diff --git "a/mental_rotation_3d_objaverse/train/batch_000372.jsonl" "b/mental_rotation_3d_objaverse/train/batch_000372.jsonl" new file mode 100644--- /dev/null +++ "b/mental_rotation_3d_objaverse/train/batch_000372.jsonl" @@ -0,0 +1,20 @@ +{"episode": 7440, "episode_seed": 123406564, "split": "train", "timestamp": "2025-10-24T06:33:51.617923", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 123406564, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 160.2])", "action": "('rotate', [0.0, 0.0, 160.2])", "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', [20.5, 0.0, 0.0])", "action": "('rotate', [20.5, 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, -104.7, 0.0])", "action": "('rotate', [0.0, -104.7, 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": "b4b113f3a403aa835803ceb7d5d9294edddabb4273103adefe214f4fc682f4c5"} +{"episode": 7441, "episode_seed": 1284002257, "split": "train", "timestamp": "2025-10-24T06:33:59.128523", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 1284002257, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 130.5])", "action": "('rotate', [0.0, 0.0, 130.5])", "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. 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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', [65.5, 0.0, 0.0])", "action": "('rotate', [65.5, 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, 165.4, 0.0])", "action": "('rotate', [0.0, 165.4, 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: 0.03 degrees."}, "think": ""}], "extra_state": null, "hash": "df5d2dec662fe06ebe8d1cebea8a49b9ba588f7c12aa4d5c3cb2e9766f42424d"} +{"episode": 7442, "episode_seed": 2532433169, "split": "train", "timestamp": "2025-10-24T06:34:06.106155", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 2532433169, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -178.9])", "action": "('rotate', [0.0, 0.0, -178.9])", "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', [-70.3, 0.0, 0.0])", "action": "('rotate', [-70.3, 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, -142.6, 0.0])", "action": "('rotate', [0.0, -142.6, 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": "97f6edbf9b8be8fcec230ea0b0de6714efcf1840bf7fde4d7ad89596bd4dbc28"} +{"episode": 7443, "episode_seed": 4099761558, "split": "train", "timestamp": "2025-10-24T06:34:15.598000", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 4099761558, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -43.6])", "action": "('rotate', [0.0, 0.0, -43.6])", "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', [-55.6, 0.0, 0.0])", "action": "('rotate', [-55.6, 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, 21.6, 0.0])", "action": "('rotate', [0.0, 21.6, 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": "621c4b3063fa165d000de488d9dd9e81869cf587adb356512a2dd9d61370459b"} +{"episode": 7444, "episode_seed": 3907809381, "split": "train", "timestamp": "2025-10-24T06:34:17.384476", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3907809381, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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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2W0eOEdZrmJB/31n+lcX4stY9L1m7jt1byrmMMwPRGZ92B/3x/nFAHNV6t4UBHgy2yMfJJ/6G1eWRxSSnEcbOfRRmvWfD0UkHhO2jljaNxE2VcYI5PagCH/W/D70xp38k/wDrVS8P61YaRpDWWoXaxSW0zxhWBJK5yCABkjmr1upfwAFHU6ew/wDHDXnOugjWJ8nJIQ5+qg0AdtfeNNI+22s0TTSiF23bI8ZBUjjOO+Krz/EaIZ8jTnb3kkA/kDXAUUAei+CTtCdMz2u9iB1ZZpB/JhXI+J4jD4m1BCSSZN3Jz1AP9a6HwXLh7A/KMtcQH1PCOP5H8qz/AB5biHxH5mP9dCrk+4yv9BQBy9dZ4J07TdTuLqO9tllkjVXjyxAxkg5APPUdq5Oui8E3QtvEkQZtqyo0ZOeOmf5gUAdfpX2fR/EepWAMUNvIkc8QJC44wR+dbtvqFndytFbXUMzqMsI3DY+uK4X4gG1mntJ4LiGSQKUdUcEgZyOB9TUHgux1O01+OZrG4SB0ZJHeMqMYyOT7gUAd3rn/ACANS/69Zf8A0E1wvgCWODU7yWaRY41t8s7nAHzDqa7rXP8AkAal/wBesv8A6Ca8XoA9A8TeL9Pn064sLPdO0q7TIBhV6fn3/KuHa/unskszO/2ZCSsQOFyTnJHf8ar0UAa2i6vb6PqC3f2H7QRFt2ySDh8g7lO3jgYx7nmrF74mku3mKRSQCW5W4PlzcggKAM47Fc5rBooA6TR/F9zpd1dSPD58U7tJ5e8Lhic5ztJNZVtq9zaQXsMO0R3g2yhhk456H8TVCniVxC0QPyMwYjHUjIH8zQAyitOz1/UrC2W3tp0SJSSAYUbr7kE1OfFeskEG6jIPb7PH/wDE0AYtFSQTSW86TREB0OVJAIz9Dwa0IfEOpwTzzR3CCScgyHyUOSBgcEYH4UAVX1G6liginneWKBt0auc7enQ/hXp+keLdM1XbH5n2e4P/ACylOMn2PQ/zrzS/1i+1NUW7mWQISVxGq4z9AKo0AdDpn/I+r/1+P/M16tXj/hkk+JrAk5Jl617BQAVG88MTqkkqIzHChmAJ7cUXDvHbSvGpZ1QlVHUnHAryFNO1DS57fULyxuUgSVXYspB4IPfoT70Aeh+JsPJo8BPD6hGTz1AzRbxR3Xi3VBNCsixwwgbxuA6nvWHf+JItW1LTptPsb64W0kZ3VY/vZHGMZp1hqOty63qtzZaN88zRiRJpQPL2rgdcdc5oA2vE+tyeHrCB7WGJmd9gVgcAYznjFZ3hnxHfa3JfpdiIKkW5RGuMfrUWpaH4k8QiNL97C3jjbICFs9Ovf+dYS6Vd6D4gh0+fUJbaK6wPtFuxGQcgenfGaAO1sBu8DxjIGbEjJ6fcrzbW2V9ULq4cNDCSQc8+Wuf1rs9H8H6fe6PaT3U11IZIg+wyYVSfQYrlPFFhbabr01rax7IVVCBuJ6qCeTQBjUUUUAdF4YbVGkA0yzjne3l80l3C4yrLjkjjnt6VL4vj1lntrnVY7dMgoggJwMYPOSf8iqnhnXo9BuZ5ZIGlEibQFOOc5qxr3iSXxJDFCmnmPyn3Da5c9OnQUAc2etSQeX58fmgmPcNwHp3q/D4e1ifGzTbnnoWjKj9a0bbwPrcxHmQRwA45eQce+BmgC7oWiWeseIJbm3t9mlWzYUFifMYdM59ep/KvRqqaZp0OlafFZwD5Ixy2OWPcmrdAFDXP+QBqX/XrL/6Ca868HaTZ6vqE8N5GXRItwAYrzkDt9a9F1z/kAal/16y/+gmuH+Hf/IXuv+uH/swoA0PEfh3QdJ0eadYyk5G2EGVjlvpmsrw1a+HdQSCzvIpmv5GYZBYKepHQ+lX/ABP4b1rVddmuIIxJb4VYt0oGBtGcAnjnNWfCvhCbT7v7dqIAmjyIo1bOP9okfyoA0/8AhCNC/wCfZ/8Av63+NH/CEaF/z7P/AN/W/wAa6GigDmLrwl4ds7WW5ngdYo1LMfNY4H515oI1kmZUZVBbC5zz6V654ls7m/8AD11a2ib55Nu1dwGcMCeTx0BrzXTPD2q6gFuLW18yJJNrN5ijBHXqaAOq0PwPCttINYg3Tb/kKSnG3Ht71q/8IRoX/Ps//f1v8a6GigDnv+EI0L/n2f8A7+t/jUF74T8PWNlNdS2kpjhQuwWVskD05rqKjnhjuYJIJkDxyKVZT3BoA8j1afQpPI/su1uYsMfN845yOMY+Y+9dlpnhzwvq1oLm0hdkJwQZWBU+hGeK5rUPBWrW148drAbmDqkikDI9wT1rR8KaLrema7DJNbyw2rBhN84wflOMgH1xQBkaNEkHjaGGMYSO6ZVHsCQK9ZrynTP+R9X/AK/H/ma9WoAKa6JKjJIiujDBVhkGnUUAcVfaJfeGr1tU0PL2x5mtevH9R+opNA8TaXE+p3d3cfZzcXG9YypY7cDHQGu2qqmm2ETl47K2RiclliUEn16UAYx8aac+fssF7dnp+5hJ/niszXpr/wAR2C20Xh+7Rg4aOWYhCp75B7Ee/wDKu2AAAAGAO1FAHntv4d8XNbxwfbTbRKuAhuSAo9PlzUifD26mffeaoufVULk/iSK76igDj4fh5p64867uX/3dqj+RrRh8F6FCQTaGQju8jH9M4rfooAoQaJpdt/qdPtlP97ywT+Z5q8qKihUUKo6ADAFLRQAUUUUAFFFFAGD4r1e207RriCVszXMTRxxjryMZ+gzXmulaxd6NcPNZsod12HcuRjOf6Vf8Q2Wo3Ov3sn2a6lXzWCN5bMNueAD6VL4e8KXOp3v+mQzW9rHguXQqX/2Rn/IoA9C0C9m1HQ7W7n2+bIpLbRgdSP6VpU2ONIYkijUJGihVUDAAHQU6gAooooA4nxrr99puoW9tY3Jh/db32gHOTgdR7frXJ6dr2p2W2C2u2jieTcyhRyT17VteLtH1K78RTzW9lPLEyph0QkH5RWND4e1gTxk6bcgBhz5Z9aAPYaKKKACiiigArivGHiHU9I1WGCzlVImgDnMYPzbmHU/QV2tZHiHQ4tc08xN8s8eWhf0Pp9DxQB5bY6k9rrUWpSJ5jrL5rKON2Tz/ADr1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0AemUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/2Q==", "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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ufF2W0eOEdZrmJB/31n+lcX4stY9L1m7jt1byrmMMwPRGZ92B/wB8f5xQBzVereFAR4MtsjHySf8AobV5ZHFJKcRxs59FGa9Z8PRSQeE7aOWNo3ETZVxgjk9qAIf9b8PvTGnfyT/61UvD+tWGkaQ1lqF2sUltM8YVgSSucggAZI5q9bqX8ABR1OnsP/HDXnOugjWJ8nJIQ5+qg0AdtfeNNI+22s0TTSiF23bI8ZBUjjOO+Krz/EaIZ8jTnb3kkA/kDXAUUAei+CTtCdMz2u9iB1ZZpB/JhXI+J4jD4m1BCSSZN3Jz1AP9a6HwXLh7A/KMtcQH1PCOP5H8qz/HluIfEfmY/wBdCrk+4yv9BQBy9dZ4J07TdTuLqO9tllkjVXjyxAxkg5APPUdq5Oui8E3QtvEkQZtqyo0ZOeOmf5gUAdfpX2fR/EepWAMUNvIkc8QJC44wR+dbtvqFndytFbXUMzqMsI3DY+uK4X4gG1mntJ4LiGSQKUdUcEgZyOB9TUHgux1O01+OZrG4SB0ZJHeMqMYyOT7gUAd3rn/IA1L/AK9Zf/QTXC+AJY4NTvJZpFjjW3yzucAfMOprutc/5AGpf9esv/oJrxegD0DxN4v0+fTriws907SrtMgGFXp+ff8AKuHa/unskszO/wBmQkrEDhck5yR3/Gq9FAGtour2+j6gt39h+0ERbdskg4fIO5Tt44GMe55qxe+JpLt5ikUkAluVuD5c3IICgDOOxXOawaKAOk0fxfc6XdXUjw+fFO7SeXvC4YnOc7STWVbavc2kF7DDtEd4NsoYZOOeh/E1Qp4lcQtED8jMGIx1IyB/M0AMorTs9f1Kwtlt7adEiUkgGFG6+5BNTnxXrJBBuoyD2+zx/wDxNAGLRUkE0lvOk0RAdDlSQCM/Q8GtCHxDqcE880dwgknIMh8lDkgYHBGB+FAFV9RupYoIp53ligbdGrnO3p0P4V6fpHi3TNV2x+Z9nuD/AMspTjJ9j0P8680v9YvtTVFu5lkCElcRquM/QCqNAHQ6Z/yPq/8AX4/8zXq1eP8Ahkk+JrAk5Jl617BQAVG88MTqkkqIzHChmAJ7cUXDvHbSvGpZ1QlVHUnHAryFNO1DS57fULyxuUgSVXYspB4IPfoT70Aeh+JsPJo8BPD6hGTz1AzRbxR3Xi3VBNCsixwwgbxuA6nvWHf+JItW1LTptPsb64W0kZ3VY/vZHGMZp1hqOty63qtzZaN88zRiRJpQPL2rgdcdc5oA2vE+tyeHrCB7WGJmd9gVgcAYznjFZ3hnxHfa3JfpdiIKkW5RGuMfrUWpaH4k8QiNL97C3jjbICFs9Ovf+dYS6Vd6D4gh0+fUJbaK6wPtFuxGQcgenfGaAO1sBu8DxjIGbEjJ6fcrzbW2V9ULq4cNDCSQc8+Wuf1rs9H8H6fe6PaT3U11IZIg+wyYVSfQYrlPFFhbabr01rax7IVVCBuJ6qCeTQBjUUUUAdF4YbVGkA0yzjne3l80l3C4yrLjkjjnt6VL4vj1lntrnVY7dMgoggJwMYPOSf8AIqp4Z16PQbmeWSBpRIm0BTjnOasa94kl8SQxQpp5j8p9w2uXPTp0FAHNnrUkHl+fH5oJj3DcB6d6vw+HtYnxs02556Foyo/WtG28D63MR5kEcAOOXkHHvgZoAu6FolnrHiCW5t7fZpVs2FBYnzGHTOfXqfyr0aqmmadDpWnxWcA+SMctjlj3Jq3QBQ1z/kAal/16y/8AoJrzrwdpNnq+oTw3kZdEi3ABivOQO31r0XXP+QBqX/XrL/6Ca4f4d/8AIXuv+uH/ALMKANDxH4d0HSdHmnWMpORthBlY5b6ZrK8NWvh3UEgs7yKZr+RmGQWCnqR0PpV/xP4b1rVddmuIIxJb4VYt0oGBtGcAnjnNWfCvhCbT7v7dqIAmjyIo1bOP9okfyoA0/wDhCNC/59n/AO/rf40f8IRoX/Ps/wD39b/GuhooA5i68JeHbO1luZ4HWKNSzHzWOB+deaCNZJmVGVQWwuc8+leueJbO5v8Aw9dWtom+eTbtXcBnDAnk8dAa810zw9quoBbi1tfMiSTazeYowR16mgDqtD8DwrbSDWIN02/5Ckpxtx7e9av/AAhGhf8APs//AH9b/GuhooA57/hCNC/59n/7+t/jUF74T8PWNlNdS2kpjhQuwWVskD05rqKjnhjuYJIJkDxyKVZT3BoA8j1afQpPI/su1uYsMfN845yOMY+Y+9dlpnhzwvq1oLm0hdkJwQZWBU+hGeK5rUPBWrW148drAbmDqkikDI9wT1rR8KaLrema7DJNbyw2rBhN84wflOMgH1xQBkaNEkHjaGGMYSO6ZVHsCQK9ZrynTP8AkfV/6/H/AJmvVqACmuiSoySIrowwVYZBp1FAHFX2iX3hq9bVNDy9seZrXrx/UfqKTQPE2lxPqd3d3H2c3FxvWMqWO3Ax0BrtqqppthE5eOytkYnJZYlBJ9elAGMfGmnPn7LBe3Z6fuYSf54rM16a/wDEdgttF4fu0YOGjlmIQqe+QexHv/Ku2AAAAGAO1FAHntv4d8XNbxwfbTbRKuAhuSAo9PlzUifD26mffeaoufVULk/iSK76igDj4fh5p64867uX/wB3ao/ka0YfBehQkE2hkI7vIx/TOK36KAKEGiaXbf6nT7ZT/e8sE/meavKiooVFCqOgAwBS0UAFFFFABRRRQBg+K9XttO0a4glbM1zE0ccY68jGfoM15rpWsXejXDzWbKHddh3LkYzn+lX/ABDZajc6/eyfZrqVfNYI3lsw254APpUvh7wpc6ne/wCmQzW9rHguXQqX/wBkZ/yKAPQtAvZtR0O1u59vmyKS20YHUj+laVNjjSGJIo1CRooVVAwAB0FOoAKKKKAOJ8a6/fabqFvbWNyYf3W99oBzk4HUe361yena9qdltgtrto4nk3MoUck9e1bXi7R9Su/EU81vZTyxMqYdEJB+UVjQ+HtYE8ZOm3IAYc+WfWgD2GiiigAooooAK4rxh4h1PSNVhgs5VSJoA5zGD825h1P0FdrWR4h0OLXNPMTfLPHloX9D6fQ8UAeW2OpPa61FqUieY6y+ayjjdk8/zr1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0AemUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH//2Q==", 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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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"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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"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, -175.2])", "action": "('rotate', [0.0, 0.0, -175.2])", "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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", 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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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", "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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", "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', [28.6, 0.0, 0.0])", "action": "('rotate', [28.6, 