0X1QEXyDT716af67LNsAv/446quZjktKplp8OkzcH19evvtbGeb6motXsyzcahwvu/uEPTll2pvz5bQPvaY6uo4dUeFMw0+3Yh67VoliUJQsajFiyUxn0eFMw0+BB0+rI0bs8XzjY2aPr3cxwQMPsfg0zWz69apry97pbVV1dWspUXlsws+vcd+9KjWrZOkJNEdd6ihocxHBQwNu+DTs/eqKj31lOrqJKm5WbW1KpW4Po/KZ73jzYkTam/XrFmaMiX7CAqgslkHD7hxH9QuPDAHOHBfNc5leVhxH+EBKwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0b+C0sYpgp8ClvRAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIqElEQVR4nO3dTYxdZR3H8f85d24rARaaIJoSDaYpCw3RDmBioIilpAuDBZOmRBbEFxRN0NTS1LgTDKlaEJAWaBA0JDRtQKQs5CV9YYdKQkPARjayAyQkiAmEufccF3csYiry0s50+vt8VrOYxc3kfO/zn+c899ym7/sCMrTz/QKAuSN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCL4+dT3h/8ZjhLBz5vxuJqmquq+++qee6ppNM9RNzXfLyDUaFRTU/XP12rLlv4n1zZNU8uW1TnnzPfL4njX9JaVOTce12BQzz7b/2hT/+Duatu2aWrJknriiTr11KqaXfnhiDPSz6nJu+tgUDt39GvWNA/ubobDtutqPO5Xr67BYL5fH8c7I/0c6fvq+2rbmhnVjzeNf3Vr+/obtWjYvDlTJ5/Y3XBj8/VvVOvtl6PMSD8Xuq6qqm3r4MH67vf6vXuqbZu2rdGoP/vsum1bs3y6qqrvDfMcXdaUo248rrattq0dO+r882vvnmY4bLququ++c2W3Z2+zfLq6Tu3MBcEfXTMzNRjUK6/Uhg39ZZfVSy/VcFgzM3XaaXXbttp2++CkE2dHfbUzB4z0R0vfV99VO6g//bHbuLHZt78Gg6aqxuNaubI2b67p6dntepgzVvijouuqaaod1F13dmvW9Pv2N4sXN+Nxjce1fn3t3FnT0zUaqZ25ZoU/wg7txr/2j7rmmv7OXzejUQ0X1cybdepHu5tvadeurSprO/ND8EfSZGFvmnryz/23v9U9+dSgbSdb9P0XV4y33zm1dOnsr7kDx7xw3R0xk934vq877qiVX+qffKodDqvr6oQP1TUb6pHHppYunT14o3bmixX+yJgs2i++WJs21d13V9VkN75f+ql+88+aS7/aTP7MtuKZX4L/oA7dP3/88br66v7AgWZqUOOu+r4u/nL38180y85oJou/2pl3hssPZPJPe1XdsKW7+OI6cKAZDms0rr6v666re3e0y85oJrvxaudYYIV/n/q+uq4Gg3rhhVr//dG9OwdVzeRQzemn19attXp1lf05jjEuxvdjcjZ+MKhHH+0vvLC7d+dgOGyatmZm+ksv7fftrdWr37o/B8cO1+N7Nlm0u76u/2m35iv1zDPtcNjMzNQJi7vN19euXc0nPvnW/Tk4phjp35tJ7c8/X+t/0N//QF9NOzWo0ag+8+n+lzfWylWNhZ1jmQvz3Tr0EdeHHqpVq+r+B2rRsK2+RqPu8q91f3i4WbmqGY1mfweOTa7Nd2U0qrat11+va6+tSy6p556rxYuaN2fq5JO6G7fUb37bLlky+5g6YzzHMiP9/3FoN/65v/Y/3NDs3t03TTMY1GhUn/ts3XRTf94Kh2pYMKzw72Sy9zYY1O/u7y66qNu9u6ammr6v0aiuuKIefqTOW9HYn2MBEfz/NNmfe+ON2rSpX7eu/9vzg0WLajSqj3y437q17rqrTjll9vw8LBRG+sM4dFr24F/6q67q9+1v20E1VeNx//mzulu2Dc4+a/ZrJNTOwuKCPYxJ7bt29SvOHe/b3w6H1Y2rqq78Zv/YnnZS++QxdbCwuGbfZnIX/eWXa+PGWru2+fsrU5MPvX38Y9327XX79vakk5u+dzaehcpI/zaTHbinn64LLqhXX62mqdGozv3C+Kab2+XTjQfLstBZ4d9m8gSLM8+sW2+t8bhGo1q/vv/97nb5dDMaqZ0FzzfP/LfJQ6nWrauDB2vp0rr88qb+/d2PsNAZ6Q/vP6d3H3HluCH4d+IIHccZc+o7kTrHGaMqBBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkXT+77bF3Xe54AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "68e8f3b8e6f7199699ae4c57435cfb5ea71c2540e0ac8265f0fa9013f08e1e90"} +{"episode": 38637, "episode_seed": 802784078, "split": "train", "timestamp": "2025-09-15T23:25:05.205074", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 802784078, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "action": "('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "action": "('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "action": "('move', [-1.716303534694906, -7.0058010186119875, -20.958682370468892])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "314991b53286b4e48e4c3c9c186bfc242e8b10de4c8d0bb2da56cfcde1464337"} +{"episode": 38638, "episode_seed": 1268296297, "split": "train", "timestamp": "2025-09-15T23:25:05.847732", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1268296297, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "action": "('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "action": "('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJUUlEQVR4nO3cz4vcZwHH8c/MbJM0LBqaoKXUYJQkSGtSqCVpYq8ieNCLBb2I4MGrBw9CzwVPPXiQ9iD4A6tQ6L/gISHWFtPWksTQCsUmJQfLghpIdmbHw6yZpAYt2J3Zzef1Yshhdmb2WTbveZ7v9/vMDqbTaYAOw2UPAFgcwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUORlWUPoMl0mvX1JBmNMhotezQ0Gkyn02WPAVgQS/qFmL2rXr2ap5/OV7+an/1s2QOilOAX6IEHsrGRa9fyxBPJv98FYIEs6ZdkPE6SFedQWCjBL8PGRobDJJlOMxgsezQUsaRfhuEwv/tdXn45g4GFPYtkhl+s8TgrK/npT/PMM7n//rz+evbvT2KeZzHM8Is1C/vzn8+NG7l2Lc8/n8Fg83getp7gF2s0ymSSr3wlX/taxuP8+te5ciUrK5lMlj0yKgh+4Wan6370o+zenQsX8qtfOZJnYQS/cLNV/WOP5ZvfTJJf/CJ//WtWVrKxsdxx0UDwyzCdZjrND36QPXty4UJefjmJeZ4FEPwyDAYZDHL8eL797SR57rlcuSJ4FkDwSzKZZDTK976Xhx/O009n377ExTm2nOvwS3XzZiaT3H9/kozHGY00z5YS/DZggy2LYkm/bLPa19fz0ku5dm3zHtgagl+qWe1ra/n61/Od7+SFF5LYeMfWEfxSDQaZTLK6miTXr+fFF3P1qmvybB3BL9twmJWVPPts9u7NxYv5+c8zGAieLSL4Zbu18e4b30iSX/5yc+Od3fVsAcFvA7ONdz/8YfbsycWLeemlxDV5toTgt4HZxrtjx/Ktb2UwyAsv5P33Mxxa2POxE/z2MPujV9//fnbvzqVL+e1vk39/rg4+Pv5LbQ+zjfRf+lK++90cPJjPfnbZA+LeZKfdtjG7Jv/BB9m1K6urtt+xFQS/LamdreHvom8zs/dftbM1BL/NSJ2t5KQdFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8/6/pNBsbyx4EH83KsgfATjWdbt5GowwGyx4NH40Znv/tVtvT6fzOwSDDYUaj/P3vOXcu//zn5iPZzszw3N2twmdh325jI2treeWVnDuXM2fy9tuZTPKb3+SppzYfz7YleOZmR+OzA/L77punOx5nbS0ffJC33sqZMzl7Nm+8kZs375jPz5zJU09lY+PD7w5sK4JvN4t89u+uXRmNMholyY0bee+9vPde/vznvPZaXnklb745f9bsYePx/J4LFzZfje1M8KVmy/WNjXnhSW7ezMWLuXQpFy7Mb7esrGQ4zM2bSTKZJMmBAzl6NF/4Qg4fzunTm49hOxtMvScXuPVL/s8D7PE4f/xjXn0158/nnXfy7rt59935ZbbZabnxeP4K+/fniSfy+OM5diyHDuXgwXz60wv5Gfg4CP7e9F9OuSW5fj2vvppz53L2bC5fztpa/va3zUn7rh58ME8+mVOncuJEHn44DzyQT35y/tXJJJPJHSsFti3B3ztuHY3nzqX1dJp//CNra3nrrZw9m7Nnc/58rl/P+vrdX2fXrqyuZv/+nDyZU6fy5S/nc5/L7t0f7nk8zmAwv7EjCH5nu/2U2+3n1SeTXL2a99/P22/nD3/I73+f116bz+Gzaf/2KX11NQ8+mIceyqOP5uTJnDyZw4fv/u1mqwaF71CCv3dMp7l8efP2pz/lzTfz+uvzY+/ZKbf19fk9n/hEjhzJkSM5ejTHjuX48Rw6dMer3bqoLu97huB3ths3culSzp/PG2/k8uX85S955535Wn04zMpKxuP5SbjV1Tz+eB57LF/8Yg4fzqFD+cxn5q82mWxeSB8ORX5vEvxONTtP9uMf5yc/ydra5s7WmeHwjk+z7Nu3uUo/cSIHD+ZTn8qBA/OvbmxkPJ5HrvN7m8umO9XsEvp99+XKlTsqHY2yZ0/27cuJEzl9OqdP58iR7N2b3bvvePrtp9x27Vrw2Fkawe9Us8iPH8/evVlfz0MP5cCBPPJITp3KyZM5fvwuT5lN+7Mn2iHTyZJ+p5odbF+7lhdfzL59efLJHD16xwM+9Mk2iODvJbPPvcwuuSmcuxL8zjadbh6NO+XGRyF4KOKzy1BE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkX/BTIqEqJxlfAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "action": "('move', [-2.2365387258330154, 4.13841393837451, 51.70881581038699])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "60a45432f5cba8c0a165e3bbe394e00c139adef90eac43e424c348b9b498249a"} +{"episode": 38639, "episode_seed": 2132396924, "split": "train", "timestamp": "2025-09-15T23:25:06.502045", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2132396924, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "action": "('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJZUlEQVR4nO3aT2jcaeHH8c+kSbvi0m3WpNm2+6dolcWDi7qF1r15ETx49uhJ8CAsXtyLNy+CeBJEbx4E7+JZUFhwRZC1Cy0UoWm7aZNdk221mzbJjIeZX9I/2aU//7RpPq8XD8Mwk+/MN4f3PM/3mRmMRqMAHaYe9wkAj47goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocj04z6BB4xGO/cHg8d3HrAP7b3gH4x8OJw8rn/4zwxGd8+oj93GRn72s6ys5Otfz+c+l6efzqFDu/zZaCR++DfsmeDHDb/3Xj7zmdy4kSTPPpuzZ/Paazl9Os8/n2PHcvjwTuebmxmNMjWVqSnxw0PaY8GvruY738nf/paLF7O6uvPs/Hxefz1vvJGpqSQZDid3xgdubk6yn7IHCR9nz1zDj2fp2dn8+tdZWsqFCzl/PufO5S9/yblzWVnJxsak59EoP/lJzp/PmTN55ZV88YuZmXm85w5Pij0zw4+NRtnayvRdH0NLS1layjvv5LXX8ulPJ8nly/nqV3PxYpIcO5YTJ/Lyyzl7Nl/5Sl55Zfc9v/GDVv7U22PBjw2HGQ4zGt0/dY+X/cvL+elP89vf5sKF/POfO88+/XS+8Y386leTwre2MhjkwIH7X3Z82Q+V9mTw20ajydj1+vzatbz5Zn7/+/zxj7lyJUtLeeON/PCH2djIzEy++91cu5avfS1f+lIWFvLss/nEJ3Z5/Zj5KbK3g394i4t58818+cs5dSpJ/vGPvPTSzrbfyy/n9Om8+mpOncrnP5+TJ3cOHA6ztWXPjxJPcvDb83+ys3Tf3u3/5S/zpz/l3Lm8/fY9R3372/n5z7O5mQMHcvNmDh/eeWq7fNin9swu/b/h7t/e3Xd9Pjub11/PxkYuXcqVKzl/Pm+9lbfeyjvv5JOfTP7vc+EHP8jbb+cLX8iZMzl79p6ZH/ajJ3mG/xgP7vbfuZPV1Vy/ntnZvPBCkmxs5Lnn8ve/J8lgkPn5HD+e738/3/xmtrbu2e2D/eJJnuE/xmCQ6el79vwOHszCQhYWdv5mNMqPfpTf/S5//nOWlydjff3xnTT8z+3TGf5B2//mrpfof/1r/vCHnD+f730vJ0/6rT77VU3wuxqNJl/a25+nQ3fw27Z/6jM9bW5nHxM8FLGUhSKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyLTj/sE4JEaje6/PxhkMHhcp/OoCZ79aRzz9u34ztRUpu5a1N7X+WiUra1sbubOnayvZ3Y2MzOP7HwfEcHzxBv3fPdIMj2dqandp+7bt3PrVj78MB9+mFu3cu1aFhdz+XKuXMniYq5ezYUL+exn85vf5NSpDIf3fEY86QTPk+TBtgeDSdsPWl/P2lo++CBra1ldzdparl/P1at5991cvZqlpbz7bm7evP+o8Srg1q2srk7ecT8RPHvUfWvyJIPB7pP2cJhr17K8PBnXr2d5Oe+/n5WVrKzkvfeysjKp9z6DQQ4ezGCQ4TCbm5N3GQ4zHGZxMYuLOX1a8PBIjMO+L+/xFL09rlzJ8nJu3MgHH+TGjdy8mRs3srm5+6sdOJAkW1s7DY9GuXNncn9+PidOTMbzz+f48Zw5k2Ry1L4xGO2zTzCeZKPRZIJdXc2lS7l8eXJ1vbiYS5fy/vtZX8/t27l9O+vru4f9Ucarg6mpHDmSF1/Miy/mhRcmty+9lLm5PPXUZBw6lOn9Ow/u3/+MJ8rmZqan8+Mf5xe/yNpa1tYyHO7swD2kmZlJsYcO5amnMjeXkycnSW/nfeTI/Xv1uxoO9+fXdYJnTxgOk+Ty5Vy8OPkybGrqI+fwmZkcPnzPOHZsZ0E+HnNzD/W+u36gjJcD+5Lg2UOOH0+SjY2dR+bmMjeX+fnJ7ac+laNHs7CQhYXMz2dhIUeP7v5S4wVC7t0LeHDG3n9z+McTPHvCeG/s1VfzrW/luedy4kSOHs3sbI4cyTPPZHY2zzyTgwd3OXA0mmywj1fg22O/TtH/IZt27CGbmxkOdw87ydZWtrZ25uq7Bw9J8OxF21+ebff8UWty/l8Ez95y94U3/3Wu4dlbpP4/ZWcDiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwLb3NGxSxpGgoAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "action": "('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHrElEQVR4nO3azYuV5QPG8Wte7FUEBTF7ISkJaZH0ImjuIghatPYvCFoE0iY3LYI2bVoF0bJF0D/QOjAQMoowhREkqIQxDScswxrnPL/FTDOpk0k/6ozn+nw4i/PyPId7OHzPfT/3nKlhGAJ0mB73AID/juChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyOy4B3CDYVi7PzU1vnHABNp4wd8Y+Wi08rz+4f8zNfx5Rh27xcW8914uXMiLL+axx7J5c+68c53DhkH88A9smOCXG/7xxzz6aC5dSpJt23LgQA4ezL59efDB7NyZLVvWOr96NcOQ6elMT4sfbtEGC35hIa+8km++yZkzWVhYe3X79hw+nCNHMj2dJKPRyp3lE69eXcl+2h4k3MyGuYZfnqW3bs1HH2V+PqdPZ24uJ0/mq69y8mQuXMji4krPw5B33sncXPbvz969efLJbNo03rHD7WLDzPDLhiFLS5n909fQ/Hzm53PqVA4ezCOPJMn33+e553LmTJLs3JkHHsiePTlwIM8+m71719/zW37Syp96Gyz4ZaNRRqMMw/VT9/Ky//z5vPtuPv44p0/n8uW1Vzdvzksv5cMPVwpfWsrUVGZmrn/b5ct+qLQhg181DCu3da/Pz53LsWM5ejSffZazZzM/nyNH8tZbWVzMpk159dWcO5cXXshTT2XHjmzblrvvXuf9Y+anyMYO/tZ9912OHcvTT2f37iT55Zc8/PDatt+ePdm3L888k9278/jj2bVr7cTRKEtL9vwocTsHvzr/J2tL99Xd/g8+yOef5+TJnDhxzVkvv5z338/Vq5mZyc8/Z8uWtZdWy4cJtWF26f+BP//27rrr861bc/hwFhfz7bc5ezZzczl+PMeP59Sp3Htv8sf3whtv5MSJPPFE9u/PgQPXzPwwiW7nGf4mbtzt//33LCzkhx+ydWseeihJFhdz3325eDFJpqayfXvuvz+vv55Dh7K0dM1uH0yK23mGv4mpqczOXrPnd8cd2bEjO3asHTMMefvtfPJJvvgi58+v3K5cGd+g4V83oTP8jVb/zHUv0b/+Op9+mrm5vPZadu3yW30mVU3w6xqGlX/a25+nQ3fwq1Z/6jM7a25nggkeiljKQhHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5HZcQ+Af90wjHsEf5iaGvcI6gl+8smMVYKfWEtLmZnJl1/mzTezsJDZPz7q6/pffbh8568e3soxNzllZiaXL+f553P4cDZtyjD4GhoPwU+s5ZX8xYs5ejQ//TTmwUxPZzTKli0b6Pqik027CTca5ddfxz2IZDRKksXFcY+jnhl+Yk1PJ8nOnTl0KJcuZXo6w7A2wV430677/PL9Wznybw+emcmVK9m3b/1lP/+ZqcEaa6ItLeW339ZZSP/Vx/63R976idc9ORrlrrtyzz1qHyfBQxFL+sm3ob7STe/jJfjJpzFW2aWHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIv8DNQ+Dfmp4X0UAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "action": "('move', [-14.76498698589463, 7.561372229180712, -6.806530534278181])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "929ab001a940bbc478e086864da4042c0a41ac6d4ce86f69e8ac09c1da1e3f1d"} +{"episode": 38640, "episode_seed": 2658091401, "split": "train", "timestamp": "2025-09-15T23:25:07.496710", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2658091401, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "action": "('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "action": "('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "action": "('move', [-0.46410561023056146, 3.5650937960059736, -9.362242950389259])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH6ElEQVR4nO3cz69cZR3H8e85M/cSpSywlF3ThIToH9BYUCJgwqatlLJEiErZYdgUSgKNYENkI9HUBpoAaWK6YYVcoQXdIEFBwo8YXGmUsuEfAFJ678x5XMzlpmK0Ki1zbz+v13qSeTbv833OM+dM11orIEM/7wUAXxzBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5A5Bz+ZzPf7Icucgx+PNQ9fnHkGv7xcJ15o43G1NsdVQJA5T/jbbquHfzTtuqqqYZjvWuDi17X5jdeVldq0qZaX28176sgvuq1baxiq62rWP3DezXPCD0MNQ41G3dJz3fXX10svVd9X19V0OsdFwcVsnsGPRrVlS02ntbhY771XO3fWo4+206drNHKSBxfEPIMfj+uZZ2rHjlpervG4quqBB+r2O9pf/+L0Hi6Ied7Dz3zwQR08WMeOVVUtLtbycl199fRnj/W7vtNV1TBU7+EgOE/mHPxkUuNxrazU00+1+w50H300a75demndf389+GDX907y4LyZ/4Rfm+Fv/LHuumv67p/70aibndvt3jU8/kS3dWuneTgv5r9d7vtqrVqrr++o373S3/HdNqt9PK7nX+hu/Nbw4ourVwSn9/A5zT/4qtXp3Vpdfnn3y+P9kSNt81eGyaQWF7u/nRrdcksdOlQrKzUaeTgHPpf5b+nPNgzVWo1G9fpr7Yd3D2+90/d9N5v/u3e3I0e6bdvmvUTYyNbFhF/T99X3NZnUNdd2J1/s9+3rZpeA8bief7779o3DiROrnzTq4f+wvoKvqq6r8bim09pyZffkk3X0aF12WU0mtbhYf3+v37u3HXp4+OST6nu39PA/W19b+rO1tnos/4ff1z33tLfe7hYWajKp1oa9t7SfPja66qqaTGo0cnoP/611N+HXzDKeTusb36wTJ2vfvlpZGVrVwkL/7K9GO3e2Xy+tvlq7Xi9ZsO6s3wm/Zjqt0aiq6ujjw4ED9eHH/cJCrazUl7/U7rt3eOjHo9kJvzkP57QBgq9Pj+j6vl5/rd19d739Tjcez162azff3B0+XNu2eSAPzm39bunPtvba7DXXdr/5bXfn94fpdBiGWlzslpbqhhvqxAmv1sK5bYzgq6rrVh+82by5nj7WH/55XXFFW16uxcU6dap27WqPPNI+/tirtfCfbIwt/WfM7thffbX276833li9ELTW9u7tHv1J++rXutk7OcBnbJgJf7bZ1v2662ppqfb9oE2nrbVaWOiefbbt2dOWnhtmtW/ASxlcWBtyws/MTu+nk/b0U3Xvge7DD+uSS+rMmdq0adi/v3vooc7pPXzGBg6+qqbT1bO6N9+su+6c/und0WhU06Gq1U031fHjdeWV814irCcbcku/Zvb7fGu1fXu98uroe7cPrVW1qqr331+d7Rv5ggbn2cae8GvWtu5Hn2gPHqwzZ7qXX67t223p4Z9cJMFXrT5j2/d18mSdPl233jrvBcH6c/EEP7P2g5x/v4R/dbEFX5/+E9bs9h4420UYPPDv2PVCEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkH8A/oWr3yflxHEAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7a86b1576e5c616720599fc5d6423f7ebc5caebbb1b7947dd2dde745b4ed749e"} +{"episode": 38641, "episode_seed": 2240096892, "split": "train", "timestamp": "2025-09-15T23:25:08.157510", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2240096892, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "action": "('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKJUlEQVR4nO3dzYtddx3H8c+985DEaYU+ZJwmtdiNEuhGQpYaRQKCCgZRC420Ul270v9BEF0oUmpXkiAGiaCgGzFd1E1UxIVRs5JqHjppM010kkln7r0uzulMbEFMe2/Ocb6v1+pmZhaHMO/7/c05v3PPYDKZBKhh2PUBAPeO4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCfxdGo0wmXR8E3AXB373JJKNRkszNJcnWluz5fzHf9QH8v9nayvx8fvKT/PWv+dSncvhw5uczGmUwyNC7J303mJhO/7vJJONx1tZy9GjOn8/+/Tl+PJ/5TD796fa7g0HXhwj/jaF0l4bDzM/nxIkcPJirV/P883nyyXzykzl3LoPBztre2yi9ZMLfpe0x/re/5ec/z/e/n7/8JUnOncuRIxmP/2NhPxplODT26Q/B3707l+63buXkyVy5kq9/PXv3JslvfpMXX8yXvpT3v7/9sa2tzM3Jnj4Q/Dv1lmHe/DdubOTEiZw5k+XlPPVUvvjF9qxe3jzbB53yN/w7tV37ZNLWPhjk9u0cOpTHHsvqar7znXzsY/nKV3LmTG7fVjt9YMJPz/ZS/w9/yC9+kVOn8uc/J8lwmGPH8swzefLJnZ9MLPK59wQ/Vc11u2ZDzssv59e/zve+l9//Pkm++c184xtv/fnxOIOB8rlnBD8Dd+7DWV/P2bN54YU891xWVpJkdTU//nE+/vEcOrSzV284tG+He0DwM/P26b25mYWFfOtb7Sn9Eyfy9NP58IeztLTzXZglU2Vmtq/AN2f1JpN2nt9/fw4dysZGXnghH/lInnkmP/pRXntN7dwDJnwXLlzIz36W06fz29+2X/noR/PZz+ZrX2sX9s7qMRuCv+dGo3bUX7yYl17Kc8/lxReT5PDhtv87O1c+UyX4LjQ30jdX5v/1r/zud/n2t/PlL+f48fbt4OTJfPCDOXy4fWtwNx5TIvjujMdJ3rr3fm4uf/xjjh7NjRv5/Ofz1a/m8OE88ECSbG5mft60590wNLrTXIrb3qi37cqVfOADmUxy+nSOHcsXvpAf/jB//3sWFtTOu2TC90yzXe/ixZw5k5/+NGfPtl8/ciSf+1yeeiqPPurGe94xwffP9m05V6/mpZdy6lTOnMlkkr17c/58Hn/8rfftwP9M8L00Hmc0aq/M37yZP/0p3/1u9uzJD36gdt4NwffYeLyzXSdvuyEX7p7ge8+leKbHTdq9J3WmxxIRChE8FCJ4KETwUIjgoRDBQyGC74u330QDU+c6fPe2tjIY7Gyog9mx065H7J1l1kz4zjQ3ud6+nV/+Mhcu5PLlPPFEnn125yOwYOpM+M4083x9PUeOtI+o+cQn8qtf+bhqZsgKsjODQUajLC3lQx/K4mIWFrK52X7dmzAzIvjONMEn2bs3b7yRzc3885+5edNTJ5khwXfvfe9rX6yv5+rVJCY8syL4LjV3vq6stC8Ez6wJvnvLy+1ZuvX1vPpq10fDrib4LjVX3VdWsndvcseEbz6xHqZO8F1qVvL792fPniTZ3DThmS3Bd29lJfv2ta9XVxN/wzMzgu9Sc8l9ebld0ie5dq39OsyC4LvUXIrfs2dnwq+ttY+ZNOSZBcH3wv797Yvr13Pzps12zIrgO9as3g8ebP957VrW1jo8HHY5wffCI4+0L9bWcv164rwdsyH4jm1P+ObF2lpef73TA2JXE3wvHDjQ3gN//boJzwwJvmPNYH/kkQyHGQ4zGrUTXvDMguB74eDBDIc7q/q4FM9sCL5j2zfMzc+3W+ib7fQ+3I5Z8GvVC4uLefjhdhm/uprJJMOhVT3TJ/i+2L4Uv7qaW7c6PRR2L8H3xYED7YurVwXPrAi+L+6c8OvriRP1zIDg+2J7wr/yignPrAi+L5rg5+aytpabN7s+GnYpwXevWbo3S/rmM6pv3OjyeNjFBN8X20v6JK+80t1xsKsJvi/uvz+Li+2jKS5fTuy9YQb8TvXFwkKWl7O1lSSXLnV9NOxSgu+LxcWdVf3ly+2oh+kSfF8sLGRlpX196VL7YEmYLsF3r7l/ZnFxJ/jLl9u1PUyX4Ptibq79oKvhMJcutcHbbMd0Cb4XmrCb4Ofnc/16Nja6PSJ2J8H3QhP89pJ+MsmVKx0eDruW4HuhCf7BB5M3nyR58WKXx8NuJfgeWVra2XsjeGZB8L3QnKh/z3uyvNxO+2azHUyX4Hvkvvt2njllwjMLgu+FZsIvLe0Eb3ctsyD4HllaysMPt6//8Y9OD4VdSvB9MZlkcXFnwrtDllkQfC80D4rPm8+NHgyysZHXX/fcaKZM8H3RhP3QQxkMMhxmPPZnPNMn+H5573szmWQ0yo0befnlxHZ6pmq+6wOg1ZyoP3Aghw4lyUMPZd++bo+IXWgwMUH6ZGMjt27lgQe6Pg52KcH30Xic8Thzc54hy5QJvncmE50zK07a9Y7amR3BQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyL8Bd+RYv7Su5+wAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "action": "('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "action": "('move', [-1.2183577318529677, 5.5248592794822216, 29.899238417790837])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "54d2f35e84374ae64fa299f4245887a789b9c3b8ddd851d27c5a491c1a5a7eb3"} +{"episode": 38642, "episode_seed": 3715108447, "split": "train", "timestamp": "2025-09-15T23:25:08.810155", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3715108447, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "action": "('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "action": "('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "action": "('move', [-11.281056664224382, -0.5764799872567931, -42.07182346051512])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGZ0lEQVR4nO3bb49cZR2A4efMLAUCoSrEmFQIpKZYLMT+iSwh8dvwHfgGfDE1lQIhBaqmUmpf4IYEME0brO7M8cWsU7F9IQY71Pu6stlsMmcmz5t7f+c858w0z/MAGha7XgDw4AgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIXu7XsC3YJ7HPI/1eowxlssxTbteEHxXTfM873oN/41N4Zvfe3tj4UwF/gMP04TfTvJ5HsvlWC7vvnTjxvjkk3H9+jh/fpw5M+bZnIf7eAgm/GaB8/zvY/zDD8cHH8wfXV5fvbb8+ONx9ep88+b05pvjrbfG4eHYe5j+lcED8t3KYjPDx/ha25tZPU3jq6/GO++MS5fGpUvj2rXx2Wfj4M/jr3e2h06Lxbh8+ehzgHvtOPhN4ZufzX7b9lR8nsedO+Pzz8fbb4/fXhy/+dXhH68tb92ebt8+2p8bY4xx98R9sRjL5fjii3Hr1njiCWf1cB+7n/D/Osxv3hxffjkODsb774+LF8fFX69+f3X6573De5c6P/ro9P0fjO8dn0+fWu+/vtjfn86eHU8+qXa4v91fw3/66bhxff2nG9NHV6b33hvvvjsODubt6N5cih8ebg+fjx+fnnt2PPvcOHXy8NyF5c/PTi+/vJOFw8Nnl8GvVuONN8aVK+MPv1v/5ebYPgV07NiYx/j737YHrn/0w3H6zOKl0+PFU/OLP51OnRrPP3/3c9brsV6PxeJrVwTAvXYZ/J0747HHjv7e2xvzPFar7Yvrky+MC79YXLgwfvbS+sSJ6cSPp6efvvve1WqsVmOx0Dl8A7u8hp+msVgc7cCtVuPYsfncuem118b+/njllemZZ8ZTT43HHx/byb9ej9Xq6F2bLTrgG9nxpt1PTs4nX1i9/su9V18d589Px49v9/CORvb2mdnNGH/kkV2tFP4f7PKUfnM37r5PxW4X5VwdvkU73qXfDPDN9NY2/K/t/j68S3F4YHb8LTNTHR4kXyuFEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8g/WJO1GKgcozgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8a37ca424a4b3950864a2ba062b37d078cf9aee4907d308064eaf76192dd00ad"} +{"episode": 38643, "episode_seed": 249942320, "split": "train", "timestamp": "2025-09-15T23:25:09.803440", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 249942320, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "action": "('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "action": "('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "action": "('move', [-20.677504028586956, -19.475153282562527, 26.559456068474407])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b7a566b7865dfb972c91918c1c0e0dbd3e667ccdcfdbe3a4af52038733d7b856"} +{"episode": 38644, "episode_seed": 3483120477, "split": "train", "timestamp": "2025-09-15T23:25:10.435035", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3483120477, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "action": "('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "action": "('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALfUlEQVR4nO3dXYhU9R/H8c/MmZ1dy6S0xChNi5BQBEVQiFpCijAENV3xiUTWJyK0B9KLkG7KKMK0FvGhzHI1WZHNTUSopJCw8kLIiLBUKMXWWpNszZ2H8784p/2va6tmuzM783m/7lwv9uzFe36/8z2/mUmEYSgAHpLFvgAAhUPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4IGiCcNC/0aCB4ojn1ciofPn438WJn6CB4ogl1MyqWPH9OCDeuUVSUokCtF8qsd/A4BL5XIKAh0/rscf1+HDOnJEYagnn1TfvpKUSPTgr2aFBwoqn1cQ6McfNXWqDh9WOq1MRg0NymQKscgTPFA4+bySSZ04oRkzdPiwKirU1qbhw1VfrwEDFIZK9nCRibDwg0LAUrSTP3lSU6bo66+VTqutTXffrY8+0n33xa8FPY3ggUKIej59WpMn68svVVGhTEZ33aU9ezRiRPxaUABs6YEeF83ko7W9Y+27d2vECIVhgWoXwQM9LVq9f/pJNTU6eFCplDIZ3XOPdu/WqFHx0/iCIXigB0W1nzqlOXP0xRdKp5XNauhQNTRo1Kh45S8k7uGBnhLdtzc3q6ZGn32mykpdvKg779SHH2rMGGWzShX8HAzBAz0iqv233zR9uvbvj2fygwapqUljxxZuStcJW3qg+0V79TNnVFOj/fuVSqmtTbffrsZGjR1b0CldJwQPdLNo9T59WrNm6dNPlUopm9Xgwdq1S+PGKQwLOqXrhOCB7hSdnD1zRvPn6+OP4yndHXdo+3aNH69crpi1i3t4oBtF9+1nz2ruXO3ZE0/pBg7Uzp164AFlswoCggfKQlT7H39o9mw1NcWna/r3165dqq4u2pSuE7b0QDeIaj93Lq49Ol0zYIB27lR1dTGndJ0QPPBfRTP5lhbNmxfXns1q0CDt2KGHHirylK4Tggf+k2ht//13LV6sxkal08rldNtt2rJFEyYolyv29V2K4IHrF9V+/ryWLFFDgyor1damm2/We+/pkUeUzSqZ7EXLuxjaAdctqv3CBdXWatu2eErXt6927NDEicU5OXtVrPDA9Yhqb23VggXatk1BoExG/frpgw80caLy+d5YuwgeuA7tT+AWLVJ9vYJAuZz699fWrXrssUJ8UtV1663XBfRW0TvY//xTS5dq61al0wpD3XKLNm7UpEm9bkrXCcED/0K0tl+8qGXLtHmzKiuVyeiGG7Rhg6ZOVSbT66Z0nTC0A65VVHsmo6ee0vr18Tteq6q0ZYtqauKn8b25dhE8cI2i8zOZjJYu1bp18emaPn20ebNmzOhdp2uugC09cHX5vCT99Zeeflrr1sVTun799PbbpVS7CB64qqj2TEbLl6uuThUVCkP17au33tLMmb19StcJwQNXEs3kw1ArVmjtWlVWKpdTZaXWrtXcuSUwpeuE4IEutT9RX7FCq1crndbFiwoCvfmm5s2Lz9KVUO1iaAdc1fLlevXVeEqXSmndOtXWxit/adUugge6EoYKQz3zjNasUTKpMFRVld54QwsXFvvK/oNeed4XKLZo8J7N6uefJSkIFAR6/XUtXFiqa3uEe3jgH0SDuooKbd2qWbOUyei117RkibLZEq5dbOmBqzp7VocO6eGHS3ttjxA8cCUdD9WU0AGbrhA8cBVRIqWeeoShHXAV5ZF6hKEdYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITggS6U46e/ETzwT3K5svpoq78RPHCZTEZBoJMntWqVfv212FfTnfgQS+BS2awqKnTkiBYs0MGD+uYb1deXzWrPCg90EIZKpbRvnyZP1sGDSqV0773xz8sCKzzQQSKhujqtXKmWFvXvrzVrNGdOOXwBxd/4IgpAyuclKZlUW5vuv1+HDmn4cK1fr+rq+DuiywVbetjL5ZRMKplUPq90Wps2adIkNTWpulq5nIKg2NfXnVjh4S1K+ocflE5ryBDl80r+vQqW0U6+HSs8jOXzCgIdOKDJk1VbG38XfD6vfL4saxfBw1QYKgyVTKq+XtOm6dtvdeCAjh+PN/bJZFnWLoKHo/bveV+1SrW1+uUXDR6sXbs0bpxyuXIa0V2unP824B9EC3trq55/XnV1kjRmjLZs0ciRxb6yQmCFh5lEQseOafbsuPaJE7V3r0aOLJujNVdG8LAR3bdL+v57NTZK0pIlamjQwIHlOqK7HI/lYCZqe/VqnTunlSvjHyZdVj6CR7mLpu6ZjI4f17Bhqqi4ZD3v+ODdgNGfCkfRKbq2Nr34okaP1vvvK5f7/+16NMBz4vXXwks2qyBQc7Pmz9fLL6u1VXv2qLVViUR8P+9x394RwaNMRW96OXJE06ervl6S5szRhg266SZJ8XN4PwSPshOt3qmUPvlEU6bo88+VTGrlSm3apAED4lM3rjh4g/LSfn/+7rt69lm1tOjGG1VXpyeekOxGdJcjeJSRXE6SgkAXLmjvXrW0aMgQvfOOJkyIXwi8axfBo3y0v3c9m1WfPnrpJVVVadkyjR4d1268k2/Hc3iUhWhE9913qqrSsGGX/JflNL4r7jsclIN8XqmUvvpKU6Zo2jSdOCFJYRg/cqf2DtjSo5RFPSeTamrS4sU6dUqSjh7V0KGSyuzTqboFKzxKVvsDtro6zZypU6d0661qbFR1NQt7V1jhUZra39b+wgtavVqSRo7Uxo0aP77YV9arscKjBEWfOXf0qGbPjmt/9FHt3q3x4+Mnc+gCwaMERednmpu1b58kLVqk7ds1bFj8oZToGo/lUJqi5jdvVnOznntOQcApumtB8ChZHY/TUPu1IXiUOE7R/RtM6VHiSP3fYBcEGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/A9q5xiE3MQXWQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "action": "('move', [-1.8373264746444686, -3.0332196847106108, -2.5888549075149854])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIoElEQVR4nO3dTYhd5R3H8f85czOJoJaKJUpdFaq7FgndiDS6yaIJqEEiTvGFtmKdRCvFYJUWmpXgC7QkMhabYo1vm/jSYqOWUAV36qqCXaRWMFCThVEwhZnce08XdzoR00qq0XDP7/PZZXdu4Hv/z3mec+40XdcVkKE93RcAfHkED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED5+m6073FZxSgof/qeuqaU73RZxSgof/YjLYm6befPP4P3tA8PBJo1E1TY2Gdddddckl9eyz1TQ1Hp/uyzoVmq43311wKgyHNRjUkSN1+22jRx9rqtq1a+upp+qyy2o0qpmZ0319n48JD8dNan/773XNlvGjjzWDQdvO1KFD9dprVb1Y2JvwsGw8rratV1+t+Vu6v75Zq1Y1x47VmlWjX+1sb765Wbmrn2qCh+NbdE8+Pr79p+3hwzU7W0tLtfZr492/q42b2sl3QQ/04kPA5zAeV9NU09S999aNPzhe+7e/1e3b127c1A6HUz/YVwieaMNhtW0dPVq33lp33lnHjk1q7zZt6v60r7l4XY1GNRj0J3hLenJNdt0PHqzbbuueeaYGg6brajSq+fnugQeaNWuqNyv5Ff36NHDSJrW/8Ua3eXNNah8Oq6ruuacefLBZs6a6rm+1V9XgdF8AfNm6rrquZmbqj891W7fVuwdrdrZZWqpzvtrt3FVzc81oVG3bn2X8x/XuGww+1WSLrm3roYXRtXPduweb1atraakuvLB77g/N3FwzuavvZe0leKJMRvfSUv3i5+Nb5uvov9rZ2Vpc7NZ/d7zvhebSS5fX+X2tvWzakWPyFN3hw3XHHd2ePdW0TdvUaNTNXdM99HB71lk9fDfuRCY8ESa1v/VWbdlSe/Y0g0HTjWs06n62ffzYkym1lwlPgsnp2ssv10031YEDy8/VnHlmd/+9dfMtfd6iO5Hg6bOVuf3UE+P5bXXkSLt6dS0u1gUX1O7dtWFDDYc9v2n/BEt6emv5tfZR3Xdf9/3ruiNH2lWztbhYF19cL75YGzb0f4vuRCY8/TS5af/gg7r77lpY6KqamUGNht3Gjc0jj9S556bctH+CCU8PTWr/x9vd3LXdwkINBk3b1mjYbf3xeO/eLrb2Ejz9041rMKjXX+uuuGK874Vmdna5/wfub3YtzKxa1Uyevcnk0Vr6YzK3m7aef7770Q/H7x1a3qI755zx7t3tlVcu/y5d/56QP3nBH51+WZnbCwu1eXPz3qGZ2dlmcbG++Y3hSy8t1z55qDZZ9qenLyZn6UeP1vbtNT9fS0s1GNTSUrf+0tH+v8ysW7d8FB+7kl9hSc/Um5yuvffPbtu2bu/T7UxbTVvDYd1wff1658xXzu7ha+2fmf8Gptt4XDMz9be3uquuGu99uhmsqnFXw2Ht2FG/3d2cfdby8GfCOTzTauVo7ZVXuhtv7N55p5m81n7G6vFvHm6vu275vXe1f5zgmUorq/Q9e2p+vj76aPkJ+a+fN3r8iXb95T35VelTzrcf02dS+9JS7fhld8P13Urt31k3+vP+dv3lzeT4Te0nMuGZSh9+WLf/ZPzI75umaQaDOnasrr6627Wz1p7X9OAPQn1xBM80mdy3v/9+bdlS+/fXYFDjrsaj8fbtzY4dzRln9OHPv32hHMsxTZqmuq5mZ+v886smvypfo1272q1bm/rPjj2fwoRnykyG/OJibd5c+/fX03u77220RXeyBM/0mWzaHThQo1FddFGp/eQJnqm0cggf+6LrZ+Menqk0uZkvg/3/JHimldQ/Aw/eQBDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/A+eEDjgutbPHAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIoElEQVR4nO3dTYhd5R3H8f85czOJoJaKJUpdFaq7FgndiDS6yaIJqEEiTvGFtmKdRCvFYJUWmpXgC7QkMhabYo1vm/jSYqOWUAV36qqCXaRWMFCThVEwhZnce08XdzoR00qq0XDP7/PZZXdu4Hv/z3mec+40XdcVkKE93RcAfHkED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED5+m6073FZxSgof/qeuqaU73RZxSgof/YjLYm6befPP4P3tA8PBJo1E1TY2Gdddddckl9eyz1TQ1Hp/uyzoVmq43311wKgyHNRjUkSN1+22jRx9rqtq1a+upp+qyy2o0qpmZ0319n48JD8dNan/773XNlvGjjzWDQdvO1KFD9dprVb1Y2JvwsGw8rratV1+t+Vu6v75Zq1Y1x47VmlWjX+1sb765Wbmrn2qCh+NbdE8+Pr79p+3hwzU7W0tLtfZr492/q42b2sl3QQ/04kPA5zAeV9NU09S999aNPzhe+7e/1e3b127c1A6HUz/YVwieaMNhtW0dPVq33lp33lnHjk1q7zZt6v60r7l4XY1GNRj0J3hLenJNdt0PHqzbbuueeaYGg6brajSq+fnugQeaNWuqNyv5Ff36NHDSJrW/8Ua3eXNNah8Oq6ruuacefLBZs6a6rm+1V9XgdF8AfNm6rrquZmbqj891W7fVuwdrdrZZWqpzvtrt3FVzc81oVG3bn2X8x/XuGww+1WSLrm3roYXRtXPduweb1atraakuvLB77g/N3FwzuavvZe0leKJMRvfSUv3i5+Nb5uvov9rZ2Vpc7NZ/d7zvhebSS5fX+X2tvWzakWPyFN3hw3XHHd2ePdW0TdvUaNTNXdM99HB71lk9fDfuRCY8ESa1v/VWbdlSe/Y0g0HTjWs06n62ffzYkym1lwlPgsnp2ssv10031YEDy8/VnHlmd/+9dfMtfd6iO5Hg6bOVuf3UE+P5bXXkSLt6dS0u1gUX1O7dtWFDDYc9v2n/BEt6emv5tfZR3Xdf9/3ruiNH2lWztbhYF19cL75YGzb0f4vuRCY8/TS5af/gg7r77lpY6KqamUGNht3Gjc0jj9S556bctH+CCU8PTWr/x9vd3LXdwkINBk3b1mjYbf3xeO/eLrb2Ejz9041rMKjXX+uuuGK874Vmdna5/wfub3YtzKxa1Uyevcnk0Vr6YzK3m7aef7770Q/H7x1a3qI755zx7t3tlVcu/y5d/56QP3nBH51+WZnbCwu1eXPz3qGZ2dlmcbG++Y3hSy8t1z55qDZZ9qenLyZn6UeP1vbtNT9fS0s1GNTSUrf+0tH+v8ysW7d8FB+7kl9hSc/Um5yuvffPbtu2bu/T7UxbTVvDYd1wff1658xXzu7ha+2fmf8Gptt4XDMz9be3uquuGu99uhmsqnFXw2Ht2FG/3d2cfdby8GfCOTzTauVo7ZVXuhtv7N55p5m81n7G6vFvHm6vu275vXe1f5zgmUorq/Q9e2p+vj76aPkJ+a+fN3r8iXb95T35VelTzrcf02dS+9JS7fhld8P13Urt31k3+vP+dv3lzeT4Te0nMuGZSh9+WLf/ZPzI75umaQaDOnasrr6627Wz1p7X9OAPQn1xBM80mdy3v/9+bdlS+/fXYFDjrsaj8fbtzY4dzRln9OHPv32hHMsxTZqmuq5mZ+v886smvypfo1272q1bm/rPjj2fwoRnykyG/OJibd5c+/fX03u77220RXeyBM/0mWzaHThQo1FddFGp/eQJnqm0cggf+6LrZ+Menqk0uZkvg/3/JHimldQ/Aw/eQBDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ5B/A+eEDjgutbPHAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3e62605b92d4987f11cae401feb7a10f9a630925551b5cfda86f27b7424b223a"} +{"episode": 