diff --git "a/mental_rotation_3d_objaverse/train/batch_002520.jsonl" "b/mental_rotation_3d_objaverse/train/batch_002520.jsonl"
new file mode 100644--- /dev/null
+++ "b/mental_rotation_3d_objaverse/train/batch_002520.jsonl"
@@ -0,0 +1,20 @@
+{"episode": 50400, "episode_seed": 1869195511, "split": "train", "timestamp": "2025-10-24T09:34:49.429840", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1869195511, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -73.1])</answer>", "action": "('rotate', [0.0, 0.0, -73.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-59.0, 0.0, 0.0])</answer>", "action": "('rotate', [-59.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -92.2, 0.0])</answer>", "action": "('rotate', [0.0, -92.2, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "2a59563473ac5778ba9baefe1081f2d8e3dea0817de64f0fdda091670838751f"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 15.1])</answer>", "action": "('rotate', [0.0, 0.0, 15.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [43.1, 0.0, 0.0])</answer>", "action": "('rotate', [43.1, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -136.5, 0.0])</answer>", "action": "('rotate', [0.0, -136.5, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "ae27db2cd8b634f30e9f4d756a3408518199da01a481bf763ad0ab12f9b0d624"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -130.0])</answer>", "action": "('rotate', [0.0, 0.0, -130.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [32.1, 0.0, 0.0])</answer>", "action": "('rotate', [32.1, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -112.0, 0.0])</answer>", "action": "('rotate', [0.0, -112.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "4442e529e3ca76c73946f91f5768a0bbaef48d3556f626db62f6d9754559a6ae"}
+{"episode": 50403, "episode_seed": 2368127527, "split": "train", "timestamp": "2025-10-24T09:35:02.403004", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2368127527, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -161.3])</answer>", "action": "('rotate', [0.0, 0.0, -161.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.8, 0.0, 0.0])</answer>", "action": "('rotate', [-30.8, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 114.9, 0.0])</answer>", "action": "('rotate', [0.0, 114.9, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "c3f0aa7dca60ad6edc8bf52c6a9d97a718a7309a5b73b50d59d658fb2af39e2e"}
+{"episode": 50404, "episode_seed": 1297469680, "split": "train", "timestamp": "2025-10-24T09:35:03.563374", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1297469680, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 151.1])</answer>", "action": "('rotate', [0.0, 0.0, 151.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-55.0, 0.0, 0.0])</answer>", "action": "('rotate', [-55.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -162.3, 0.0])</answer>", "action": "('rotate', [0.0, -162.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "ef8f56c9e27e06dce1b5c7d179bf93594bf565e1e6dac39f7bb149e29744a2d5"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 65.7])</answer>", "action": "('rotate', [0.0, 0.0, 65.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.5, 0.0, 0.0])</answer>", "action": "('rotate', [-30.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -96.5, 0.0])</answer>", "action": "('rotate', [0.0, -96.5, 0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "b0ce93493f77b3b2354a2cb1045aa2f0271437591f181a192133e7d5c6d03a55"}
+{"episode": 50406, "episode_seed": 3008908861, "split": "train", "timestamp": "2025-10-24T09:35:12.775399", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3008908861, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 116.7])</answer>", "action": "('rotate', [0.0, 0.0, 116.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-33.7, 0.0, 0.0])</answer>", "action": "('rotate', [-33.7, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -91.7, 0.0])</answer>", "action": "('rotate', [0.0, -91.7, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "a43e8cac252de2b055f0c49ce44bfd4a9295898896fb591adf201c09844b670a"}
+{"episode": 50407, "episode_seed": 419462335, "split": "train", "timestamp": "2025-10-24T09:35:17.942030", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 419462335, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -89.1])</answer>", "action": "('rotate', [0.0, 0.0, -89.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [65.5, 0.0, 0.0])</answer>", "action": "('rotate', [65.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 91.5, 0.0])</answer>", "action": "('rotate', [0.0, 91.5, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "0dd4e0df1d326704700816c460db6717b9f2859129c2b2331e6eb629694e540b"}
+{"episode": 50408, "episode_seed": 3044735801, "split": "train", "timestamp": "2025-10-24T09:35:21.129641", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3044735801, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 80.0])</answer>", "action": "('rotate', [0.0, 0.0, 80.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-51.5, 0.0, 0.0])</answer>", "action": "('rotate', [-51.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 94.4, 0.0])</answer>", "action": "('rotate', [0.0, 94.4, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "80ac78a8e35f9a99dbbae7f7adea50580165b86b2f683dd7781700c086b2ff27"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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GZOp3GvR6Lp9rJoiRpFLAru12pztxjAA6kgVNrd/r73Gnk6DEqCdCQb0Fid6Yx8uOvXPrWj4x1KDTtPtPPE2JbuIBo4WcDDZ5wDj29e1Z+ueK9KF1psbG8UvcLtL2UygkOpwMpycA4A9KH6gjnPGVpr2qa9b3J0qGIQxQx+X9qDMWa4Xac4xgkAe3Wrtgde02OSyk0WN4Eu7TdIt2odCGjwNuMHJHUN3FTa34t0r/AISCO2b7WjSizMbPZyqHK3O5lAK5yFBPTntk8VM3i7SLjXb3TTNLBcy3to8K3ELxecA0W7buA6ehweM4xzStrcL6Hdg5AJBHse1LRRWhAUUUUAFFFFABUc88VrbyTzuEijUs7HoAKLieK1t5LidxHFGpZ2PQAVxN9ejxpfy2kMoXw3YOGv7jOBcMvzeWD/dHBP8A+qk2NIrTyweI9/iLV7Z5tIgYxaXp5XJupD8u/bjnJ4UdsE9Bk4UWmt4dmkurbUF0fVyjGaxvgPIkjyTtjf5tw6DBJ59K6ZL66l1SDXrvR520OFMWAiG54ARgytEOcEdMZ2r9a434i+NofE6QaNpDE2YInuJ3TBJB4UZ6Yx+vtzDsWrnHarqCa9rJvIIra2g+X/RYVKhWGcnHTqSePyrDvZze3+xS3lW5J6cFhwWPsM4H/wBcU/VJFt0htYV/fDBL90X/ABOP50SiWW4NrJI7XD7Ewoz8390j2JxmoRbLGnac2pXk8UeI4o4y8ceN+9iQqRr2JJYZyegY9sV65HpLx6Votneaek02oS86ki+apLxkBjgZUquAP4eBzjOOM8J6PFbXdjq1z58NrAhEslhMPOLgEs5XJOz+HjqF4Br0z4bX2oX9hPJNcNLYKkMdusgAdCqBWHykgDIxjrxkgEmriQy5P4WvYG0ixs7lJ9ItZR5kFyAHWILjaGA+YdPlK8jOWrVfwxpba1barHbrBc25ZgYQEDswxlsdTgsP+BewrYoq7EXCiiimIKKKKACiiigApCAQQRkHqDS0jgsjBW2sRgNjOPegDibG20iKbT454bJXl1O/AV1QFwsk2Bz1wB+AFT2Ftoq64kLQ2GTFdOEKpyPPAzj6EfpWDp/hJp9Vi1Ge/W4uZr+8iUz2yyLEqyTZCqeBubLH6+wqfSvBoj1+ef7VbtPcCcsz2MbBVWUKFVTwBwT+JqPkWdDodlpE1zfwC2sZHjmdvLCISqmR8HHYVuWGnWumwGG1hSNSxY7VAJJJPOB71j+FfDK6AL+Zyj3N3cvIziIJhc4AGDwMAHHauiqkiWytfafbajCIrmJXAIIJUEjnPGR7Vha7ZaTHcWELW1kjPOjbDGgLASJk47iumrnPFfhhfEH9nzRssdzZ3KSq3lq25c4YHPVcEnHfFDQJmdrMGkf2qYEisfl+xPsVU4BugCce4BH0qSe10m4udQijgspDDfWa7VRDsBaIkY7Zz+tYuueER/bFvObmATQNbBSlmiKQ84UhlHBHQ89cCnXPhGWLWpdRttSFtcwXNtC3kWqIsqs8ZAZRxgHB+o7ZNSUejgBQAAABwAKWkGcDJBPfFLVkBRRRQAUUUUAQ3VrBfWstrdRJLBKu10cZDCvOta8H6hoMbyaQZb7Ri6yXWmyOSSFOcf7S+3Xp96vS6ztY1zT9Ds5bi+uoo9kZcRs4DPj0HU84H40mkxptHD+IfiZaJ4UzpKyR6ncfuEiIx5DY5bPTA7frivHpWXSrV5nYySt7/fc9vzz/AJFa2t6hdanqM+puiRzzuZJYcbVUYGAfQgDk9c5rkJ7qS9mEshKqFxCnoDj5j7kfoKyu3ua2SGQu5maaR98jglyDwT9PTHQewrqPDNi82oWcz2rYvvMjQoheQICA8kQIwWGHUYzyDx0rP8OeHbzxBrEVhZQmQ4Mk3zbQqDqSwBxngDg8kV3+ieG9G0q2ttU1BZradGjF3p1xEVMan5fMXIDEknOV6M3bAp2Fcj1K2D6GNJ024F7DYLcys/klJre2VpBhn4DBhg4PcHjkCuk0/wATz6Prp0iyC6gjXEEbh4WinjTYcjZgAkBT9T25zWdd+HdS0d9ZuVnmlkvbQ3LR+ewmiXLKI2JJE3BUEHBJ6cjm94Vkl1DV5tZ1WJF1Br+KBnKhDGdrAx7T8wOcDkYOBjnNPqSepUUUVoQFFFFABRRRQAUUUUAFI7bEZtpbAzhep+lLRQB5fpovtT1Y3k8OsW1hY3l39nhtoTmV3ll3Oxz8uA+zbg8hs9sa/g+yv7vXb7V7pr2C2t5JrW0t5+sil9zSMT3LADHYr7120cUcKlYo0jUszEKMDLEkn6kkk+5pVRUGEUKMk4AxyTkn86mw7jqKKKoQUUUUAcH400+6t9bstWt5L2SCeW3triGEkhVWUMHHYNuwAO5YnsM0bl9Q0vW2vYbbWLmwvrm3E8M8PzRMrx7ZAc8527dvup9a9IkjjlULIiuoYMAwyMg5B+oIB/Ch40kUK6KwBDYYZ5ByD+BANTYq4oOQCM8+oxS0UVRIUUUUAFFFFABXm/xVvbLZY2bwlr5CZo5ckeWh4I98kD8vpXpFYfinw5a+ItHmhkiH2pEY20w+8j4OOe4z1B4NTJXVhxdmfNer3omm+wRkFRg3De2R8o/PJ9vrWegLM0jnc3qeame1NrG8cm7f99y5+bcflfPvkg+2K7f4XeFJtb8RW+pXFqZNLsX3u7NhXmAyi46nBwxHT7ue4OcUayZ6b8M/CR8NeHRNdxFNTvcSThgN0a/wx/gOT/tMfauj1rQbHX7eGG+RyIZVmjaNtrKw6YbqPwx0rTorYxOGvbXVLPxTZvqJmv8ASbePzHuUtxvGGyiyYPzBWG7Kr1AOOtV47HTvFXia7FtINtpfJd/bbZhux5MRRQ3IOX3N7bD616DWZp+g2Wl6heXtt5iyXjb5V3fJnthRwPr1pWHc06KKKYgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACkOdp2gE44BOKWigD5i1TSNWv8AxlJpC2Qj1O4unHkbMKgfJLf7o+9kcYHHavovQNEtPDmiWulWQPkwLgs33pGPLM3uSSfx44q21lavex3rW8Ruo0MaTFRvVSQSAfQkCp6lKw27hRRRVCCiiigAooooAKKKKACiiigD/9k=", 