diff --git "a/mental_rotation_3d_objaverse/train/batch_000489.jsonl" "b/mental_rotation_3d_objaverse/train/batch_000489.jsonl" new file mode 100644--- /dev/null +++ "b/mental_rotation_3d_objaverse/train/batch_000489.jsonl" @@ -0,0 +1,20 @@ +{"episode": 9780, "episode_seed": 2962702624, "split": "train", "timestamp": "2025-10-24T06:43:20.962802", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 2962702624, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 55.8])", "action": "('rotate', [0.0, 0.0, 55.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [31.3, 0.0, 0.0])", "action": "('rotate', [31.3, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 69.3, 0.0])", "action": "('rotate', [0.0, 69.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "1e85b85ddc1c6adfec6538a67d9e15b84ed89a003e3ae3e2b6259b0feec8e7b5"} +{"episode": 9781, "episode_seed": 1350632372, "split": "train", "timestamp": "2025-10-24T06:43:24.342777", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 1350632372, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 123.4])", "action": "('rotate', [0.0, 0.0, 123.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [51.5, 0.0, 0.0])", "action": "('rotate', [51.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 112.9, 0.0])", "action": "('rotate', [0.0, 112.9, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "738c55c581017fbbfd851ddc61712f8a397dbf93de17e2082454e7c14c0168a6"} +{"episode": 9782, "episode_seed": 1524480460, "split": "train", "timestamp": "2025-10-24T06:43:30.856747", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 1524480460, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 86.7])", "action": "('rotate', [0.0, 0.0, 86.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [4.5, 0.0, 0.0])", "action": "('rotate', [4.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 127.0, 0.0])", "action": "('rotate', [0.0, 127.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.02 degrees."}, "think": ""}], "extra_state": null, "hash": "87b1bd6eabb3a67b7de618182bf5a86bfa9dc956b7f74a3718e5407ba7893e96"} +{"episode": 9783, "episode_seed": 4156289455, "split": "train", "timestamp": "2025-10-24T06:43:34.369829", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 4156289455, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -36.0])", "action": "('rotate', [0.0, 0.0, -36.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-63.8, 0.0, 0.0])", "action": "('rotate', [-63.8, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -46.2, 0.0])", "action": "('rotate', [0.0, -46.2, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.07 degrees."}, "think": ""}], "extra_state": null, "hash": "774260fa673f927019952ae886c764948229e248026722872650447d768aa8dc"} +{"episode": 9784, "episode_seed": 4079970168, "split": "train", "timestamp": "2025-10-24T06:43:36.364167", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 4079970168, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 12.8])", "action": "('rotate', [0.0, 0.0, 12.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [7.6, 0.0, 0.0])", "action": "('rotate', [7.6, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -39.8, 0.0])", "action": "('rotate', [0.0, -39.8, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "42b6f9aac536f62c85665247e1edaa978904b02579a651f5b6b7d37b3b9fef49"} +{"episode": 9785, "episode_seed": 3423429291, "split": "train", "timestamp": "2025-10-24T06:43:41.481556", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3423429291, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 42.9])", "action": "('rotate', [0.0, 0.0, 42.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-3.3, 0.0, 0.0])", "action": "('rotate', [-3.3, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -120.7, 0.0])", "action": "('rotate', [0.0, -120.7, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "c09afeebba2b1425d9173cbea139a62f55f91fad7cf781b59b9930a54e2010c9"} +{"episode": 9786, "episode_seed": 2761814698, "split": "train", "timestamp": "2025-10-24T06:43:47.018643", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 2761814698, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -176.7])", "action": "('rotate', [0.0, 0.0, -176.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [16.4, 0.0, 0.0])", "action": "('rotate', [16.4, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -172.3, 0.0])", "action": "('rotate', [0.0, -172.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "2a37511f062e236b0e3f342bd4a4dba1a4ed935dd71aa073d8706120e2925eb0"} +{"episode": 9787, "episode_seed": 3625890534, "split": "train", "timestamp": "2025-10-24T06:43:59.450421", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3625890534, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -109.3])", "action": "('rotate', [0.0, 0.0, -109.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [8.1, 0.0, 0.0])", "action": "('rotate', [8.1, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -99.4, 0.0])", "action": "('rotate', [0.0, -99.4, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "b6ea2f7c3b924725209b348f54205a84f12fa2458bb8e416e93e7be8883c0921"} +{"episode": 9788, "episode_seed": 4207484936, "split": "train", "timestamp": "2025-10-24T06:44:00.603575", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 4207484936, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -36.8])", "action": "('rotate', [0.0, 0.0, -36.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-8.5, 0.0, 0.0])", "action": "('rotate', [-8.