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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", "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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", "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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", 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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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whyhSQ7QnHXuvNAHZ+G/9bq3/AF/y/wDoRrj/AAx/yLviP/rgv8nqXSdC167F15GrPbtHOySjz3G5weTx15zzWPpVje3Wm6nNbXZhhgjDTxh2HmDDYGBweh6+tAHp2kf63UP+u6f+iIq068Xi1i/j3Yv70Fjlilwy54A5/AAfgKk/t3Uf+gjqP/gW1AHd6Z/x8eHv+uFx/Nat6L/yMOvf9dYv/QK890zxFe6ddW8rN9oSAMEjkJ4DYzg9ugrrvDGvWV3q+pyySLbyXTxtHHI3XC4IB6GgBvxA/wCYX/11b/2Wu0ri/iB/zC/+urf+y12lAHlOmf8AI+r/ANfj/wAzXq1eU6Z/yPq/9fj/AMzXq1AFDXP+QBqX/XrL/wCgmuF8ASxwaneSzSLHGtvlnc4A+YdTXda5/wAgDUv+vWX/ANBNeL0AegeJvF+nz6dcWFnunaVdpkAwq9Pz7/lXDtf3T2SWZnf7MhJWIHC5Jzkjv+NV6KANbRdXt9H1Bbv7D9oIi27ZJBw+QdynbxwMY9zzVi98TSXbzFIpIBLcrcHy5uQQFAGcdiuc1g0UAdJo/i+50u6upHh8+Kd2k8veFwxOc52kmsq21e5tIL2GHaI7wbZQwycc9D+JqhTxK4haIH5GYMRjqRkD+ZoAZRWnZ6/qVhbLb206JEpJAMKN19yCanPivWSCDdRkHt9nj/8AiaAMWipIJpLedJoiA6HKkgEZ+h4NaEPiHU4J55o7hBJOQZD5KHJAwOCMD8KAKr6jdSxQRTzvLFA26NXOdvTofwr0/SPFumartj8z7PcH/llKcZPseh/nXml/rF9qaot3MsgQkriNVxn6AVRoA6HTP+R9X/r8f+Zr1avH/DJJ8TWBJyTL1r2CgChrn/IA1L/r1l/9BNcD4Bljg1q5lmkWONbRizucAfOnU132uf8AIA1L/r1l/wDQTXi9AHf+JfGFhcWFzp9mHnaRdplxhByOmeT3riGv7p7JLMzv9mQkrEDhck5yR3/Gq9FAGpourRaPfrdizWdhHtxIw4bOdw444GPxPNTX3iS5u3mMamAS3C3B2PzkAADPttzWLRQB0WleL7vTLm6kMYmjndpDGzAYYnOc4yayrPVLmwtLu2hK+XdKElDLk4Genp1NUqeJXELRA/IzBiMdSMgfzNADKK07PX9SsLZbe2nRIlJIBhRuvuQTU58V6yQQbqMg9vs8f/xNAGLRT4ZXgmSaM4dGDKSAeR7HrWjD4h1OCeeaO4QSTkGQ+ShyQMDgjA/CgCq+o3UsUEU87yxQNujVznb06H8K9P0jxbpmq7Y/M+z3B/5ZSnGT7Hof515pf6xfamqLdzLIEJK4jVcZ+gFUaAOh0z/kfV/6/H/ma9Wrx/wySfE1gScky9a9goAoa5/yANS/69Zf/QTXnXg7SbPV9QnhvIy6JFuADFecgdvrXouuf8gDUv8Ar1l/9BNcP8O/+Qvdf9cP/ZhQBoeI/Dug6To806xlJyNsIMrHLfTNZXhq18O6gkFneRTNfyMwyCwU9SOh9Kv+J/Detarrs1xBGJLfCrFulAwNozgE8c5qz4V8ITafd/btRAE0eRFGrZx/tEj+VAGn/wAIRoX/AD7P/wB/W/xo/wCEI0L/AJ9n/wC/rf410NFAHMXXhLw7Z2stzPA6xRqWY+axwPzrzQRrJMyoyqC2Fznn0r1zxLZ3N/4eurW0TfPJt2ruAzhgTyeOgNea6Z4e1XUAtxa2vmRJJtZvMUYI69TQB1Wh+B4VtpBrEG6bf8hSU4249vetX/hCNC/59n/7+t/jXQ0UAc9/whGhf8+z/wDf1v8AGoL3wn4esbKa6ltJTHChdgsrZIHpzXUVHPDHcwSQTIHjkUqynuDQB5Hq0+hSeR/ZdrcxYY+b5xzkcYx8x967LTPDnhfVrQXNpC7ITggysCp9CM8VzWoeCtWtrx47WA3MHVJFIGR7gnrWj4U0XW9M12GSa3lhtWDCb5xg/KcZAPrigDI0aJIPG0MMYwkd0yqPYEgV6zXlOmf8j6v/AF+P/M16tQBQ1z/kAal/16y/+gmvOfB2kWmr6lPFeIzxpDuADEc5A7V6Nrn/ACANS/69Zf8A0E1w/wAO/wDkL3X/AFw/9mFAF/xH4e0DSNImmWMpcMMQgysSzewzzWX4atfDuoJBZ3kUzX8jMMgsFPUjofSr3ifw1rOqa7PcQR+Zb4UR7pQMDaMgAnjnNW/CnhKfTrs32oBRMmRFGCGxn+ImgDS/4QjQv+fZ/wDv63+NH/CEaF/z7P8A9/W/xroaKAOYuvCXh2ztZbmeB1ijUsx81jgfnXmUcfmMF3KpJwM55r17xLZ3N/4eurW0TfPJt2ruAzhgTyeOgNeaaV4f1TUkS6tLXzIVkwW8xRyMZ4JzQB1eh+B4VtpBrEG6bf8AIUlONuPb3rV/4QjQv+fZ/wDv63+NdDRQBz3/AAhGhf8APs//AH9b/GoL3wn4esbKa6ltJTHChdgsrZIHpzXUVHPDHcwSQTIHjkUqynuDQB5Hq0+hSeR/ZdrcxYY+b5xzkcYx8x967PTfDfhfVrQXNpE7oeCDKwKn0Iz1rmNQ8F6tbXskdrbtcQA5SQMoyPcZ61peFNF1vTNdhkmt5YbVgwm+cYPynGQD64oAyNGiSDxtDDGMJHdMqj2BIFes15Tpn/I+r/1+P/M16tQBg+K9XttO0a4glbM1zE0ccY68jGfoM15rpWsXejXDzWbKHddh3LkYzn+lX/ENlqNzr97J9mupV81gjeWzDbngA+lS+HvClzqd7/pkM1vax4Ll0Kl/9kZ/yKAPQtAvZtR0O1u59vmyKS20YHUj+laVNjjSGJIo1CRooVVAwAB0FOoAKKKKAOJ8a6/fabqFvbWNyYf3W99oBzk4HUe361yena9qdltgtrto4nk3MoUck9e1bXi7R9Su/EU81vZTyxMqYdEJB+UVjQ+HtYE8ZOm3IAYc+WfWgD2GiiigAooooAK4rxh4h1PSNVhgs5VSJoA5zGD825h1P0FdrWR4h0OLXNPMTfLPHloX9D6fQ8UAeW2OpPa61FqUieY6y+ayjjdk8/zr1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0Add4r1e107R7i3lfM9zE0ccYPPIIyfavNNM1a80id5rOQI7rtJKhuM57/StPxBperXWv3sq2N7