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", 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 136.4])</answer>", "action": "('rotate', [0.0, 0.0, 136.4])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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nHP8An/PNTqVoPgKwyrtUDntT5Y1Ej8jB5A9j2/H+lR/K7ZBz3OO+e34n+VPu3C2yOOWJ2A9s+v8AOlqPQqTAzP5e7IHf1Pc/5/pTZPPSRIlkeQnkgtwKng2wxl2TKjnn/P40wkrCZif3shwB6U7isaPhXWBpvibT7skERXCh8njGcHn6E19P14f8LfCdvqepSXt7AstvaAEI4yryHpn1xjP5V7hW0NjKe4UUUVZAUhOATgn2FLRQB5hOddv7VLGHRY/Ikv78JKbxQ5YyTFhsxgYOR97nFN8LW/iDTfEc9ydFjbzrZ4xH9sUMNkpyTwR1OOvatSz8R6bb31pa+bLNNDqV+0y28DzeUDLNt3bAcE5GB1wQcY5p2l+L9Hk8QyRRy3MjwJcCYR2czeWWm3KGAXIJHPtjnBqLal9Cxot/r6XF+RoMTIZ3IAvVDA73Jz8uOpxx6e9QaXc6/Lol/bJoSOks06q63igjcSOQR1zmrOieKtKNzqSBrttlwwYpZTNglmODheDgjg+v1q94O1K31HT7v7P5pEV3KCzxMgOWJ4JAz7+h60IGZOp3GvR6Lp9rJoiRpFLAru12pztxjAA6kgVNrd/r73Gnk6DEqCdCQb0Fid6Yx8uOvXPrWj4x1KDTtPtPPE2JbuIBo4WcDDZ5wDj29e1Z+ueK9KF1psbG8UvcLtL2UygkOpwMpycA4A9KH6gjnPGVpr2qa9b3J0qGIQxQx+X9qDMWa4Xac4xgkAe3Wrtgde02OSyk0WN4Eu7TdIt2odCGjwNuMHJHUN3FTa34t0r/AISCO2b7WjSizMbPZyqHK3O5lAK5yFBPTntk8VM3i7SLjXb3TTNLBcy3to8K3ELxecA0W7buA6ehweM4xzStrcL6Hdg5AJBHse1LRRWhAUUUUAFFFFABRRRQBy/jzws3ivQBbQMq3cMgkgZyduehzz6Hrg4ryFfhV4pRpDHp0JKMVBEyLu56jJHH9K+hqKlxTGpNHy3c+Hr+01G4sbm12XMZSF4wATkjKgYPJIBIAzkVXk0+WO5hU27eav7sLsyegIHtwRx7ivafiFodikyas2mi6muCkBZo96xS7l8uVgQRtGCpX+PcoxXnl++lRRtFYpcafLbKJbeRgIWSLBEm44UtIWHygY4xyORUOJopHNR6aY/mSIgg5JCnPGT/AEP5Govs8EkhR4j13njqa63RdNlubyHUY9Ue0tChiMizFhYwPu8pcMzZUuCCu49SDgmlufC13p95ayW0z7hIzOZYFLQxrtcSuhOCu1gxzwGBU8ilYdzlxZRKemAOnOP8/wD16mOEt/LQAbcMAP8AP+c12VtpdjoHxDj07U2W+sYVWM+RbF9xEZxuVQSW6lsex9RSxxeF7/R9alN7DBJbS+XYknYZYUJYNhvvOwyuTjlR05pcrHzI5AFWCktk9RxRJH5igAbmJG0Y6mvaLT4feEtT0y3urW1mSKaNXUickgEdDkkZ9felj+FmhRXEU0U98pjcNt8xcHBz/dz+RpuDEpo2vCGif2B4atbNlAnI8ycju7dc/QYH4Vu0UVqlYxeoUUUUwCkIBBBGQeoNLSOCyMFbaxGA2M496AOJsbbSIptPjnhsleXU78BXVAXCyTYHPXAH4AVPYW2irriQtDYZMV04QqnI88DOPoR+lYOn+Emn1WLUZ79bi5mv7yJTPbLIsSrJNkKp4G5ssfr7Cp9K8GiPX55/tVu09wJyzPYxsFVZQoVVPAHBP4mo+RZ0Oh2WkTXN/ALaxkeOZ28sIhKqZHwcdhW5Yada6bAYbWFI1LFjtUAkkk84HvWP4V8MroAv5nKPc3dy8jOIgmFzgAYPAwAcdq6KqSJbK19p9tqMIiuYlcAgglQSOc8ZHtWFrtlpMdxYQtbWSM86NsMaAsBImTjuK6auc8V+GF8Qf2fNGyx3NncpKreWrblzhgc9VwScd8UNAmZ2swaR/apgSKx+X7E+xVTgG6AJx7gEfSpJ7XSbi51CKOCykMN9ZrtVEOwFoiRjtnP61i654RH9sW85uYBNA1sFKWaIpDzhSGUcEdDz1wKdc+EZYtal1G21IW1zBc20LeRaoiyqzxkBlHGAcH6jtk1JR6OAFAAAAHAApaQZwMkE98UtWQFFFFABRRRQAUUUUAFFFFAFe/theafcW5VWMkZUbumccHocc45ryHWbfW7LzIb7TbHVJVaW7kAjG+ZwArnbg/KoYMoIGcg4OK9mrndW8G6fql8b4yTw3LzRyyFZWKPsUrtKZwQVYg+xPqaTQ0zn9K+Hek3+mtPNHPDHPAIo41YqCmQwZ1JPVwGC54AUc4NLrPhew0O/bUYL+9soLiKSN3ExcIwQFF+bdlTsb5TwSVAxwD6DWdrWi2mv6ebG98zySwf925U5HT/P49qLBc8dudD1bT/Dn2QXxfVZLkm6t1hBljTymZmEgIJXy3weOSxA569dqaWtnrOk6ZDbyy6Y9tE19FZW7SBtgdohhcn5irE8ZIQA57S6l4cTw7riaxbazeWUEkMkJdsT7CBvCnzNxIbae45Cgc4p3hQaloeg31vdpD/ajXEcMMfJbc0a7Axzgoq+gAARuM5qbFGv4M1OzuLW7020wI7CdkjBUoxjYll+QgEYB28jqprp6qafp8GnWscMKjKqFaQj5pD6se5JJP4mrdWiAooooAKKKKACkdtiM20tgZwvU/SlooA8v00X2p6sbyeHWLawsby7+zw20JzK7yy7nY5+XAfZtweQ2e2NfwfZX93rt9q9017BbW8k1raW8/WRS+5pGJ7lgBjsV967aOKOFSsUaRqWZiFGBliST9SSSfc0qoqDCKFGScAY5JyT+dTYdx1FFFUIKKKKAOD8aafdW+t2WrW8l7JBPLb21xDCSQqrKGDjsG3YAHcsT2GaNy+oaXrbXsNtrFzYX1zbieGeH5omV49sgOec7du33U+tekSRxyqFkRXUMGAYZGQcg/UEA/hQ8aSKFdFYAhsMM8g5B/AgGpsVcUHIBGefUYpaKKokKKKKACiiigAooooAKKKKACiiigAooooAyPEfh+HxJp0dnPPLCqSiYNFjO4A457ckHjB461lQeGNQs/GVvqceoSXFisJjZLtvNdfvEbTweNxAJLHDN0zXWUUrDuFFFFMQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/2Q==", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-38.7, 0.0, 0.0])</answer>", "action": "('rotate', [-38.7, 0.0, 0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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kHP8ALGD+Jrzme5uQUCaldfN3YKAQOp+704OKrJLdo0hW+nU7Qx4QZc9j8vuv5GnqLQ+hPD/xDm1bW7exuLOOJJiVDpuJBxx+vFd9Xz18K9Bvte8TrcXV9d/ZNPCTvt2gNJnKLnHHHJ78HpX0LWkb21M5WvoFFFFWSFITgE4J9hS0UAeYTnXb+1Sxh0WPyJL+/CSm8UOWMkxYbMYGDkfe5xTfC1v4g03xHPcnRY2862eMR/bFDDZKck8EdTjr2rUs/Eem299aWvmyzTQ6lftMtvA83lAyzbd2wHBORgdcEHGOadpfi/R5PEMkUctzI8CXAmEdnM3llptyhgFyCRz7Y5wai2pfQsaLf6+lxfkaDEyGdyAL1QwO9yc/LjqccenvUGl3Ovy6Jf2yaEjpLNOqut4oI3EjkEdc5qzonirSjc6kga7bZcMGKWUzYJZjg4Xg4I4Pr9aveDtSt9R0+7+z+aRFdygs8TIDlieCQM+/oetCBmTqdxr0ei6fayaIkaRSwK7tdqc7cYwAOpIFTa3f6+9xp5OgxKgnQkG9BYnemMfLjr1z61o+MdSg07T7TzxNiW7iAaOFnAw2ecA49vXtWfrnivShdabGxvFL3C7S9lMoJDqcDKcnAOAPSh+oI5zxlaa9qmvW9ydKhiEMUMfl/agzFmuF2nOMYJAHt1q7YHXtNjkspNFjeBLu03SLdqHQho8DbjByR1DdxU2t+LdK/wCEgjtm+1o0oszGz2cqhytzuZQCuchQT057ZPFTN4u0i412900zSwXMt7aPCtxC8XnANFu27gOnocHjOMc0ra3C+h3YOQCQR7HtS0UVoQFFFFABXHfE3RJNb8Gzi2gkmvbZ1nt1ijLOWBxgAc9+fpXY0UPUD5W/4QzxC0rE+HtVRBJvQC0k+Xj6fT8qLXw3q86yi10PUpRDIYpNtq52uOoPHUV9U0VPKVzHyhc6ZqFqkiPp11HLEdzo0TArk4GRjjJBH1FNexv1kitfsd0J2J/d+Wd3TJ/TFez+INHtdS8RvJ5TPHcahHYubdijIwWOQsSMZ+XzgQcjkHOcVUj8D6VN8QYVVJRYFLjMSTvyYwi8tu3DmTPXsB06xylXPJjp2pOwhjsblnjBWRApLA8EZH0YVI2k6rNFNNBpl/JDboBO0cLERkLkhsDjivYdC8FaRdeJNYFxbSG2i2i3VLuTjLyI24hs5/dDqemPw1bHwVpi2muWdpPdx+bO6KEvpgiFo1wCoYBuuTuyTk5OKaiHMeErouqQwxXE+l38cE6YheSBgJCw+UDI75qP+y9TjJR9Ou1aQYjDRkEnOTjj/Oa941DwXpf2bQrW6lvJXjnSI7r2Yq2I2yACxCg7c/Lg8AD0rN1zwVpFv4l0UQwzLbPv85Wu5Dn540ABLZBPmHOD0FLlDmPFV06/814GsLvz8jCGJs9CR+gY/hUkGk6jOy2y6fdPM7EpGsRJYqdrYHfBxmvWJfBOnw+P5la3mOmgW4VDLJkGQOvD7g3VM9T6e1W9B0bTtJ8RRzJbsVh1F9PWSaTzCXKyybxnoceSvGOQx96LBc8huvDOtQoi3GhaoglcRJutX+Zj0HTvSN4M8SZx/YGrMhcuwNo/PHTOPcj8a+qqKvlJ5jjfhloLaJ4QhNxBLFfXTNNcrKm1w2TgEfr+NdlRRTSsS3cKKKKYBSEAggjIPUGlpHBZGCttYjAbGce9AHE2NtpEU2nxzw2SvLqd+ArqgLhZJsDnrgD8AKnsLbRV1xIWhsMmK6cIVTkeeBnH0I/SsHT/AAk0+qxajPfrcXM1/eRKZ7ZZFiVZJshVPA3Nlj9fYVPpXg0R6/PP9qt2nuBOWZ7GNgqrKFCqp4A4J/E1HyLOh0Oy0ia5v4BbWMjxzO3lhEJVTI+DjsK3LDTrXTYDDawpGpYsdqgEkknnA96x/CvhldAF/M5R7m7uXkZxEEwucADB4GADjtXRVSRLZWvtPttRhEVzErgEEEqCRznjI9qwtdstJjuLCFrayRnnRthjQFgJEycdxXTVznivwwviD+z5o2WO5s7lJVby1bcucMDnquCTjvihoEzO1mDSP7VMCRWPy/Yn2KqcA3QBOPcAj6VJPa6TcXOoRRwWUhhvrNdqoh2AtESMds5/WsXXPCI/ti3nNzAJoGtgpSzRFIecKQyjgjoeeuBTrnwjLFrUuo22pC2uYLm2hbyLVEWVWeMgMo4wDg/UdsmpKPRwAoAAAA4AFLSDOBkgnvilqyAooooAKKKKACiiobqOaW2kS3nEEzDCyFN+0+uO9AHm1p4fspPEcFrMs6w311LcxBJnU7YzKrAnPPSDnk8nkcEzaF4bsrjxLdQSpd/Zws1wo+0SrlWl2ICQe3lueuTnJzxiDTNB1i71KDT7nX7m1vLCCRdsS/cUmMg8HB3b8Z5+5jtgWPCOg3Uuo30Go6vqBu7CJIH8ucrjczMAD1xjaffOazXoW/Uu6H4OsYfEGvJL9rMYkiERS6mj+UqWwSrAsQWIyT0A7k56fRtCttEN59neZhcy+YfMld9vAAGWJ9+ff2FRaToP9l6le3f266uBchAFnlLkbR1yf8j8a2atIlsy9Y0K21s2v2lpQLeXzB5crpnjBGVYe3Pb8a5rW/B9hLruhxxG8VHlk80tdSyfKoD4yzHbkqOhB79hXc1javoT6pqdjdC/u7dLcSK0cEpTduAw3HcYx9CaGgTOL17wvYw+KLeGL7V5OILpw1y7BUSQo65LZGfMUjuCDgju288PWa+