Datasets:
zwcolin
/
mental_rotation_3d_procedural_v2

Dataset card Data Studio Files
xet
Community
1
episode
int64
0
87.5k
episode_seed
int64
580
4.29B
split
stringclasses
1 value
timestamp
stringdate
2025-09-19 08:32:11
2025-09-19 09:33:51
batch_dir
null
init_args
dict
run_args
dict
stats
dict
history
listlengths
4
4
extra_state
null
hash
stringlengths
64
64
0
1,608,637,542
train
2025-09-19T08:32:12.186678
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1608637542, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-14.7, -6.4, 25.2])</answer>", "action": "('rotate', [-14.7, -6.4, 25.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-14.7, -6.4, 25.2])</answer>", "action": "('rotate', [-14.7, -6.4, 25.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-14.7, -6.4, 25.2])</answer>", "action": "('rotate', [-14.7, -6.4, 25.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
aded33842c4902fd19ebcbf4890b5e7be3bf31f0e7d6aca5dfc25e28e8758a85
1
3,421,126,067
train
2025-09-19T08:32:14.828625
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3421126067, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [40.9, 18.3, -43.3])</answer>", "action": "('rotate', [40.9, 18.3, -43.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [40.9, 18.3, -43.3])</answer>", "action": "('rotate', [40.9, 18.3, -43.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [40.9, 18.3, -43.3])</answer>", "action": "('rotate', [40.9, 18.3, -43.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
fb95d4ace65d3e1dd3f1f8ff025e1fc5bc37825be400a1a6ac9b5e83ba727fcf
2
4,083,286,876
train
2025-09-19T08:32:17.013922
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4083286876, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.6, 29.2, 14.2])</answer>", "action": "('rotate', [-5.6, 29.2, 14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.6, 29.2, 14.2])</answer>", "action": "('rotate', [-5.6, 29.2, 14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.6, 29.2, 14.2])</answer>", "action": "('rotate', [-5.6, 29.2, 14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
4ea3ba29d8dddb86627c1ac725a0170b98675db7fe6bbb70182844b13d16d364
3
787,846,414
train
2025-09-19T08:32:19.784303
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 787846414, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.6, -20.7, -14.2])</answer>", "action": "('rotate', [-3.6, -20.7, -14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.6, -20.7, -14.2])</answer>", "action": "('rotate', [-3.6, -20.7, -14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.6, -20.7, -14.2])</answer>", "action": "('rotate', [-3.6, -20.7, -14.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
9b576f91d373b7da1984130a76b5b3bb2af192792af09c99610898aff79a449e
4
3,143,890,026
train
2025-09-19T08:32:21.851003
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3143890026, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.9, 12.3, -32.5])</answer>", "action": "('rotate', [31.9, 12.3, -32.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.9, 12.3, -32.5])</answer>", "action": "('rotate', [31.9, 12.3, -32.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.9, 12.3, -32.5])</answer>", "action": "('rotate', [31.9, 12.3, -32.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
a225e8414e70c415aafc7b3e481a458dc776e49cb9c6da66a674f0f2c7140aba
5
3,348,747,335
train
2025-09-19T08:32:23.888497
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3348747335, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [1.7, -5.2, -52.3])</answer>", "action": "('rotate', [1.7, -5.2, -52.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [1.7, -5.2, -52.3])</answer>", "action": "('rotate', [1.7, -5.2, -52.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [1.7, -5.2, -52.3])</answer>", "action": "('rotate', [1.7, -5.2, -52.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
8088bad683c7a36ea8a807cfba672b8b31dfea0b73f8381105d2a9d14cd39040
6
2,571,218,620
train
2025-09-19T08:32:26.683114
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2571218620, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.5, 15.8, -10.2])</answer>", "action": "('rotate', [5.5, 15.8, -10.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.5, 15.8, -10.2])</answer>", "action": "('rotate', [5.5, 15.8, -10.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.5, 15.8, -10.2])</answer>", "action": "('rotate', [5.5, 15.8, -10.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
060c6ccc0944221bfa70ea672df5808dd7a5b9641e6b2743150ef20cc2db495f
7
2,563,451,924
train
2025-09-19T08:32:28.876964
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2563451924, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.6, -9.9, -44.0])</answer>", "action": "('rotate', [14.6, -9.9, -44.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.6, -9.9, -44.0])</answer>", "action": "('rotate', [14.6, -9.9, -44.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.6, -9.9, -44.0])</answer>", "action": "('rotate', [14.6, -9.9, -44.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
b1b162603e87da1274d400dabcc746568954122fb5c650199ab75fdc275076ba
8
670,094,950
train
2025-09-19T08:32:31.556534
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 670094950, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.0, 14.9, 31.5])</answer>", "action": "('rotate', [-30.0, 14.9, 31.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.0, 14.9, 31.5])</answer>", "action": "('rotate', [-30.0, 14.9, 31.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.0, 14.9, 31.5])</answer>", "action": "('rotate', [-30.0, 14.9, 31.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
a4a7e141b827e876dfa1aae2a9dffefd01f18503fd6a12d1e67e1fda526abccc
9
1,914,837,113
train
2025-09-19T08:32:33.682587
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1914837113, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [21.3, -52.5, 29.4])</answer>", "action": "('rotate', [21.3, -52.5, 29.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [21.3, -52.5, 29.4])</answer>", "action": "('rotate', [21.3, -52.5, 29.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [21.3, -52.5, 29.4])</answer>", "action": "('rotate', [21.3, -52.5, 29.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
1cb4c22142500698cc89aefd7be24bee1a3c2e53ceb96e7edbed142ba2618888
10
669,991,378
train
2025-09-19T08:32:35.042670
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 669991378, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [36.7, 3.9, -34.9])</answer>", "action": "('rotate', [36.7, 3.9, -34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [36.7, 3.9, -34.9])</answer>", "action": "('rotate', [36.7, 3.9, -34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [36.7, 3.9, -34.9])</answer>", "action": "('rotate', [36.7, 3.9, -34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
3154284105b941785a54b6d4ed96af040aa75baa8a2ec3c7c31852f24a172ae3
11
429,389,014
train
2025-09-19T08:32:36.801566
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 429389014, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.3, -38.3, 28.6])</answer>", "action": "('rotate', [-22.3, -38.3, 28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.3, -38.3, 28.6])</answer>", "action": "('rotate', [-22.3, -38.3, 28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.3, -38.3, 28.6])</answer>", "action": "('rotate', [-22.3, -38.3, 28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
591ad08a4af784f1211edf6f9bb541da818058e0abdc26ebae4f3933945336ba
12
249,467,210
train
2025-09-19T08:32:38.035237
