{"episode": 0, "episode_seed": 1235361506, "split": "val", "timestamp": "2025-10-13T03:12:03.337378", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1235361506, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-16.3, -16.4, -2.2])</answer>", "action": "('move', [-16.3, -16.4, -2.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "7752dba81b3b0b09b4d2a429dc41967e223cb40301e89d7036ac04d6b830a749"}
{"episode": 1, "episode_seed": 4079980500, "split": "val", "timestamp": "2025-10-13T03:12:03.645864", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4079980500, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-16.4, 6.3, 23.1])</answer>", "action": "('move', [-16.4, 6.3, 23.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "f4d81636464562bc0bae8f833e13a219f284888b3cd7edf955d2a531b0cb553a"}
{"episode": 2, "episode_seed": 1995527710, "split": "val", "timestamp": "2025-10-13T03:12:03.956553", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1995527710, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.4, 5.1, 29.2])</answer>", "action": "('move', [2.4, 5.1, 29.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "1b5ed5980196101b3f760266c1c62982f4dcdef3927c21b9f60612f4dc27484c"}
{"episode": 3, "episode_seed": 1732700945, "split": "val", "timestamp": "2025-10-13T03:12:04.267701", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1732700945, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-48.0, 13.4, 54.5])</answer>", "action": "('move', [-48.0, 13.4, 54.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "bdb97c066b80bbdb1a53b4da8157819d90cb4fa700740085290bbef90842461f"}
{"episode": 4, "episode_seed": 3156827999, "split": "val", "timestamp": "2025-10-13T03:12:04.840440", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3156827999, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-462.3, 367.9, 5.5])</answer>", "action": "('move', [-462.3, 367.9, 5.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "bc4134022976b4022e172271732af596d6b59f20d0d38ad9f8863f852af18189"}
{"episode": 5, "episode_seed": 3913464663, "split": "val", "timestamp": "2025-10-13T03:12:05.144767", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3913464663, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [1.6, -3.3, -10.6])</answer>", "action": "('move', [1.6, -3.3, -10.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "846bec0bbe6d9dd0ff8a13b182b18483cc423f55a7d26b80134db25757700329"}
{"episode": 6, "episode_seed": 1707066717, "split": "val", "timestamp": "2025-10-13T03:12:05.449726", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1707066717, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [0.3, 2.3, -40.4])</answer>", "action": "('move', [0.3, 2.3, -40.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "d892961d10eaf5b00572ac03403c39ee84ef8c4e54c7cc7baab2788ffb62e317"}
{"episode": 7, "episode_seed": 1660005348, "split": "val", "timestamp": "2025-10-13T03:12:05.755617", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1660005348, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [23.7, -3.0, 21.4])</answer>", "action": "('move', [23.7, -3.0, 21.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "3bb9fddefa8866894e4d39f3501c4ce545181111632172bc296b38866eca718c"}
{"episode": 8, "episode_seed": 3797601602, "split": "val", "timestamp": "2025-10-13T03:12:06.059415", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3797601602, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [0.6, -1.2, -56.8])</answer>", "action": "('move', [0.6, -1.2, -56.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "74e1648e9a64dc8b4b1cd765944cd70314e0291a9648da6d3d308445f4f2518b"}
{"episode": 9, "episode_seed": 920291481, "split": "val", "timestamp": "2025-10-13T03:12:06.662903", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 920291481, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.2, 8.9, -5.8])</answer>", "action": "('move', [-1.2, 8.9, -5.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "dcf2657514516c75f892d3c0ee9ce3377dd95c5bbddeca7f7fde23447761bf9f"}
{"episode": 10, "episode_seed": 2119293095, "split": "val", "timestamp": "2025-10-13T03:12:06.975700", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2119293095, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [10.0, -6.4, 64.1])</answer>", "action": "('move', [10.0, -6.4, 64.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "acb71199f88634e6b58447a2520c9375439ae8ce96c0ab776e952633c29fb3c5"}
{"episode": 11, "episode_seed": 2052408918, "split": "val", "timestamp": "2025-10-13T03:12:07.281662", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2052408918, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-37.4, -42.5, 84.4])</answer>", "action": "('move', [-37.4, -42.5, 84.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ab99635b6d39ac709bbfd9472198c3867457fd843e81c93e752095bf0d654f37"}
{"episode": 12, "episode_seed": 193618377, "split": "val", "timestamp": "2025-10-13T03:12:07.596973", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 193618377, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [97.9, 88.9, -60.5])</answer>", "action": "('move', [97.9, 88.9, -60.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "2ff263dd8312f2410d255af17bb2e0dc2087700440174826280da1c277560426"}