Iri2jM3k2V3DdTGS4kP7t/KRVJLennn+98ifjJ4w8P3cep2MGnapqT3V6jRxrLcbhmNlcjnoCMk/7gqHUvDms2OpXFlaa7NPd6jHGqtMuRIVDsd2SdoURAA+r1HyKPUaKhtY5obWOO4n8+VR80uwLuP0HSpq0ICiiigAooooAKR22IzbS2BnC9T9KWigDy/TRfanqxvJ4dYtrCxvLv7PDbQnMrvLLudjn5cB9m3B5DZ7Y1/B9lf3eu32r3TXsFtbyTWtpbz9ZFL7mkYnuWAGOxX3rto4o4VKxRpGpZmIUYGWJJP1JJJ9zSqioMIoUZJwBjknJP51Nh3HUUUVQgooooA4Pxpp91b63ZatbyXskE8tvbXEMJJCqsoYOOwbdgAdyxPYZo3L6hpettew22sXNhfXNuJ4Z4fmiZXj2yA55zt27fdT616RJHHKoWRFdQwYBhkZByD9QQD+FDxpIoV0VgCGwwzyDkH8CAamxVxQcgEZ59RilooqiQooooAKKKKACiiigDmZNG1s+LLu/ttRht7SW2RMm3DMWDNxjPYfxd8gc44saPpWoWeualeXl1HMlwkShlhCFyoPPBJ6HGPat6ilYdwooopiCiiigDA1nS9VvNe0y6sbyOCCBZQ+6EOVYjAIyR15H/wCuoYdE1ZfF1pqdzfQXEMdpLCzC3CMMsh2/e74znttI710tFKw7hRRRTEFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQB//Z", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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CDyDT6x/Cd8mo+E9Kuo1Cq9sgwBgAgbT+orYrQgKKKKACkJwCcE+wpaKAPMJzrt/apYw6LH5El/fhJTeKHLGSYsNmMDByPvc4pvha38Qab4jnuTosbedbPGI/tihhslOSeCOpx17VqWfiPTbe+tLXzZZpodSv2mW3gebygZZtu7YDgnIwOuCDjHNO0vxfo8niGSKOW5keBLgTCOzmbyy025QwC5BI59sc4NRbUvoWNFv9fS4vyNBiZDO5AF6oYHe5Oflx1OOPT3qDS7nX5dEv7ZNCR0lmnVXW8UEbiRyCOuc1Z0TxVpRudSQNdtsuGDFLKZsEsxwcLwcEcH1+tXvB2pW+o6fd/Z/NIiu5QWeJkByxPBIGff0PWhAzJ1O416PRdPtZNESNIpYFd2u1OduMYAHUkCptbv8AX3uNPJ0GJUE6Eg3oLE70xj5cdeufWtHxjqUGnafaeeJsS3cQDRws4GGzzgHHt69qz9c8V6ULrTY2N4pe4XaXsplBIdTgZTk4BwB6UP1BHOeMrTXtU163uTpUMQhihj8v7UGYs1wu05xjBIA9utXbA69pscllJosbwJd2m6RbtQ6ENHgbcYOSOobuKm1vxbpX/CQR2zfa0aUWZjZ7OVQ5W53MoBXOQoJ6c9snipm8XaRca7e6aZpYLmW9tHhW4heLzgGi3bdwHT0ODxnGOaVtbhfQ7sHIBII9j2paKK0ICiiigArzH40eIbPT/D9tpEk5Se9mVmQIzZiU/MTgEV6dXN+LfCFv4qt4Q0/2a4hPyzCIPlT1B6HH40nsNbny9/ats0iMxfDXHmuPLb5cAEfrn86fb6tbxMXMjEjGDhw3TPB2nuTXtlz8HZBbTGHWRJJsO1Ps23ccdM7zjPTNcTpfhDxFf6Qbu2slliiMiO3mICChwRtJBz/n2rJo1TOJXV7VZWfDHLq3AYdBg/w1I+owxxK527Jcso2vzjjn34/WuwtPC3iS90xL+LTC9u6s4lDJjAyMkFsjkHIPIqnH4d1qWG2uhabXliklij6l0UruOO2Off5TSsFzlzq9odwaMsuTtAVwPY1NHrcEhW3VTh5Mcocckf1ANdbB4Y8S3Gli+XSpfJaPzVbbwUIBDdfQk/hUY8Oa/JYJdtpN15LRiXf5DY256/8AfPNFgucq+sW8RaAhwVcBiFJHBPt71E2sW8hUkED5VI2NjAGM9O2K61vDGvR2D3g0m6MHlmff5b425/w5p03hXxHDpb3zaVceSkRmdjkAIMknrzxg/j7U7Bc5GK/hcPMNqrHgt8jd+OOPc0g1S2EsbbuASThXPUEf3fpXTyeGNaigublrMmS3iSW4j34aJDuwSM56YOPcVcufBviW101799KdbdFVizzKpOcYwu7JOTjHXpxSsFzjptVtJI1KlUbDAhUc9hjqPbH4VGdWtlLNEXBSfzUXy275J7eu38q7PVfB+vafoK393bi3imaONA0o3sXz0UEnIxnHXH0OO6h+DJ8mMya2Uk2jcotyQpx0zvGafKFyx8F/EVpf6DcaPHM7z2cjOoZGA8on5eSP0r0+ua8H+D7fwnbXCpcG5nnYF5im35R0XGT6k9e9dLWqVkZPcKKKKYgpCAQQRkHqDS0jgsjBW2sRgNjOPegDibG20iKbT454bJXl1O/AV1QFwsk2Bz1wB+AFT2Ftoq64kLQ2GTFdOEKpyPPAzj6EfpWDp/hJp9Vi1Ge/W4uZr+8iUz2yyLEqyTZCqeBubLH6+wqfSvBoj1+ef7VbtPcCcsz2MbBVWUKFVTwBwT+JqPkWdDodlpE1zfwC2sZHjmdvLCISqmR8HHYVuWGnWumwGG1hSNSxY7VAJJJPOB71j+FfDK6AL+Zyj3N3cvIziIJhc4AGDwMAHHauiqkiWytfafbajCIrmJXAIIJUEjnPGR7Vha7ZaTHcWELW1kjPOjbDGgLASJk47iumrnPFfhhfEH9nzRssdzZ3KSq3lq25c4YHPVcEnHfFDQJmdrMGkf2qYEisfl+xPsVU4BugCce4BH0qSe10m4udQijgspDDfWa7VRDsBaIkY7Zz+tYuueER/bFvObmATQNbBSlmiKQ84UhlHBHQ89cCnXPhGWLWpdRttSFtcwXNtC3kWqIsqs8ZAZRxgHB+o7ZNSUejgBQAAABwAKWkGcDJBPfFLVkBRRRQAUUUUAFeXalqM3grxbfWcN9Dp9hqJF5G01q8y7z8rgBWGOnp0/CvUaY0MTzJM0SGWMFUcqNyg4yAe2cD8hSaGmeY6f4xj0+KaKDxPpMnmzvNiXTLkAM7bmxhsAZJPTuax7/xIdOk0ee01rSJ5bS6mKHypwEExYndnPyDOMDkYXrivZ3RZFKuoZT1BGRVebTbG4VVltIWCurjKDhlIIP5ilZjujzKw8X6rYWMVtb634RMUY+XzGuC2Dz6D19KH8W3tt4dOnJqfhuaGO1+zj/SJvMdQu3rsxux+GfSvTTplgxJNjbEnkkxLz+lMk0jTZYmjewtirAqQIgODRZiujzSLxdqFx4aXT21TwzCslp5G5pZ96ArtyRsxux26Z9aW/8AGGrX1jLbT634Q8mQYcIbnJXPI6d+lemJpWnxoqLY2wVRgDyl/wAKX+zLA/8ALjbf9+l/woswujySy8Rm9n1a5n1rSIZbq8iL77eYq6w7dhTHIU4789ehOa1L/wAYLqMUcNx4l0hFjmWUrFplywcqcgHJ5G4A/gK9Gg0uxtldYbSFQ7tIw2jlmOSfzqyiLGoVFCqOgAwKLMd0eaadfXHjHxbptvLfw39hp269lMdm0C+YMpHjcxLcknoO/WvTaiW2t0uZLlII1nkAV5QgDMB0BPU4qWmkJsKKKKYgooooAKR22IzbS2BnC9T9KWigDy/TRfanqxvJ4dYtrCxvLv7PDbQnMrvLLudjn5cB9m3B5DZ7Y1/B9lf3eu32r3TXsFtbyTWtpbz9ZFL7mkYnuWAGOxX3rto4o4VKxRpGpZmIUYGWJJP1JJJ9zSqioMIoUZJwBjknJP51Nh3HUUUVQgooooA4Pxpp91b63ZatbyXskE8tvbXEMJJCqsoYOOwbdgAdyxPYZo3L6hpettew22sXNhfXNuJ4Z4fmiZXj2yA55zt27fdT616RJHHKoWRFdQwYBhkZByD9QQD+FDxpIoV0VgCGwwzyDkH8CAamxVxQcgEZ59RilooqiQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//9k=", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 36.9, 0.0])</answer>", "action": "('rotate', [0.0, 36.9, 0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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", 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", 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", "info": {"env_feedback": "Stopped. Final angle error: 0.01 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "c06eeec0a2a6ea7e8104fb1d07460f159f3a94d64bc31de8e27efff170618b58"}
+{"episode": 50410, "episode_seed": 4090873865, "split": "train", "timestamp": "2025-10-24T09:35:28.324029", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4090873865, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -163.9])</answer>", "action": "('rotate', [0.0, 0.0, -163.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [43.7, 0.0, 0.0])</answer>", "action": "('rotate', [43.7, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -77.1, 0.0])</answer>", "action": "('rotate', [0.0, -77.1, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "b029a46dff117020d1cd248b2d178d7905e96c820d2093fab7c8dfb1bf9fc5f9"}
+{"episode": 50411, "episode_seed": 4259245270, "split": "train", "timestamp": "2025-10-24T09:35:29.432896", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4259245270, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -93.1])</answer>", "action": "('rotate', [0.0, 0.0, -93.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [70.6, 0.0, 0.0])</answer>", "action": "('rotate', [70.6, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 84.2, 0.0])</answer>", "action": "('rotate', [0.0, 84.2, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "7a39a17df770f42e2d1d07123c6efb0e040d43771ed8725a08f3a8e052fd4964"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 128.8])</answer>", "action": "('rotate', [0.0, 0.0, 128.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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v/wB8mpRbS45ic/8AATXeUU+UXMcVYvcWc4kSOTHcbTzXWwyCaFXAIyOhFWKKpKxLdyLFOQYzT6KYgooooAKKKKACiiigAooooAKhkto3JYDax7r3+tTUUAZdzazKMhN49V6/lSWKMbgBh93JOa1aTA3bsDPTNAC0UUUAFFFFAH//2Q==", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [49.2, 0.0, 0.0])</answer>", "action": "('rotate', [49.2, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 150.5, 0.0])</answer>", "action": "('rotate', [0.0, 150.5, 0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "b2dd264bfa8a1cfce81f3615896750f5c2181554df7e31cf8c8fd842b4916619"}
+{"episode": 50413, "episode_seed": 2771322619, "split": "train", "timestamp": "2025-10-24T09:35:35.303210", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2771322619, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 81.6])</answer>", "action": "('rotate', [0.0, 0.0, 81.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [38.4, 0.0, 0.0])</answer>", "action": "('rotate', [38.4, 0.0, 0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -24.2, 0.0])</answer>", "action": "('rotate', [0.0, -24.2, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.01 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "f2386642467f2259031a1afaee48772b22c1d170e3a1ea319a3dfdae5c51cf4e"}