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 249467210, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [8.5, -10.5, 18.8])</answer>", "action": "('rotate', [8.5, -10.5, 18.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [8.5, -10.5, 18.8])</answer>", "action": "('rotate', [8.5, -10.5, 18.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [8.5, -10.5, 18.8])</answer>", "action": "('rotate', [8.5, -10.5, 18.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ca33e3b1ab44da173333fcc67778b1df032b1f1660608158a68d097c583674eb
13
1,972,458,954
train
2025-09-19T08:32:39.758498
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1972458954, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.1, 0.9, 34.1])</answer>", "action": "('rotate', [-9.1, 0.9, 34.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.1, 0.9, 34.1])</answer>", "action": "('rotate', [-9.1, 0.9, 34.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.1, 0.9, 34.1])</answer>", "action": "('rotate', [-9.1, 0.9, 34.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
d70da841e4146b4854515a4cf1f067769cf73ce8ac63769e6866c99825e8f670
14
3,720,198,231
train
2025-09-19T08:32:40.986169
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3720198231, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.8, -10.7, -7.6])</answer>", "action": "('rotate', [-9.8, -10.7, -7.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.8, -10.7, -7.6])</answer>", "action": "('rotate', [-9.8, -10.7, -7.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-9.8, -10.7, -7.6])</answer>", "action": "('rotate', [-9.8, -10.7, -7.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
38e61bf3f54e6d06ce6ee7c25fe5fccf2fd6285b67f46b8299c0165c3c63ecba
15
1,433,267,572
train
2025-09-19T08:32:42.545487
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1433267572, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.0, -0.4, -38.0])</answer>", "action": "('rotate', [47.0, -0.4, -38.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.0, -0.4, -38.0])</answer>", "action": "('rotate', [47.0, -0.4, -38.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.0, -0.4, -38.0])</answer>", "action": "('rotate', [47.0, -0.4, -38.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
4315c8ae5742367e50577e229c579279a0a44f08806dc2e85d98229cbd7416bb
16
2,581,769,315
train
2025-09-19T08:32:43.815607
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2581769315, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.9, 0.4, -40.0])</answer>", "action": "('rotate', [11.9, 0.4, -40.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.9, 0.4, -40.0])</answer>", "action": "('rotate', [11.9, 0.4, -40.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.9, 0.4, -40.0])</answer>", "action": "('rotate', [11.9, 0.4, -40.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
b74fe474eed78e41fd835bbe0fc7f1b7e79cb7c662e9212303d509716fa3406e
17
613,608,295
train
2025-09-19T08:32:45.395980
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 613608295, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.3, 24.6, -27.4])</answer>", "action": "('rotate', [-3.3, 24.6, -27.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.3, 24.6, -27.4])</answer>", "action": "('rotate', [-3.3, 24.6, -27.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-3.3, 24.6, -27.4])</answer>", "action": "('rotate', [-3.3, 24.6, -27.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
853ccdae034621d9f0d48dd5c62790671b99b08e7e5eb90712dd3088fc8b5972
18
3,041,148,567
train
2025-09-19T08:32:46.717609
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3041148567, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-26.7, -22.2, -22.3])</answer>", "action": "('rotate', [-26.7, -22.2, -22.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-26.7, -22.2, -22.3])</answer>", "action": "('rotate', [-26.7, -22.2, -22.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-26.7, -22.2, -22.3])</answer>", "action": "('rotate', [-26.7, -22.2, -22.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
e13ab24a232cbdc116ec59ab8e6eedc2ffff38f12a7176699049247c809e21fa
19
2,795,544,706
train
2025-09-19T08:32:48.325615
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2795544706, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-2.5, -32.3, -3.5])</answer>", "action": "('rotate', [-2.5, -32.3, -3.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-2.5, -32.3, -3.5])</answer>", "action": "('rotate', [-2.5, -32.3, -3.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-2.5, -32.3, -3.5])</answer>", "action": "('rotate', [-2.5, -32.3, -3.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
4298f1d9786f92b30a7dee74df9406ffefc6dc964afd4f75db848c0245219f79
20
88,409,749
train
2025-09-19T08:32:49.664898
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 88409749, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [22.1, 17.2, -29.6])</answer>", "action": "('rotate', [22.1, 17.2, -29.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [22.1, 17.2, -29.6])</answer>", "action": "('rotate', [22.1, 17.2, -29.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [22.1, 17.2, -29.6])</answer>", "action": "('rotate', [22.1, 17.2, -29.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
dd2040b7e7cbd788522566541480f7191097d1e31b24084538652c08928a9e4b
21
242,285,876
train
2025-09-19T08:32:50.909804
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 242285876, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, 8.4, 48.3])</answer>", "action": "('rotate', [30.7, 8.4, 48.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, 8.4, 48.3])</answer>", "action": "('rotate', [30.7, 8.4, 48.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, 8.4, 48.3])</answer>", "action": "('rotate', [30.7, 8.4, 48.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
cf25fe521eccf06c81f4f91bf4e24d7e893a5ac33d3c6f02c8e1e67bd0443f5d
22
4,165,731,073
train
2025-09-19T08:32:52.554508
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4165731073, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [39.1, 43.9, -26.2])</answer>", "action": "('rotate', [39.1, 43.9, -26.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [39.1, 43.9, -26.2])</answer>", "action": "('rotate', [39.1, 43.9, -26.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [39.1, 43.9, -26.2])</answer>", "action": "('rotate', [39.1, 43.9, -26.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
e0230394d4e8995475be785cfc597450d76d5ac952eb8d28235481308f16d4f9
23
3,100,961,111
train
2025-09-19T08:32:53.791312
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3100961111, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.0, -11.0, -37.5])</answer>", "action": "('rotate', [-34.0, -11.0, -37.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.0, -11.0, -37.5])</answer>", "action": "('rotate', [-34.0, -11.0, -37.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.0, -11.0, -37.5])</answer>", "action": "('rotate', [-34.0, -11.0, -37.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
4b45e86e17eac09d547722303e7f17fbff0f4b0c1eba64902f7f3212e4177ecc
24
3,575,313,899
train
2025-09-19T08:32:55.434206
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3575313899, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [44.9, -3.0, -25.6])</answer>", "action": "('rotate', [44.9, -3.0, -25.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [44.9, -3.0, -25.6])</answer>", "action": "('rotate', [44.9, -3.0, -25.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [44.9, -3.0, -25.6])</answer>", "action": "('rotate', [44.9, -3.0, -25.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ce28869ba81d2056a1802e575455cdd9bb82796fc8169435fb78542ad3af2724
25
4,031,053,213
train
2025-09-19T08:32:56.687094