{"episode": 13, "episode_seed": 462918311, "split": "val", "timestamp": "2025-10-13T03:12:07.898931", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 462918311, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-6.3, 3.0, -4.8])</answer>", "action": "('move', [-6.3, 3.0, -4.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "db2d2424cc39df366ef3345f773abc286b40f5646a34818af13fe0d1e34165f1"}
{"episode": 14, "episode_seed": 564750595, "split": "val", "timestamp": "2025-10-13T03:12:08.461013", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 564750595, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.6, 1.0, -40.6])</answer>", "action": "('move', [-1.6, 1.0, -40.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "18446abbf9f65c1a0e70b54aa2a48e4da92d60017533efbbdaa9dc55fcabdae2"}
{"episode": 15, "episode_seed": 2590526157, "split": "val", "timestamp": "2025-10-13T03:12:08.765633", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2590526157, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [26.6, 33.1, -65.4])</answer>", "action": "('move', [26.6, 33.1, -65.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "adf56bfedb451bcd56990ee0a65d15335074ce9eb1bf842a23016244ee27e9e4"}
{"episode": 16, "episode_seed": 2562151457, "split": "val", "timestamp": "2025-10-13T03:12:09.078027", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2562151457, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-10.8, -12.8, -39.4])</answer>", "action": "('move', [-10.8, -12.8, -39.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "11df1f55d8735287677128ad83869773396fdf7a358aa3ca08fc50e73e724215"}
{"episode": 17, "episode_seed": 1351567407, "split": "val", "timestamp": "2025-10-13T03:12:09.384728", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1351567407, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [8.2, 9.0, 87.7])</answer>", "action": "('move', [8.2, 9.0, 87.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "2d45219e669c004fd788040dfc13eb72f260ebf342d813bf56a30e779d06b2c1"}
{"episode": 18, "episode_seed": 3045310541, "split": "val", "timestamp": "2025-10-13T03:12:09.689298", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3045310541, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.8, 40.3, 14.2])</answer>", "action": "('move', [2.8, 40.3, 14.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "1e140fcf93864e91c78634da3ecf84951397febd9bc73e4c00daa0c44b6a8a5a"}
{"episode": 19, "episode_seed": 1800758416, "split": "val", "timestamp": "2025-10-13T03:12:10.245373", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1800758416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-62.8, 46.2, 36.5])</answer>", "action": "('move', [-62.8, 46.2, 36.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "abe92e72d7d00eda0e94b056ebef874c5b5af1c11dd129b61b04276709acbb51"}
{"episode": 20, "episode_seed": 2798445882, "split": "val", "timestamp": "2025-10-13T03:12:10.548476", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2798445882, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [9.4, 4.7, 22.7])</answer>", "action": "('move', [9.4, 4.7, 22.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "caa6527d5c7a3e646f3c200dab2660ace3eac0bb27ccdf987d508f94c81704df"}
{"episode": 21, "episode_seed": 312638300, "split": "val", "timestamp": "2025-10-13T03:12:10.850673", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 312638300, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [44.1, -138.2, 47.7])</answer>", "action": "('move', [44.1, -138.2, 47.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "a25cd0bf0abec0146f74ad948192e667a5fd6c34de102360efb673001518b4de"}
{"episode": 22, "episode_seed": 3603496388, "split": "val", "timestamp": "2025-10-13T03:12:11.153351", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3603496388, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 11.4, 78.8])</answer>", "action": "('move', [1.0, 11.4, 78.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ca95e0f6a329b21513007cfbb08d40da21abad84215d513ccc89230efaa03465"}
{"episode": 23, "episode_seed": 2469243283, "split": "val", "timestamp": "2025-10-13T03:12:11.456481", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2469243283, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [106.0, -2.1, 42.7])</answer>", "action": "('move', [106.0, -2.1, 42.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "a9b946bf1b62d85205d73f843a10053dc18963ab989aa93c86e8a4ac2a0a61c1"}
{"episode": 24, "episode_seed": 746165845, "split": "val", "timestamp": "2025-10-13T03:12:12.012111", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 746165845, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [16.8, -16.9, -35.5])</answer>", "action": "('move', [16.8, -16.9, -35.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9b7ae1d18894a712f378d35af41c62301f56e131f2a74291608ef878f03ff75f"}