+{"episode": 50414, "episode_seed": 216922828, "split": "train", "timestamp": "2025-10-24T09:35:36.371260", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 216922828, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -80.9])</answer>", "action": "('rotate', [0.0, 0.0, -80.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-23.7, 0.0, 0.0])</answer>", "action": "('rotate', [-23.7, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 114.4, 0.0])</answer>", "action": "('rotate', [0.0, 114.4, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.07 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "d1775b0ec4d3f1b74d2bf31339da9108352f6d11859c983dfd30e3f6830f9da1"}
+{"episode": 50415, "episode_seed": 3626387836, "split": "train", "timestamp": "2025-10-24T09:35:41.902554", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3626387836, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, 69.6])</answer>", "action": "('rotate', [0.0, 0.0, 69.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [59.0, 0.0, 0.0])</answer>", "action": "('rotate', [59.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -39.2, 0.0])</answer>", "action": "('rotate', [0.0, -39.2, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "6d3c0fee09da460f2b0555987cddfe135760b389e76cf5d81d978c2ce1f748bd"}
+{"episode": 50416, "episode_seed": 3122143727, "split": "train", "timestamp": "2025-10-24T09:36:35.505726", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3122143727, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -121.4])</answer>", "action": "('rotate', [0.0, 0.0, -121.4])", "reward": 0.0, "image": 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RbXZI8RUi/dgwNxAMg498fjntXFad4vtvDWs2z6J/Z8rNo8cV19qnZAJlkfcuT/FyP51reMbXxTp2gtaXUuj2NvbKrWUkV3KPLUyRgIpKDOwqODjCsMZ215yumah/bE1svijRxLFaSM1yLsiJlViPKViBuZjhgB2OfWtY01LXmtql/wAEmDlytcvMrN7+mmzPT0+LmqPGrbPDq7gDhr5gR9eKpah8VdS1DSNQtni0JVkikhIW9bcwKkZXIwevFcZFpepqqsPGukJGJIYD/pvzDeoOQOpRS6gnt856Ka5oXUsMN0P7Rypd/kRf9bjjOPcHjPv71q6Ksv3i18v67mEpqClP6vfla2fn6Hb+H/iHqnhWxQHT7a58q2jWIySMPLjYKcAAYyxwSe+AP4eOa1e+F5ZalPJCqXU2qtKdrsQoKtkAYwcE9Tz+tZkyb9KtbmW8ied4yGhXGYwHYAHnjgA/RhXXal8PJ9M8G/8ACSf2usqmTYIljxk7ymd2enGelcVSKUnC90j16NRK0+TllJrTXfWy2OY1yK1k1vU2tvLigiAMMce9lIyqhQWCnGDnJAzjoM1JLLpQ8FW8Ucsp1Vr5mkj3tsWIIADj7uST16/L276eleGFuNP8XSXk8yXGjx/dUAb23MpDZGR09qztZ0u4t49SlMjNa2momyRmXlyN/OR3AUZ/3hUcsbN319P+CbKrUc4wSVk1d38vTXV9/M+uKKKK9A+OCiiigApk00dvBJPM4SKNS7ux4VQMkmn1heIrhJpLLRfMCG+lHnEnH7hSC4P+/wAR/wDAz6Um7IuEeaVjgvFMfiDR7Cfxta321bqSGS50y5OFVFdfJ28jDgBdw7kt9KbJE+r6VpyWDW4ilkRLq2idxO2yaNS0khA8uZZHDHCZ5PzYGTt6xYnW/H+m6BBMzaXpu3UbuE8qj9I4/oeu30JxxgDP8frcRard3PhtYYb+GOBb7auftcksirBGR3cctn02g8Hjna3fQ9inNPkjpff0WyT/AM/T1OB1mGWbWLpNRmmuESWa2guRDte6u2A++SCqumUTjH3flzg1t+CrC5j1FrS8d0e2Rb+yQqA91khYWA5woLMxHOGfd3JqppbS+LZdC8NmJGaKZ21WEoyMCrEuZG3HcSTIQwAwZAByK7G9b+1vEbaNeXr2UeiQPJDqA+WSKdlGwMeh2x5bg4cEZ5BohFfELE1m70r20ttt0uvW+3bbY47xRqlvd6sqSnfpyqQ7KxTzreByQdwyw82UyDp1EZz1r17wPoraD4QsLKVt9wU82d+7O3Jz9MgfhXkHgnRL+88UJpWpWxhmJhnnicsQtpFtdUwScqzGID02nNfQFXSu7ze7OfHOMOXDw+GKCiiitjzQooooA+V/Dd7BH4buLH7SYbq41K1KJ5IbzMEnO7r8vORyPnHrmu+8H298brxWiX6q6WsokcwA+Z+/uMnGeDnJ/GvNNEjup9KluEj3w6TcJcqigbpJJHjQJ68hD07gV6j4Duo7pvFl4uUilspJRvGCAZrk8+lcFPdH1eMVoya/rVfoS/BuGeXw21ut7eWBkd5ozEsBWdQdrEboy2VO0HJ/iXHWup+FoI8LXIJJI1G55Pf568y8JeKbux8J6RY2ukSSXEF68lvdLeRxhm5Zo2DchSoIOcZ7cgVu+CPGOr6V4SubmHwpc3VmLqaaS4FyiBCWyVwRk49a0pySsceMoTm6jXVrqvM9mridWjuJfippa21wIJP7KnO9o94x5icYyKP+Eu8Vf9CBef8AgdFWLoPiO58RfFKyludJk04ppM2xXmEnmKZQNwwOmVI/CtpSTsjz6VCcOaTton1T/Uj1nTdYm8Saq8etSK8U9g7pDaRnfjcVKhg3zLgkDOCeDV2ax1UeL/C07eJn1BbiO5eCSW0iUIPKByAgXOQe9Xrm7trfxnqwnuIoj52nth3C8fPzz2rF8Ta/YeF/EmhXETC8soHu5UW3lj+TemWTqAADkjJ6HA+7UOyuzpi5ztFLo+i7egvxbjuF8HPBeXkV3J5scqRrbbTGA4UyE7uB8+3/AIHXn3h3wJbazqsNtJdtGJdHl1DKxAgMLhowuPTAzmul8Y+Jn1HwxrH2rSp4bq+8kK7TwssMUcyFVwrlupJPHVvQVm+FtfbTtdt3GnTzlNAltgqyxKWzcs+/5mHHOMfe9sVHtXGr7r0JjSk17OS+y+3eJt2HwSgutOtrhtaCmWJXI+xjjIB/vV5j/ZIW3v5VZD9mvGgwYgcgZ59ug/OvcNL+IipY21quhXjvFbRE/wCk24ypGAeZO+08da8ajuC9hqpI2tLfOSm8HHft1/D3qsTi60YJwm7nBicKqeFrTcEnpbRfzepT1nTDZ6Vp9yJywuLVJRHtwE3FsgflXpWuWF1B8FI3mv7jifDWwEZjU+e3Q7A36151rt59p0rTIlG1Lexij6g+YcFiR3GN2Pqa9O8V6jZP8G2jS7geT7UTsWQFv9e3bNY8znKcpPWx9BGCpyhCKslJfkzmYZZL9PiTc214TFtG52jUmZQ7DOVwATjOQO9ZHiPzP+EV1FGuVdo/EcwljEIXLFDh93ocEbecY61saTZpp+j/ABCs0dH8mygRnR9wZh94575OTmuV8V2k1tc3t0HP2e91S6UrnjfE556+kvp+NKW33nRRSdRpeX5I+sKKKK9A+QCiiigArkYda0vz9U1bVFENvNGUt3mXMc9vFuOV7ElmkOOpXacYGaueNdWbSvDdwIS32y6VoLdUGW3FSSwGD91QzdO1eW33iyTXtMsvCdxIqWLyR+dcwJhvsyEArsXg/wAOGUDO0/IorGdRJ26nbhaSqO19/vt1a79jtPA+mLpnhDU9f1zcsuqI11dZkZjHbqp2KDnOApJHPf2rxu68UapeyyyJJcrC1yJjJ5zGRJNjJES4PLqoJ7MdnsMepfFHxTYf8IvZ6Vpl3btDqO1jLE4KJbqwHY9C2Bgdgw7V5h4o0mLSI7TS3tbePUEYtPdIxypcBgj9vkXGTzn5vTJidNuPu9P6/M6aT5qvtZ6Se3b0a7JL/LXff8G6elpYDxOl1JBL50yxNG29sIgKqRkli5yu08cCu00y3i1i0Xw9enGq6hdvqGphOGEJGQ6EcqrYiXHUBiD7+TeGLCXUdf0vTYrp7WW6kV5I3yiMAu5D757HGRkdetehR/ZLR5J9O05ba/uIJrbTbcyEuu54EV1c8sCxnfdn5lyD0IpxvH3WrdArL2j9pJ62bXbrbX738ujR3Hg2Oa+udS1q6l+0F5TZ2lwQAWt4iQDx/efeffjpXW1U0vTrfSNKtdOtV2wW8YjT3x3PuetW66Dym7u4UUUUCCiiigD5h8OT6nB4Cv1sdIE0MupW/m3pnUBGVlKJ5ZIJyT146/lUW2lubbxVNe2E889rNGN6yqiWzNcfMCm/BBJYADcAST70eGNd+weH9S06fPkz3FtcR7UyS0cqbgMc8qw/L89DTbp5tP8AG0E8Rj1G9ubfZaJl3ZxcF3VQOTgBvyrzd0v67n2jvGcnbqvzj/XY2vCF1fQ+G/DQsdAkuphf3Xky7otsrmGQAYLZ+XO47sDC9a1vDuoalb/C3VrX+xL24Qy3Ilu/OhAU7ucguGJHsPpVX4enUIrLwfKLWSW2F7deSscijeximDZBI5AAx9G9a6ePT9W8PfDnWrK80x2aRricvHNGQqu2R1IPAraCdr+X6Hm4iUedxsviXXzfn0Or/t/W/wDoT9S/8CrX/wCO15r4f1LUI/iFpk0ehXUsy6I6CBZoQzL9oclwS4GM5GCQeOmK9S/tfU/+hbvv+/8Ab/8AxyvMvDt7dp8RdMkTSriSRdEkQRCSMFh9of5gS2MZ45IPHStZ7rU4sOvcn7q2fX/gmtNqOoTeKtSkl8K3TuZ7ImNprclMBsDO/Hzex7c4rM8TXF3qXjjwxJP4YnW2iuJViszJb/v5FGWOQ+OCF4JxweuSK6G4OvXGtazcWOiTC4Z7UoJJ4cRtGrH5vn5+8Dx+lVfE1rrt/rfhldL0i6tptNM1wvmzQEuoCKR989SwBz2Ympa0NackpLZaPrtp6mf8Sr69l8NXKS+F7iwQwjMry25A/fwc4Ryfb/gXpnGB4QurlNctmTQZrpv+EdlTyxJCCy/amPmfMwGAflx97jpiul+IOrXms+A7m8/sa5trcIIZHkliPlv9phBUgNnho2U8dawvBd3dReILUxabPMR4bmQKskYyv2tzv5YcZ4x19qyl/F+X6kUtLrlV+V9fNeZ2Gi396l3iPwfdSgabaKFEtqOAZcPzJ/F+fy89q8Y+0XAsNXP2J8PqDbzvXCE5O3ryeOo4r3nRLrVYvKvB4fvGil0+2hXE8AOU3kn/AFnQ7x+teQ3mhavp+jau11p8iRy6ocyq6MiHB+ViDxywGcY96jFJ+z0ObGTSwla6X2er/m169DnNa88aVpxe2kjjeziILMhDYyAwwc4IHfkY962/Fej2lr4P065h8NzWEst3Ir3jTo4kwX+QKHJGMeg+7UXjbTtQ0ix0zTtSszbzwWUaH94rhsF+RtJ9+uK7Pxhpet6n4V0HRY9HlS6e8lljzNERJlJZMDDddueuOlJR1ke7GqlOLurN9+ln5nJ6VdNHo/jUWGjyLaXFnA2FkQC3Q8hiC2TnOcDJ9ap+JrnU5vDlyk+liGyGvXLrcGZSwlYfNEVBPTGd3StLw5btZaD8QrSSOWF47VFWKcEOqh2ABB56YrG8X6tvim0dGP7rV7y5kHbLMFXv1+Vu3f3pv4Tamr1nZdV+R9UUUUV6J8cFFFUda1BtK0S91BIJLh7eFpFijUkuQOBxQNJt2R5542Ww8Xanc2C/armfTiY7aK2j3DzcbpC78CMf6tQSwwc8EV5rcaLqWlWdpqkdncvCWwrGPeYyQCgyPvZVgc4XPpXoGlajoV/plvpWjatcWN5dusWoxXZG1yUy8jqTjc+Nv7tgSXGelM8cXGtQyXNnNZWT2s8nlpIk+VE7xKg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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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gbmY4YAdjn1rWNNS15rapf8EmDlytcvMrN7+mmzPT0+LmqPGrbPDq7gDhr5gR9eKpah8VdS1DSNQtni0JVkikhIW9bcwKkZXIwevFcZFpepqqsPGukJGJIYD/AKb8w3qDkDqUUuoJ7fOeimuaF1LDDdD+0cqXf5EX/W44zj3B4z7+9auirL94tfL+u5hKagpT+r35Wtn5+h2/h/4h6p4VsUB0+2ufKto1iMkjDy42CnAAGMscEnvgD+HjmtXvheWWpTyQql1NqrSna7EKCrZAGMHBPU8/rWZMm/SrW5lvInneMhoVxmMB2AB544AP0YV12pfDyfTPBv8Awkn9rrKpk2CJY8ZO8pndnpxnpXFUilJwvdI9ejUStPk5ZSa0131stjmNcitZNb1Nrby4oIgDDHHvZSMqoUFgpxg5yQM46DNSSy6UPBVvFHLKdVa+ZpI97bFiCAA4+7kk9evy9u+npXhhbjT/ABdJeTzJcaPH91QBvbcykNkZHT2rO1nS7i3j1KUyM1raaibJGZeXI385HcBRn/eFRyxs3fX0/wCCbKrUc4wSVk1d38vTXV9/M+uKKKK9A+OCmTTR28Ek8zhIo1Lu7HhVAySafXg/xg8fi/mfw1pU4NrG2L2Rf43B+4D6A9ff6cxOagrs6sLhpYiooR+fkcp8RvHEvjLW8wNIml2xK20TcZ9XI9T+g/Gsk3NrBpi6faS7o5Nst5MSVEz4yIwCAdi+/VufTGPbwmeUIM474qxL5YOFQCNDgDHLt6Z9K8qdRtvuz6HEShBLC0rrTW3T/gvp85PRCqst4Xit0yGBfZuHyKoySfStC4jsI7COJ5PLuJ3WKCBRvZ8Z3Suc/LlsAD047ZOl4O8Pw6vqqxXzytAGBuIYpEV5RkERKCwJJbGQOmOOleiaR4J01PGP/CQzWv2SwQkApIhjjZjgBSpJAwRhuMAgjG4be/B+xaftb6J2t+Xpdnk5hN0pLC0dOr7pqzTv1elu733bPO9AEFwsr6g6hYCzJbiLdG8uAVUqMYDgHAHBYDPUCt6IJH4nt7WPH9nSyC5jiWJSch3ZY2A7ZUvtzngjnIqHxnoS6Hq0GvQaaU0W+ZjHbsfn8sYzn+4T95ecgEdwQKWkzPq1rNaT3MVus0n2ua+PDyyKrkbCVGMkY9ihIJOa0py5Xyfd/l/XqcuJh9Zh9aejS5Zrs/5ktdVuurTteydt/wAUaraRadeWQiE+2BftJlkysb5AQjJ+aRQ23HOVwSRil+EnjRtNvV0m+ci2uSAvHCuSFD59OMH8DXnt5q0N68Fu8CRWFrkiKDI81uAWOT1OBz1A9cVHf65cX2pRXRBVYI1hhQnO2JfuoT3wOKTxKc+ZvTa39djWnks44dUoR9/4uZ97WS/7eW+llpu0z7Borhfhl4vj8RaIlpNIDeWyAAd2jAABPuDwfwPeu6rdqx5kJcyvaz6rs1uvkFFFFIs+V/Dd7BH4buLH7SYbq41K1KJ5IbzMEnO7r8vORyPnHrmu+8H298brxWiX6q6WsokcwA+Z+/uMnGeDnJ/GvNNEjup9KluEj3w6TcJcqigbpJJHjQJ68hD07gV6j4Duo7pvFl4uUilspJRvGCAZrk8+lcFPdH1eMVoya/rVfoS/BuGeXw21ut7eWBkd5ozEsBWdQdrEboy2VO0HJ/iXHWup+FoI8LXIJJI1G55Pf568y8JeKbux8J6RY2ukSSXEF68lvdLeRxhm5Zo2DchSoIOcZ7cgVu+CPGOr6V4SubmHwpc3VmLqaaS4FyiBCWyVwRk49a0pySsceMoTm6jXVrqvM9mridWjuJfippa21wIJP7KnO9o94x5icYyKP+Eu8Vf9CBef+B0VYug+I7nxF8UrKW50mTTimkzbFeYSeYplA3DA6ZUj8K2lJOyPPpUJw5pO2ifVP9SPWdN1ibxJqrx61IrxT2DukNpGd+NxUqGDfMuCQM4J4NXZrHVR4v8AC07eJn1BbiO5eCSW0iUIPKByAgXOQe9Xrm7trfxnqwnuIoj52nth3C8fPzz2rF8Ta/YeF/EmhXETC8soHu5UW3lj+TemWTqAADkjJ6HA+7UOyuzpi5ztFLo+i7egvxbjuF8HPBeXkV3J5scqRrbbTGA4UyE7uB8+3/gdefeHfAltrOqw20l20Yl0eXUMrECAwuGjC49MDOa6Xxj4mfUfDGsfatKnhur7yQrtPCywxRzIVXCuW6kk8dW9BWb4W19tO123cadPOU0CW2CrLEpbNyz7/mYcc4x972xUe1cavuvQmNKTXs5L7L7d4m3YfBKC6062uG1oKZYlcj7GOMgH+9XmP9khbe/lVkP2a8aDBiByBnn26D869w0v4iKljbWq6FeO8VtET/pNuMqRgHmTvtPHWvGo7gvYaqSNrS3zkpvBx37dfw96rE4utGCcJu5wYnCqnha03BJ6W0X83qU9Z0w2elafcicsLi1SUR7cBNxbIH5V6VrlhdQfBSN5r+44nw1sBGY1Pnt0OwN+teda7efadK0yJRtS3sYo+oPmHBYkdxjdj6mvTvFeo2T/AAbaNLuB5PtROxZAW/17ds1jzOcpyk9bH0EYKnKEIqyUl+TOZhlkv0+JNzbXhMW0bnaNSZlDsM5XABOM5A71keI/M/4RXUUa5V2j8RzCWMQhcsUOH3ehwRt5xjrWxpNmmn6P8QrNHR/JsoEZ0fcGYfeOe+Tk5rlfFdpNbXN7dBz9nvdUulK543xOeevpL6fjSlt950UUnUaXl+SPrCiiivQPkDzf4reP/wDhGtN/svTZh/at0pBZW+a3T+9/vHt+favnMB5ZMcs7Hqe5r3nxz4P0Kx8a2fiPWYGm0W+cwX2ZXHkylTskypztOADzgfpWnd+CtBm8bwaVZadb2ccGlTXBkhTDCSR1RGz1JXaxGT9O9cVWE5tn0FDE08Nh/wB1G8mm79Lrp8nb8zw19A1OLTGvorC6FpGuZboxFUAOP4jxzkYGe49a3NA8B6xrGnnVIYWih2MbbfGwyBn5skBMdeS3H0r0KFbj4m6nBoxIi8N6KQl7JAdovJl4AX0TjI9AT32466U6hL5PhzZjyFVDOyArPGAMOR02j+Id2AUfKTjKNFJX3/zOCpjquGpx61HvdX36Pz1+S06nKeH9L+2wDS7GO7s7cBY4ZTGm8bdzF5MEgtl8EZ+6QvBfI63TVg12M6dHB5Wn2Evl30bbSZblcExnHBUZDMcYOVHZhSa1Y3uj2pj0QBDqUqQT3OMyROxOZi3cn7ozwGZT0zVS8SD4f6TaahGVdwgt57YSEfaXbGGBb+JcE5PUMxPOK6YxVNa/M5IKNKk5ylq9b/n/AJLz+RN8Q7m1udIOhMqPc3a+ZufO23jU5aZiOgGMe+cc182Xk1wFSxjn320Rd4woxtDY3DPXb8oODx37nPbeNfE91F59nHex3F9dtvvbqCQMpI+7Cnoi/q3OeBXH2+laqmlDV/7MumsGbYLoxnY3JGM9MZGM+oxXP7Tnn72i/L+uv/AOvLqOIpQljO60i9L9m+3X/hjf8J+Drm7sbjxHc2UdzpOnL508TOU+0IvLqp9QuT26Ad+MLxRdaPea9cS6BYGz00HbEhZmLf7R3E4z6dhip5fFOtx+Fz4eW5ZdIeTzFiAGQM7iuR/Dk5x610Hwv8BSeKtWF/exEaRaODJuXid/+eY9vX24705Qafs0tf6/A+hhXXK8TUenRJ/g+nNfTyO1+C3g+7tLf/hI71njjnUi1gxjKngyH2OOB36+lew01ESONURQqKAFVRgADsKdXdFcsUj5KvU9rVlUta7uFFFFUZHzD4cn1ODwFfrY6QJoZdSt/NvTOoCMrKUTyyQTknrx1/KottLc23iqa9sJ557WaMb1lVEtma4+YFN+CCSwAG4Akn3o8Ma79g8P6lp0+fJnuLa4j2pklo5U3AY55Vh+X56Gm3Tzaf42gniMeo3tzb7LRMu7OLgu6qBycAN+Vebul/Xc+0d4zk7dV+cf67G14Qur6Hw34aFjoEl1ML+68mXdFtlcwyADBbPy53HdgYXrWt4d1DUrf4W6ta/2Je3CGW5Et350ICndzkFwxI9h9Kq/D06hFZeD5RayS2wvbryVjkUb2MUwbIJHIAGPo3rXTx6fq3h74c61ZXmmOzSNcTl45oyFV2yOpB4FbQTtfy/Q83ESjzuNl8S6+b8+h1f9v63/ANCfqX/gVa//AB2vNfD+pahH8QtMmj0K6lmXRHQQLNCGZftDkuCXAxnIwSDx0xXqX9r6n/0Ld9/3/t//AI5XmXh29u0+IumSJpVxJIuiSIIhJGCw+0P8wJbGM8ckHjpWs91qcWHXuT91bPr/AME1ptR1CbxVqUkvhW6dzPZExtNbkpgNgZ34+b2PbnFZnia4u9S8ceGJJ/DE620VxKsVmZLf9/IoyxyHxwQvBOOD1yRXQ3B1641rWbix0SYXDPalBJPDiNo1Y/N8/P3geP0qr4mtddv9b8MrpekXVtNppmuF82aAl1ARSPvnqWAOezE1LWhrTklJbLR9dtPUz/iVfXsvhq5SXwvcWCGEZleW3IH7+DnCOT7f8C9M4wPCF1cprlsyaDNdN/wjsqeWJIQWX7Ux8z5mAwD8uPvcdMV0vxB1a81nwHc3n9jXNtbhBDI8ksR8t/tMIKkBs8NGynjrWF4Lu7qLxBamLTZ5iPDcyBVkjGV+1ud/LDjPGOvtWUv4vy/Uilpdcqvyvr5rzOw0W/vUu8R+D7qUDTbRQoltRwDLh+ZP4vz+XntXjH2i4Fhq5+xPh9Qbed64QnJ29eTx1HFe86JdarF5V4PD940Uun20K4ngBym8k/6zod4/WvIbzQtX0/RtXa60+RI5dUOZVdGRDg/KxB45YDOMe9Rik/Z6HNjJpYStdL7PV/za9ehzmteeNK04vbSRxvZxEFmQhsZAYYOcEDvyMe9bfivR7S18H6dcw+G5rCWW7kV7xp0cSYL/ACBQ5Ixj0H3ai8badqGkWOmadqVmbeeCyjQ/vFcNgvyNpPv1xXZ+MNL1vU/Cug6LHo8qXT3ksseZoiJMpLJgYbrtz1x0pKOsj3Y1Upxd1Zvv0s/M5PSrpo9H8aiw0eRbS4s4GwsiAW6HkMQWyc5zgZPrVPxNc6nN4cuUn0sQ2Q165dbgzKWErD5oioJ6Yzu6VpeHLdrLQfiFaSRywvHaoqxTgh1UOwAIPPTFY3i/Vt8U2jox/daveXMg7ZZgq9+vyt27+9N/CbU1es7LqvyPqiiiivRPjirqWn22raZc6fdpvt7mNopB3wRjj0Poa8W+yeKLbxDe+DIZpPt18I4l1Fzkpp0e7DZz1O4g+4I7gj3Oua8XaPc3UFvrGlDbrGmN50O0c3CAEtAT/dfp9cVnUjfU7cJX9m3F7Pv0fR/5/wDAKz6Da+D7KyvdEtSI7KMQ3MarueeAsCzHHV1OXz/vDvXVW88V1bRXEDiSGVA6OOjKRkH8qpaHrFtr2j2+o2xwsqjfGT80T/xI3owPBrN0wDw9q50Z2C2F2Wk07LE7CAN8PPTuy+xI7UlaLutn/X4nn1OaFRuXV6+v/B/OxtahJaRadcPfOqWgjbzWdsALjnmvDPF/i3ULUpcXDOs8tuyaeshO+CE4AlPP+sdcgnggc45Fd3rmpnxJqosY03aTbSkHeuY7qZeSWP8Azxj6se5wO4rxzxt4jg1vVYYLY7tPsS/lTsmGuXYjfMw6YJUYHoAOO3JXnz7bL8f6/rodGAwzx1fl+xHV+b/r9X2KXhPw7L4r8SQ2fmiISuWlKjlBnJ2j16n8K6Hxz41nvtMt/C1hEIrbTV8m5a3/ANXM0fy7lA/g4yPrXKWOt3Gji8ktGMc1zHsVgMMnUEg9eQSP+Be1ULG2udTu4dPtIPMurmUIpUnc5OODzjGeelYRldWR9JGl9ZrOpUVqcbWXmlr5WX3XStojT8J+HNQ8X6zBpNpxGD5k0hHyxJ3Y/wAgPU19U6Po9loOlQabp8IitoFwq9SfUk9yTzWP4G8HWvgzQVs4yJLuXD3U4z+8f2/2R0H59TXTV6VODSvLc8bHYqNWfLTVopt+re7+YUUUVqeeFFFFAHyv4ehS7s7XTruSPTRb3xvPt88LyFQVUbFRRzkqCeQOBXpOg6l4T8O65qj2uoSSJd6fGJLqSGQtPcF5S5xt+XIKcDA6V6/RWEaXL1PVrZgqt7xaT8/Ty8jw7wV4h0zTNC8JQXtw0UtlfXMtwphc+WrRTKpOB3LL09a7TxL478N33hnUbW21EyTSwMqIIJOTjp92u9oqlBpWuYVMTTnU9o4u977+d+xy/wDwsXwp/wBBX/yXl/8Aia870DxJpVp4807UJ7lktItGeB5DC/EhndguMZztINe2UU3FvqTTr04JpReum/8AwDh7Lx74Zj1TU5X1IhJZIyh+zy/NiMA/w+tE3j3wy3iGyuBqRMSWk6M32eXhmeEgfd7hW/Ku4op2l3I9pSvflf3/APAPGvHXifSLvRNbsNKumuI9SENwqLDINkySxh+qjhkAb6o5PLVmeENe07T9btZ7ud4ok8Py2jMYX4lN0zhen90g56V7xRWbpNy5rmixFNfZe1t/Ty8kcbpnj/wxb6VZwy6ntkjgRGHkSnBCgH+GqGl+M/C32fVYL69Vobq8mbY9tIQ8bYHI29Dg16DRWnKzJzpNNcr18/8AgHzP8QLiK61BLfTb2XUbCKELbuYnDRLuYiMlh82N3B9MV6jfeNfD8upeGJUvyyWc7tOfIk+QG3kQH7vPzMBx616PRWcaPLez3NFXpqEYKLsvPyt2PnLVbnR9Q1Pxxeu0xludp02RElUyHJDDgcqR1DcdPQVi+JbaCBL6C1nOpzXl8Lr7ZFEyAoA/ylCAVbLk8ZB/Cvqeik6F+p2QzPkatHt17L0Ciiiug8cKKKKAOGuS3gnxh9rBYaDrk4WdFHFveMQBIT2V8YPvzXU61pMOt6VNYTO8YfBWWM4aNgchgf8APcU/V9Js9d0m40y/i8y1uF2uucHrkEH1BAI+leYt4r8QaVpjeBUhafxSjraW1xECENuUBWcse4GQfQjJ6GspWV09mdfsvrUbdVo/Tv8ALr8mZUcGqeKbyfwVY20Wni3Ai1O8jbcsUSE7YkGeQTyecsxJOMGvNdahi0zxHqNlBKGtrW4eFZAvXaTwPQEg/wCNe1h9E+GWm2kkWrW0t4pZNSjDqZrxjn59pbOUbOOehIzk14DeXJuJWO4sNxYserMerH6muCpFJKD3O/AUFO+HjF8iVrvr3l2beyXRfjHO5lbzWcFm6qM5X86+hPhN4APh2x/trUo8andJhIzg+RGef++j39Bx61yPwh+Hx1K5TxHq0ANjEc2kTjiZwfvkf3Rj8T9Ofe66aFK3vM0zHFRhH6tR0S0f+X+YUUUV1nghRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXEfEnwifEOlR31pA82o2OSkKPs+0xEjzIiRzyAce/wBa7eilKKkrM0pVJUpqcd0ePeLrTwhY/CeXVfD2mWaLfCOGCcxbpBlsMNzZIOFYHnqK87+HfgibxlrgWVZE0y3Ia5lA6+iA+p/Qc16B8QPAusXes2mmaNu/sbU7wTvEE/d2cwUhm46BgWb69Oten+G/D1l4X0K30qxX93EMs5HzSOerH3P6DA6Cub2fNPVaI9r64qGH9yV5Su/NLz8/+HNG2toLO2itraJIYIlCRxoMKoHQAVLRRXUeDuFFFFABRRRQAUUUUAf/2Q==", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, 0.0, 0.0])</answer>", "action": "('rotate', [0.7, 0.0, 0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", 