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4031053213, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.5, 2.0, -51.6])</answer>", "action": "('rotate', [31.5, 2.0, -51.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.5, 2.0, -51.6])</answer>", "action": "('rotate', [31.5, 2.0, -51.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.5, 2.0, -51.6])</answer>", "action": "('rotate', [31.5, 2.0, -51.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
0d9a559e096b1d27f3ffac9cd4820a183eb21b1db4976e1bba6307451c620177
26
911,989,541
train
2025-09-19T08:32:58.311974
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 911989541, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.4, 30.4, 9.6])</answer>", "action": "('rotate', [-34.4, 30.4, 9.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.4, 30.4, 9.6])</answer>", "action": "('rotate', [-34.4, 30.4, 9.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.4, 30.4, 9.6])</answer>", "action": "('rotate', [-34.4, 30.4, 9.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
4b675726273f0d53cd6fc49cd32ca5ba0c3e05c9d0c321762ecf1b7220a6e01b
27
3,344,769
train
2025-09-19T08:32:59.552904
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3344769, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.5, -27.9, 2.3])</answer>", "action": "('rotate', [0.5, -27.9, 2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.5, -27.9, 2.3])</answer>", "action": "('rotate', [0.5, -27.9, 2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.5, -27.9, 2.3])</answer>", "action": "('rotate', [0.5, -27.9, 2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
bc392b84f1b45b4b1bf469f206c4a760de0920e87dabaf7e4b207cdb9d86e295
28
780,932,287
train
2025-09-19T08:33:01.247547
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 780932287, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-21.4, -22.3, -23.3])</answer>", "action": "('rotate', [-21.4, -22.3, -23.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-21.4, -22.3, -23.3])</answer>", "action": "('rotate', [-21.4, -22.3, -23.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-21.4, -22.3, -23.3])</answer>", "action": "('rotate', [-21.4, -22.3, -23.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
55f785274e4e0aaffca68f58bbc232f9cc57b5dd2ba0947efabb8298bd0fe6b6
29
4,261,516,219
train
2025-09-19T08:33:02.456643
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4261516219, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-50.5, 7.6, 22.7])</answer>", "action": "('rotate', [-50.5, 7.6, 22.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-50.5, 7.6, 22.7])</answer>", "action": "('rotate', [-50.5, 7.6, 22.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-50.5, 7.6, 22.7])</answer>", "action": "('rotate', [-50.5, 7.6, 22.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2e4a6fadb144edbf5cc06c45bce62a4578bfa50a697d143d6277df353cb31d76
30
787,716,372
train
2025-09-19T08:33:03.773816
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 787716372, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.3, 20.0, -33.8])</answer>", "action": "('rotate', [23.3, 20.0, -33.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.3, 20.0, -33.8])</answer>", "action": "('rotate', [23.3, 20.0, -33.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.3, 20.0, -33.8])</answer>", "action": "('rotate', [23.3, 20.0, -33.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2370ff888903f1054ff687a8bce53c4b16bc625936c78fdf986e8b023aac2b0c
31
2,652,062,880
train
2025-09-19T08:33:05.483743
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2652062880, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-18.0, 4.5, 34.9])</answer>", "action": "('rotate', [-18.0, 4.5, 34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-18.0, 4.5, 34.9])</answer>", "action": "('rotate', [-18.0, 4.5, 34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-18.0, 4.5, 34.9])</answer>", "action": "('rotate', [-18.0, 4.5, 34.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
02c09379aa38a1ccdc7ad157bf7847dcfb9d22fa68f7ff0ad931bd67509e81aa
32
1,306,710,475
train
2025-09-19T08:33:06.749966
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1306710475, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, -25.4, 4.0])</answer>", "action": "('rotate', [-29.5, -25.4, 4.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, -25.4, 4.0])</answer>", "action": "('rotate', [-29.5, -25.4, 4.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, -25.4, 4.0])</answer>", "action": "('rotate', [-29.5, -25.4, 4.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
acec8136299bd4298cc12c1e1723521d9e3652b64d23063199429e8c0196ba0f
33
2,627,030,329
train
2025-09-19T08:33:08.454884
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2627030329, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.6, 4.4, 11.2])</answer>", "action": "('rotate', [30.6, 4.4, 11.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.6, 4.4, 11.2])</answer>", "action": "('rotate', [30.6, 4.4, 11.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.6, 4.4, 11.2])</answer>", "action": "('rotate', [30.6, 4.4, 11.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
5a291169fbd2e9e621a7e9cd4fe68027ee50ad5f75e20f098b41bf9f44da4fb1
34
2,253,811,733
train
2025-09-19T08:33:09.719185
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2253811733, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.7, 4.8, 39.5])</answer>", "action": "('rotate', [14.7, 4.8, 39.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.7, 4.8, 39.5])</answer>", "action": "('rotate', [14.7, 4.8, 39.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.7, 4.8, 39.5])</answer>", "action": "('rotate', [14.7, 4.8, 39.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
e3f88d03018f66a13d5830451008b5942e07ed57adf2c431da603fd87b9529ad
35
30,349,564
train
2025-09-19T08:33:11.308828
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 30349564, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.9, -13.1, 15.9])</answer>", "action": "('rotate', [-20.9, -13.1, 15.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.9, -13.1, 15.9])</answer>", "action": "('rotate', [-20.9, -13.1, 15.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.9, -13.1, 15.9])</answer>", "action": "('rotate', [-20.9, -13.1, 15.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
b734c8f8285f87a65872a17df6071cff544a297b5973a17209efeb98f19bc47b
36
1,855,189,739
train
2025-09-19T08:33:12.496517
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1855189739, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.8, 23.7, -27.1])</answer>", "action": "('rotate', [18.8, 23.7, -27.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.8, 23.7, -27.1])</answer>", "action": "('rotate', [18.8, 23.7, -27.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.8, 23.7, -27.1])</answer>", "action": "('rotate', [18.8, 23.7, -27.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2a4d6f2a3cea42f54c171ce8ba12a2d6f76ff368f6d5a8805e662fa800f071f0
37
99,052,376
train
2025-09-19T08:33:14.160571
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 99052376, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.7, 11.9, 17.4])</answer>", "action": "('rotate', [-28.7, 11.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.7, 11.9, 17.4])</answer>", "action": "('rotate', [-28.7, 11.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.7, 11.9, 17.4])</answer>", "action": "('rotate', [-28.7, 11.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
302341eae42a3adfae147a26bed390316a501bbec452115f322c94c2b2753dbb
38
1,250,819,632
train
2025-09-19T08:33:15.387872