KhlbY4hZgV7YOOlS+H/CV3qF8Df281vax4L+YhQv/sjP86AO+8P3k2oaFa3VwwaWRSWIGM8kVp01EWKNY0UKigKoHQAU6gAooooA4jxp4gvtO1C3trG4aHEe+TABzk8dR7frXJ6ZrmpWCpbWt00UJfJUKOp69q3vFuh6ne+IZp7aylliZUwy9DhQKxovDWtLMjHTpwAwJ4oA9eooooAKKKKACuI8Za/qmk6tDDZXPlRNAHI8tWy25geSD2Art6yPEOhQ65YeW3yzxgmF/Q+h9jgUAeW2GpPaazFqMi+a6y+Y46biev0r1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0Af/9k=", "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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whyhSQ7QnHXuvNAHZ+G/9bq3/AF/y/wDoRrj/AAx/yLviP/rgv8nqXSdC167F15GrPbtHOySjz3G5weTx15zzWPpVje3Wm6nNbXZhhgjDTxh2HmDDYGBweh6+tAHp2kf63UP+u6f+iIq068Xi1i/j3Yv70Fjlilwy54A5/AAfgKk/t3Uf+gjqP/gW1AHd6Z/x8eHv+uFx/Nat6L/yMOvf9dYv/QK890zxFe6ddW8rN9oSAMEjkJ4DYzg9ugrrvDGvWV3q+pyySLbyXTxtHHI3XC4IB6GgBvxA/wCYX/11b/2Wu0ri/iB/zC/+urf+y12lAHlOmf8AI+r/ANfj/wAzXq1eU6Z/yPq/9fj/AMzXq1AFDXP+QBqX/XrL/wCgmuF8ASxwaneSzSLHGtvlnc4A+YdTXda5/wAgDUv+vWX/ANBNeL0AegeJvF+nz6dcWFnunaVdpkAwq9Pz7/lXDtf3T2SWZnf7MhJWIHC5Jzkjv+NV6KANbRdXt9H1Bbv7D9oIi27ZJBw+QdynbxwMY9zzVi98TSXbzFIpIBLcrcHy5uQQFAGcdiuc1g0UAdJo/i+50u6upHh8+Kd2k8veFwxOc52kmsq21e5tIL2GHaI7wbZQwycc9D+JqhTxK4haIH5GYMRjqRkD+ZoAZRWnZ6/qVhbLb206JEpJAMKN19yCanPivWSCDdRkHt9nj/8AiaAMWipIJpLedJoiA6HKkgEZ+h4NaEPiHU4J55o7hBJOQZD5KHJAwOCMD8KAKr6jdSxQRTzvLFA26NXOdvTofwr0/SPFumartj8z7PcH/llKcZPseh/nXml/rF9qaot3MsgQkriNVxn6AVRoA6HTP+R9X/r8f+Zr1avH/DJJ8TWBJyTL1r2CgChrn/IA1L/r1l/9BNcD4Bljg1q5lmkWONbRizucAfOnU132uf8AIA1L/r1l/wDQTXi9AHf+JfGFhcWFzp9mHnaRdplxhByOmeT3riGv7p7JLMzv9mQkrEDhck5yR3/Gq9FAGpourRaPfrdizWdhHtxIw4bOdw444GPxPNTX3iS5u3mMamAS3C3B2PzkAADPttzWLRQB0WleL7vTLm6kMYmjndpDGzAYYnOc4yayrPVLmwtLu2hK+XdKElDLk4Genp1NUqeJXELRA/IzBiMdSMgfzNADKK07PX9SsLZbe2nRIlJIBhRuvuQTU58V6yQQbqMg9vs8f/xNAGLRT4ZXgmSaM4dGDKSAeR7HrWjD4h1OCeeaO4QSTkGQ+ShyQMDgjA/CgCq+o3UsUEU87yxQNujVznb06H8K9P0jxbpmq7Y/M+z3B/5ZSnGT7Hof515pf6xfamqLdzLIEJK4jVcZ+gFUaAOh0z/kfV/6/H/ma9Wrx/wySfE1gScky9a9goAoa5/yANS/69Zf/QTXnXg7SbPV9QnhvIy6JFuADFecgdvrXouuf8gDUv8Ar1l/9BNcP8O/+Qvdf9cP/ZhQBoeI/Dug6To806xlJyNsIMrHLfTNZXhq18O6gkFneRTNfyMwyCwU9SOh9Kv+J/Detarrs1xBGJLfCrFulAwNozgE8c5qz4V8ITafd/btRAE0eRFGrZx/tEj+VAGn/wAIRoX/AD7P/wB/W/xo/wCEI0L/AJ9n/wC/rf410NFAHMXXhLw7Z2stzPA6xRqWY+axwPzrzQRrJMyoyqC2Fznn0r1zxLZ3N/4eurW0TfPJt2ruAzhgTyeOgNea6Z4e1XUAtxa2vmRJJtZvMUYI69TQB1Wh+B4VtpBrEG6bf8hSU4249vetX/hCNC/59n/7+t/jXQ0UAc9/whGhf8+z/wDf1v8AGoL3wn4esbKa6ltJTHChdgsrZIHpzXUVHPDHcwSQTIHjkUqynuDQB5Hq0+hSeR/ZdrcxYY+b5xzkcYx8x967LTPDnhfVrQXNpC7ITggysCp9CM8VzWoeCtWtrx47WA3MHVJFIGR7gnrWj4U0XW9M12GSa3lhtWDCb5xg/KcZAPrigDI0aJIPG0MMYwkd0yqPYEgV6zXlOmf8j6v/AF+P/M16tQBQ1z/kAal/16y/+gmvOfB2kWmr6lPFeIzxpDuADEc5A7V6Nrn/ACANS/69Zf8A0E1w/wAO/wDkL3X/AFw/9mFAF/xH4e0DSNImmWMpcMMQgysSzewzzWX4atfDuoJBZ3kUzX8jMMgsFPUjofSr3ifw1rOqa7PcQR+Zb4UR7pQMDaMgAnjnNW/CnhKfTrs32oBRMmRFGCGxn+ImgDS/4QjQv+fZ/wDv63+NH/CEaF/z7P8A9/W/xroaKAOYuvCXh2ztZbmeB1ijUsx81jgfnXmUcfmMF3KpJwM55r17xLZ3N/4eurW0TfPJt2ruAzhgTyeOgNeaaV4f1TUkS6tLXzIVkwW8xRyMZ4JzQB1eh+B4VtpBrEG6bf8AIUlONuPb3rV/4QjQv+fZ/wDv63+NdDRQBz3/AAhGhf8APs//AH9b/GoL3wn4esbKa6ltJTHChdgsrZIHpzXUVHPDHcwSQTIHjkUqynuDQB5Hq0+hSeR/ZdrcxYY+b5xzkcYx8x967PTfDfhfVrQXNpE7oeCDKwKn0Iz1rmNQ8F6tbXskdrbtcQA5SQMoyPcZ61peFNF1vTNdhkmt5YbVgwm+cYPynGQD64oAyNGiSDxtDDGMJHdMqj2BIFes15Tpn/I+r/1+P/M16tQBg+K9XttO0a4glbM1zE0ccY68jGfoM15rpWsXejXDzWbKHddh3LkYzn+lX/ENlqNzr97J9mupV81gjeWzDbngA+lS+HvClzqd7/pkM1vax4Ll0Kl/9kZ/yKAPQtAvZtR0O1u59vmyKS20YHUj+laVNjjSGJIo1CRooVVAwAB0FOoAKKKKAOJ8a6/fabqFvbWNyYf3W99oBzk4HUe361yena9qdltgtrto4nk3MoUck9e1bXi7R9Su/EU81vZTyxMqYdEJB+UVjQ+HtYE8ZOm3IAYc+WfWgD2GiiigAooooAK4rxh4h1PSNVhgs5VSJoA5zGD825h1P0FdrWR4h0OLXNPMTfLPHloX9D6fQ8UAeW2OpPa61FqUieY6y+ayjjdk8/zr1