38645, "episode_seed": 3871459111, "split": "train", "timestamp": "2025-09-15T23:25:11.083978", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3871459111, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "action": "('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "action": "('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "action": "('move', [-0.7648058435699162, 0.2642292673183298, -39.64182989371909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f287fe571a7c93d406f5f8d5d1f5ff09bd36ed62745f5e59887e40e91907baa1"} +{"episode": 38646, "episode_seed": 1580766402, "split": "train", "timestamp": "2025-09-15T23:25:11.734940", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1580766402, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "action": "('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "action": "('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJxElEQVR4nO3dX49cdR3H8c+Z2Xa7DQIFLUG7QKnGFLSaQiGUO8O/kEAIt177HHgKPgWfhDcQb0yIF12lhrYayvJPLZAQW6A0SyndnX9enEOLVS9MOnN2+3290jQzZ04mv2T3feb8ztn9bTObzQLUMOh7AMDiCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRfD9ms75HQEmC70fT9D0CShL8oo3HuXIlp09nY6PvoVCP4BdkOk2S9fW89FLuuy9Hj+b11xPn9iyW4BekDfvy5Zw4kc8/T5K1tcxmgmehBL8gg0GS/PCHOXq027K2lqYRPAsl+AVpmkwm2bcvP/pRt+XcuVy6lOFQ8yyO4BenncYfPtw93djIqVPXt8MCCH5x2ltxDz+cu+5Kki+/zMmTmc0Ez+IIfnHaafyRIzlwIElms7z5phvyLJTgF2cwyHic/fu74JOcO5fLl7O0ZBrPggh+odr7cD/9aff0k09y9myaxlk9CyL4hRoM0jR57LHs3Zsk//xnzp5NXLdjUQS/UO2M/dix3H57kkynefvt69th3gS/UINBptOsruaee7ot776br782jWdBBL9obdiPP949XV/PP/5xfTvMleAXrb0598QTaZoMBvnww3z8cWIaz0IIftHa6fqTT6Zp0jQZj/POO9e3w1wJvh8HD+bAgUwmSXL6dLa2/FA9iyD4fiwt5fjx7vGf/5yLF3sdDWUIvjfHj6dpsrSUd9/NZ58lrtsxf4LvwbUL9bNZhsNMJnnrreSb63kwP77FerO6mv37s7WVJH/6k493FkHwvfnOd3LsWNf52lrG474HRAGC70G7stVtt+XYsW4af+ZMLl3qe1gUIPh+tD9m87OfdZ/wo1HefDNx3Y45E3yf7r8/d97ZncyfONH3aChA8P1oL8gfOJAjR7ota2uJT3jmTPC9mU7z3e/moYe6p+vruXIlg4HmmSPB96Ndtbppri9ie/lyt4it4Jkfwfem/W2Zw4dzxx1J8tVXeeONxK/NMU+C78214O+/P0mm05w82T2AORF8bwaDTCb5/vezutpt+dvfcvWq1W+YI8H3pl2sdjC4ft3u/Pmsr3fLYME8CL5P7Vn9I490i9ieP58zZ/wtGuZI8H1q78Y/9lj27UuS0ShvvWXpG+ZI8H1qz94PHsz3vtdtef/9bG6axjMvgu/ZdJrZLD//eff0/fdz7py/RcO8CL5n7d+iOX68O73/4AOrVjNHgu9ZO2M/fjxLSxkOMx7nvff6HhO3LsH3rA3+oYdy993dIrZ//WsmE9N45kLw20LT5IknusenTuXChV5Hw61L8NtFG/xwmLffzqefJqbxzIHg+9eG3S5TPxxmc7Obxrshz00n+O3i0KHceWdGozRN91s0guemE/x2cW0R29ksa2u5erXvAXErEnz/2k/ylZU8/niGwywv5+zZXL6cmMZzswl+W5hO0zQ5ejSTSTY3c+lSTp/ue0zcipb6HgDJN5/kP/5xnnkmP/lJHn00Dz+cmMZzszUzZ43bxmSSK1dy2206Z14Evx1NJt3P2MPNJfjtZTbTOXPkot32onbmSvBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoZKnvAfD/mM0ynf7blqbp/l3b4dsvwb9rZt/+FuEWM5t1h4AbDgqz2X8/HHx74w3fGA4ftwTB7xBtohcu5LXXMhpl794sL2d5Obt359ix3H13kmxt5fz5DIdZWcmePdm9O8Nh3+NmexH8DjGZZDjMyZN5+ulsbHQbB4MMBvnd7/LUU0myvp4XXsgXX2RpKU3TvbprVwaD/OpXeeWVjMdZWsqvf50//jH33JNdu7JnT5aXs3dvhsOsrubll7OykiQXLuQvf+kOHHv2ZGUly8tZWcnu3d3O7Ezm8DvK7t158MFcvJjZLONxJpMkWV7uXh2Pc+lSvvjixrPxJB99lHxzlv7b3+aNN/7Lmz/wQJ57rgv+97/PL3954w67dmU8zquv5vnnu2MHO42v2Q4xGCTJkSP5wx9y9Wq2trK5mc3NbG3l0KFun9XV/OY3uXKle6ndbWsrGxv5xS+uv8mLL+YHP8h0ms3NjMfdgePq1Rw6lD17urdaXs6BA5lOMxplNMp4nNEoTZPRqHsTdian9OW1SX/9dZom+/Z1F+cuXszf/57xOFtbGY26/8fjbGzk2Wdz773/87If25vgd5r263XD7be2vdmsO8n/9p7tg+Hw+sR7PO5ybef5uq1E8FXd8HVvn147Xb92w/8/d2uvCLIzCR4KcQEGChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wJtoChtLUGnCQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "action": "('move', [4.092512584984602, -11.845985418272905, -52.26702388469275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "19fe6a6ae957754ac3963a21e7ddef0c4786ccc25eff5bb503ff91aa26128018"} +{"episode": 38647, "episode_seed": 409921203, "split": "train", "timestamp": "2025-09-15T23:25:12.750666", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 409921203, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "action": "('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIo0lEQVR4nO3dvW9cVR7H4d947MSTOHEIiQlK4kRIQIGgQYIKJBoqGjpKGkTFP0NDg/gPoKRNg6BDQogCiQISYhNhh+B4Ji+ely1m1gmJ2WVXO/ey/j6PrqwZyfIZK/n43HPnzExnMpkUkGGh7QcANEfwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETw0LbxuEajmkwaGKozaWQY4O/ADA+tGo/rs8/qvffqm29md+dJ8NCq0ag+/7w+/ri+/np2d54EDy2ZrqZHo7p7t6qq02lgTMFDqyaT6vdnN+ZP8NCq0agGg2am9xI8tGw0qlu3ajKZ9+W6qcUGxgAOMJ3Vl5fr/ffr5ZfrxRerqhbmOwd7Hh6COKWHtg2Hdf9+M6f0ZngIYoaHlkzn2u3teu21euON+vLLqrlvvHHRDlo1GNQXX1RVbW1Vzf3ZeMFDq+7dq263VlbqxIkGRnNKD63a3a3RqBYXa2mpau4bbAUPrZruqz1ypI4caWA0wUOrBoOqquXlOnq0gdEED63q96vbrV5P8HCoTZfrN2/WaFR7e82s4V2lh1adOVOvvFLPP18rKw2MZqcdtGo8rsGgJpM6fnzer5wpwUMUa3gIYg0Prbpypb77rl56qV5/vYHRzPDQqk8+qQ8+qA8/rKoaj+e9l17w0Kq9vep0anW1qon3sRQ8tKrfr8lktq92PLaXHg613d2qmgVvhodDbhr88nIzowkeWjV9tVyv18xogodW9fu1tFTHj1c18WlTgodW/fpr7e0185a1ZeMNtOzKlRoM6rnnqqoW596jvfTQnsmksU+Vm3JKD+1ptvZySg9tGgzq++9rebnW1+v48QYmfDM8tGG6lP7hh3rrrXrnnfr226pq4NKdGR7ac+tWbWzUYDDvD5zZZ4aHNkxn+MGgFhZqZWX2PPz8CR7a0+/XeDx719pGCB7aM91Xu7Q020tvpx0cZo8EP3+Chzbsr+GramlpdkpvhofDbGenqqrTqV6vgRfDl6floB3TyfzVV+vdd+uZZ2ppqZng7aWHIGZ4aM/+dNvUpnrBQ3saf/GMi3YQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQZLHtBxBhMnn0RqdTnU5bD4dcgv9fmvY8mcyOqYWFWvjniZTIaZfg/0v7VT+cd7db3e4BVU8m1e/X7m71+9Xv1+3bde1abW7Wm2/WCy/UePzgLwLMleD/vUfm7emxuHhwpXfu1G+/1c2btb1d29t182bduFHXr9fGRm1s1OZmbWzUeDz75o8+EjyNEvwf7J+HP3x3WuPj8/bWVv3yS21uPvi6tVVbW7W9Pbuxs3PAEN1uHTlSnU4Nh3X9+jx+CfhTicHvT7CPXzk78O7du3X1av3884Ov167V77/Xzk7t7tbt27W7W/fvHzxWt1uTyYMRq2o0qtGoqmphoYbDqsf+ysD8JAb/+PnzcFijUQ2Htb1dP/5YP/30h2Nnp+7ff3D89VGmS/put558si5frkuX6tKlWl+f3V5ZqZMnq6oWE/8RaEfc/7U7d2pzs+7dq62tWc9Xrz44dnf/4x+4uFjHjlWvV71eHTtWp0/X5cu1vl7r67O819drZeVf/QSX7mlMUPDDYS0u1ldf1dtv/+nqemlp9p0HnmafOFGnTs2OJ56oM2fq/Pk/HGtrf+mRPPxsPDQpKPiphYW6d6+WlqrbrfG4hsMHC+yHV9fnztVTT82Oc+dqba3OnKm1tVpbq7Nn6+zZ6vUO+OHjcY3Hs4z3vz5etc5pS1Dw08xOn65Tp+rGjdrbq6paXa0LF+r8+bp4sS5erAsX6ty5Wl2dHSdP1urqwX1O/1JMe94/Ht5jA39DnUnMNeLJpDqd2t6uTz+thYV69tl6+uk6dqyWl+vo0er1/vTi2YFtl4ma/0NBwf8Vj5yTC5tDJjf4x39vYXPoBa3hHyFvArnEBEEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0H+AdEH31ICsiWaAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKAklEQVR4nO3dTYhd9R3H4e+dOxMnZqRStRRBFxUtLrSCb6AYjBu1WFz4UrWodeELim50o4JLEV0Ugqj4kp2xBe3C1oB1IWqogtgSRCTYYhWUYmyQ6NwY5957urjHdAz2Feae3vk9zyozzHAuDJ/8zv+c/7m31zRNgBrmun4BwPQIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ46Np4nNEoTTOFQ/WaqRwG+H9gwkOnxuP8+te58cbs2tV+uZYED50ajbJjR558Mn/4Q/vlWhI8dGSymh6N8uWXSdLrTeGYgodONU2Wl9t/rD3BQ6dGowwG0xnvETx0bDTKZ5+ladb6ct3E/BSOAXyLyVRfXMzNN+f003PKKUkyt7Yz2H14KMQpPXRtOMxXX03nlN6Eh0JMeOjIZNb+7W8577xs2ZLf/z5Z8403LtpBpwaD7NyZJJ9+mqz53XjBQ6cOHEi/n6WlHHHEFI7mlB469cUXGY0yP5+FhWTNN9gKHjo12Ve7YUM2bJjC0QQPnRoMkmRxMYcdNoWjCR46tbycfj8bNwoe1rXJcn3v3oxGWVmZzhreVXro1NFH56yz8sMfZmlpCkez0w46NR5nMEjTZNOmtX5yJoKHUqzhoRBreOjUyy/nnXdy6qnZvHkKRzPhoVPbtuX227N1a5KMx2u9l17w0KmVlfR6+c53kmm8j6XgoVPLy2madl/teGwvPaxrX3yRpA3ehId1bhL84uJ0jiZ46NTkabmNG6dzNMFDp5aXs7CQTZuSaXzalOChU3v2ZGVlOm9ZGxtvoGMvv5zBICedlCTza96jvfTQnaaZ2qfKTTilh+5Mt/Y4pYcuDQbZvTuLizn++GzaNIWBb8JDFyZL6T/9KZdckquuyttvJ5nCpTsTHrrz2Wf5+OMMBmv9gTMHmfDQhcmEHwwyN5elpfY+/NoTPHRneTnjcfuutVMheOjOZF/twkK7l95OO1jPDgl+7QkeunBwDZ9kYaE9pTfhYT3bty9Jer1s3DiFh+Hjthx0YzLMzz47P/95fvCDLCxMJ3h76aEQEx66c3DcTmtTveChO1N/eMZFOyhE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgp9tTZOm6fpFMDsEP9t6vfR6aZqMx12/FGaB4GfY8nJ27sxf/pJeL3NzGQ5lz78h+Jk0Cfvdd3PBBTn//Gzdmj//OfPzmZvLyors+ad6jSXgDGqaHDiQO+7Itm0Zj9M0OfnkXHNNrr46J5yQJMNh+v30el2/UP7PCH72NE16vezdm/PPz9tvJ8mGDfnqqyQ5+eRcckluvz3HHfeNH4YJwc+q0SgffZTnn88DD+Sjj5Jkfj7DYZIcf3wuvzx33pljj21/eDxuL+9RnOBn3r592bYtW7fm/feTpN/PaJQkRx6ZG2/MzTe3J/mTK/n9fpcvlc4JfoatPl3fvz8PP5ynn86uXUkyP5/RKE2TpaXcemt+9rOcemqSDIfp9WRfl+DXg4Plf/55nnoqzz2XnTuTZGEhw2GaJkcemeuvzxVX5Nxzk2RlJf1+5tyiqUfw68dwmPn5JNmzJ7/9bZ54Iq+/niQLC1lZSZLvfS8/+UluuKHNfvKXt7AvRfDrStNkOMzCQpJ88klefTUPPJC33kpWre2POSZbtuSuu3Lmme1vuaRXh+DXofE443E77ZeX8+KLuf/+7NrVLuAnf/DDD8+FF+aee/KjH7X/Qbh1X4Hg161Dzth/+cs88kjefDNfftnO88mGvCuuyB135IwzsriYrFoXsC4Jfv1bXf727XnmmezY0d6i6/XaW/dXXZVrr83FF7ffcSV/vRJ8FZMduP1+xuM8/3yefjrPPpukneeT8/lLL81Pf5orr2x/3sJ+/RF8LQcX6vv35/XX8+ijbfb9frszZ3Ex55yTW2/NZZe1v+Ji/noi+HKaJqNRO9gPHMgf/5gHH8wLL7S78SdX9Q47LKedlnvvzYUXZsOGJBmN2odwmWmCL2ryVjkHA37jjTz4YF55JXv3Jqvu4Z11Vu6+O5s357vfTZKVlczPm/YzTPClHXK6vnNnHnssv/td9uxJVj2Ns3lzbropF12Uo45KZD/LBE/yzfP8117L9u3Zvj379mVuLvPz7dn+li25/PJcd12Wlg49QWBWCJ5/mDxvM8n+zTfzq1/lkUeyf3/m5tLvt/tzzzwz11yTW25p79szWwTPoYbDzM2103v37jz+eB57LINB8vXavtfLiSfmtttyww054gjvsTFLBM+3OOTh+Q8/zEMP5dln89e/Jl8/jbNxY557LhdfbHPeLBE8/8rq6f3BB/nFL7JjR957L0l+/OP85jdJ7M+ZJYLnPzIatQP/vffy1FN56aXcd18uvdR4nzGC5z+1+tnbDz/M97/f7slhhgie/87qZ2+ZOYLnf+HRmhkleCjEVikoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjk76+ujTeQ+GA+AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "action": "('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKAklEQVR4nO3dTYhd9R3H4e+dOxMnZqRStRRBFxUtLrSCb6AYjBu1WFz4UrWodeELim50o4JLEV0Ugqj4kp2xBe3C1oB1IWqogtgSRCTYYhWUYmyQ6NwY5957urjHdAz2Feae3vk9zyozzHAuDJ/8zv+c/7m31zRNgBrmun4BwPQIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ46Np4nNEoTTOFQ/WaqRwG+H9gwkOnxuP8+te58cbs2tV+uZYED50ajbJjR558Mn/4Q/vlWhI8dGSymh6N8uWXSdLrTeGYgodONU2Wl9t/rD3BQ6dGowwG0xnvETx0bDTKZ5+ladb6ct3E/BSOAXyLyVRfXMzNN+f003PKKUkyt7Yz2H14KMQpPXRtOMxXX03nlN6Eh0JMeOjIZNb+7W8577xs2ZLf/z5Z8403LtpBpwaD7NyZJJ9+mqz53XjBQ6cOHEi/n6WlHHHEFI7mlB469cUXGY0yP5+FhWTNN9gKHjo12Ve7YUM2bJjC0QQPnRoMkmRxMYcdNoWjCR46tbycfj8bNwoe1rXJcn3v3oxGWVmZzhreVXro1NFH56yz8sMfZmlpCkez0w46NR5nMEjTZNOmtX5yJoKHUqzhoRBreOjUyy/nnXdy6qnZvHkKRzPhoVPbtuX227N1a5KMx2u9l17w0KmVlfR6+c53kmm8j6XgoVPLy2madl/teGwvPaxrX3yRpA3ehId1bhL84uJ0jiZ46NTkabmNG6dzNMFDp5aXs7CQTZuSaXzalOChU3v2ZGVlOm9ZGxtvoGMvv5zBICedlCTza96jvfTQnaaZ2qfKTTilh+5Mt/Y4pYcuDQbZvTuLizn++GzaNIWBb8JDFyZL6T/9KZdckquuyttvJ5nCpTsTHrrz2Wf5+OMMBmv9gTMHmfDQhcmEHwwyN5elpfY+/NoTPHRneTnjcfuutVMheOjOZF/twkK7l95OO1jPDgl+7QkeunBwDZ9kYaE9pTfhYT3bty9Jer1s3DiFh+Hjthx0YzLMzz47P/95fvCDLCxMJ3h76aEQEx66c3DcTmtTveChO1N/eMZFOyhE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgp9tTZOm6fpFMDsEP9t6vfR6aZqMx12/FGaB4GfY8nJ27sxf/pJeL3NzGQ5lz78h+Jk0Cfvdd3PBBTn//Gzdmj//OfPzmZvLyors+ad6jSXgDGqaHDiQO+7Itm0Zj9M0OfnkXHNNrr46J5yQJMNh+v30el2/UP7PCH72NE16vezdm/PPz9tvJ8mGDfnqqyQ5+eRcckluvz3HHfeNH4YJwc+q0SgffZTnn88DD+Sjj5Jkfj7DYZIcf3wuvzx33pljj21/eDxuL+9RnOBn3r592bYtW7fm/feTpN/PaJQkRx6ZG2/MzTe3J/mTK/n9fpcvlc4JfoatPl3fvz8PP5ynn86uXUkyP5/RKE2TpaXcemt+9rOcemqSDIfp9WRfl+DXg4Plf/55nnoqzz2XnTuTZGEhw2GaJkcemeuvzxVX5Nxzk2RlJf1+5tyiqUfw68dwmPn5JNmzJ7/9bZ54Iq+/niQLC1lZSZLvfS8/+UluuKHNfvKXt7AvRfDrStNkOMzCQpJ88klefTUPPJC33kpWre2POSZbtuSuu3Lmme1vuaRXh+DXofE443E77ZeX8+KLuf/+7NrVLuAnf/DDD8+FF+aee/KjH7X/Qbh1X4Hg161Dzth/+cs88kjefDNfftnO88mGvCuuyB135IwzsriYrFoXsC4Jfv1bXf727XnmmezY0d6i6/XaW/dXXZVrr83FF7ffcSV/vRJ8FZMduP1+xuM8/3yefjrPPpukneeT8/lLL81Pf5orr2x/3sJ+/RF8LQcX6vv35/XX8+ijbfb9frszZ3Ex55yTW2/NZZe1v+Ji/noi+HKaJqNRO9gPHMgf/5gHH8wLL7S78SdX9Q47LKedlnvvzYUXZsOGJBmN2odwmWmCL2ryVjkHA37jjTz4YF55JXv3Jqvu4Z11Vu6+O5s357vfTZKVlczPm/YzTPClHXK6vnNnHnssv/td9uxJVj2Ns3lzbropF12Uo45KZD/LBE/yzfP8117L9u3Zvj379mVuLvPz7dn+li25/PJcd12Wlg49QWBWCJ5/mDxvM8n+zTfzq1/lkUeyf3/m5tLvt/tzzzwz11yTW25p79szWwTPoYbDzM2103v37jz+eB57LINB8vXavtfLiSfmtttyww054gjvsTFLBM+3OOTh+Q8/zEMP5dln89e/Jl8/jbNxY557LhdfbHPeLBE8/8rq6f3BB/nFL7JjR957L0l+/OP85jdJ7M+ZJYLnPzIatQP/vffy1FN56aXcd18uvdR4nzGC5z+1+tnbDz/M97/f7slhhgie/87qZ2+ZOYLnf+HRmhkleCjEVikoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjk76+ujTeQ+GA+AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "action": "('move', [7.321650688041541, 5.137553861546823, -33.16162035739619])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKrklEQVR4nO3dT6ildR3H8c9zz7m3O844tTANiSldNEIYZNQw+KfGogaybIJgaGOLJCJaVSPjSgIXFUK0CISobQgpUSQIMSqWBuNAWGHhxkYlG4tJ7j1Nc+85p8VzGPtjORn3ec4539cLFw6zeA7Dfd/v8+f3/E4znU4D1LDS9wcAuiN4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChb5NJxuNMpx0cqpl2chhgHpjw0KvJJPffn9tvzy9/OfvjThI89Go8zk9+ku98J6dOzf64kwQPPWmvpsfjnDuXJE3TwTEFD72aTrO5OfufnSd46NV4nNGom/EewUPPxuOcPZvpdKdv17WGHRwDeBXtVF9fz+c+l/e8J9demyQrOzuDPYeHQpzSQ9+2t3P+fDen9CY8FGLCQ0/aWfunP+XGG3PoUH7+82THF964aQe9Go3y2GNJ8tJLyY4/jRc89Opvf8tgkD17cumlHRzNKT30amMj43GGw6yuJju+wFbw0Kt2Xe3aWtbWOjia4KFXo1GSrK/nDW/o4GiCh15tbmYwyK5dgoel1l6u//nPGY+ztdXNNby79NCryy7L+96X/fuzZ08HR7PSDno1mWQ0ynSa3bt3+s2ZCB5KcQ0PhbiGh16dOJFf/zrvelduuqmDo5nw0Kvvfjdf/GK+9a0kmUx2ei294KFXW1tpmrzxjUkX+1gKHnq1uZnpdLaudjKxlh6W2sZGklnwJjwsuTb49fVujiZ46FX7ttyuXd0cTfDQq83NrK5m9+6ki2+bEjz06syZbG11s2VtLLyBnp04kdEo73hHkgx3vEdr6aE/02ln3yrXckoP/em29jilhz6NRvntb7O+nn37snt3BwPfhIc+tJfSzzyTW27J0aN56qkkHdy6M+GhP2fP5oUXMhrt9BfOXGDCQx/aCT8aZWUle/bMnsPvPMFDfzY3M5nMdq3thOChP+262tXV2Vp6K+1gmf1L8DtP8NCHC9fwSVZXZ6f0Jjwss5dfTpKmya5dHbwMH4/loB/tMD9wIJ/5TK6+Oqur3QRvLT1zbTLp4NsZCjHhmVPT6eyJ1TK7MG67WlTvlyfzqF1UPhjk+eezvd33p9k5TTP7ryuCZ+60e7eeOZPPfz7vf3+eeSbpYn/HElzDM1/ai/bf/CYf/nCefz5JjhzJ/fd3/+b4cjLhmS9Nk+k0V1yRa65JksEgDzyQH/wgTdPZNlDLzIRn7ozHGQzyyCM5ciQbG9nayjvfmUcfzd69GQzM+f+LCc/cWVnJ9nauvz5Hj2ZrK4NBnn463/xmhsPO3iJdWiY886gd8r//fW66KadPZzLJFVfkwQfz7ndne7uDvR6XlgnPPBoMMh5n37586UuZTDIc5sUXc889syfzhtTrZsIzv9o78wcP5oknZr8CfvjDfPzjlt+9foJnfrXB/+xnOXQok0kmk1x3XX760+zdm/Sw4+sy8HuS+dU+orv++nz2sxmPMxzmySdz771Sf/1MeOZa++P57LP5wAdy+nSaJnv25NSpXH21pTivhwnPXGvX27ztbTl2bHbp/pe/5I47ki72dF5CgmfetWP805/OzTdnaysrK/nxj/PAA7PbePxPBM+8W1nJeJw3vSlf+UouuSQrKzl3LnffnbNnZ6/QcvEEzwJo19gdPpxPfSrb21lZyalTuffeDIeeyf9v3LRjMYzHaZo891ze+9689FKSXH55TpzINdfMluVxMUx4FkP72sy+fbnjjtnduz/8IffcM7uqN7YukgnPIplMMh7n4ME8+WRWV7O9nYceyoc+5BHdxTLhWSRNk9XVfOMbWVtLkuk0x4/n3DkT/mIJngUznebGG3PbbdnaynCYkyfz7W87q79YTulZMO0F/NNP5/DhPPdcJpO8+c15/PFcdVVigf1rMeFZMO32GPv35wtfmN2f/+Mfc9ddaZqMx+b8azDhWTztz+zGRj7ykTz+eJoml1yS738/t9xie4zXYMKzeNphfumlOX48a2sZDLK5ma99LRsbGQysvftvBM9CGg4zmeRjH8snPpHt7QwGeeyxfO97szdq+U+c0rOoptNMp3n22Vx3XV5+OU2TK6/Mo4/m7W+3Jc5/5F+FRdV+R9NVV+XOO2eFnz6dr3999le8KhOeBdYO+Y2NfPCDOXkyq6uZTPLww7nhBmvvXp0JzwJrk967N1/9atbWZjfzvvzlnD/vSv7VCZ7F1m6Jc+hQjh7N+fMZDPKLX8zW3tke4985pWfhtc/en3oqhw/nxRdnG9o//HD27UvTuHv3T/xjsPCGw2xv59prc/vts7V37d279isrTLR/ZMKzDNrFNn/9aw4ezK9+labJ+np+9KPcfLO1d//EhGcZtG/L7d49W1TfNBmNXll7Z6hdIHiWRBv2Jz+ZW2+dfWvFQw/lvvv6/lhzxik9y6P9Wf7d73LgQDY2Mp3mrW/NE0/kLW9JrMZJYsKzTNqk9+/PsWOvfOH03XdL/RUmPEul/XE+cyYf/WhOnsxgkOEwJ07k4EEL7BMTniXTLra7/PIcO5bhME2T8+dz/HhGo74/2XwQPMumfSX+1ltz5MhsD5xHHsmDD862yilO8CybdrHt2lruvDNra7nsstx1Vw4cSOKU3jU8S6q9Yr/vvlx5ZW64oe9PMzcEz9K6cJeu3dDavfoInuXWvjDnm+cuEDwUUv4mBlQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g42v7VhX6ZLtQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF4klEQVR4nO3dwXHcVhZA0dekhk3O5OAIHIMysWN0Bq5yKt555RoRzbFENrzorpYTIDDFe85K0uZzc+v9DxBfh3VdB2i42/sHALYjeAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQ8mnvHwDS1nVeX2dm7u/n7v3n72Fd13dfBPj/YMLDnr58mV9+mcNhPn+eH36Y8/l957wzPOzjsrf+/ff5+ef56af59deZmbe3913UhIc9LcscDjMz375tsZwJD3talusfNnhiNyY87Ov5+bq33+bpuQkPe7pN+G0IHvZxObqfTpsuKnjY0/PzpssJHvYkeAhxhocQZ3gIsaWHEMFDyLJs+rmq4GFPp/+eLy/ktyF42NOXLyY8ZCzPqwkPFctpw9wFD/taXgQPDes6p//db7mi4GE3p9Os6zjDQ8KybHTvxY3gYQeXzpdlzudN1xU87OafE/7TJtfNCR52cwn+vM7MenzYYnMveNjNssyslyF/fvh0nnn3B3iChx3czvDrzKxzmDk+bLGua6phN7eHdsd/HY6PW7ydM+FhN7eHdsd/Hx6eDmNLDx/Y9+CPh4dNtvSCh93cbrA8Hud43GJFwcMOLoP9+fuEFzx8dKfn67v343EuW3pnePiwbh/DPz6OMzx8cP88wz8+brGi4GEHt1+8ubht6d+b4GE3izM8dCzP149jbenh47vdb3U8zt3dFt/GCx52cNm6v75e/3p5Cb/B7TeCh62t69zdzbrO29v1Xy77+Q3utxM87OBwmJeX7xP+4TgztvTwcZ1O83qb8A8bXW0neNja5az+8jLn64Q/Pz1uFLwLMGAfp9O8vV0P7U+bfDkzJjzsZVnm67frtH/6zxa3X4wJD9u7RP7XX9erqdf17vi00dKHdeP/+QLyLq/f/vhjfvtt/vxzvn6dz5/nxx/nfJ67d95zCx5CbOlhH5dfvLkM3Pv7d5/tFyY8hHhKDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyF/A8uI40Wq3sJyAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e4aa55c45efc84e10151f9b16eda04212766838abe6d1005f34c3107ada16f9f"} +{"episode": 38648, "episode_seed": 1598661004, "split": "train", "timestamp": "2025-09-15T23:25:13.398950", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1598661004, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "action": "('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7klEQVR4nO3dO4ic5R7H8d/srlGi0cRLDEiIoLFQEFSQGCxFLMQLmsJeLKz0dFGbIAQRRO0kqCntFEWI4BVEFIkgwYidhSDGeNnV3dXsZeYU7zjJkXMsDplnJvv/fKrJNPPuku/+n3nf553pDQaDADXMTPoAgHYED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA9ToN/PYNDgdeYavAbwTwaDzDQavSY8TFqvl++/zw8/JBn3nBc8TE63kl9ezv335/XXk2RtbawvKHiYnF4vvV5efTWff57Nmxu8oOBhQgaD9Ho5dixPPZVeL+vrDV5T8DAhvV6Wl/PYY1lYyLXX5rbbGpy9EzxMQr+fJG+8kQ8/TJInnsj112d9PbOzY33Z3qDJ1T/gP3Tr+RMn8vTTWVnJoUPDZ8ZM8DAho8IXF3PhhUkEDxvR+npmZoZ5j38Zfybv4aGh7lT80aO56aa89tqw/IZD14SHVgaDDAY5dSoPPJAjR7JzZz75JDt3pt+3tRY2opmZvPRSjhzJBRfk6aezc2fLjfQx4aGR7hTdV1/l9tuzsJB9+3L4cC644PSb+SYED+PX1d7v58478/772bUr776b3bsbn7GLJT200J2re+65fPBBZmezf392787aWuPaY8LD2HVj/IsvcscdmZ8f3hjXfLZ3THgYv8EgmzZlz55cfXWefz5JyxN1ZzLhYcy6bfMzM1lby9df58YbJ3gsgocmRhtpm+yZ/18s6WFsum02jz+eo0eTZH096+sTrD2Ch3Hp99Pr5dChvPBC7r47n36a2dmWu2j/K8HDGHS7ZY8fz4EDSbJnT265JYPBRM7Mn0nwcLYNBun3s7iYf/0rP/+cHTty8GDOP3848ydK8DTV3T+ywa2vZ24ur7ySjz5KkgMHcv316fcnPt7jLD2cZWtrmZvLl1/mrrty4kTuvXf4+dMTuvD+N4KnkfX1/PFH+v2sr+fii6dh2o1Bd8ltYSEPPZQjR7J9ez75JNdeO9lLcWeair86bGzdRvKPP86ePbn55uzalePHk7F/ycokdD/SiRP59tv0ejl4cKpqj++Wo4GugoWFYee9Xn78cbJHNE79fq67Lu+9lzffzIMPTvpo/k7wjF033i65JJs2ZXU1SU6cSCa85WwMRh9lMRjkqqvy6KPD56fph7Skp5GLLsrWrcOz9F3wG0q3he6dd3Ly5PDW99XVKXzTInjGrptwW7bkkkuGz2y04Lt7XY8dyyOP5NZb89lnmZnJ7OxUzfaO4Gmkm/CdDRV8dzPcn3/mySfz3XeZn8+WLcl0reRHBE8jZwbfnbSbvgXv/6XbMPvyy3n77SR55pnccMPUnp8QPGPX/c8/M/gffpjc0Zxd3f65b77Js88myT335OGHp7b2CJ4GunNYs7Ong19YGD5/butOy6+tZf/+fPddrroqBw9Owy1x/0DwtLC2luR08Kur+e23xt+5Mga9XgaDHDqUt95Kkv37c8MNwy+TmVbTe2RsPNu2DR+srGyUt/GLi3nxxfT7ue++4WJ+imuP4GmjW72Pgl9dzU8/TfBwzp4tW3L4cPbtyxNPTMkNsP/MTjva2bYtmzZlZSUrKzl5MtkAEz7J3r3Zu3f4eOpvCTLhaaEbe1u3Dr8HfUMF3+9nbe1c+UkETwtd8JdeuhGDn5nJ3NyUr+RHBE8Lo/fwmzcPn+mCpzHB0862bcMJnw222e7cIXha6K5Yj97DJ/n11+HztCR4Wuj1hneUjZb0i4tJpnxb2gYkeBrpbiob3SG7vJylpXN/s925RvA00q3er7hi+M+lpfzyywQPpyjB09SZwXdv4034lgRPI6MJPzeXJMvLJvwECJ5GRsGfd16SLC1lfj4x4dsSPE1dfnk2bUqS5WVL+gkQPI2MJnwX/GAwXNILviXB00gX/PbtwyV9/tp7Q0uCp53BIJdddjr47oOupvsDIzYav2wa6T7Zbm7u9Ga77qSdzXYtCZ7WRpfi5+fzxx+20zcleFq78srhg/n5/P574rxdQ4KnnW6Yj4JfWBjeQkMzgqe1UfC//mrCtyZ4WjtzSW/CN+ZTa2lntKTvHiwtZWkpMeEbMuFprQu+uxr322+TPppiBE9rV155erNNdynelblmBE87o+30o8023ffP2GzXjN80rZ1/frZtG37i1c8/JyZ8Q4KntZmZ7NhxesKvribO27UieFrr9bJ9+/DxyZP588+JHk0xgqe1Xu/0pfiffsqpUxM9mmIEzwQIflIEzwR0wfd6OXlyGLz38G0Inqa6sLu9N+edl8VFE74pW2uZgO3bMxhkZSX563NvaEPwTMDu3XnooVxzTbZuza5dib03rfQG3jxBGf6uQiGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodC/g2HXk8Zm2AvDgAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "action": "('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "action": "('move', [3.1157588224335684, 1.1708742542963768, -19.28545697123219])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a3966cda205e3dd2e1bf6caf31be31c21d6984f60e41e8b1ccb86eb150c5c0c5"} +{"episode": 38649, "episode_seed": 2949386255, "split": "train", "timestamp": "2025-09-15T23:25:14.030932", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2949386255, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "action": "('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "action": "('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "action": "('move', [-9.415817669174425, 0.9353409485647027, 0.7334859859450281])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHxElEQVR4nO3dPW8c5RrH4Xt21wRjEJEDEikRBS8NJSDRIkFNwUdIgaigQPR8CL4DDQVIlESiQQJRQoOgoYPChSFmPXOKZ896sy+WzilCnvyvq3J2plhF+vl+ZvZZzzBNUwEZZv/2GwAeHMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDkMW//Qbg/zVNNU1VVbP9c2t9vKqGoYbhQb2xh9gwrf9LgEedCU+37t2rs7Oapnr22a3xPY41m9Uvv9RXX9Vff9V8Xu+8Uy+/vHo9meDp0HJZi0V98019+mnN5/Xll3V8vHm8hf3DD/XBB6tXTk8FXyV4utSuQ3//ve7eraq6vNx71slJPfNMnZ3V44/XY489wLf3EBM83To5qcWipqmWy73Hh6GWy7q4WP1A+ViOLrUr9sWiZrMax/rnn71nzWZXl/bj+KDe28NN8HRrPq/ZrKap/v577/F18IcXAXEs6enW0VE98UTNZquap2nrXv06+HE04VcET4fm86qq116rL76oaarnnquqzdrbj7PZ1T15wTeCp0Mt6NPTevPNa86az6+W9IJvXMPzyNq8hm+f3NlWasLTrfPz+vXXOj+vF1+sp57aPe4u/S4Tng61ef3zz/Xuu/XGG/X991V7xvd6ST+Oh/bmxBE83RqGOj+vy8u6d2/vcTftdgmebi0Wqx2zFxd7j68nfB3cfRtH8HTr6Gi18ebwhBf8FsHTofXW2sWi6uCEd9Nul+Dp1tHRagfO4SX9+hrehG8ET7fahB+G3S/P7O60E3wjeLo1n9dyWdNU5+eHjruG32LjDR1qHT/5ZN25U7/9Vq+/fs1ZjWv4RvB0qKV8clLvv7/94obNm3ZtV46ttYKnZ5eXNU33Xaxv2FzS+z58I3h61u7SH2Cn3S437ejQ+hETn3xSb71Vn322evF+PoffZcLTp/b3be7erW+/reef33uKu/S7THj61Ob5rVs1n6/22+0w4XcJnj6tF/Drb8vt+3rs+hreTbtG8HRoPbjtpf8fCZ4+tYIP7KX3RywPETx9agv49iyKA+t1N+12CZ4+tZQvL2sc648/9p7i+/C7BE+fWsovvVSvvlqvvHL1yobdCW9rrc/h6dPRUVXVxx/Xhx+unhW9E/wwuGm3TfD07Pi4jo/3Du62xX7zn7Xnd0IcS3r6d6Dj+fxqr73FfGPC06dxrNmsfvyxvvuunn663ntv62GSbcJvfT3WhDfh6VO7C/f553XnTn30UdX+Ie4afovg6dnx8fVTe2vCI3h6tlhcPRr2/vJb4Vs77YYhvXzB07P25JnW/P3Ph9+6aLekbwRPz1rw47jaTr8zvt202yJ4+tTabdtv1sEfOKtM+P8SPD27cWP1/ZmdZ1FsjfTwS/c1wdOzcazlss7Ornme5PrEsqS38YZetT10b79dX39dN27UrVtVtbXxpja207uGbwRPn1q7t2/X7dvXnNX+bn1VXVxY1VcJnr6tP4Q/8AfqT0/r5s0ahrp5c7UZN9ww+b3Ho6jtrP/pp/rzz1os6vS0XnjBkl7wkMSSnkfZ5sfv1vNlwkMUv/QgiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8A8qpqVuzDXw8AAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9cce04c7fa7ca81bf7d2a4327c0590ef6e525130b419b5b7b5a382d3c48d84db"} +{"episode": 38650, "episode_seed": 1860493325, "split": "train", "timestamp": "2025-09-15T23:25:15.030218", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1860493325, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "action": "('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "action": "('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "action": "('move', [0.9372964646616371, -3.4544887840719483, -4.253640075323848])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "95af90bc03cc815ffadc298e07c71dcbdcdcd78cd5b9f5280daa5abc3e9261f7"} +{"episode": 38651, "episode_seed": 3994322321, "split": "train", "timestamp": "2025-09-15T23:25:15.677392", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3994322321, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "action": "('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKtklEQVR4nO3db2hV9QPH8c8592wzSzf/tc0yicoxfDClyP5ABPUo+ocRSj4ok0yzUAyiQnpQSEQEWbaelBlZc4X9oVYWFBhURAb1QAoikCaka07Xna5t95zTg3N0/vz5m/Xr93O75/N+cRki917OFd/ne873fHdukKapAHgIx3sDAJw5BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBI9qlaZKkvHeiGpD8KhKaaogUBjS/N9D8Kg+SaIg0MCAursVhkrT8d6g6kHwqDJpqjDU0JDWrdPixfrpJwUBzf9VQco/FapH9r+1t1erVunttyVpwQJ9+KGam/ODfIyNER5VJjt1//lnSaqr03ffaelSlcsKAs7nT4/gUU2yqmfMUEeH5s3T0JBqa/X551q2TIODzOGdHsGjyoSh4litrXr1VTU1aXhYUaT339fKlRocVJJwPj8Wgkf1KZUUx7riCnV0qKFBSaJSSdu26eGH80Ge5v8TgkdVypq/9lq98oqiSEmimho995w2blSpNN4bN4ExS48qVqkoirR1q5Yvl6QwVBDo+ee1ejWT9qfGCI8qlo3td92lZ59VGOan92vXavt2BYEqlfHevomH4FHdslU3a9dqwwbFserqVKlo1Sp9/LGiiOZPxiE9ql6aKk0Vx1q3Tu3tqq3VyIhmz9aOHVq0SEmikHHtGIJHEWSX348c0YoVeuutfGy/8EJ1dam1leZHETwKIqu6v1+LF+uzz1RTo5ERtbZq505dcAHN5wgexZHNzPf06MYb9c03qq3V8LAWLdJHH2naNJqXmLRDkQSB4ljnnquODrW0aHhYNTX6+mstXar+fhbeSgSPgskW5Fx0kTo7NWeORkZUKumTT3TvvSqXuUkOwaNwsubb2tTZqVmz8kV4nZ169NF81a3zWSzBo4Cy5q+8Ulu3atIkVSqqqVF7u558Ml94a9s8k3YorDhWqaQ33tCyZZLyGbtNm3T//b4TeJYfGh5KJaWp7rhDmzerpiaftHvgAb3+usLQdBEewaPg0lRr1mjDhvxkPgy1cqW6uhRFiuPx3rgzjkN6FFw2Mx/HWr9eL7yQ/77N9Ol6911dfXV+2O+D4FF82eT8H39oxQp1duYLb5ub1dWlhQu9zucJHhayqo8e1W23aefOfBHevHnq6tLFFxs1T/BwkS28PXxYN9ygr77Km7/sMn3wgRobXZo3+IiApGO/Od/QoM5OzZ+f3/1y924tW6aDB10W3hI8jGR3uZ4zRzt26JJL8gU5n36q++5TuSyp+M0TPLxkt8FqadG2bTrvPFUqqqvTm2/qkUfyr6wrdvMEDzvZqpvLL9eWLZoyRUNDqqtTe7sef1xBUPBvqmPSDqayK/Dbt+vOOzU8nC+/f+YZrV9f5Ak8goevbN7+xRe1dq3iOD+Y37JFy5fnN8AunoLux4C/Jkm0erUee0xJoihSGGrVKr3zTmEX3jLCw1p2u9sg0IMPatMmhaHSVFOnascOXXddARfeEjzcZYvtKxXdc49eey2/+2Vjozo7dc01StNCnc8X6KMA/5VsZr6uTlu26OabNTKiMNSBA/r++wJ+WRUjPCAdW2xfLud3vH36aa1Zk1+ZL1L2BA/8i3379MUXWrIkvxpfpNpF8MApFW+6LlPES43AP5Ak+SW6QmKEB4wwSw8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMBKN9wYA/ztpqiRRkkhSEOQ/jz8gBWmajvc2AGdQHCtJRncBZrsDgkdRxLFeekn79qmpSVOmqL5eDQ2qr1d9vaZPV339WK+tVCSpVBotP9spSAXbFxA8ql+SKAx16JCuuko//pj/ZRRp6lQ1NOicc7RwobZuVaWiKNKXX2r3bjU2atYszZyZP2prx3r/Exs5qf80ra49AufwqH5Zcmmqm27SzJnq61N3t8pl9fWpr0+SokiS4lhRpI4Obd6sKNLkyfnj7LN11lmaO1dPPKGWFkkql/Xtt2puVmOjGhrGSrqqahfBowiy6qZN08aNGhlRHKtS0dGj6unR/v3q7lZjoySVSvnzp0/X0JAGB/X776NvsmePHnoo//MPP+j66zV5ssJQkyapqUnnn6+mJs2cqdtv16WX5k8rl1WpqLZWUaQoGn3/CYxDevgZGtL+/TpwYPSxd6/q67V+vWbPlqRdu3TrrapUNDBw8mtffll33y1J/f265Rbt2aOWFs2YoeZmTZumJUu0YMEZ/jR/CyM8Cuffx7CTDrzr6jR3rubOPfVrg0BtbXrvPR0+rN9+U2+venrU16cjR9Tbq/nz82ceOqRff1Vvr3p7R1/e2qoFC/I5hQmJER6W0jTfL5z488RZ+lMaGNCkSfmMQLmsXbu0d68GBnTwoPr79csveuoptbURPFBVsgU8J+0USqWxztLjWP39mjo13x1MVAQP/DVZ/8eH7jRVHOenAKc9NJgwCB74x45HNOGzn9CHH0B1mPCdHzdBpxYA/D8QPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkTw5Z0g92QVluAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "action": "('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "action": "('move', [0.4487671720187194, -2.9869533832952584, 