{"episode": 25, "episode_seed": 2237471791, "split": "val", "timestamp": "2025-10-13T03:12:12.315895", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2237471791, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.5, -0.2, -13.4])</answer>", "action": "('move', [2.5, -0.2, -13.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0b8cb52d3cd25998b635af516c3dc5aef1d8de3358d82bdcb472a2b8e139de46"}
{"episode": 26, "episode_seed": 2618369027, "split": "val", "timestamp": "2025-10-13T03:12:12.621120", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2618369027, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.1, -1.5, 51.3])</answer>", "action": "('move', [-1.1, -1.5, 51.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "24121fee0709bbe8e921a81a246a95307144e45fc11e9b90185ae2a298db7725"}
{"episode": 27, "episode_seed": 4179606460, "split": "val", "timestamp": "2025-10-13T03:12:12.924121", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4179606460, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-4.8, -3.5, -61.1])</answer>", "action": "('move', [-4.8, -3.5, -61.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "5ec1aa47986836b41652fa33d6cd6bc959756e63dc893b1c26686715e9433f88"}
{"episode": 28, "episode_seed": 198593019, "split": "val", "timestamp": "2025-10-13T03:12:13.226658", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 198593019, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [13.5, -4.5, 81.1])</answer>", "action": "('move', [13.5, -4.5, 81.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "69f4371063f35ddce3824b36f9d8f5c39020cc042aba2f26a2f16dce68e45e78"}
{"episode": 29, "episode_seed": 3046361863, "split": "val", "timestamp": "2025-10-13T03:12:13.781575", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3046361863, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [66.2, 5.9, -43.6])</answer>", "action": "('move', [66.2, 5.9, -43.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "7588ab440febac45b95e2c46922c0c64cdf7e6d0c58f16fc522945d85a86355d"}
{"episode": 30, "episode_seed": 2273130549, "split": "val", "timestamp": "2025-10-13T03:12:14.084860", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2273130549, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [9.9, -4.2, 24.2])</answer>", "action": "('move', [9.9, -4.2, 24.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "62bef2f3a795f3cfd36b43ef59921fb2d45869b1899b69d01eb8f4a882d58576"}
{"episode": 31, "episode_seed": 4245810280, "split": "val", "timestamp": "2025-10-13T03:12:14.387894", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4245810280, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-31.8, 13.0, -21.2])</answer>", "action": "('move', [-31.8, 13.0, -21.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "3060ab690edb01ac02889d6d8dd0f55efc0a760b234a0ba2f59e4782133b38cb"}
{"episode": 32, "episode_seed": 2898335060, "split": "val", "timestamp": "2025-10-13T03:12:14.691381", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2898335060, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [23.6, 17.7, -80.5])</answer>", "action": "('move', [23.6, 17.7, -80.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9b41af1f123d702b53c5d53d5dd4f8c6e9acef98fc03f79f8c029c3ea24b83d4"}
{"episode": 33, "episode_seed": 1429362127, "split": "val", "timestamp": "2025-10-13T03:12:14.994821", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1429362127, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-3.1, 0.8, -24.9])</answer>", "action": "('move', [-3.1, 0.8, -24.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "83f90a9086a0c68d1ca77afc72f19ec2da8cdc7f97e5b7cbbcce6f412e49f838"}
{"episode": 34, "episode_seed": 1875494210, "split": "val", "timestamp": "2025-10-13T03:12:15.549265", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1875494210, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [5.0, 12.3, 1.3])</answer>", "action": "('move', [5.0, 12.3, 1.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8b9dd72b7008b304b3aa12d332fc7845c9ac6f2a29ee2724276a068dc2196690"}
{"episode": 35, "episode_seed": 165482060, "split": "val", "timestamp": "2025-10-13T03:12:15.852862", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 165482060, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.8, -13.2, -48.0])</answer>", "action": "('move', [3.8, -13.2, -48.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "c4555f5a4a404696a4c33f80c809f3d2c70cfe0b842564a610e7a791c0c2e17e"}
{"episode": 36, "episode_seed": 3677643790, "split": "val", "timestamp": "2025-10-13T03:12:16.157755", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3677643790, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-25.0, 394.7, 21.2])</answer>", "action": "('move', [-25.0, 394.7, 21.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "42a3d4f17084c017a922bcc5315c4ec4f55f6086a592ab67f80d767669f30ea3"}
{"episode": 37, "episode_seed": 1257744943, "split": "val", "timestamp": "2025-10-13T03:12:16.463206", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1257744943, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.3, -0.6, 43.6])</answer>", "action": "('move', [2.3, -0.6, 43.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "b6e003410b363e9a83fe8bf28867df58df3eb820704f05a5bbe439e50fd9c71d"}