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0Add4r1e107R7i3lfM9zE0ccYPPIIyfavNNM1a80id5rOQI7rtJKhuM57/StPxBperXWv3sq2N7KhlbY4hZgV7YOOlS+H/CV3qF8Df281vax4L+YhQv/sjP86AO+8P3k2oaFa3VwwaWRSWIGM8kVp01EWKNY0UKigKoHQAU6gAooooA4jxp4gvtO1C3trG4aHEe+TABzk8dR7frXJ6ZrmpWCpbWt00UJfJUKOp69q3vFuh6ne+IZp7aylliZUwy9DhQKxovDWtLMjHTpwAwJ4oA9eooooAKKKKACuI8Za/qmk6tDDZXPlRNAHI8tWy25geSD2Art6yPEOhQ65YeW3yzxgmF/Q+h9jgUAeW2GpPaazFqMi+a6y+Y46biev0r1/T9RttUtEubWQOjDp3U+hHY14zLZ3MErxSQSK6HDKVPBrpPAn2iLxBsxIsbxNvGCAcdM0Af/9k=", "info": {"env_feedback": "Stopped. Final angle error: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "1534280c351be2dd0ea897f59281404a29b0242a849b3cea9110901bc491e8d1"} +{"episode": 7445, "episode_seed": 728695777, "split": "train", "timestamp": "2025-10-24T06:34:18.366983", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 728695777, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -69.6])", "action": "('rotate', [0.0, 0.0, -69.6])", "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', [-42.6, 0.0, 0.0])", "action": "('rotate', [-42.6, 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, 66.3, 0.0])", "action": "('rotate', [0.0, 66.3, 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: 0.07 degrees."}, "think": ""}], "extra_state": null, "hash": "1c7c7cab50024a6938265871581a65d451278a26f54067731cf6d268bb86449d"} +{"episode": 7446, "episode_seed": 3121591810, "split": "train", "timestamp": "2025-10-24T06:34:19.985237", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3121591810, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -49.3])", "action": "('rotate', [0.0, 0.0, -49.3])", "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', [-54.5, 0.0, 0.0])", "action": "('rotate', [-54.5, 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, 171.1, 0.0])", "action": "('rotate', [0.0, 171.1, 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": "1edd981706ff5514609fe29f9a4af5c500e3968275a51dfcbfa7757c54b74fe3"} +{"episode": 7447, "episode_seed": 3898993298, "split": "train", "timestamp": "2025-10-24T06:34:23.262868", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3898993298, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -86.6])", "action": "('rotate', [0.0, 0.0, -86.6])", "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', [-2.0, 0.0, 0.0])", "action": "('rotate', [-2.0, 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, 66.0, 0.0])", "action": "('rotate', [0.0, 66.0, 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: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "aa963eac4f82c280ceba937f23f668dd42cbc7771121ec8b5c0a0be1c56a45c4"} +{"episode": 7448, "episode_seed": 3989419643, "split": "train", "timestamp": "2025-10-24T06:34:24.881372", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3989419643, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 173.5])", "action": "('rotate', [0.0, 0.0, 173.5])", "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', [-32.5, 0.0, 0.0])", "action": "('rotate', [-32.5, 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, 160.6, 0.0])", "action": "('rotate', [0.0, 160.6, 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": "50ac034892db9da35c760495433175bd9d335185cd5eede44a867a774300cb18"} +{"episode": 7449, "episode_seed": 2023192954, "split": "train", "timestamp": "2025-10-24T06:34:38.438299", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 2023192954, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 118.4])", "action": "('rotate', [0.0, 0.0, 118.4])", "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', [81.4, 