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HHAX6E9a7z/hQug/9BXUvzT/4ms+1+Glronj2z0vT9Y1CEXFjJO8w2FvkkTAHy4xnB/CrcJaXRhTxVH3uWbb1ez/zHWPh42niHVbNdGhdYbiyUI+pyMV3KSF3FckH/wAd7CovFenW+l+NPDcsujxxmSSTzrWG7eVXTbxIzbQV2/Me/C8dK6OCL+wdb1yS91C4vfLnsZZJ5lXeww/GFAHQAAYzSeI7TV5fEnhK5tUtv7Vknurjy7tmVFHljCEqCflXjgckE96rl0/ruYKs+dNvSz7/AMomtaHB5lg8ei2uyR4ipF+7BgbiAZBx74/HPauK07xfbeGtZtn0T+z5WbR44rr7VOyATLI+5cn+LkfzrW8Y2vinTtBa0updHsbe2VWspIruUeWpkjARSUGdhUcHGFYYztrzldM1D+2JrZfFGjiWK0kZrkXZETKrEeUrEDczHDADsc+taxpqWvNbVL/gkwcuVrl5lZvf002Z6enxc1R41bZ4dXcAcNfMCPrxVLUPirqWoaRqFs8WhKskUkJC3rbmBUjK5GD14rjItL1NVVh410hIxJDAf9N+Yb1ByB1KKXUE9vnPRTXNC6lhhuh/aOVLv8iL/rccZx7g8Z9/etXRVl+8Wvl/XcwlNQUp/V78rWz8/Q7fw/8AEPVPCtigOn21z5VtGsRkkYeXGwU4AAxljgk98Afw8c1q98Lyy1KeSFUuptVaU7XYhQVbIAxg4J6nn9azJk36Va3Mt5E87xkNCuMxgOwAPPHAB+jCuu1L4eT6Z4N/4ST+11lUybBEseMneUzuz04z0riqRSk4XukevRqJWnycspNaa762WxzGuRWsmt6m1t5cUEQBhjj3spGVUKCwU4wc5IGcdBmpJZdKHgq3ijllOqtfM0ke9tixBAAcfdySevX5e3fT0rwwtxp/i6S8nmS40eP7qgDe25lIbIyOntWdrOl3FvHqUpkZrW01E2SMy8uRv5yO4CjP+8KjljZu+vp/wTZVajnGCSsmru/l6a6vv5n1bqmoQ6TpN5qM+fKtYXmcDqQoJwPfivCPBt9Y6jca74n1XXLHT9enmD2Ek0q7oiMlhtJ+4wIT/dzXY/GvVLyPQbXRrJc/bXL3BDAHYmMD8Sf/AB2vOt2n3ng+a1u3isjaxFLWytbDdPdSdRJLOVIA3EkqCOBj0rpqRm5aLRHhYOrh4U2pVEpSdnqrpej7/kZOpasl/wCLtR8TWM8Ni1vMt3bxSEOzS7gdqgDB+bLHt15Oee+tPF/im6kuFPj7w5CsUmxXlRAJRtB3KNucc45xyDXk0FpjcZRcQkRn5tv8XPHJHG3P4/WtrSfDk9/YSzQ61DCscsMUcTzbC/mS+WXAzkKDzkgH2Fcqck9v0PdqQoVIr3k0tFs/8z0KPxZ4oku54f8AhYPhpViC4lZVCuTnIX5OccZPv7GmP4w8UJczxHx/4cKRQrL5ixqQ+S3yr8nLDb09x61yekeDDq0yvD4k8uznvZraO4dGAcRxhjIfm4Ukqoyc8j1xVa48IXcWn3Woyaq4sfszywyujDz8MQi4zxuXLDPYj1q+adv+CYewoXtdf+Ar/I7vw7q3hjU/Dul2evarZrJLb3s9yTKEaGeSdGRl/uuBuIx6e9ZOq+JE17xXoOnXfiM2MljHPDca1ZThElUrlHBDcFtoDKehPFTaJK1ppEl3cw+GxFpmnQLm40x5HlaRnAXG8bnJjHzehHA5rK123ufC/jrSdS12PSo5Lm3M8luliXt4AVZAnlhhuwe+epzk4ptuyIhTj7SVt9bbb67advlt1LvidxpthbvovxP1C/uZbhYmR9SYKiFWJYkNwMgD8a5lL3x/cXEkVhq2v6gEYr5tjdTTxsQFJwykg43Ln0yPWrWu+OIbu5tjbaboZjtbkTI0GnNB5u0DiQFzlCSRjPbtmtrw547t7LxFql6mp6PpkU6oUDaVMYySiBgqRtleUGck5PPel7snvb+vUadanF/u77bpdfSPT0OcNx8ShFJKZvFgjjzvctc4XHXJ7Y71jajB4jNtBNqcOqGCZSYHukkKspIclC3qSG465z3r0af4kef4QuYTrGkCe63vLZf2bcB8u5LDzNxToT68cdeaxvEHjOHW9GsLae+sm+yWuIo4bSZGRiyLsLMxBO1c7sY6jqeK9nBytzf1oclTG4ymnKGHTaXZ99vh7HIiDXrRLfUpIb23gaTy4ruWNlj3by2N5GCQwJ9QRntWikus+IrQpd+IbPystN5d7dqnzOx3HB75XPtketaut+JbbVvCNtorapZCKzgE0SJZTKzSnaSm4sRu+aQZwF9OoxT8Gmc2Orm0OnSzJGuLS9jU+YJD5e6NzyjKzJ3wc8kY5l04qfLF3X9djvhXqPD+1qQUZLpbyXVrTV2Maz1C90y80zVVuYi9nMRDHHIu5Qr7yMDopLt14PPavrTTdQttW0y21C0ffb3MayxnvgjPPofUV8uas2mzeILyTTdOlhtzBsS3lhyI5igjfOOgUlmB55Ar1v4JarM3h+40S6jZJLSQyw5Od0bHkY7YbPp94e9a0YtOyWnc87MqlKpCMnJKXa6vZ+V76M8p8N3sEfhu4sftJhurjUrUonkhvMwSc7uvy85HI+ceua77wfb3xuvFaJfqrpayiRzAD5n7+4ycZ4Ocn8a800SO6n0qW4SPfDpNwlyqKBukkkeNAnryEPTuBXqPgO6jum8WXi5SKWyklG8YIBmuTz6VjT3R6GMVoya/rVfoS/BuGeXw21ut7eWBkd5ozEsBWdQdrEboy2VO0HJ/iXHWup+FoI8LXIJJI1G55Pf568y8JeKbux8J6RY2ukSSXEF68lvdLeRxhm5Zo2DchSoIOcZ7cgVu+CPGOr6V4SubmHwpc3VmLqaaS4FyiBCWyVwRk49a0pySsceMoTm6jXVrqvM9mridWjuJfippa21wIJP7KnO9o94x5icYyKP+Eu8Vf9CBef8AgdFWLoPiO58RfFKyludJk04ppM2xXmEnmKZQNwwOmVI/CtpSTsjz6VCcOaTton1T/Uj1nTdYm8Saq8etSK8U9g7pDaRnfjcVKhg3zLgkDOCeDV2ax1UeL/C07eJn1BbiO5eCSW0iUIPKByAgXOQe9Xrm7trfxnqwnuIoj52nth3C8fPzz2rF8Ta/YeF/EmhXETC8soHu5UW3lj+TemWTqAADkjJ6HA+7UOyuzpi5ztFLo+i7egvxbjuF8HPBeXkV3J5scqRrbbTGA4UyE7uB8+3/AIHXn3h3wJbazqsNtJdtGJdHl1DKxAgMLhowuPTAzmul8Y+Jn1HwxrH2rSp4bq+8kK7TwssMUcyFVwrlupJPHVvQVm+FtfbTtdt3GnTzlNAltgqyxKWzcs+/5mHHOMfe9sVHtXGr7r0JjSk17OS+y+3eJt2HwSgutOtrhtaCmWJXI+xjjIB/vV5j/ZIW3v5VZD9mvGgwYgcgZ59ug/OvcNL+IipY21quhXjvFbRE/wCk24ypGAeZO+08da8ajuC9hqpI2tLfOSm8HHft1/D3qsTi60YJwm7nBicKqeFrTcEnpbRfzepT1nTDZ6Vp9yJywuLVJRHtwE3FsgflXpWuWF1B8FI3mv7jifDWwEZjU+e3Q7A36151rt59p0rTIlG1Lexij6g+YcFiR3GN2Pqa9O8V6jZP8G2jS7geT7UTsWQFv9e3bNY8znKcpPWx9BGCpyhCKslJfkzmYZZL9PiTc214TFtG52jUmZQ7DOVwATjOQO9ZHiPzP+EV1FGuVdo/EcwljEIXLFDh93ocEbecY61saTZpp+j/ABCs0dH8mygRnR9wZh94575OTmuV8V2k1tc3t0HP2e91S6UrnjfE556+kvp+NKW33nRRSdRpeX5I91+Kej/bvDyX8asZrN+SvaNuD+R2n25rho7bQ5vhfb6l9jP9tm4XTz5cjHdNu6kZx/qxv6d69r1Cyj1HTriymAMc8bRnIzjIxmvm8NrGgatdSW86oNNdpjBuC5nP7gsuRyQGz9Afc16bnKMLx6fkfEU8NQq4l06yVprRu266X8019xPFZwXtoz2N2JLqXVzYW1oYwGZSAVcksOMkAnHGc44xV6y8Ni/uUVb4i0Wzkup7h7RgEaNVLoo3EvtLKpbgZPGelVtO8OXGo+LYrLT5AptA8UlxLK6I7b2AyV5UuOODzgjvXTXdn4ks4r3SWXTY7YvFpKKpbcFuZNzLHznbtI+8ei+xxn7aqk9dv6/yOt5dgZyp+4k5J36Wat2flKxxcA8PSQKLnW7e0keFXaOS0lYZbOVyqnPAU577gOxou5tNltvIm8SRSW5bekTfadr4GwNjZj7uVGeQOOBX0DoUYtbzWLMKFVLzzUAXA2yIrf8AoW78qlsP3ev6vFgjeYZ+T1ymzP8A5Dx+FauUtb2+44YUaKUHFzW6dpvz9bbHgWh2Wp6xHPqOjmSZLbash3KQhZSo+R+pAZgCBxzg1f8AFOjeK9b1aCbVob83nktDEIYlBZOdwGwc8Mc+x9K6+STXG8S+J5NKNhsu763iY3CuWwhji428YBPJ64z3Fa2oHxmuv6MZR4fM7NMkO3zto+TJJ/BePrWfNFqzgv6+Z1OhXhLmp4iS1tq02lp3j5njGoWOpSi2kuZzEFtzbQt9kSMNGvBHygbiM8nk+9Q2w1SxuFntp7EyLEIQZbKJxtGOoZSCflHJ5688mut8X6ZrV54nImihnRS7Sx6bE7RJMdm/G7HzEbCwXvyeSay7DS557Ayw+H72QvbRTJP5UpAyCMjBwdxUnnIyeABxVU4Yea95WfqxV5ZrQk3SmpqybbjHs9On9M55rXUpCgeW0wiMmfs6chjuOfl+Y5PBPI7Yqf7A01rHbymJmjO8yLF+86knLHqDu7j0roG06T7Xcwf2JeLJ5kaLCI5C0ZbnkE5yQDgHPHPvWfo1j52uDT5ECSef9nYSptOdwU5B5BBBzjpzzxg7KjhotW3f/Dnm18wzacW5Ssk7aJbu67vzHDwtJJblriGNEsw0Z8zahztabBCgFjt3EZzwMDgcUTFZ2qoTHFHuOFO0ZJ/rXXeLZfJ2mPyXttbVb5txYmN0kkK7cfKP3ciKfZR1rmvEOmyWetXdnJBby3Hkxw25ssFGl/dr0PJY4bJ5+YntggUowV1Fb/kaywlTE1FTnXm/dTeu7bfTRLuxiSiRUdVYo6b1bHBG5l+vVGH4V7N8LNJ+x+H5dQf/AFl4/GVxhFyB+Zz+leH+GLGa4SGG3jV57mXYg28nPygfn+Wa+pLCzj0/T7aziz5cESxqT1IAxQ6spUk5bswp4GjQx9SNG7jDS779T5p8OT6nB4Cv1sdIE0MupW/m3pnUBGVlKJ5ZIJyT146/lUW2lubbxVNe2E889rNGN6yqiWzNcfMCm/BBJYADcAST70eGNd+weH9S06fPkz3FtcR7UyS0cqbgMc8qw/L89DTbp5tP8bQTxGPUb25t9lomXdnFwXdVA5OAG/KvF3S/rufpTvGcnbqvzj/XY2vCF1fQ+G/DQsdAkuphf3Xky7otsrmGQAYLZ+XO47sDC9a1vDuoalb/AAt1a1/sS9uEMtyJbvzoQFO7nILhiR7D6VV+Hp1CKy8Hyi1klthe3XkrHIo3sYpg2QSOQAMfRvWunj0/VvD3w51qyvNMdmka4nLxzRkKrtkdSDwK2gna/l+h5uIlHncbL4l18359Dq/7f1v/AKE/Uv8AwKtf/jtea+H9S1CP4haZNHoV1LMuiOggWaEMy/aHJcEuBjORgkHjpivUv7X1P/oW77/v/b//AByvMvDt7dp8RdMkTSriSRdEkQRCSMFh9of5gS2MZ45IPHStZ7rU4sOvcn7q2fX/AIJrTajqE3irUpJfCt07meyJjaa3JTAbAzvx83se3OKzPE1xd6l448MST+GJ1toriVYrMyW/7+RRljkPjgheCccHrkiuhuDr1xrWs3FjokwuGe1KCSeHEbRqx+b5+fvA8fpVXxNa67f634ZXS9IurabTTNcL5s0BLqAikffPUsAc9mJqWtDWnJKS2Wj67aepn/Eq+vZfDVykvhe4sEMIzK8tuQP38HOEcn2/4F6ZxgeELq5TXLZk0Ga6b/hHZU8sSQgsv2pj5nzMBgH5cfe46YrpfiDq15rPgO5vP7Guba3CCGR5JYj5b/aYQVIDZ4aNlPHWsLwXd3UXiC1MWmzzEeG5kCrJGMr9rc7+WHGeMdfaspfxfl+pFLS65VflfXzXmdhot/epd4j8H3UoGm2ihRLajgGXD8yfxfn8vPavGPtFwLDVz9ifD6g2871whOTt68njqOK950S61WLyrweH7xopdPtoVxPADlN5J/1nQ7x+teQ3mhavp+jau11p8iRy6ocyq6MiHB+ViDxywGcY96jFJ+z0ObGTSwla6X2er/m169DnNa88aVpxe2kjjeziILMhDYyAwwc4IHfkY962/Fej2lr4P065h8NzWEst3Ir3jTo4kwX+QKHJGMeg+7UXjbTtQ0ix0zTtSszbzwWUaH94rhsF+RtJ9+uK7Pxhpet6n4V0HRY9HlS6e8lljzNERJlJZMDDddueuOlJR1ke7GqlOLurN9+ln5nJ6VdNHo/jUWGjyLaXFnA2FkQC3Q8hiC2TnOcDJ9ap+JrnU5vDlyk+liGyGvXLrcGZSwlYfNEVBPTGd3StLw5btZaD8QrSSOWF47VFWKcEOqh2ABB56YrG8X6tvim0dGP7rV7y5kHbLMFXv1+Vu3f3pv4Tamr1nZdV+R9UV5R400K2Hjy1a5WQ2epKWdYY/mLqhXAORjkqxIP1r1euT+IWgS674bYWyO91bv5kap1YdCB74Ofwr1IPW3c+FxMfdU0ruLT7+v4XPH/CE+nQ2D3XiTSb2W0dWW3uoFdcsuDvDEgHjcfTgcdaXfG50b7TBqy2t2/mzOEw0qruKPEGJBO3ZyelaS2Wu2ekW1peaPeMtjg2kPkFbdDnc0jJj5nLEnOcDOAKra9c2Gsa9pEd1bXMOh2llFaGNlAcKpOSB6kY5yMY70lCvypeXr/maTxGVurOVkvevs46dUtFrq+xWY6b9hW6ebX43+yebIQgG5wMkffB2jPU/lzUM9qsTr5V7rDEjnzEZCTwMcSEkc8e/wBa3ZIPB893bW1rp9rDaKJxJLMrKZSRIIfwXCkk/wB4dwakvrLwjJcxanaWunw2QlSA2PykuNhLSMCwIwzYB/2P9qoaqdV07HTCpgnf2dRr3k1afR/N66v9Sn4e1zXNP0uxFno15dQvLuR2t2MswE6ucnvyu3IzgN7V0Wu+LtevJ9MzoF7plysrpFIULM5dCp2KyjLAZI681o+Fbcw+HvAUKSJyX8zuQGjeXHtyo/8Ar11fiPSrfWZ9OtLlcxNJIGIOGH7psFT2IOCD7U4t8q06GdWEVVlaT+Lun1XdHKQalFpt3okcfh3WLW1tY51eJoN7TblG5iOrHIyWPqfWuM0bXvEWlaLb2pfRIYVhhiBngud+xHZlJKjBGWOcdunNekWdzcx+KtK0bUZ5JL6xSZhOyYF3CVwr+mR0Yf3hkDBFchafEUaNolnZSaJfywWUkmJxgrKsTkHHHGOOe2Knmp3Tat8zVUcW4zjCSle26XXrujMj8T+In1qa7tTpVzePcCZljiuGRmRDGpAHOzDcd92M4FYmoeF/FGoalqGq39ibaa7jluniiQpgLguVVjuJ6cdcmus0rxhPpN0+oN4a1CZS00hKEYXz5VwemAMps+oNXdQ+Ici6nPdX3hTVFhjt/sUsTEKYjIQfmOONw2457e9aznCMvNLzOPC0MTOl0tOXRR736t/keaWOn28XkzXi6mltMxRjsXcF+XlCcAnBz7fXiptQ0qyk0a0nsbrURfx7HuDJCiwocHJVkwchhxn35pJL2/l0sxppsr3PlRQRyvIB5Bh8sBiuMfMkQGDx1OTXby61FqmkeILGz0qSS61O9WUCBPMCgFSM45