{"episode": 38, "episode_seed": 2630196044, "split": "val", "timestamp": "2025-10-13T03:12:16.766566", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2630196044, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-165.3, -121.2, -76.4])</answer>", "action": "('move', [-165.3, -121.2, -76.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "2892e3dc23ddb2717e7d660ff0d3d8555897e5e32cbcf920af81fd156304ba9a"}
{"episode": 39, "episode_seed": 3297513124, "split": "val", "timestamp": "2025-10-13T03:12:17.330140", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3297513124, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [10.0, -3.8, -45.4])</answer>", "action": "('move', [10.0, -3.8, -45.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0bdf5677e95acb8e3efe5f8d938ed660f26fa4a84bd96e86ec6eae056758ee35"}
{"episode": 40, "episode_seed": 1821465257, "split": "val", "timestamp": "2025-10-13T03:12:17.634809", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1821465257, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [164.8, -44.3, 76.8])</answer>", "action": "('move', [164.8, -44.3, 76.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "4c10c2415f2c7be169e2d2efbea2249240261752d529bf3170b7fb37767c858c"}
{"episode": 41, "episode_seed": 455307913, "split": "val", "timestamp": "2025-10-13T03:12:17.941929", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 455307913, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-11.8, 30.0, -83.4])</answer>", "action": "('move', [-11.8, 30.0, -83.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "5897f268ca8cda2354ea42bc7cf4fcbdec4a5126c404139e35912510247198d6"}
{"episode": 42, "episode_seed": 2542378040, "split": "val", "timestamp": "2025-10-13T03:12:18.245931", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2542378040, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [16.0, -34.9, -37.3])</answer>", "action": "('move', [16.0, -34.9, -37.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "80a482b0cd50c4b2d36381efe114da69147a7608da14aeccc650c3f288408830"}
{"episode": 43, "episode_seed": 3631700461, "split": "val", "timestamp": "2025-10-13T03:12:18.548477", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3631700461, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-14.3, -31.2, -68.7])</answer>", "action": "('move', [-14.3, -31.2, -68.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "e97c43d6197fbce973ddb3d1934b455b9a65f76aacc27bbe56171826a527d8b5"}
{"episode": 44, "episode_seed": 738763825, "split": "val", "timestamp": "2025-10-13T03:12:19.103883", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 738763825, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-14.0, -1.7, 71.1])</answer>", "action": "('move', [-14.0, -1.7, 71.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9648564e73d4c046139b4e82a75ca588d03760cc76a433f739e72029b556d126"}
{"episode": 45, "episode_seed": 1574718956, "split": "val", "timestamp": "2025-10-13T03:12:19.407112", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1574718956, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-90.3, 125.3, 49.1])</answer>", "action": "('move', [-90.3, 125.3, 49.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "a0f62f17deca46e83f2fec511448808b4f387dbe0f31659f285fd6423f34941c"}
{"episode": 46, "episode_seed": 2419049537, "split": "val", "timestamp": "2025-10-13T03:12:19.715672", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2419049537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.9, 2.5, 38.5])</answer>", "action": "('move', [-1.9, 2.5, 38.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9cccb735982234d0d295346c26ca04cea5a46d6a4e20ec7629b8419ae64a2dfa"}
{"episode": 47, "episode_seed": 1968917083, "split": "val", "timestamp": "2025-10-13T03:12:20.021501", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1968917083, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [4.3, 2.2, 47.3])</answer>", "action": "('move', [4.3, 2.2, 47.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "e3a845a459823edca203d839d36e7f44a166b9460e5773825d55d5a60765913d"}
{"episode": 48, "episode_seed": 3033691579, "split": "val", "timestamp": "2025-10-13T03:12:20.325202", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3033691579, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-138.6, -153.6, 8.8])</answer>", "action": "('move', [-138.6, -153.6, 8.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ae158c88102ee4218949c4a8d4ec4b9f8ab4bbb1b530b245e938d53a1af8bfbe"}
{"episode": 49, "episode_seed": 4146132961, "split": "val", "timestamp": "2025-10-13T03:12:20.881226", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4146132961, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-13.4, -240.8, 38.7])</answer>", "action": "('move', [-13.4, -240.8, 38.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8dd11e21e4710cbd4a097e2dc6c769c1211d059bbbc4580ea26fcea331704ba2"}