21.133987435267784])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKDUlEQVR4nO3dXYhcd/3H8c8+uE3aNJvWSFIRciMU8aKxUtAqQUppfahYRKsJLRX1RhQUwYJQvdFIe+GFQRTEQkVFESFqG0iUgjExIDaXRS+LFaw1JsZd02yzD17MaXYTQ2z58zeZ/bxeDCFMziwT2Pecc74zc34TKysrATpMXuknAPzvCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCJ4xtrKSlZUr/STGiuAZVysrmZjIxESWlmT/SgmesTSq/dSpnDmTqalMTGRx8Uo/p3EgeMbPykqWl/Pii3nwwezenaNHs7yc6eksLmZp6Uo/uavbxIqDIcbN4mKmp7N/fx58MHNzmZzMnj3ZvTvvfe/wr6N9Pv9J8IyZ0S/s/Hzuuy8HD2bDhrz0UpaXs2lT3v3ufPKTufvuC7ZU/lqCZ8yMfmEXF/P003nkkfziF0kyMTHcv3lzdu3KF7+Y228ftl9eHmZ7RPCMtaWlHDuWvXtz5EjOnFm9f2Ymd9+dhx/Ozp2ZmUkc579M8Iyr0aB+5NCh7NuXI0cyN5eJiUxODtO7j340n/503va2TE9neXmY7TUTPONt9NmbyckkeeKJfP/7+dnPcu5cpqaSDNk/8EB278573pMki4uZnBy2LyR41oPl5aysDJEfOpTHH8+Pf5xkdce+cWPuuScf+9gwya+d5wme9eP8ifrZs/nd7/KNb2T//iSZmhp29aOR3he+kF27hoe0jfQEz7qyspKlpeFE/aWX8vvf56tfza9/nbNnV7fZuDF33JEvfSm33prXvCZpGukJnnVo7Yl9kqeeyte/nqNHh5HexESWl5PkQx/K5z6X227LzMwFrxTrmOBZz9aeqz/xRL73vTz5ZBYWLvj4/f3354EHctddScFIT/Csf2vfkDtwID/4wepIb7Rjn5nJBz+Y++/P+943bL9eT+wFT4vze++FhRw7lm99Kz/9aZJMTQ1D/s2b86535bOfzR13DA9Zf8N8wVNk7Yn6wkKOH8/evfnVr3Lu3Oo2112XXbvy5S/nttuG9/nW00hP8NS5aKR3+HAeeSS//W3m5pJkcnIY6d17bx56KLfemmuuSV7+it64EzylLjpcP3Agjz2WQ4dy5kwmJ4cL6STZsyef+MRwkL+4mImJYbc/pgRPu7XH+Zcc6U1N5b77smdP7rknSZaWhleEcSR4SJKlpeFbN+fO5Te/yXe+k5/8JEmmp4dr5m3alDvvzKc+NbyBN6YED4O1u/qzZ3P8eB59NAcODO/SjUK5/vq88515+OHV79uPF8HDBUYXzDt/on7kSL72tRw9mvn55OUrbUxN5a67sm9f3vjGC76le/UTPFzCRSO9Q4fy7W/nqacyPz+8RTczk1/+Mu94x3CSPy4ED5ezdof/5JP54Q+zf38WFvKZz2Tfviwvj9kAT/Dw343eoht9Ju/gwRw8mN278/a3j9+b84KHV2TtSO+ij+6MEcHDq3DRSG/sCB5etfGazK81hgclcKWNae0RPFQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZq0vswuWNLjE5Wu15dBmqiYnVGy5iSZ2lpWGxuIteEToInvViaSnf/W7+/Ods357rr8/sbLZsyexsZmdz442Znb3cYxcXkwyLSI2MXhQyzhesvBTBM/5GCz6dOpXbb88f/zjcOT2dzZuzZUs2bcpb3pLHHx+WiTl2LE8/nW3b8rrXZevW4TYzc7mfv7aRi/oftwtWO4dn/I2SW1nJ+9+frVtz8mSeey5zczl5MidPJhnWixktHPOjH+Wb38z0dK69drhdd102bsyOHfnKV3LzzUkyN5fjx3PTTdm2LVu2XC7psao9gmc9GFV3ww3ZuzfnzmVpKYuLOXMmL7yQ55/Pc89l27Ykq+vF3HhjFhby4ov55z9Xf8gzz+Shh4a//+EPufPOXHttJiezYUO2b88b3pDt27N1az784bz1rcNmc3NZXMzMTKanMz09FuvROKSnz8JCnn8+f/3r6u3ZZzM7m89/Pq9/fZIcPpx7783i4rAo/FqPPZaPfzxJTp/OBz6QZ57JzTfnta/NTTflhhvykY9k587/8f/mVbGHZ935z33YRQfe11yTHTuyY8elHzsxkVtuyc9/nn/8I3/7W06cyAsv5OTJ/OtfOXEib37zsOWpU/nLX3LiRE6cWH34m96UnTuHmcJVyR6eSqP1X5ML/lw7pb+k+fls2DBMBObmcvhwnn028/P5+99z+nT+9Kc8+mhuuUXwMFZGH+C56EVhaupyZ+lLSzl9Ops3X+XrxQseXpmLFoUfrRc/OgX4r4cGVw3Bw//Z+Yiu+uyv6sMPGA9XfefnXaWjBeD/g+ChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyL8Bx6+zVYRfd38AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e9d39340e60e55565374ddd89548ae2a3ade65d152df4bfd203910f47a112c82"} +{"episode": 38652, "episode_seed": 2047928909, "split": "train", "timestamp": "2025-09-15T23:25:16.345298", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2047928909, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "action": "('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALY0lEQVR4nO3dXYgVdQPH8d+cl9UyLVKM3qTM0iupECyC0lAzKyutMIXQQNewbPUi6I2syBspI+2FRcSbrA1UBEUlRbOVLDQKN7BCJUUR8aVVEd1zzsxzMfPYc/E8j+vuOXtm/H0/d7vsxZ9hv+c//5n/zAmiKBIAD7l6DwBAzyF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgkcGRZEkHT+uEyfqPZSMIXhkUKUiScuWadAgzZmjMKz3gDKD4JE1UaRCQadOacsWnTunM2fqPaAsIXhkTTyft7Vp505JmjpVuVxyko9LIXhkShQlebe26uxZDRmi4cOT36MTCB5ZEwRqb9eaNZL09NO64YbkUwCdwGFCBv3xh3btUi6nhx5SPp9cw0MnFOo9AOByBIEkrVypQkEjRujeeyUxvXceRwpZE4b66SeVSrrvPt14o8rl5FMAnRBEXO1AtkSRfvxRO3bowQc1YoTCUPl8vceUGQSPrIkipvQu45QeWRPXXi5zK64LuGiHjKhUlM9r+3a1t+uee3TLLQTfBczwyJSPPtLEiXr5ZYnNNl1B8MiCeHr/80/t2aN8XvffX+8BZRXBIwvi/fObNumvv5TP6/nnJW6/dwWHDKkXPx7X0aHvv1cY6uGHNWhQvceUVQSP1AtDBYHa2tTaqijS1Kn1HlCGETxSL74Pt2uXjhzRtddq1CiJK3ZdRPBIt/hJuPZ2tbQon9ekSRo4sN5jyjCCRxaUyxowQJWKxoxRr17JST4uH1trkXrxv+iZM9q/X4MHq18/dtd2GcEjCyi8SjilR+pduJDUzttpu43gkWJx4Z99prlztXmzgoDmu4mHZ5BiQaBSSZ9+qn371N6uMWNULrPBrjs4dkirSkVBoK1bdfCg+vXTs89KbKftLg4f0io+e29pUamkm2/W+PG8nbb7OHxIpShSsaiTJ5Nvmxg/XoUCt9+7j+CRSqWSokgbNmjfPuVymjZN4ny+CjiCSKV8XkGgbdt04YKGD09eR8303m0Ej/SJX3exd6+2bJGkKVPqPaArB8EjfeJT9wED9NJLGjZMTz6pIODxuKpgay1SKQxZsdcCxxSpFNdeLtd7HFcagkf6RJEOHNCxYyqwE7TKCB7pUyrp7bc1bpyWL09+w8KzSvgERZrEj8EePaqWFpXL+vtvSSqVVCzWeWBXCmZ4pM/atSqXdeedmjBBYr9NNXEokT7ffCNJI0Zo2DBVKgRfRRxKpEa8VX7nTrW2qljU6NGKIvbPVxdreKRGHHYQ6IEHdPSoJk5UEHChvrrYeIP0OXlSp0/rttvqPY4rEMEjrXhxZQ1wvoT0iSchaq8Bgkf6kHrNcJUeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjU0MVvOeHrTlKC4FEr8ddAnj2b/EjzaUDwqIkwVC6ntjaNGqUVKxQECgKFYb2HZY/gUX3x3H7okGbN0u7dmjFD776r8+eVy6lSqffgvBE8qi/+GsjVq/XDDyoUlM9rwQJNn67Dh5XP03w9ETyqL59XGOq55zR/vsplVSpqaFBLix57TLt3K5+XWNLXCV8XjZqIJ/ko0rJlamrSuXNqaFBHh66/Xs3NmjxZ+vc6Hz2J442aiGsPAs2cqQ0bdMcd6uhQsaiTJ/XMM/rgg2RJXy7Xe6BmmOFRW3H2Bw5o5kxt2aJCQWGoMNSUKfrwQ910k8plFfjW8p7CDI/aiu/G3X67Vq/WK6+oXFYUqVDQ119r0iT9/HPyEYCewQyPnlCpKJ9XFKm5WU1NOn8+WdLfeqsWL06W9PG5AGqK4NFD4pvzQaBt2/TCCzp0SMWiSiVddZXeeENvvZX8DZfxaorg0XOiSFGkXE779+vFF/XddyoUkut206Zp6VJddx1L+tri4xQ9JwiUyykMNXiw1q/X7Nkql5XLqVDQl1/q8cfV1pZ8BDAN1QjBo6fFzffpo88/1yefqHdvlctqaNCOHXriCa1Zw2W8GuKUHvVx8fR+40Y1NurgwWRu79NHb76p119P/obLeNVF8KibKFKlokJBv/+uWbO0ffs/S/rp07Vkia65hst4VcaxRN0EgQoFVSoaOlTr1mnmTJXLCgIVi1qxQo8+qr17k914zErVQvCos/hJm7591dysRYvUp49KJTU0qLVV48Zp3bp/Nueh+zilRypcXNKvXat583TgQHKXvlcvLVyo+fMl7tJXA8EjReKb8Hv2aO5cbduWnPBHkRobtWiR+val+e4ieKRLqaRiUSdO6LXXtHx5sqTv6NDo0friC911lyoV5XJcve8iPi2RLsWiKhX176/mZi1cqEJBHR3q1Utbt2rsWG3alLw/gyV91zDDI43i/8og0KpVevVVHT6cPGxTLOrjjzV7dvJ6vDh+dB4zPNIofswmijR5stav18iR6uhQoaBSSXPmqKlJp04pn+f9GZeNGR6pFl+lO3ZM8+Zp5UoFQdL52LFaskRDhzLPXx5meKRafOo+cKCWL9f77ysIko33336rCRO0eTOvxLw8zPDIgIvP0q9ercZGHT+eLOmvvlqLF2vWrORvuGN3SRwhZMDFkidN0pYtuvvuZEl/7pwaG9XUpNOneSVmpzDDI0vi5+dOnFBjo1atSl6bFYZ65BEtXaohQ+o9vtRjhkeWxK/E7N9fX32ld96RpDBUQ4M2bdJTT2njxmQxzyz2vxA8MubiHfgFC7Rypfr3V0eHevfWb79p48Z/3oeP/4pTemRSvNMul9Mvv2j6dP36q0aNUkuLBg4k+P+H4JFVFx+wO3JE772nGTM0ciTX6i+B4JFt/zmfM7dfEh+GyLa48DCk9k5hhgeMMMMDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4Fp2f/vSCfcU4AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "action": "('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "action": "('move', [1.0007180221013645, 9.058490328629903, -35.10740908530236])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d2dceffe43bd97288246e939088e212f737ef5f07465abc40d677d9400960101"} +{"episode": 38653, "episode_seed": 4054372487, "split": "train", "timestamp": "2025-09-15T23:25:16.998436", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4054372487, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "action": "('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKVklEQVR4nO3cS6hV9QLH8e/ae3vLbNYkrYFkPiAjiwoTQi2NIsVyUEFhA4sQKrBRk4waBDlpFA16URFBkR5J7EWF9vJkgYUNlF5QPrITFZTKOXvvdQdrUafwXroQd++zft/PyL09g79yvvv/X//9X6soyxJJGVqDHoCk/x+Dl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwGkr9Pv3+oAfRQEVZloMeg/SflSVFMehBNIczvIZPWfLEE2zdCtS1O9v/Q5zhNUyq+Xz/fhYsoNPh2mu5/34uuICWM9M/w/9HDZ+xMS68kG6XbdtYvJiNG9m3z0n+H+EMryFTTfInTvDYYzz7LHv3AlxyCR9+WM/zVfnt9gDHOHU5w2vIFAX9PqeeysaNbNnCgw9y9tmsW0e7Tb9PUdBu17U7V/3vnOE1lMqSbpdp0wAOHGD2bKZNoyj45RduvZXVq1m/vv7J6lPAnfy/xxleQ6komDaNfp+yZN48/vUvul2ARx9l2zZuv52lS9m5k26XVouioNcb9IinBoPXEKtirrKvlvEXXcTll1MU7NrFsmWsW8cnn4CX9H+XS3pNQU89xZNP8sEHAKedxh13cMstXHgh4Nr+vzN4TSnVFn2rxdgYzz/PY4+xfz/ATTfxwgt0u39M9ZZ/MgavqWbyft6XX/Lsszz9NE8+ycqV9Pt/OqJT/W5b/iQGr6lp8oX94cPMnFl/gb9vHxs2cPfdXHdd/aHQ69V7AXLTTlNVq1V/Mw/MnAnUG/WbN/Pee9xwA6tWsWsXExP1j3lQDzB4TW3VAr5apVaz/Zo1LF8O8MYbLFvGhg2MjtJuexq/4pJejTM+znPP8fjjjI4CnHEGN9/M+vWcfz6kX9IbvJql26XTATh4kK1b2byZb78F2LSJBx5gYqK+sE/dzzN4Nc7kbfxDh3jkEV59lW3bmDOn3sb/Pfu8/TyDV0NNPmP/66+cfnq9jT8ywkMPsWkTV1zBaadRlvT7OQf1DF6N9vsTsqrf87Jk8WL27AFYu5Y776x3+KrN/ICNveb/CxVt8nK9+vM997ByJcCWLVxzDbfdxugo06bRaiXcb+sMrzw//8zICI88wmefAcyaxdq13HUX8+b99axe4xi8wvy+Y3f4MC++yMMPc/gwwDPPsG7dH3/bUAavPJOP5R49yn338c03jIwwfXrjn4pt8Eo1ue1ej3a78bVj8FJC579r8v6E9LfE1I7BS1EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOAbpdej3x/0IDTEOoMegP4Z3S5FQbs96HFouDnDN0SnQ7vNm2/y1VeA87xOzuCboNvl3nu57DJuvJHnngMoCspy0MPS8DH4Juh02LGD3bv56Sdee42xMYpi0GPSUDL4hrjhBtptOh127+brrwFneJ2EwU95VdirVtHr1RP7u+8CTvI6CYNviDlzOO88JiYARkYYH/cyXidh8FNeNZPPmMGaNUC9qv/uu8EOSkPK4Jug16PVYvny+uXEBK+/7vSukzD4Jqgm+QULWLiQbhfg5Ze9htdJGHwTVJfrs2axbFn98qOP+P57L+P1VwbfBEVBt0urxeLF9enaY8d45RXwyJ3+zOAbotUCuPhi5syhLOn12L4d/DZef2bwDdFu0+sxdy6LFtXv7NvH4cO0207y+oPBN0e/T6vFkiX1bH/oEG+9RVHQ6w16ZBoaBt8c1dX71VczcybA8ePs3AkeudMkBt8crRa9HvPnM3du/c7evRw9Sqfjql41g2+UsqQsWbGCoqAo2LeP0VHAVb1qBt8o7TZFwZo1TJ8OcOIEH38M0Gq5XS8w+IapTtosXMi559aFv/MOY2M++ko1g2+mNWsoClotRkf54gvwC3kBBt9U111HWdLpMD5eX8a7Vy8MvnmqsOfPZ968+vb47ds5ftxz9QKDb6rp07n++nqS37WLI0cGPSANB4NvoOrI3VVXAbRajI/z1luUpat6GXxzzZvHggWMjwO89JK1Cwy+karL9TPPZMWK+uUHH/DDD4MeloaAwTdQdcNMp8OSJfXLY8fYsQO8PT6ewTdTtYBftIhzzqHfp99nZAQMPp7BN1OrRb/P/Plcemn9zqefMjZGp+OXc9EMvpkmP/Squj3+yBHefJOyrJ9yqUwG31idDsCVV3LWWQDHj9fPw1Ayg2+s6vb4887j3HPrd/bu5ccfvT0+msE3WXXYZunSemL//HM+/NCHXkUz+Carrt5Xr+b00ykKTpxg927wRppgBt9k1XMvLrqI2bPrzfn3369X9e7VZzL4CKtW1bfH79nDgQPgF/KpDD7C2rWUJe02v/3Gnj3gqj6VwTdcFfbChZxzTn17/I4dHDvmU+5CGXyEU05h7VqAdpu33+bgwUEPSANSlH7OZ+h2OXECoN9nxgwfaxnK4KUgLumlIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4Kci/AbRTaU/BjaCPAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "action": "('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "action": "('move', [1.4150182656708619, 3.667858377038382, -45.354382206516675])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a4b489c7d30cb55c516dadd85ea04d1b48d6a57c2080b035634c78b6fc71ecb1"} +{"episode": 38654, "episode_seed": 2484619362, "split": "train", "timestamp": "2025-09-15T23:25:18.002257", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2484619362, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "action": "('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "action": "('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "action": "('move', [6.362342484788613, 5.975042162027592, -23.841090036635887])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "455aac4194a46f3d0142494223814cfaf9f0df5709856aa75a540065179ebf2f"} +{"episode": 38655, "episode_seed": 772005054, "split": "train", "timestamp": "2025-09-15T23:25:18.643165", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 772005054, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "action": "('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKC0lEQVR4nO3cXYjcV8HH8d/sS8WSqMVYtChVqiioVSqtQVDQSlNFiaCR1kbFkIuIRBT02ksvemOpYILSi0YUQiyavkSk4Eu0YhRfYqtIRNFoLdEWRYsxuzv/52KnScwjPg/JpjOb3+dzlYQdOJD9zjn/c87MaBiGAB3mpj0A4OkjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgi+EbDkKWlrKxMexw87UbDMEx7DEzNykpGo8x526/hv7rL6tv7PffkQx/KQw9lfv5M7d75G5jhu4zHmZvLG96Q738/z31uXve67N6dt70t8/NnfmA0ymg01VFy0Qi+yMpK5udz6FDe/vYz/zg/n1e+Mh/9aLZuzaZNSTIMk5+U/aXHkr7RG9+YDRvO/PXo0ezcmde8Jp/+dI4ezWiUhYUkWVqyzr/UmOG7DMNk3v7qV3PPPbn//jzxRJJcdllOnUqSZz87t92Wd74zW7ZkNMowZDw+s+BnvRN8nfE4wzBp+Hvfy6FD2bcvv/99kiwuZmkpSS6/PG95S7ZuzQc+kMsuS57a0rPIX+8E32j1KX00mmT/m9/kwQdz5515+OEkmZvLeJw89Xi/bVs+8pFcccXktXb11jXB91pdrs/NTer9xz/yrW/l9tvzwx/mn/9MMlnSJ9m0Kdu3Z9euXHPN5PF+eTlzcw7w1x/Bc+6k/dBD+exnc/hw/vCHJFlYyPLy5A/btmXnzlx3XZ7znCRZWvq3k3xmn+A54+wH9Uceyb59+cY38pOfJMniYsbjyW3cm27Krbfmppty1VWJ7NcVwXOu1bAXF5Pk+PHcf3++8pU8+GCSyeH86oR/ww25+ebcemte8YrJqzzbzz7B85+dnf0TT+TIkdx1Vw4cmKwCTq/zX/KSvOlN2bUrmzefee3pwz9mjeD5b8bjjMeTjbp//SvHjmXv3uzbl7/9LTlrP3/jxlx/fT75ybz5zXnGM5L/tSPIjBA8/7dhyDCceUo/cSJ79uRLX8qxY5PgT+/nX3ttPv7xvPWteeELk6feL9zSnR2C5//rnLs3J0/mrrvyta/l8OHJMd7pdf6LX5wdO3Lzzbn++iRZWZlc9ZH91Ame87GyMlmuD0PuvTcHD+bAgck6//Qt3U2b8q53ZevWvOMdk1etLvKZIsFzns75UN2PfpQHHsjnPpfHHkvOmu03bMjrX5/t23PbbZMtwNjVmx7Bc0HOyf7RR3PffbnjjvziF//2Y4uLednL8v73Z+fOyYdwmQrBswbO+VDd8nLuvTd33pkf//jc/fwrrsiOHdm1Ky996dRG20zwrKVz1uqHD+fzn893vpPf/S45a53/iU/k9ts90k+B4Lkozj7JO3o0Bw7k4MH87GdJ8qxn5Ze/nFzL5WkmeC6is6/r/fa3+fa384Uv5FWvyp490x5ZK8Fz0a2sZDyeZP/441lczMaNdumnQ/A8Tc7+ph2mRfA8rXxV1nQtTHsAdJH6dDkVgSKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKCnxnjcZaXMwzTHgeXstHgN2wWDENGo2kPgkufGX42jEb59a+zd2/+/vck5nkukoVpD6De6tz+8MPZsiUnTmTjxrzvfVlezuLitEfGJcgMP22rK/mXvzxXXpnl5ezbl5Mns7BgkudiEPxsWFzMpz6VJN/8Zr7+9YxGGY+nPSYuQYKfAauT+ZYtueGGnDqVu+/Ok09mft4kz5oT/AwYjTIMeeYz87GPZRhy6FCOHEls3bH2BD9Lbrwxmzfn5Mns2ZNTpzLnf4c15ldqNoxGWV7OlVfmgx9Mkv37c/RoYpJnjTmWmxmr8/nWrTl4MIuLufzyaQ+IS5CbdrPnL3/Jpk1JMh5nNHIDjzUk+Bmzeg9nZSWjkWd41pxfqRmzegI/N5e5ufzgB/n5z5M4k2etCH72rC7jd+zIjTfmjjsyDIJnrQh+Vl19dZ58Mg88kCNHsrCQ5eVpD4hLgeBn1Yc/nOc/P3/6U/bvz9KSrTvWhOBnz2rbz3tedu9Oki9+MceOZX7ewp4LJ/iZtHogt21bXvSinDiRL3/ZN2SwJgQ/k+bmMh7nmmuyfXtGo+zdm0cfnVy5hwsg+Fk1DJmbyy235Kqr8uc/5zOfSWKS5wIJflatTvLXXpv3vjevfnVe8IJpD4hLgZt2M2z1Sf748QxDrr468V2XXCjBrxPLy1nwSSculCX9zBuPMx5nYSF//Wt+9avEZ2Y5f4Kfeaufovnud/Pa1+bd784f/5gkKyvTHhbrkuDXiYWFHD+eRx7J/v3O5zhvgp95q7t0mzfnlluS5O6789hjWVhw8Y7zIPj1YBgyDNm9O4uL+elPc999iTN5zofg14nRKNddl/e8J0n27Mnjj1vYcx4cy60ry8s5eTLjcTZs8H04nAfBQxGzBBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5HyPbfJ3444RdAAAAAElFTkSuQmCC", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKEElEQVR4nO3c3YvcZ93H8c/MziY2KILa+FSJElBUrE3FEj0qqdIGwRy01hAaSwMeaAl45KkH/gNasDQg0lYlELAtJa3VQltBxKSCD6kVrZ40xMZUaUFL87A748GMeehNue8m8d7Z/bxeR8vuLFyw++Z7zfX7/WYwmUwCdBiu9AKA/z+ChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKC5yJNJplMVnoRvEGjlV4Aq894nCTD/wyLySSDwQouhzfAhOcNWF7O8nKGwwyHOXkyzz6br389W7bk5ZdXemX835jw/O8mkywvJ8lolCTHj+fw4dx3Xx58cLarP3gwt91m1K8Cg4n3Yby+yWS2gV9YSJJf/zo//Wkeeii//OXsm8NhzpzJBz+YP/whg4Hg550Jz+uaTuxp6g89lAcfzFNP5fnnk2RxMePxbId//fXZtUvtq4MJzwXG4wvSfeml3Hdf9u/Ps8/mX/9KkoWF2fZ+/frs2pXdu3P11Xn721dswbwhJjzJf7bug8Hs7P3UqTz3XO6+Ow88kBMnLrj8NhjkAx/Inj3ZvTtXXTWb/8vLsy+YcyZ8u+mB3Nmt+7FjefrpfPe7eeSR2QvOjvSNG3PNNfnSl3LrrVlcnP30NTsC5pzge01TX1iY5XroUJ54Ivv358iRJFlczGSSpaUk+ehHs21bdu7Mpz997ncTna8+gm90fq7Ly3nggTz8cB5/PH/7W5KsW5elpdnh/Pbt+fzn89nPZvPm2YvPbvtZjQRf5DVj+cUXs29fHnkkv/1tXn01OW/3vmFD7rgjt9ySLVvy1rcmyZkzGQ69UV/1BL/2TQ/khsNZ6mfO5MiRfOc7OXgwJ05c8MqFhWzenC9/OV/8Yt773tkkX1qa3VrHGiD4tWz6Jnw0mqV+7Fh+8YvcfXeeemr2guFwtnW/8spce22++tVs3+5Abi0T/No0Tf1suocO5fHHc++9+ctfkmQ0One37Mc/nuuvz+7d+cQnLvh1na9Jgl9rpk+tTnfgr76aH/0ojz2WRx/NSy8lybp1OX169sodO7J9ez73uVx1VeJAroPg14jXzOTnn8/3vpef/CRPP33uuZfpNba3vS23354dO/LJT2bDhiQ5fTqjkdQrCH7Vmx7Inf368OHcdVeefDLHjyfJYHDucP7DH87evdm+PZs2zV5/5szsARhKCH6NeOGFPPFE7rorv/rVuQ+oOHsgt3Vr7rwzn/nMuetq08favVFvI/hVbHqK/qc/5Yc/zL335ujR5Lxr6Um2bMm2bdmzJx/5yLnfciDXzMMzq9jychYX87Of5ZvfTJL163PqVJaX86Y3Zfv23HRTbr559hzb+fNc7c1M+FVseiB/6lSuuy7PPJMk73xn7rgjN92UT30q69Yl3qVzIRN+FZseyF1xRXbsyLp1ufPObNuW979/9tNp6mcvxUNM+DVgeo/NeJz162ffcSDH6xH8mnL+JTr4nwQPRYwDKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCL4uTEeZ2kpk8lKr4O1bDDxHzYPJpMMBiu9CNY+E34+DAb585+zb1/++c8k5jz/JaOVXkC96Wx/5pnceGNOnMhb3pJdu7K0lMXFlV4Za5AJv9KmO/kPfSgbN2ZpKd//fk6ezGhkyPPfIPj5sLiYb3wjSZ58Mo89lsEg4/FKr4k1SPBzYDrMb7wx112X06dz//155ZUsLBjyXHaCnwODQSaTXHFFvva1TCb58Y9z+HDi6I7LT/Dz5IYbsnVrTp7MPffk9OkM/XW4zPxLzYfBIEtL2bgxt9+eJAcO5He/Swx5LjOX5ebGdJ7v2JGHH87iYjZsWOkFsQa5027+/P3vecc7kmQ8zmDgDjwuI8HPmel9OMvLGQy8h+ey8y81Z6ZX4IfDDIc5dChHjiRxTZ7LRfDzZ7qN37MnN9yQb387k4nguVwEP682bcorr+TRR3P4cEajLC2t9IJYCwQ/r77ylbzrXXnhhRw4kDNnHN1xWQh+/kzbvvLK7N2bJD/4QZ57LgsLNvZcOsHPpekFuS98Ie97X06cyP79PiGDy0Lwc2k4zHiczZtz220ZDLJvX/7619kt93AJBD+vJpMMh9m5M+95T158Md/6VhJDnksk+Hk1HfJXX51bb83HPpZ3v3ulF8Ra4E67OTZ9J3/0aCaTbNqU+KxLLpXgV4mlpYw86cSlsqWfe+NxxuOMRnn55fzxj4lnZrl4gp9706dofv7zXHNNbr45x44lyfLySi+LVUnwq8RolKNH8/vf58AB1+e4aIKfe9NTuq1bs3Nnktx/f44fz2jkxjsuguBXg8kkk0n27s3iYn7zmxw8mLgmz8UQ/CoxGOTaa3PLLUlyzz35xz9s7LkILsutKktLOXky43He/Gafh8NFEDwUMSWgiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyL8BoGFkFSX+eeIAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "action": "('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "action": "('move', [-1.549829758112289, -6.3475787456001775, 46.51938017534377])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "8b79d01f005a32dd410f6026203662e646337b373cae2a412f864da2b9f552d6"} +{"episode": 38656, "episode_seed": 2463611080, "split": "train", "timestamp": "2025-09-15T23:25:19.288811", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2463611080, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "action": "('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "action": "('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "action": "('move', [-2.419218991344908, 2.954849542718193, -8.433009393783257])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "27b08be6501660919ebd8cf271a560951f5668790eed4b151e6fea70a9c9cdf5"} +{"episode": 38657, "episode_seed": 2944287249, "split": "train", "timestamp": "2025-09-15T23:25:20.292358", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2944287249, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "action": "('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/UlEQVR4nO3da4hV5QLG8WevvXdjF5Uyu4p2GQwpQrwQUwRhZnYjTEY0+pBSSlkWWGqTTDo5kCloFo5FiEaYJaOBVEYZQkNiQSWVIs0QVDJiEdQ0kzP7ss6HtZyhY0f0HI5r7f38f99mO+AL+t/v+6717rUzYRgKgIcg6QEAOHMIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOCrS7msMEx6EEivTMj/D8AGM3xViN61w1Cvv64vvpCkUinZESGdCL4qRHm/9JLmztXMmfr+e2WzrO1xIoKvfMWicjm98YYWLlQYatQonXMOteMfsYevcOWygkDvv68ZM9TdrbFjtXOnRoyIXwf+juArWamkbFZtbZo+XUePqrZWH3yg2tr4deAETAIVq1xWJqOvv9a8eTp6VBddpC1bqB0nR/CVKaq9q0sNDTpwQOedp82bNXEitePkCL4yRQdshg7VvHkaM0avvKKpUxWG1I6TYw9fgcJQmUx8HT6TUWenhg+PU89kkh0aUo4ZvqKEYVz7zp3KZJTJqFTSpZcql4t/BE6K4CtKtHVvbtYDD2j+fBWLymZVKnHXHacol/QAcMoKBeXzevVVLVumYnHgOB37dpwy9vAVIqq9tVWzZ6urSzfcoPfe07Bh8QofODUEXwmiY3NtbZoxQ52duuYa7dqlK66gdpwu9vCpF4YKAh06pNmz1dmpUaO0ZQu1479D8OkWVX34sOrr1d6u4cPV0qJx41QsprP26DYCUovgUyyqJww1fLjGjNHZZ+vFF3XHHSoU0nmhrlSKbw7SfGqxh0+96LRsoaBPP9WkSelcyYehikXl8zp2TAcOaNy4dA4TzPCpVS6rt1c//BBP5vm8Jk2S0niWrlxWuax8XgcP6sEHVVenffuY51OK4FMpuizf3Kxp0/TJJ5IUhiqXkx7WP4hGms1q40bdc4/efluFgh57TL/+msK3JhB8CkWX5VtatHKl9u/XO+/Er6csoGgCDwL99JNmzdLDD6ujQ/m8wlBffqlDhySl8z3KGsGnTHT5fds2LVqkvj5NmqRly+I/Sk3w0WojGs7Wrbr5Zm3dGv9YKGjCBH32mcaPl8RDd1KHi3ZpEj2dbs8ezZqlI0d0/fV6911deWWqnlcVTdpBoMOH1diojRsl6ayz1NenwYP1yCNqbNS55yY7RvxHBJ8aUdXffad771VHh0aO1I4dGjcuVbVH70iStm/X4sVqb1cuF1+0mzhRK1ZoyhRJqRoy/oZ/lnTor33mTHV06PzztXFjfHcrNelEtf/8s+bP1/Tpam9XPq9iUUGghQu1a5emTImfl52aIePf8Wm5NOntVWenJG3YoFtvHZhPkxbdVM/ltH27mpq0f7+yWWUyKhQ0dqyam3XnnZJ4vlYFYEmftP4TKlEue/bol19UX69SSUGQ+IW6/sX577+roUGbNqmnJ96xS1qwQA0Nuvji+IwdE3v6EXyiotpPnMnTcU6tf1y7d+vxx3XwYHxytlxWba3WrtVdd0lKyVsTTgnBJyc6jxoEeuYZBYGeekoXXjjwpLqkh1YqKZfTkSNau1YrV0rHL8XX1Oj++7VqlYYNi38z6cHiNKRii+goSiqf18sva9069fZq9GjNmSMlX3u0jM/l9NFHeu457d2rIFAQqK9P116rpUs1c+bAryU9WJwegk9OLqfWVi1dqt5eTZ6s226Tkq89ui3Q06OmJq1fr64u1dSot1flsh56SEuW6Oqr4zU8O/ZKxJI+Obt3a8YM/fabxo9Xa6tGjUp2fdx/fa6tTQsX6vPPJcXPyLz8cq1Zo/vuiz+2l88nNUb8rwg+Ib29qqvTV1/pqqu0bVv8TIuEbsJF32qRzeqvv7RypVavVnd3vGMPAtXXa/VqjRghceOt8rEsS0IYqqZGLS266SZt2JBs7dH6PJvVvn26/XYtX66eHuXz6uvTyJF67TVt3Rp/Gy0PyK0CzPDWovX5n39q/Xo1Nam7W/m8CgVJqq/XihUaPZq7blWF4JPT/zUyScQU/eVBoL17tXy5PvxQknI5FYu67DI1Nmru3PiLbZjVqwnBJyqJq3T9d/rDUKtWac0aHTkycHhu2jQ1Nem66wY+FYdqQvBe+mfsgwe1YIE+/lhSvIy/4AI9/7zmzNGgQSzjqxbBu+g/PNfTo82btWSJ/vgjvusmafJkrVunMWMkPtxa1QjeQv/6/JtvtHy5Wlul40dlL7lETz6pxYuTHSDOEIKvfv0zdkuLXnhBP/4Yf449DDV1qhobVVeXkiP8+L8jeAsdHXr6ae3YIR3fsQ8apKYmzZ2roUNVKMRfMI+qR/DVLLoJsGmTGhrU2TmwY6+r07p1mjBBUnqesoEzgeCrU5R6V5cefVRvvikd37EPGaInntCzz6qmhmW8I97bq1a5rGPH4kdmRUdlb7xRzc265RaJz7G7YoavWtFa/dtvVVen7m41NGjRIg0ZwhreGsFXs+j6/FtvafBg3X23xMfd7BF8lesvnOdMQgTvIPpmKCZ2iOABK6zwACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkX8BYIYUlBYe42MAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "action": "('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK/UlEQVR4nO3da4hV5QLG8WevvXdjF5Uyu4p2GQwpQrwQUwRhZnYjTEY0+pBSSlkWWGqTTDo5kCloFo5FiEaYJaOBVEYZQkNiQSWVIs0QVDJiEdQ0kzP7ss6HtZyhY0f0HI5r7f38f99mO+AL+t/v+6717rUzYRgKgIcg6QEAOHMIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOCrS7msMEx6EEivTMj/D8AGM3xViN61w1Cvv64vvpCkUinZESGdCL4qRHm/9JLmztXMmfr+e2WzrO1xIoKvfMWicjm98YYWLlQYatQonXMOteMfsYevcOWygkDvv68ZM9TdrbFjtXOnRoyIXwf+juArWamkbFZtbZo+XUePqrZWH3yg2tr4deAETAIVq1xWJqOvv9a8eTp6VBddpC1bqB0nR/CVKaq9q0sNDTpwQOedp82bNXEitePkCL4yRQdshg7VvHkaM0avvKKpUxWG1I6TYw9fgcJQmUx8HT6TUWenhg+PU89kkh0aUo4ZvqKEYVz7zp3KZJTJqFTSpZcql4t/BE6K4CtKtHVvbtYDD2j+fBWLymZVKnHXHacol/QAcMoKBeXzevVVLVumYnHgOB37dpwy9vAVIqq9tVWzZ6urSzfcoPfe07Bh8QofODUEXwmiY3NtbZoxQ52duuYa7dqlK66gdpwu9vCpF4YKAh06pNmz1dmpUaO0ZQu1479D8OkWVX34sOrr1d6u4cPV0qJx41QsprP26DYCUovgUyyqJww1fLjGjNHZZ+vFF3XHHSoU0nmhrlSKbw7SfGqxh0+96LRsoaBPP9WkSelcyYehikXl8zp2TAcOaNy4dA4TzPCpVS6rt1c//BBP5vm8Jk2S0niWrlxWuax8XgcP6sEHVVenffuY51OK4FMpuizf3Kxp0/TJJ5IUhiqXkx7WP4hGms1q40bdc4/efluFgh57TL/+msK3JhB8CkWX5VtatHKl9u/XO+/Er6csoGgCDwL99JNmzdLDD6ujQ/m8wlBffqlDhySl8z3KGsGnTHT5fds2LVqkvj5NmqRly+I/Sk3w0WojGs7Wrbr5Zm3dGv9YKGjCBH32mcaPl8RDd1KHi3ZpEj2dbs8ezZqlI0d0/fV6911deWWqnlcVTdpBoMOH1diojRsl6ayz1NenwYP1yCNqbNS55yY7RvxHBJ8aUdXffad771VHh0aO1I4dGjcuVbVH70iStm/X4sVqb1cuF1+0mzhRK1ZoyhRJqRoy/oZ/lnTor33mTHV06PzztXFjfHcrNelEtf/8s+bP1/Tpam9XPq9iUUGghQu1a5emTImfl52aIePf8Wm5NOntVWenJG3YoFtvHZhPkxbdVM/ltH27mpq0f7+yWWUyKhQ0dqyam3XnnZJ4vlYFYEmftP4TKlEue/bol19UX69SSUGQ+IW6/sX577+roUGbNqmnJ96xS1qwQA0Nuvji+IwdE3v6EXyiotpPnMnTcU6tf1y7d+vxx3XwYHxytlxWba3WrtVdd0lKyVsTTgnBJyc6jxoEeuYZBYGeekoXXjjwpLqkh1YqKZfTkSNau1YrV0rHL8XX1Oj++7VqlYYNi38z6cHiNKRii+goSiqf18sva9069fZq9GjNmSMlX3u0jM/l9NFHeu457d2rIFAQqK9P116rpUs1c+bAryU9WJwegk9OLqfWVi1dqt5eTZ6s226Tkq89ui3Q06OmJq1fr64u1dSot1flsh56SEuW6Oqr4zU8O/ZKxJI+Obt3a8YM/fabxo9Xa6tGjUp2fdx/fa6tTQsX6vPPJcXPyLz8cq1Zo/vuiz+2l88nNUb8rwg+Ib29qqvTV1/pqqu0bVv8TIuEbsJF32qRzeqvv7RypVavVnd3vGMPAtXXa/VqjRghceOt8rEsS0IYqqZGLS266SZt2JBs7dH6PJvVvn26/XYtX66eHuXz6uvTyJF67TVt3Rp/Gy0PyK0CzPDWovX5n39q/Xo1Nam7W/m8CgVJqq/XihUaPZq7blWF4JPT/zUyScQU/eVBoL17tXy5PvxQknI5FYu67DI1Nmru3PiLbZjVqwnBJyqJq3T9d/rDUKtWac0aHTkycHhu2jQ1Nem66wY+FYdqQvBe+mfsgwe1YIE+/lhSvIy/4AI9/7zmzNGgQSzjqxbBu+g/PNfTo82btWSJ/vgjvusmafJkrVunMWMkPtxa1QjeQv/6/JtvtHy5Wlul40dlL7lETz6pxYuTHSDOEIKvfv0zdkuLXnhBP/4Yf449DDV1qhobVVeXkiP8+L8jeAsdHXr6ae3YIR3fsQ8apKYmzZ2roUNVKMRfMI+qR/DVLLoJsGmTGhrU2TmwY6+r07p1mjBBUnqesoEzgeCrU5R6V5cefVRvvikd37EPGaInntCzz6qmhmW8I97bq1a5rGPH4kdmRUdlb7xRzc265RaJz7G7YoavWtFa/dtvVVen7m41NGjRIg0ZwhreGsFXs+j6/FtvafBg3X23xMfd7BF8lesvnOdMQgTvIPpmKCZ2iOABK6zwACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkX8BYIYUlBYe42MAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "action": "('move', [-2.759678887756761, 1.0668149516452934, 7.110688405579064])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK30lEQVR4nO3dXYhU5QPH8d/Mnl1fEGKpsYTIjHVlCSIMsVXowgqKklbKxUJ8WVp1C0wKQs2tvJDQ0HA1VMpcAyXfMLPUm2Qp6SLBFKwoMwjSjU0SXUXHeTldnPNf+Wv0d2bhPy+/7+dyXA8DO995nvOc59FEGIYC4CFZ6jcA4P+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgi+uuTzCsNSvwmUr0TI5wOwwQhfFaJv7TDUhx/q6FFJyuVK+45Qngi+KkR5r12refM0Y4ZOnVJNDXN73IzgK182qyDQxx/rtdcUhho9WsOHUzv+EffwFS6fVzKpAwfU2qrLl/Xgg9q/X3ffHb8O/DeCr2S5nGpqdOSInn1WfX1qaNDBg2poiF8HbsIgULHyeSUSOn5c8+err08jR2r79sHXHobcDVQzgq9MUe39/Vq6VD/8oBEjtHWrJkwYfO2JhBIJmq9aBF+Zog02t92m+fPV1KT16/XEEwrDwdQefYdks5IIvmpxD1+BooE4+sUlEurtVSoVp55IFHfJqPZMRkuWKAi0cuX1y6OaBKV+AyjEQIX792vqVEnK5TRq1CCvGq3o9/dr4UJ1d0tSfb0WLx7kVVGOmNJXlGggXrFCM2fq5ZeVzaqmRrncYKbgUe19fXruOXV3q7ZWkjo7deJE/KeoJozwlSOTUW2tNm3S228rm72+na7Y+/YwVD6vmhqdOqXWVh0/rtpaZTKqq9P69Ro3TmHIs/xqwz18hYhq37NHc+eqv18TJ+qLL3T77fH9fOEGav/mG73wgn77La49ldLmzfHtAqoPwVeCaNp95IhaW9Xbq3HjdOiQ7r13MLXncgoC7d6tjg6dO6e6Ol27prFj1d2tSZOKvjDKHTO2shdNrH/6SXPnqrdXo0dr+/ZB1h6GCgJ1dWnOHJ07pyDQtWuaOFH79mnSJGWz1F61CL68RVWfOaPp0/XLL0qltGGDxo8vOsroesmkXn9dr76qy5eVTCqb1dSp2rtXTU3xSRxUK4IvY9FYHIZKpdTUpGHDtGqVnnxSmUxxC3W5nBIJpdOaNUvvvhsv+efzWrBAO3Zo1Kh4no8qxj182Yt2y2Yy+vprTZlS9Ew+Grr7+jR7tg4dur7A39mpzk5JnK+zQPDlKp9XJqOzZzVmzOAvFtX+44+aM0fffhsvyI8YoTVr1N4uiVU6F3yll6VotF2xQtOm6fBh6T+P0Yq9WBDoq6/U0nK99lRK27ervT3etkPtJgi+/ETL8hs2aOVKnTihnTvj14uNMpnUjh2aPl0//xzX3tCgzz7T1KnKZpVMUrsRpvRlJpp879qltjZduqQpU7Rtm+66q4hReOCe/L33tHSprl6NH7Y//LC2blVjIwvyjgi+nEQJ9vTo+ef1xx964AF9+qnGjCliPS36G5mMli3TqlWS4tpbWrRpk0aOpHZTBF82oka//17PPKPTp3XPPdq7V+PHF137xYt65RV1d6umJj7o3tGhNWs0dCgL8r74ki8PA7XPmKHTp1Vfr48+0vjxRZxfia509qxefFEHDyoI4mW55cv15pvXfwCeCL6cpNPq7ZWkjRv16KNFTLujmE+eVFubjh6Np/F1derq0vz58U4banfGlL7UBlbjog02PT36809Nn65crqAF9IHTb4cPq71dv/6qoUN19aruuEMffKCWlvjsPAvy5gi+pKLabx7JC1yTH6j9k0/00ks6f17DhunKFTU2asuW+DwMtUM8hy+lMFQ2q1xOS5dq8WKdOxe/WHjtkmpqtHatZs7U+fMaMkRXrmjyZO3fr0mT4h3y1A5xD18y0ZH02lqtW6euLqXTamxUW5tU2Aab6Mshl1Nnp955R4mEgkDptKZN06ZNSqXikR+IEHzpBIH27NGyZUqn9dhjevxxqbDaoyW6S5e0cKG2bFEQKJ9XNqsFC7R6tYYPZ0EeN+IevnS+/FKtrfrrLz30kPbs0ejRBU3mozW+M2c0b54OHNCQIUqnJemtt7RsWRw/teMGBF8i6bSam/Xdd7rvPu3aFf+bFrf8EC762ZMnNXu2jh2LF+SHDdPq1eroiNcBqB0340NRCmGoIUO0YYMmT9bGjcXV3tOjp57SsWOqq9PVq7rzTm3bpo6O+EwdteMfMcJXkoGhe+dOzZunCxfi029NTdq8Wc3NHHTF/8BAUDrR0/Nb/sKNfjCZ1Lp1mjVLFy4oCJTJ6JFHtG+fmpvjjXTAvyD40on+o9Zba3Rg6H7jDS1aFG+kyWbV0qLduzV2bHyyHfh3PJYrqUJqv3BBixapu/v6eZj2dnV1aehQzrriVnEPXxmyWU2bps8/VxAom1VtrZYs0fLlEqffUAg+KZUhmdSECfE0vr5eXV1x7WJBHoVghK8AA4vzCxbo4EG9/76efrrQ03SARPCVIvotXbyo33/X/ffH2+yAQhF8xbjh4DxQBIKvJOyZxSARPGCEwQIwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwNzeYqAIWGfREAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dc9684448a319dc1e4070c33f1630a5d1df1d578811d441d25d997fd3bec184f"} +{"episode": 