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1250819632, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-25.6, 7.1, -2.3])</answer>", "action": "('rotate', [-25.6, 7.1, -2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-25.6, 7.1, -2.3])</answer>", "action": "('rotate', [-25.6, 7.1, -2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-25.6, 7.1, -2.3])</answer>", "action": "('rotate', [-25.6, 7.1, -2.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2ac735b92627a826f8d540dd2021bd8a7def01571d502fff52154e9df227c22b
39
2,253,890,010
train
2025-09-19T08:33:16.694059
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2253890010, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.5, -34.9, 15.7])</answer>", "action": "('rotate', [-41.5, -34.9, 15.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.5, -34.9, 15.7])</answer>", "action": "('rotate', [-41.5, -34.9, 15.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.5, -34.9, 15.7])</answer>", "action": "('rotate', [-41.5, -34.9, 15.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
97fa8c88272f82f06a0cb57a31eabfaeaaeab14c5660238792d5b5ef60443e0b
40
2,627,888,186
train
2025-09-19T08:33:18.283153
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2627888186, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.4, 0.5, 48.2])</answer>", "action": "('rotate', [5.4, 0.5, 48.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.4, 0.5, 48.2])</answer>", "action": "('rotate', [5.4, 0.5, 48.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.4, 0.5, 48.2])</answer>", "action": "('rotate', [5.4, 0.5, 48.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
bbf7ce22e9c7870dc0225a0effde533f0b48fc165519d975ed37ea19bffac59c
41
1,717,389,822
train
2025-09-19T08:33:19.533759
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1717389822, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.8, 18.3, -15.8])</answer>", "action": "('rotate', [7.8, 18.3, -15.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.8, 18.3, -15.8])</answer>", "action": "('rotate', [7.8, 18.3, -15.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.8, 18.3, -15.8])</answer>", "action": "('rotate', [7.8, 18.3, -15.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
674352d06a7447ab896ac6e99dd96b489cc5a4b2111ab1537597c803d345672e
42
599,121,577
train
2025-09-19T08:33:21.066946
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 599121577, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.2, -32.4, -3.3])</answer>", "action": "('rotate', [-37.2, -32.4, -3.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.2, -32.4, -3.3])</answer>", "action": "('rotate', [-37.2, -32.4, -3.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.2, -32.4, -3.3])</answer>", "action": "('rotate', [-37.2, -32.4, -3.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
31d8ddbe0e801bb28cd0d74b51748094aae7d9631e722a3130b9999e539af555
43
200,427,519
train
2025-09-19T08:33:22.382637
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 200427519, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.7, 21.5, 22.8])</answer>", "action": "('rotate', [-37.7, 21.5, 22.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.7, 21.5, 22.8])</answer>", "action": "('rotate', [-37.7, 21.5, 22.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-37.7, 21.5, 22.8])</answer>", "action": "('rotate', [-37.7, 21.5, 22.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
83b7dc95403b4bb549c2cc1ec5a2c319fed2a7878f167861e2c16828a0df1a00
44
1,254,751,707
train
2025-09-19T08:33:24.051849
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1254751707, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.1, -24.0, -11.6])</answer>", "action": "('rotate', [11.1, -24.0, -11.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.1, -24.0, -11.6])</answer>", "action": "('rotate', [11.1, -24.0, -11.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [11.1, -24.0, -11.6])</answer>", "action": "('rotate', [11.1, -24.0, -11.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
3386b3152c5a2f73625b8ea62283dbef1fb7c6a31b36dfe5fd03acd3dae68d60
45
4,182,248,123
train
2025-09-19T08:33:25.300649
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4182248123, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [12.6, 27.2, -15.0])</answer>", "action": "('rotate', [12.6, 27.2, -15.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [12.6, 27.2, -15.0])</answer>", "action": "('rotate', [12.6, 27.2, -15.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [12.6, 27.2, -15.0])</answer>", "action": "('rotate', [12.6, 27.2, -15.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
b540fed929c8c27532dfc5eab5993f6d07e24a5141c824f71002c89c2c446ee5
46
1,573,512,143
train
2025-09-19T08:33:26.937959
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1573512143, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.9, 41.7, 0.1])</answer>", "action": "('rotate', [5.9, 41.7, 0.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.9, 41.7, 0.1])</answer>", "action": "('rotate', [5.9, 41.7, 0.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [5.9, 41.7, 0.1])</answer>", "action": "('rotate', [5.9, 41.7, 0.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
83d3c03da69c20a16c25a549ff975d755d8f703310e969c2e64750ba51e88628
47
999,745,294
train
2025-09-19T08:33:28.112625
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 999745294, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.6, 19.3, 21.2])</answer>", "action": "('rotate', [-20.6, 19.3, 21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.6, 19.3, 21.2])</answer>", "action": "('rotate', [-20.6, 19.3, 21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-20.6, 19.3, 21.2])</answer>", "action": "('rotate', [-20.6, 19.3, 21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
5c63c68a3af90d9c9bd021b1937ae8b1da65e8bce3eea5aa81fb5fc11e7a2c82
48
1,958,805,693
train
2025-09-19T08:33:29.336194
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1958805693, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [13.8, 24.1, -13.9])</answer>", "action": "('rotate', [13.8, 24.1, -13.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [13.8, 24.1, -13.9])</answer>", "action": "('rotate', [13.8, 24.1, -13.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [13.8, 24.1, -13.9])</answer>", "action": "('rotate', [13.8, 24.1, -13.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
fe1d472cb4eb8472a10cec05390e20fe4454e0d845d0dc89151874b513c26082
49
389,151,677
train
2025-09-19T08:33:30.972490
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 389151677, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.8, -30.9, 28.0])</answer>", "action": "('rotate', [-22.8, -30.9, 28.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.8, -30.9, 28.0])</answer>", "action": "('rotate', [-22.8, -30.9, 28.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.8, -30.9, 28.0])</answer>", "action": "('rotate', [-22.8, -30.9, 28.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
d3217d91437a78cd15ef8a5f2892ca440caece03dc4fb3f707603fd09911c987
50
3,372,305,070
train
2025-09-19T08:33:32.189907
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3372305070, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-16.4, -24.0, -2.1])</answer>", "action": "('rotate', [-16.4, -24.0, -2.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-16.4, -24.0, -2.1])</answer>", "action": "('rotate', [-16.4, -24.0, -2.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-16.4, -24.0, -2.1])</answer>", "action": "('rotate', [-16.4, -24.0, -2.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
d6915f958b02f5a1cb4efaa7cc91795637732c5f42895b8fa6521c31a05f5d06
51
2,655,947,709
train
2025-09-19T08:33:33.857840