{"episode": 50, "episode_seed": 670580550, "split": "val", "timestamp": "2025-10-13T03:12:21.185205", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 670580550, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-6.8, -15.5, 34.8])</answer>", "action": "('move', [-6.8, -15.5, 34.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "98499a9a1b9ab9edd50b65e77b83c4502495757c8860069c4d41d0576c759936"}
{"episode": 51, "episode_seed": 123429869, "split": "val", "timestamp": "2025-10-13T03:12:21.488233", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 123429869, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-17.0, 7.4, 14.3])</answer>", "action": "('move', [-17.0, 7.4, 14.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "cdd8e965b907f445a99f8347c548b68760844d8eae275db058954793d9a3e9b4"}
{"episode": 52, "episode_seed": 4033754987, "split": "val", "timestamp": "2025-10-13T03:12:21.792126", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4033754987, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.5, -3.7, -40.5])</answer>", "action": "('move', [-1.5, -3.7, -40.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "d86061b4ad67ac65f96c6cb5e0bf4356af76ba8d5bf8bd3d73595ec53d22ac47"}
{"episode": 53, "episode_seed": 2397781734, "split": "val", "timestamp": "2025-10-13T03:12:22.094879", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2397781734, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-8.5, 3.2, 87.6])</answer>", "action": "('move', [-8.5, 3.2, 87.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "a65cf2d83b785ecb97395c4f8bb2c099736fe247f4dea8c5ecb7149a8dc3349d"}
{"episode": 54, "episode_seed": 38261409, "split": "val", "timestamp": "2025-10-13T03:12:22.649992", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 38261409, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.6, 6.6, 6.9])</answer>", "action": "('move', [3.6, 6.6, 6.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "284e3a8929736c63db8751a15da605233845281a187444d2490c2985709623c5"}
{"episode": 55, "episode_seed": 1987969011, "split": "val", "timestamp": "2025-10-13T03:12:22.951916", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1987969011, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-2.1, 31.6, -32.6])</answer>", "action": "('move', [-2.1, 31.6, -32.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "04bf994d3fc419b255629c297bde4a855ac63802f6d82cc7c704579bcde2803c"}
{"episode": 56, "episode_seed": 3770671948, "split": "val", "timestamp": "2025-10-13T03:12:23.252577", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3770671948, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-8.3, 12.1, -51.7])</answer>", "action": "('move', [-8.3, 12.1, -51.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "251defa98a52ac74476e28c8763cd2b01a29d0371f9b16790dcc337c7e73c693"}
{"episode": 57, "episode_seed": 156036976, "split": "val", "timestamp": "2025-10-13T03:12:23.555876", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 156036976, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-17.3, 37.4, 77.5])</answer>", "action": "('move', [-17.3, 37.4, 77.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "6078892b504d6c1f44c5cd135a051d394af05ff22ae0722bbc7daecb886f3143"}
{"episode": 58, "episode_seed": 1969776424, "split": "val", "timestamp": "2025-10-13T03:12:23.857559", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1969776424, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.4, -3.0, 56.5])</answer>", "action": "('move', [2.4, -3.0, 56.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "7e018e24ed6ca3688c8c58c8578a847815bd8e7c6ce0e289be521c02a3dcb0e6"}
{"episode": 59, "episode_seed": 1693840116, "split": "val", "timestamp": "2025-10-13T03:12:24.423698", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1693840116, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-62.1, -66.0, -8.0])</answer>", "action": "('move', [-62.1, -66.0, -8.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "4896b7cdd16160ae1f766491078cc5f740fdd09e13be6c3a03a5adc203d1b72d"}
{"episode": 60, "episode_seed": 3201670768, "split": "val", "timestamp": "2025-10-13T03:12:24.726842", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3201670768, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-29.2, 18.9, 4.9])</answer>", "action": "('move', [-29.2, 18.9, 4.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "029fe2733bb707b24dbf7f10738fd1a26229e750ee00b757741887b6b1a7c1c2"}
{"episode": 61, "episode_seed": 2937587138, "split": "val", "timestamp": "2025-10-13T03:12:25.028471", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2937587138, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-0.1, -0.7, 38.6])</answer>", "action": "('move', [-0.1, -0.7, 38.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ded26ed25a9818085b422e59bc0d7aa6aee13531a42d3793d99dd310d779d348"}
{"episode": 62, "episode_seed": 51844655, "split": "val", "timestamp": "2025-10-13T03:12:25.331628", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 51844655, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.5, -6.1, 33.7])</answer>", "action": "('move', [2.5, -6.1, 33.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "3cf0322516e4c4c8eff216a05279cbb9609ee56777db846e16f7d4985c193cbd"}