38658, "episode_seed": 2046579216, "split": "train", "timestamp": "2025-09-15T23:25:20.935125", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2046579216, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "action": "('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "action": "('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "action": "('move', [3.954013025894548, 2.6108522412671724, -34.68380972138141])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH7UlEQVR4nO3c348V5R3H8e/MOYsFGn9UWqKNbdp4UYWYpRogqKVKE1Rsbxrilf+M/4RJe900mpQSSbPiBdmladESocVGMRWLtDYmYFSqSDx7ZnpxDmxZL9q0LAt8Xq/LyczkuTjveWaemd2m7/sCMrSrPQDg2hE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8K6jvV3sEXEnwrKCmqb6vxcXqutUeClUleFbOxYt19mw1TQ2H1ba1uFijkfJXmeC5+hYXq6oOHqw9e+q55+rgXPf++zUc1sxMtW2NRrW46G5/dQxXewDchAaD6rpaOFxHj9bRo1VVW7fW9m399u39zsfau++a7jYeV9tW06ziSOM0vSstV1XXVdvWmTO1c2edPl1r1lx+hu+Hw7rvvmbzpm73E+2ePbVhwxUHTn6J+l9Rgucq6/tqmvrkk/rZz+uFX3R/eqNZHC+P+JZbasOGmp2tvXtrz566886lzruu+t7Mv1IEzwrqujp1qvbtq5f2jd85PTh7tu/75R2v/Ur3+GO195n20Uf7jRub9eun2ycLAYOB8q8mwXONnHy7DuzvFhbqrbfbd9+dbhwMq++mS/czg273E81TTzcPbum+d197663TfUZfVDsw518dgmdl9f304by99EbozTdrYaFee61+/7v+L+/0k1dFa9bUeFzjcVX1X13X/+CH7Y4dtW1b7dhR69ZNzzNZHZD9/0PwXCPdpZl8eOnV0Mm3+jfeqMO/bX5zoPvre01VU1UzMzUaTXe4/fZ64IF6cHa8+6nBrh/VcLB0Nit8/xvBc01NJuquq+Ggmna65f2/9ydP1ksHav+vur/9o52UP/lKb3LQbbc137yre/jh2vtMu3NnrVmzdMLJRaRpxP9fETyrY1J+3y9N+FX1+ef1+uv14os1N1cffFCffrr8qJmZ+vrXxk893e59ptkyW3fcsXT4aFRt657/PxA8q+zyD3BZqIcP16/3dUdebU6das6d6yfT/mAwec6vqn7jN+rHP2mefLI2bap7763BoKqq66bf8wwGxZcJnuvLsv77qoX5mj80Pnps8IdXu3MfNlVN09TMTH3xxXTPe+6pXbvq4R3dQw81s1uml43JdcGEv4zguU5N5urhcFrsxYt17PX++PGaX2heeXl8/tO2qmnbGg4vl99/+1u15fvN9q3d7ifb2dlVHPv1S/Bc1y4v8s3MTLdcuFDvne6PHW/276+5ufrss+n2tr38p3j93Xc33/1Ot+vx+unedvNmk/wSwXNjmJRftfRwPhrVRx/VwkK98MtufqHO/7MdjaaP+petX1/PP1/PPnvNh3u9Ejw3mMmXPMvew50/X3Nz/f593R9PtGfO1IULNbnhb5o6caLuv396CILnBvblFf6PP65XXu4PHepO/Hlw5Eht3Vrz87V2reCnBM/NYDLtd93Sa/lz52p+vjZurEcekfoSwXNT6fsaj6vvlxb5+HeC5+Y0WdtvGl/gXEHwEMQ/sYQggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wK7GrP/x6H3+gAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "be226ac8ac4067ac7a8c46da1da5e32f382dc271032008ebeebefb9cfe790cba"} +{"episode": 38659, "episode_seed": 4082204085, "split": "train", "timestamp": "2025-09-15T23:25:21.582981", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4082204085, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "action": "('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "action": "('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "action": "('move', [-0.8960072160833068, 0.9482291797826905, -58.63964345832745])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "aebbaa5d1732c2ca1decc5c8fe4b5cf3655450870b324e269211bbd946d76ec7"} +{"episode": 38660, "episode_seed": 3691657620, "split": "train", "timestamp": "2025-09-15T23:25:22.236243", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3691657620, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "action": "('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "action": "('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "action": "('move', [1.0640254859027527, 2.0618271086704856, -56.77983201145503])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI1ElEQVR4nO3dXahlZR3H8f+z9plC05FxFI1oQCTMRDMnSpsGsZpeDKUbL9IYApEQSi8KsaioIKdCjGa6qOgmQXohqShofKO0aPLGHMfBMkGbXlSqGZqBxvLs9XSxT4Ux5YxlZ/b5fT6X52rB2t/zX3utZz279d4LyDAs9wEA/z+ChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCCp8axeq/el/s4eP4tLPcBsJx6r+m0FnwKYpjw0VqrhYXavbu+8IWaTg35lc//9lCztp94om65pbZtqz17+vHH1RXvaouLBv5K1rr/6pGm05pMaufO2rixDhyoyaTOObvffkc78cSqqsGV3wrlxIaaTGpxsc46q969eWytD0M9sKu+/KVxGGo6Xe6D43ljwucaxxqG2rOnXr+hfvu76r1OP71/97vt5S9fmv+sPCZ8rtkwX7eu3vfecRz7ZFKPPFJf+mJfXKwqN/BWJhOeOniw1p83/vzhYWh13Iv6nXfVq1/dZvOfFcYpTdd7HXNMbdnS+ji2Vn/a37ZsWardLFh5BJ+uteq93nZxu/jipWdy3/pW3Xbbch8Wzw+X9Czdvduxoy68sMaxptN65SvrvvuqPJ9bcZxPlob8+efXVVf98/n8tq19GGocl/vg+J8y4an6+zqchx6qN72pHn+i+thPW9d/vGM45ZSq8ohu5TDhqaqaTGo6rTPPrCuv7DXWMLTHfj3cdFOX+gpjwrNk9pLs/v11wWunDz8yVLWTTuzbb6vz1ltgv3KY8CyZ3Z9bs6auu37Se02G+v0f29ZtS1f75sLKYMLzDL1Xa/W686c77p1MJjWdjnfe2d74RutwVgjnkEP41Gcmk6G3VlXDJz5ef3mqWlvuY+J/QfA8wyzsjRv75e/ss6/u9/yo33prnz26Y965pOdfjWO1VrsfrIsu6nv3tapat6527qzVq5cu+JlfJjz/araK/hVn1dVXt9lbdI89VjfeWFXW4cw9E55DmN2Zf/TRuuSS2r27hqFOPrnu/mGd4VX5OWfCcwiz/XBOO63e855a9YIahnryyf7pLX3RRpdzTvAc2mzt3ebNtf7ccXGxTybt29+ru38wLizUbIcM5pHgObTZzbkTTqjrr2+rVrWq2re3tm5tBw54VX6OCZ5/azbkL31He8umcTqtVava97fX9u1d8PPLTTv+k9lzuF27av1549iH6bRede54513DmjVV5RHd/DHh+U9m623OPruuuaZNp33VqvrZ/cPNX+lSn1MmPM9iNuT37OkbNvTHHx/GsdauGR94cDj1VBN+/pjwPIvWahzrpS9tH3h/m07HYVJ/2Dt8/GN99nfmi+A5LK3VFVfUa17TptNqrb76tbr33rIH1twRPM9uGOrpp+ukk9s119TQahhq//52ww01jkvbZjAvBM9hWViocazLL2+bNtVsyN9xR33z1lpY8Ft080TwHJbZ7frW6iMfqWOPrWGogwfrc58d9+2zue08ETyHa7bR1YYNddllffYKzU92tG98vdkJZ454LMcR6L16r9/8ps45a3rgz5Nete4l05/eO5z6YntgzQeniCPQWg1DrVtX131wGMdamNSvfj18/vOtrLqbEyY8R2b2edm7t2+4oP/il8Mw1AsXxvt3DS97mebngAnPkZlVvXZt+/BHh8mkhqEO/nX40IdsejcfBM+R6zWOdekl/Q0XzV6Vr+98u99+e2/NI7qjneA5Ym2o3mv1Ce3aa9vq1a33mo7DDZ+sp57yqvzRTvA8F5NJPf10veWt7e1vnY5j773uvqfdfHO1Zj+co5rgeY6GoRYW6roPTtaubccfX5s316ZNVX5q9ujmLj3P3Wz5zbZtdcYZ9eY3L/fRcBgEz3/lHz9NYeHNXPAjwPxXZl/aW3MlPx9MeAjiIgyCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/A2Hggz0MzWAPQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "551956ec03ece8e10e750d7c0afebf74afc24e30065cfb2781141c49f8ecd0e4"} +{"episode": 38661, "episode_seed": 1626308068, "split": "train", "timestamp": "2025-09-15T23:25:23.266336", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1626308068, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "action": "('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "action": "('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "action": "('move', [0.890555652980119, -4.598876303829667, 45.86647835609593])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b9010755cae82c8bb9c56ff29995bf2dee860abb95ecd2d1118b5aa59f189c0d"} +{"episode": 38662, "episode_seed": 2309685400, "split": "train", "timestamp": "2025-09-15T23:25:23.918110", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2309685400, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "action": "('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "action": "('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKT0lEQVR4nO3dz08cdQPH8c/M7oJQQLYgGmOwElIDTYwltbQejLUS25NHD/0DTDx6M6k3PXjxTzDxD9CYmGolhqo10VCTVo2RWLVaqqDpLlKgIOzsPIeZp7Utpezjo8uXz/sVQsgUNt8S3jPfmZ0fUZqmAuAhbvYAAPx7CB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheAQjTZUkStNmjyNkUcrvDyFIEhUKzR5E+NjCIwyFglZX9c47+v13SWzn/0cEjy0tC/u33/Tssxoa0rFjevddSYqi5o4rVASPANRqOndOP/6oq1d14kSzRxMygkcA+vr0zDOKY8WxPv5Yi4vNHlCwCB5bWhQpSVQq6eBB1euKY1Wr+vxzSarXmz24ABE8trpsN37PHu3cqVpNkk6ebO6IAkbw2Oqyd+N279bevfmSiYkmDidsBI+tLoq0tqbubj36aL5kelpTU4pjZvUNI3gEY98+lUqSND+viQmlKcE3jOARgGxWf/CgBgYkaW1Np08rijj9pmEEjwDEsWo1PfigBgfzJVNTqlRULLKRbwzBIwzZxnx0ND/H7sIFTU4qigi+MQSPMGSz+rExdXVJ0vy8zpyROKm+QQSPMGR77Pv369578yVffqm1NZVKNN8AgkcYstl7HOvxx/MlZ85oakpiI98Igkcw4liSjhzJv56e1nffSQTfCIJHMLLDdYcOqbVVUaQo0uSk0lRxTPObRfAITF+fRkfze1199JGqVa6NbwDBIzxHjyqKVCxqclK//CIxq980gkdIsrAPH1aa5hv27FJZNvKbRPAIz65d2rUrv1R2fFz1OsFvFsEjJFnY5bLGxvLDdRMTWlpq9rDCQfAITJKoWNQTT0hSoaC5OU65awDBI0jDw+ru1tqaokjvvdfs0YSD4BGYbFY/MKDHHpOkNNWHHzZ3RCEheAQmjpUk6u7Wvn2SFEX66Sd9/z2Xx28KwSM89brSVCMjuusupamWljQ+ni/Hxgge4SkUFEUaGdFDD0lSraZTpySC3wSCR3iiSLWaBgb08MP5km+/VbWqUonm74DgEZ5ru+v79+eX0E1P83SKTSF4BCnr/MknVS5L0pUrefAct9sYwSNI2U3pR0bU15cvOXdOKysqFml+IwSPIGWz+tZWjY7mS77+WufPc1vLOyB4hCpr/sgRFQqKY/38s775RmJWvyGCR6iym9489ZTa2iQpTfXFF6rX8/vbYl0Ej1Bl59jec49GRvJp/Cef6PJlTrnbCMEjbGmqo0clqVDQV19xA5w7IHgELLvvzdiYJBUK+vPP/FLZmL/r2+AXg+ANDGhgQKurkjQ+rrW1Zg9oCyN4BCzbje/s1NNPK4oUxzp1SgsLErP62yB4hK1eV7GoQ4eUpioUVK3q7Nlmj2kLI3iELduSDw/r7ruVJJL0/vts3m+L4BG27Phcf79GR/M35z74IH+LHrcieIQtivIb4Bw4IEmFgqan9cMPErvx6yF4BC8Le+9eFYtKEs3P6623JC6VXU+x2QMA/q5sVv/IIxoc1MyMhofV2dnsMW1VUcq8B9tCkujkyfyIfUtLs0ezVRE8tqFaTUUmr+sheGwf2dPmsltcYl0EDxjhKD1ghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAj38kXI6nXV6zc8So7Hym2Iu9Zie0nT68HX60qS66uAa5+N1wgEjzBlYV+8qAsX1Nmpri51dOQfd/zBJLnh5vXZU6ZvWilsU0zpEaYkUbGot9/WK69oxw51dqqjQzt2aPduvf662tok6exZffaZentVLqu7W93dKpdVLt/8VJpCYZ3X/+tM4dqSW4W2aiB4hCl7NOylS6pUVKlcX37xYr5jH8c6cUIvv6zWVpVKamtTa6va29XaqnJZr72mAweUplpe1ptvqqNDfX3auVO9verpUVfXOiWH1va6CB5hyp4X+dJLOnZMlYouX1alopkZPfCAWlry4CWVy6rXtbyspaUbNtGrq5IURbp0SS+8kC8slVQqqaVF7e2KYx0/ruefV5qqVtPEhH79Vfffr54e9faqq0uFguJYxWI+mwgEwSNkPT3q6bntvx4/rhdfzNcFlYqqVVUqmp1VkmhwMP+e1VXt2aOFBa2s5B9Xr+qPPyRpZib/nuVlvfqqTp++/spxnM8IRkb0xhsqlf6Z/97/H8EjcLfuWv917t3erv5+9fff9seHhvTpp6pWNTen+XnNzWluTgsLOn9ehw9ff7WhIVWrWlnRlStaXNTysmZnNTur1dX19+23Ko7SY7vL/sJv+tzQI2bTNF8jLC1pYSFvfnFR8/O67z4991y++xACgoe9NM0/rn2t/64U1j2AHzKCBzYhe1PgppWCpDgOa6VA8ICRYPY9APx9BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4D8CtIiSFw6vsAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "action": "('move', [6.47407276253443, -15.834093170737404, 34.993218210689726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGnElEQVR4nO3a0U4jZRzG4f9M2QBSGmhBsomneui9eOBteGlegZfisYlKF7YLtF3SGQ+mAnGVNbq66b7Pk8nkOximbdLfN99Mafq+LyBD+7HfAPD/ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwE2fvYbwD+oa6rptmOHwY8r+n7/mO/B/i3uq66robv8hD/X+3DCZ6ddH9fV1f14kUdHtbBwfuP32xqs9mOm+ZxCkibESzp2TFdV21bP/5Y331XTVOzWU0mdXpaJyc1Oe6Pj7rjk3Y8biaTGo/r+Hi7jUY1Gj132s2muq7qU18gCJ4dMyxJ5/P64Yc/P6Btm/G4xuM6OqphMIyPx/3xUTc97U9nzelsdHJSp6fbmWI6rcPD98wIDy/9rh2aCwTPTrq7q6pqmscIm6aqafpu1HW1WNRi8e4fNVVtVV/V7O/X0+3goPb367ODbnqymc3q7GLv7LyZTuvsrGazx327+z9qCZ4dM1xOX76sb7+t9XLz80/dr/P29c1ouEsftq57WKIP88HDJbgZxut1rdfvnrv9/cimabZ3AaNRtW2NRrW3V0eHm/Npd/Z5e34xOjuvs7M6P6/ptL76qr7+uvp+By71HtrxiZjP69Wrurysy8uaz2s+r/llf/nL5vLXfn49ur1rh8jX61qtar2ut29rtaq+76v65/8hZcj4mVC++aa+/77u7+vFiw/9qT40V3h21dMCh6d3s1l9+eXTQ5qn3/D1uq6v6+pqu23Hr/qreXe1aO7umpubGrbb23rzpm5v6/a27u+fS31YCLx8+eE/3X9E8OyqP6yfhyz/at+2tb9fFxd1cfGH07RPL++LRd3c1Js3j4NhWyzq+rpev95OE8Pg+qq/vuruVqPDw//sQ35ogucT8d4fz/r+cQp4nAv67V3+cKM+mdRk8tyrvH1by2WtVrVc1mpZy2W7XNUXX1RV7e1CTO7hoep9C4Smqbb9FJ7SCx7+rodWHqPpq69q2x14Pj8QPATZ/TUK8LcJHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8Bk4CJjSGoEo4AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "24e0175002ddc7ef5d22d6c0f48d65256586eee69433f2800ce043d5562cf33f"} +{"episode": 38663, "episode_seed": 1820503180, "split": "train", "timestamp": "2025-09-15T23:25:24.563988", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1820503180, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "action": "('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKOElEQVR4nO3dTahc5R3H8d+ZmYtcI2pTpb6E1NZoDWJUsKG+rqSUUmqpRQRxYQuibUUUhaIuRJBA07eFi26K4NKNICootBRq2vpSX4j1lVjre6s2SjQBc++cLs4xiX0BW+/k5N7/57OaOZnFs5hvnvM858y5Tdu2AWoYDT0AYP8RPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkMnQA1iBdu9O2yZJ02RubujRwD6atvtuAgWY4ZfMdJrRKLt25ZZb8uc/J8nJJ2fTpiwuZjweenCQxAy/tBYW0jS54ILce2+SHHtstm7N4YenbTOyW8IBwNdwKU2nGY9z3nmZm8tkkg8/zBNPpGniP1UOEIJfSt2p+ymnZNWqLCzk7bfz+ONp2ywuDj0ySCL4pdWdt3/5yzniiCRp22zdmqZxPs+BwjdxKTVNFhZyxBFZs6Y/sm1b3nsvk0mm00FHBkkEPwttmzPO6F9v25bnnusPwuAEv8RGozRNzjorBx2UJK+/nhdeSGKG54Ag+CXWNEly5pk56KB+6f7MM0ks4zkg+BousS74o47K2rX9rL51a95/P+OxSZ7hCX7ptW3aNuec0799/PG88cagA4KPCH4mmiZnn50kc3N59dW89lpi344DgOBn5cwz+xdtmyefTCzjOQD4Ds7K5z6XE07I7t1J8vDD+fDDfnkPAxL80uvCnp/vJ/mmyZYt+eCDxFk9QxP8rIzHffCTSf7617z55tADAsHPSHcF7tRT+7dNk4cf7l/AgAQ/Q0cfnS98oX/i1e9+N/RoQPAz0s3kRx6Z00/vj/z+9wMOB3qCn5XpNKtW9cGPRnnxxbz66tBjojzBz0TT9Mv49ev72X5hoZ/k3WDLgAQ/K13nX/xijjkm02kWF/vgXZljQIKfle6+uuOPz0kn9UceeigRPIMS/Kw0TXbvzqGH5sQT+yOvv5433shkonkGI/gZ6sI++eT+4Zbbt+fRRxPLeIYj+BnqOt+wIZ/9bJLs2JE//SkRPMMR/Ax1y/jTT89RR/VHnnoqiSfVMxjBz1D3ENtDDslxx/VHXnopf/+7ZTyDEfzMdQ+x7a7SvfRSnn46cVbPQAQ/W91DbL/ylaxalSTvvNM/09IMzyAEP1vdMn7jxhx8cH+kC97fk2UQgp+56TSHHZZ16/q3Tz+d7dszGjmrZwCCn7luT757pmWSp57KK68kzuoZguD3h6bJuedmNMr8fP72t7z44tADoirBz1y3P79xY6bT7NqVJNu2JR5iyxAmQw+gitWr893vJsmGDTn//MTjrhhC01pK7hfdn6MxqzMsM/x+0s3n3WPqx2PlMwwz/P7Ttk7jGZiJZv9RO4MTPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDB/5u2TdsOPQiYCcF/3HSapknTaJ4VSfAfadssLmY0yltv5bHH0jRDDwiWnuCTJNNp2jbjcR59NBdfnHPOyQMPJDHPs8IIPmnbjEZpmvziF/n61/Ob32TXrjz7bBLzPCtM+eC7RfuTT+bCC3PNNXnrraxdmzvuyOWXm95ZeSZDD2Ag3Vb8aJTpNKNRnn8+d92VJN/6VjZvzrp1/WdgZWnagl/rPVvxSdo202mSXHFF1q3LdddlPP7YB2AFqRf8wkImkyS55568/HK+//207cfa/pe3sIIUO6XfvTtzc9m+PT/7WW69NW2bNWvyzW/2F+QSEzsrW7Hg5+ayZUt+9KM8+GCSnHZaDj+8/yedU0CxXfrNm/Ptb/e1/+AHue++nHdekozHw44L9o8CM3y3Jn/++VxzTe67L0nWrs3mzfnOd/bu0kMNKzr4hYX+rvjJJLff3td+4YX56U/z+c/3+/Nqp5IVukvf3Rjf7cZ3Ve/cmUsuyVln5frr+w9YtFPPSgx+T8x33pkkF12UxcWMx9m1K/PzrrFT2co6pe/+82qa7NyZm27KL3+Zww7Ll76UDRuyuJj5+b0X4aGkFfTt76bxJH/4Q66+Oo88kiQnnNDP53sW81DYCtqyGo+zY0c2b85Xv5pHHsn8fK68Mlu2ZMOGvb+Hg9pWxIzXLdr/+Mds2pS7706S9etz88256KL+A1KHJMt+hu9+9Nb9+uW22/raL7kkd9/d79UB+1i2u/T7XlfrXr/wQi69NJddlu99L5NJf9s8sI/lGfyeG2buvz+f+Uw2buyP/OMfWb062WcDD9jHcjuln073tn3ttfnGN/LDH2bHjiRZXMzq1f1JvtrhP1lWwXc/Yh2N8tvf5mtfy89/noWFzM/nL3/Ze+HNTTXw3y2fU/ou5p078+Mf5yc/yQcfZG4uV12VG2/M6tXuiodPYplclutqf+ih3Hhjfv3rJFm/Pps25YILkqgdPqFlMsN3wZ97bv9T9ssuyy23ZM2aLC6madQOn9CySuWGG7J2bW6/Pb/6VV97t6QHPpllMsPv8e67/UOp/L4V/nfLLfhIHf5/y+18WO3wKSy34NUOn8JyCx74FAQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5J+2lOCW/g47HAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "action": "('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALPUlEQVR4nO3de2iV9QPH8c+5TQeGF2RSmCUasX8kEPqjOwRDREs30Uo0zbKaLltYhhpEJIYzV3ihIJtpCZVWSJkTMqHWzVhISGXISIwwwwvSNt05z9Mfz/M709/PH02dOzvn8379Jfr88fxx3n4vzy0RhqEAeEgW+gQA9B2CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMErl1MQFPokgD7hHnwQKJVSMknzsGAdfBgqmVRrq/78k+ZhwTf4IFAiof37NXWq7r9fR44omVQYFvq0gCspEVr+xsNQiYQOH1ZVlX75RZIqK7Vli8aP7/5XoPT4jvCS2tp05IgklZXpp59UVaVt2yQpkWB6j9JkGnwioTDUnXdqzx5VVursWZWV6fhxzZihFSvU1aVkUrlcoc8S6G2mU/pIECiZVFub6ur0ySfKZJTNKgw1Z47WrNHQofEBQMmw/jlHw/jo0XrnHT3xhLq6JCmd1qZNqq7WoUNs46HUWI/wkVxOqZSCQBs2aNEiBYHKynT2rMaM0Rtv6K674ubZxkMJsB7hI1HtyaQWLtRHH6miQmfPasAAHTqkKVP05ptKJNjGQ4kgeEnx1D0INHmydu3S+PE6c0YDBujUKc2bp2XLdOYM23goBUzpzxNN7//4Q3V12r5d6bSCQEGgBx5QY6MqKuIDgCLFCH+eaHp/9dV6+20984yyWQWB0mlt3arqav34Y3wAUKQY4S8gfzXu9df15JPq7NSAATpzRtdfr7VrNWlSfFsu23goOgR/YdGSPpXS7t2aP1+//aaBA9XZqfJyrV6t2lpJXKVH8eEHe2GJRLxLV1Wl5mbdeqs6O1VWpo4OLVigJUvU3s42HooPI/y/iIbxU6dUW6utW+MhPQhUU6PGRl17rbJZpdOFPkugZxjh/0V0xW7wYG3ZouXL46l+Oq3t2zV1qr77Tum0stlCnyXQM4zwPRLtzCeTeust1dfrxIl4G++aa7R2raqrFYbx6zSA/ozgeyq/jdfSooce0sGD8R245eVasUL19ZK4So/+juAvQr75w4c1Z44+/7x7Pr9ggV56SYMGsaRHv0bwFy16H05Hh2prtWlT9532EyZowwaNHq2uLmUyhT5L4EJYdF606OUZAweqqUkvvqiysngbb9cuTZ6sr75SJqNcjudq0R8xwl+iIFAYKpXStm1auFBHj8ZL+hEj9OqrmjFD4t146H8I/tLll/Q//KBZs3TggDIZdXVp4EAtXarnnpO4Gw/9DMFflvzVuKNH9eCDam5WKhXffjd7ttav16BBbN2jH2H0uSzRHbhBoBEjtGOHamvjaXwqpc2bNXGiDh1SKhW/Kg8oOILvBdHdeJmM1q9XY2M8qmcy+uILTZyovXvj5+ppHgXHlL7X5Jf0n36qRx7R77/HS/rhw7VypR5+mHfjofAIvjflmz9wQLNnq7U1vjOnrEyLFmnVqkKfH+wRfO+Ldun++kuPPqoPPogn/GGoadO0fr0qKrhch4JhDd/7otdgDR+ud9/VkiXxFn0mo23btG6dJJ6uQ8Ewwl8p+WF840YtXqyTJ3X33Xr/fQ0ZIrGSR4EQ/BWUv0rf3Bxv4I8Zw3wehUTwV1z0/Nzp07rqKmpHgRF8X8h/zYrbbFFYBN9HGNvRHzDi9BFqR39A8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjB/4/oA1FAKSL48wWBEgklEjSPkkTw/xGGyuWUTOrYMbW28uEIlCSClyQFgcJQqZS+/1733afbbtPu3ZIY51FiCF7xJ50TCb3yiiZO1J496ujQzz9LfCAKpcY++GjRvn+/ampUX69jxzRqlDZv1vz5DO8oPelCn0CBRFvxyWT8DeeDB/Xhh5I0ZYoaGjR2bHwMUFosPxed34qXFIYKAkl67DGNHavFi+MvuecPAEqIX/DZrNJpSfr4Yx0+rNra//50O19yR+kym9J3dSmT0YkTWrNGK1YoDDVypO65J74gJzGwo7SZBZ/JqKVFzz6rL7+UpJtu0pAh8T/ROQyY7dI3NKi6Oq59wQLt3Kk77pCkVKqw5wX0DYMRPlqTHzyo+nrt3ClJo0apoUHTpnXv0gMeSjr4bDa+Kz6dVlNTXHtNjV5+WdddF+/PUzuclOgufXRjfLQbH1Xd3q6ZM3XLLXr66fgAFu3wU4rB52N+7z1Jmj5duZxSKXV0qLyca+xwVlpT+ug/r0RC7e1avlyvvabBg3XjjRo3Trmcysu7L8IDlkro1x8N45K+/lqLFmnfPkm64YZ4PM8v5gFjJbRllUrp9Gk1NKiqSvv2qbxcjz+ulhaNG9f9PBzgrSRGvGjR/s03WrlSO3ZIUmWlnn9e06fHB5A6IKnoR/joobfo6Zd16+LaZ87Ujh3xXh2AcxTtLv2519WiP//6q2bN0ty5mjdP6XR82zyAcxRn8PkbZpqbNXSobr45/pvjxzVsmHTOBh6AcxTblD4Iutt+6ilNmqSFC3X6tCTlcho2LJ7kUztwIUUVfPQQazKpvXs1YYIaG5XNqrxcbW3dF964qQb4/4pnSh/F3N6uVau0erX+/luZjOrqtGyZhg3jrnigJ4rkslxU+7ffatkyffaZJFVWauVK3XuvJGoHeqhIRvgo+Ntvjx9lnztXL7ygkSOVyymRoHagh4oqlaVLNWqUmpq0cWNce7SkB9AzRTLC5508Gb+UiudbgYtXbMGL1IFLV2zzYWoHLkOxBU/twGUotuABXAaCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGDkH/ByN9JLCjdRAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIvUlEQVR4nO3dT4jU9R/H8ffO7MrOKlReIhCDMEII6dQhqmNUREWGBNJBgugvYSREdogghLZ/hw5dQugSdAkkhAKjg1JhBJ0MPQRdhf5gun9n5neYb7Pbqr9MI3fm9XgwyHdmvu6Oi8/5fL+f+X6/O9Hv9wvI0LraLwD47wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegkxe7Rfw7+j3V5YnJq7e64D1bUyCH0Te61W/3/y55qn66xvB+Q9ecDUYMxP91XGMpn6/Fhaq1aoNG/6FL3Wx94vLuAvrzWgH3+/XxET9/nvt21enTlWnU+12TU3Vhg01PV3T09Xp1MxMs/D/b9PTzZowxkZ7k34Q/NmzdfRonTjxNyu322tvk5Mry63Wyt3JyZqero0ba2amZmZq48bmjWOwPDNTnc7Ks8O7w0c2bDDUs06NdvAD8/O1uPj3q3W71e1e6feamGhiHiysvk1OVq9Xt95aH39cN91UvV61fAbCOjPawQ/am5mp++6rEyeq36+lpVpaquXl5jZcvuCDl7E30++v/VvD4Hu9Wl6ubrcmR/uHyjgb7X34i1lervn5mp+vubman6+FhWZhbq4WFpqn1jw7N1dLS7WwUAsLtbhYi4sry8M/1zyyuFi93tpvvX17HTlSN9xghGc9GofBqN9vhuvBSNtqVbtdmzbVpk2X/zV7vSbpNbeFhVpausDdwcIff9T119e111aZsWddGsMRfvgP+kcLA63WyrsGjJ8xDP4Krf55XGz5gk8Nd+a9WbBuCR6CGIwgiOAhiOAhiOAhiOAhiOAhiOAhiODPc/75MTAuBP9XvV5zuJzmGUeC/1O/X91utVp1+nR9/71zXxhLgq+qPy9/2W7Xd9/VY4/VnXfWF19UnXcAPYw4wVf1+81Zcu+9V/ffX19+WXNz9eOPVc5xZdzEBz/Yaf/hh9q5s/burdOna+vW+uijevJJwzvjZxwugHE5BlPxrVZzYZqTJ+vTT6uqHn64Zmdr27ZmHRgvkafHDqfi688r0VfVU0/Vtm310kvVbv9lBRgjecEvLzdXmfzss/r553rmmebiWENr7sIYCdukX1qqqan69dd65516443q92vLlnrwweYDuSoDO+MtLPipqTp2rF5+uY4eraq67bbmipNlQp4IYbP0s7P1yCNN7c8+W4cP1913V1W121f3dcF/I2CEH+yTnzxZe/fW4cNVVVu31uxsPfroyiw9ZBjr4JeXm6PiJyfr4MGm9p076+2368Ybm/l5tZNkTGfpBwfGD2bjB1WfO1e7d9cdd9S+fc0KdtrJM47BD2P+5JOqql27qtutdrvm5qrT8Rk7ycZrk374GyHOnatXX60PPqhrrqlbbqkdO6rbrU5n5UN4iDRG//sHw3hVff11vfBCHT9eVXXzzSu/EWawMw/BxmjKqt2uM2dqdrbuuaeOH69Op55+uo4dqx07Vs6Hg2xjMeINdtq/+aYOHKhDh6qqtm+v116rXbuaFaQOVTXyI/zgpLfB2S/vv9/Uvnt3HTrUzNUBq4zsLP3qz9UGy6dO1eOP15499cQTNTnZHDYPrDKawQ8PmPn887ruurr99uaRX36pzZurVk3gAauM2iZ9r7fS9osv1gMP1HPP1ZkzVVXdbm3e3Gzkqx0uZKSCH5zE2mrVV1/VvffWu+/W8nJ1OvXTTysfvDmoBi5udDbpBzGfO1dvvllvvVVnz9bUVD3/fO3fX5s3OyoeLsWIfCw3qP3bb2v//jpypKpq+/Y6cKAeeqiq1A6XaERG+EHwd93VnMq+Z0+9/npt2VLdbk1MqB0u0Uil8sortXVrHTxYH37Y1D7YpQcuzYiM8EO//dZclMr5rfDPjVrwJXW4fKO2Pax2uAKjFrza4QqMWvDAFRA8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPkfcJ9AVbN4QQoAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "action": "('move', [-4.901764338064537, -10.143144186513007, 37.397483263639536])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIcElEQVR4nO3dQaxcZRnH4ffM3LldiSFB0OgKjTZt3LGokiBdELBFGhaAppK0JWIIKIhgU7ANIBAKUjACO0JC2BibSLspDcVSIo3KomVBAgQ2bcJCKQkQoum9cz4Xc3uBiAYh2N75P896FmeS+c37nXO+M9O11grIMDjZBwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggj+I7RWfX+yDwI+A11r7WQfwymkteq6k30Q8Jkx4d83Hi/UvndvrVtXb71VVeX7kGki+Kqq1mp+vobDevvt2npr/721/e7ddccdFvZMG0v66vvquuq6+utf2ubN9eyBGgy6rqvxuA4cqPPOq76vgS9GpkL6B3k8rsGg+r4euL+/6ML27IFuNOr6vsbjfuPGdsYZzuqZKjMn+wBOmsnKZjisl1+uLVvqySe7qm40qrm5+tIX29131YZNQmfaJC7pW6vWFlbpjz9eW7bUG2/UJPWq/uLv1n07BsuXf+hlMB3iPs6T63CDQf39b23Tptqw4f3aT/tcbd9ef9g9WL78/ZfBNMma8PPzNTNTVbXnqfazn/SvvDYcDqpv1VqtWtUeeKBbtarK3XimV9AIm9R+7Fjb/Iu2dk298tpw2bIa97VsWd10Uz39dLdq1cJgVzvTKmLCL07s555rW7b0Bw8OTtx4a99c2d9z73DNmqqq8biGw5N7pPDZmvLgJ29uUvvdd/Y7HhwcO9ZGs93c8apqP766tm6tL3+lm+yxc8bO1Jvm4Bcn9quv1k+vHe/dN6jqZmZqfr7O+sL8g78ZXn5FNxgs3Iq3jCfB1A61yVbZubl67LE699zau284GnVVNT/fLrmkHfzz8Ps/6CZbboZDtZNiCoOfbIyfmanXX6+rr65Nm+rNNxduvJ11Zr/j/rZrV3f22Z0bbwSatiX94vW53/+uv/1X3Usv1XDY9X21VhdcULff1r71bamTa3q21i5en3v33bplS//oo/WPf3aj2Zo7XoNBbdtW119fp5/ezc/VcMYanlBTMuEXr889/6d23XXt8IuDyQDv+7ZyRf32oW716qoPbLyBTEt+Xbv4KPs777Tt97TvnNcOvziYHVXf12jUfnRV//zBhdpbUzvplvaEXzwbP3Sobr2l7Xmq67oaDmt+vn3j693WbW39+q5slYUTlvCEn9w/HwzqkUdq7dq256ludnYy8NsVl7fdu9v69d14XGWrLJywJCf84sQ+erRuvLF27qyqGs3W3PF2+ufbPdu7DRu72dmam6vR6OQeKZxalljwH3xGfefO+vmN/ZGjg+GwJpP8/PPr4YfaipVd2RgPH2UpLen7fuHn5Y4dq2uv6S+7rB05Opgd1Xhcp51Wt91W+/bVipXd5EtB7fDvlsyEX5zYz+yrm2/uDx3uhjNdtRqP65xz6t57a/FSvDN2+E+WxoSf1P7ee7Xtl+OLL26HDg9Go248X/24v+GG2rOnrV5d8/NVrs/Bf7UEJvxkaL/wQtu8ufbvb1ULJ+1f+2r79X1t3aWDsqMGPp5TfcJPrsY9/HCtWdPt39/Nzg6qajzur/xh/8wfa92lg/G4+l7t8LGc6qFMHl8dDBaeeDt+vM46s7/rztp41cCj7PC/OtWX9Iv34a68sp54oi66sL9/x2DFig/9lA3wMZ3qwdeJx+COHKldu+qaa2o08t9P8AktgeA/yJ9DwKexZNLp+8k/w6gdPrklNuGBT8O4hCCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyD/AnMoDwBhhiDaAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f9826f05915c8ef4ab75bfccbea68c7a6c39d836f316c99ca6cea521a8f1d53e"} +{"episode": 38664, "episode_seed": 2796984126, "split": "train", "timestamp": "2025-09-15T23:25:25.555360", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2796984126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "action": "('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "action": "('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "action": "('move', [-2.4046623735767665, 2.1826773570590707, -52.88619986438858])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJo0lEQVR4nO3dz4ucdwHH8c/MTpu0JtjdmlhNUvXSg/ij4h/gpUcRc1EETYmgsdJSexF6FvRSsEjBqvWiB7GCJ0E8WBAVRQWDFESpFLNJauKm1aabttndGQ8z3Y1tkkaw2e58Xi8ehoclCU929z3f7/eZZ54ZTCaTAB2G230AwPUjeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgi+J1pYyPj8XYfBDvPaLsPgP/dxkYWFpJkMslgsN1Hw05ihN9pJpMsLOTJJ3P2bAaDTCbbfUDsJILfUabT+J//PB//eI4cyXPPZTAwt+faCX5HGY8zGOTJJ/O3v+VnP8uxY3nhhQyHmucaCX5HGY0yHueee/Lgg0nyox/li1/Myy9nODS351oMJn5RdqgHHsjDDyfJ0aN59NHceKNzeLwuI/wONJlkMslDD+ULX0iSCxeyujr7oqdvrsoIvzNNB/MXXsjjj+cTn8iePRmPM/T0zesQ/I516QR+uv/889m1K7t2mdtzJcaEHWv6Ivz6+uzU/e9/nzvvzFe+ksTcnisR/E42GGQ0ms3kH3kkTz+dr341X/uaF+q4ElP6nW/6Ezx3Lp/8ZJ54Ikm+/vV86UtZX8/IpdP8F8HPhemi/cyZHD6c3/wmw2EeeST33LN11T0kEfz8mLZ9+nQOH87vfpddu/LNb+boUWfvuZTg58i0+eXlfOxjOX48o1EeeyxHjmQ8Ns4z5bl/jiwsZGMjhw7lxz/OHXfkrW/NbbfNTuZvbGz3wfGmYISfO9P1/F//mmeeyUc+sjWlt55H8HNuGv/GRv7857zvfdbz+PHPqek0fjDI+fN54IEcPpxf/tLr8wh+Tg0Gs6tr//nPPP54nnoqd9+d3/42w6H1fDPBz6/peP6ud+X738++fXn66Rw9mj/+MQsLWV/f7oNje1jDd/jJT/LpT+ff/84HPpAf/CDvfa/1fCc/8gKTST760Tz2WG65JX/6Uz7zmfz9726S08kIX2AymV17873v5d57c/583v/+PPFE3vY2b6Rt480VBQaDDIdZW8uRI3nppRw7lg99KDfdlLzyxhvN1zDC15i+SX44zK9/nTvvzFvesjW8G+drCL7bX/6SpaXs26f5Ek7a9dm8H84vfpG77srdd+f8+dnXmXeC77M5kv/hDzl5Mj/9aT73uVy8mGh+/gm+1Xice+/N/fcnyQ9/mGPHkviwurlnDd9qumhfW8t99+Vb30qSz39+tmM9P7+M8K2mn0J5ww159NEcPZok3/527r8/L72U8dg4P68EX2zzYrvvfCef+lSSfOMbefjhLCx4U928cuFNt+mifTjMd7+b1dUcP54Pfzh55bnAxH7uWMPzyqJ9ZSWnTuWDH9zuo+ENJHiSXHKizp2w5popPUleOYc3mah9vhnh2R7T6/02b8zD9WGE5w23eS3vpTsLC27AsQ2M8PwfXOWX6CoD+PJyFhezZ88bcURcnhGe17EZ86VVv2oqfpWqNzZy+nSWl3PqVE6ezKlTWV7O6dN5+eWcO5eHHsrhwz728vrxbWbmtbPu6Sv0w+Gs58tWvbaWtbWsr+fixays5MSJnDyZEyeyvJzl5Zw4kZWV2R+Ybq+6ouepp5KY218/gm80jfnSLcnCQhYWLl/1xYu5cCGrq7PH55/fGrSn4/bJkzl9+oqX513ldvgnTsyeVlzmc30Ivs5Vzo2/+GL+9a8899zWtrKSf/wjzzyTM2dmj2fPXuYvDgZZWMholMkk6+uvXtJPa7/hhiwu5pZbsriYxcUsLeXmm3PXXW/A/5Arc9Ku0YULOXNmVu/Zs7OdZ5/NuXN59tmtncvaDHtj4/IfaTEa5e1vn237988eb701t96apaUsLc12LNq3heCLTG9F/6tf5ctfzspKVldz/nxWV682Fd+8Hue1du3KgQN55ztz8ODs8cCB7NuXvXuzd2/27JltV7qQZ309GxsZjVzpc115mq0zmeT48bz44tX+zHSKPhxmNJqFffvtOXgwhw7l4MHcfnsOHcrevbnxxq3tSsbj2URgcx0x3RmNDPLbwLe8znves7WA3707u3fnppuye3duvjmLi/8V9oEDOXQo+/df61n0zbnApWf1p+f5eZMQfJFpgfv357OfzXicd787t92Wd7xjti0tXeu/89oZ/mbbvMlZwzOzsbH12thrH5kPgm+0trb14tylG3NP8FDEqguKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6K/Aeec5f/fWvK9wAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjklEQVR4nO3dT6xcZR3H4d85c+7thS6EVUMIgbCAFBaNQsJClxITIgKiJFQMLQiE2MbytyWAKIjlT2mBArYUjCJFpKQLFiTGGKOBhJXChhUJCRvSRAMSJbf3zsxxcSpGiFo2ljvf58ldTDKbk8z9zHve97znTNP3fQEZ2mN9AMD/j+AhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOBXmL7/+As4eoJfSfq+mqb6vqbTIy/gUxH8ijHUPpnUbbfVtdfW4cOa51PrjvUBcFSGUf299+r++2vHjqqqubl6+OGanz/yRQBHwwi/MkynNRrVu+/Wvn1VVatW1Z49/datfd/X8AdHQ/Arw2hU02mtXVtPPNGvXl1LS7Ww0DzySN1xe9+2zu05WoJfMZqmRqNav77ZtbPvRrW4WHPzzfb7+rt/2A/vap7/qen9m6wo02m1bT32WH/DDTWZNE1T0+l0+/Zm27ZmeAv+C8GvPMMq3UM7+q3bqqoZ1vN27aotW2o8rs46LP+ZEWFFmkzqppubH9zVTyZ901TX1Y031p491XU1mRzrg+MzzAi/IvV9jcfVjer2O/rt25u2rbattp3u/UltuKodtuW4VscnCX6lGs7kq+rWW2vnzhqNqu+r6yY/far51rfbyaRGo2N9iHz2CH4F+2jLzaZN9fjj/dxcs7xcc+3kl8/Xpd8cmc/zSYKfEd/ZOHn6Z+38XLO0XMcvTH71QvPVC1vN8zGCX/GGnXaTcW28crL/+bbrmvG4Tvjc9MCB+vL5zu35N1bpV7xhfW7U1d6n2m9cMhmP+66r9//aXn55/e6309HIuj3/IvhZMMzkV69ufv6L7qILp+PxdH6+/vyX9oor6pVX+tGoxuNjfYh8Njilnx3DTru//60u/frk179pFxaaxcU67bQ6cKDOPdeeHKoEP2OG5t9/vy6+aPr7P7Tz87W0VGecUQcP1tlnl/k8gp81w7W6Q4fq4ovrtdeq62o8rrPOqoMH+zPPtN8+nQ9/1gy3za1ZUy++WOedV+Nxzc3Vm2/W+subt97q2/bIdh0yCX4GDU/COvnkeu65+sLn++XlfmGh/vin2rCheeedalvr9rkEP5uGlfnTT6/9zzVr19biYh13XL36al19dR06VK7VxTKHn2XDKt0bb9Qll9Tbb9ewhnfBBfXs/jrxhDKfD+QDn2XDHTXr1tWBA3XqqbW0VF1XL7/cb7iy/+CDalsPyYkj+BnXNDWd1jnn1P5n65RT+vG45uaal16qa67pP/zwyLvkEPzsa9saj+uLX6qn9zVr1vTLy7Ww0LzwQnP99bW8XNbtowg+QtfV8nKd/5V6cm+deGItLtaqVfXMM7V585GZvOZDCD7F3FyNx/W1i5o9e2r16jp8uOa62ru337KlH2o3n08g+CBdV9NpXXZZPflkHX98jcc1apvdu/tbb54a5EMIPssQ9vr1tXt333X9tK+uax/aVXfePh1+64LZJvg4bVvLy3XVVc2unX31/Xhcc/Ptj35c994zGb4OnNvPMMEn6roaL9d3N7cPPtBXTcfL1XXtnd+vHfdrfsYJPtHwhJzJpG66pb33nr7vp1VV7eiWbfXow9Nhuw4zydbaXMMn3zR11x2Tu+9th4feNjXd91SzcWPTVDWGg5kj+HTDdfitN08eeKgZjdqqmkzq9ddr3Tq/PD+DfIenG+6Wve/B0fc212TSTya1aVOddJLaZ5MRnhp+mmo6reuuq4WFevRRd9HNLMFT9c8HY310w6zhfVYJniM+ilztM0zwEMRcDYIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8A4UtEebBFJCtAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5d86d0176a3d5074c9c4b9b8e99252fb7d52d1dae9a90ff9b78af5b0cb7fc25d"} +{"episode": 