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2655947709, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-39.1, 4.4, 36.0])</answer>", "action": "('rotate', [-39.1, 4.4, 36.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-39.1, 4.4, 36.0])</answer>", "action": "('rotate', [-39.1, 4.4, 36.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-39.1, 4.4, 36.0])</answer>", "action": "('rotate', [-39.1, 4.4, 36.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
710c28623e7fec8bf252a27cbe34479050a4a36c9b2429066df8bcef5bd37858
52
857,592,370
train
2025-09-19T08:33:35.116097
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 857592370, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.8, -48.3, 0.4])</answer>", "action": "('rotate', [31.8, -48.3, 0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.8, -48.3, 0.4])</answer>", "action": "('rotate', [31.8, -48.3, 0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [31.8, -48.3, 0.4])</answer>", "action": "('rotate', [31.8, -48.3, 0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2b38581470006e093ffdccd9d29d8a539b94320d3e5cb857472fa78b1c93596a
53
1,642,661,739
train
2025-09-19T08:33:36.799864
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1642661739, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [38.8, 12.4, -21.8])</answer>", "action": "('rotate', [38.8, 12.4, -21.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [38.8, 12.4, -21.8])</answer>", "action": "('rotate', [38.8, 12.4, -21.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [38.8, 12.4, -21.8])</answer>", "action": "('rotate', [38.8, 12.4, -21.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
c489567b2240dbb4797fb97143cdd3e1bbf7c50827509c9e23b7d8b647ac5277
54
2,208,620,086
train
2025-09-19T08:33:38.020058
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2208620086, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-32.1, 16.6, 18.7])</answer>", "action": "('rotate', [-32.1, 16.6, 18.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-32.1, 16.6, 18.7])</answer>", "action": "('rotate', [-32.1, 16.6, 18.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-32.1, 16.6, 18.7])</answer>", "action": "('rotate', [-32.1, 16.6, 18.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
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55
4,222,944,499
train
2025-09-19T08:33:39.640545
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4222944499, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-55.8, -0.2, -17.2])</answer>", "action": "('rotate', [-55.8, -0.2, -17.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-55.8, -0.2, -17.2])</answer>", "action": "('rotate', [-55.8, -0.2, -17.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-55.8, -0.2, -17.2])</answer>", "action": "('rotate', [-55.8, -0.2, -17.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
a409d84c3f81cf98eebb160445f0c3e1060b84f3b47dd9bd4c583f0f9dd0d154
56
2,544,401,215
train
2025-09-19T08:33:40.869477
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2544401215, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 0.2, -12.3])</answer>", "action": "('rotate', [-22.2, 0.2, -12.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 0.2, -12.3])</answer>", "action": "('rotate', [-22.2, 0.2, -12.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 0.2, -12.3])</answer>", "action": "('rotate', [-22.2, 0.2, -12.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
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2,004,731,384
train
2025-09-19T08:33:42.063779
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2004731384, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [20.3, 25.1, -20.9])</answer>", "action": "('rotate', [20.3, 25.1, -20.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [20.3, 25.1, -20.9])</answer>", "action": "('rotate', [20.3, 25.1, -20.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [20.3, 25.1, -20.9])</answer>", "action": "('rotate', [20.3, 25.1, -20.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
d8d32c8b3cb05a3379cc5ad50ba5d6a982bd67857453f176992f2d7031ebb84c
58
199,502,978
train
2025-09-19T08:33:43.637659
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 199502978, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, -20.7, 20.7])</answer>", "action": "('rotate', [0.7, -20.7, 20.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, -20.7, 20.7])</answer>", "action": "('rotate', [0.7, -20.7, 20.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, -20.7, 20.7])</answer>", "action": "('rotate', [0.7, -20.7, 20.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
c7e5499bdc1efad5b33e591c9223913b173cb20a4105f50ef944918b307a0f36
59
3,693,415,908
train
2025-09-19T08:33:44.845823
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3693415908, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.5, 9.2, 13.6])</answer>", "action": "('rotate', [-10.5, 9.2, 13.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.5, 9.2, 13.6])</answer>", "action": "('rotate', [-10.5, 9.2, 13.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.5, 9.2, 13.6])</answer>", "action": "('rotate', [-10.5, 9.2, 13.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
15d51ebaa708e6880ff47e230c0181e6f1bb76833ae21c50f8fd8cd9a8db9648
60
2,609,385,266
train
2025-09-19T08:33:46.442101
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2609385266, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.4, 25.1, -7.4])</answer>", "action": "('rotate', [14.4, 25.1, -7.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.4, 25.1, -7.4])</answer>", "action": "('rotate', [14.4, 25.1, -7.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [14.4, 25.1, -7.4])</answer>", "action": "('rotate', [14.4, 25.1, -7.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
84f75b4e70d0b62d4079f15e14ce7e05f992fe5af29e4df294cce8594dcb0239
61
2,921,898,630
train
2025-09-19T08:33:47.680689
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2921898630, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.7, 9.5, 7.1])</answer>", "action": "('rotate', [-5.7, 9.5, 7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.7, 9.5, 7.1])</answer>", "action": "('rotate', [-5.7, 9.5, 7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.7, 9.5, 7.1])</answer>", "action": "('rotate', [-5.7, 9.5, 7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
8458b1c33520d4c185347e338d9259784988db6130ed9cce386ab146d531aec3
62
732,395,540
train
2025-09-19T08:33:49.305839
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 732395540, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 48.1, -20.1])</answer>", "action": "('rotate', [-7.4, 48.1, -20.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 48.1, -20.1])</answer>", "action": "('rotate', [-7.4, 48.1, -20.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 48.1, -20.1])</answer>", "action": "('rotate', [-7.4, 48.1, -20.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
c06f55ca0475b130024282ea9add09dba0e49d528cf85e9f33d78572f142acb6
63
1,934,879,560
train
2025-09-19T08:33:50.543532
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1934879560, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 33.3, -12.2])</answer>", "action": "('rotate', [-7.4, 33.3, -12.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 33.3, -12.2])</answer>", "action": "('rotate', [-7.4, 33.3, -12.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.4, 33.3, -12.2])</answer>", "action": "('rotate', [-7.4, 33.3, -12.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
f00dd1d5847e0d049f9e810450e1d837ce5430b2077653b1f591aaa781421885
64
279,394,470
train
2025-09-19T08:33:51.779644