{"episode": 63, "episode_seed": 4025322284, "split": "val", "timestamp": "2025-10-13T03:12:25.631927", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4025322284, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.2, 68.4])</answer>", "action": "('move', [-1.0, 1.2, 68.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "81656b4b74f7fc2dcc268e3ad6d33b74b37a10237364a2e71b128cced54d6ded"}
{"episode": 64, "episode_seed": 1533278907, "split": "val", "timestamp": "2025-10-13T03:12:26.200650", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1533278907, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-0.8, 2.1, -30.5])</answer>", "action": "('move', [-0.8, 2.1, -30.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9d493572bab5b5c647b057de387beb8b6370465086498718a166fa7eaf4757f5"}
{"episode": 65, "episode_seed": 2998687051, "split": "val", "timestamp": "2025-10-13T03:12:26.503284", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2998687051, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-0.6, 0.6, -12.2])</answer>", "action": "('move', [-0.6, 0.6, -12.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "b58bcef77fc09caf5d9d2d218d7ecc0efdc14481a96f24eceebe950f73fdcd1a"}
{"episode": 66, "episode_seed": 4020358375, "split": "val", "timestamp": "2025-10-13T03:12:26.806909", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4020358375, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-689.4, 803.7, -41.6])</answer>", "action": "('move', [-689.4, 803.7, -41.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "6f799812155b191b86acea59968275f1722c787fafc9322672f7eb67b595f393"}
{"episode": 67, "episode_seed": 690045891, "split": "val", "timestamp": "2025-10-13T03:12:27.110640", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 690045891, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [5.5, 0.2, -74.2])</answer>", "action": "('move', [5.5, 0.2, -74.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "37996f37ab488d0b12c0ac596821852c1c1ec92a1edac6abcd7592287aee168e"}
{"episode": 68, "episode_seed": 3118203831, "split": "val", "timestamp": "2025-10-13T03:12:27.414227", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3118203831, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-4.7, 1.5, -62.9])</answer>", "action": "('move', [-4.7, 1.5, -62.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "6625a085fd1623c2eed0313ee45bd3383474285aa057691f775c307c09b0ecc2"}
{"episode": 69, "episode_seed": 2446600126, "split": "val", "timestamp": "2025-10-13T03:12:27.982669", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2446600126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-18.7, -34.4, 24.3])</answer>", "action": "('move', [-18.7, -34.4, 24.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0311d997026e9ab96a197cfb6a412bade843bcc3739155ac95467e9bb834e04f"}
{"episode": 70, "episode_seed": 2684160448, "split": "val", "timestamp": "2025-10-13T03:12:28.288769", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2684160448, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.7, -5.5, 56.2])</answer>", "action": "('move', [3.7, -5.5, 56.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "7c3f98c11b8409d6c26fc1b1d5b5f1167d8911ec51443ecff129fdb32c018715"}
{"episode": 71, "episode_seed": 2273473165, "split": "val", "timestamp": "2025-10-13T03:12:28.593439", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2273473165, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [367.0, -271.1, -71.8])</answer>", "action": "('move', [367.0, -271.1, -71.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "97974abbab48d8a3899080d7135d4c3a30c9b9073f74344a5c4d4733ac90fc53"}
{"episode": 72, "episode_seed": 4033062350, "split": "val", "timestamp": "2025-10-13T03:12:28.901770", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4033062350, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [45.9, 64.7, 50.6])</answer>", "action": "('move', [45.9, 64.7, 50.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "44a0aa97785389c125726b2ab090d3cade760fb3079d4c03de24b4404e96f9a2"}
{"episode": 73, "episode_seed": 2132465945, "split": "val", "timestamp": "2025-10-13T03:12:29.205938", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2132465945, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.4, 60.0, 15.4])</answer>", "action": "('move', [3.4, 60.0, 15.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "95cc7b83d350bc44e6b048a7266730258ba9196caab0c36b6f0d7635c548247a"}
{"episode": 74, "episode_seed": 2829772548, "split": "val", "timestamp": "2025-10-13T03:12:29.771412", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2829772548, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [16.3, 31.6, -64.3])</answer>", "action": "('move', [16.3, 31.6, -64.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "194210512557d37207901e306fbd5461c49a5cb225f70f6800b4764e5d61aabe"}