38665, "episode_seed": 3304500085, "split": "train", "timestamp": "2025-09-15T23:25:26.191908", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3304500085, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "action": "('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "action": "('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "action": "('move', [-8.216060465858918, 0.5711694945662814, 5.661052712700591])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e4aa20b4f197fa5ca620c8ad39dd8e382ac69a6ebc5847a83e5e7d57e9cdaa95"} +{"episode": 38666, "episode_seed": 94083743, "split": "train", "timestamp": "2025-09-15T23:25:26.847930", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 94083743, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "action": "('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "action": "('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK8UlEQVR4nO3dXW8V5R6G8fuZtQoRqBARgopv1TYeqEgDBCNELCkEsIkQNBo1aDAcGBO/g34Az9CEGg/xgGjQtFKERhADwQYJTQyoENMEeUmrBVKrrK559sEM1LhLabdb66z7+h2uo+lqrvWft2cmxBgFwEMy1RsA4J9D8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwSP4olR1epUb0QxhRjjVG8DMFExKkYlzKn/Fd8ciiQEJYnOnlVXl7JRxcCaFIJHMaSpJJ04oW3btHSpXn9dx4+Pfo4JKk/1BgATkqZKEp08qfffzyPv6NDixUz4yWHCoxhKJcWop59WY6NCkKQ9e9Tfr3KZIT8JBI9iCEExasYMPfOMYlSppK+/1pEjEofxk0HwKIzs5PzWrSqVJOnqVXV2qlJRktD8RBE8CqaxUa2tqlaVJNq5U2fP5sMfE0HwKJLsOvy2bZJUKmlwUHv3cmV+EvieUDAhaOVK3XuvRkYUgnbs0MjIVG9TcRA8CiZG3XabtmzJT9319Oibb9ilnyiCR5GEkF+QX7NG9fVKU4Wgd9/NP8dNETwKJjtcX7xYq1YpTRWjurrU38+puwkheBRMCKpUNGOG1q1TkihJdOGCdu5UCCyhuzmCR/FkF97XrlVTk2JUmmrXLlUq+R14GAfBo3hKJVWramjQE0/ku/G9vTp0SEnCGfubIHgUVYx67jnNnClJv/yiTz9lwt8cwaOQymXFqFWr9NBDkhSCurvV16dymSP58RA8CmzaNL3wgiQliXp7dfCgxFqacRE8iiq7Dvfyy7r1VqWp0lS7d2t4OB/+GBPBo6hCUAiaP19tbfmjr7q6dOqUxJC/MYJHgV1fS5OmKpV05Yo++4y1NOPhi0GxhaDFi/Xoo/lamvZ2DQ9LDPkbIHgUWHYYP3Omtm7N19KcOaMDB6j9hggexZbtwLe0aM6c/ILce+9xQf6GCB7Flg35xkZt3KgYFYL27VNf31Rv1r8VwaPYsjUz06drzRpNm6YQ9Ntv2rFDIXCb7RgIHoWXnZNfvVqPPJJfkO/s1PAwD7ccA8Gj8JJElYrmzVNLS/7JqVPq6lKScJvtnxE8akE2zDdv1rx5kjQ0pI8/ZryPgeBRC5JEaaply7RoUf7JwYP69tt8IS2uI3jUguw22xj10ksqlRSCfvxR+/Zxfe7PCB5jKeDecJIoBG3apAUL8utzHR26dEmlEs+3HEXwGEsxJ2OMqq/X5s2SVCrpwAGdODHV2/QvQ/AYS3+/fv21iHM+Rr32Wv57dfVqfuqOtTTX8U3gv1y9quZmPfmkurslFeisV3Yk39Skp54affncxYtSIY9R/hYEjz/IDnYPHdK5czp+XJcvT/UGTVqMmjZNr76ar6U5f1779lH7KILHH2TBd3RoZERNTWptzd/zUhxZ2ytWaOHCfNdk+/Z88kMEj1HZwW6MOnRIkpqbNWtW/jKn4sj+goUL9eyz+Y9VT4+OH5fYq5dE8Bh1vY/TpyVpw4aCnu+qVlUua+1aTZ+uGFWpqL1dEhfnJILHqCyI/fs1MKC5c9XaWtBd4WzIL1+ulSvzZ2B1durKFdbSSASPXDbMR0Z07JjKZS1frrlz8/tXiib7O2bP1urVKpUk6aef9OGHLJiVCB657CmQP/ygAwc0MqK2tqneoL8k63zzZt15pyT9/nt+IpIhT/CQdG0/+I479MEHevNNrVsnFfV+O10b8g8+qMcfl6QQdPiwenpYS0PwyGRLT2bP1vr1eucd3XPPVG/QX5X9QS++mL+X4uJF7dkz1dv0LxCi+S4Oal1zsy5f1iuvaMsW3X13Qc9L/N8QPK65cEHffadFi1RfXxtNZG1//70aGvKjerBLj2u3pLS3a9UqvfWWhoZGPyyy7FersTF/PAZE8Mjn4NCQursVoy5dym9YqYkhr2u3FxTwBqK/BV8DJEnnz+vLLxWjWltVV1dL57KzB2MgQ/D2stPZX3yhSkUPPKCHH84/RC0ieEghaPduhaDmZjU1FW6FHCaO/yukwcF8f37JEpXL+XtYUYsI3lt2Ruvzz3Xpkm6/XStXSuISVg0jeG/Ztbc9exSj7rtPS5awP1/buPEG0uCg9u5Vmur551WtMuFrGMF7izF/XgQ8EDxghKM1V9kP/dCQPvpIhw/zaAgTBO8qu5eut1dvvKGNG3XkiFQL989jfBy8ucraPnpU585p+nQ1NEjcYFf7mPCWYlRdnUZG1NOjELR+vRYsmOptwj+B4C1l4/30aX31lWLUunVcezfBv9lSFvzJkzpzRjNm5E9+Y8m4AYL3k711LU11+LBC0LJluusuiQN4CwTvqr9fu3crRrW0aM6cWnriBcZB8K4GBzU4qFtu0dKlCqGWnniBcXCnnbG+PvX0aMUKzZ/PhDdB8JbSND+ShxmC91at8sw3KxzDm8l+3zs6tH27+voY8m6Y8Gay5e4bNqizU21t+uQThrwVJryT7Lj955917JgkLVkiSWlK7T4I3km1qhjV1aWBAdXXa/16iSfYeSF4J9kw379flYruv1+PPcYT7Nzwz7aRpqqr08CAjh6VpJaW/EXKcMJ6eBshKATNmqW339auXdq0SeKVa3Y4Sw8Y4QfeT4zsydtil94PF+GMMeEBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8BNRXO8bdMB3wAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "action": "('move', [-98.26846060496166, -47.565672524340094, -18.894081546906932])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e60f5fb98155fed5f212b654fefafb322c543749673f9af9776704b9f0a74075"} +{"episode": 38667, "episode_seed": 3474099365, "split": "train", "timestamp": "2025-09-15T23:25:27.506430", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3474099365, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "action": "('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "action": "('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "action": "('move', [3.792516771077223, -1.9098776151389283, 29.963490603180635])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKRklEQVR4nO3dW4wV9QHH8d/MmcNZIeAKzUKKXLoKBJBCY4M8cDOSqBQDilwChEtigFVpopHw0oe+1CeCwSAt0dYWyiXUtQhqoJiCkhIqXRLCTYihSpCQ2BSRwnIuM9OHOd0GQxWUcnb39/087rInsw/f/V/mP0OQpqkAeAhrfQEAbh+CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXgYSVPFca0voqaCNE1rfQ3AbZWmCoJaX0SNMMLDQjauVSravdu3dhE8HLTNYpct04wZeuWV6hcNZ7dRrS8A+P/Kqk5TNTVp3TpJeu45BYGeflqVinI5rwGfER4WSiXV1UlSoaByWc8/r3XrFEWKY69xnk07dH7ZLl2SaPlyrVqlLl1UqaiuTqtX66mnvMZ5goeFtk27F17Qyy8rl1OSqFs3rVmjBQuM9u0JHi6yqrP5/Jo1yuUUx+raVevWad48l+ZZw8NFNqvP5/XSS3rmGcWx8nlduaLFi7Vxo4JAlUrnX88TPIyEoZJEUaRVq7R0qcplFQpqbdXSpdqyRVHU+Zvnthy8ZM1n43wc69VXVSjo8mU1NSmX04wZqlQUdd4sWMPDUZIoCNTaqmef1euvV8f2nj312mt6/PHOvJ4neJhKEoWhrlxRU5PWr6/u4dXXa/16PfZYp22e4OErq/rqVS1ZovXr1aWLSiV1765NmzRliuJYuVytL/FWY9MOvgKlSaK6Oq1dq7lzVSqpUNClS5o/X+++q1xO5XJn28MjeBhL0zAux6W4W9d07VrNnq1iUXV1unBBCxdq507l853t+Xmm9IASKYzjC18Ei5eEbzQrn1e5rD59tGGDJk2qrvY7B4KHn2ztfuGCVqxQsaifTNHECUlDQyh9cVGLFmrbtuq+fe/e2rxZDz5Y6wu+dQgefrJb7Xv3atIkxbGiSA0NGjo0mTAx/OnSi9H3FsxJ39oeZON8r15qbtaECZ1kD4/g4Sdr98QJrV6tffv02We6eDH7TnL4aPjD4f/8R7JgYfj2Oyrk42I517u3tm7V+PGqlJIoTDr0uRyCh72WFu3Zo/feU9++Wrkyrr8rF+jzLbsWLbjwTjS7UIqLlbDv3cGWDeWxE/OVDn46leDhqu0dV207cq2tKhQUBHEQ5H62/PwvVi7QG3/S9HyUlivpgD6lLcv+MmZcktw/LuxaV/2EJKl+Qgc5pkPwsJck1W7b5uppmpw6HR7Yd/5vf5/728l//tcDUZhWkqC/Djf3/fmPj/8q7dH7+n231dRe+yd44D+uPU+bSGF69fOTl2c13bVnb5iP0nIQfL98dvtf+9w/OkiSXPiHrfrNrzV+vCZP1siRHeLeHcED15MkSpI4inLS+fOaPVvvv69CPinGYb+79dbW0o8e6FKZtzDa+DtJiiL176+HHtLDD2v0aPXsqTvuqPafpqpUqnP+dvAXgeCB/y1N41i5KDh7VnPmaN8+1RXSq8Wg8Qdp845g1InfV365ITp3RqdPq1Sq/khdnaZN05o16tXrq4/glMvV7GtXPsED3yC7i/fpp5ozR/v3V8/hDRqk5p0a0ajk7LnwwH4dPKgjR3TsmM6cUWOjjh9XFCkM1dKiAwc0apRGjlT37tVPrFQUBDW5rU/wwDdra37mTH34YfUc3qDG+I/NyfBR+eo/am3VsWM6dEh33qlZs6rHe+bO1aZNamjQsGEaPlxjxmjcOA0YUKtfhOCBG5I1f/asnnhCBw9Wx/nGRr29PRk6PEmKaVjIX/MD2Xy+qUkbN+rSpeoXczn166eBAzVtmhYtUo8et/nJe4IHblTbOD99ulpaVCioWNTgwdq+XUOGKC6nuTBRml7zmvurV/Xll2pp0a5d2r1bn3yiK1ckaexY7dih+vrb/GgOwQM3IWv+9GnNmKFDh6rNDxumbds0aNANnLc/elR79mjzZk2dqhUrbv8L9AgeuDlZ1adOaeZMHT5cnduPGKE339S9915vwG5Pp3EIHrhpWfMnT+rJJ3X0aLX5++7Ttm26556vXZVnp3G/Mu2/jQge+Day5j/+WFOn6vjx/za/Y4cGDmy/78AkeOBbapvbT52qjz6qrudHjNAHH6i+vp02X/uzfkAHlb3ZevBgNTdryBAVi8rl9Mgjqq+X2sWC/ToY4YHvJBvnjxzR/Pl69FG9+GKtL+hrETzwXWU78+fOqaGh+phM+xzeRfDALdFR3mzbEa4RaPey/6Oy/Y+ejPCAEUZ4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPk3GKLHf1TPM6gAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4e94ec0d71c7aae1bcf352ed7ad6104853ae907f3c8217fc13b422b74ebbd59b"} +{"episode": 38668, "episode_seed": 1576127793, "split": "train", "timestamp": "2025-09-15T23:25:28.510518", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1576127793, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "action": "('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "action": "('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALEElEQVR4nO3d34sVdQPH8c/MnF11i33MVEgExfyBJWkESW2lkSmIq6ttUhZBoQbRH9FNF10XEQlRq0UopJnir8yQEmpXvbDE0N1C8UJMrU1Kz56ZeS5mcPXp4Xn2V56Z/bxfV2fHOTK77tvvzPfMjyBNUwHwENZ7AwDcPgQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBSqfcGALddkiiOlaaS1NCgIKj3Bt0+QZp924CDJJGk0HfHluDh59tvtW2benrU0KB33tE99yhNTcZ5gscolaZKEkVR/joI1NurzZvV0aFTp9Tbm6+2Y4dWrSJ4oLSy4/NKpf/LIFAQ6Px5LV6s7m6FoaZP15Il2rBBCxb0r2nA6FvFKJemimNJecBXrujECe3Zowcf1Nq1qtU0dara23X8uNat0zPP6M4767u9dcEIj1Hn6FEdPKhDh3TggOJYU6equ1uNjZL0559qaspXS5J85HfCCI9yygaqLNfsCPzCBe3cqb171dmpc+fy1e6/X+3t/VU3NalWk6Qo8pyrJ3iUSprmqd/I9cYu6ttv680389fNzWpr0/PP64EHNGXKLW93OmL/O+tvHmWSJPmse5b6tWv6+Wd1d2vJEo0ZI0n33ad//Uvz5umFF7R6tSZP/i9juNkO/N9xDI8yuPljszNndOyYtm3Trl26dk1dXXroIUm6fFkXLmju3FveJSK/BSM8iurmXINAv/2mQ4d0+LB279bp0/k6996r33/PV54wQRMm/Oe7cCuCR8Hc2OW8eULu5Elt2KDvv8+n3MaMUWurli7Vo49qzpx85ezw3nIqbuAIHsVwI9cbw/LlywpDjR8vSZWKfvhBtZrmz9e6dVq6VLNm6Y47bvkb/D5jGwKO4VEAcZyfAyvpjz/U1aXNm7Vzp954Q6+/nk/Xbd+u5ma1tPSfMFOrKQj634gBYIRHAUSRent1+rS+/FIdHTp5Ml/e1aVqVY2NCgI9+2z/+tk5M94fsA0NPzIUwIcfavt27dmjvj5JamzUI4+opUVr1vQP4DfPxnGgPlTs0qMAWlp05IgkzZ6t1lYtWqRFi9TcXO/NGoUIHgVw4IDee0/r1mn+fM2cmS+sVlWpMJiPLIJHASSJqlWNHZu/ThKFIan/EwgehZHdf4pP1/5JTNqhGDhn5rbgR4xiYFS/LQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfhiSRKlab03AqNXkPL7BdhghC+E7H/d69e1aZO2bMm/5L9ijLhKvTcAkhQEevddvfWWzp7VnDlavFhTpypNFQT13jKMLozwRVGt6uxZNTTop5/U2SmJ2jHyCL7+sl33tWs1YYKSRJI++EBxTPAYeQRff1nYkyervV1xrCjS/v06c0biMB4jjeALIY5Vqai9XZKCQNWqtmyp9zZhNCL4QsgG+QUL9Nhj+c785s3q62OvHiOM4AshDFWradIkrVyZT86fP6/PPlOaKo7rvXEYRQi+KLLB/OmnNWWKkkS1mrZsYYTHCCP4oghDxbHmzdOiRfmSzk79+KOiiEEeI4bgiyIIlCSqVLRihZqaJOniRX36qaT8szpg+Ai+QCoVpalWr9aMGZKUJDp4UJcuqVKheYwMgi+QIFAca9w4LV+uMFQQ6OhRff11PvgDw0fwxRJFkrR+vcaNyz+Q37dP1arCkJNwMAIIvliCQGmqWbPU0qIkURhqxw719CgMGeQxAgi+iJJEr70mSVGkixf11VeSFPJvhWHjl6iIwlBPPqlp01SrKQjU0aGrV/PBHxgOgi+c7GSb5ma9/LLSVJWKvvtOJ05QO0YAwRdRdri+cqWamvLX77+vIODEOwwXwRfXnDlatiy/lubzz/Xrr/XeIJQfwRdRdpptU5NWrpSkINCVK/rkE0mcZothIfiCyqbonnhCc+fme/Uff5wvB4aM4AsqG+RnzNCSJfmSU6d08KCCQLVaXbcMZUbwRdfWpvHjJam3V1u3MsJjWAi+uLILYx9/XPPn50sOH9a5c1xLg6Ej+OLKDuMbGrRqlaJIQaAzZ7R7t8TUHYaK4AstipSmeukl3XWXJNVq2rtXV6/mF9ICg0XwhZYN8nffrRUr8nvd7d+vEye4YBZDRPBFl83SbdwoSVGkv/7Svn2KY66lwVDw9NhyiGM9/LCOHVMQaNo0dXZq4kQePodBY5gogTRVGOrVVyWpoUG//KJvvpE4CQeDR/DlEAR66ilNmqRaTWGoTZvqvUEoJ4IvjWnTtGZNPleXPXwuTZmrx+AQfAlkp9NWKmptVWNj/uWmTdwSA4NG8OWQzckvXKiFC/NBfvv2/DY4wMARfDlkD5+bOFHLluWj+tmz+uILrqXB4BB8aWQ78MuXa8oUSbp+XVu35n/Ejj0GiOBLI4pUq2nBAi1cKElBoM5OHT+uKOKsOwwUwZdJdlu7557TmDGSdP68du1i6g6DQPBlkl0z09qq6dPzyPfu5eFzGASCL5k01bhxamuTpChSV5eOHMmXA/8XwZdM9pC59etVqUhStao9e9TXx8PnMCAEXz5BoJkztXSp0lRRpI8+Uk8PR/IYEIIvnyzsjRuVJIpjjR2rU6ckrqXBAHB5bPlkV8VeuqQXX9Ts2Xrllf6b3gH/G8GXVRznD5OXuDAeA0XwJZamqtUURdz9BgNF8CXGwI7BYmgoMWrHYBE8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASP/BiiflRd6uDfFAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "action": "('move', [7.812921285309526, 8.276005934713362, 44.60656300739853])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fe5ef38fd7edefc85a5210ed156c4cf92d8e1fee489dce903327978c220be6f1"} +{"episode": 38669, "episode_seed": 3936634673, "split": "train", "timestamp": "2025-09-15T23:25:29.149487", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3936634673, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "action": "('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "action": "('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "action": "('move', [4.179243561017289, -3.927318221254076, -8.574819097871321])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "76086c2b978ab0213406d1bb986ba488a9b1799fb4be49626677028cf9b5fcc3"} +{"episode": 38670, "episode_seed": 3165829557, "split": "train", "timestamp": "2025-09-15T23:25:29.796027", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3165829557, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "action": "('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALNklEQVR4nO3dW4gW9QPG8ec9rYaoQWV0U2opBdZ6CDtQCh0QJKyF1ihXLA2304tmCmFYFlRWpmgHdS1PrOAmxoqRLkkReFMZQd0UGKg3aSa7pZm77zszXczwbmb1V/nXOvN8P3gh680oft/faWbeXBRFAuAh39cXAOC/Q/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB6QwlCSfvkl+U12ETzsBYHyeX3/vW65RQsX6rff+vqC/kW5KIr6+hqAvhOGyud16JAaG7Vnj0olffmlrr1WUaRcrq8v7v+PER7Gokj5vLq6NH269uxR//5atSrDtYvg4Suu+uhRPfigdu9WPq/FizVrloKgr6/sX0TwcBUvZg8d0s6dkrRggebPV6WifD6rw7tYw8NUPLxHkcJQn3yiXbv02mvJH2W3dhE8HMUbdacv1LO7dK9hSg8z8SHcihVatEgnTiiKkl/K+NgeK/b1BQD/oShSoaANG/TUUwoCXX65Zs9OBnwPLn9PQGGoXE7t7SqXFQS6+WZNmCBZDOw1rOHhoVpVsajduzVtmn78UaNGads2jRxpNbyL4GEhrvqLLzR1qvbv17Bh2rpV48YlnwJOjD7b4CuufdYs7d+vIUO0fr3GjVMYutUugkf2xXPYjg59840GD9batZo40W0mX2P3CQcjtXP1MNRjj+nIEdXXa8oUw5l8DWt4ZNTpd9HEo7rr2B7z/Zsjy+ITuO5uLVigzz9PfhJ3bly7GOGRQVGkIFAQqFzW2rW69FJ9/bWGDHG4c/Z/Ml3JILPi52EKBS1cqLVrJWnyZNXViYFNEsEjgwoFLVmi11+XpPvu06pV6tevr6/pfMGUHpnT0qJyWT09uusubd6sQYPMN+r+iOCRFfHSva1Njzyi48c1YYK2bNFllykIVCj09cWdLwgemRBvyx89qltv1bffaswYtbVpxAhq/xPmOUi/2jPtF1+sFSt0xx1at04jRiS7d/gDRnhkSHzwduyYBg7kEO4vMcIjzeIvivnuO734oiTlcqpWNXCggoDa/xLHckiteO/9yBE1NWnvXh0+rJUrVSgwk/8HjPBIp7j2zk41NmrvXhWLuuaa3p/jb/BPgxSKZ/JdXZoxQ59+KkmvvqpHH01eWYe/R/BIm3ibubtbc+dqxw5JWrRITz7Juv1MEDxSJa69WtUzz2jjRkmaM0eLF7NuP0McyyGFtm/XPfdI0syZWr1apRKHcGeI4JEqcdjd3XriCf30k1pbNWAAG3VnjuCRNrWvhevuVv/+jO1nheCRTnR+TpgIIbUYq84ed9ohnRjezwkjPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCT58w5NUPOEcEnzK19zXSPM4BwadJXPvRo8lLHGkeZ4vgUyOu/dAhTZ+uZ5/lvcw4F7zTLh3iwbyzU3PnaudO7dypzk6tWKFcjpey4yzwPyUd4qo//lhtbSoWVSzqzTf1wAM6dkz5vKrVvr4+pATBp0M+rzDUlClaujQpvK5ObW1qaNCBAyoWaR5nhC+iSI3aNy9s3Ki5c9XVpbo69fRo9Gi9+67GjlWlolKpr68S5zeCT5l4bt/RodmzdfBgMrZfcYXWrNGkSQoCvkMV/4QpfcrE8/lJk7Rtm+rrVa2qVNKBA7r/frW2qlDgthz8E4JPn2JRlYquv17t7brtNlUqqqtTZ6cefljLlyufT7bugdMRfCqVSgoCDR2q99/X1Knq6VGppJ4ezZunhQtVrSqfVxD09VXi/MMaPsXi9XwYqlzW228nY3sQaOZMLVumwYNZ0uPPGOFTLL7fJpfTW2/p+eclJYWvW6dp03TwoAoFxnmcghE+9aJIQaBiUWvWaN48nTiRHNeNH6+WFtXXM86jF8FnQRQl2/Xbt6u5WYcPq39/nTypYcO0fr0mTlQQJBN+mCP4jKiN8599pqYm7duXND94sNavV0NDclZH8+ZYw2dELqdiUVGkG27Qrl0aP14nT6pU0s8/69571dKSpM5xnTmCz5T4Ofkrr9QHH2jyZFUqyadAc7NeeKF3Vx+2CD5r4rtuLrlEbW166CFVq8rlVCrpuedULuvXX2neGsFnUJz0gAFavVpPP60wVKWifv20apWamnTkCLfl+GLTLrPCMFm3v/GG5s9P7sDt6dGNN2rzZg0fznGdI4LPstoTtVu3qrlZnZ0qlVSp6Kqr1NamsWM5rrPDlD7LaiU3Nqq9XcOHJ8/M79unyZPV0cHTdXYI3kIYasIEbd/e+56Mw4c1dao2bVKhwAtwjRC8hfgp+lGj1N6u229PjuuOH1dzs155hSdqjbCGNxLv0h07ptmztWVL74S/XNayZcn0nhfgZhvBe4mTjiLNm6eVK5Od/ChSY6PeeUeDBrF1n3F8nnuJj+hzOS1friVLdMEFklQoaOtW3X23DhxQocALcLOMEd5RvEuXz6u1VeWyurqS47r6em3apOuu47guswjeVBQpDFUo6KOPNGOGfvghaX7oUG3YoIkTe8/wkSVM6U3lcsnW/Z136sMPNXJkcly3f78aGvTee9SeTQTvK36iNgg0erQ6OnTTTUnznZ2aNk0rV6pS4Zb7rCF4d/F774YO1Y4damhImg8CzZmjpUvZw8sagkdyAn/RRWpt1eOPq1JRPq8LL9TVV0u8JCdb2LRDIj6uC0O99JJeflktLWpqYusuawgevWp32n31lcaM4SacDCJ4nKI2pDO2ZxJreJwivtO29vIMZAwjPGCEER4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkd8BKxhIzm3FqzsAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "action": "('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "action": "('move', [13.905011837330614, 9.104461566099877, 44.557761356049014])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI5klEQVR4nO3dT4jU9R/H8ffO7uau62qHMOwgdDAIjAhvUXbpFBFdrENFkRAVSUV5MQQvQX/oYBdDoT9QkFRQdKhAiMBT2aUuBSUeLRNNXWXVmfkdvvMbt3XVTa1t5/V48GX5zuyyfkf2OZ/P5/ud3RnqdrsFZGgt9AEA/x7BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQ1WnU1V17FhvZ3AJnnjtdrVa9euvdccdtWVLnTq10Af0DxrqdrsLfQywcDqdarXq4MHasKH27q3R0fr++7rllup2a2hooQ/u6jPCE6zbrVarjh6tRx6pvXtrbKx27Bjg2kvw5GqqPny4Hnus9uypVqu2bauNG6vdXugj+wcJnlTNYvbgwfrii6qqzZvrxRfrzJlqtQZ1eC9reEI1w3u3W51Off11ffllvf5671ODW3sJnkTNibrzF+qDu3TvM6UnTHMRbvv22rq1Tp6sbre31YCP7Y2RhT4A+Bd1uzU8XO++Wy+8UO12rV5dTzzRG/AzpDxOqE6nhobq009r06Zqt+v222v9+qqIgb3PGp4MZ8/WyEjt2VMPPVS//15r19Ynn9RNN0UN7yV4IjRVf/ddPfBAHThQN95YH31U69b1ngWSBD23kaupfePGOnCgVq6sd96pdeuq00mrvQTP4GvmsF99VT/+WCtW1K5dddddaTP5vrhnOIL0r6t3OvX003XoUN16a913X+BMvs8angF1/qtomlE9dWxv5D5yBllzBW56ujZvrm+/7d3TdB5cexnhGUDdbrXb1W7Xpk21a1ddf3398EOtXJnwytlLCl3JMLCa34cZHq4tW2rXrqqqe+6pa64pA1tVCZ4BNDxcr7xSb7xRVfXgg7VjRy1ZstDH9F9hSs/A2bmzNm2q06fr3nvrgw9q+fLwE3UzCZ5B0Szdd++uJ5+sEydq/fr68MNatara7RoeXuiD+68QPAOhOS1/+HDdeWf99FPddlvt3l1r1qh9FvMcFr/+77Rfd11t3153311vv11r1vTO3jGDEZ4B0lx4O368JiddhJuTEZ7FrHmjmJ9/rpdfrqoaGqqzZ2tystpttc/JZTkWrebc+6FD9fDDtW9f/fZbvflmDQ+byV+EEZ7Fqan9yJHasKH27auRkbr55nP3cwH+a1iEmpn80aP16KP1zTdVVa+9Vk891fuTdVyY4FlsmtPM09P13HP1+edVVVu31vPPW7fPh+BZVJraz56tl16q996rqnr22dq2zbp9nlyWYxH67LO6//6qqscfr7feqtFRF+HmSfAsKk3Y09P1zDP1xx/1/vs1MeFE3fwJnsWm/7Zw09M1NmZs/1sEz+Kk88tiIsSiZaz6+7zSjsXJ8H5ZjPAQRPAsDubvV4UpPQtjZsBz7s+8s9Uyhb86nKVnvub5k/IPldluy/4qMMIzX1crtm63TpyoY8fq+PG5t+ZTJ0709k+dqunpWru2du6sFSu8yuaKCJ5L67+zQ6fT25l58/TpmpqqP//8S7Eze272+/dMTVWnU51O789S9Xf625xGRurkyVqx4t995ANH8MyheVXL0aP18ce1f3+dOnWu3mbg7X+cmvrb33xoqLfV/982Yj4OHarjx2vVKmfvrojgmUMT/JEj9eqr9csvc3/N0FC1WjU6OrveZrv4N58VbatVY2M1Pn6xj6tX1/LlvX+XyyZ4Lmhiolatqv37a2io2u3Zn+3P82cZGanly2tiopYurYmJ3rZs2bn9/jY+XuPjtWRJjY31tpn7/Zuz3tnZAv5KCJ45NKPokiV17bW1bFndcEMtXVqTkzU5WcuW9XZm7U9O1vh4jY6e20ZG/nKz2S5jfO4v8oeHDe9XymU5LqjbrampOnOmRkaq1apWq4aHezuXPcyef36u3/BFdspM/ioRPFek+fG5yA/R+aFKdwEJnkuYNQ6zqFnDcwlSHyTOeEIQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQ/wG5Gln5J0AYQQAAAABJRU5ErkJggg==", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bd5cbdcd103815488b1aede26dee09e4e5a61e350b00ef99f0623f7454b726f8"} +{"episode": 38671, "episode_seed": 3999648050, "split": "train", "timestamp": "2025-09-15T23:25:30.436043", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3999648050, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "action": "('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "action": "('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "action": "('move', [-3.2627133072555856, 3.0577590220854973, -12.677807257091635])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHH0lEQVR4nO3cz6uc1R3H8e95Zm4reOuNbtRNoFCF2qYETdqtLaWaSgtihNyu2k2yEoml/4F/gNKtG121uEyJKAi2tGkpiGgubZMrGoSWdiGCuFAz85wuJv4FuXOfST6v13Jmczbv+c55fpzWey8gwzD1AoDDI3gIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIIngIstHB9z71CuD2stHBt1aLRY3j1OuA28XmBt97ff55zec1DEY9HIzNDb61OnOmdnfrnXeqNc3DAWh980oaxxqGeuONeuyxqqq77qrnn69nnqnlsmazqRcHt7JNnPC919jrty8uW+vDUMtlPfTQjc+Bm7FxwS8WNQx16c/9L3+dVbVx7E/8tD/6aI2j8Q43a+OCb61aq1de7p980qvVnXfW7m6fzWocq7WpFwe3uM0KfrVLv/xev/ja0FrrYz/+vfHUE8NyWfP51IuDW99mBb/y6qv17/9UazWbtbPnhq9/beoFwe1ig67Sry7Of/BBPf54vf9+tVbf+ub4z6vD6k8+cPM2aMK3VuNYr79e+/s1n9c41nO/GYYNWiDc8jZlwvderdWnn9bJk7W/X63VfffV3l7dffeNr4CbtykDdJX0xdfq6tUb4/3ZZ2tnR+1wkDZlwq88fHz57uVZVd17b731Vj344I2NPXAgNiKm1ftwf7jQ3708rHbyv9itBx4w3uGAbUTwVTWO9eIL4zjW2OvITn/69NhaLZeCh4M0ffCLRbVWf/pj/9vfZ21ofew//1k9cnLwLC0cuOmDX91mf+ml+uyzXlU7O3XmTJ/PjXc4eBMHv1jUbFZvv93ffLNWz9KeeHj88U+GxaK2tqZdGtyGJg5+dbLF739X//1fDUNtbbWz54atLbMd1mLK23KrV2WuXKlTp+ratWqtvvPt5Xt7MxfnYU2mnPCrO3AXL9aHH371LO2vXaaDNZpswq/G+Mcf14kT9dFH1XsdPVp7e7W9PclyIMJkE371p/3Chbp2rWaz6r3On6/tbedYwRpNvIc/fmz5jyuzqrr//rp0qY4e9XQdrNGUe/jlsv61P6uqcey/+mVf1Q6sz8S35ebz6r3uuac/9VRVedgG1mvi4Ieheu9Pn67vHmuOnYd1mzL4YagvvqgjR+r06bYa9cY7rNXE9+GXy/6D7/cf/qgtFs6lhbWbMvgvv6xvbLez59psZrbDYZgy+OvX69ix8cknW++OtYHDMGVnd9xR559rq/dnTHg4BBOfaXf9utdg4fBs1iGWwFpNvHX2awOHafoDMIBD4+I4BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BPk//pU1XQkHN20AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "92c92cc9aaa0a1440f84e1db2ec2e2069baaa091e228a49437837ff79321897b"} +{"episode": 38672, "episode_seed": 1204366388, "split": "train", "timestamp": "2025-09-15T23:25:31.462059", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1204366388, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "action": "('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "action": "('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "action": "('move', [-1.4031705357354456, -2.879553320694543, 17.362834922897093])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH8klEQVR4nO3dz49W1QHG8ee+74gG0UotQgLRtigqCmHALly51j/ARZv4/7aJSuVHUKDQFpCxiUmHaFHmfW8X72C7khmadObm+Xx2c1Zn851z7nlP7h3GcQzQYbbXEwD+fwQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRaYR/HKZ5XKvJwHTN4zjuNdz2IVxzDDs9SRgstb2egJP9sMPuXYtt27l8uWcP5+PPpI9PKV9HfxymdksGxv55JN88UWS/OH344cfDotF1vb1xGGf2tfP8MOQcczRo3nttRw4kLW1fPVVhsHyDk9pvwe/tZVnn82vX13++OO4tZVv/jF8803mc2d48DT2dfA/eeP1cRjGJJubuXQpSSZ11Aj7xX4PfrV7f/P0/KWXZkk2N8crl5YRPDyV/R78bJYkb7+dI68kyWKRK5fHxJYensYEgl8scvx4fvXL1Zo+3Pr73Ck9PJ39HnySxSKzWU6eHJMxyf2vc+fO9j8CYFcmEPxqV39ufTabDUnu3s3Nm4nHeNi9yQR/9mwOHkySb78VPDylCQS/OqhfX89zz22P3Ljxn3Fg56YR/HKZl1/OsSNbq5GbN/PwYdbWnNXD7kwg+Dy+Y7t+fntNv3499+/v7YxgkqYRfJJhyPn35kky5Pq1xcZ9129g1yYTfJILF5LkmbX868fZnbue4GHXphH86nzu9OkcWFsul0mGq1eHPD7AB3ZoSsW8cGh8+63l6r7NpUt5+HD72R7YoSkF/8yBYf297Su1X1xcPtjUOuzOlIIfhqyvJ8naM7lxM5ubez0hmJrJBL/aup87lyTzWRbL2ZdfObeD3ZlY8MeP5+DBPHqUJJ99lrhvB7sxmeBXYb/4Ys6c2b5g9/lFJ3awO5MJfuXw4bzzTpJkyKd/GkdXa2E3JhP86kb92tp28Gvz3L2Xe18n7tvBjk0m+Dx+rdXJ3y6TxThmsRw+/3yv5wSTMqXgV4/xx08MrxwZFouM4/a5nRUedmh6wZ84MZx8fXvan/5xEcHDjk0s+HHMkSP5zW+3R768Pqw+RwXsxJRaGYY8epT5PCdfWybLJP98MLt9e/s8D3iiKQWfx7v619/IfDYkefAgFy8mdvWwMxMLfrV7f+PN2dFjQ5Lvv8+lPy/H0QoPOzKx4Fcr/Ftv5ejR1cB45ergdi3s0MSCn82ytZXDh3Ps2GpguHN38EJL2KGJBZ9kucw45tSp7T83NnLzpjdhwI5ML/jZLMOQM2dy4ECSbGzk+vUxzu1gByYZfJKzZ3PoUJJ8993y+rVlfE8WdmB6wa9276dP59Dzq4HZjVvzJPP5nk4LpmCSwS+Xef75vHpi+0M0t25lczPzuV09PMH0gs/jH+fOv7c9+b/cHO/cSezq4UkmHPz6+VmSYZbbf13eu+NDNPBkkwx+5cKFDEPW5lks5rf/Nov328GTTDL4VdinTuUXLyy2tpLk6tUsl87t4AkmGfzKgQM5d3ZYbeOvXMmDB4ldPfysCQc/DFn/3WwYMgy5fHlcfZdC8PAzphr8T9+lGMeMY+7dGzY29npOsO+t7fUE/ifvv5+PP84HH+Tcubz7buJ7svCzhtEmGGpMe4XPfz20+00Onmjywescds4jLxQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5NzcjX4niCjtBAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7cc64e327fdf0bafe5bd307b4dd983e98c16da532dd002287348a21c74604372"} +{"episode": 38673, "episode_seed": 3193716121, "split": "train", "timestamp": "2025-09-15T23:25:32.107480", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3193716121, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "action": "('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "action": "('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "action": "('move', [-1.47801448542438, -1.3599279287949442, -46.265627777552346])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJrUlEQVR4nO3dQYhd52GG4e/eOyNLY8lWpKmnkltQQbgk4IU3ScEkK+8CzsKBkuJikmDIIiQEDKEhKTEUQgJxTRMXAtYiUFovQpUsgiEhq4DBEGLS2gGnxV3E1oyER4ksyfbIM/d0ccca25VV27JHGn3Pw2F00WguZxbv+c/5z3+PRsMwBOgwvto7AGwfwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwVNvOs36+tXeiW0ieLpNpxmPMzeXjY2rvSvbQfB0G4+zspJf/CKTSabTq703HzjB02oYkuSpp/KpT+Wee/LkkxmPr/txXvB027cvv/1tzpzJF7+Y3/8+k8n13bzgaTUaZRhy9Ggeeyxzc/nVr/KNb2QYMplsDv7XI8FTbNb8Jz+Zb34zo1F++MM8+OD1PWMveEoNQzY2Mp1mWJ8OX/5y7rknSX7961y4sHkguB6Nhuv0F4N3bCOZTJ/9rxw/ni98YbT/pkyHjEaz773+53VC8NSZ3Xp/9tk89VSOHMnSUg4fGm7Y/S7KHoatM4A3HhGu/aPD3NXeAdhu6+vZtSs//Wm+9rXs3Zsk8/OjhT3DoaXprX82OvwX48PTlcOv/PfhT995662jW27Jrl2Zm8tkkslk8x1Go0u3PZ1u3suffff/fr3qBE+d8ThJTp7M2lo2Ni5O0o2e+5/Xg85S8if559HsHy8t5fDhHDqUQ4dy+PDmtrSUffuye3d2786ePdm9OzfckPF4883fYhjy2msZhq0jxezF9h8LBE+X2X23JGtrGY3ebkp+NJqbzK2vJ9NhOl5ZmVtevvS7LS3llluytPSmF/v356ab3rQtLGR+/tLvsL6e6TRzc5c+UrzvXMNT6umn8/TTOXcuq6s5fTqrq3nxxbz4YlZPZ/XUdHX1lWluzCgZkgzJ1hzexTjfcHbwVpNJDhzIwYM5cGBr+9CHsriYxcUcPLi5LS5mz55t+n1nBA+bXn45Z8/m3EvTs+dG5574j7N/9w+nzw4rf/pXK/c9sLKck8s5eTIrKzl16tI/PhplPN68o3eZ1Xo33JC9eze3ffuyd28WF/OVr+SjH83GxtY0wQfEKT2lptPNLIch43EmkywsZGEhS0ujZJo7/jKn/zx//4/5479n99kLxx5cO7extj65cCFrazlzJsvLeeGFLC/nxIm88EJOnMiJEzl9Ouvrm9fqbzeSrq1lbS2rq1t/Mx7n3ns39+SDZoSH5PXYNr9Oh4xGwySjv/nb8b/9y2gyzmP/mk//9eyO/SV/fDY//+qrWVnZ6n92OHj++Zw6lVdeyYULmR0vLlzIa69t/eziYn72s9xxhxEetsubJszHo0ynyTj/9HCe+c+c+eMwTDIdMn1T72+cXZ/Nz+/dm6NHc/ToJd7/1VezvJxTp7KysrmdPJlTp/KHP+TgwSwtbb7JB80ID29jdmr+m99kPM7tt2+ttrlslxd7esuLywzda2uZnzdLD1fd8Poa2ys+2754uJi9uPj6jet5toEPz8DbG402b75NJjl/Pp/7XL7//eS9TK/N5vBns4Nzc5mfz/x8du3KeLytn9MxwsNlDUOm00wm+epX853vZGEhjz+eT3xic0X+TrPz9hi21eyUfhhy77257ba8/HI++9k8//wOfR6W4OH/M3u+5e2355FHsrCQ557L/ffnzJkkO+65l4KHd2DW/F135VvfSpKf/zzf/nYmkx33qAzX8PCObWxkPM799+fYsSws5NFH85nP7KyLecHDOza7S7e6mrvvzhNP5MCBPPlkjh7dunt3zdsxRya4+kajTKc5eDCPPJIPfzhf+lKOHNmcxt8hjPDwblz8ZMxLL+Xmm5PX1+TskEHeCA/vxsU19zffvLVodnl5p8zeCR7ek4tD+ve+l7vuyk9+cpkH6Fw7nNLDFTh/Ph/7WJ55JrfdluPH85GPbMdnXK+AER7eq2HIjTfmBz/ITTfld7/LAw/k/PntXhz/Lgke3qvZdfudd+a73838fB5/PF//+uZM/rVK8HBlNjZy3335/OeT5OGHc+zYtfzfUbqGhyszG89feil3351f/jIHDuTHP87HP35trsC75nYIdpjZRfv+/Xn00Rw5ktOn89BDybY8kvLdM8LD+2E2Of+jH+X48Tz0UJaWrs2lOIKHIk7p4f1zza+rN8JDESM8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPlfRfRLn4u/AiEAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJrUlEQVR4nO3dQYhd52GG4e/eOyNLY8lWpKmnkltQQbgk4IU3ScEkK+8CzsKBkuJikmDIIiQEDKEhKTEUQgJxTRMXAtYiUFovQpUsgiEhq4DBEGLS2gGnxV3E1oyER4ksyfbIM/d0ccca25VV27JHGn3Pw2F00WguZxbv+c/5z3+PRsMwBOgwvto7AGwfwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwVNvOs36+tXeiW0ieLpNpxmPMzeXjY2rvSvbQfB0G4+zspJf/CKTSabTq703HzjB02oYkuSpp/KpT+Wee/LkkxmPr/txXvB027cvv/1tzpzJF7+Y3/8+k8n13bzgaTUaZRhy9Ggeeyxzc/nVr/KNb2QYMplsDv7XI8FTbNb8Jz+Zb34zo1F++MM8+OD1PWMveEoNQzY2Mp1mWJ8OX/5y7rknSX7961y4sHkguB6Nhuv0F4N3bCOZTJ/9rxw/ni98YbT/pkyHjEaz773+53VC8NSZ3Xp/9tk89VSOHMnSUg4fGm7Y/S7KHoatM4A3HhGu/aPD3NXeAdhu6+vZtSs//Wm+9rXs3Zsk8/OjhT3DoaXprX82OvwX48PTlcOv/PfhT995662jW27Jrl2Zm8tkkslk8x1Go0u3PZ1u3suffff/fr3qBE+d8ThJTp7M2lo2Ni5O0o2e+5/Xg85S8if559HsHy8t5fDhHDqUQ4dy+PDmtrSUffuye3d2786ePdm9OzfckPF4883fYhjy2msZhq0jxezF9h8LBE+X2X23JGtrGY3ebkp+NJqbzK2vJ9NhOl5ZmVtevvS7LS3llluytPSmF/v356ab3rQtLGR+/tLvsL6e6TRzc5c+UrzvXMNT6umn8/TTOXcuq6s5fTqrq3nxxbz4YlZPZ/XUdHX1lWluzCgZkgzJ1hzexTjfcHbwVpNJDhzIwYM5cGBr+9CHsriYxcUcPLi5LS5mz55t+n1nBA+bXn45Z8/m3EvTs+dG5574j7N/9w+nzw4rf/pXK/c9sLKck8s5eTIrKzl16tI/PhplPN68o3eZ1Xo33JC9eze3ffuyd28WF/OVr+SjH83GxtY0wQfEKT2lptPNLIch43EmkywsZGEhS0ujZJo7/jKn/zx//4/5479n99kLxx5cO7extj65cCFrazlzJsvLeeGFLC/nxIm88EJOnMiJEzl9Ouvrm9fqbzeSrq1lbS2rq1t/Mx7n3ns39+SDZoSH5PXYNr9Oh4xGwySjv/nb8b/9y2gyzmP/mk//9eyO/SV/fDY//+qrWVnZ6n92OHj++Zw6lVdeyYULmR0vLlzIa69t/eziYn72s9xxhxEetsubJszHo0ynyTj/9HCe+c+c+eMwTDIdMn1T72+cXZ/Nz+/dm6NHc/ToJd7/1VezvJxTp7KysrmdPJlTp/KHP+TgwSwtbb7JB80ID29jdmr+m99kPM7tt2+ttrlslxd7esuLywzda2uZnzdLD1fd8Poa2ys+2754uJi9uPj6jet5toEPz8DbG402b75NJjl/Pp/7XL7//eS9TK/N5vBns4Nzc5mfz/x8du3KeLytn9MxwsNlDUOm00wm+epX853vZGEhjz+eT3xic0X+TrPz9hi21eyUfhhy77257ba8/HI++9k8//wOfR6W4OH/M3u+5e2355FHsrCQ557L/ffnzJkkO+65l4KHd2DW/F135VvfSpKf/zzf/nYmkx33qAzX8PCObWxkPM799+fYsSws5NFH85nP7KyLecHDOza7S7e6mrvvzhNP5MCBPPlkjh7dunt3zdsxRya4+kajTKc5eDCPPJIPfzhf+lKOHNmcxt8hjPDwblz8ZMxLL+Xmm5PX1+TskEHeCA/vxsU19zffvLVodnl5p8zeCR7ek4tD+ve+l7vuyk9+cpkH6Fw7nNLDFTh/Ph/7WJ55JrfdluPH85GPbMdnXK+AER7eq2HIjTfmBz/ITTfld7/LAw/k/PntXhz/Lgke3qvZdfudd+a73838fB5/PF//+uZM/rVK8HBlNjZy3335/OeT5OGHc+zYtfzfUbqGhyszG89feil3351f/jIHDuTHP87HP35trsC75nYIdpjZRfv+/Xn00Rw5ktOn89BDybY8kvLdM8LD+2E2Of+jH+X48Tz0UJaWrs2lOIKHIk7p4f1zza+rN8JDESM8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FPlfRfRLn4u/AiEAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "81f7a1f0cbe35626d7e82ea62ede5b079a8a2982b40db5ec3045024562357f0f"} +{"episode": 