JyrH8ciqipVI2knt5pamVavDCVZTpTj8TtpGUvdVu2l3tour7Xb8LNGiuPETXSRsttYRlkG7OGbIUH143H8K9prlPh/oUmieHR9pi8u6uXMkisMMo6BT+p/GuroqtOVlshYGnKNHmn8Urt+rPlfw9Cl3Z2unXckemi3vjefb54XkKgqo2KijnJUE8gcCvSdB1Lwn4d1zVHtdQkkS70+MSXUkMhae4Lylzjb8uQU4GB0r1+iuONLl6n0VbMFVveLSfn6eXkeHeCvEOmaZoXhKC9uGilsr65luFMLny1aKZVJwO5ZenrXaeJfHfhu+8M6ja22omSaWBlRBBJycdPu13tFUoNK1zCpiac6ntHF3vffzv2OX/4WL4U/wCgr/5Ly/8AxNed6B4k0q08eadqE9yyWkWjPA8hhfiQzuwXGM52kGvbKKbi31Jp16cE0ovXTf8A4Bw9l498Mx6pqcr6kQkskZQ/Z5fmxGAf4fWibx74ZbxDZXA1ImJLSdGb7PLwzPCQPu9wrflXcUU7S7ke0pXvyv7/APgHjXjrxPpF3omt2GlXTXEepCG4VFhkGyZJYw/VRwyAN9UcnlqzPCGvadp+t2s93O8USeH5bRmML8Sm6ZwvT+6Qc9K94orN0m5c1zRYimvsva2/p5eSON0zx/4Yt9Ks4ZdT2yRwIjDyJTghQD/DVDS/Gfhb7PqsF9eq0N1eTNse2kIeNsDkbehwa9BorTlZk50mmuV6+f8AwD5n+IFxFdaglvpt7LqNhFCFt3MThol3MRGSw+bG7g+mK9RvvGvh+XUvDEqX5ZLOd2nPkSfIDbyID93n5mA49a9HorONHlvZ7mir01CMFF2Xn5W7Hzlqtzo+oan44vXaYy3O06bIiSqZDkhhwOVI6huOnoKxfEttBAl9BaznU5ry+F19siiZAUAf5ShAKtlyeMg/hX1PRSdC/U7IZnyNWj269l6BRRRXQeOFNkijlTZIiuvowyKdRQBmT+HNEuTmbSLF2/vGBc/nis2fwB4ZuBzpiof+mcrr+gOK6WiqU5LZmMsPSl8UU/kjiZfhdoLMXhlvrduo8uUcfmCaiPw6uYXQ2PijUYBGP3YbLbfXGGFd3RVe1n3MXgcP0jb0uvyZ5nq3gHxRqVvHBL4iW5SNiyGVnjYE9fmGT+Ga51PhfrtjuKWVvdqckRi+kUAnOcfOvXoefT3r26ik5J7pP5FxoSgrU6koryk/1ueM2/wr1u9Gy6aC1h27WjNy7Buv8KnHXnGccniupsvhhaplr/VLq4JYOVixGpYDGecnp3yK72in7R3utCFgqfKozbkl0bbX3aL8DBs/Bnh6yIZNMhlkHJefMpJ9fmz6VuRxRwxiOJFRB0VRgD8KdRUOTe50QpQpq0El6BRRRSNAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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xKMlt4E8O6LgrcXLfaJzkHDbfnyQR1aVjx12+maypt8r8tDpwMqNSEKcbuza/8Bf+SRg6FomvWmo2+riQyXmh6cl88AJfCyOxMf3s7mj8yQ+rNjpive7C+g1KwgvbWQPBOgdGBB4P04rjPhdpzQaRqGoyXMt015dmOKeUEM8EI8qIkeuFPPvTPAOsWseveIvCsEwMem3TPapknbEW+ZBnsjHbjAxkdetdFP3beYsW3Wcv7n5dfxf5njfhqw0688GanLJcTRX1vfWvCTFVMTuFyVPynByc84OPx6nwDpVnqEviqSdRdQpbPJazbiCy+ZN8xwe5H8q8+0kp9kitlmJ+33ItruLn/Vho2Rh2zkOPXrXrPgaGO3ufF0EKBIo7SVERRgKBPcgAVz09Wj2MY3GM9d/80ct4VtrS48P+H1mt7Qg31xvkfUTCeIpCCwwQmMAhuckY6GqWjaTZah4A1q/nhilnilmaN21Fo2XCqciHbh+ec8Z/Cuh+Hng3Q/EugacJtPjkmSZ5r64LtnYGISMAHGWIyT2Cn+8Kd4U+E+keJ9OutQnvbu3IvZoljh27VVWwOoNCi2lZCqV6cJT5pNWa6efr1Jl0DTj4Y/tNYLc3zWHmecPEEu8sUB+7t9QPlz2xXNW2g2134ktrZLSOZZNPEjoNRcgk3BQ5YDI44C/QnrXef8KF0H/oK6l+af8AxNZ9r8NLXRPHtnpen6xqEIuLGSd5hsLfJImAPlxjOD+FW4S0ujCniqPvcs23q9n/AJjrHw8bTxDqtmujQusNxZKEfU5GK7lJC7iuSD/472FReK9Ot9L8aeG5ZdHjjMkknnWsN28qum3iRm2grt+Y9+F46V0cEX9g63rkl7qFxe+XPYyyTzKu9hh+MKAOgAAxmk8R2mry+JPCVzapbf2rJPdXHl3bMqKPLGEJUE/KvHA5IJ71XLp/XcwVZ86beln3/lE1rQ4PMsHj0W12SPEVIv3YMDcQDIOPfH457VxWneL7bw1rNs+if2fKzaPHFdfap2QCZZH3Lk/xcj+da3jG18U6doLWl1Lo9jb2yq1lJFdyjy1MkYCKSgzsKjg4wrDGdtecrpmof2xNbL4o0cSxWkjNci7IiZVYjylYgbmY4YAdjn1rWNNS15rapf8ABJg5crXLzKze/ppsz09Pi5qjxq2zw6u4A4a+YEfXiqWofFXUtQ0jULZ4tCVZIpISFvW3MCpGVyMHrxXGRaXqaqrDxrpCRiSGA/6b8w3qDkDqUUuoJ7fOeimuaF1LDDdD+0cqXf5EX/W44zj3B4z7+9auirL94tfL+u5hKagpT+r35Wtn5+h2/h/4h6p4VsUB0+2ufKto1iMkjDy42CnAAGMscEnvgD+HjmtXvheWWpTyQql1NqrSna7EKCrZAGMHBPU8/rWZMm/SrW5lvInneMhoVxmMB2AB544AP0YV12pfDyfTPBv/AAkn9rrKpk2CJY8ZO8pndnpxnpXFUilJwvdI9ejUStPk5ZSa0131stjmNcitZNb1Nrby4oIgDDHHvZSMqoUFgpxg5yQM46DNSSy6UPBVvFHLKdVa+ZpI97bFiCAA4+7kk9evy9u+npXhhbjT/F0l5PMlxo8f3VAG9tzKQ2RkdPas7WdLuLePUpTIzWtpqJskZl5cjfzkdwFGf94VHLGzd9fT/gmyq1HOMElZNXd/L011ffzN5PHd7Z+P7jWbmwzqAvjlWnEe2La0ZhYkEY+7z2Kk85BD77Vb/UvH2ryW2hGK81RJLH7LHdo2ydQmWWQDBIZVbjHpmrXxZ0ePRfiDJdrbCSDUoTKEDf8ALQqUYjg4O7Dd+Tx7N8Q6bqng/wAM6Pa3trHBe2Fyt9Y3kY+Vy4Bkjb/porrHjsVU+nI+ZNp9CIOlKMJwSvJW/r0aX9XM/RG159X0y8stPvP9OgMcKWl+beS5jhXDgMDnjy+MjtjB4raN3rKxSa1baRqjRQSQ6mfP18TqPKYKxkTGWOECEHDLj0GKguLg+HU0Zotcke4sbzNvHdKJEEMkaS+cuCPlO4AruPTIGa6660TxBdeKb2G21HTWj1OCXT72eO0dITKULFcbzmTahBYdOAcniqiuhnVqK/M0ra9+j/yf3/gf8LsuP+hcs/8AweQ//E02T44TxRtI3hy1IUZIXWYmP5Bcmub8P6z4gW3tY7bRYpzcRRxxs2mrKHZFZeCZRlsRMT3O05HFJf3viG48O6xazaLCkCmQyumlIrJvO4YYSZAJPBwfxqvaStv+Bj9Uoc1nBf8AgX/BIz4ru9U1C6ZNO1JXu74Oi2viDyoQxKEIMDaX9wc98fKa07y+1u38R2OiT6N4gj1KVTcRwv4qLbkCuCQ+Nq/dbvnAI71U8LaXq+taLr1vFcWlm1qLW/Ie2LPv8rfG6MHwOF685DZxziqWuT61rXj3To9TaB9Wt4JYLqGK3Y7UTzGZSof94GQseMbg2Mdqm7tc25YObiktE+r7K3yKviVdcuPsWuSafew2TwkQSXmr/aXPzgF1YkELllxxjnOeRhLHT/HaaTLeWD6tFYWtqkrNHquwJDs8xcDcONpztA4z0zXWfEmTXf8AhE7a7m1DTdQtJY90ItbNkyN8ZGCXPHTt2x3rz19Tijt5Io9Q1UDy3X/j2KqQEAQf6zgEkg/3QO9ejhsG5wlUT/BdjwsViuWrGKirysvia62Wmmqv2OjstJ+JVzIwtpNYZ5AXb/ic7ScYUk/OORwOefyqr4R8e3PhDUb66udKm1K5ucq0kl2dwIbLZba2cn+VY7asYy/2a81X5PMWHMDDC7kCk4fjI3sQM42qOc5EWmQ/aIbuaPakUNq8gWeP5m+b5tgzjIXkH69+muJwTpRUpy212Xp+py0cWq8lFwWrSV5N9HbZ7/5j9R8Uy6nrV7qLW80Yu5HeRI7nafKYkNHu29Cp29Onanat4rl1XUhcQwX7Ktu8CJeXz3TRl+CysQNp5AxiszSoPNuXJ2bY0aRhIpZSI0LkEAjqVA69SKPDsF9c+INOh08xi8e5j8kSnCltwI3H0yB/SvBgtHbqz6bB4ehQU/ZxSV+73trvfyPWh8RdS+H+lWWgXnhFY5bW2XpqUbnHTewRDtyx7nnNcDoGqah4a8XWd9LaSNqctzDK488MZIplLMuwZJLrIhBPII9enZeOPCz2w0bwtZT/AGzW9XuGu768mIDzMqkDJJ4UZfC9OPWovBCt40+LUmsy28lvDYxieSBl+VJtqptAPT5skd/k7Hp0PmckhU3SjRlUtum3vr236N3OP8N3sEfhu4sftJhurjUrUonkhvMwSc7uvy85HI+ceua77wfb3xuvFaJfqrpayiRzAD5n7+4ycZ4Ocn8a800SO6n0qW4SPfDpNwlyqKBukkkeNAnryEPTuBXqPgO6jum8WXi5SKWyklG8YIBmuTz6Uqe6LxitGTX9ar9CX4Nwzy+G2t1vbywMjvNGYlgKzqDtYjdGWyp2g5P8S4611PwtBHha5BJJGo3PJ7/PXmXhLxTd2PhPSLG10iSS4gvXkt7pbyOMM3LNGwbkKVBBzjPbkCt3wR4x1fSvCVzcw+FLm6sxdTTSXAuUQIS2SuCMnHrWlOSVjjxlCc3Ua6tdV5ns1cTq0dxL8VNLW2uBBJ/ZU53tHvGPMTjGRR/wl3ir/oQLz/wOirF0HxHc+IvilZS3OkyacU0mbYrzCTzFMoG4YHTKkfhW0pJ2R59KhOHNJ20T6p/qR6zpusTeJNVePWpFeKewd0htIzvxuKlQwb5lwSBnBPBq7NY6qPF/hadvEz6gtxHcvBJLaRKEHlA5AQLnIPer1zd21v4z1YT3EUR87T2w7hePn557Vi+JtfsPC/iTQriJheWUD3cqLbyx/JvTLJ1AAByRk9DgfdqHZXZ0xc52il0fRdvQX4tx3C+DngvLyK7k82OVI1ttpjAcKZCd3A+fb/wOvPvDvgS21nVYbaS7aMS6PLqGViBAYXDRhcemBnNdL4x8TPqPhjWPtWlTw3V95IV2nhZYYo5kKrhXLdSSeOregrN8La+2na7buNOnnKaBLbBVliUtm5Z9/wAzDjnGPve2Kj2rjV916ExpSa9nJfZfbvE27D4JQXWnW1w2tBTLErkfYxxkA/3q8x/skLb38qsh+zXjQYMQOQM8+3QfnXuGl/ERUsba1XQrx3itoif9JtxlSMA8yd9p46141HcF7DVSRtaW+clN4OO/br+HvVYnF1owThN3ODE4VU8LWm4JPS2i/m9SnrOmGz0rT7kTlhcWqSiPbgJuLZA/KvStcsLqD4KRvNf3HE+GtgIzGp89uh2Bv1rzrXbz7TpWmRKNqW9jFH1B8w4LEjuMbsfU16d4r1Gyf4NtGl3A8n2onYsgLf69u2ax5nOU5Setj6CMFTlCEVZKS/JnMwyyX6fEm5trwmLaNztGpMyh2GcrgAnGcgd6yPEfmf8ACK6ijXKu0fiOYSxiELlihw+70OCNvOMda2NJs00/R/iFZo6P5NlAjOj7gzD7xz3ycnNcr4rtJra5vboOfs97ql0pXPG+Jzz19JfT8aUtvvOiik6jS8vyR7N8a9BOqeDk1GIZm02TzDwOY2wrfrtP4flzsfhmPxV8P9Nuh4j8QX19qOI47W5vt8InXO8lSudq7XbrnAHPOa9lvLSK/sbiznGYZ42icYHKsMHr7GvCPh7rF34V8Q6hoE2m3Oo3ttLJHawiaOPZkjzNoY8ltqHgngEjuTvUSU7vqeThKk5UHGD1g79Nn6+Zz1hYX/iKPRoZ7REjMn9mGQk7i8WW+YYO07ZlUdfuds16lN8LbfT3sbfTdd1W2VpjsVJ2AjOxiWABGOmPxrjfCWo2o+K988ttNbWiTyz/AGONDL5chwG4jznDAeoGOMdK9V/4SzQ5tcSV75Yo4LcgGaJ0+Z2H94DGNg/76rWhD3b2ucObYpqsoOXLZLq1vq+tn2OTX4b63Yn+ztO8VzhAftQ3rja4bIIzuIy248e/qagm8FeNZEkgj1iwuo7eJLRopYVG9FXdGD8gzt35BznJNd9Za/o0+pXs66tZchIkBuE5VQTkDPq5H4Vc0e6t7mOeaKeGRprmQ/u5A2dp2jof7qitXBW1RwU8VUcly1G9+qf6Hz1pHhbxcNMF3p99cpbXdh57GK98oGJOPn+bkLkjH1xVO8tPE154i068sRqa395Az2kzXjyzSINwLK/UDbnj09jXSHWNQfQdA01dJuRZO11ZOUljH2sCTcIwc/KAUAIPUEgcHnrPtt5ffFrws13ok+kiO2uY44pWRgwEZ6bScYzjFcijF2VvzPopVq8HKfMndO2kf+HfT+meR3+neMLK08i+/tSK2j3fu5pHVF3n5uCcDcTz65rKI1PkGeUkkEjzCefX9BX1TraM93ChjSSKTygyuAQcXEWf0Ncvf2NpF40vCbaJV8rbEuxQuRCX4HflQc/4V1Rw1Nrd/eeRUznEwd3GD1t8J4RDa6zc/uheqA/BEl2qD8ckCotT0u+sFjS6vIJlJC7YbpZguP8AdJHf+dfScFlZJoWiXDWlvmGaKGUvGAWJzDzxydzA49a8y+NUdpY6hb2kNtGjyH7UDGm3AKiMjjg8oD7fiaitRpqDav8Aeb4TH4qrWjBqGr6RS6PbzPM1spP7IkvlmAUOsZTcdxL78cAY6RtnJ9KdDBNZ3qCN54rlD5kUsT7cY+ZWB49AQR/MVJ5V/cQ2lhFbswkbzEiUglyPkye/UMAP8a0PENxKUt4rjTpLRYIlt2AxjzYwVyOuMtuzggHjjjnkopJcz6fqexUnNxjTW82+q+XqrW0tqjYh8zXPEOravaeI9QtLfTbDzori7u3kuduBlFYEHBdivtv6EmvUvg1osth4Ul1W7VzearN5zSOxLOgztJz6ksffdXhunW8l2bfRIoJItRv54Ujm3YUxSdQw9Cdh+gNfWFjZQadYW9laxiOC3jWONR2UDArSjH3m30/r8jDMqijSUIve3bZf8H8j5p8OT6nB4Cv1sdIE0MupW/m3pnUBGVlKJ5ZIJyT