{"episode": 75, "episode_seed": 224797885, "split": "val", "timestamp": "2025-10-13T03:12:30.076315", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 224797885, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.9, -9.2, -85.3])</answer>", "action": "('move', [-1.9, -9.2, -85.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "d1eafc56a807ec4b8f6b8e87efdbc067e87ce5d1cf12ae43ab45cc16e155309c"}
{"episode": 76, "episode_seed": 2966405271, "split": "val", "timestamp": "2025-10-13T03:12:30.380625", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2966405271, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-15.1, -16.5, -15.1])</answer>", "action": "('move', [-15.1, -16.5, -15.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "2fb401e970c1be099624d5bb9d0c5bfb75d3ee6859815367fcca33d5502be263"}
{"episode": 77, "episode_seed": 2662435633, "split": "val", "timestamp": "2025-10-13T03:12:30.688424", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2662435633, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [8.5, -2.8, -72.8])</answer>", "action": "('move', [8.5, -2.8, -72.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "63cecfea65987f0e2975a78b1c3d6190d0a56e03bdfe3f6c54d654e49e6c57ff"}
{"episode": 78, "episode_seed": 796230469, "split": "val", "timestamp": "2025-10-13T03:12:30.993192", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 796230469, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-79.7, 119.5, 54.0])</answer>", "action": "('move', [-79.7, 119.5, 54.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0ce35d8a6976cdefc46cf5482488a4fd245f74dcfbea2354ee4e7e6bfe4c54cd"}
{"episode": 79, "episode_seed": 939688907, "split": "val", "timestamp": "2025-10-13T03:12:31.559378", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 939688907, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [8.0, 2.8, -8.9])</answer>", "action": "('move', [8.0, 2.8, -8.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "36b0a46971af605e9469cd8979654b65479a2743db3008705674f391742d0b44"}
{"episode": 80, "episode_seed": 36928225, "split": "val", "timestamp": "2025-10-13T03:12:31.865206", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 36928225, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-5.6, -0.1, -72.0])</answer>", "action": "('move', [-5.6, -0.1, -72.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "f9fc734fa7f02990ec4134441a4af1f24ae221dfc750e4bce729d6c49468cdcd"}
{"episode": 81, "episode_seed": 2578226913, "split": "val", "timestamp": "2025-10-13T03:12:32.174075", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2578226913, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [7.3, 0.7, -85.6])</answer>", "action": "('move', [7.3, 0.7, -85.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "1abb4cd966ed7fa90bb9d2d9908d2e85ad74265c2ff742961bc546de499919d2"}
{"episode": 82, "episode_seed": 1975584416, "split": "val", "timestamp": "2025-10-13T03:12:32.479629", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1975584416, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [13.5, -33.7, 46.6])</answer>", "action": "('move', [13.5, -33.7, 46.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "2dadaff978c5abe26d5bb1ce6c72c5d2b75da6f087477f239cfe82df9c4a3cd1"}
{"episode": 83, "episode_seed": 864623751, "split": "val", "timestamp": "2025-10-13T03:12:32.783986", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 864623751, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.4, -0.2, 55.6])</answer>", "action": "('move', [2.4, -0.2, 55.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "a0eb0f57f9b0a0397e199a3bbd03c03357e0557ce51a04856eee7a1009721eb7"}
{"episode": 84, "episode_seed": 3574253815, "split": "val", "timestamp": "2025-10-13T03:12:33.360554", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3574253815, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -2.6, -8.3])</answer>", "action": "('move', [-1.0, -2.6, -8.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "515fec8c7595a0f10144adf87ce392f17474cdb6ffb1173ff3b8c3b287947c0e"}
{"episode": 85, "episode_seed": 1115869500, "split": "val", "timestamp": "2025-10-13T03:12:33.664078", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1115869500, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [221.5, 11.4, 69.4])</answer>", "action": "('move', [221.5, 11.4, 69.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ffe2c91cf60ad8954b064834a25163ec2269fbbb728fb70ad78591714413797f"}
{"episode": 86, "episode_seed": 1280823986, "split": "val", "timestamp": "2025-10-13T03:12:33.966319", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1280823986, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.3, -0.5, -74.0])</answer>", "action": "('move', [3.3, -0.5, -74.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0e121a2d6f39e0dc289863d999869fbc0115552bd9c855f52c61caad972f55a1"}
{"episode": 87, "episode_seed": 548099471, "split": "val", "timestamp": "2025-10-13T03:12:34.275438", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 548099471, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [118.5, 467.3, -88.2])</answer>", "action": "('move', [118.5, 467.3, -88.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "90e53f28db60804b18eb3a95d8dfc9133c2155ff5a1877fd31d903ef29284978"}