38674, "episode_seed": 2067254940, "split": "train", "timestamp": "2025-09-15T23:25:32.748559", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2067254940, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "action": "('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "action": "('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKX0lEQVR4nO3cb6jddQHH8c/9Mwthf1Iq22QTKUpQ5nKbswdFpkJZ0R8KjFLpSY6IgmgFEYUPpXpQQyRY1LSoLElrDyQqUlNXoTkUs0I3JkTWLLNW7d57Tg/ucfe6Nuf+b3xeL+6Dwfmzcw977/v9fb/fc8aGw2GADuMn+gUAx4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocjkiX4Bp4jhcPSHsbET+jrgiBjhX5yxsdFPkpmZuf7hlDI29G/3QIbDjI1l167ccUeWLs1552Xx4ixevO99ZmYyPj733wGcxAR/YNPTmZzMT36SK65IksWLs3p1Vq/OqlW54oosWZLMm+HPzIzKn/2Bk5LgD2xmJhMTueeebNiQxx/Pn/88d9OvfpU1azIYZNeubN2a88/POec874FJJiaO8+uFgxL8wQwGeeqp7NiR7dvz6KP5xS9y1lnZuDFnnpkkt92WD34wr3tdli3LeeeNpgDnnruf57Hsx0lA8Ido164MhznzzNluh9dfP/b5z8/dumBBXv7yLF2alSvzhS/k7LP3/yQzM89bBYTjRfAvwmCQ4TDDYSaft4s5HCa7/z149HcT992Te+/N1q3561/z7LOjm3fuHAW/Y0fuvjvnn5+zz87ChXnJS477LwAjgj9Es2/X80fmqWQ8mUiybVt+/evcdVdmZvK1r+WlL834eDZuzMc+liTnnpu1a7N2bS64IMuWZenSuTX/4TDT00lGa35Gfo4NwR+m4TB33ZU7bs+HPjS8cFWS4dTU2OSCeaXO7thNTmbTpnzpS3niifznP3OPX748q1fnc5/LhRdmMNh3YX96em7OL36OHsEfvje8IffdlxUr8ra35dprs3ZtksFwepjBYGxifG6V/r//zY4defzx/OEP2bYtDz2UBx8cjee//W1WrsxwmCefzPXX57WvzUUX5fWv33e3H44SwR+y2fM4W7bk7W/P5OSo3Fe+Mm9+cz75yaxePbrbYLC/4Xl6On/5S556Ko88kiefzIYNo+H9m9/MtdcmyZIlOeusrFiRdetyySW5+OIsWTL6K+GICf6Qzdb3ox9lw4b8/vejsGffxdNPz6WX5rOfzapVo7W56emMjw/Hh4PRPSb/78MLs8Hffnu+/OU8/HCeeWa0jZ9kYiILF2bz5rzjHaNTQHBkBH/4BoNs2pSvfz0PPJA9e0Zj8Ozb+da35hOfyLp1WbQoSaamMjmZsbGMVvuT/V+cP/tstm7N/ffn/vuzfXt27szpp+eHP8zFF49OAcGREfzh2zvRvvnmfPe7ufPOTE9nYiJjY6N5/pVX5gMfyJVXji7J9956kKebtXt37r03zzyTyy/PokVm9RwVgj8isydoxsczM5MtW/K97+Vb30qSycmMj2fPniS59NK8+9255posXJj8X9f7mt3zHwyyYMHx+AUoI/gjtXf3LcmePdm6NZs3Z9OmUdgTE6PRfuXKXHVV1q8fTfJzoFW9+c87G/8LzQrg0Aj+6Jif/fR0HnssX/lKbrklu3cnyfh4BoMkWbEiH/5wrrsur3jF6IF7P1wLx4Hgj6bZJbm9h2i2b88NN+THP87OnUkyMTFagD/jjHz0o7n66rz61clzX6hhDZ7jQPDHxPwL9R07cuON2bIljzySJAsWZGoqSRYtykc+kve8J+vWJc8drrMSzzEl+GNo9jJ8tuEnnsitt+bb385DDyXJaadlairDYZYsyfvel/e/P5ddlhz0wh6OjOCPucEg09M57bQk2bEjP/1pNm7Mgw8mmTuod8YZedObsn59Lr989Kj9fUgHjpTgj5PBIDMzo722Xbvys5/lhhvym98kmTuot3BhLroon/lMLrtsNC+YXerzlVkcLYI/ruYHPLt1/8Uv5oEH8q9/Jc+VPzaWdevy6U/njW/My16WJFNTmZiQPUeB4E+AfabrW7bkpptyzz35+9+TeYv5l1yS667LW96SZcuSZM+e0XkeOGyCP5Hmb+PdeWe+8518//v55z8zPp7JydFBvTVrctVVee97s3x5EmfqOSKCP/Hm78P/8pe57bbcdFN2787YWCYnR3t4F1yQd74z69ePRvsc9Igu7I/gTxbT03Nfaf/YY/nGN3LjjfnHP5J5k/zly/Oud+VTnzrgt2PCCxP8SWT+vn2SP/0pX/1qbrlldFBv7/nchQtz9dX5+Mdzzjk+YsOhEfxJZ5/zuU8/nY0bc+utefjhJJmcHF0CvOpV2bZt9O345va8SII/qe29UH/66dx8c37wg9x9d5JMTOSaa7Jp036+/xJegOBPdvM/h7drV7ZsyebN+fnP8+ijec1rjO0cGsGfGuYf1Pvb3/LHP2bNmhP9mjgFCf5UMhhkMBiN9rblOAyCP/Xss6oHL57goYhhAooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8DwznszNBXP3cAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "action": "('move', [-6.097990371335815, 9.139221031069566, 6.174900132411845])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "afa311fe56d1da05b38652dcd9d8e0771f2235f4ca0d57e848634c2957e8b548"} +{"episode": 38675, "episode_seed": 1732702659, "split": "train", "timestamp": "2025-09-15T23:25:33.754476", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1732702659, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "action": "('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "action": "('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "action": "('move', [-3.99546638530051, 0.38472649424813615, -26.374885681024946])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c641a8ff348ef44c7cbb82b8132f73ab276cf83d7ef4c6a750fae0d557f06ae7"} +{"episode": 38676, "episode_seed": 4044678754, "split": "train", "timestamp": "2025-09-15T23:25:34.400418", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4044678754, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "action": "('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "action": "('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "action": "('move', [-163.03197916940823, 139.45635940088079, -8.45787682123163])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "25828ddf5487fde2a6a70e47a8ef4b32ac71089f704e6629c88a466c45bb1e6f"} +{"episode": 38677, "episode_seed": 2691216423, "split": "train", "timestamp": "2025-09-15T23:25:35.056929", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2691216423, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "action": "('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "action": "('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "action": "('move', [7.5327563929929715, -0.599852175164047, 32.000234151583605])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "10771b34456e93a39475d836b36f2bea4501d97d33cc33ee63cc9b0ad52d8bb5"} +{"episode": 38678, "episode_seed": 2742820810, "split": "train", "timestamp": "2025-09-15T23:25:35.716328", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2742820810, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "action": "('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "action": "('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALJElEQVR4nO3dT4hVZQPH8d9z73XUHM1QdLSCMspyiJTMP1FqFkRZRi7CjRBIQbgJghbtjYIgyEUlraqFlISrFlOag6Y4pVYzMkmaZlQ6aablv5l7z3kX57y+7+Kljfec57z39/2s9Kwejn7nec5z/kxI01QAPNRiDwBAeQgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCR1ulaewR4J8QPNqn2VSSxB4E/klI+ZGM9koS1ZhIKop/GFyzbM4YHdVHH2nVKg0P/+cgKobgcc2ytkdGtHGjPv1U77xD7ZVF8LhmtZpaLc2erTVr1Gjovfd0+LDEJF9FBI82qdW0bp1uu02XL+u11xRC7AHhfyB4tEO9rmZTc+Zo7Vo1GtqyRbt2KQQm+aoheLRJtrB/4QVNm6aJE3XmjMSqvnK4LYf2SVOFoP5+TZ+uefPyg6ztq4Tg0VZXb8Jn8f/3H1ABLOnRVrWa0lRJohA0MqLTp6m9UggeBajVtGuXnn5aL72kS5eUplzMVwTBoxj792vPHn3yiQYG2K6vDoJHu2Vtr1unhQv19996+22NjuZLfcRG8Gi3Wk3NpqZN03PPKQRt3aqBgdhjQo7gUYBsPl+9WosXq9XSxo3s1VcEwaMA2STf06N169TVpb4+ffGFJN6Wj4778ChGdnPur7/0yCM6eFBLl+qzzzR+vEJgqo+IGR7FyKqeOlXPP68kUb2uCxf4MEZ0zPAoUprqyhVt366lSzV1qiRm+LgIHmXh01cVwD8AipdNKrWajh/XhQs8eBcRwaMU58/rjTe0erX6+ljSR0TwKNjVO/DbtmlwUJs26cIFHraNheBRsBDUamnKFL38skLQzp3q68uPo3QEj+JlD96tXKlHH1Wa6tVXNTbGDB8FwaN4IajZVHe31q/XhAn6+mtt2aIQePCufASPUjQaarX0xBNatkyS3nxTly5JfPSubASPUmS7dBMmaMMGTZyooSFt3px/9xIlIniUpdFQkmjVKi1ZorExnTolsXVXNp60Q4myW3QHDmhsTAsWqNGQxON3ZSJ4xMNL8qXjhytiyPbnQ9DJk1zGl4ngUbpsYh8a0jPPaO3a/HfUcIuuFASP0mVfrf/9d338sfr7tW2bxO5dSbiGR+my/3JJovXr9cEHuuUWffONurtpvgTM8Chd9nR9va5nn1V3t378UZs38zpNOQgeMWT35Fes0OOPS9KmTTp7lvfkS0DwiCTbpXvxRXV368QJvfUWD96VgOARSTbJL16sJ59Umur993XkiOp1tusLRfCIJ7tuf+UVNRo6f17Hj/MKXdHYpUcFbN2q++/XrFkS9+eKRfCAEZb0qABmnbIQPCqAZXxZCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwaO60lRJojSNPY4OQvCorhBUq0lSsxl7KJ2C4FFFaao01cmTOnZMIajRiD2gTkHwqKIkUQh6/XU99pg2bNCHH0pibd8GIeUsomKSRLWazp7VU09p1y5J6u3V0JBaLdXrsQf3f44ZHpWTJJI0PKzhYdVqGjdOa9bEHlOnIHhU1OHDOn1aIShJtGyZpHwDD9eCU4hqSVPV60oSHTggSUmiyZO1dKkkhRB3aJ2A4FE5IWhkRHv3SlKa6r77NGlS7DF1CoJHtWSbyKdOaWgo36JbuTLuiDoKwaNasgv1777TlSv57fcseO4mtQXBo3JaLfX3S9LoqGbN0pw5sQfUQQgelXPxonbulKQ01YMPasqUyOPpJASPCsnW7T//rKNH1dUlScuXq6tLacoWfXsQPCpn506FkD9Xd889Ehfw7UPwqJwdO5SmarV0xx266abYo+ksBI8KySb2PXvyvy5apBtvzI+jLQgeVZGt27/6SmfP5jfnFixQo6Fmk+DbhuBRFdnHbXbs0OiokkTd3ertjT2mjkPwqIpsK3737vxtublz8+B5Z6aNOJeohOydmT/+0NGj+ZHbb1dPj5pNgm8nziUqodVSCBoY0MhIfmT+/PzdWLQRwaMSsh27ffv055+SNH26liyRxCdu2ozgUQm1mlotfftt/tcZM3TvvUpT1vNtxulEfEmiel0nTuiHH/Ijd96p7m5uyLUfwSO+7EL90CEdOSJJ9bpWrJDYny8AZxRVceiQLl9Wrabx47V8uUTwBeCMIrI0VaOhS5d08KAkJYlmzNDdd0s8UVsAgkdk2f78r79q3778yLJlCoE35ApB8IgsC/unn3T8uBoNhaCHH449ps5F8Igsu1Dfv18h5BP7Aw/EHlPnInjElD0/f/my+vuVphobU2+venokLuCLQfCI79w57d6tWk0haOVKTZwYe0Cdi+AR3/Cwzp1To6E01fLl7NgViOARU9b2jh2S1Gzquut0110SH7ErDMEjshD0+eeSlCRauFAzZ8YeUEcjeESTTeNnzmhoKN+iW7RIN9zAOzMF4rwimiz43bt18WIe/Pz5+WtzKEgj9gDgKwt++/a88NmzNXeuxA25IjHDI6Y0zX8ttKR58zR3Lr9kplgEjziyd+CPHdNvv+VHens1eTIfsSsWpxZxZO/Af/mlTp+WpK4uzZ/P3bjCETziyILfu1dXrkhST48WLlQIfMSuWASPCNJU48ZpbEzff58fuflm9fYqSbiALxbBI4Is7MHB/JtW+vdHqbOPVaM4BI8IsvX84KB++UUhaPz4/JVYtuuKxglG2a4+SDc4mO/STZqkhx6SCL54nGCU7epvlRoYUJoqTXXrrZo5kwv4MvCkHcpWqylNdf31evddbd+uvj4tWcLzNiUJKbc+ARss6RFTtqRHaVjSIyaW8SVjhgeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8C2JeuFw48xFUAAAAASUVORK5CYII=", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "action": "('move', [-3.3347662068781503, 29.27943130262381, 20.546014489129032])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "66871bec7098d91d6c44e833f30e44289a75e87ce8e9609af0001fcc67cd99c3"} +{"episode": 38679, "episode_seed": 1508732416, "split": "train", "timestamp": "2025-09-15T23:25:36.716205", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1508732416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "action": "('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "action": "('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJVklEQVR4nO3dX4ildR3H8c/5M7sEIlRrRNIfKiOKEsorDSSJLmzpJm8KyjVWSNwgvKlEym01gqC/0FIpQQuSkTdleCGIIHtnCwlFInhRJIKam1a7zZlzni7m7O4pLLUaZ3Y+rxfLMPA8yzwM+57v7/nNc86OhmEI0GG83RcAvHIED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0Wm230BsLsMwz99HIaMxxmfmayzWRaLc4c2LRaZTLJ3b0ajrb46wcOLGYaMRnnyydx/f55/PsOQ2SzDkNOnc/312bcvSf7whxw7lmefzTBkYyPz+fLjbJYPfzgf/3g2NjKd5siRnDiR0ejcCcOQv/wl731vvva17Nu3/FpbZjSc/TEDvKD5PJNJHnwwV12Vf+nlV7/K+96XJMeP58orM5+/wF//5Cfz4x/n73/P3r259NI88sgLnPPGN+ahh/LmN2exOLcc2AImPLw0+/Zl//4880z27MlolLW1rK/n1a9eHn3963Pw4Lmjk0kmk+Vi/qqrkmQ6TZJDh/LYY5lOMx4vT5hOMxrl4ovzmtck2epVvQkPL836ep59djmBR6OMx1ks8trXZjJJksUip09nGDKZLI+ORss/WzmxXy7Bwytoda9u9ZOzPyO2mCU9vGSbG+ybRqPlDvxZ/252rma8+fnWh/3vmPBQZAfdXQBbTfBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPDsCMOQYdjuiyggeHaE0SijUeZz2W8twbPNFos891x++cucOpXJJMOQ+Xy7r2n3EjzbaRgyHue7383+/TlwIA8+mPE4k0lmM6N+S4wG31e2yTBkNMqjj+aKK/Lcc5nN8qpX5cCB3HBD3vOeJFksMjaS/q98O9k2m7PmkUfypz9lNstkklOncvRoPvrR3HJL/vznZe328/6PTHi22alT+d3v8qUv5d57k2QyWd7Dv+Md+fzn86lPZTpNkvk8k8l2XufuIHh2hGHIvffm1ltz4kSSTKfZ2EiSyy/PbbflAx/I2loWiwyD7P8ngmf7bd7MJ5nP8+1v584789vfJivZHziQG2/MZZclyfp61taW5/NyCZ6d4mz2v/99jh7NnXfmqaeW6/mNjVx4YT7zmRw8mEsuSezn/bcEzw4yDNnYyNpakjz8cO64I9//fpKsrWU2S5J3vjPXXZfPfS579izPN+pfFsGz4ywWWSwynWY+z/HjOXw4DzyQrKzwL700t9ySa645d75p/xIJnh3q7Lb8bJa7785tt+XRR5Mz2U8m+eAHc/vtueyyjMdZLJLI/sUJnp1r89/m5qL9r3/N17+eY8fy+OPJyrS/4YYcOpR3vStJZrNMpxb5/4ngOQ+cLf+xx/Ktb+Wuu3LyZKbT5eL/da/LoUP59Kdz8cV+dfciBM95Y2NjuWn/0EP53vfyk58kK/t5739/rrsuN96Y/PPSgFWC53xydoCfPp0HHsiXv5yHH05Wsr/88tx8cz7ykXPnu7FfJXjOM5uvn90c9X/7W44dy5Ej+eMfkzOP5e7dm6uvzpEjefe7k2Q+z2gk+yXBc15aXbSfPJnbb89dd+WJJ5ZvpLFYZO/e3HRTDh7MW9+a2M87Q/Cc384+e/PrX+eb38xPf5pTp87t573pTbnppnziE7noIqM+ETy7wOrzeffdl6NH84tfJCs39ldckeuvz7XXJsl8nvG4d9QLnl1i80W1k0mefz733ZevfCW/+U1yJvvJJB/6UL74xVx55fL8zsdyBc/usbqfd/JkfvSjfPWrefrpJMun8S64IB/7WG69NW95S1K5nyd4dpvNd8jZzPiJJ3L4cO65J888k/F4eeiCC3Lzzbn22rzhDcvze0a94NmdVjM+fjzf+EZ+/vNsbGTPnuU7ZF5ySb7whezfn4suEjzsCquL/J/9LD/4Qe6/P0n27Mn6epJ89rP5zne28wpfYU23L/QZjZYvs53Pc801ufvu3HFH3va2rK8vn7fffBednqlnwlNh9Vd3Tz6ZH/4whw/n6qtzzz1ZWyu6jRc8RVZfNn/iRC68MG9/e1HtETyFqgr/F+7hqbNZe+f/bzHd7guA7dE55E14KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPIPzyFfw0W0AG4AAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "action": "('move', [23.529187459118614, 33.29362253881826, 30.28895831071323])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "020f15e32e57addbdc280137dbfd01ca9368a7e3dfb940a3b36f5b1842eac8c5"} +{"episode": 38680, "episode_seed": 1191123727, "split": "train", "timestamp": "2025-09-15T23:25:37.363076", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1191123727, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "action": "('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "action": "('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvklEQVR4nO3d3W8UZQOG8Xtm25gGsRqxEYJg2pggRGNVtBGUCJQYhBggfEQ0BhLjqWccmPhfGAgk6oFoohSiIGpbQEBMA1VolPiBqKlCD7DBqiml3Zl5D2Yo0CIf7/vq7sx9/Y7a7XbzHOy1z8wzz+4GSZIIgIew0gMA8O8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEX3RRpCiq9CBQLYIkSSo9BvxjkkRBIElRpFKp0qNB5THDF1dae1eXenqoHSmCL6g4VhCov1+vvqrFi7VxY6UHhKpQU+kB4J8RxwpDHTumQ4c0OKipU6VLjvDhihm+oMJQSaKuLg0OqrFRjz9e6QGhKhB8ESWJwlADA9qzR2GoZ57RxImVHhOqAsEXUXrl5dgx7dunOFZrq0ql7Kwe3jiHL6I07Lvu0sqV6uvTjBnShVcBeOM6fEGli3bDwzp/XhMmKORQDhLBA1Z44S+iJNGpUyqXs5+BCwi+iIJA69drzRp1dkpiLz1GEXyxpPP5F1+ovV1tbTp5UkGgOK70sFAtCL5Y0sn8vfcUhrr3Xq1aJUk1XItBhuALJN05Wy6rs1NxrOZm3XabymUuv2MUwRdIFCkMdfCgfvhBYagVKyRxQQ6X4tlQIOkM396ugQFNnqzWVongcRmeDUWRJKqp0cCAuroUBFq4UBMnck0OYxB8UUSRgkDd3eruVpJo9Wpqx3jstCuK9Hj+7Fnt2KGPP9aWLaqvr/SYUHUIvkDS/fPA3+P5USBp7VHEThv8HYIvijjW0aP67juVStnH3QDjEHz+pW0PDmrDBrW2atOmSg8I1YtNl0XR26uODkmqq5OkKGJHLcZjhs+/IFCS6IMPJOn++zVvXnYjMA7BF0IQqK1NkmbP1t13K4755glcEcHnXHoC//XXOnpUtbWaO1dJkn30BTAOwedcegVu2zbFsaZP16JFCgLV1lZ6WKhSBJ9z6ftht29XkuihhzRlCu+HxVUQfJ6lW+tOnNDwsMJQS5dKLNfhathaWwg9PfrsM61erUmTKj0UVDWCz7kkyb5YCrgOPFFyLgiy2stlttPimgg+t9L1+Z07tXmzBgdVU8PZO66J4PNp9PthX3tNL72kDRuY3nE9CD6f0un9m2/U1SUpu/xO87gWgs+n9Oj98GENDGjaND34oMS3SuHaCD6H0uP5v/7Shx8qCLRkiRoaJD6gFtfGUyS3env16adKEs2bp9pavkAO14Pgcyg9nt+7VyMjmjFDzc2VHhByg+DzaXhYGzcqSfTYY7rnHvbe4DrxoSj5VC6rsVG//645c7JfeYccrgNba3NraEjHj2v6dE2alH0oPXAtBA8Y4cQvt5JEUcS1d9wQZnjACDM8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wUrTgk6TSIwCqWNGCDwJJimPKB66gOMEniX77TX19ShKFoYJAUaQoonzgouIEHwR65RU1Nenll7Vvn86cUamkUklJopERsgckKUiKksIff2jmTPX1KY4lac4cLVumJ57Q7NnZHUZGVCopLM5LHHDDihB8HCsM9c47evZZSaqpkaRyWZImT9a8eZo/X8uX6/bbszsHQXaqD7gpQvBJoiDQqVM6cEBvvaXdu7PbSyVFkSSFoWbN0pw5euEFtbRc9o8S8cNIEYK/1Llz+vlnvfuu3nxTv/ySBR8EWdsTJ2rGDK1bp+XL1dBw2ZJ+us4HFFtxgk+SrNtUuayPPtLrr6u7W7/+mt04Wv7NN2vlSj3/vGbNUkND9ldO8lF4xQk+Nf4o/ccf9fbb2rtX3d36809Jqqm5eLnu4Ye1apXmztWjj2apj4woDFUq/ftjB/5xRQv+UumxeppuuayODnV2avduffutpGwyHxmRpPp6PfWU5s/XkiWaMiX7X4nZHkVT5OBTcawoUm1t9uvJkzpyRDt2aNu2rOqammxJX9J996mlRWvWaP78i4/A2h4Ko/jBp5JEUaQgyCb8oSH19mr7dr3xhk6cuJh0+sMtt6ipSWvXau1a3XnnxUdIr/9RPvLLJfhRY47Vh4d18KA2bdLnn+v06bF3njBBS5dq/Xo98IDuuCO7kbU95Jdd8KnxR+mnT2vrVu3erZ4enT0rXb62N3OmnntOTz6p5mbddJN0YW2PCR/5Yhr8pdJj9dFl+Y4OdXRozx59+aUkBYFqazU8LEl1dVqyRAsWaOFCNTVJXMNH3hB8ZsxJfm+vurq0c6fa2nTunDRuwm9p0YoVWrz4skcQa3uobgR/mTR7XdiQf/68fvpJ7e3avFnHj2f3GbO2t2yZ1q3T1KkVGjFwIwj+yuJYcZxlL2loSEeOaMsWffKJ+vuzF4VRdXVatEgvvqiWFtXXX/wvoNoQ/NWM2a4rqb9fW7fq/ff11Vc6c0aSwjC7m6TGRm3erAULVC6TPaoRwV+vMfEfOKBdu7R/vw4flpR92Matt2rnTj3yiKKIzbmoRgR/Y8as7Z0+rUOH1N6utjadPaunn9auXdSO6kXw/430Sl4cZzt2o0jff6/9+zVtmhYvJnhUL4L/n4xZ2wOqHMH/H4xf2wOqE8EDRpiVACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwH+LzidfEgz/MAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "action": "('move', [5.057000523948889, 5.91329201587357, 46.404154244460834])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIbklEQVR4nO3d3a9cVR3H4d+aOT0pDYYLLRWRtxhMaHuDQICK2EqNKEaitZTwB/CXaXiJEkGMiIm0tGgRqFyUBNSCDcEEDCpNaYpzZi8v9tGIllIS9TDzfZ7LuVrJ7M+stWfW2tN67wVkmGz0AID/H8FDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMFDEMEvuWGoYdjoQfCxsbLRA+B/qPeaTKqq5vOqqul0Y4fDxhP8MmutTp6sqrrqqo0eCh8Prfe+0WPgv298V8+cqXvvrddeq337as+e2r27eq/WNnpwbBwz/HIahppO68Vj/emn+6lTk5deqrfeqt27118nluCX2a+fq1On2qZNtbJSBw5U1fotPbG8/0uo95pO65136mdPtmptbVbbPrl2++1VZT2fTvBLaLyB/8Orw6FfDJNW1eo7+6fmdkrwS6m16lWHn5mcnU1WVqr3Yd++Vv/4ICCZ4JfN+D387G/9oQfmVTWb1bWf6zt3ap0qwS+rkyfbs8+O03vtPzC9+BOt3MAj+GX16KM1m6/3fccdNZmsb7YjnOCX08MPV1WtrdUNN9R111WZ3qkqwS+Z8Qb+5Zfr+PH1wvfurcsuq2EQPFWCXzLDUL3XQw8M773Xq+qii2rXrqqq+VzwVNlpt0zG6b21evLnNQytqnbsqFtuqapa8T5TVWb4ZTIMNZnU88/X706Mb+tw0w3zSy+t2cz0zjrBL4/xQRc/eXz+p7eGqrr44snX7pyUr+v4F5Z6S2I8Bnf2bP3q6PppuCuv6Lv3tHFfPYzM8EtiXM8fe6E///y4qa7fcnO/5BJf1/E+ZvilcvRovf12tVabNrX997R/PuIKRi6HZdB7razUqVP11MHWWquqT39q/pU7qjXB8z4uh2UwHoM7caIOHlx/5a5vTVZXHY/j3wl+GbRWvdfRo3X6dI0HZg7c68adcxD8Mmitzp6tRx6pqlpbqyuvrBtv3Ogx8bEk+IU3rtvfeKMOH16f3vfvr82bq/wCz38Q/MIbq37iiXrvvWqTqhq+8fU+nfrDGc5B8Eviwe/NW6u1We3c2a7bbmbn3AS/2Mb1/Kuv1nO/mbZWvfc776zLLvOHE5yb4BfbeB724Yf6bFZVtbrav/TFKudh+QB22i228Tzs4z/uvbfea8eOyQ03VfnDCT6A62KBjfvnjx+vV34/vo/9lpuHyy+v2UzwnJvrYoGNz6V89JH5n9/uVbVlS9u9xzqe87GkX1TjudfZrA7/cjr+AnfNNX3Pnjbuq4dzMsMvqvm8JpM6dqxefHF8od/4hb51a62t+bqOD2QuWGxHjtSbb1Zrtbravv3dVr6u47xcHQtpXM+/+24dObJ+cubSS+ure8vzbTg/wS+k8Tnzv31lOHRw6L2q1d69tWXLRg+Ljz3BL6TxLv25FyZ/+WvbtKmq9/vuc/qdDyf4xTM+uOrMmXrsR72qra3VZ7YNu3atb8KB8xD8ovrjG/3gwT7ese+7Zzqeh4XzE/ziGafxpw61d89MptPqfbj77j6ZWNLz4QS/qB78/ry1ms3q89fWdudhuTCCX0ivv16Hn5mMP8jd9c3Jtm0bPSAWhOAXTB+q9/rhD/ps1lqrlZVh95eHycQGOy6I4BdMr2qtHnt0GB9itX375PrrJ2WDHRfG1tpFMp6HPXGiDh2ZDvOqqttuq89eUfO5DXZcEPPCIhkX7Vu31hM/rfvvr6uvrltvrdY8r5IL1bofcxbTMNTp07V5c62ubvRQWByCX0jj2h4+KlfNQhpr91nNRyX4BeZ3OD4qwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQvwN9VpntntA7+gAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "50325222618d2ac17ff264e661b73792228059afc1606aeb9a34225e161d93ff"} +{"episode": 38681, "episode_seed": 2708439886, "split": "train", "timestamp": "2025-09-15T23:25:38.002549", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2708439886, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "action": "('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "action": "('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALTElEQVR4nO3dXYgV5QPH8d+ZOeesZL6EWV4oJmpRRhGlmBWmiJlQ6RYFUfSmZSJ0sZFlBeFFqOgiWBa6ihVFGZGblpSlvRhRa5lhEnWhS+FLZQi+5J636WLmb//LdM9xd+b3/VwedGdg97vPM888M5uLokgAPAQ9fQIAzh6CB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggekqRqVZWKoqinzwONlYv4HgM2GOEhSdq9W5s26eRJSYzzGUbw3mo1SfrqK91yi2bN0s6dklSt9uxJoXEI3lsQSNLIkTp4UIcOaetW6X+/BZBFBA/pggs0Y4aCQF9/rVJJxSKz+qwieEiSmptVq6mjQ99/LzGrzyyCtxcP5hMm6LzzdPCgvvtOknK5nj0pNAjB24vbHjxYN92kXE5ffKETJxSGzOozieB7u7i7xtZXq6lY1PTpiiJ98IH27Wv8IdEzCL5Xq9WSATiXa/xl9VVXacgQRZF+/TU5JDKHnXa9VxQpl1OppCVLNHq07rpLtVpyH60hRzp2TJ98otGjddllDTgGegWC76WiSFGkzk49/7za2tS3r7Zs0bXXNqz5/xfPJcKwwYdBD2BK30vFYX/8sdraVCjo+HHdf79++UVB0Mh9MadSp/aMIvheKg779ts1c6bKZTU16eef9dhjOnq0Yc1HkcJQhw/r1VfV2tqAA6DnMaXvveJB/tAh3Xyzdu5UU5O6ujRvnlasSBbz6rysFu+xW7xYzzyjfv20b5/696/rAdDzGOF7r3gkv/BCrVqlwYPV1aUw1AsvqLVVQdCARft4Gn/ddTr3XB05os2bFUXsq88Ygu/VgkBRpGuu0cqVKhSSUX3BAm3cqHy+3jGGoWo1jR+vSy5RFKm9XbkcwWcMwfd2cXR33KHnnlOlolxOXV165BHt2ZP8OqinWk35vCZOlKQdO/Tnn2y5yxiCT4F4Aj9/vh54QLWaCgUdOKD77tPhw/Ueg+NZfXOzikV1dmrr1rOy4wdnD8GnQxAoDNXaqilTVC6rTx/t2KG5cyUpl6vfGBwvA44dq1GjVC7rs88k9thmCsGnQzzQDhyo5cs1apROnlQ+r/Xr9eSTiqK6vn4yihQEuvVWRZG2bFFnpwoFruQzg+BTIwxVrWrMGK1cqb59k5t2S5dq3ToVCvWedzc3a8gQXXqpjh2r69dFD+M+fMrEnbe1afbsZKF+0CBt2KAJE5Id8fVRLqujQ+PHJwuDPEiTFQSfPtWqwlDz52vJEuXzqlQ0cqS2bdOwYfVuM/7ZoPYMIfj0ib9jpZLuvVdvv61iUaWSbrxRH36oYrFOT9fEW27YUZ85XMOnT7ws39SkZct09dXJjthPP9Wjj6pSUa1WpwW8IFBHh+65Ry+/zKJdZhB8KsV35ocN08qVGjxYpZLCUGvXatmyZJLfrebj/1ytas0avf661q7ViRP/fo40I/i0ihftx43TqlXq00dBoHxeixZp40YVCt1rM74HmM9r2jQVi/r2W+3dW7fzRo8i+BSLm58xQwsXqlxWFOnIEc2Zk+y67dY0PF4GuPJKXXyxajVt3iyxepcFBJ9u8QMvLS2aNUvVqgoF7d+vu+/W4cPd22kfBKpUNHy4xo6VpHfeqd8poycRfOrlcgoCLVumiRNVLqtY1K5deuih5EmbM28+3nJ3ww0KAu3apZ9+Sj5EmhF86sXPz/Tvr9WrddFFyQJee7sWLOjertv4ObnJkzVihCoVbdok8WfnUo/gsyC+Yh89Wq+9pkGDJCmf1/LleuWVbizgxXcChg/X5ZerWtXatd2eM6DnEXxGxHlef70WL05W3KJILS3avr0br8eJ8545U1Onas6c5OKBpbs0Y6dddsQT+HjX7dKlyRr+iBH66CONGtWNHXh//62uLg0cyE7bDCD4TIn30leram7We+8lu24nTdKGDerfv3s77c/GC/HRcHwLMyWeg4eh1qzRFVeoVFKhoG3b1NLSjRdSxkNCEGj/fh09+u8nSCGCz5q4+fPP1xtvaOhQlcvK59XWptbWZJJ/Jl+xUtHChZo+XW++KUmVSr3PGmcJwWdQfKNuzBitWKEBAyQpn9fTT6u9XWF4RrVGkd5/X7t26fPPk9dlM8inE8FnUy6nclm33aannkoeoevq0sMP65tvkqdrTkMUqVDQ3LkKAn35pfbubfDfu0IDEXw25XLJ+3Aefzx5122xqN9/17x5+u2303ynfTyYjxunPn3U2ak9exp21mg4gs+s+K55GOqllzRpkkolNTWpo0MtLSqXpf++9Bav7A8dqsmTVavprbeY1acXwWfZqVdlrFunkSOTTtev17PPns6sPF4S6NdPU6dqwACdc466uhp73mgY7sNnX3z7fft2zZypv/5KHoRbvVqzZv3nm+vxv9u/X7t3a/Jk5fMNP2k0BsFbqFSUz2vNGs2enXzSt6/efVdTpiSvxDw9vMc2tZjSWwhDlct68EE98YSiSPm8jh/XnDn64YfT2WlfqyUP31F7ahG8hXjRXtKiRbrzzuT1OAcO6McfT+f5t/g1WtSeZkzpjcRX4n/8oWnTdOSIXnxR06axR94LwXuJ5+O7dyuX05gx1G6H4O2cugY/k+U6pBz3V+yc+ovv1G6IER4wwgUcYITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5B2iVBZL+LUq+AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "action": "('move', [1.031664868686733, 0.27514812581465303, -10.713161466782916])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "31814628a849eeaed2677c027fe13544c9a00f892ee522348dc41bb7d6021293"} +{"episode": 38682, "episode_seed": 3468281246, "split": "train", "timestamp": "2025-09-15T23:25:39.002411", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3468281246, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "action": "('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "action": "('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "action": "('move', [-6.610020628601167, 5.86005119231595, -42.62737179621829])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a3bc789874e8b3fa20a868b1b81ee224483b9daca2cea96603af3adbdc3a2a2b"} +{"episode": 38683, "episode_seed": 1961485296, "split": "train", "timestamp": "2025-09-15T23:25:39.652613", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1961485296, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "action": "('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "action": "('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "action": "('move', [1.9876660546983196, 1.0310835810955885, -36.417080538650566])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "462dea89d6438a9e4f710d117c87d4fd3bd4ebc44aaef0d8ad6b4f9af9815440"} +{"episode": 38684, "episode_seed": 2540514317, "split": "train", "timestamp": "2025-09-15T23:25:40.288993", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2540514317, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "action": "('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "action": "('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALiklEQVR4nO3dW4hV9QLH8d/ae7aVlxiNIO837CGyCEKjVCi1y2BmlhSiaTNFBVqgidNAD5pkmlljIEhKL5VFgaVdwUyYwkEGR1A0RJNKK4uG8daMe/Ze+zysdczDOXBSh1lr79/382b7ZdHe3/n/11r/9V9BqVQSAA+ZpA8AQM8heMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBB8BSmVkj4CpB3BV4ozZxQECsOkjwOpRvBlLgzV0aE1azRxog4cUCajQiHpY0J6BSXmgeUrDJXJ6OhR3Xqr2to0erTeflsTJ6pQUDarIEj6+JA6jPDlLJORpJEj1dio6modOaJZs/Thh6qqUhhySo//RvDlr1TSnDn64AMNG6YTJ1RXp3XrGOHxPzGlrwhdXcrl1Nqqujq1tiqX0/PPa8WKeAoA/BvBV4pCQVVV+ukn1dVp+3ZJWrdOCxeqWFQmw2iPCMFXkOga3qlTmj9fbW36+GNVV8fBl0qM9hDBV5pSSUGgzk51dqq6Ov5nJPpzAG/8AipLEKhU0pVXxmN7EOjAAc2YoaameJyHN4KvOFHz0Uz+5EktWaJPPtHs2dq2Lf6I7I0RfCUKAmWzKpXUt6/q6jRkiI4d09y5euuteIbPClxXnMNXtOi8fdcu1dbq+++Vy+nFF9XQEP854NK9H4KvdFHYhw5p3jw1N0vSggVatUpXXSWJ5t0QvIFonP/tNz35pD79VJKeeUbr1yd9WEgA5/AGMhkVi7ruOr37rubPV69emjRJ4vl5R4zwNopFZbPq6NChQ7r55v/4KAwVBEzvHRC8k/MX6qIvPQzV2KhRozRjBk/UmqhK+gDQgy6sPQi0aZMWL9aAAfrrL82eHU8BUNE4h/dzfvY+fLjGjFFbmx5/XG+8Ed+rY8ZX0ZjSJ+D8EJvwQQSB9u/XY4+ptVVBoPp6vfzy3x+hEhF8TztfU3SzLMm4ojn8L79ozhx9840kPfGEGhvVuzfNVyqm9D0q6qhQ0GefaepUtbQoCFQsJnQ02azCUIMGads2PfywJG3cqEcf1enT8ap7VByC7zlRQadOadEiTZumHTu0fLk6OhLdfi6TURiqTx+9/74WLlQ2q1691NWlUklhyAa4lYcpfc+JIvrzT02frt27lc0ql9OGDZo7N96uJskji4b0d97RlCkaOPDvK/Y8RV9ZCL5HRR3t3q0779S5cyoWNXasPv9cgwcrDJO+KXbhXfogUEuLjhzRI4+wLKeS8Me7R2WzKhY1bpxqa1UsKpfTvn3xQ6up2J+iUIjzPnxYM2eqrk4bN8Zb4vFEbUUg+J4W3e1evlxDh6pQUCaj1au1d28KRtAgUFVVfBydnQoCnT2rp5/WypVM7CsG32Iy+vfXK6/EW0t2dqqhITUjaHQyf+ON2rFD48erWFRDg5Ys0a+/SjxvU/YIPhmlkh56SDU18Rr2L77Q5s2puRcWTeBHj9aWLZo+XZLWrtXOnRLBlz0u2iUjmiM3N2vaNLW3Kww1YoSam3XttVLii/Ai0QXGkyf13HPK57V+vaqrkz4mXC6CT0a0zWQQqKFBq1crl1NXl559Vo2NSd+iu1DUfGenikX16ZP00aAbEHxiokH++HHdd5/27VMQqH9/bdmiSZPS9Nza+ct1LLatCJzDJyaTUVeXBg/W4sXKZJTNqq1NK1eqo0NKz76y0d1Caq8UBJ+kXE6lkubN0913x7fovvxSmzfHt+7SglU3FYQpfcKi//3792v8eOXzCkONHKmmJg0axM1vdD9+UAmLhs+xY7VokYpFVVXphx+0dm38EdC9GOGTF50jt7drwgQdPBhfov/uO40bx7kzuhkjfPKiQX7AAK1YoVxOmYwKBS1eHC9sB7oRwadFGOreezVzpvJ5ZTL69ltt2BA/bAN0F6b0aRGtt2ltVU2N/vhDxaKGDdPOnRo2LH6WDrh8/I7SoqpKhYJuuUV1dfHCm59/1quvspcsuhMjfIpEZ+xnz+q223TwoIJAV1yhrVs1ZUqa1tuinDHCp0i0qq1fP730Unwlr6NDq1bp9OmULcVB2SL4dInCnjlTDz4Yb4mzfbvee4+bc+geTOlTJ/pCDh/W+PE6dUqlkgYO1K5dGjJEYjUOLg8jfOpESY8Zo/r6+Ord8eNatozU0Q0Y4dMo+k7a2jRtmpqb48t1X32lu+5igT0uC7+dNIpeR3PNNXrhhbj2QkH19crn483tgUtD8CkVvQbq/vs1e3a8711Li15/Pf7vwKVhSp9exaIyGR08qMmTdeKEgkCDBunrr3X99WnaEgdlhRE+vaLB/IYbtGBB/NjcsWNavVr5vMT+sbgkjPCpFp2xnzunO+7Q3r3q1UvZrLZs0T33cPUOl4KfTKpFj8307q01ayQpDNXRoWXLdPKkxCCPi0fwaRe9nWLyZNXWqlBQLqddu7RpE8M7LgVT+jIQncAfPaoJE/T77wpDXX219uzR8OFsMImLwzBRBqJXP40YoaVLVSgoCNTerqVLGeRx0Rjhy0N0ie7MGdXUqKkpXo3z0Ud64AGenMVFYIwoD9FGd337qr5effuqWFShoBUr1N7OUhxcBIIvG9msCgXV1GjWLEnK5dTSojffjCf8wD/BlL6chGF89W7SpPh97UOHautW3XQTt+Xxj/AbKSfRljijRqm+XmGoqir9+KNee035fGreLY90I/gyk8koDPXUU7r9duXzmjpVtbXx2M79OfxfTOnL1Z49ampSba369Uv6UFA+CL4sXfgKKs7e8c8RfHnj5XO4KAwN5Y3acVEIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI/8C5ApBABdqFVQAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "action": "('move', [2.944996892108952, 