0.0, 0.0])", "action": "('rotate', [81.4, 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, 35.6, 0.0])", "action": "('rotate', [0.0, 35.6, 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": "d3ed74dcc67d8c856ff6a1b10c2e8afe44a0ba01c64694037a26053303bc6a8c"} +{"episode": 7450, "episode_seed": 2371181340, "split": "train", "timestamp": "2025-10-24T06:34:51.149267", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 2371181340, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 79.6])", "action": "('rotate', [0.0, 0.0, 79.6])", "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', [-8.7, 0.0, 0.0])", "action": "('rotate', [-8.7, 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, -82.1, 0.0])", "action": "('rotate', [0.0, -82.1, 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": "85c5d1822fc2c9f7f8229ba399ed3a9e784783f3b651152d8c4bda8040af4729"} +{"episode": 7451, "episode_seed": 2254281167, "split": "train", "timestamp": "2025-10-24T06:34:53.175317", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 2254281167, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 63.3])", "action": "('rotate', [0.0, 0.0, 63.3])", "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', [41.6, 0.0, 0.0])", "action": "('rotate', [41.6, 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, -146.8, 0.0])", "action": "('rotate', [0.0, -146.8, 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: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "cbbfa0fc358566c3bb8c54bfb931577398e49e24fdf8928d1e9d9906c0d054df"} +{"episode": 7452, "episode_seed": 1006531359, "split": "train", "timestamp": "2025-10-24T06:35:14.735698", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 1006531359, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 1.2])", "action": "('rotate', [0.0, 0.0, 1.2])", "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', [8.6, 0.0, 0.0])", "action": "('rotate', [8.6, 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, -85.7, 0.0])", "action": "('rotate', [0.0, -85.7, 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": "ac4cfd919cd4e3facabc1439feee7d4d509c51934762de6122c475265c1e01bd"} +{"episode": 7453, "episode_seed": 3901064760, "split": "train", "timestamp": "2025-10-24T06:36:08.723739", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3901064760, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, -119.8])", "action": "('rotate', [0.0, 0.0, -119.8])", "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', [36.0, 0.0, 0.0])", "action": "('rotate', [36.0, 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, -87.4, 0.0])", "action": "('rotate', [0.0, -87.4, 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": "e8fd0ed2669bd8b15c2a3d11c22d5aa362d6e059ad7c29f290c87093cbcb3a0f"} +{"episode": 7454, "episode_seed": 824095370, "split": "train", "timestamp": "2025-10-24T06:36:10.040256", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 824095370, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 46.4])", "action": "('rotate', [0.0, 0.0, 46.4])", "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', [-32.9, 0.0, 0.0])", "action": "('rotate', [-32.9, 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, -174.4, 0.0])", "action": "('rotate', [0.0, -174.4, 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": "d22e1324083e3afd0a163ee5240cd116c295fc88d5e52264f340f008faa16b6f"} +{"episode": 7455, "episode_seed": 1746527644, "split": "train", "timestamp": "2025-10-24T06:36:11.073172", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 