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 279394470, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.5, -16.7, -7.1])</answer>", "action": "('rotate', [-34.5, -16.7, -7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.5, -16.7, -7.1])</answer>", "action": "('rotate', [-34.5, -16.7, -7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.5, -16.7, -7.1])</answer>", "action": "('rotate', [-34.5, -16.7, -7.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ab14a834d2310840335116fda04d040dd3454c657900e81e70e0bab74ab171c5
65
56,972,561
train
2025-09-19T08:33:53.381007
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 56972561, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [19.9, -23.2, 6.0])</answer>", "action": "('rotate', [19.9, -23.2, 6.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [19.9, -23.2, 6.0])</answer>", "action": "('rotate', [19.9, -23.2, 6.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [19.9, -23.2, 6.0])</answer>", "action": "('rotate', [19.9, -23.2, 6.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
cdac65edc6827b5abaca48db39c7c9ce63b93d9e6228cdf9dc50cb35de66dd06
66
4,075,432,323
train
2025-09-19T08:33:54.624870
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4075432323, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-17.3, 0.5, -24.2])</answer>", "action": "('rotate', [-17.3, 0.5, -24.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-17.3, 0.5, -24.2])</answer>", "action": "('rotate', [-17.3, 0.5, -24.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-17.3, 0.5, -24.2])</answer>", "action": "('rotate', [-17.3, 0.5, -24.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
794099f060c5a200b9c058894d86c1f28655a59a362a66a6c0a3c9974a91c2b6
67
4,046,725,720
train
2025-09-19T08:33:56.296483
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4046725720, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.2, 2.9, 26.7])</answer>", "action": "('rotate', [-34.2, 2.9, 26.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.2, 2.9, 26.7])</answer>", "action": "('rotate', [-34.2, 2.9, 26.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-34.2, 2.9, 26.7])</answer>", "action": "('rotate', [-34.2, 2.9, 26.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
731d845dc4e9cd221126a04e391be52f3105c7620014ce1aa7736e2ae40be740
68
4,147,358,011
train
2025-09-19T08:33:57.568135
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 4147358011, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.3, -7.1, 36.8])</answer>", "action": "('rotate', [-40.3, -7.1, 36.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.3, -7.1, 36.8])</answer>", "action": "('rotate', [-40.3, -7.1, 36.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.3, -7.1, 36.8])</answer>", "action": "('rotate', [-40.3, -7.1, 36.8])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ff48fbde38efae23f7ecb8089ee3f6ae3c30f401d9f3ff8fb4006bca27a80762
69
2,419,304,461
train
2025-09-19T08:33:59.173958
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2419304461, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [15.8, -0.0, 32.7])</answer>", "action": "('rotate', [15.8, -0.0, 32.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [15.8, -0.0, 32.7])</answer>", "action": "('rotate', [15.8, -0.0, 32.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [15.8, -0.0, 32.7])</answer>", "action": "('rotate', [15.8, -0.0, 32.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
8da9dcb8b4ffb51a7ca88ccddf9f9763d16c497a79e9b63fdb9a8bb31fc4871e
70
3,472,040,177
train
2025-09-19T08:34:00.394717
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3472040177, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-15.7, 39.5, 42.4])</answer>", "action": "('rotate', [-15.7, 39.5, 42.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-15.7, 39.5, 42.4])</answer>", "action": "('rotate', [-15.7, 39.5, 42.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-15.7, 39.5, 42.4])</answer>", "action": "('rotate', [-15.7, 39.5, 42.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
394e75f393a149b649bc2547712a555d782822caa0afb946276b86d703c58833
71
1,655,351,289
train
2025-09-19T08:34:01.588881
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1655351289, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.1, -22.8, -3.7])</answer>", "action": "('rotate', [7.1, -22.8, -3.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.1, -22.8, -3.7])</answer>", "action": "('rotate', [7.1, -22.8, -3.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [7.1, -22.8, -3.7])</answer>", "action": "('rotate', [7.1, -22.8, -3.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
49d7beef49e9552be5d3125cbb8880f3ef79b15d3a6773361f486b296295e885
72
1,308,306,184
train
2025-09-19T08:34:03.154242
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1308306184, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.7, -53.2, -27.9])</answer>", "action": "('rotate', [-10.7, -53.2, -27.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.7, -53.2, -27.9])</answer>", "action": "('rotate', [-10.7, -53.2, -27.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-10.7, -53.2, -27.9])</answer>", "action": "('rotate', [-10.7, -53.2, -27.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
e459c5191a004c9f3b08cb53f7ed3ed34069b495b3bbe4596dcb6f467e13f886
73
68,574,553
train
2025-09-19T08:34:04.384527
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 68574553, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-46.4, 9.4, 40.4])</answer>", "action": "('rotate', [-46.4, 9.4, 40.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-46.4, 9.4, 40.4])</answer>", "action": "('rotate', [-46.4, 9.4, 40.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-46.4, 9.4, 40.4])</answer>", "action": "('rotate', [-46.4, 9.4, 40.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
12415199ab1cba854e50ce07902a6a65909a221e0e1b863ab5af78dfc35e3d47
74
419,498,548
train
2025-09-19T08:34:06.015443
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 419498548, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [3.9, 16.0, -55.7])</answer>", "action": "('rotate', [3.9, 16.0, -55.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [3.9, 16.0, -55.7])</answer>", "action": "('rotate', [3.9, 16.0, -55.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [3.9, 16.0, -55.7])</answer>", "action": "('rotate', [3.9, 16.0, -55.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ee3697fb43d4cbb6638f2cbfde96d025ad556b97db0d14143e930f99518a40eb
75
991,681,409
train
2025-09-19T08:34:07.836057
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 991681409, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.4, 13.6, 19.7])</answer>", "action": "('rotate', [17.4, 13.6, 19.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.4, 13.6, 19.7])</answer>", "action": "('rotate', [17.4, 13.6, 19.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.4, 13.6, 19.7])</answer>", "action": "('rotate', [17.4, 13.6, 19.7])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
782e869a5ae2baa3ac7d0b20c799c187a0929e4a0893e131d3feeed9cdc13250
76
2,938,758,483
train
2025-09-19T08:34:10.503803
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2938758483, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.1, 14.5, 28.5])</answer>", "action": "('rotate', [-28.1, 14.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.1, 14.5, 28.5])</answer>", "action": "('rotate', [-28.1, 14.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-28.1, 14.5, 28.5])</answer>", "action": "('rotate', [-28.1, 14.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
d2e4e383be7cc192dfd36e0a889df92be77225e238e7b5541af38bc8e23ca7e8
77
1,035,196,507
train