2.628398299569524, 17.434073001743684])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b435166dd5525cab2a4cfef69016e653f1b72645d4b52c0a7df685e1869f8f88"} +{"episode": 38685, "episode_seed": 91720160, "split": "train", "timestamp": "2025-09-15T23:25:40.943752", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 91720160, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "action": "('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "action": "('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "action": "('move', [-47.26693534474916, 116.09972034858095, -29.104723013773498])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIxUlEQVR4nO3dSY9U5QLG8aeawRjicMURxSFiHAgRYkQUY6Pu3KgbN0YXxk/gB3Dpt3DpRldujUbQQIJRA2hEI6AizpoYnOmm6i6qLo0tGqK5VsPz+y06ac6p5vTif94z9XkHo9EoQIeZaW8A8O8RPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBSZdvCj0ZQ3AJosgeCPHcvx48qHf8FgNMXSRqMMBgvfHj+eZcumtjFQYPk0//P5+Tz0UG66KbOzufvuXHTR4hXGO6OTdwrAPzDVEf7YsZxzTpKce24uvzyPPJJnnsnMqc4yhsMkGQzED//EVM/hV6zI44/nmmsyM5OPPsqyZZmZmbT93HN59tkcOZIffkiSmZnMzGQwmCwF/pYlcA4/GmX37rz4Yh57LDffnMEgR45k27YcPJhzzsmWLdm2LXfckeuuy9q1WbVq4ePz8xkMJjsC4DRMNfgkw+HvjuHH1+0OHszTT2fnznzyycKia67J5s158ME8+ujvPjUa5fjxSfbKh7807eDHhsMMh1m2bKHYX3/N/v15//3s2ZPdu7NrV+bmkuSJJ/Lss5mby4oVefHFnH9+ZmdPfdoP/MHSCH6RRbfrvv46X36ZvXvz+ut58sls3pzhMHNzuemmfP99rr02Gzbk/vtz331Zu3Z6Gw1ngCUZfJLRKMNhRqPfDfvjQ/fRKDMz2bcvDz6YTz5ZeGJn1ao8/3weeGDx/gL4n6Ua/AnjzRs3vCjj77/Pjh15+eW88UYOH8533+XQoVx1leDhzyz54E/T3r358MM8/LBn9eAvnMnBj0aTI//BQOdwOs7k4E84ccK/fKpPCsOSd1YED5wed7ChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChSNHfk578Z4HeiEOnszn48QsykslbbRdF7kVYFDrbgl/0FpwTSc/N5eefc/BgduzIK6/k44/z0ktZs0b2dDlLgh+/2H44zIoVk2mpkvz6a776Kl98kbffzmuv5bXX8sUXCx85fDhr1kxre2E6zuDgTwzmSZYvX5iN4sCBfPhh3n8/b72V3btz4MDk3weDrFyZ+fnJR154IVu2GN7pcuYFf+K91ePZpcadf/ZZ3norb7+d997L/v3Zvz/Hj0/WX7EiSebmMhrl2LEk2bQpmzbl3nunsvkwTUv9nXbjYfyU08YdPZqdO/P663nzzXz6aT7/PEePLixdtmyh+STr1uWee7J1a9avz5o1ufJK81PRaCkGf8pZZ5LMz+enn7JnT159Ndu354MPcvRofv75FD9hfPR+ySWZnc3sbO66K1dckfPOm4z2Y+N5K6HKUgn+ROSj0e+y/PHHfPttPv00u3Zl+/bs3DmZMP6PBoOsXp2LL8769ZPON2w4xa248QV8M83SacrBjwscz/58Yrz97bccOpRDh/LOO5OZY7/+erJovNp4Itmxyy7Lddfl+utz2225887cfvspxu3xr6hwWCojfJIPPsiePdm3L++9l3ffXbi6nmTlygyHmZ+ffLtqVTZuzK23ZsOGrF+fDRty4YWTRWaLh78w5eCPHMmuXdm5M+++m8OHc/jw5EJ6Mon25Atvt92Wu+/O5s1Zty5XX53LL19YNB7zx3fgdQ5/ZprBz81l3bp8801++eXUKyxfnhtuyLZt2bYtmzZl9er85z8LPQ+HC4O5S+5wOqYZ/LFjWbVq4UA9ycqVueCCXHppbr89996b2dlcddXic/LxmO/CG/wNU37wZlz72rW5+urceGO2bMnWrbnllsWrnbxTci8N/rZpBj8zk6eeys03Z+PGbNy4MPXr+NHX8eh98lfgH1oqV+lHo8zPT87GnZDD/8mUg5+fnzwV7+o6/AuWyggP/AscPUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUOR/wIbP/hiK7InGQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2488925553fbe0cbb32bd0ed3fabfb95f830f8035e13b7b3a12b10db60b609e6"} +{"episode": 38686, "episode_seed": 1976390460, "split": "train", "timestamp": "2025-09-15T23:25:41.947286", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1976390460, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "action": "('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "action": "('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALmElEQVR4nO3dXYhU9R/H8c85Mz7U2qYZmRc9uMYGoWb5EJpEaetDtbAUeGVRZKGgZoRRF6aIF0FBIt5EiUWaYGBs/LUsyiwqKRXMojaTMtsSV9Q22d3cOef8L85g8a+/uevuzJz5vF9Xy1792J33fH/naSZIkkQAPITlXgCA0iF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgq9qSSJJv/yiU6fKvBJUBoKvalGkJNHixaqv18svS1Icl3tNKCeCr16FgnI57dmjjz9WW5t++qncC0L5EXz1CgIFgTZvVlubrrxSjz8uSSH/cWv8+6tUFCmX08GD+s9/JOn++zVsWLnXhPIj+CoVBJK0dasOHtSgQXr0USVJ8RwejOXLvQD0j3TrXl+v0aM1c6bq6opvAfAWJLzrV6X0bHwY6swZnTmjIUPKvSBUBIKvaoWC8mzi8CeO4avUoUNqbVU+z6E7/orgq06a97JlmjpVzz2nIOBmG5zFfq+6xLGCQPv26e231dWlQqH4y1yu3CtDRWDCV5ckURBo3Tp1den66/Xgg0oSDuNxFsFXkXSSHzqk7dslqbFRI0cqirggh7MIvopEkSStX69jx1RbqyVLGO/4HwRfLeJY+byOHNH27UoSzZ2rq64q95pQcQi+WqSn67Zs0f79CkMtXszVOPwd+72qkG7d41inT2vYMDU06IYbOHTH33GnXbVIz89Lev99jRihMWPKvSBUIoKvInGsJOGSO86BLX21SB+AT38IAj7oAv+Il0W1WLhQc+bo88+Z8DgHJnzGpc/GHD6sjRvV2alJkzR5sqKICY9/xMsi4+JYYai1a9XZqWuv1QMPcBiPcyD4LEvPzP/6q7ZulaSZM3XddYx3nAOvjCwrFBSG2rBBra2qqdGiRcWBD/wfvDgyK72X9sQJNTcrijR7tsaOlfggapwLL47MSu+lfeMN7dunXE6PPSaJu+twbgSfTWcfgztwQIWCpkzRrbdKBI9/wWW5LEsSLV2q2lo1NLCTx/ng1tosO3v/PHB+GAvZlL5Np7UXCnxMJc4TW/psCgKtXavaWjU16dJLy70aZAbBZ1CSqK1NK1bo1Cn9+KNWruQLJ3Ce2NJnTXo17sUXdeqURo5UU5PEyXmcL4LPlPTQvb1dmzZJ0vTpGj/+zwdjgX9D8JmS3ku7ebO+/141NXr4YT64Dj1C8NmRPgYXRdq4UVGkW27RHXfwbBx6hOCzI30MrrlZ+/dL0tKlZV4PMojgsyMM1d2tV17R779r/HjddVfxl8B541pORiSJwlCFgh55RHGsefPYyaMXuLU2g9rbNXiwBg4s9zqQPQSfNdxjgwtA8Bn01xvpgZ5gVmQQqaO3OMcLGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDzKI45VKJR7EX6CJEnKvQb4iiKFoYKg3OuwwYRHqaUjZt8+rV+vXE5BIIZOyRA8Siptu7NTzzyjBQvU1KQ9e5jwpZMv9wJgJwi0fbu2bVMYqrlZQ4bo1VeVy5V7WR44hkdJxbE6OzVhglpaNHCgBg/Whx/qppuUJMz5UmBLj9KJY4Wh1qxRS4vyeZ05o4ULNW4cx/Clw4RHicSxgkA//KBp03T0qIJAdXXasUN1dYoitvQlwoRHiUSRgkDPPqujRxWGimMtWKC6OhUK1F46THiUQqGgfF67dunee3XypJJEEybogw90ySVKEoXMnVLhL41+l27mu7q0Zo1OnFAup1xOTz6p2trijTcoGf7YKIVc7s9LcYWCZszQ3LlKEuW5LlxabOnRv9Iz87/9phkztHevwlC5nHbv1k03SeJSXKkx4dG/0qQ3bdLevRowQHGs+fN1880KAmovAyY8+leS6PhxjRmj48eVJLr8cn3xha6+WmK8lwMTHv0ovX9u9WodO6ZcTkmip57SNddI1F4mTHj0l/QM/JdfaupUdXUpjjVhgrZt0xVXKI659l4eTHj0i7NzZOVKdXQoCDR4sJYs0YgR1F5OBI9+kd4/19ysd95RPq8o0m236b77VChw4b2c+Nuj78Wx8nmdPKk1a4qb+dpaLVummhpOzpcZwaPvxbEkbdmiXbuUzyuO1dioO+/ktvny46Qd+lj6gmptVUODWloUBKqt1d69qqvjoffyY8Kj7wWBXnpJ336rXE5xrCeeUF1d8fcoLyY8+lI6w7/7TpMmqaNDUaT6en3yiS67TCL4CsCER19Kx8fy5WpvL34c7fLlGj6czXylIHj0mfQ5mR079OabCkN1d2vWLDU2UnsFIXj0jSRRHKujQ6tWqbtbYaiLL9bSpcWH3gm+QhA8+kYUKZ/Xa69pz57iQ+9NTWpo4PPqKgsn7dAH0gvvra26+24dOKAw1NCh2rlT48YRfGVhwuNCpSMjDLVhg776qninzUMPUXslYsLjQqXn6r75RrffrrY2BYFGjtSBAxo6VOJSXIVhwuNChaGSRC+8oGPHiuN9xQoNGyZRe+VhwuOCpC+f3bs1bZqCQFGkyZP10UcaNIircZWICY8Lkj799vTTxfN2YahVq6i9chE8ei+N/PXXtWuXBgxQFGnuXE2fznfFVS629Oil9IVz+rQmT1ZLiyQNH6633tKUKZycr1xMePRSoaAg0Jo1xafiJM2bpylT+EybisaER2+k3xXX0qJZs3TkiOJYo0bpvfc0apQkgq9c/GfQY+kJue5urVunw4clKQy1YIFGjy5ek0fFYsKjx9JD9E8/1Zw56uhQoaCxY/XZZxo8mEP3Sse7MXom/XbnP/7Q88+rvb146m71atXUMNszgH8ReiwI9O67am4uXoprbNQ993DhPRvY0qPHCgWNH6+vv9ZFFymX086dmjiR4LOBCY8eSxItWqSJE9XZqfnzdeONxTtwUPmY8Oiln3/W1q2aPVv19ZyczwyCR290d2vAAEns5DOG4NFLZ5+WQYYQPGCE92fACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wWd2gBGDIRW+gAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALVklEQVR4nO3dW4hVZQPG8WetPR7SGA/V6DQY6eSEh2ii7HxToIxSoCAVpaKGQtCoBUU3UbfhRSVeVBpKaZKCYJSh1IVEiCKDlqfwOJpaTuowFsq493q/i7W/scM0M/bRt13r+f+uhtk3C9b+r3cd3vXuKIQgAB7iSm8AgP8fggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCH4XAtBkk6fVnt7hbcE1weCz7VSSSGouVkNDVq5UpKSpNLbhEoi+PwqFlUoaNcuffON2tp04kSlNwiVR/D5FUWKIq1bp7Y2jRypl16SpJg9bo3dn1OlkgoFHTqkzz+XpNmzNWxYpbcJlUfwORVFkrRxow4d0oABWrhQIZTv4cFYVaU3AP+O9NS9oUH19ZoyRWPGlA8B8BYFjvq5lN6Nj2N1dqqzUzfeWOkNwnWB4HOtWFQVJ3G4imv4nDpyRKdOqaqKS3f8HsHnTpr3K6/o4Ye1dKmiiMk26ML5Xr4kiaJILS368ktdvqxisfzPQqHSW4brAiN8voSgKNLy5bp8WXfeqblzFQKX8ehC8DmSjuRHjmjzZkl68knV1qpU4oEcuhB8jpRKkvThhzp7VtXVWrSI4R1/QvB5kSSqqtLJk9q8WSHoqac0alSltwnXHYLPi/R23fr12rNHcazmZp7G4a8438uF9NQ9SfTrrxo2TJMna/x4Lt3xV8y0y4v0/rykr7/WiBGaOLHSG4TrEcHnSJIoBB65owec0udF+gJ8+kcUsdAFusXXIi9eeEFTp2rnTkZ49IARPuPSd2NaW7VmjS5d0qRJuv9+lUqM8OgWX4uMSxLFsZYt06VLuv12zZnDZTx6QPBZlt6ZP3NGGzdK0pQpuuMOhnf0gG9GlhWLimOtWqVTpzR4sF58sTzgA3+DL0dmpXNpz5/Xpk0qldTUpLvukliIGj3hy5FZ6VzaDRvU0qJCQYsXS2J2HXpG8NnU9Rrc99+rWNRDD+mRRySCRy94LJdlIWjJElVXa/JkzuTRF0ytzbKu+fNA3zAsZFN6mE5rLxZZphJ9xCl9NkWRli1TdbWmT9eQIZXeGmQGwWdQCGpr0xtvqL1dx4/rzTf5wQn0Eaf0WZM+jXv/fbW3q7ZW06dL3JxHXxF8pqSX7h0dWrtWkh5/XI2NV1+MBXpD8JmSzqVdt06HD2vwYD3/PAvX4ZoQfHakr8GVSlqzRqWSHnhAjz3Gu3G4JgSfHelrcJs2ac8eSVqypMLbgwwi+OyIY125otWrdfGiGhs1bVr5n0Cf8SwnI0JQHKtY1IIFShLNmsWZPP4BptZmUEeHBg5U//6V3g5kD8FnDXNs8D8g+Az6/UR64FpwyyeDoqhStYegK1d4VSfDGOHxT7B2Xkax09AnxaIkffqpZs3SwYPUnlWM8Ohd+sJOe7tmzNC2baqp0TPP6N13WYAjezhQo3dp2Fu3ats29e+vs2d14UL5/8gWRnj0Ir1c7+hQU5O2b1cca9Ag7d6t+npG+OxhhEcv0qS3bNH27aqqUpJo3jzV11/9CBnCCI/edXZq0iTt3StJ1dXasUNjx0oEn0GM8OhJOhysX6/vvlMcK0m0YAG1ZxgjPHqSJEoS3X23DhyQpBEj9NVXmjCBVXayihEefytdX+eDD/TDD4oihaBZszRhArNuMoz9hu6ld+AvXNCKFSqVFILq6jR//tWPkEUEj+4ViyoU9Mkn2r9fcawQNHOmxo3jZD7bCB7dSH+K+qef9PHH6uxUCKqp0eLF5Sl3yC6CRzfSsD/7TDt3qqpKIWj2bI0eXV53B9nFXXr8WXqJ/vPPmjZNLS2KIg0dqn37VFvL1XvmcbhG9774Qi0t6tdPIai5WbW1Es/es48RHn+QjuEXL+qee3TsmCTV1GjXLt16q0Tw2ccIj26sWaMjR1QoKEnU3Ezt+cEIjz8IQZcuafx4nTypEDR6tLZuVX09k21ygn2Iq0olRZGWL1dra/nZ+9y51J4r7EaUpUtTnjunlSslqVhUQ4Oee45VLnKF4FGWTqF77z0dO1ZeF/fppzVmTPkn7ZAPXMND+u8PVZ44oSee0N69iiLddpt27NAtt0j8gF2OsCdRFkVav17795en1s2bpxEjmFqXN4zwKN+Ta23V1Kk6eFBRpJEjtW+fhgyReBqXLxy9oShSkmjjRh04UF617uWXNXRo+SPkCSO8u66Z8/fdp9OnJamuTrt3a/hwZs7nECO8uzTp1av144/l4f211zRsGLXnEyO8tXTnnz+vceN07pxC0Pjx2rJFdXUEn0+M8NbS997fflttbeV1bBYuVF1decod8ofgfaW1nzmjVasURbpyRY2NmjGDsT3PCN5X+jTunXd05owk9eunZ5/VqFHlxWqRS1WV3gBURjqR9vBhbdhQvpJvaNDcuaxRmXMcyR2lhUeRVq/W8eMqFBTHmj9fN98sMZE217hL7yg9mT94UE1NOnFCUaQxY7R3r/r35+o95ziYO0qn1q1bp9bW8rI2r76qAQMqvVn49zHC20l3+PHjevBB/fKLQtDYsdqzRwMHVnrL8O9jhLeTvuu+YoXOnlWhoBD0+usaOJCFLiwwwntJn7GfPKmJE/XbbyqVdO+92rJFw4dLvCpjgBHeS3p4X7pUHR3lvBct0k038RtSLgjeSHpz/uhRrV2rOFaxqEcfVVMTU+uMELyREBSC3npL7e2KYw0YoDlzVFPD1Doj7GcXSaJCQRcu6NtvlSQqFtXYqJkzVSqpivmWNgjeRXrSPmiQPvpIixapulrz5/Peux3u0jsKQUePqrZWN9xA7V4I3g6vxzgjeEddL8/ADbdrHJG6LW7aAUYIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5D/MnPeBFF2OMAAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "action": "('move', [-93.5765159617661, 183.9001893567132, 2.681941364923574])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALVklEQVR4nO3dW4hVZQPG8WetPR7SGA/V6DQY6eSEh2ii7HxToIxSoCAVpaKGQtCoBUU3UbfhRSVeVBpKaZKCYJSh1IVEiCKDlqfwOJpaTuowFsq493q/i7W/scM0M/bRt13r+f+uhtk3C9b+r3cd3vXuKIQgAB7iSm8AgP8fggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCH4XAtBkk6fVnt7hbcE1weCz7VSSSGouVkNDVq5UpKSpNLbhEoi+PwqFlUoaNcuffON2tp04kSlNwiVR/D5FUWKIq1bp7Y2jRypl16SpJg9bo3dn1OlkgoFHTqkzz+XpNmzNWxYpbcJlUfwORVFkrRxow4d0oABWrhQIZTv4cFYVaU3AP+O9NS9oUH19ZoyRWPGlA8B8BYFjvq5lN6Nj2N1dqqzUzfeWOkNwnWB4HOtWFQVJ3G4imv4nDpyRKdOqaqKS3f8HsHnTpr3K6/o4Ye1dKmiiMk26ML5Xr4kiaJILS368ktdvqxisfzPQqHSW4brAiN8voSgKNLy5bp8WXfeqblzFQKX8ehC8DmSjuRHjmjzZkl68knV1qpU4oEcuhB8jpRKkvThhzp7VtXVWrSI4R1/QvB5kSSqqtLJk9q8WSHoqac0alSltwnXHYLPi/R23fr12rNHcazmZp7G4a8438uF9NQ9SfTrrxo2TJMna/x4Lt3xV8y0y4v0/rykr7/WiBGaOLHSG4TrEcHnSJIoBB65owec0udF+gJ8+kcUsdAFusXXIi9eeEFTp2rnTkZ49IARPuPSd2NaW7VmjS5d0qRJuv9+lUqM8OgWX4uMSxLFsZYt06VLuv12zZnDZTx6QPBZlt6ZP3NGGzdK0pQpuuMOhnf0gG9GlhWLimOtWqVTpzR4sF58sTzgA3+DL0dmpXNpz5/Xpk0qldTUpLvukliIGj3hy5FZ6VzaDRvU0qJCQYsXS2J2HXpG8NnU9Rrc99+rWNRDD+mRRySCRy94LJdlIWjJElVXa/JkzuTRF0ytzbKu+fNA3zAsZFN6mE5rLxZZphJ9xCl9NkWRli1TdbWmT9eQIZXeGmQGwWdQCGpr0xtvqL1dx4/rzTf5wQn0Eaf0WZM+jXv/fbW3q7ZW06dL3JxHXxF8pqSX7h0dWrtWkh5/XI2NV1+MBXpD8JmSzqVdt06HD2vwYD3/PAvX4ZoQfHakr8GVSlqzRqWSHnhAjz3Gu3G4JgSfHelrcJs2ac8eSVqypMLbgwwi+OyIY125otWrdfGiGhs1bVr5n0Cf8SwnI0JQHKtY1IIFShLNmsWZPP4BptZmUEeHBg5U//6V3g5kD8FnDXNs8D8g+Az6/UR64FpwyyeDoqhStYegK1d4VSfDGOHxT7B2Xkax09AnxaIkffqpZs3SwYPUnlWM8Ohd+sJOe7tmzNC2baqp0TPP6N13WYAjezhQo3dp2Fu3ats29e+vs2d14UL5/8gWRnj0Ir1c7+hQU5O2b1cca9Ag7d6t+npG+OxhhEcv0qS3bNH27aqqUpJo3jzV11/9CBnCCI/edXZq0iTt3StJ1dXasUNjx0oEn0GM8OhJOhysX6/vvlMcK0m0YAG1ZxgjPHqSJEoS3X23DhyQpBEj9NVXmjCBVXayihEefytdX+eDD/TDD4oihaBZszRhArNuMoz9hu6ld+AvXNCKFSqVFILq6jR//tWPkEUEj+4ViyoU9Mkn2r9fcawQNHOmxo3jZD7bCB7dSH+K+qef9PHH6uxUCKqp0eLF5Sl3yC6CRzfSsD/7TDt3qqpKIWj2bI0eXV53B9nFXXr8WXqJ/vPPmjZNLS2KIg0dqn37VFvL1XvmcbhG9774Qi0t6tdPIai5WbW1Es/es48RHn+QjuEXL+qee3TsmCTV1GjXLt16q0Tw2ccIj26sWaMjR1QoKEnU3Ezt+cEIjz8IQZcuafx4nTypEDR6tLZuVX09k21ygn2Iq0olRZGWL1dra/nZ+9y51J4r7EaUpUtTnjunlSslqVhUQ4Oee45VLnKF4FGWTqF77z0dO1ZeF/fppzVmTPkn7ZAPXMND+u8PVZ44oSee0N69iiLddpt27NAtt0j8gF2OsCdRFkVav17795en1s2bpxEjmFqXN4zwKN+Ta23V1Kk6eFBRpJEjtW+fhgyReBqXLxy9oShSkmjjRh04UF617uWXNXRo+SPkCSO8u66Z8/fdp9OnJamuTrt3a/hwZs7nECO8uzTp1av144/l4f211zRsGLXnEyO8tXTnnz+vceN07pxC0Pjx2rJFdXUEn0+M8NbS997fflttbeV1bBYuVF1decod8ofgfaW1nzmjVasURbpyRY2NmjGDsT3PCN5X+jTunXd05owk9eunZ5/VqFHlxWqRS1WV3gBURjqR9vBhbdhQvpJvaNDcuaxRmXMcyR2lhUeRVq/W8eMqFBTHmj9fN98sMZE217hL7yg9mT94UE1NOnFCUaQxY7R3r/r35+o95ziYO0qn1q1bp9bW8rI2r76qAQMqvVn49zHC20l3+PHjevBB/fKLQtDYsdqzRwMHVnrL8O9jhLeTvuu+YoXOnlWhoBD0+usaOJCFLiwwwntJn7GfPKmJE/XbbyqVdO+92rJFw4dLvCpjgBHeS3p4X7pUHR3lvBct0k038RtSLgjeSHpz/uhRrV2rOFaxqEcfVVMTU+uMELyREBSC3npL7e2KYw0YoDlzVFPD1Doj7GcXSaJCQRcu6NtvlSQqFtXYqJkzVSqpivmWNgjeRXrSPmiQPvpIixapulrz5/Peux3u0jsKQUePqrZWN9xA7V4I3g6vxzgjeEddL8/ADbdrHJG6LW7aAUYIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5D/MnPeBFF2OMAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIiUlEQVR4nO3dz+tldR3H8ffn3K/FzITmr4UI2iDibFTMFMswUhPNlHSRNv6IbJMgSYl/gqshtEJqIdQmp0ZtYYWQY+JUShmKo6Nj6OBGLVEUlTFn5p5PizMkmD/GpMZ7X4/H8vvdHLj3ed/nnPv+nm/rvReQYdjfBwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggh++fVeve/vg+CjQfDLr7Wqqj17ZI/gA+zcWb3Xysre8kkm+GU2n1dV3XJLnXZa3XRTvfJKVZnz0Vr3+i+p6YV98806/fR66KFqrc4+uzZurEMPrXGswUd9JC/70prPq7W6bVPf9lifzaqqjjmmH3JI7d6t9lwr+/sA+J8Yxxpa7dxZmza1N3f1anX4Yf3aa1trNcVPJh/1y2kca5jVn/7Y79vSZ7NWvb74hb5uXc3nxns0L/4S6r1ms9q1q+64o157rXqvYajrrh/G0Y36dG7aLaHpntzjj42nnFJv7h7m8zr7rPHuzT7cMeGX0XTS/vONw85/Dq1VVf/edUP5Qg4Tfvn0Xq3VCy/U8cfXiy9W73XySeN9W9rqNW36FclM+OV06631wgs1DNV7XfOdYfWa5gKeEvxS2rWrbr65t1bzeR13XJ155v4+ID4yBL9UpmWbX2zsTz/dhqF671dc3o880rdx7OVdsGzm8/rJj3vvfRzrU0e3Cy+UOm/xXlgee/bUbFZ33tkf3daqtd77OV/qx5/Q9uzRPHt5IyyJ6Q787t31y4399dertfrkJ9s3r6qqas3tOvYS/JKYz2s2qwf/PP5ucxuG1sf++c+Np322TT+HiT+eWQbTLm1V3fGr9vLL1VodcED79tU2bXg7izfLYNqlfXJ7P/PM+vs/Wu/16RPnDz48cyLP2zilXwat1TjWb37bnnu+zWbVe7/u+lmzS8t/MOEX3nS77qWX6tRT65lnqletPXrcurWt+YRdWt7OhF94U9J33VU7dtRsVn2s71432JznHQl+SWzYMA5Dzed11FF13rnVmvN53oHgF9s4VlX9+s567LFhupJfv77WrvWYSt6ZN8Vi673GsX74g/k49nGsww7pF1/Uh2HvBwG8jeAX2LQz+4ct/S9/nbXWeu9fPr9O/kwbx1qxYME7EfwCm3Zmf/bT/uqrvaoOPLAu+ZrxznsR/KKadmYf3drvvmeYxvvJJ41nnTPM9xjvvCvBL7ZNm+rZZ/u0S3vVt4aPf2x/HxAfbRZvFtJ0E37HjvrK+X37k621OvaY+ePbZ/4wjvdmwi+q3uuezeMT22u2UuNY11w7+B6O92XCL55phe7VV+uMM2rr1mqtDj9sfGL7cPDBZbuO92YoLJ4p6XvvrUceqZWVGse6+up28MFv/QrejeAX1Y031vRc2oMOqku/3qp8G8f78wXOgpmuwO6/v7ZsqWl5/rLL6thjncyzT0z4BTOFfeP3x6n8NWv6pZf0qXzB874Ev0im/x6zbVvdfc/QhprP+3nn7t2l9eA69oXgF8k0xm/+0fjaa72qVq+uiy/uq1eXfyPFPnINvzCmP4l56qm6e3PrvVWvE0+or140eC4t+86EXxjTeL990/j0jj7Mamh9/fq+apXbdXwAJvximM9rZaWef67fdnvrvdVYa9fWld8Y/v2AatgXJvzCaK3u/X099HCfzar3unx9P/DA6q7e+SCs1i6A6aT95ZfrggvqgQeqtVqzar79b7MjjtjfR8aicUq/MObzWrVq7zrdFVcOaue/YMIvjHGsN96orVtrw4a64YZat67K8jwfkOAhiJt2i6R3T5vnQ3ENv0icwPMhmfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5F/y0u7lIpcoHQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIiUlEQVR4nO3dz+tldR3H8ffn3K/FzITmr4UI2iDibFTMFMswUhPNlHSRNv6IbJMgSYl/gqshtEJqIdQmp0ZtYYWQY+JUShmKo6Nj6OBGLVEUlTFn5p5PizMkmD/GpMZ7X4/H8vvdHLj3ed/nnPv+nm/rvReQYdjfBwD8/wgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggeggh++fVeve/vg+CjQfDLr7Wqqj17ZI/gA+zcWb3Xysre8kkm+GU2n1dV3XJLnXZa3XRTvfJKVZnz0Vr3+i+p6YV98806/fR66KFqrc4+uzZurEMPrXGswUd9JC/70prPq7W6bVPf9lifzaqqjjmmH3JI7d6t9lwr+/sA+J8Yxxpa7dxZmza1N3f1anX4Yf3aa1trNcVPJh/1y2kca5jVn/7Y79vSZ7NWvb74hb5uXc3nxns0L/4S6r1ms9q1q+64o157rXqvYajrrh/G0Y36dG7aLaHpntzjj42nnFJv7h7m8zr7rPHuzT7cMeGX0XTS/vONw85/Dq1VVf/edUP5Qg4Tfvn0Xq3VCy/U8cfXiy9W73XySeN9W9rqNW36FclM+OV06631wgs1DNV7XfOdYfWa5gKeEvxS2rWrbr65t1bzeR13XJ155v4+ID4yBL9UpmWbX2zsTz/dhqF671dc3o880rdx7OVdsGzm8/rJj3vvfRzrU0e3Cy+UOm/xXlgee/bUbFZ33tkf3daqtd77OV/qx5/Q9uzRPHt5IyyJ6Q787t31y4399dertfrkJ9s3r6qqas3tOvYS/JKYz2s2qwf/PP5ucxuG1sf++c+Np322TT+HiT+eWQbTLm1V3fGr9vLL1VodcED79tU2bXg7izfLYNqlfXJ7P/PM+vs/Wu/16RPnDz48cyLP2zilXwat1TjWb37bnnu+zWbVe7/u+lmzS8t/MOEX3nS77qWX6tRT65lnqletPXrcurWt+YRdWt7OhF94U9J33VU7dtRsVn2s71432JznHQl+SWzYMA5Dzed11FF13rnVmvN53oHgF9s4VlX9+s567LFhupJfv77WrvWYSt6ZN8Vi673GsX74g/k49nGsww7pF1/Uh2HvBwG8jeAX2LQz+4ct/S9/nbXWeu9fPr9O/kwbx1qxYME7EfwCm3Zmf/bT/uqrvaoOPLAu+ZrxznsR/KKadmYf3drvvmeYxvvJJ41nnTPM9xjvvCvBL7ZNm+rZZ/u0S3vVt4aPf2x/HxAfbRZvFtJ0E37HjvrK+X37k621OvaY+ePbZ/4wjvdmwi+q3uuezeMT22u2UuNY11w7+B6O92XCL55phe7VV+uMM2rr1mqtDj9sfGL7cPDBZbuO92YoLJ4p6XvvrUceqZWVGse6+up28MFv/QrejeAX1Y031vRc2oMOqku/3qp8G8f78wXOgpmuwO6/v7ZsqWl5/rLL6thjncyzT0z4BTOFfeP3x6n8NWv6pZf0qXzB874Ev0im/x6zbVvdfc/QhprP+3nn7t2l9eA69oXgF8k0xm/+0fjaa72qVq+uiy/uq1eXfyPFPnINvzCmP4l56qm6e3PrvVWvE0+or140eC4t+86EXxjTeL990/j0jj7Mamh9/fq+apXbdXwAJvximM9rZaWef67fdnvrvdVYa9fWld8Y/v2AatgXJvzCaK3u/X099HCfzar3unx9P/DA6q7e+SCs1i6A6aT95ZfrggvqgQeqtVqzar79b7MjjtjfR8aicUq/MObzWrVq7zrdFVcOaue/YMIvjHGsN96orVtrw4a64YZat67K8jwfkOAhiJt2i6R3T5vnQ3ENv0icwPMhmfAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQ5F/y0u7lIpcoHQAAAABJRU5ErkJggg==", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a70c85fb7a72a9e4151f434d1dc7984d1d32ea2df7c1ad363889419bb257c052"} +{"episode": 38687, "episode_seed": 786589869, "split": "train", "timestamp": "2025-09-15T23:25:42.604023", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 786589869, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "action": "('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "action": "('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "action": "('move', [-4.0704550233825065, -13.121693928543856, 55.28694916298559])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "70acc81363991c1fde50244331168d3ff9a31892a105f8e2e9b62aa33b76901f"} +{"episode": 38688, "episode_seed": 3321816881, "split": "train", "timestamp": "2025-09-15T23:25:43.256921", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3321816881, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "action": "('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "action": "('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "action": "('move', [0.24567361716363104, -0.38977358102708276, -45.50722146661545])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "375e7b25692e5af0ce509f9bac98c4c7a450c38a55a717303025dfe32de385d5"} +{"episode": 38689, "episode_seed": 1711263480, "split": "train", "timestamp": "2025-09-15T23:25:44.305125", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1711263480, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "action": "('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "action": "('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "action": "('move', [-3.2417100835754216, 9.217885748955329, 30.22579474880799])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAG/klEQVR4nO3cQVIb1xqG4b9bmIgbSxiMXZkla8gOspMsKVvIFrKPLCHzFAbHcMFlC9SdQbfBKCSVW0Wuov6eZ9T06Gjw8p9unVLT930BGdptLwD4/xE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BNnb9gLgX6fvq+/H63ZaM7Hp7z4ZMHUmPGy6vKzLy7q6qi++qK+/ntSQFzw8sF7XDz/UTz/V27f17bf144/15ZfbXtPTETw80DT1yy/1889VVf856G9uqqrp+2qaLS/sSQgeHmjb+uabms2qmnp3dnt7M6lGJvR0Ak/k+LjW62qqTs+am9ttr+ZJCR7uDd9ZnZxUVbVt3XSzDx8msZX/RPBwbwj+9euqGh7amzdvtrqgpyZ42HS47Ku6IX7Bw8TN5/2s6dfrqqrT06qayCv6Ejz80fygPTqefR78ZAgeNs3n9fJkvBY8TNx8XkdH47VneJis4Vl9Pq+XL8c7p792W1zPkxM8bHow4X9db3UtT0zwsGl/v46Px+vTN1N5QV9VgofPNU11XVWNwTdN/fbfvdVqu4t6SoKHBzaC77pJvbcTPDwwHLBbLvqqbgj+7Oz+/q4TPDwwvKhfPu+q+vW6um78Kl7wMFmLZTPfb6ruJ/w0CB4eGCb882W7OByDn9JhO8HDIxaLOjxsqqrvx5d2tvQwQeOEf16LxXjHhIeJWyxquRyvTXiYrGHCLxafT/jpHKcXPGzqunr2rA4Pxz8vL9uaym9gCB4eaJoafvribsJ/XNVqVW07hV294GHTEPbhoqvqqmr1oc7OTHiYqCHto8Px0f3jqs7Pqybx3k7w8AdNVdXRSds0TVWtBA8TNuzej47bg4Omqj5+FDxM3fFxHRxUVa0+BT8BgodNw4R/8WIM/ua2f3u2LhMeJuxuwlc15+fjufpdJ3jY1LZVVS9e1Hw+3jn/bSKlTORjwNPquvstfVVdXFRN4rCd4GHTcNiuae6Dv76uvq/ZbOd39YKHR3w6bDf+KP31db1/P271d9rufwL4Bwy791fHXVVfVdfX467ehIcJGoI/+aodjt1dXQkepu7k9WzYxt9N+F0neHjEuKU/qb29KhMeEpx8Cv79VXfxdgq/e7O37QXAv9H4DH9Sz55VVd12/cW7qt2f8IKHR9wFP5uNNy6uqnY/eFt6+FOvXtX+/hB/++6irdr5r+J3fPnwz2ia6vtaLuvmZpzql5dVtfO/bGdLD4/r+2qa+v77ur6uo6P67ruqqqbZ7RP1Tb/T/6+A/4UJD3/l9nYc9W278w/wZcJDlN3/lwX8bYKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIL8DKtMbhlILYUkAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a42093087caae2821fb943afee1ec3fd5315fde17ec8456720a0a92a71c7adec"} +{"episode": 38690, "episode_seed": 3317282284, "split": "train", "timestamp": "2025-09-15T23:25:44.948436", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3317282284, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "action": "('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4klEQVR4nO3dz68dZR3H8c85t9UWLy1IMZbQxNAFC4iJBduqbaltSKpEgaLuXKgr/ww37k1cuCKmG02MJfFHlabYYBpBG8AWMDYuhGhBITSUVKC955xxMcfWmGhMes/M3H5fr9W9ZzOzeZ955pnnmTNqmiZADeO+TwDojuChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeClkDwc9mmc36Pgm4IYyapun7HP4vbfPjNfAFBcM19IBWVnLuXP7yl4zHaofrta7vE/ivZrOMx/nrX3PoUDZvzqFDOXw4O3f2fVqwlg03+Na5c3nllSQ5cyZ33ZWdO9M0GY16PitYo4Yb/Hic2SzHjmU8ztJSNm7M5z/f9znBGjfQ4NvL+KVL+clPMpulabJ3b7Zs6fu0YI0b9DzY2bN59dWsX5+myRe/mA0bjOfhugw6+B//OEmm0ywv55OfTOKBPFyXgQY/GmU2y89+liSzWfbsyfbtiefwcH2GGFC7FOh3v5s/fk+yb182bcpkYjwP12WIwU+nSXL0aK5cyWyWzZs9fofVMcTgx+NMJjl5cn6p//jHs2NHmsZ4Hq7X4BpqF9idPj1fb5Pkvvty661ZWRE8XK/BNTSZJMmJE3nrrSRZXs6BA4npOlgNw8qoabJuXa5cybPPzsfz27blwIE0TZaW+j45WPuGFXw7nn/ppZw5M/9k16586EOZTs3PwyoY1tLa9qr+7LM5f36+hP6RR0zXwaoZUElXx/O/+U2SzGa57bYcPJjRyOUdVseAgm+Xzf75zzlxYl74Aw9kedn6eVg1Awq+rfrFF/P3v8+n6L7ylayRF3DB2jCU4Nsb9ZWV/OIX84X0mzZl717XdlhNQwm+9fbbOXYsSZomhw7l1luTaB5WzbCCf+GF/O1v1zbArxvWMwRY84YSfHsZbzfATya55Zbcf39iAzysqqEEn2RlJT//eZLMZjlwINu2JcbzsKoGEXx7GT91Kq+/Pp+f378/N91kgR2sskHcJbfP3n70ozTNfL1NO54HVtcgrvCjUa5cydNPz8u/777ce68VtbD6+k9qOs14nFOncv78/JNdu3LzzVlZMZ6HVdZ/8O0N/C9/mYsXk+SWW/LAA4kN8LAAPVfVbph5772cPj3/ZPv2fOYzmc1sgIfV13Pw7Tz8c8/lD3+Yf7J7dzZsMD8PCzGIWfpnnskbb2Q0yoYNefjhxHgeFqPPsK6O59sN8E2Tj340+/Z5oRUsSp/Bt9N1587l17+eD+D3788HP2hLLCxKn8G3kZ85kwsX5vtkvvzla58Dq6634Nt1Ne+/nyefzGiUySS33549exLBw8L0PDn25pt58sn53w89lOXlXs8GbnQ9B3/6dC5cmG+Af/jhjEZu4GGBegu+bfuJJ5JkMsmWLfnEJ5IIHhaozyv8dHrtDXaHDmXr1sQNPCxSz4/lLl6cr7H57GfzgQ9YYAeL1fM9/Pr1mU6zdWt27Oj3RKCEnoNvf1Vm167cfbcN8LBw/RfWNNm9Oxs32gAPC9dn8ONx3n03t92WvXvn/wIL1eduuaWlbN2abdty//02wEMXRk2vD74vXMj77+eOO3o8BSik5+CBLvX/iiugM/0/lgM6Y2YcChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngYgKbp5jiChwEYjbo5juChbysrefvtbg4leOjPbJYkL7yQL30pzz+fJNPpQg8oeOhJ02Q8znSaY8fy1FN57rnkX18BCyN46NXFi/n+9zMeZ2mpg6MJHnoyGqVp8vTTefXVbNqUu+5KkvFikxQ89Gc0yuOPJ8mnP52dO+eD/EUSPPTnlVdy4kSWlnLwYG66KSsri34+J3joQzsbf+RILl/OnXfm8OEkWbdu0YcVPHSuHbpfvpwjR9I0+dSn8rGPZTJZ9Hg+ycK/UYD/1E7XrVuX730vP/xhHn00TdPNYrtR09UiXuCadki/tNRZ6i3BQ+euRt5t7XEPD11rI3/++Rw/3v3BBQ8dagfUly7lW9/KY4/lO9/p+PiChw7NZhmN8vLL+dWvculSbr456W4zfAQPnWpn6U6ezKVL2b49Dz3U8fEFD11pr+QXLuQHP0iSRx/NRz7S5eU9godONU1+//ucPZuNG/PggxmP54P8rlh4A11pwz5yJONxdu/Orl3XPuyKKzx0oh26v/Zajh7NbJaDB7N5czfLaf+d4KFDf/xjmibbtuVzn+t+1U2stINONU3eeCMvv5z9+zMed9+84KErk0nSxR7Y/0Hw0Lk+BvMt9/CwYO2LaM+fzze+kW9/O2++Od8e2weP5WDBptOMx3nqqTz+eEajPPJIbr+9r3MRPCxS02RpKZNJjh/P0lJ2787ddyddP36/ypAeFmk2y3ics2dz8mSm03zta928f/6/ETwsUnslP3Uqr72WLVvy4INJp9vj/oPgYWHal1W+806eeCKjUQ4fztatSW/j+QgeFu7FF/PMM2mafOELWb9+0b8e978JHhamvZIfPZrLl7NjR3bs6HEw3zJLDwu2Z09++9scPpw77pg/ouuPlXawME1z7efiJpN+F9W2BA8LdvUV9APQ/1cO3IDa6+jrr2c2y513zi/1/U3OX2XSDhZgOs1olO9+N/fem69//drPTvRN8LDa2vv2997LsWO5eDH/+Efyr6+AvgkeVlv74qqf/jR/+lNGo3zzm0n6nZy/ahAnATeUtu3jx/Puu7nnnuzde+3Dvg3iJODGMZ1maSkvvTT/6bivfnUg8/MtwcOqam/Ul5ezb18+/OE89lgyiOm6lufwsDDvvJPl5YEM5luCh0IG9N0DLJrgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhfwThHFw6xQPJIMAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "action": "('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "action": "('move', [5.321158137776209, -2.0090835922651014, -1.0930454314612632])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f38aa94a2edbba81c4b60eefc006a619b50d5c5b7b2869d86fb11deb34432158"} +{"episode": 38691, "episode_seed": 