{"episode": 88, "episode_seed": 2521199143, "split": "val", "timestamp": "2025-10-13T03:12:34.581774", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2521199143, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -1.7, -60.6])</answer>", "action": "('move', [2.0, -1.7, -60.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "3fefd030205bbc73afc0b3ef496741a990a69936bb4a2712ed455e6468328355"}
{"episode": 89, "episode_seed": 1257335964, "split": "val", "timestamp": "2025-10-13T03:12:35.156149", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1257335964, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-7.5, 10.2, -87.8])</answer>", "action": "('move', [-7.5, 10.2, -87.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "844690c278441b5b349df8a8bfe20480a2ef04ee728b19f45ef8993ba94287b9"}
{"episode": 90, "episode_seed": 1567821516, "split": "val", "timestamp": "2025-10-13T03:12:35.462634", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1567821516, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [21.3, 55.6, 36.5])</answer>", "action": "('move', [21.3, 55.6, 36.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "46fe18e8c3b2d1f82a0cc223b5f48d6496476a1629e7d23802972bf162b2e53e"}
{"episode": 91, "episode_seed": 2301904464, "split": "val", "timestamp": "2025-10-13T03:12:35.765727", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2301904464, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-18.6, 4.8, -79.2])</answer>", "action": "('move', [-18.6, 4.8, -79.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "6ae920f775c574d7bf2de7042a528d6a05ac692c1d5e33db2e2e07ada2377074"}
{"episode": 92, "episode_seed": 775681233, "split": "val", "timestamp": "2025-10-13T03:12:36.072348", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 775681233, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-2.8, 0.8, -60.9])</answer>", "action": "('move', [-2.8, 0.8, -60.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "db4fc7a6192c4db5778004ca4764663c74bc82d95769dc7b50a43908ada0fc76"}
{"episode": 93, "episode_seed": 3504951778, "split": "val", "timestamp": "2025-10-13T03:12:36.377417", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3504951778, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-3.5, 9.0, -46.9])</answer>", "action": "('move', [-3.5, 9.0, -46.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "71b3b5dbecfed6a07e7e1dde136a13bd134acd1338f83e93a2465b6fdbe9609d"}
{"episode": 94, "episode_seed": 3104300817, "split": "val", "timestamp": "2025-10-13T03:12:36.958826", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3104300817, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.4, -13.6, 63.4])</answer>", "action": "('move', [2.4, -13.6, 63.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "d1b109257621a0160aa4ae093b4aeabab35b9cf5ef890c50146a7fe1540f590d"}
{"episode": 95, "episode_seed": 2486490338, "split": "val", "timestamp": "2025-10-13T03:12:37.263006", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2486490338, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [296.8, 174.5, -68.0])</answer>", "action": "('move', [296.8, 174.5, -68.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "7c5300c63b28796bac9b73f2b80d869968bd1168f47c7c2b781ba0fd2202977f"}
{"episode": 96, "episode_seed": 3588377304, "split": "val", "timestamp": "2025-10-13T03:12:37.566968", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3588377304, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [4.6, 2.4, -26.1])</answer>", "action": "('move', [4.6, 2.4, -26.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "e2036c9e21f0f206ab72cc2f63608691821f29acbb4118aa48e996ed41b9895d"}
{"episode": 97, "episode_seed": 3452081910, "split": "val", "timestamp": "2025-10-13T03:12:37.872458", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3452081910, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-26.5, -9.0, -77.9])</answer>", "action": "('move', [-26.5, -9.0, -77.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "f24ad0ab5336abc0ae4b7bb83891994b8c6112ffadd57d7f54cbfd4fec7b51a3"}
{"episode": 98, "episode_seed": 2166331537, "split": "val", "timestamp": "2025-10-13T03:12:38.175975", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2166331537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-72.3, -58.7, 85.2])</answer>", "action": "('move', [-72.3, -58.7, 85.2])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "75bfe8fd48a5ee8a7e19a8d1ba3c349d7cc64ca07a9363e3c3d7ab02f62254c6"}
{"episode": 99, "episode_seed": 3025385617, "split": "val", "timestamp": "2025-10-13T03:12:38.742990", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72fbfc43a350>", "max_steps": 10, "abs_size": 336, "master_seed": 10000042, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3025385617, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-72.3, 140.1, -82.6])</answer>", "action": "('move', [-72.3, 140.1, -82.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0e4a8da8aa2d98acb7c94478c8bb46cafbde8a2d836bee45b978228e1f4ac24f"}