146/lUW2lubbxVNe2E889rNGN6yqiWzNcfMCm/BBJYADcAST70eGNd+weH9S06fPkz3FtcR7UyS0cqbgMc8qw/L89DTbp5tP8bQTxGPUb25t9lomXdnFwXdVA5OAG/KufdL+u56rvGcnbqvzj/XY2vCF1fQ+G/DQsdAkuphf3Xky7otsrmGQAYLZ+XO47sDC9a1vDuoalb/C3VrX+xL24Qy3Ilu/OhAU7ucguGJHsPpVX4enUIrLwfKLWSW2F7deSscijeximDZBI5AAx9G9a6ePT9W8PfDnWrK80x2aRricvHNGQqu2R1IPAraCdr+X6Hm4iUedxsviXXzfn0Or/ALf1v/oT9S/8CrX/AOO15r4f1LUI/iFpk0ehXUsy6I6CBZoQzL9oclwS4GM5GCQeOmK9S/tfU/8AoW77/v8A2/8A8crzLw7e3afEXTJE0q4kkXRJEEQkjBYfaH+YEtjGeOSDx0rWe61OLDr3J+6tn1/4JrTajqE3irUpJfCt07meyJjaa3JTAbAzvx83se3OKzPE1xd6l448MST+GJ1toriVYrMyW/7+RRljkPjgheCccHrkiuhuDr1xrWs3FjokwuGe1KCSeHEbRqx+b5+fvA8fpVXxNa67f634ZXS9IurabTTNcL5s0BLqAikffPUsAc9mJqWtDWnJKS2Wj67aepn/ABKvr2Xw1cpL4XuLBDCMyvLbkD9/BzhHJ9v+BemcYHhC6uU1y2ZNBmum/wCEdlTyxJCCy/amPmfMwGAflx97jpiul+IOrXms+A7m8/sa5trcIIZHkliPlv8AaYQVIDZ4aNlPHWsLwXd3UXiC1MWmzzEeG5kCrJGMr9rc7+WHGeMdfaspfxfl+pFLS65VflfXzXmdhot/epd4j8H3UoGm2ihRLajgGXD8yfxfn8vPavGPtFwLDVz9ifD6g2871whOTt68njqOK950S61WLyrweH7xopdPtoVxPADlN5J/1nQ7x+teQ3mhavp+jau11p8iRy6ocyq6MiHB+ViDxywGcY96jFJ+z0ObGTSwla6X2er/AJtevQ5zWvPGlacXtpI43s4iCzIQ2MgMMHOCB35GPetvxXo9pa+D9OuYfDc1hLLdyK9406OJMF/kChyRjHoPu1F4207UNIsdM07UrM288FlGh/eK4bBfkbSffriuz8YaXrep+FdB0WPR5UunvJZY8zRESZSWTAw3XbnrjpSUdZHuxqpTi7qzffpZ+ZyelXTR6P41Fho8i2lxZwNhZEAt0PIYgtk5znAyfWqfia51Obw5cpPpYhshr1y63BmUsJWHzRFQT0xnd0rS8OW7WWg/EK0kjlheO1RVinBDqodgAQeemKxvF+rb4ptHRj+61e8uZB2yzBV79flbt396b+E2pq9Z2XVfkfVFeEfFbRrXRPHdrrk9tI1hqEbeb5LbCsyrgEMPun7jZ74PXmvd64z4neF5vFPhCSCziWS+t5FngB4JI4ZQfcE/UgfUdtWPNHQ+bwNZUqycnZPRnz1pWu3uj6na6jZ6gba9Z2827wJiQ/3iysMkj8c9ua75PFXiCO8Uj4kabi5lZZJPskZCBVO1iNnAOOMeoz1rMvdG8Q3GgS2OoeDb5njj22UlvuVLX5txJXB3k9Mk8KMDFZf9lpZRWYutB15WDKJ4i5VCuwAshxw28MwHIwcds1zqE46L9T1pYjDVEpzaur/yv8+x0B1vUnkiSTx7ojJcSyeYz6dCwQjozfuzw20fpWfPPJJZ27Hxh4fZp42LqNNiDRsULYYiPPUYz2OKzVbQYreaOeLWZJntk2GXMflXAIDHGSCnVhnByuD1FW1j8GyWbWQ1W9juUdwl1L5gilj2/JuQAlSC3zY/55nH3hVc1RdfxZl7LCS+ynZfyQf5J7GlocnhSXSbe31jUYftUepzCaWORkBQkFZEA4A6kYAqtf3+n3PjDR7K78UXctnbmRW1aC7fd5TD5fvZ2NxtYAYIwe9aXhTxL4f03TpfOuFjhh1WO7WOUCSVo/IwwHU8EAdfb1qXX9Wgg8QeHPEySabqF4z3EsunxXkapbxbB5cZbkAgbiSerZx2pOTcFqVGlCNeSUWt7bbtdNP+BsU/Elto3mWcWgfEG8leRmMr6hqDlIwuCOUTOScY47Vyjad4rubgz251S/RpDFHeQPI6TcsmVYjJB2sPpmvQJfic9zqVvff8IjZr9ijYtE2pRBj5gTBAKZyMgYAJ5PTBrPs/iDJYWcEB0Ng0d4smIrxCu4XE0hUDBwDuYZ9h6ij3G9Xb7wbxFOm+WnzO/Vx/RI5oaV46NmrvZ+I2txiXIkk24HzAgY6g4Ofaq+p+G/F82bvUNJ1p4oky8lzucqo5PzEcCvTYfi476abNfDM0qR2gLut4hAjxt3HA4/PpzVLUPjdDc6ZdWE+gyM0sLQu63a4JZcE8KfWk40+smWq+Mt7tGN7d1ueWGC/sNWigvHktLq2kjjEc77HhJJfcCQdoDfMf97vk1Y1u0k+0k3PiGy1GbJk82OeSRTuJZsZQYOc59Swxmr2l67JJqN3q8pVNQeczxTJAZJA5PI9CuAAQc8MfU1vreeKtevJbi68P3d8ZLT7OqpaiNEy4YnhcYJC/hwTiiFK6339RV8wVOoly6x3+Fb20V3e2+3b0Lvwd0Q6h40uNTe5W4t9LiCROqsVZmG1cFlB4UHsD0r32uM+GHhmbwv4Oit7uMx3txK086n+EngD/AL5UfiTXZ10UouMdTysdWVWs3HZaL+vN3Z8r+HoUu7O1067kj00W98bz7fPC8hUFVGxUUc5KgnkDgV6ToOpeE/Duuao9rqEkiXenxiS6khkLT3BeUucbflyCnAwOlev0VEaXL1OitmCq3vFpPz9PLyPDvBXiHTNM0LwlBe3DRS2V9cy3CmFz5atFMqk4HcsvT1rtPEvjvw3feGdRtbbUTJNLAyoggk5OOn3a72iqUGla5hUxNOdT2ji73vv537HL/wDCxfCn/QV/8l5f/ia870DxJpVp4807UJ7lktItGeB5DC/EhndguMZztINe2UU3FvqTTr04JpReum//AADh7Lx74Zj1TU5X1IhJZIyh+zy/NiMA/wAPrRN498Mt4hsrgakTElpOjN9nl4ZnhIH3e4VvyruKKdpdyPaUr35X9/8AwDxrx14n0i70TW7DSrpriPUhDcKiwyDZMksYfqo4ZAG+qOTy1ZnhDXtO0/W7We7neKJPD8tozGF+JTdM4Xp/dIOele8UVm6Tcua5osRTX2Xtbf08vJHG6Z4/8MW+lWcMup7ZI4ERh5EpwQoB/hqhpfjPwt9n1WC+vVaG6vJm2PbSEPG2ByNvQ4Neg0Vpysyc6TTXK9fP/gHzP8QLiK61BLfTb2XUbCKELbuYnDRLuYiMlh82N3B9MV6jfeNfD8upeGJUvyyWc7tOfIk+QG3kQH7vPzMBx616PRWcaPLez3NFXpqEYKLsvPyt2PnLVbnR9Q1Pxxeu0xludp02RElUyHJDDgcqR1DcdPQVi+JbaCBL6C1nOpzXl8Lr7ZFEyAoA/wApQgFWy5PGQfwr6nopOhfqdkMz5GrR7dey9AoooroPHCiiigBkkMUwxLGjjphlBqlLoWkT587SrGTPXfbof5itCindkuMXujAm8D+F7gYk0KxP0iA/lWdN8LfBk5ydEiQ56pI4/rXYUUtxpW20+/8ARo8+m+DPhCUsVguosjok/T8waot8DfDgkDRXd+mDkBmRv5rXp9FTyx7GqrVVtN/e/wDM87s/gt4TtgPNS7uW7+ZLgH8ABXQWngDwpYhRBoVp8pyN6l//AEInNdJRTSS2JnKU/jbfq2/1K1vp9labfs1nbw7RgeXEq4H4CrNFFMhJLRBRRRQMKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/Z", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 47.4, 0.0])</answer>", "action": "('rotate', [0.0, 47.4, 0.0])", "reward": 0.0, "image": 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", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "ae83eb6e2e7b6b7fa785560bf2e3ee4061410746d2aa81c661b382432e0018a8"}
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Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -131.4])</answer>", "action": "('rotate', [0.0, 0.0, -131.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.0, 0.0, 0.0])</answer>", "action": "('rotate', [-22.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 66.3, 0.0])</answer>", "action": "('rotate', [0.0, 66.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "ea970b4d8e2def7d1d88664fd128dbea208029e241318a3f23483ac574e7428a"}
+{"episode": 50418, "episode_seed": 705379144, "split": "train", "timestamp": "2025-10-24T09:36:40.958690", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 705379144, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -105.4])</answer>", "action": "('rotate', [0.0, 0.0, -105.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [35.9, 0.0, 0.0])</answer>", "action": "('rotate', [35.9, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, -94.0, 0.0])</answer>", "action": "('rotate', [0.0, -94.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "8a873ae462d0ca10aee0f18b162cbe09836ab6c9347834bd7eba15ebf037a514"}
+{"episode": 50419, "episode_seed": 84212558, "split": "train", "timestamp": "2025-10-24T09:36:49.946808", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_002520", "init_args": {"env_repr": "<OrderEnforcing<MentalRotation3DObjaverseEnv<mental_rotation-3d_objaverse-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x7225c8af22d0>", "max_steps": 20, "abs_size": 336, "master_seed": 2562, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "pad3_by-axis", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 84212558, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 16, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You are solving a 3D mental rotation task. Two panels are shown:\n- Left: the target view of the object (identity orientation).\n- Right: the current view that you can rotate.\nYour job is to rotate the object on the right so it matches the left.\n\nAvailable actions:\n1. 'rotate': Apply an incremental Euler rotation (yaw, pitch, roll). Format: `('rotate', [d_roll, d_yaw, d_pitch])` with angles in degrees.\n2. 'stop': Submit your final orientation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if the final rotation error is less than or equal to 5.0\u00b0.\n\nNote: Rotations are applied in the world (extrinsic) axes\n\nFor example:\n- Roll by 15\u00b0: `('rotate', [15, 0, 0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -90.0])</answer>", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 0.0, -88.9])</answer>", "action": "('rotate', [0.0, 0.0, -88.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "<think></think><answer>('rotate', [90.0, 0.0, -0.0])</answer>", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "<think></think><answer>('rotate', [13.5, 0.0, 0.0])</answer>", "action": "('rotate', [13.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 90.0, -0.0])</answer>", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.0, 86.0, 0.0])</answer>", "action": "('rotate', [0.0, 86.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.01 degrees."}, "think": "<think></think>"}], "extra_state": null, "hash": "c70ef641ab485e6cb65b531b6ca849ac535a5be231c1446e5d23de81140d2c7b"}