2966806057, "split": "train", "timestamp": "2025-09-15T23:25:45.601677", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2966806057, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "action": "('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKmklEQVR4nO3db2hV9QPH8c+599z9send2tLMRQlBkY3sSdCD6OmaFf1hFFZqyBwYGmKtHgWBEsESkv64BVFG0BhihlSE2QOpUIoeRYtWYWmbtuk2N1ve3Xt+D85xS3P5J396dz/vFzJQrte7O9/n+z3fc+45QRRFAuAhdblfAIBLh+ABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgJLzcLwCniiIVCgoCSad8BS6GIIqiy/0aML1CQfm84p9RGCp1ckaWz0tSELBRwHkh+KIRRQoCDQ5q/35VV6uqSrNnq7LynP7u5EYhlZraKERR8pwxNgpgSl9E8nmFoT77TM88o2xW5eWaNUuzZqmyUpWVqq1VS4saGhRFmpjQ3r0KQ9XVKZtVdbUymTM84eT4f1anbfTZNJQugi8acXV9ffr11zM/oLFRDQ0KAg0MaMUKDQ6qslKZjMrLVV6ubFZhqKVLtWpVsgrw9dfq69Pcuaqp0ZVXqqZG4TQ/bgq3QfBFI67xoYe0cKFGRzUwoCNHdPSojhzRwICOHdO11yaPHB5WLqexMQ0Nnf4kCxcmwUeRXnpJ27Ylk/wwVBgqm1VtrW6+Wa+/rpoaSerp0Z49qqtTTY1qazVnTjKbSKcv3TeOS4jgi0Y8zNbXq75+2sfE++TXX68dOzQwoKNHk19DQxoZUW+v7rpLklIpTUxo9mxdc41OnNDx4xof1/i4Rkd18KAOH1Yulzzhp5/qqadO+ScWLdInn6i+XoXC1HIASgXBF5/T9qgnf5tKJRuFigotXvxvz5BKKZPRhg1au1bHjmlkRCMjGh7W6KgOH9aCBaqqSrYd8+Zp8WLlchoe1vi4BgdVXj7tzB8zH6v0M1OhIJ3cFkx+jSKl0+c6G4+DHxvT4cP66y+Njen4cQ0PK5vV7bervPz/9tJxORF86Yr35HXqFkFSEJx5VR8GCN5bvBWY/D8QD/us2JUuggeMsAwLGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOBRpP5+YQ5cLFyuEMXo77fMwUXECI9iFAQaGtKJE9I/ruKL/4LgUVzi6/H+9JPuuEPPPad8XkGQ/CH+O6b0KC6plPr79dhj6ulRT48OHNAbb6i2VhMTXC//ImCERxGJZ+979mjfPklKp9XdraYm9fQoDKfukYsLRvAoIvFCXXOzOjtVV6d8XpmM9u1TY6N271Y6PXWtfVwYLlON4hIfjUultHu3WlvV26tMRrmcqqu1aZOeeGLqbhq4AASPohNFyucVhvrxRy1frq++UhhqYkJlZXr6aW3cKIlbXV4ggkeRyueVTmt4WCtXats2SQoCRZEeflidnZozh+YvBG8YilS8x57NqrtbbW3KZBRFCkN1dampSb/8ktwUmwHrvDDCo6hNnnLX2alnn9XQULJLf8MNeust3XmnJiaUTrNLf64Y4VHU4ml8Pq9Vq9TVpeuuUy6nTEa9vXrwQW3dqjDkrPvzwAiPGWByGe+777R8ub75Rum08nlVVKitTS+8kDyGcf6sCB4zRnyy3cCAWlr0wQdKpZKx/fHH1dmpiopknQ//gik9Zoz4ZLu6OnV1af36ZDxPp/Xuu2pq0m+/KZ1mGe8sCB4zSbx0X1am9na98oqqqpKz8T7/XHffrS+/TI7Y0/x0mNJj5okiFQpKp7Vzp1pb9fvvydL9vHnatElLl3KIflq8K5h5giCZvd9zj3bu1G23KZdTGOrQIa1cqY0bk9oZy/6JER4zWLyMd/CgnnxSO3ZMfbqmpUWvvqqyMob60/FmYAaL99gXLND772vNGhUKCgJlMnrzTd1/vw4cSM7GwySCx8wWhioUVFGhzZvV3q7ycuVyKivTxx9ryRLt3csy3imY0qMUTH6otrtba9eqvz9Zxrv6am3erOZmDtEnGOFRCoIgmb03N2v7dt16a3IGbn+/li3Tyy8ntTO6McKjpMSd79+v1av10UfKZJL5/Jo1am9XWZn7UE/wKDXx0v2ff2rdOnV0KAgUhsrldN992rJF8+dbXw+TKT1KTbyMV1mpLVu0YUOyjJfJ6MMPtWSJvv02WcbzxAiPkhV/fu6997R+vQ4dSpbx5s9XR4fuvTc5huf2ATtGeJSsINDEhB59VN3duuWW5HBdX58eeUSvvaZUyvEWF4zwKHHxfP7nn9Xaql27pi6YsW6dXnxRmYzXMh7Bo/TFq3RjY1q9Wlu3Tp2K/8AD6ujQVVcZXTyDKT1KX7yMd8UVeucdPf98cqwuDLV9uxob9f33LrWLER4+Jofxt99WW5v++GPqbLxdu7RokcUnbUr9+wNOmrwe5ooV6u7WjTcql5OkuXOTq2U5YISHnXg+39urZcv0ww/64gvddNPlfk2XCsHDUbwy39engQE1NFhM5mMED1OTkfvULoKHM8Mb0bp+hgAwSz1mM5UBQPCAFYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOR/SL7JM4BPb/IAAAAASUVORK5CYII=", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "action": "('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "action": "('move', [-11.771470787967163, 5.6999150150636355, 18.017814128213008])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKJklEQVR4nO3dW4hdZ8HG8WfP7GlMSDqdph6oERoVhYZKPVAEJeIBTMToRRGsF1otKgUPV17rhTe91yIUUSxoRYOmINVosa1asXqhjYLSgngoDUPOTcI0M5n9XeydyeFrtX6fmZnm+f0IA5lZe2eFmf86vGutdwaj0ShAh6m1XgFg9QgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeigzXegW42GiU5eUMBkku+gj/DYPRaLTW68DzW17O2bMZf4+Gw0ydOyI7ezZJBgMbBf4jgl83RqMMBjl8OH/7W665Jps3Z8uWbNz4gl67slGYmjq/URiNJu85ZqOAQ/p15OzZDId58MF84QuZnc2GDdm0KZs2ZePGbNyYrVvzyU/mppsyGmVpKb/5TYbDXHddZmdzzTWZmXmON1zZ//9bl2z0bRquXIJfN8bVPf10/v73515g167cdFMGgxw6lNtvz+HD2bgxMzPZsCEbNmR2NsNhPvKRfOpTk1GA3/0uTz+dl70sc3O59trMzWX4PN9uhdcQ/LoxrvHWW7N9e06ezKFDOXIkR4/myJEcOpRnnsmrXjVZ8vjxLC7m1KkcO3bpm2zfPgl+NMpdd2Xv3slB/nCY4TCzs9m6NTfemLvvztxckvz5z/nFL3LddZmby9atufrqydHE9PTq/cdZRYJfN8a72W3bsm3b8y4zPie/4Ybs25dDh3L06OTPsWM5cSJPPpl3vCNJpqaytJQtW3L99TlzJqdPZ2EhCws5eTJPPZX5+SwuTt5w//58/vMX/RM7duTHP862bVlePj8cwJVC8OvPJWfUK3+dmppsFF7yktx88796h6mpzMzky1/O5z6XZ57JiRM5cSLHj+fkyczP55WvzObNk23Hy1+em2/O4mKOH8/CQg4fzoYNz3vkz4ufUfoXp+Xl5Ny2YOXjaJTp6Rd6ND4O/tSpzM/n2Wdz6lROn87x45mdzS23ZMOGy7bqrCXBX7nGZ/K5eIuQZDB47lF9Cgi+23grsPIzMN7tG7G7cgkeihiGhSKC5yIXHuBz5XEBhous3HS3MsDHlcQenuRc3qdP5/7788QTk8G7weCip/W4Agie5Nzjtr//fT7+8ezYkU98Ig89lMOHMzWV6eksL2dpSfZXAsGTJINBlpayd2+OHcv0dL75zbzznfnAB/KVr+QPf8j09OTuu8VF2b+4OYdncofeyZM5eDDLy1lYyHCYwSCPPppHH822bdm9O7t3Z8+eyQ0744fxnN6/GLkOz8Tycp56Ko89lu99L9/97uSTw2GWlpJk06a86U3ZtSt33JFXvOL8qy6cYoP1T/BcamEhf/1rvvOdfOMb+ec/L/3q9dfnXe/KnXfmrW+9aMatlUd7WM8Ez3nju+9X7qw9dSo/+lHuvjsHDuTIkSQZDM5PpfXGN+azn827333+cd7FxUxPe6Z2XRM8l/rfV+B/+9t861t55JE8/vjkS1NTk4H9l740H/tY3v/+vPnN2bw5SRYXJ2P7rEOC518Zz5o9rvfgwfzwh9m/Pw88kIWFJLnqqpw5M1lyz57s2pXdu7N9e5KcPTvZLrCuCJ5/b3z7zXiI/syZ/PrX+elPc++9k9n3hsMsL0+e0N+xI29/e267bTL1zpib9tYPwfNCXZh9kn/8I7/6Vb761fzyl5PPTE1Nsp+by44duf32fOhDufrq8y8fL8MaEjz/mQsP8pMsLubAgXzta9m3L/PzFy05nkHrtttyxx159asnU+yPb9SdnrbDXxuC5//okgP1o0fz9a/n/vvz+OM5fjxJpqcnA3tJ9uzJRz+at7wlN9yQnDtYGN/ew2oSPP9fl5T/wAPZty8PPpgnn0ySmZnJ785IcuONufXWvOc92blzsvDSkr39qhI8/x2j0eT2m/FZ+p/+lIcfzg9+kJ/9LMnkQt14duytW7NzZ973vnz4w5MreSs/g8q/3ATPf9M4+5z7tRpHj+bAgdx3X+69NydPJhcc5w+Hed3r8t735tOfzutff9E7yP7yETyXxbjq8dje8nIOHsz3v5977skTT+TZZ5MLbtrbsiVve1s+85ns3JktW9ZujTsInstoPGHWhZfi9u/PPffksccm1/Cnps5PqvXa1+bOO/PBD+Y1r1mbtW0geFbDJQN7f/lL7rsvP/95Hn548pmZmckcG1/8Yr70JQf2l4vgWVXje/LGZ/gnTmT//vzkJ9m7N0ePJsncXB56KG94g19sd7kInjVw4U17o1H++Mc88kjuuiu33JJvfztXXWUPf7kInjVz4d4+yfx8hsNce+2artOVTvCssfGgnTmzVofgWS88VLcKTGLJeiH1VWAkFIoIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHor8DxXUhD9RgjEQAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "da94b85a254ba64a7220c904bea6eaab30ce1ffc76d45550d84a18393347c2ca"} +{"episode": 38692, "episode_seed": 1955570074, "split": "train", "timestamp": "2025-09-15T23:25:46.264493", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1955570074, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "action": "('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "action": "('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "action": "('move', [-12.54378949279585, -9.962174960145926, -7.266077590800175])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d2a808118f312a1d167f7dc671e31ea39c800da62c0fcd27da7a3d8dbe6c8681"} +{"episode": 38693, "episode_seed": 3879731341, "split": "train", "timestamp": "2025-09-15T23:25:47.277257", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3879731341, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "action": "('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "action": "('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "action": "('move', [-10.873908108796089, -13.674213542415991, -35.41745471671815])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKgklEQVR4nO3cX2iVZQDH8d95z8ltLbLczEoztdlmY0Uy68a7bguT8kKYYFgUSBBREBEZBF10JSlkFMRAI8gLM7oIIhDsQjfbKqo1t7aZbTnNxpq18pz37eJ9PWebmqZu58/v++HgxTmvZ+8G3z3P+7zPWSqKIgHwEBT7BADMHYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGMsU+gWIKQ4WhgkCplFKpYp8NMPtSURQV+xyKL5dTLpeUH/8LVCTr4H/+Wb29WrVKt99eeDKKlM0Whn3iRyWxntJ/8IHeeEONjVq6VA0NamlRc7PuvVfXXVc4ZsbvQ/pHWfMd4aNIjz6q/fsLz1RXq65OdXVatkytrclj4cIL/9/4x8YUAOXFN/hsVk1N6u+/6AFVVaqp0ZIleuCB5LF8uWpqVFU17bB45S8//6d/lDLf4MNQn3+ujg51dmpgQL/9plOnNDk57ZhUatqU/qabtGaNVq9Wa6tWrlRdnerrVV1dOIDFP5Q43+Bn+Pbb5NHXp6EhDQ1pdLTwajqtdFrZrMKw8GRzs1pa1NKilSt1551atky33FJ4NQyVyxXKJ36UAuvgw1BRpDBUOq1gyhakkRH99JP6+3X0qL77Tj/8oJ6ewqtBoEwmGczzbr1Vd92lFSvU0KDmZt1zj1atmvm18s0TP4rFOvi8eBEuvhqPB/O8M2c0OqoTJ9TfryNH9NVXOnJEExOFA4KgsIYXq63VwoVatEjLl6u1Vfffr9ZW3XjjRb8u4z/mDMHPFEcY9x8E0+KPIk1M6M8/NTiow4d1+LAOHdLx48pmdfbshd8tCHT99aqt1dKlycrfgw/qjjtUVTXtnYG5QfCXkO8/vho/3/CwOjvV0aGODg0MaGxMY2P655//es9Fi7RmTfJYsULz52vBAs2bN0vfAVBA8P9P/qd1wUn42bP6+mt98426u9XXp+PH9csvOn26cEC8WJDNFt4nnVZLi159VevXz/KpA+Y77a7A+Z3npwBRpEwm2a4TGxpSX596e3X0qHp61NOjgYHCUl86rUxGkrq7kyfjeQQwexjhr6X4yj+/8j/1Kn18XMPDGh5Wf7+6utTVpe7u5LZ/EOj779XYmKwaALOH4GdLfuUvimYu/uVyGh/X+LgGB/Xllzp1Si+/rPp6RnjMOoKfI5dc/APmAMEXwdQfOUM65hKLdkVA5CgWJpeAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGSin4KCr2GQAVrgSCjzvPZpVKFftUgApX7OCjSKmUxsa0YYOee67wJIBZkCny1w9DpdN65x3t2ydJ9fV65RWFoYKAAR+45oo9wqdSCkM98YTWrZOkbdv01ltKpyXGeeDaS0VF7yoez0dGtHGjDhxQdbV27NCWLcmrjPPAtVPsEV5SECgMddtt2rNHra2anFR7u/7+W6kUgzxwbZVA8JKCQLmcFi/W+++rrU3vvqt585KRPwyLfXJA5SiBKX1eXPhU8Rp+Lpdc1QO4OqUxwsfytcej+smTev55dXUpnVYuV8TzAipGKY3wsShK7tVt2KC9e3X33fr4YzU1Mc4DV6+URvhYKpUM9evWqbZWvb3atEmDg4zzwNUrveClZH2+rU07dyoI1NmpLVs0OkrzwFUqyeB1rvnNm7V9uzIZffGFnn5aZ84oneZeHXDFSjX4WBTp2Wf12mtKp7Vvn7Zu1a+/cn8euGIlHHy8xy4M9dJLyedq2tvV0yOx6xa4QsX+8Mx/yw/mr7+uiQk1Nmrt2sLz7LoF/qfSuy13vnhDzuSkqquLfSpAeSuH4HVuy118i17S7t3JZ+zO35wH4OJKe0qfl689ndann2rzZkmqrtbGjcpmlSmT7wIotvIZHlOpJPslS9TcLElPPqn9+5XJcHMeuExlMqXPi+fwP/6ohx9WX59uvlkffaSHHmLjLXA5ymeEj8UfpG1s1N69WrxYv/+uTZt08CCb8IDLUW7BS0nb992nDz/UggUaGdFTT6mjI/lrWQAurgyDl5INtmvXas8ezZ+vnh7t3MkfyQEuqdyu4aeK79Xt3q32dr39thoalMspipROsycHuKAyDz5+xJ+oZe8dcCnlOaWPxZ3H43kYKpXSiRPJJlyJ63ngfOW/ZSWeoQSB/vhDjz+ugwd17Jh27Uqu8xnzgSnKeYSPxRtyJN1wg5qaJOm99/TCC8lsH8AU5R98LG571y61tUnS9u3atk1BoGy2uOcFlJRyXrSbIR7SJybU1qZPPpGkN9/Uiy/yARsgr4KCl5TLKQh0+rQee0wHDiiT0Y4deuYZmgdilRW8lGyqP3lSjzyiQ4dUV6fPPtPq1YoimgcqLnida/7YMa1fr7Y2bd2qTIbaAVVm8Dq3Ce+vv1RTU+xTAUpIhQafx614YIqKnuhSOzBdRQdP7cB0FR08gOkIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkXEDe6myJqpKAAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e8bbd6b433dabc4d05f6730b41269fb0aecac24199fd79519872b603c5f9992a"} +{"episode": 38694, "episode_seed": 3546009441, "split": "train", "timestamp": "2025-09-15T23:25:47.936162", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3546009441, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "action": "('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "action": "('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ7UlEQVR4nO3dz6/dZYHH8c8595a2UtGhLe1FyIW2MogFJVLSmc3IxLizLt0ZFyYal5oYXbmd0f/AyNb9hMxmFiYT0wglQmmtdEoRBuKAtSg/CtLe3vOdxfeUznSgkExse8/n9VqdnJ6TfG/S932+z3Oe89zJMAwBOkyv9wUA147goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgocjy9b4A+P9aX8/6+vzxpk2ZTD7a22azXLyYJDfd9Fe6sBvQZBiG630NwDXilp4N79FHc+hQDh3K17+eV15Jkg8ZxcaB/Re/yKFD+epXc+7cNbjIG4Rbeja8v/wljz02f/yd72RlJcNw1Rv78ffBL3+Zxx7Ljh2ZFg17RT8qi2cs90tfyvJytm7N0lJOnEjyYbUvL2cY8vvfZ3k5X/5ytmy5Nld7IxA8G97Ondm1K+++m/X1HDmS2ezD1u0mk/zpT3n55QxD7r3XCA8byc0358CB+Wh/5Ejeffeqr57NkuSll3L4cNbXs3//NbjCG4fg2cAmkwxDtmzJF76QJMvL+e1v88YbyVXW7cbRf2Ul3/tevvKV3H//VV+9aCzasbHNZllayoMPJsl0mgsXcuxYVlY++A3jDfzu3fnRj3LuXD72seTqk/6FYoRnYxtTvfPOfPKTuXAhSR5//CO/edu2qgl8BM9i2LUrn/3s/PHhwx/26tksb731V76iG5Tg2dim0wxDduy4vPp2/Ph8qH8f41z9z3/Ot7+db30rv/lNcmkZr4Pg2fAuXszSUj7zmSSZTPLmmzlxIpPJB4d89mx+/vP89Kd57rlE8LChjNP4ffuyZUuGIefP58iR5CpL76dPZzrN3r3Zt+/y+zsIng3vveDvuivJfPtN3jf48aXPPJPZLHfckd27Lz/ZQfBseOM0/q67sro6f+b48Q/ebzcMOX48SVZXs3Pnh227XzSCZ8ObTLK2ls2bs3fv/Jk//jEvvZSlpfebng9Djh5NMr8fuHhR8LDBjM3u35/l5SQ5ezbPPJNcsR433uK/9lqefz7TafbsufzOGoJnEYzbZx54ILfemiRvv51jx5L3XYA/ejRra/nEJ+b3A2XB21rLIngv+O3bc+ZMhiEnT15+/n/ZtCkPPpibb+4c4QXPIhin8R//eO68M88+myQvvJCzZ7NjR2azS9mPbX/xi3nqqcsr+LbWwkY05vzww/MHv/tdTp9OrvhwbjbL2tp8oa5sbB8JngUxDtUPPZSbbspkkjNn8vzzyRXT+Ok0mzbNV/YqCZ4F8d4Iv3lzkgxDTp1KLn1KP+/+6NF885v58Y9z9uz8RWUEz4IYD8NYWcmnPjUP+cSJvPNOlpaSXAr+V7/Ko4/mJz/J2tp1vNTrSPAsmoMH5w+OH88f/pCMA/n4O+DkyUyn2bUrKysf4ey7BSR4Fs3Bg5lMsrSU06fz6qvJGPvY9qlTmc3ajrX6nwTPojl4MMMw31c7TuMn49HUr7+eM2eS5IEHkrpP4EeCZ9GsrmbHjvlfl/n1r7O+nul0liTPPTe/xRc8LIAx4S1b8vDD80W6J5/MO+8k09mQ5IUXcuZMlpYED4tj8+YcODCfxj/99Hh63ZAkx45lbS27d1/1UNsFJ3gWyrgS99BD82n8+fP5j5NJlpLklltyzz155JFLn9Q16t1yxEIaz7O4++5s3Zrz55Pk8SfyyD8uTZJ8//v52tfavgB/BSM8C2Vsefv27N8/n8ZfPqZ+GLK6evmUjEqCZwHt3JnPfW7++MknL22nH38ZNJ1R+38JnoUymcxPrR6PqV9aymtnZydfTJ46MvzTP+fo0c79Nu8RPIvp05/O8nLW13NxffLE4eRf/2X44Q/y3e/m3LmkdJtdBM/iGe/cV1fHQ2yH2TB54t/eHl48NZtM8vnPZ9u263x915XgWTTjF+P37Jn/mYkMefrf35ycOj0ZhvztvfM9t60L9T6WY9GMx11t3XppPX45r/zX8Opb53cns7v3TNN7Px8jPItqGHLffUmS9byRW556/c7ctm3Ytfs6X9b1JngW0Hhi3f792bkzGfLmdNvTuW/Ye/ts18r8n1sJngU0TuPvvz+33TZJLmaa45N7Jvv2Zcf2tr8tdQXBs4Cm01y8mFtvzR13JJlkkpeHXW+t/sPycob13hW7CJ5FNQwZhvGLsEs5nxdveeTZg9+YJLPu//PVPzwLbDrNZJIDB7K8nAw5e+Fv/nPttiSzoXd4TzIZij+iYIGNU/WXX87Pfpb77svf/91w++2ZLk2Kb+cTwUMVt/QsuNmseaPNlYzwUMQID0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0X+G18b9tBcPi51AAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "action": "('move', [1.444111972795378, 0.08666320133969302, -22.541066554520654])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "74862169e5c0af172844b64af3bb0ef50827ab9e3dc3b1949eb24c70904e4017"} +{"episode": 38695, "episode_seed": 275439800, "split": "train", "timestamp": "2025-09-15T23:25:48.579995", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 275439800, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "action": "('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "action": "('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "action": "('move', [6.255735175775907, -10.593703721175038, 32.90342579194256])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIx0lEQVR4nO3dXahlZR3H8f+z9j4DXjRCRCLImAam5o2mIWhNOpnMwBgalN6UWFghQvhSSBgRQWovWkR2Fd1EN0pBUhfNDPiCoqa9OnohNUlKKakp+XL22evpYh80I4ggG2f9Pp+rw7la63C+/J+91rPWbr33AjIMB/sAgP8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwTNZvR/sI3jjETwT1Hv1Xq1t/swrBM8EtVat1d131y23bMbPiuCZmnGsJ56o66+vc86pD3+4fvPbqqb5Ta37SzAh41jDULfdVrt31zDUONb294579w3DsLnCD2fCMymtVe919tn1oQ/1cezztbr9jvadb/fWark82Af3BmDCMzXLZc1m9Yv76rwP9j//pbVWRx7Z9+1rxx23Of+TZZ89UzSb1WJRp767Pv2psWqcz+vxx+uL1y6Xy1ou0z/Mm/BM0Oqf+vnn6wMf6Pfe24ahtqz173+/feTCzfkfS/BM0yrsvXv6rp19rGFjWSe9c9y7p731iJa8sE89b6ZuNqvea8f72yUfbxsbNZ/V737XvvH1Po5VwbtxTHimbBzr6afr1HeNf3xsWFurtXnfu6+dfvqr+/DSmPBMWWv1lrfUV7/WWutV9cKL7YorarHInfCCZ+J6r93ntQsvbItFzed1zz110001DKHNW9Izcaurd/v3144d9eSTVVWHH97vubvecXwLvGJvwjNxs1ktl3XiiXXVVZu/eeaZds01tVhsbsuLInimbxhqY1GXXlpnnD6OY1/bUj/9Wf3wB+MwxO23taQnwure++239927299fqHFZJ57Qb7utve3Y6km35WNOlGyrYb59e/vEJeO47Gtbav/DddONY63mXczUM+FJsbr3/txzdeop/dHft9aq9fHne4azzg66LW/Ck2J1iW7r1vr6ja33sbVa9uHKK/tLL1bF7L0TPEFaq3GsXbvqYx+t5bLW5vXLX9UNNwRdrrekJ8vq6t0jj9Sunf0PB9owq61vqn376uSTI56Wn/r5wWsNQ21s1PHH11VX12xWs6GefbauuabW12scpz/nBU+c2azGsS6+uJ1zTi0WNQy1d29973s1n9fqWboJs6Qn0cZGzed1//21Y0e98EKNvY7eNu7d0459+8T325rwJFoN89NOq8svr+WyhqEOHGjXXV/r6xO/gGfCk2sc6+WX67R3jQ89PKxtqdb6j39UO3e2Cd+WN+HJ1Voddljd9K1hNhur1/rL7eorx+f+NuUhKHii9V5n76hPXtoWiz6f10MPz75y3ZSflrekJ9rq3vufHuvvPasfODAMrdbm4513tlNPm+a7Lid3QvDfWD1Uc9S2du3nh6FV7/XSy8PVV9dLL1VNcb+t4EnXWm0s6qKLatfO5Tj2LVvqjrvad7+7uUVnYizpYfM1WA8+WLt21VNPVe919NH1k5/USSdN7YsrTHio2aw2NuqUU+qyy2oca22tDhyo666rxaJqWgt7Ex429V7r63XGGfXAA6uvmu633touuGBST8sLHjatwr7rrnrf+3pVG3u9/djx3nuHN795Os1b0sOm1abaM8+syy9vy2XNZ/Xoo+3LX5rUay5NeHjVOFZr9fjj/dxza//+NpvVbNb37mlnvmciQ96Eh1cNQ41jHXVU+8K1fcuWPsxqfb2u+MzyxRer9ylcvRM8vMaq+fMvGC44vxbrNQztgV/Pbryxr35/qLOkh3+1elr+kYf79u39r08Py2UdcUTdd19t23bIvwbrUD52eH3M57Vc1vEntM9+ri2Xdcwx9c1v1tatm5/wD2kmPPwbq0/sGxt18811/vm1bdvBPqD/EcHDf7aa7Yf6eK+q+cE+AHij6/3Q/tz+z6ZyHvC6mcBgf4XgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcg/AGd0NL6yDm9IAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "18112afd2da7b4e4f48d1506af4c5d15d938f219c3a281e25e95b7cc12b1faf7"} +{"episode": 38696, "episode_seed": 1311551710, "split": "train", "timestamp": "2025-09-15T23:25:49.586505", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1311551710, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "action": "('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "action": "('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "action": "('move', [2.9176716608189204, 4.549203220820471, -28.665014480297874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ed45e1403d826270027c0c32826caae9ad3a1390d741dddcbfdc58a863c7af36"} +{"episode": 38697, "episode_seed": 879153398, "split": "train", "timestamp": "2025-09-15T23:25:50.241659", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 879153398, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "action": "('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJJklEQVR4nO3dXaikdQHH8d/MOev6hi7twroq2ba+HaEESwi8KO9iJbS67wVR8aIuAmV7kYiwUAgNCUWkq0C80IggIjARQi/LLkIsaHtx3UVSE1T0nDnTxTNZXcc8M5zf58NezDl78Qyc+c7/P//nef4zmc/nATpMV/0EgPEIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHopsrvoJQKn5fPFvOs1kMtJBBQ8rMJ8nyXT0GbbgYQWGIf306Zw5k8OHc9FFmc/HGOd9hodR7e4mycmTueOOfPazufnmPP74f36/bEZ4GNUwmd/ZyS9/mb/+NUleeCFJdnezsbH0oxvhYVTTaebzHDuWra1sbGQ6zV/+kmSkdTvBw6gmk2xvZzLJwYOZzbK7m9deyxtvZHNzMfgvleBhNT784cWD11/PyZNJBA970TB7v/zy7N+f/FfwI6zbCR7GNpx+P3Ys55+fJG+9JXjYu4bgr7hiEfx8vgh+jEOPdBzg3yaTzGY5fDgXXLD4zalTmc/HWLcTPKzAEPb763anTuXVVxdn7JZK8GtvNhtj9ZZxDbP6q69e/HjqVE6fHuW4YxyE/8fGxnj3UjGuq69elP/yy4vgl71uJ/h1NZslye9/n5tuyq9+tbiRkr1ieA/f2srmZqbTvPfeInhT+krDnVPb2/ne9/KLX+RLX8qZM5lMNL9nDMFfdVX27Vs83t4e47iCX1fTaR57LE88kY2NfP3r490/yYgOHMiRI6O+jQt+/Qxh/+EPueeeJDl+PF/+8kg3TzK6a64Z9W8r+LU0m+WrX80//pEPfjD33Zfzzze871VbW6MeTvBrZmcnk0nuuy9PP519+/KNb2RrKzs7Y9wqzSoIvthsls3NPPts7r03SW65Jbfdpva9avjofs01ox7UjjfrZJi079+fra289loefHCxoanJ/N516aU599y8/fZIhxP82pjPF6s3n/hEfv3r/PGPufjiZKydUFiRc87JlVfmd7+z402byWRxEcbubi64IB/7mLPue9tQ+Nln56qrkrG2rBb8GhjCPnMmd96ZP/8502l2djKbGdsb7N+fK69M7GlXZAj+u9/NI4/k85/Pn/5kla7EcLJ1GOEF32F3N9NpfvrTPPpoptN88pM5dmzx/UPsdcOizdGjySgb2kXwKzbM2//+93zta9nezvXX55vfXPyX+XyNgweT5L33xjiW4Ffn/W8kOHEiJ0/mvPPygx/k0KHFmE+B4V39wIEcOiT4PW/4qpHHH89TTyXJiRO54YaRvn+E9TAE/4EP5OhRd8vtbbNZNjbywgu5++68805uvDF33WVsL7S7m3378qEP5d13xzicl9eKDO/tr7ySd9/NhRfmwQezf7/P7W2G3SyTXHbZ4sGyudJuFd6/qO7Tn87TT+f06Xz0o6t+TqzSpZfmnHOS5a/VCn4Vhovqksznue66//k9ZYa/+SWXLL6FZtkvAVP6VXjnnTz8cN5+ezGlG2cyx1oaFm2OHMnhw4ng95qdnSS5//585Ss5fjyvvrr4xmBavT/CHznynx+Xx5R+RMPt7s88k4ceymyWAwdy8KCV+XJD4UeOLB4sO/jJ3C1Z4xjC/uc/c/x4nnsuR4/m+edz+LC9qxiTsWUUw7vqbJbvfz/PPZfNzTzwgNoZn+BHMZlkOs2zz+ZHP0qS22/PZz6T3V21MzJT+rGcOZNPfSovvpiPfzw///lIa7Lwv4zwyze8pf7mN3nppZx9dr797Vx0kf0tWAkj/JINF9UNe1E+9VReeiknTiwm84JndIIfhXNvrAevwqUZvu/1zTfz/POL2l1Ux6oJfmmGefuTT+Zzn8sXv5g333RRHSvn9bccwz4WL76Yb30rp0/nb3+zrQXrQPDLMWwvf+JETp3KoUN54IGcd54T76yc4JdgWAf94Q/zs5/lrLPyne/k2mvVzjoQ/BJMJtnezo9/nCQ33ZQvfGFxk5zgWTWn5ZZjNstvf5uf/CS33pqPfGSxgx2smuCXabg3xh0yrA1T+qUZPrSrnXVihF8mtbNmjPDLpHbWjOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyL8AWYPSVpbaESkAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "action": "('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "action": "('move', [-10.20648088138135, -0.4323793797462034, 45.51284253404697])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b0fc09c842e8376c491ae584f6b19ae8b99f02a9572a21f8525d4fc779fd7798"} +{"episode": 38698, "episode_seed": 4050198557, "split": "train", "timestamp": "2025-09-15T23:25:50.895515", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4050198557, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "action": "('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "action": "('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "action": "('move', [-1.5354613412825906, 1.9142168411902214, 49.75767756439095])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHC0lEQVR4nO3c0W4c5RnH4Xd2N7IDUqKgVqlInZAWgZuIxKFSD7gL7gDup70OLqU9CXZCpIAcydQkCJKqBYUoqdmdrwezbZrYIE5g7fk/z9Fqjj7J89t3Zjz7da21AjJMVr0A4JcjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgyW/UC+FkcHCw/TKc1na50KRwnXWtt1WsAfiEm/AgdHNQHH9R331VVvf9+ffhhtVZdt+plcQwIflSGsO/erY8+Wh55771W1c3nderUSlfG8SD4URmCv3Wr1tdrPq9T0/7a1VY1Nd4ZeEo/Kq2v1urW9uLZs5rP6zevTy5cnFa5nmdJ8KMyTPhPbreqVlUbG3X5cpXg+S/Bj0drNZ3Vkyf14KtZVVfVXr9QZ87UfF4Tf2eqSvBj0vfVdbW7W99+Mxxob16eD8dh4KHdeAxvVNy9W//8V1XV6dOTK1e7KuOd55wL49H31Vp9emfx9GlfVefO1eYfunIDz/8x4cdjMqmuq3t7yzdpz56tt96q1kx4nnMujETf12xWjx/Xgy+XRy5cqFdfrfnchOc5wY/EcAO/t1dffLE88s473qjlZYIfiSH4/f26f7+qajar69er6wTPCwQ/EkPwn3/eDg5a19XaWm1tVXlix4sEPxLTabVW9+51VV1VvbLeb25WCZ4XCX4M+r4mk3r8uHZ3q6paqzd/36+tuYfnZYIfj0cP22efLrcz+eOfbHPDEQQ/BsMN/KNHbW9vMZ1V19XWlsnOEQQ/BsN1+9/3J32bTSfVWr377qrXxLEk+DGYTKq1un27qmo+r1fWF29cWvWaOJYEf+IN1/PP/l137lRV9X1t3ejWTrfyiJ5DBD8ST5+0W9uL4fO165PT61rnCIIfiW++7fbvT4adKod37Ow/zmGCH4k7n1Rr3XANf+VKVQmeIwj+xBsi396pqvr++zp7ts6fX+mCOMYEPxI7H/dV1VpdvVrnzq16NRxXgh+J7Y+XO9e9/Xa99lqVR/QcRfAn23Cj/uBBff2P2WRaVbW5WbPZckNLeIngT7Yh+J2dms+rtepq8btLi7JTLT/AnnZjsLNTi0W1Vr/+1eS3F6uGn8jCISb8yTbsVLt9czGM+kuXu42LXZXiOZoJf4INO9J2Xe3eW/4H/tLFOn9++fN4OMx5cYINwe/v19cPJ61Va7WxUbOZnWr5QSb8CTZUfeZM/eXP9de/1c2bdePG8+NwWNe8gQkxTPgx+N+XttnOjxP8GOicn8hDOwgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH39kCflKbXzYAAAAAElFTkSuQmCC", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "33972a859efcf224892e6d7035bb6bfa70d3c9e983c3fa3896414e3e1ee7089f"} +{"episode": 38699, "episode_seed": 1261849288, "split": "train", "timestamp": "2025-09-15T23:25:51.543722", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 428, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1261849288, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "action": "('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJy0lEQVR4nO3dy49UaR3H4W91ddPAgoUGbwGlXXBRLmImwDhISIzRmLiQBNBBtsa4ceP8D7Nwp3+AiTIXmMlkXLiYxMSERMJFBeXmBZXA4BhDdDLGdNNdVS5OjUSNSHeX1qn5Pc+OYvNuPv2e93dOneoMBoMANUyNewHA/4/goRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FTI97AaPR66XXe/jPbjfd7vhWA23VGQwG417Dag0G6XTGvQiYBBO/w/d66Xbzwx/mW99Kv5/p6fztbzlyJF/5SuJvAfyzyQ5+cTEzM/nRj3LyZP7wh+GHBw7k059O1A7/ZoKHdk3tZ88Oa1+/Pkk+97m89lrm5tLvqx3+1aSe4Zsr+XPncvx47tzJmjV58CCf+lROn8673pV+P1MT/KcM/lcmMvim5wsXcuxYbt/O9HSWlnL4cE6fzsaNruThP5q8fbDXy9RUzp8f1r5mTZaWhnv7xo2u5OFRJiz4paV0u7l4MSdO5PbtzM7mwYMcPpzvfS8bNw7/FgD/yST1sbSU6en89Kc5eTK3bmXduiws5ODBnDqV971veKoHHmFizvBNz1eu5ItfzM2bmZ3NwkKefDKnT2fTJlM6eCyTEXzT87VrOXo0N24Mp3T79uWll7J5sykdPK4J2Babk/nVqzl2LDduZGYmS0s5cCBnzmTzZlM6WIa2B99cyV+/nhMncv16ZmezuJj9+/Pcc/ngB03pYHlanUszk795MydP5uc/z/r1WVjIxz+eU6cyNzf8X+DxtfcM3+ztv/lNvvSlXLqUtWszP5/du3PmTLZuNZOHlWhp8M2U7ve/z/HjuXAhMzNZXMxHP5qXX862bWbysEJt7OYftR89+rD23buHtQ8GaocVal06zRzu9u08/XQuXRpO6XbtyqlT2bYtvZ6ZPKxcu4Lv99Pt5vXX8+Uv59y54ZRux45897vZuTOLi87tsCotOsM3z8/cu5cjR3L+/PBZuq1b88IL2bt3+FwtsBrt2uEHg9y/P3x3zcJCPvzhPP989u5Nr6d2GIEW7fB5e1x382Y+//ksLOTVV7N3r5k8jEy7gs/bzV+5ksEgH/uY2mGUWhd88vChGk/XwGi1Mfgk/X4SezuMWEuDB/4X7KFQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQqbHvQCYQINB+v0k6XbHvZTl6QwGg3GvAfg/scPD8s3P5+rV9PvZuzczM+NezTI4w8NyNFfy3/9+vvCFfOMb+fOfk2RyLpPt8LAcTdszM7l7N2+8kfv38573ZDBIpzPulT0WOzws37ZtmZvL0lKuXk0yKbVH8LA8TdubNmXnznS7uXDh4YeTQPCwHFNT6fWyYUM+8pH0ennllczPj3tNy+AMD8vUHOP37Mnu3dm/f4K297gPDyv017/mzTezcWNmZiaoecHDKkzOfL7hDA8r0uyUnU4ePJig+/CCh+VrNvY7d/LNb+ZrX8vdu8MPW8/QDpav30+3m7t388wzSfKZz2Tz5om4vLfDw/J1u+n3s29fdu9Ot5tz55Kk1xv3sv47wcOKDAbpdrNrV3q9/OQnSTI11f6resHDijRX7089lSR37+a3v023K3h4h2qCP3QoU1O5dy8/+1ny9nfpWkzwsCJN8Dt2ZPPmzM/n8uVE8PDONjWVgweT5PLlPHiQmZmWX9ULHlbn4MFs2JAdOzI/3/7bch6thdVpnrSbnZ2I+/CCh1FYXEynk+m2P8kmeCjEGR5Wodkvf/e7fP3r+epX88c/PvywlezwsAq9XrrdnD2bQ4eS5OLFPPFE+v1MtXQrbemyYDI0U7oPfCA7dmRqKr/4xcMPW0nwsApN2+9/f/bsyWCQc+fS6wke3rmWlrJ+fXbtymCQs2db/k5LwcMqdDrDEd327VmzJr/6Ve7dS9o7txM8rE7zA7Lbt+dDH0qS8+fHu5xHEzysTrPJb92aubn0+/nBD8a9oEdp+4NB0HadThYXMzOTffty507e/e5xL+hR3IeHVWueov/TnzI7mw0bxr2aRxE8jNTiYqanW3tnTvAwIpPwbTlneBiFpvZf/jLf+U7eeivf/vbDX6poE1N6GIXm5VY//nGefTYvvphr1x7eom8TwcMoNN+WOXw469blL3/JpUtJG19xJ3gYhWY/n5vLli1ZWmrtS2wFD6MzGOSTn0ySmzczP9/Cd1oKHkan0xm+xPbWrdy6lU6nbZu84GGkPvGJdLu5fTu//nXSum/RCB5G6r3vzbZtWVwc/sJky7gPDyPS3HJfuzaf/WympzM3lyTT0616IMeTdjBq9+5lYSFbtrSn838QPBTikh5GrZnMdzp2eGCcTOmhEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIX8HCYpYm5X1hXsAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "action": "('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "action": "('move', [4.628678371196632, -3.678271904507478, -40.71146845881105])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIHElEQVR4nO3dT5NcVR3H4d+5PRgiQZMYSg2WASmRkBACFFCQiMGqLHlrvAxeAxsXyUCZohhSJAERkLhACSMykcif4HQfFz26sUromejczvd5VtO9+m0+c+49t/t0670XkGHY7QGA/x/BQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBQxDBw3b0Xr3v9hCLEzwsZt55a9Xabo+yOMHDYuadf/ppffRRbW7u9jQLWtntAWDJrK3VSy/VK6/UtWt17lzdd1/1vjSrveBhMRcv1osvbv394YdLFrxLevi25nfvv36+f2dl+p09NQx14UJV1bA8GS3PpDAO+/e3h462r2/WbFar52fT6W4PtAjBw2K+9/06dXpoVW2oV1dnX3652wMtQvDwbbVWs1mtrNRTT/ZefWVSf72+8vbbVbU0z+QFDwuYh/2LB2vv3tnmtKrq/PndnWgxgocFzHfjf3KkHT066bOqqnPnelnh4bbUWvVeh39cJ05svfPmm+3rr7feHz/BwwJaq83Nmkzq2LGtl9ev19obgofb1Pyq/vjxuvvu6r2++KJeXe3L8l0awcNi5h+zeeSRuv/+qqrptF/4bZ9v4I+f4GExw1DTaR0+XEeO9Kpe1d7/YLhxoyaTJVjkBQ8Lm06rtTpxfGtNv3atLl3a+kcwcoKHhU0mVVVPPzO5e1+rqvX12cW1aS3DwznBw8Lme/JPPlUHflBV1Xu7dHmoWoLvzAkeFjYMNZvVj35YP713fhHf3n2/bWzUysrYt+4ED9vUez377FZBv3urv/durxI83I6GoVqrU8+1yaSGSa3/pb/33ujv4AUP2zO/XT99qu68s/deVcPlK0PV2B/OCR627+DBOn6sz79Fs7ZWGxtj37cTPOzIc7/a2p9fW6v19apxP5wTPOzImTNVVXfcURsbdfXqLg/zjQQP2zRfyU+cqDv39OmsWluCMy1HPBosg/3767HHarpZvdcrq7ObN3d7oP9K8LBN8/25ffvq9C9bazWZ1IVXZzc+G/UBOIKH7Zt/zObpp3vvfTKpz2+uXLo86m16wcP2zVfyB35W++6a/WOzqur86u5O9A0ED9s33587fG87efJfZ1r+ZtS/Lyl42JHe69ChOvnY1ssrb01u3BjvEXeCh+2bn2k5DPXIsVnVbBjq71+0116rGuu+neBhR+Z79Q8dbQcPtNmsbt6s1dUa7ZmWgocdmd/GP3ys/fzBVlW914ULLunhNjUMtblZhw7VAw9svXP1am1sjPRrc4KHnZrNqvd69NGtl598Uq+/XuM8uFrwsFOTSbVWTzxRBw9WVW1szNZem1bVbHyH2Aoedmp+x/7443XPPVVVvQ9vXhl6rza+vMY3ESyb+Yn0Bw7U/Ue21vQ/fNDW18d4pqXg4ZZ59tTQWq+qd9/p77w9xm/RCB5ugfnDuVOn2549bRjqb5/1d34/xkNsBQ+3wDz4Z56pu77bZ7Nqbbh0ZaiqlZVxLfKCh1uj99q7t06emM3/vvhGffzx6D6BI3i4lZ57ftJatVaXL83+/KcxtV5Vgodb68yZ6r327KnPv2xX/7jb0/wHwcOt9PDDtW9fffVV9Vl7+eU2nY7rTMuV3R4AbhP/PuLuhRfq+vU6e7bOnh1X7VXV+qi2FGD5bW5WVa2McjEVPPyv9D66X54a2QUH3EbGVnsJHqIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8EwF6g7SJ8ildAAAAAElFTkSuQmCC", "image_next": "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", "info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "801911d94b6b0198d03c9c4d2b595e7b3aa69fbda3639a282693aab38a2c0b7c"}