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 95.8, 0.0])", "action": "('rotate', [0.0, 95.8, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "4494a8ae886599e2ff3eb69c676ffa282573ad5c814a0ec8b83fc84448a1955f"} +{"episode": 9789, "episode_seed": 4233058438, "split": "train", "timestamp": "2025-10-24T06:44:02.592461", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 4233058438, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 63.8])", "action": "('rotate', [0.0, 0.0, 63.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [9.5, 0.0, 0.0])", "action": "('rotate', [9.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 128.0, 0.0])", "action": "('rotate', [0.0, 128.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": ""}], "extra_state": null, "hash": "e05cf16e625d30ecece8fe3ff7cc58827cb222d5de243ac159edb47f9c793747"} +{"episode": 9790, "episode_seed": 825216719, "split": "train", "timestamp": "2025-10-24T06:44:03.966202", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 825216719, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -72.8])", "action": "('rotate', [0.0, 0.0, -72.8])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-45.3, 0.0, 0.0])", "action": "('rotate', [-45.3, 0.0, 0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -86.9, 0.0])", "action": "('rotate', [0.0, -86.9, 0.0])", "reward": 0.0, "image": 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.09 degrees."}, "think": ""}], "extra_state": null, "hash": "3deebe108146b7f4edcf2db20ba23d97c7c7ea5ad40b321f3babf533f8ddee4e"} +{"episode": 9791, "episode_seed": 3223359111, "split": "train", "timestamp": "2025-10-24T06:44:04.994595", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3223359111, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 86.7])", "action": "('rotate', [0.0, 0.0, 86.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-51.5, 0.0, 0.0])", "action": "('rotate', [-51.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -88.3, 0.0])", "action": "('rotate', [0.0, -88.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "f8668c50150c0faee513651d1e78043516143bdb6f00f9659695bbff1580676a"} +{"episode": 9792, "episode_seed": 2397755052, "split": "train", "timestamp": "2025-10-24T06:49:27.139047", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 2397755052, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 89.7])", "action": "('rotate', [0.0, 0.0, 89.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [29.5, 0.0, 0.0])", "action": "('rotate', [29.5, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 83.3, 0.0])", "action": "('rotate', [0.0, 83.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.08 degrees."}, "think": ""}], "extra_state": null, "hash": "140eef8787f7fc317a9b509220d38ff82f91ca420927aed82b5d30ffb0c56124"} +{"episode": 9793, "episode_seed": 96079375, "split": "train", "timestamp": "2025-10-24T06:49:32.292404", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 96079375, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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", 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j2LtJHuOfX15zXJifsf4l+pvR+16M9BooorrMAooooAKKKKACub8ca/F4e8M3Nw8wikkUxxt6E8ZrpK8D+KnifS9U1sWc8xmgsyNkUZyGbHU/gT+dYV6nJHTd9jSnHmZwpvNKFyzQWsl5cSOWeRh1Ynk/nVq0tNbvyYYRFbIdzc4Xjr+VQRz3d5Hs06xS1jRgdzDB/wA9K6zwZpFxHqS6hNeGeWSNkiw2ADnkjgk4x0Az9BzXmQhzzUXv56v/ACR1ylyxv+Wn/BOjjigg06K2uJmWN9p3SEFWIwpI6KTgrz8/445YEEUcsduu+OEvK28hgi5AB5GFyTnonHfoafJNFA7SSxuTKS/mRrnGUy3VuowDhm/4COtSvdTw3to22QdJBGX4+U5BA+Ufwbh9zJ/vV7KSSsjhbudR4Bv3ikvtClJ/0ZvNt855jY84z1GSDkEjLHmu3rD8LaZHp+ko4ALz/OGDbvkwAgBwP4VXtW5Uwjyqw5O7CiiirJCiiigAooooA878SnHjqxKqXmEyGFNm4NII2Kgj0zzntjPar1i1t5sOI5jH5/7svbBSbr5dyNg9FxwPujaefkFUPFPlnxpaJKzpE8iB5UOGiAjY7x6EYznt15xirVhd2omjlMTxmQBSoIAjjUIFnHPBOFyPvDAyPkbPJh2lz3/mf6G9VfD6I1Ue0/d7YD/x8AJ+4x/pA25Tr0GPcDZ1+UZrXS2kkERjiwUugY1MGA9zgDyzz93t3Hy9flFSJqFgduPMGSAOQNqfL+/5PXp7+o4aq93qFibddo28j5nGRGgAxc8HIb7vfdx2INdPMu5jZiWCKJTttIgGkZyzoBsuztzDnP3Rn/x04PArQCLx/o8A/ebuccXJ/wCWZ56c/wDjp9qy7G/s/OJFzEjGLITyz+8TK4ueuAxwPfirwvLZcf6TEdsYH+qPI4/fdevHTrx9KOZdwsyYIpxi3gH7zdyRxcn/AJZnnpz/AOOn2qneoxKbYIlAk3JtCkm8OcRnn7nIz06dcVMLy3XH+kxHbGB/qjyOP33Xrx068fSqd3PCzo0dxG5EXlEeUcBDjNxjP3xgcdeKOZdwsyxZR3BE4hR1QSM8xjVB/pPOYhzynIHOOnXk4tmO+OdwnGcyvjYcTc4iHqnI54B9fmOMuzZdrYng+SMQqHyu+PB/0kjPL/keCMjcKtHaucXNq21TCN0pO5Dn/SDzy4/M88/MMHMu4WZX1CK9eSUOLpVZRJIyIr7J/n2wD1Q7x9c8n5zip4a80+OL8zq8dwzs00bY/du0aEqMcEDPB79e9PvnjSQnzLSVo0MSRtMT5qHdm5bn5mXnryfm5G9cQeFBGPGN2sUgmjUlVnDl/OAjT5yx6k9z3PTjFc2IafJb+ZfqbUV8Xoz0SiiiuswCiiigAooqvfXJstPuboQvMYYmk8qMZZ8DOB70PQDE8b66mheG7iYyrHJIuxWJxtB4J9e4GexIr5tfULCO4lextGvLp2LPM44yeSa7r4lazFrzWt7eiSPSVCiKJWzulwSQ2Oh5OPUVw8c1zfQvBp9otnbAA+a4xxnv+VeRWqKpLm+z62X+b9EdtOLirdfx/wCASGwvLu5CX14IRM42wIeT2r0fS7RdKsnEFvIbeOHypA2C3CZbIzgkY6MTjP3cZFct4O8P2t5cz3KXP2m7hO1ZJE3oG74ycdx14OTweldvd4NyS8iy23lAKQ4KKhTAHUYHzgYygx/eHTqwkLR5v0t/XzMq0tbEc1pCYvKcOyxyPGij5juPmjA2/NgbV+Ube/BJxVq1szq+siBFys1y0UqqSgSNCGc9c8iRh15LcqKrvcr5flW0REwP2coV3bsFt2AqjIAbOMHtlMYNdV4F0g2gu7mUOJEc2yhsEYBGSDjkH5R1I+XjiuxmB2IAUAAAAcADtS0UUxBRRRQAUUUUAFFFFAHlXxFnnt9SuZbZmWVYsDHvGwx+tc5/wkmraD4eRrvUJHuSoEcfAC8cDjsK6zxtLHD4gklmIEaJuYn2jNeWQrN4r10yPlbSI/kvp9TXjNvnnd2im2392h6NlyxtrJpJf5nS6D4i197OXUdT1ab7OAdinAz79Kr6X4o8R61q7tHqM8NkhyV46dh06msnXL19RvItG04fukIUhehI/oKtapcxeHdITTbRv9JkGXYdRnqfr6U+eo/8U9l2XcXLBf4Y7vu+xa1fxZq+o6mum6feSMmdrHghj1z9Birmu+LtV0u1itIdRmkvGA3Pxke+Md6ytNt4vDukPqN0P9KlGFU9R6D/ABqvoVk1/dS6zqB/dISwLdCf8BT9ol71/dj/AOTMOS+lvel+COiTxLrOl6GbrUdSmkuH5RDgYPYcCqvh7XNckW41C71KWO2JLkcAM2AM9PQCsJ2m8U64FXK2sZ/Jf8TUuvX3nSRaJpw+RSFYL3PpR+8fuN+9LV/3UHufFbRaLzZpWfivxFrOsstrqU8NopycAcD8uppdZ8Z60+pR2Gl3828HazDByfyqpezR+GdGW0gIN5MPmbuPU1Ho9rHoumyatej984+RT15/qaPav+Ittoru+7D2a+B77t9vI1tc8V6ppelJaNqUs15KuGbI4Hc11Hw3luJ7+B7pmM3kAHd1wEUD9MV5vo9nJrWoy6rf/wCojOeehI7fQV6b4BnjutcM8RzG6kr9Niip5mpRpt3aabfm+gWunNaKzt6dz06iiivZPPCiiigAooooA5LxN4UjvBPeWlukryAfaLRx8lwAc59n7g+o9a8O1zw7PG82o3N3t0ppfLVEPzIf4Uk4GDjv0POO+Pp6ua8R+FU1MSXdkwiviBuB+5MByAw9emD7D6jgrYez56fzX6rz/P1OmnVuuWX9ep5zo2kW+m6RJFaImwlJgVOWDbWwwB74I6YK5OWUddC+lS2miiiDhmhMsh3HJJMedvzA5yh6Mck8MxOaktpG3XNrM8lvO0qpJFIxHzMcAANkcYOMf3uFwMildgtdbgC7EOqnJPJdh2Jznp3z0yfuV103FwTi9DCaak7luKFLpybaHMnnSQ8qwClxhT8vqeRkAdOATur1DT7U2Wn29szB3jQB3Axvbu34nJ/GuH8IabbXepreRyl0iijkdM9HGUToccBWOOxx2IA9BqyQooopgFFFFABRRRQAUUUUAeTfEi3mutTnhgALuoGCeo8s1xF1cReHNIGnp8tzKOWiO4+5OcfhXoHjy6Wx1qe5YZEce7Hr+7NeZ6HZPrGoS6vqH+oQ7hnoSO30FeJL4pufwJt+r0sj0o7RUfia+5FvSbePw/p7aleIA8i/Llsvz0GMd/rUGkWbalfSaxcjdCjbsyttBP0weBUNzLN4q1xYISRaRHr6L3arPiC+CrFoWmrwMK4Xv6L/AI1VpuVn8ct/7sRXja/2Vt5sjuZG8UawsdvvMEf975QB3OeeT9Kn1u+R44tEs1YMuFZYuQT2GeP5VLO8XhXQxDGQb6ccn39foKj0O0j0uxk1q/z5jDKA9ee/1NTzRSU0vdWkV3fcdnfle71b7LsSySxeGdI+zHC3Uw+9Gdx+pyBiotHtU0i1fV71B8wyu5vm/LHU/Wq2lWsuv6rJqN5/x7xnPPTjoPpTdRuZfEmsJZWuRbRnAI6Y7tVcurpt+c3+gubaSXlFfqP0+1fW9Tk1KYFoIzk+a20fToeBSahOfEuqx2lrvMUZxg8KB3Oef5VNr16ljbR6Jp/3iAH29fp9TUo8rwroe44N9OPyP+Apcz0mlq9Iry7sdlrFvRayf6EOtX0VtaR6JahlkwFYRfNn2zx/Ku++GVtPZ6glvPt3IhAC9hsXr715/oFkttDLrmonnlk3fzr0X4c3f27VEuSNvmITj/gIpL3ZRhHVKSu+7B6pylu07LyPUqKKK9s80KKKKACiiigAooooAwvEHhxNVAubZlh1CPBSQ/dfByFb1GQOe1ef3kNwJmiNs6XsHmeaAclcnOQTztIyM88HnI4HrtZWt6HFrEA/eGC5QERzquSueoI7j2rCVNxfPT+a7/8AB/Pr3NFJNcsv6/4BX8IaYdN8PwiSIJcTkzS8c5PTPvt2g8n6mt2iitzMKKKKACiiigAooooAKKKKAPLfiDaC+1ia23bfMjAJ9PkNec+IL9YYotC00ccK+3v7V65rdguq+OYrJndVkjIdkAJVTEwzyCO459SK1Y/A2kxsrLBal16ObC3LfUkpkn3ryqdFzqSm9Um7Lz7ndKoowUerS+48XkaLwpoYjXBv5xyff/AVFoFkmnWcuuaifnIJj3dee/1Ne3y+CdMmYNLDaSEcAvp9uf8A2SlfwZp8iCN47VkHRWsLcj8tlV9Wm4NPeT1fddl2F7aPMn0W3+Z4NplvL4i1eTULzi2jPQnj2Wl1O6l8RavHYWfFtGcZHT3avdJPA2mvb+QqwRRlgxEVlAucEHsnfHPtT4/BOmQkmKG0jJ6ldPtx/wCyVp7CXNzJbK0V0RHtVy8vffzPEddvU06zj0TT/vkAOV689vqakiEXhbRDI2030w6eh/8ArV7SfBGlmTzDDZmTOd39nW+c/XZTP+EE0xnkaRLeUu2795Y27beAMDKcDjp9aj6q+VQe2782V7dczkt9l5HiWgWSxRy65qJ4GWTd3PrVa0hm8Ua21zPkWsZ5HoOwr3tvBmnvH5bJamP+6dPt8flsoj8F6dEpWOO1RT1C6fbgH/xyqdCpeU/tPReSF7WFlHot/NngutXsms6jFpNh/qIzt46Ejv8AQV6b8PLVbLV0t0OVSMgH1+Ra6g+BNL2SLHHbRM6lS8Wn26sM+hEfWszw/pq6T43uLKNneOKMBGZQMjykHYAfj61nOk6fs4rZNff3KVRT5m97M7yiiivUOIKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//Z", 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "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": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "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": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "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": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 58.5])", "action": "('rotate', [0.0, 0.0, 58.5])", "reward": 0.0, "image": 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", 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", 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Pe32tvKSF8O/T8mL4eB23+iXHXnaDXonwj8Llr5J5wdtn+8bnjfuO3+Wf+A1wkljcNrFrqFoVZpU3O+MKO3TPuK+i/BujnR/D0SSg/aJ/30ueoJHAP4frmrpR9tV02dm/VafmTN8kPPZejOgooor2jgCiiigDzzxKXHjiyELbLhpVWGQnASQxsFJ9snp3zjvV2xj3SxYnmCCUmMGVXIuztLSN6od54HGGOANy4o+KVgbxdH9rYLZhSbknHEXkvuI+g5459OcVetIIBORNJEsgsQLjbtGLTjYw2jhuDnHHB7BK5cP9v/E/0Nqv2fRF9IR8m25n/wBd8uSv/Hzxlzj+A5PHT5jgcrirdrHHHATcXDMboCEYQ/6YQMOfRCSfb5jxjbi40FoN+50XFoFfBA22vZhgcNx29PZagvI4ooyYwC32YLLs25Sz/vjp83Hbv24FdRiVrGRlkYJPOU85o5D5aH/TjjLjj7hz16fNV4TdMXExxN5QxCv/AB8/89On3Dkc9PmFVrVAlwQFuPNS1WNNoUZs+gf/AHzjoPQcCrxEw3cXZxF5f3l/49/7/wDvdfegCITdMTzHE3lDEC/8fP8Az06fcORz0+aqd7O4KYnlZfO8pMIq4vOSJen+r6ZPI+YcVokTDdxd8RCP7y82/wDf/wB7r71SvxKHIQXG8QbJMsn/AB5/xN/venfpxQAlpPIonIJdRLsfJHzXfOJF4OEPB7geg2nNlridd25UO19j443XXOHHB+Tgc847/daobQ3ihthlBCKsWVjbNmAcMf8Aa9M+3H3qtM99zsaTvs/dp/x7c88/xdMZ/wBnK/eoAyr+SQPMJVUx7lSYq4XN4N2x1yDhMgZPQcZ+6+a/ht5H8cX3nhftKuyzlTlTIEQEr7enfHB5zV67a8N0AufOYEW+6BD/AKJzvY5/jweAf9nI5eqHhhlbxjcmL/UHPkkrtJj2LtJHuOfX15zXJifsf4l+pvR+16M9BooorrMAooooAK+fPEFtes1mulsoktLu4a43KwQRv5SqWIBwMoRz3YYzzj6DrycKkOraoknl+TFdyM+5cqAG4Mi/8tEzt+QEEYJGe3HXgpVYJ7PmX4I3pyahJryPP9Z8H3FxeJe6fKttqEYV5UMUq4yAQTlMjqOo5o1Lw3LrWkpcTvHDqMOF3LFL3J25+TIDYOM+h969DeaNo3i3gShcP9rAlYAhWHn4U+aCCNgUfICe3Am8xjqRiEUjSI4Uwyybnkky3yOeQ0vK7ZM7VB68DKWEilGzd47P9PQHXbvpuebR+HL7WtJey1BB9qhO2OYI4LHp3UHOeDVaw0e9u9Fk0/U1Ty1bZDMWxyPc4r0uO4MjuF3tOwd1dD85I+ZpUJTasikNvYgBgoCg5AqPzPIjZAI0wu2Nfn8sBznA7+TIucKCGLAFiAchPBxs0nbW68n5D9u73t5evqeb6domoxabPpurJCtoQxhmNzGemDx82eMg/iPWmaHo960N5o94sLW6/cc3EYxnkYBOcf1BHUGvTVy8EqwqXhYJCy+afMIQ5Vc/dMiZ+XqmAR87AihiQQZASVeR5GUsFkJU54Jztl4zk5JBJ2jApywcXza76+j7oFXatpt+XY8u0fS7kwX2j3hg8lSwSRriMDI645/Gk03Srt7C70a8WPgb4WEyHPcYwfxr0y4HlW7NJJKCFSLe6nOT8zNwDyvCEAHII2qTzUVzc7kuidscah58rG3yjcF2gggYWQLj5iME5LltgUsInd33s/muoKttoc/8M9CutVu7S1uipt4GMrgEN8gPAP1PT2INfQdcZ8ONHew0SS/nGLi/bzG+nOD+OT+GK7OrwtNKLn/M7/5f5/MVaTbUewUUUV1mAUUUUAed+JTjx1YlVLzCZDCmzcGkEbFQR6Z5z2xntV6xa282HEcxj8/92XtgpN18u5Gwei44H3RtPPyCqHinyz40tElZ0ieRA8qHDRARsd49CMZz2684xVqwu7UTRymJ4zIApUEARxqECzjngnC5H3hgZHyNnkw7S57/AMz/AEN6q+H0Rqo9p+72wH/j4AT9xj/SBtynXoMe4Gzr8ozWultJIIjHFgpdAxqYMB7nAHlnn7vbuPl6/KKkTULA7ceYMkAcgbU+X9/yevT39Rw1V7vULE267Rt5HzOMiNABi54OQ33e+7jsQa6eZdzGzEsEUSnbaRANIzlnQDZdnbmHOfujP/jpweBWgEXj/R4B+83c44uT/wAszz05/wDHT7Vl2N/Z+cSLmJGMWQnln94mVxc9cBjge/FXheWy4/0mI7YwP9UeRx++69eOnXj6Ucy7hZkwRTjFvAP3m7kji5P/ACzPPTn/AMdPtVO9RiU2wRKBJuTaFJN4c4jPP3ORnp064qYXluuP9JiO2MD/AFR5HH77r146dePpVO7nhZ0aO4jciLyiPKOAhxm4xn74wOOvFHMu4WZYso7gicQo6oJGeYxqg/0nnMQ55TkDnHTrycWzHfHO4TjOZXxsOJucRD1Tkc8A+vzHGXZsu1sTwfJGIVD5XfHg/wCkkZ5f8jwRkbhVo7Vzi5tW2qYRulJ3Ic/6QeeXH5nnn5hg5l3CzK+oRXryShxdKrKJJGRFfZP8+2AeqHePrnk/OcVPDXmnxxfmdXjuGdmmjbH7t2jQlRjggZ4Pfr3p988aSE+ZaStGhiSNpifNQ7s3Lc/My89eT83I3riDwoIx4xu1ikE0akqs4cv5wEafOWPUnue56cYrmxDT5LfzL9Taivi9GeiUUUV1mAUUUUAFeV3ZEXinVU81xtuPMVQ23DE5yh6LIcEB2+QDO7rXqleXa44tPGWpfKcSPEhwmVfeoyjDIDAgn5DwxxyMVzVv4lN+b/JmsPhl6fqQCR2mWNSgCu6RIp8sgkEvsX+AnneG/wBZn5OtJK0TQsV2sFUh9rHbtIRggQc+XlifKPzqcFjjmk+07oo/KIilk+cqMuz7Af4mGWVcng/NHt+QOajVpvlaSdHgXA5bBQFARwTlD05GN3/LYLXSZE7SrKZJ3kkExbOEnG8hSCuWUbNyhiqSZx8u1QzUwXj2sJRkjkQoxyznZgEiQhQQRgEiRc7hwz4AFRgugYutsAOWzFnIJ+7tA6EZyvBA+ZNq80RQtDOsSQRPunjh85mGWkVRsIJGGLoeDja4GMOctQAzbI6lYVn85QFTymBbzAQYsEcF1T7pwA6H5APvU5lLXJiMbPF5rosZl4lBO7YowflJUlB13A58xukP2uFMfIr2ol2NGrYjMZAwp5JI3LkMc7SCCW4xFcOs0Dy3UrMWZjtyBvV+pydyktxkHOCN3zKTtALCXJZYJGWeUvIZVMQ5uGYkfd5JD4KMDn5gM+YMqKdrpzanqtlp0MrPcTOxmZgp2RjgcjpwGB6kleuDtEty2JHRTttppGeFmPysxJBV2Y4U4wr9fm2MSVIYdT8N9Nd21DXJwxe5kKRu+NzAdWPucLk+uc561z1/eSp/zfl1/wAvma09Hzdv6R30caRRrHGoVFAVVHQAU6iiugyCiiigAooooA8q+Is89vqVzLbMyyrFgY942GP1rnP+Ek1bQfDyNd6hI9yVAjj4AXjgcdhXWeNpY4fEEksxAjRNzE+0ZryyFZvFeumR8raRH8l9Pqa8Zt887u0U22/u0PRsuWNtZNJL/M6XQfEWvvZy6jqerTfZwDsU4GffpVfS/FHiPWtXdo9RnhskOSvHTsOnU1k65evqN5Fo2nD90hCkL0JH9BVrVLmLw7pCabaN/pMgy7DqM9T9fSnz1H/insuy7i5YL/DHd932LWr+LNX1HU103T7yRkztY8EMeufoMVc13xdqul2sVpDqM0l4wG5+Mj3xjvWVptvF4d0h9Ruh/pUowqnqPQf41X0Kya/updZ1A/ukJYFuhP8AgKftEvev7sf/ACZhyX0t70vwR0SeJdZ0vQzdajqU0lw/KIcDB7DgVV8Pa5rki3GoXepSx2xJcjgBmwBnp6AVhO03inXAq5W1jP5L/ial16+86SLRNOHyKQrBe59KP3j9xv3pav8AuoPc+K2i0XmzSs/FfiLWdZZbXUp4bRTk4A4H5dTS6z4z1p9SjsNLv5t4O1mGDk/lVS9mj8M6MtpAQbyYfM3cepqPR7WPRdNk1a9H75x8inrz/U0e1f8AEW20V3fdh7NfA992+3ka2ueK9U0vSktG1KWa8lXDNkcDua6j4by3E9/A90zGbyADu64CKB+mK830ezk1rUZdVv8A/URnPPQkdvoK9N8Azx3WuGeI5jdSV+mxRU8zUo027tNNvzfQLXTmtFZ29O56dRRRXsnnhRRRQAV5t4luzpvjG7kWdYxPAqyLgZZdv4kj5QDxjkZKgZr0muN1/wAP3uqeJS9uqJE1quZnyAGDHgY6noef16VhWTbi10f6M0pvf0/yOXgDR24UKsjExBS+WYFgdmAOSQCcdwP9VwC1NiyYopJIniDKojBCEkBgWIOSDnkbhuXkZBYlq6BfAN40UUJ1C2ijjYkKsBf+bDPHBB4JwSDgAW18CsxButRW4zI8jboW+bd2JLkkjpknJBwcgADW/kRY4qV4iVk2hT57qQcALuOQcAEjkA4+YjkgyD5VR2YzzxSq2zeGxyS2Tu91wRhuD82Awzj5e3Hw/t5BILjVLx/M/wBZtCfNzkZ3A5wRnHTPOKtx+CbFLiCdr2+klhjMYZmQblJJIYBADknJ9TyeeaLvsB528qvcTRTSgi4YMr98n+IcnJOOQSQ2Oedr0kplKRzMnlFyYzc27lkk3Z5Pc/LnIPLDII3oc+jjwPohIMkM0nJJzOwBzjOQpHHA4/xOZbfwZoFsWMdhywKsXmkfIJBIO5j1wPyHpT1DQ8ukjnleOG32SXU8ghXEkcu4nHzbQPl4JG7nIK9MGvZtPso9O063s4vuQoEBxjOOp/HrVC38LaPaalb39tZRwzwIyLsGAQfX6c4+prYrOMXzuUvRf16lNrlSQUUUVqQFFFFABRRRQB5N8SLea61OeGAAu6gYJ6jyzXEXVxF4c0gaeny3Mo5aI7j7k5x+FegePLpbHWp7lhkRx7sev7s15nodk+sahLq+of6hDuGehI7fQV4kvim5/Am36vSyPSjtFR+Jr7kW9Jt4/D+ntqV4gDyL8uWy/PQYx3+tQaRZtqV9JrFyN0KNuzK20E/TB4FQ3Ms3irXFghJFpEevovdqs+IL4KsWhaavAwrhe/ov+NVablZ/HLf+7EV42v8AZW3myO5kbxRrCx2+8wR/3vlAHc555P0qfW75Hji0SzVgy4Vli5BPYZ4/lUs7xeFdDEMZBvpxyff1+gqPQ7SPS7GTWr/PmMMoD157/U1PNFJTS91aRXd9x2d+V7vVvsuxLJLF4Z0j7McLdTD70Z3H6nIGKi0e1TSLV9XvUHzDK7m+b8sdT9araVay6/qsmo3n/HvGc89OOg+lN1G5l8Sawlla5FtGcAjpju1Vy6um35zf6C5tpJeUV+o/T7V9b1OTUpgWgjOT5rbR9Oh4FJqE58S6rHaWu8xRnGDwoHc55/lU2vXqWNtHomn/AHiAH29fp9TUo8rwroe44N9OPyP+Apcz0mlq9Iry7sdlrFvRayf6EOtX0VtaR6JahlkwFYRfNn2zx/Ku++GVtPZ6glvPt3IhAC9hsXr715/oFkttDLrmonnlk3fzr0X4c3f27VEuSNvmITj/AICKS92UYR1SkrvuweqcpbtOy8j1KiiivbPNCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAPLfiDaC+1ia23bfMjAJ9PkNec+IL9YYotC00ccK+3v7V65rdguq+OYrJndVkjIdkAJVTEwzyCO459SK1Y/A2kxsrLBal16ObC3LfUkpkn3ryqdFzqSm9Um7Lz7ndKoowUerS+48XkaLwpoYjXBv5xyff/AVFoFkmnWcuuaifnIJj3dee/wBTXt8vgnTJmDSw2khHAL6fbn/2SlfwZp8iCN47VkHRWsLcj8tlV9Wm4NPeT1fddl2F7aPMn0W3+Z4NplvL4i1eTULzi2jPQnj2Wl1O6l8RavHYWfFtGcZHT3avdJPA2mvb+QqwRRlgxEVlAucEHsnfHPtT4/BOmQkmKG0jJ6ldPtx/7JWnsJc3MlsrRXREe1XLy99/M8R129TTrOPRNP8AvkAOV689vqakiEXhbRDI2030w6eh/wDrV7SfBGlmTzDDZmTOd39nW+c/XZTP+EE0xnkaRLeUu2795Y27beAMDKcDjp9aj6q+VQe2782V7dczkt9l5HiWgWSxRy65qJ4GWTd3PrVa0hm8Ua21zPkWsZ5HoOwr3tvBmnvH5bJamP8AunT7fH5bKI/BenRKVjjtUU9Qun24B/8AHKp0Kl5T+09F5IXtYWUei382eC61eyazqMWk2H+ojO3joSO/0Fem/Dy1Wy1dLdDlUjIB9fkWuoPgTS9kixx20TOpUvFp9urDPoRH1rM8P6auk+N7iyjZ3jijARmUDI8pB2AH4+tZzpOn7OK2TX39ylUU+ZvezO8ooor1DiCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//Z", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "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": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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", 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "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": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-15.1, 0.0, 0.0])", "action": "('rotate', [-15.1, 0.0, 0.0])", "reward": 0.0, "image": 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "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": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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", 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", 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cuH+3/if6G1X7Poi0tvnG2ayXMYZf3zNsk+XNz759e/GW+dsVbuEqkIje33SABPLuH/dyED/Sj/eHfn67sscXhHC339QD7sCThTvh4xb+55HqTu7b+K92Ujt9x1CFwf8AXGRwu+3wD5APduR7/MTxurpZiU7aF2m+WaMRbSmz7Y/zSAgm7/2l/wABzzV5rd/nyVGWwf8AS34cf8vHXp8p4/2etU7Q2wnAaW1YiDaN8owtpxi3I/v8D8zVxXtPlw9hzHtGZP8Al14/c/Xp+vvTAGt3O/JUZbB/0t+HH/Lx16fKeP8AZ61TvoysoMjR7d3zJ9odijjP+l9fujb3/u9auK9p8uHsOY9ozJ/y68fufr0/X3qpdS2u5EX7HnyT83mYDWgwPs/+8eOPr70ALZuIopc7Q/mjdhncSOAwF0cn7vy/T5TySFq48xXzMsDibByjfNJ83+kdfujb04HynHRaradOro/lLCf3AkQrN/qrYDiBvRv5ZJzwM3fMY/diVcwGVcy42W/P7o+jHH4c8/KMgGXfTrHcSlmUpv2zR7XBlf58XPHRF29uPlPomYfC7u/jW+8yQSusjq04GBMQijeB7/l6cYq7ctO06rGGiLwGSIiYKI7YA5iI/vn8QMHB+Tmn4Xbf4wuJArpG43RxO25ok8tNqE+oHUc4PGTjNcmJ+x/iX6m9H7Xoz0GiiiuswCvHfGtumgeMxqTlUtmYXBEsPmRtnnDKOSN4z7HB7A17FXD/ABM003Oiw3qKPMt32lsdA3Q/mAPx/Pkxa9xTW8Xf/P8AA3oP3uV9dDCeyZohazWE9u7t9ovlRWMlhEGIHlyKcshU42DoAxwPu1IftEhjuFt4J7q7Uw2NosQ8m8QKSZ0+bEb/AChjyAAAOp3Vn2LW97pqwrE1urRG4vysaBreIrt2wEnDR4wCjZ+VDwSQDfRWluCVhX7dqEYuDCvlhRAp3F4st8soKnKnALHnhcjqTTV0YtWFw+6GRLiZ7e2kZYLqa1ffez5VlglBILfMWweAW6YK4Mn2YD7QtwhgHytqIG5pNNG92VUKnLIwY9OMZbBBIWu0iGa3CJA6zZtbGOUxpHchVMbG4HGJArDBC9CB1bbT1nEQh8uZ3tYJAIfOMZnmuCVfZPhsGPg4YdMZzhQWGIkW3uJGLLpsK3pg/cWCWoVTD5ePtKrn5HyQu3IIAC9SCZIocwQiN/tdukpFjMqEtqUgYHZMQTgBh1PHBOFC4MNxHHFDNFcRvHDGx+2FI45JbeTDqEth3j5PGDgMeAWbbNNLO5k+0Rxx3RRHuoI2Uwww/IQ8GG/1hAHGc5BxnC7mBKpwjNcEQwMyi+uEUj+zpQzOIoyDnqwGR/ez/EAITbzxvGZbOKO6jg23VqYsQxQiMr55OWXfgkAdSMr2JpqMxlijt4onvI7fzbWGbyhHPCPMBkmGcCQHeenU+7bUt57aZrWC1aSVpGLWfnhDJO4KBkn5ykeQFAx0AHZQwAiWMMsqRLa+bGFD6dI8YMmrgkFxKeMrhBknggq3QbSwpAivM/8Ao8N0Vi+0xWxZ7S5LO/kwKDkHJHIH3gf7wxFNLHIGLyzRRXMvlSyRIjTw3A3vti5wsW4g7hwc5yASRYnkWGe6eW3jglRki1CGGJZEhU7VDW68bn2rycErgjGV20AGy6hVHezhS5tdkF5bGMNDaR4wLhhnEj4YkDngkfw5MDWXmzwafbwTy3EYSeyWbcZr2E4UtcOD8sYVdu0kZ+XgfdIoMLu0Qjlv9OiMv7zZMskTfMHmO7558spC5HPIOGzVK9ls49NmgimWSNYxd2e7YHmQBV8ucdVQgbVTA3AgdVICbSV2NK+hL4Ntotc8byaggUwK5uCFjMYDd8L1H7w555xXr1cR8MtN+y6DJdsBvuHCjGPur/Lkn8hXb1yYNe46j3k7/wCX4G1d+9yrpoFFFFdhgeeeJS48cWQhbZcNKqwyE4CSGNgpPtk9O+cd6u2Me6WLE8wQSkxgyq5F2dpaRvVDvPA4wxwBuXFHxSsDeLo/tbBbMKTck44i8l9xH0HPHPpzir1pBAJyJpIlkFiBcbdoxacbGG0cNwc444PYJXLh/t/4n+htV+z6IvpCPk23M/8ArvlyV/4+eMucfwHJ46fMcDlcVbtY444Cbi4ZjdAQjCH/AEwgYc+iEk+3zHjG3FxoLQb9zouLQK+CBttezDA4bjt6ey1BeRxRRkxgFvswWXZtyln/AHx0+bjt37cCuoxK1jIyyMEnnKec0ch8tD/pxxlxx9w569Pmq8JumLiY4m8oYhX/AI+f+enT7hyOenzCq1qgS4IC3HmparGm0KM2fQP/AL5x0HoOBV4iYbuLs4i8v7y/8e/9/wD3uvvQBEJumJ5jibyhiBf+Pn/np0+4cjnp81U72dwUxPKy+d5SYRVxeckS9P8AV9MnkfMOK0SJhu4u+IhH95ebf+//AL3X3qlfiUOQguN4g2SZZP8Ajz/ib/e9O/TigBLSeRROQS6iXY+SPmu+cSLwcIeD3A9BtObLXE67tyodr7HxxuuucOOD8nA55x3+61Q2hvFDbDKCEVYsrG2bMA4Y/wC16Z9uPvVaZ77nY0nfZ+7T/j2555/i6Yz/ALOV+9QBlX8kgeYSqpj3KkxVwubwbtjrkHCZAyeg4z9181/DbyP44vvPC/aVdlnKnKmQIgJX29O+ODzmr1214boBc+cwIt90CH/ROd7HP8eDwD/s5HL1Q8MMreMbkxf6g58kldpMexdpI9xz6+vOa5MT9j/Ev1N6P2vRnoNFFFdZgFU9VsV1LSrqzbH76MqpPQN2P4HBq5RSaTVmNOzujw3Rike6yuVbyoLoSRW+7Y088g2II2xhJB83G4BsZx8r520iLPc/bES4iuHDXo8t0+0XAcPHBtCjypRubkH5iVzknin4psjo3juSRCsUdyjkSOnmLGJB8zsmDuAw4wOffGam+V3UpEqMqOIvNTzwsLbt0shMf7+E5bk4ZcnP3mxzYVv2fK946fd/wLGtZe9dddSwzNm7mncrO6CO+nZS21OMWkgVQBJ8uA44OePvKC8wtF5ga5e2nht/IlncMTpsA3bYZMqQ+4EYY8jO7kAbq8aKFhzGCYsmEzgz7Yyfnnk+QedEcyYJwV3HpnKSxbUlg8t9rIGkh3qHZV43Tv8AJ+8gyCQPvA4xt48vpMSWMeROjL5mn/Z/mhWSMs+lIzZZpOPnV88Bs46kjaSsccDx24g+zmOOBhNDAGJ8jhcXrMR8yEg/JyOowedhGUVLYoAVTEsOfn8sDbmcnaC9v8hITOeB0wvlvWPCqPLACj7Qvy5I4ANxnYM2/A+TA9MYAAYDZYi9s8JtZJo5h58sC7i1wx3brxSBnZk/cGM8cZYbpJSZr2ZXSTUFu9skqpkNqq5Ox48DEaxhVzg5IC5/hLMaIMrDaRuHnn5OvBH2j7n/AB78n937kEYJBbLGGhlWRQquGuXKjABIfNyuUOyDLHK85BOc/MHAHwl3McsU0l1cmHyoZ4U41CMbcwxcYQKFIZyB1PrkQRvKsVlLp5Z3VCbG4QNho8fNaR5XJk+dsyEA/KScbWCunAkkmMicTR+ZceWfLOwFityh2kxwZIJAJJ54Pzb0YgSO9wOHCtOyBYz5QJKXKYX93DkJkD5iR32/OAOQbI4IrF2tre3J+xS7GkS0n3lmt1XB82Q9MnIXnHIGcbWpGaOPT1iaKGa6Mpt0kYiKdOJPMcqA7klW44X3yDWiZYU85p0RnyPtflFYlMIH7q4jGD5K/LFk/e4GPujLvDdk+q+OYzIFaKzA+aOMJGyKcowXAwGBTrk9eTxXJi2/Z8q3lp9//ANqKXPd9NT1DTLJdO0u2tF6RRhScYye5/OrdFFdUUopJGTd3dhRRRTEed+JTjx1YlVLzCZDCmzcGkEbFQR6Z5z2xntV6xa282HEcxj8/wDdl7YKTdfLuRsHouOB90bTz8gqh4p8s+NLRJWdInkQPKhw0QEbHePQjGc9uvOMVasLu1E0cpieMyAKVBAEcahAs454JwuR94YGR8jZ5MO0ue/8z/Q3qr4fRGqj2n7vbAf+PgBP3GP9IG3Kdegx7gbOvyjNa6W0kgiMcWCl0DGpgwHucAeWefu9u4+Xr8oqRNQsDtx5gyQByBtT5f3/ACevT39Rw1V7vULE267Rt5HzOMiNABi54OQ33e+7jsQa6eZdzGzEsEUSnbaRANIzlnQDZdnbmHOfujP/AI6cHgVoBF4/0eAfvN3OOLk/8szz05/8dPtWXY39n5xIuYkYxZCeWf3iZXFz1wGOB78VeF5bLj/SYjtjA/1R5HH77r146dePpRzLuFmTBFOMW8A/ebuSOLk/8szz05/8dPtVO9RiU2wRKBJuTaFJN4c4jPP3ORnp064qYXluuP8ASYjtjA/1R5HH77r146dePpVO7nhZ0aO4jciLyiPKOAhxm4xn74wOOvFHMu4WZYso7gicQo6oJGeYxqg/0nnMQ55TkDnHTrycWzHfHO4TjOZXxsOJucRD1Tkc8A+vzHGXZsu1sTwfJGIVD5XfHg/6SRnl/wAjwRkbhVo7Vzi5tW2qYRulJ3Ic/wCkHnlx+Z55+YYOZdwsyvqEV68kocXSqyiSRkRX2T/PtgHqh3j655PznFTw15p8cX5nV47hnZpo2x+7do0JUY4IGeD3696ffPGkhPmWkrRoYkjaYnzUO7Ny3PzMvPXk/NyN64g8KCMeMbtYpBNGpKrOHL+cBGnzlj1J7nuenGK5sQ0+S38y/U2or4vRnolFFFdZgFFFFAHAfFLSludKtr7yfN8l9rpuI3DqORyORjI5571y0E6XkEdy8YumuGWSbbhDPICApG3JjRf3n7xPlI+8ua9Z1uwGqaLeWRGTLGQo4+8OV6+4FfPpN3Z30XkskVpFGyyEuwZGy2QBkFcqRnsSPXNcM6ioVJOWzV/mtP8AI6IxdSKS3R20cf3hI0M7lw87vGqLJMDt3uA37lVJP7xPkfHPJG6QSCUMEWaVpT5sfmHyzKxUsHfBxEBvAUfcbHfrXmcWvXuravixjjFrCNjTSbjhck7RzwuSTt6c5xTpfEd9d6h9g0gCSMALNJI7spUEEA/NyoKjA6VX1qN7NdLvy9Rexe9z0h5mYSlG80bWfJKDzJSX2yMMjyz02xMQr89wcSGMLLKCSCp3PmPBBBbMmC2Eb5Ri3wVPHGGYDza+8TXrXMWnaaxuLtRskl3sdo+pJzjPGc4p2oeJru2C2cZF5qch3MAXKq3PzY3feAJAPUA9hSWLi7ab/l3fZA6L11PRl2yOmwh98q8RAEA5X5sZJMmMZgBwByR83zRkRKry/ZwoWRJC6BJNso8vEw5/eHjBi4CY5HSvP7jxPfaZbRRXEpm1M8xRQO4MZ45yGyDx161Gmu3Wk2JbUmTzpP8AVWsOQV64xg/L1xxj8aFi4tXS328/Ty89h+wfc9BH8HkkJsl89PKiFwYpQBmWNt2JjlOTnZFjHO2g7IIoWjdYpVn8xfLVXEM38MgJOHV/KALt8qZ4x24FPEWowW5vNZlWGNlZYrYO5Yqckrjd907jlehzzTbbxBqSxyXd6yWWnP0hZnLSDIOMbumVHHT2o+tx7f8ABfZd/kL2DO9N6YYTJbKyJCWlieL98Ld+5XqGV8D96/AydueNvSfDHTvL0y51J49j3MmFBycDqcE9ck/mteRWWpX+s3DSvbvHZOBEjOWZpm4A3ZOThVIGc4wMdsfRej2A0zR7WzAGYowGx0LdWP5k0oy9tWXaKv8AN6f5ja5IPzL1FFFdxzhRRRQB5V8RZ57fUrmW2ZllWLAx7xsMfrXOf8JJq2g+Hka71CR7kqBHHwAvHA47Cus8bSxw+IJJZiBGibmJ9ozXlkKzeK9dMj5W0iP5L6fU14zb553doptt/doejZcsbayaSX+Z0ug+Itfezl1HU9Wm+zgHYpwM+/Sq+l+KPEetau7R6jPDZIcleOnYdOprJ1y9fUbyLRtOH7pCFIXoSP6CrWqXMXh3SE020b/SZBl2HUZ6n6+lPnqP/FPZdl3FywX+GO77vsWtX8WavqOprpun3kjJnax4IY9c/QYq5rvi7VdLtYrSHUZpLxgNz8ZHvjHesrTbeLw7pD6jdD/SpRhVPUeg/wAar6FZNf3Uus6gf3SEsC3Qn/AU/aJe9f3Y/wDkzDkvpb3pfgjok8S6zpehm61HUppLh+UQ4GD2HAqr4e1zXJFuNQu9SljtiS5HADNgDPT0ArCdpvFOuBVytrGfyX/E1Lr1950kWiacPkUhWC9z6UfvH7jfvS1f91B7nxW0Wi82aVn4r8RazrLLa6lPDaKcnAHA/LqaXWfGetPqUdhpd/NvB2swwcn8qqXs0fhnRltICDeTD5m7j1NR6Pax6LpsmrXo/fOPkU9ef6mj2r/iLbaK7vuw9mvge+7fbyNbXPFeqaXpSWjalLNeSrhmyOB3NdR8N5bie/ge6ZjN5AB3dcBFA/TFeb6PZya1qMuq3/8AqIznnoSO30Fem+AZ47rXDPEcxupK/TYoqeZqUabd2mm35voFrpzWis7enc9Oooor2TzwooooAK8E+JGgTjWr6zt5PIgkdbjlSFKnrg845JHp8vsBXvdeffFLSEutPtr4/LtJt5XDEHYwPp6fN+fQ1x4uL5Odbp/8A3oP3uV9Twxna8i/sjSAI4k4mmH3T/wL/wCtSo5aE6ToyhXH+vuByvv83H8q6mf4c+KPs0djY6a9tan/AFrk5kb/AD9aJ/h14mSFLGx057e0P+tl5Mj/AKVwKEtkvPX833fZHTzLv/XZf5nK27eQjaZpChrtv9ddDkD8eKLUizL2OmoJ9Rf/AFtyPmVfXk4xXVTfDrxMkS2Nhpz21of9bLgmR/0prfDzxOsKWdlpklpasMyyHmVvX2/Wj2cn037/AJv9IoOZLrt/Wn+Zy1rtsZ5ILVftmrPnfODuVPxOMUQbbO9dQP7Q1d/41O5Y/r0xXUy/DzxPDF9ksNMkt7bGZJV5lk/PAH51H/wgPilIxa2Wi3FpbH/WS8NK/wCuB+dDhJ7rf+tbbL+6vmw5l32/r+mzmkAt