2025-09-19T08:34:12.683108
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1035196507, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.1, -30.1, 31.2])</answer>", "action": "('rotate', [17.1, -30.1, 31.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.1, -30.1, 31.2])</answer>", "action": "('rotate', [17.1, -30.1, 31.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.1, -30.1, 31.2])</answer>", "action": "('rotate', [17.1, -30.1, 31.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
da31d64de4d8977e962b05bbbc5231bd52b71a4b0c59a28c2257bd30ef2e04a3
78
1,890,440,558
train
2025-09-19T08:34:14.860776
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1890440558, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 35.3, -17.9])</answer>", "action": "('rotate', [-22.2, 35.3, -17.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 35.3, -17.9])</answer>", "action": "('rotate', [-22.2, 35.3, -17.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-22.2, 35.3, -17.9])</answer>", "action": "('rotate', [-22.2, 35.3, -17.9])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ec647ba0e8a62d4ba152189946dd6a7231cf72a4e9f8e6b82c84da573f3bf47d
79
2,934,594,491
train
2025-09-19T08:34:17.541537
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2934594491, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, 7.7, 5.2])</answer>", "action": "('rotate', [-29.5, 7.7, 5.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, 7.7, 5.2])</answer>", "action": "('rotate', [-29.5, 7.7, 5.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.5, 7.7, 5.2])</answer>", "action": "('rotate', [-29.5, 7.7, 5.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
aacd5ad4f583dd1da4317fc4bf68a2e4355c956e432a5ccf6e8b2f1eb82b4b3b
80
524,150,214
train
2025-09-19T08:34:19.764263
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 524150214, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.0, 13.3, 28.1])</answer>", "action": "('rotate', [-29.0, 13.3, 28.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.0, 13.3, 28.1])</answer>", "action": "('rotate', [-29.0, 13.3, 28.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-29.0, 13.3, 28.1])</answer>", "action": "('rotate', [-29.0, 13.3, 28.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
41eb53e578568f3827795fb25ed03adb143dd8f5db6b08a038051895366f2d29
81
2,619,915,691
train
2025-09-19T08:34:22.579036
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2619915691, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-36.8, 9.2, -28.5])</answer>", "action": "('rotate', [-36.8, 9.2, -28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-36.8, 9.2, -28.5])</answer>", "action": "('rotate', [-36.8, 9.2, -28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-36.8, 9.2, -28.5])</answer>", "action": "('rotate', [-36.8, 9.2, -28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
b786a20dd855aac27328ad365b9c675efa72c4baa1dfc522f433fa6490210840
82
2,126,768,636
train
2025-09-19T08:34:24.807287
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2126768636, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.6, 28.1, -21.2])</answer>", "action": "('rotate', [-41.6, 28.1, -21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.6, 28.1, -21.2])</answer>", "action": "('rotate', [-41.6, 28.1, -21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-41.6, 28.1, -21.2])</answer>", "action": "('rotate', [-41.6, 28.1, -21.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
fbd29a9d6108bf012448fa0b1163f44c807c3db523677e82c21680b7e9932ed7
83
3,578,544,903
train
2025-09-19T08:34:27.340964
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3578544903, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [34.5, -9.4, 20.3])</answer>", "action": "('rotate', [34.5, -9.4, 20.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [34.5, -9.4, 20.3])</answer>", "action": "('rotate', [34.5, -9.4, 20.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [34.5, -9.4, 20.3])</answer>", "action": "('rotate', [34.5, -9.4, 20.3])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
584e68d23660c0cfb44b87a3058a120eba78bc4d45c727fa5435caaad93cf5dc
84
147,697,582
train
2025-09-19T08:34:29.358853
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 147697582, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.2, 26.0, -18.1])</answer>", "action": "('rotate', [17.2, 26.0, -18.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.2, 26.0, -18.1])</answer>", "action": "('rotate', [17.2, 26.0, -18.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [17.2, 26.0, -18.1])</answer>", "action": "('rotate', [17.2, 26.0, -18.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
8559c510419574748df37dcf4a96bde4dd5fc627d646c834eea32e948f02bfa2
85
744,595,490
train
2025-09-19T08:34:31.902191
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 744595490, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [51.8, 7.6, 2.2])</answer>", "action": "('rotate', [51.8, 7.6, 2.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [51.8, 7.6, 2.2])</answer>", "action": "('rotate', [51.8, 7.6, 2.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [51.8, 7.6, 2.2])</answer>", "action": "('rotate', [51.8, 7.6, 2.2])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
0056d2c6da2890d2b82f012e2d9de6387f1082bf509a4af1c3d5b6c728662b2d
86
3,905,501,389
train
2025-09-19T08:34:34.038663
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3905501389, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.7, 27.5, 10.5])</answer>", "action": "('rotate', [-7.7, 27.5, 10.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.7, 27.5, 10.5])</answer>", "action": "('rotate', [-7.7, 27.5, 10.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-7.7, 27.5, 10.5])</answer>", "action": "('rotate', [-7.7, 27.5, 10.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
bb2aacda94b2d98c990ab65eed747aa4389ce8473d0873ec5bd483827432bd3c
87
1,679,592,528
train
2025-09-19T08:34:36.216955
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1679592528, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.7, 3.1, 22.1])</answer>", "action": "('rotate', [18.7, 3.1, 22.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.7, 3.1, 22.1])</answer>", "action": "('rotate', [18.7, 3.1, 22.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [18.7, 3.1, 22.1])</answer>", "action": "('rotate', [18.7, 3.1, 22.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
e91bf1320f03cc502ca794682f182281a32f8f8edcce8687df272256b079803d
88
1,111,451,555
train
2025-09-19T08:34:38.909541
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1111451555, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, 8.6, -0.4])</answer>", "action": "('rotate', [0.7, 8.6, -0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, 8.6, -0.4])</answer>", "action": "('rotate', [0.7, 8.6, -0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [0.7, 8.6, -0.4])</answer>", "action": "('rotate', [0.7, 8.6, -0.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ec40a8afe8d38edb200514de5d1a85c5d83751e3c6c88755c66fa4b0e9244f02
89
782,698,033
train
2025-09-19T08:34:41.105537
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 782698033, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [16.1, -9.1, 26.5])</answer>", "action": "('rotate', [16.1, -9.1, 26.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [16.1, -9.1, 26.5])</answer>", "action": "('rotate', [16.1, -9.1, 26.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [16.1, -9.1, 26.5])</answer>", "action": "('rotate', [16.1, -9.1, 26.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
32f11ef53bf3f8ae18548ff206b664f9aae2b5128dc13cb6313243d6e676c406
90