1746527644, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 128.7])", "action": "('rotate', [0.0, 0.0, 128.7])", "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', [7.3, 0.0, 0.0])", "action": "('rotate', [7.3, 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, 81.1, 0.0])", "action": "('rotate', [0.0, 81.1, 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": "5402cef5da94f1f0152096eefb74661d6f71d982e1135ea139da81c3eebce393"} +{"episode": 7456, "episode_seed": 3707898618, "split": "train", "timestamp": "2025-10-24T06:36:14.926684", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3707898618, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 70.2])", "action": "('rotate', [0.0, 0.0, 70.2])", "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', [-58.1, 0.0, 0.0])", "action": "('rotate', [-58.1, 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, -74.4, 0.0])", "action": "('rotate', [0.0, -74.4, 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: 0.05 degrees."}, "think": ""}], "extra_state": null, "hash": "166301eb1f3183a6ee37057d1b48d4905a3874eb4f9786c7070ad426abb4ad36"} +{"episode": 7457, "episode_seed": 560502031, "split": "train", "timestamp": "2025-10-24T06:36:18.959053", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 560502031, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 79.6])", "action": "('rotate', [0.0, 0.0, 79.6])", "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', [-37.1, 0.0, 0.0])", "action": "('rotate', [-37.1, 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, 111.2, 0.0])", "action": "('rotate', [0.0, 111.2, 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: 0.06 degrees."}, "think": ""}], "extra_state": null, "hash": "0ac65c2740c2dbfd31cdb6cf0f8dc860ff8a8d7e6317a859e2049ff1b9918046"} +{"episode": 7458, "episode_seed": 3679286259, "split": "train", "timestamp": "2025-10-24T06:36:21.393251", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3679286259, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 89.2])", "action": "('rotate', [0.0, 0.0, 89.2])", "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', [68.2, 0.0, 0.0])", "action": "('rotate', [68.2, 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, 90.1, 0.0])", "action": "('rotate', [0.0, 90.1, 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": "b6d88cbc7285cb1276e3ccb55cbd3563369b9675a38f958ac2f6c5c2b34f8840"} +{"episode": 7459, "episode_seed": 3034411556, "split": "train", "timestamp": "2025-10-24T06:36:30.697091", "batch_dir": "/home/zwcolin/projects/VLM_Gym_Episodes_v6/mental_rotation_3d_objaverse_pad3_by_axis/shards_20251024_060424/train/batch_000372", "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 20, "abs_size": 336, "master_seed": 414, "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": 3034411556, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_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, 74.2])", "action": "('rotate', [0.0, 0.0, 74.2])", "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', [62.9, 0.0, 0.0])", "action": "('rotate', [62.9, 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, 40.8, 0.0])", "action": "('rotate', [0.0, 40.8, 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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", 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", 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", "info": {"env_feedback": "Stopped. Final angle error: 0.04 degrees."}, "think": ""}], "extra_state": null, "hash": "fef83e5d091e8306e8959967006835f8afd860612524ec7fdbd78cd3c6adbf15"}