9QJuR/aWqN91UO5YvqOAPzoYBNQDX/8AxMb8/wCrgiOVj+o6frXS/wDCA+KY1+zWWjXFpbn/AFkvDTSfjnApB4B8Uxr9nstFuLWA/wCsl4aZ/wAc4FHJLt/Xy29Fr3Ycy7/1+vq/uNz4d6Ze33iO2+3NE4jP2kiMj5AOAv4ED/vr8a91rzv4T6X9m0m4vCpG8rChYgthRzngc/d+uOa9ErvwcLQcu/6aI5q8ryt2CiiiuwwCiiigDyb4kW811qc8MABd1AwT1HlmuIuriLw5pA09PluZRy0R3H3Jzj8K9A8eXS2OtT3LDIjj3Y9f3ZrzPQ7J9Y1CXV9Q/wBQh3DPQkdvoK8SXxTc/gTb9XpZHpR2io/E19yLek28fh/T21K8QB5F+XLZfnoMY7/WoNIs21K+k1i5G6FG3ZlbaCfpg8CobmWbxVriwQki0iPX0Xu1WfEF8FWLQtNXgYVwvf0X/GqtNys/jlv/AHYivG1/srbzZHcyN4o1hY7feYI/73ygDuc88n6VPrd8jxxaJZqwZcKyxcgnsM8fyqWd4vCuhiGMg3045Pv6/QVHodpHpdjJrV/nzGGUB689/qanmikppe6tIru+47O/K93q32XYlkli8M6R9mOFuph96M7j9TkDFRaPappFq+r3qD5hldzfN+WOp+tVtKtZdf1WTUbz/j3jOeenHQfSm6jcy+JNYSytci2jOAR0x3aq5dXTb85v9Bc20kvKK/Ufp9q+t6nJqUwLQRnJ81to+nQ8Ck1Cc+JdVjtLXeYozjB4UDuc8/yqbXr1LG2j0TT/ALxAD7ev0+pqUeV4V0PccG+nH5H/AAFLmek0tXpFeXdjstYt6LWT/Qh1q+itrSPRLUMsmArCL5s+2eP5V33wytp7PUEt59u5EIAXsNi9fevP9AsltoZdc1E88sm7+dei/Dm7+3aolyRt8xCcf8BFJe7KMI6pSV33YPVOUt2nZeR6lRRRXtnmhRRRQAVHNBFcxGKeJJYzjKOoYHByOD71JRQAUUUUAFFFFABRRRQAUUUUARwwQ20flwRRxJknaihRk9TgVJRRQAUUUUAFFFFAHlvxBtBfaxNbbtvmRgE+nyGvOfEF+sMUWhaaOOFfb39q9c1uwXVfHMVkzuqyRkOyAEqpiYZ5BHcc+pFasfgbSY2VlgtS69HNhblvqSUyT715VOi51JTeqTdl59zulUUYKPVpfceLyNF4U0MRrg3845Pv/gKi0CyTTrOXXNRPzkEx7uvPf6mvb5fBOmTMGlhtJCOAX0+3P/slK/gzT5EEbx2rIOitYW5H5bKr6tNwae8nq+67LsL20eZPotv8zwbTLeXxFq8moXnFtGehPHstLqd1L4i1eOws+LaM4yOnu1e6SeBtNe38hVgijLBiIrKBc4IPZO+Ofanx+CdMhJMUNpGT1K6fbj/2StPYS5uZLZWiuiI9quXl77+Z4jrt6mnWceiaf98gByvXnt9TUkQi8LaIZG2m+mHT0P8A9avaT4I0syeYYbMyZzu/s63zn67KZ/wgmmM8jSJbyl23fvLG3bbwBgZTgcdPrUfVXyqD23fmyvbrmclvsvI8S0CyWKOXXNRPAyybu59arWkM3ijW2uZ8i1jPI9B2Fe9t4M094/LZLUx/3Tp9vj8tlEfgvTolKxx2qKeoXT7cA/8AjlU6FS8p/aei8kL2sLKPRb+bPBdavZNZ1GLSbD/URnbx0JHf6CvTfh5arZauluhyqRkA+vyLXUHwJpeyRY47aJnUqXi0+3Vhn0Ij61meH9NXSfG9xZRs7xxRgIzKBkeUg7AD8fWs50nT9nFbJr7+5SqKfM3vZneUUUV6hxBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/Z", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "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": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "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": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 131.7, 0.0])", "action": "('rotate', [0.0, 131.7, 0.0])", "reward": 0.0, "image": 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IG9G/lknPAzd8xj92JVzAZVzLjZb8/uj6Mcfhzz8oyAZd9OsdxKWZSm/bNHtcGV/nxc8dEXb24+U+iZh8Lu7+Nb7zJBK6yOrTgYExCKN4Hv8Al6cYq7ctO06rGGiLwGSIiYKI7YA5iI/vn8QMHB+Tmn4Xbf4wuJArpG43RxO25ok8tNqE+oHUc4PGTjNcmJ+x/iX6m9H7Xoz0GiiiuswCvGfiJp11Y+IpXsiEN6AwZl4OSDjI9XUfnz617NXE/ErTftOiRX0YAltn++AcgHvkdMHH5/nxY2F6fPa/Lr/n+B0YeVp8vc8Dimg8XJ5M4ghukHBAIb8OeRUUWqXfh2b+zbtQ9ueA0ikgD255FaOuaHDfXcl7pDLBepiRoV+XG4Bhj04P0NVrTUrbW4TpWtR+VdrwshGDn+hrzvcaaSvBbrrHzXkdXvX1dpd+j8iG80Z9OC6xpzgqPnKw8hfpz0qeGWPxhbeVMIIriIZBAO4fT1FVYLi+8JXn2e6Bn0+Q8EDjHqPf2qTU9I2bdb0GTK/fZE7epH+FN6tc0tfsy/Ri72Xqv1RFZarc+Hro6ZcAGEnGZQcLnuOelP1TR30tk1ezbAzvIhGQv69KuRTWXi/T/JmAh1CMcH39R7e1U9J1SbRbptI1Zf3BOFLchf8AEUXldyirTXxR7rugsrJN+70fYuQyL4wsCkvkxyx+gO5T/gaoaXq0uhXjaXMuIy2P3vAU/wCBpNU0648O36anpxJtWOcDkD2PtWlf2tt4r0lby0wt3GOV75/un+lL92lbelL/AMlY/eb/AL6/FFDW9J/sqdNVgyoLbj5XRG/wrRjYeLtJIdYkdPQncrf4GqvhzVluIn0XUxlsFE39x/dPvWe63PhLXQ65a1c/99L6fUUcs5P2cn+8jrF90F4r3l8L3XZk2iaq+k3zaYVwrNj98cBW/wDr0viDSxpl2moqCDI2792OFarfibTY9Rsk1ew5YLltvcev1FXvDOpW2sacYNQQStaqZHQ/8tAoyB9TjH1NNT2rwW+kkLl3py9UzvPAFlcan4lhku1T/Q03EKCMFT0Oech2zzXslcT8M9PNvoMl7JzLcuBn1C/y5J/IV21d+Bhy0ub+bX/L8DmxErzt2Ciiiu45zzzxKXHjiyELbLhpVWGQnASQxsFJ9snp3zjvV2xj3SxYnmCCUmMGVXIuztLSN6od54HGGOANy4o+KVgbxdH9rYLZhSbknHEXkvuI+g5459OcVetIIBORNJEsgsQLjbtGLTjYw2jhuDnHHB7BK5cP9v8AxP8AQ2q/Z9EX0hHybbmf/XfLkr/x88Zc4/gOTx0+Y4HK4q3axxxwE3FwzG6AhGEP+mEDDn0Qkn2+Y8Y24uNBaDfudFxaBXwQNtr2YYHDcdvT2WoLyOKKMmMAt9mCy7NuUs/746fNx279uBXUYlaxkZZGCTzlPOaOQ+Wh/wBOOMuOPuHPXp81XhN0xcTHE3lDEK/8fP8Az06fcORz0+YVWtUCXBAW481LVY02hRmz6B/9846D0HAq8RMN3F2cReX95f8Aj3/v/wC9196AIhN0xPMcTeUMQL/x8/8APTp9w5HPT5qp3s7gpieVl87ykwiri85Il6f6vpk8j5hxWiRMN3F3xEI/vLzb/wB//e6+9Ur8ShyEFxvEGyTLJ/x5/wATf73p36cUAJaTyKJyCXUS7HyR813ziReDhDwe4HoNpzZa4nXduVDtfY+ON11zhxwfk4HPOO/3WqG0N4obYZQQirFlY2zZgHDH/a9M+3H3qtM99zsaTvs/dp/x7c88/wAXTGf9nK/eoAyr+SQPMJVUx7lSYq4XN4N2x1yDhMgZPQcZ+6+a/ht5H8cX3nhftKuyzlTlTIEQEr7enfHB5zV67a8N0AufOYEW+6BD/onO9jn+PB4B/wBnI5eqHhhlbxjcmL/UHPkkrtJj2LtJHuOfX15zXJifsf4l+pvR+16M9BooorrMAqpqdkuo6Xc2bY/fRlQT2PY/gcGrdFKSUk0+o07O6Pml9CubrXS1tK9vPZKWn/eKNsO4/NtP3sMzZx2A4zV/VvB0OtQRSLBMt6YBco0bpmSHGd45wRweM7hjp0z1Hie2GjeOT+5SWC7YSpCZPK8xznb+8/gO7dg9OmeOkrbWEqXMZukluPLu97CH7Xc5+6dv+pZQJPmX5W2nPOSPPw9GMknL4o6fd/wDpqzabS2epzdn4Ye40uGxvFmvhPG0kHKZdF3ZIbOMjb0+9yOOtVNA8Gz2F5F9kuJpba8ZhbxlkxPtYg7ScYI2n72CR2ODjr5JdySm98y6eadYbtifL+1TpyIyFP7ooVfEi4B2n0oEqyeeLpjI0riO8LJsNzIhGLdtv3Nuxh5owDt5z33+qUrSjbR7mftp3T7HE3ngVru9stQ0gSwPdy7YfnUB2BXdj0I3EYbAODz0zf1PwnDrNjClysomMv2aOddozPgfu8Hoee/y54znGes8ze07yZkeTbFcM/G8jaPsrYzgDYf34GOOvIyK6kBpNpfy/s/IyPLxj7IRyNuB/rwCOvJHDv6tD3X1jt3F7aWvmcpp3hl7LT5rO6eW6tkn+yndjKyEMfLx36DBHy/MMHHSjZ+CZNC1O6uUmlitoJfKnRmB2E5wrY6njjbu98du7aUHJDkN5Ztwz5JCYObU9fl5P78ZHuTguCfywjxMYmjVo4doyYc5zbD+8Dn/AF5yvHXkZPqtP3v724/bS08jiNf8DW9xeXF0ZZbOeyZPtbAriLdjYx9c/wCzk8HIGKuX3hY3+my2N/FMJreNZJZC0eYlO3EhGf8Aa6DLcHjpnphIscsLwfuWt5GitHQBjbO27MCg8PnK/vjxyCD0yxSI4rdLU/ZRbzlbVUAlFrKSd0K7vv7sj963yj5cfw0vqtO0Vr7uwe2lr5nL6N4Vl0eG5tnaeeJIPtTRsUBSIj72Ce/93ryOORnKtvDqaVrUjJDIi36q9qGdSGhyDv4JIywGM449c13jHcES0byWS5xaNjzfs10MN5YBP70sQn7xvlG/g4K4Z4XsF1Xx0WSIR21qxYxKd4jZcbstjDZYDkcenGKwxFGMYtx+KdkaUqjbV9o6nqmmWS6dpdtaL0ijCk4xk9z+dW6KK9CKUUkjmbu7sKKKKYjzvxKceOrEqpeYTIYU2bg0gjYqCPTPOe2M9qvWLW3mw4jmMfn/ALsvbBSbr5dyNg9FxwPujaefkFUPFPlnxpaJKzpE8iB5UOGiAjY7x6EYznt15xirVhd2omjlMTxmQBSoIAjjUIFnHPBOFyPvDAyPkbPJh2lz3/mf6G9VfD6I1Ue0/d7YD/x8AJ+4x/pA25Tr0GPcDZ1+UZrXS2kkERjiwUugY1MGA9zgDyzz93t3Hy9flFSJqFgduPMGSAOQNqfL+/5PXp7+o4aq93qFibddo28j5nGRGgAxc8HIb7vfdx2INdPMu5jZiWCKJTttIgGkZyzoBsuztzDnP3Rn/wAdODwK0Ai8f6PAP3m7nHFyf+WZ56c/+On2rLsb+z84kXMSMYshPLP7xMri564DHA9+KvC8tlx/pMR2xgf6o8jj99168dOvH0o5l3CzJginGLeAfvN3JHFyf+WZ56c/+On2qneoxKbYIlAk3JtCkm8OcRnn7nIz06dcVMLy3XH+kxHbGB/qjyOP33Xrx068fSqd3PCzo0dxG5EXlEeUcBDjNxjP3xgcdeKOZdwsyxZR3BE4hR1QSM8xjVB/pPOYhzynIHOOnXk4tmO+OdwnGcyvjYcTc4iHqnI54B9fmOMuzZdrYng+SMQqHyu+PB/0kjPL/keCMjcKtHaucXNq21TCN0pO5Dn/AEg88uPzPPPzDBzLuFmV9QivXklDi6VWUSSMiK+yf59sA9UO8fXPJ+c4qeGvNPji/M6vHcM7NNG2P3btGhKjHBAzwe/XvT7540kJ8y0laNDEkbTE+ah3ZuW5+Zl568n5uRvXEHhQRjxjdrFIJo1JVZw5fzgI0+csepPc9z04xXNiGnyW/mX6m1FfF6M9EooorrMAooooA4L4oafJJpNvqMBYS277SVPODyMfiO3r0Nc1YtFdIvlM0ZaFUikgztgjckCKMEnbLIM5jY45XaRxXqms2A1TRruyIz5sZA4B+bqOvuBXjWlzLEjQXSl1s2ZeYVdolbsCersWZQsgK8nDKRg8sfcrtdJK/wA1o/0Nn71NPsba7lGfJmtiqrAiQ+ZmEHB+zxqSN5JJLRt2A2nhcNzch4wiyHaGgjW0Ej5jIz5MGWHmJgr5iscoUbaBtXbAGHmpabGj2+XbeXHCbjynJyYl3MCWyxLZO5VX5WPUO3QtL5gWJkdDgwBirJESSgYc+WoUKZMCQZOQRxXUYlpZZVjjfKsDGY4/s5fDJ82YoiSD9nGPmyAy9j8q4c9w5DFI2IVGB2kkGEE5jXB5tcj7/YkDgYFU5gqW7R3DeaG2SMTGUVkOAjttJ2JywDLy/wDGPWwdyXYTbMGkkJljMKiQzkMV3KDsWX+7Hko4wTzxQA8Gd/LJaNA0QG15GXERKgIxzxa88N945GRwQYm3RxtK/LLEsR8xHASL5cRy4Y7YCc7OdzYOd3zZBEq3aJAwMhkZ0kit97K4ZQ7DJAaQKAGjPypjIzioXfdbCaMlFSLzEIQtGqkHLBifnTjDO5+QsNv8NAE0sQikaIwzqyxJb/6RIy/u8A+TMN3yLhfk25ZtvJ5+ZkqF18tfOmBUW2bgy/vMH5YZQh4kUqNsanLAguRuNNeO3hQiSEQwxnbgxbFRGbIQtz+7beCsh/eMd2AoBFIbZlI82yEjnEKRSoQWwBmAkE7ZAQuMEM/BZgKAIXYRI08vnPB5Y3+cH3Toh5icCUZdcIRGmAc/MTzjqfhjYOul3GpzjMty+0HGOBySPYk9P9muE1OI+SFIZzdMig+UELqpIDZU4VwAqtGoxwCWJwo9p0ewGmaPa2YAzFGA2Ohbqx/MmuWS566X8qv83ovwubL3abfcvUUUV1GIUUUUAeVfEWee31K5ltmZZViwMe8bDH61zn/CSatoPh5Gu9Qke5KgRx8ALxwOOwrrPG0scPiCSWYgRom5ifaM15ZCs3ivXTI+VtIj+S+n1NeM2+ed3aKbbf3aHo2XLG2smkl/mdLoPiLX3s5dR1PVpvs4B2KcDPv0qvpfijxHrWru0eozw2SHJXjp2HTqaydcvX1G8i0bTh+6QhSF6Ej+gq1qlzF4d0hNNtG/0mQZdh1Gep+vpT56j/xT2XZdxcsF/hju+77FrV/Fmr6jqa6bp95IyZ2seCGPXP0GKua74u1XS7WK0h1GaS8YDc/GR74x3rK023i8O6Q+o3Q/0qUYVT1HoP8AGq+hWTX91LrOoH90hLAt0J/wFP2iXvX92P8A5Mw5L6W96X4I6JPEus6XoZutR1KaS4flEOBg9hwKq+Htc1yRbjULvUpY7YkuRwAzYAz09AKwnabxTrgVcraxn8l/xNS69fedJFomnD5FIVgvc+lH7x+4370tX/dQe58VtFovNmlZ+K/EWs6yy2upTw2inJwBwPy6ml1nxnrT6lHYaXfzbwdrMMHJ/Kql7NH4Z0ZbSAg3kw+Zu49TUej2sei6bJq16P3zj5FPXn+po9q/4i22iu77sPZr4Hvu328jW1zxXqml6Ulo2pSzXkq4ZsjgdzXUfDeW4nv4HumYzeQAd3XARQP0xXm+j2cmtajLqt//AKiM556Ejt9BXpvgGeO61wzxHMbqSv02KKnmalGm3dppt+b6Ba6c1orO3p3PTqKKK9k88KKKKACvItdtZdF8czpB5irchpIQihfvDLBTgkE7dmcHA3cHoPXa4H4m6aZbex1FFBMUnlPlcjB6ZHcdcjBznHeubEaKNTs/wejNaWt49zl45CHcWis8BgYFwcJIob7oyTti3OcsMq7KeUNPVGhSK1U3Tyo6o+1T97O2MHnJIUkpGCGAGQzjApv9mar87/2ZqQZlJU/ZpS4ZWCp7BuSRk4Vf4v4atNY3MIU2+k3e1UKpmxnOBuweNg4OScdXyCwXG6t+ZGdmOLv5K3m+WMpK0itHLkvljvk3dCQFG6UDaASGQ4zTYQZxFGieUzxeX5JzsZWVm8vqQu4k/J8xkAyrKDURsNTgWaOCx1Ig8KfsUvG0YX/gQ5PfaPuM54qwlldmIwNpl9wWClLSbaBt9SuWB6c/e/jCHBo5kFmV/MFxHIJvMEYXygNoYOUVSA6g8hMZx8pixliw6unlkBiebzBtkF1JIJQQrZTa+44w21vllxtbJUJk1INK1KWcMbK8VCqqjSW0p2fLwMbeQvTp8pxtDAZDzZ6jJMsgsLxMjeoNnOGXfw6jAIViFHU7WB+coeKOZBZkCxySSRAQSOyyOgjt8rIjHiXavU4Vl3xj5iFzuXGKpGKOS0AQhT5RiRmOYXiJACtghfK8zowwFOc+Zk5sx6XeELt07UY1UR4H2KZV2kEEYC5wpOemVIG0MMNTX0zUTLNO2lXzSMzzAG0lJ8zI54GN33iecMGPzZ+UHMgsx/hq0XV/HEGUnQWxMkyTN86lOFVlx94YCnoCMYAAFew1wnw1sVFpe6nkMJ5SkbA5BQehwDjoOg6Cu7rDD6qVTu/wWiNKmlo9gooorpMgooooA8m+JFvNdanPDAAXdQME9R5ZriLq4i8OaQNPT5bmUctEdx9yc4/CvQPHl0tjrU9ywyI492PX92a8z0OyfWNQl1fUP9Qh3DPQkdvoK8SXxTc/gTb9XpZHpR2io/E19yLek28fh/T21K8QB5F+XLZfnoMY7/WoNIs21K+k1i5G6FG3ZlbaCfpg8CobmWbxVriwQki0iPX0Xu1WfEF8FWLQtNXgYVwvf0X/ABqrTcrP45b/AN2Irxtf7K282R3MjeKNYWO33mCP+98oA7nPPJ+lT63fI8cWiWasGXCssXIJ7DPH8qlneLwroYhjIN9OOT7+v0FR6HaR6XYya1f58xhlAevPf6mp5opKaXurSK7vuOzvyvd6t9l2JZJYvDOkfZjhbqYfejO4/U5AxUWj2qaRavq96g+YZXc3zfljqfrVbSrWXX9Vk1G8/wCPeM556cdB9KbqNzL4k1hLK1yLaM4BHTHdqrl1dNvzm/0FzbSS8or9R+n2r63qcmpTAtBGcnzW2j6dDwKTUJz4l1WO0td5ijOMHhQO5zz/ACqbXr1LG2j0TT/vEAPt6/T6mpR5XhXQ9xwb6cfkf8BS5npNLV6RXl3Y7LWLei1k/wBCHWr6K2tI9EtQyyYCsIvmz7Z4/lXffDK2ns9QS3n27kQgBew2L1968/0CyW2hl1zUTzyybv516L8Obv7dqiXJG3zEJx/wEUl7sowjqlJXfdg9U5S3adl5HqVFFFe2eaFFFFABUc0EVxEYp4kljOMo6hgcHI4PvUlFABRRRQAUUUUAFFFFABRRRQBHDBDbx+XBEkSZJ2ooUZPU4FSUUUAFFFFABRRRQB5b8QbQX2sTW27b5kYBPp8hrznxBfrDFFoWmjjhX29/avXNbsF1XxzFZM7qskZDsgBKqYmGeQR3HPqRWrH4G0mNlZYLUuvRzYW5b6klMk+9eVToudSU3qk3Zefc7pVFGCj1aX3Hi8jReFNDEa4N/OOT7/4CotAsk06zl1zUT85BMe7rz3+pr2+XwTpkzBpYbSQjgF9Ptz/7JSv4M0+RBG8dqyDorWFuR+Wyq+rTcGnvJ6vuuy7C9tHmT6Lb/M8G0y3l8RavJqF5xbRnoTx7LS6ndS+ItXjsLPi2jOMjp7tXukngbTXt/IVYIoywYiKygXOCD2Tvjn2p8fgnTISTFDaRk9Sun24/9krT2EubmS2VoroiParl5e+/meI67epp1nHomn/fIAcr157fU1JEIvC2iGRtpvph09D/APWr2k+CNLMnmGGzMmc7v7Ot85+uymf8IJpjPI0iW8pdt37yxt228AYGU4HHT61H1V8qg9t35sr265nJb7LyPEtAslijl1zUTwMsm7ufWq1pDN4o1trmfItYzyPQdhXvbeDNPePy2S1Mf906fb4/LZRH4L06JSscdqinqF0+3AP/AI5VOhUvKf2novJC9rCyj0W/mzwXWr2TWdRi0mw/1EZ28dCR3+gr034eWq2WrpbocqkZAPr8i11B8CaXskWOO2iZ1Kl4tPt1YZ9CI+tZnh/TV0nxvcWUbO8cUYCMygZHlIOwA/H1rOdJ0/ZxWya+/uUqinzN72Z3lFFFeocQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/2Q==", 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", 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", "info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "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: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "7bdc6d95ffc7d8e0686f470ee84248ecab8113e74586aa8208b455046fdad094"} +{"episode": 9794, "episode_seed": 1856063332, "split": "train", "timestamp": "2025-10-24T06:49:34.200834", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 1856063332, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -12.1])", "action": "('rotate', [0.0, 0.0, -12.