2,845,511,527
train
2025-09-19T08:34:43.748757
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2845511527, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [29.9, 15.6, -28.6])</answer>", "action": "('rotate', [29.9, 15.6, -28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [29.9, 15.6, -28.6])</answer>", "action": "('rotate', [29.9, 15.6, -28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [29.9, 15.6, -28.6])</answer>", "action": "('rotate', [29.9, 15.6, -28.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
2e5386bda793d28b7fc75838c8faddbb2a0c028ac537ea668bb8e747379cee35
91
3,244,252,547
train
2025-09-19T08:34:45.564820
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 3244252547, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.1, 18.9, 17.4])</answer>", "action": "('rotate', [-30.1, 18.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.1, 18.9, 17.4])</answer>", "action": "('rotate', [-30.1, 18.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-30.1, 18.9, 17.4])</answer>", "action": "('rotate', [-30.1, 18.9, 17.4])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
214d38773746f071a790010e9af2e67d9be9466fb47a68b8891b85f9d0914579
92
1,338,788,865
train
2025-09-19T08:34:47.153855
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1338788865, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.9, -13.7, 36.6])</answer>", "action": "('rotate', [23.9, -13.7, 36.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.9, -13.7, 36.6])</answer>", "action": "('rotate', [23.9, -13.7, 36.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [23.9, -13.7, 36.6])</answer>", "action": "('rotate', [23.9, -13.7, 36.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
a019c75c88e2dd8d3a2d3b69081633484e79d17e988ee4bf79aa27eba71c90a7
93
1,826,030,589
train
2025-09-19T08:34:48.378167
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 1826030589, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.4, 2.5, 28.5])</answer>", "action": "('rotate', [47.4, 2.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.4, 2.5, 28.5])</answer>", "action": "('rotate', [47.4, 2.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [47.4, 2.5, 28.5])</answer>", "action": "('rotate', [47.4, 2.5, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
49c57aec39dd77f7e5e29501031d8800b4ff7a098d61afd7b66839cea48f0cfb
94
2,233,675,141
train
2025-09-19T08:34:49.632340
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2233675141, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, -1.3, -29.5])</answer>", "action": "('rotate', [30.7, -1.3, -29.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, -1.3, -29.5])</answer>", "action": "('rotate', [30.7, -1.3, -29.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [30.7, -1.3, -29.5])</answer>", "action": "('rotate', [30.7, -1.3, -29.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
1e37924a0b3f62fcec97c2469f2c43f49b689618c36137913d882fbf1e1490ad
95
893,102,645
train
2025-09-19T08:34:51.298206
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 893102645, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-23.5, -14.8, 48.6])</answer>", "action": "('rotate', [-23.5, -14.8, 48.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-23.5, -14.8, 48.6])</answer>", "action": "('rotate', [-23.5, -14.8, 48.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-23.5, -14.8, 48.6])</answer>", "action": "('rotate', [-23.5, -14.8, 48.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
7807d59cd374b7e02560350434b31851d39a029d87f0e84a80c344eddfdb9cfe
96
2,348,102,761
train
2025-09-19T08:34:52.605635
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2348102761, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.5, 26.6, -40.6])</answer>", "action": "('rotate', [-5.5, 26.6, -40.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.5, 26.6, -40.6])</answer>", "action": "('rotate', [-5.5, 26.6, -40.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-5.5, 26.6, -40.6])</answer>", "action": "('rotate', [-5.5, 26.6, -40.6])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
ef0ede56ecf3ebffdb353228e59bd62223fc987905156ffd57ea9fac8101b592
97
2,438,254,339
train
2025-09-19T08:34:54.259272
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 2438254339, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.2, -21.9, 28.5])</answer>", "action": "('rotate', [-40.2, -21.9, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.2, -21.9, 28.5])</answer>", "action": "('rotate', [-40.2, -21.9, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-40.2, -21.9, 28.5])</answer>", "action": "('rotate', [-40.2, -21.9, 28.5])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
cbda2aab3774ca9fd1bb8683bade81cc205816ae13a1e91e26f5fe1520667a33
98
793,943,861
train
2025-09-19T08:34:55.513609
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 793943861, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [32.5, 1.5, 23.0])</answer>", "action": "('rotate', [32.5, 1.5, 23.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [32.5, 1.5, 23.0])</answer>", "action": "('rotate', [32.5, 1.5, 23.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [32.5, 1.5, 23.0])</answer>", "action": "('rotate', [32.5, 1.5, 23.0])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
null
991cf8decf6697392fb41283c23b35783a6a781d431b5e0899d93df1d141d9d9
99
134,489,564
train
2025-09-19T08:34:57.174844
null
{ "env_repr": "<OrderEnforcing<Rotation3DEnv<mental_rotation_3d/mental_rotation-3d>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x73be16ff7dd0>", "max_steps": 20, "abs_size": 336, "master_seed": 42, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": { "num_steps": 3 }, "enable_reasoning": true, "reasoner_class": null }
{ "render": false, "seed": 134489564, "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 }
{ "step": 4, "reward": 1, "terminated": true, "truncated": false }
[ { "step": 0, "prompt": "You see two images side-by-side:\n- Left: the original 3D object (identity orientation)\n- Right: the object under an unknown rotation\n\nYour goal is to rotate the right object back to identity.\n\nAvailable actions:\n1. 'rotate': Rotate the 3D object by Euler angles. Format: `('rotate', [dyaw, dpitch, droll])` where each of dyaw, dpitch, droll is in degrees between -180 and 180.\n2. 'stop': Submit your final rotation. Format: `('stop', 'stop')`\n\nSuccess: You succeed if you end up within 5.0 degrees of identity.\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- To rotate in yaw: `('rotate', [15.0, 0.0, 0.0])`\n- To rotate in roll: `('rotate', [0.0, 0.0, -10.0])`\n- To submit: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>…</think> and give the final result in <answer>…</answer>.\nThis is step 1. You are allowed to take 20 more steps.", "vlm_output": "<think></think><answer>('rotate', [-35.6, 6.3, 46.1])</answer>", "action": "('rotate', [-35.6, 6.3, 46.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 19 more steps.", "vlm_output": "<think></think><answer>('rotate', [-35.6, 6.3, 46.1])</answer>", "action": "('rotate', [-35.6, 6.3, 46.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 18 more steps.", "vlm_output": "<think></think><answer>('rotate', [-35.6, 6.3, 46.1])</answer>", "action": "('rotate', [-35.6, 6.3, 46.1])", "reward": 0, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" }, { "step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 17 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1, "image": 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"info": { "env_feedback": "Action executed successfully." }, "think": "<think></think>" } ]
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