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [8.1, 0.0, 0.0])", "action": "('rotate', [8.1, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -66.4, 0.0])", "action": "('rotate', [0.0, -66.4, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "62ae8f1bfb74d9c53c2c26f42b01e1f36fd42ba0467924771ca7baa9946b9be8"} +{"episode": 9795, "episode_seed": 3066695320, "split": "train", "timestamp": "2025-10-24T06:49:35.213883", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3066695320, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 128.2])", "action": "('rotate', [0.0, 0.0, 128.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [42.9, 0.0, 0.0])", "action": "('rotate', [42.9, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 29.9, 0.0])", "action": "('rotate', [0.0, 29.9, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.08 degrees."}, "think": ""}], "extra_state": null, "hash": "b964874d09fabe8229e04b47ceda41ce703c50a63a3bf1ca99a9e9a1d94d79a0"} +{"episode": 9796, "episode_seed": 2219518096, "split": "train", "timestamp": "2025-10-24T06:49:38.675044", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 2219518096, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -84.0])", "action": "('rotate', [0.0, 0.0, -84.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [47.2, 0.0, 0.0])", "action": "('rotate', [47.2, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 110.3, 0.0])", "action": "('rotate', [0.0, 110.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "4233a29f7a3c2d5da3806db661df322d165e3d5e2e5afe7038eb42d86b49ba68"} +{"episode": 9797, "episode_seed": 3777287944, "split": "train", "timestamp": "2025-10-24T06:49:41.372796", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3777287944, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, 18.9])", "action": "('rotate', [0.0, 0.0, 18.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [49.7, 0.0, 0.0])", "action": "('rotate', [49.7, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, 71.3, 0.0])", "action": "('rotate', [0.0, 71.3, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.09 degrees."}, "think": ""}], "extra_state": null, "hash": "433f384fcf37437916b25d4e0930c2cccd9af762e8cb708b8aa8f1753fc75cdf"} +{"episode": 9798, "episode_seed": 2445848618, "split": "train", "timestamp": "2025-10-24T06:49:46.455251", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 2445848618, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -8.8])", "action": "('rotate', [0.0, 0.0, -8.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [-4.6, 0.0, 0.0])", "action": "('rotate', [-4.6, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -122.8, 0.0])", "action": "('rotate', [0.0, -122.8, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.03 degrees."}, "think": ""}], "extra_state": null, "hash": "84f0fec92b258b7a50bb2543cc026f95d5c7602a404963727a74c92ce7c0004e"} +{"episode": 9799, "episode_seed": 3509496898, "split": "train", "timestamp": "2025-10-24T06:49:52.750146", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000489", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 531, "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": 3509496898, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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 \u2026 and give the final result in \u2026.\nThis is step 1. You are allowed to take 19 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 18 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 17 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 16 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -90.0])", "action": "('rotate', [0.0, 0.0, -90.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 4, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 5. You are allowed to take 15 more steps.", "vlm_output": "('rotate', [0.0, 0.0, -109.0])", "action": "('rotate', [0.0, 0.0, -109.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 5, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 6. You are allowed to take 14 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 6, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 7. You are allowed to take 13 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 7, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 8. You are allowed to take 12 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 8, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 9. You are allowed to take 11 more steps.", "vlm_output": "('rotate', [90.0, 0.0, -0.0])", "action": "('rotate', [90.0, 0.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 9, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 10. You are allowed to take 10 more steps.", "vlm_output": "('rotate', [61.3, 0.0, 0.0])", "action": "('rotate', [61.3, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 10, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 11. You are allowed to take 9 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 11, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 12. You are allowed to take 8 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 12, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 13. You are allowed to take 7 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 13, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 14. You are allowed to take 6 more steps.", "vlm_output": "('rotate', [0.0, 90.0, -0.0])", "action": "('rotate', [0.0, 90.0, -0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 14, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 15. You are allowed to take 5 more steps.", "vlm_output": "('rotate', [0.0, -144.5, 0.0])", "action": "('rotate', [0.0, -144.5, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": ""}, {"step": 15, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 16. You are allowed to take 4 more steps.", "vlm_output": "('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "8f97ff5dac6e7edbd630e0b6067adff6a757a398b40ded436fd83e2ef8f0e509"}