diff --git "a/matchstick_rotation/train/batch_000571.jsonl" "b/matchstick_rotation/train/batch_000571.jsonl"
new file mode 100644--- /dev/null
+++ "b/matchstick_rotation/train/batch_000571.jsonl"
@@ -0,0 +1,100 @@
+{"episode": 57100, "episode_seed": 3384415074, "split": "train", "timestamp": "2025-10-13T03:01:13.330016", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3384415074, "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', [4.2, 9.5, 4.8])</answer>", "action": "('move', [4.2, 9.5, 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": "2b10f242dc582c5339f6ec6e167c3b986255066b9313a48ac40688f78e02b58f"}
+{"episode": 57101, "episode_seed": 2175484670, "split": "train", "timestamp": "2025-10-13T03:01:13.808001", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2175484670, "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', [-39.7, 167.0, -28.2])</answer>", "action": "('move', [-39.7, 167.0, -28.2])", "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": "b8e6d04778c50da3cb552c51e27c218b00e13be75eb332b63430e72da2e3ecc4"}
+{"episode": 57102, "episode_seed": 3598749144, "split": "train", "timestamp": "2025-10-13T03:01:14.367038", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3598749144, "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', [-17.7, 0.6, -76.2])</answer>", "action": "('move', [-17.7, 0.6, -76.2])", "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": "3eab85b60158a5a4dc80735d7b3dd557fd1cff108fc7b60319cdaf6b4fc1375d"}
+{"episode": 57103, "episode_seed": 2958517712, "split": "train", "timestamp": "2025-10-13T03:01:14.922327", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2958517712, "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', [-23.0, -12.4, 41.1])</answer>", "action": "('move', [-23.0, -12.4, 41.1])", "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": "7347b05dd4ce6de4b0ea2d43c7284cd3fbf58901dd5ef55bdbc9ed623f806788"}
+{"episode": 57104, "episode_seed": 118655755, "split": "train", "timestamp": "2025-10-13T03:01:15.875506", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 118655755, "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', [-1.7, 0.4, -68.4])</answer>", "action": "('move', [-1.7, 0.4, -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": "d74e01d35138b5deea194e8ef0d6d75d6adc0e7a63985c2efe4ab2fc7caabe01"}
+{"episode": 57105, "episode_seed": 3857439002, "split": "train", "timestamp": "2025-10-13T03:01:16.271464", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3857439002, "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', [-19.7, 45.6, 39.1])</answer>", "action": "('move', [-19.7, 45.6, 39.1])", "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": "8766b7f111f3a339153b18321ff8d194a7ac2491b990444fb0cea8d6919efb0c"}
+{"episode": 57106, "episode_seed": 3712142960, "split": "train", "timestamp": "2025-10-13T03:01:16.679030", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3712142960, "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', [-18.2, -49.3, 57.9])</answer>", "action": "('move', [-18.2, -49.3, 57.9])", "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": "7264eb9984e1fb85401d042bca1c125ed17e429a6157e8cff0a21224d7990061"}
+{"episode": 57107, "episode_seed": 1532823794, "split": "train", "timestamp": "2025-10-13T03:01:17.097534", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1532823794, "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', [12.8, 32.3, 72.3])</answer>", "action": "('move', [12.8, 32.3, 72.3])", "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": "1f7ff5087b91931d42ae6aeaec5ace111553f9552e542cf863e492f636751427"}
+{"episode": 57108, "episode_seed": 2127617340, "split": "train", "timestamp": "2025-10-13T03:01:17.541526", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2127617340, "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', [-5.8, 14.6, 73.5])</answer>", "action": "('move', [-5.8, 14.6, 73.5])", "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": "b3cb8bff327f1e9085db7008494b988e6622dc2590099451c5110d8c992c282d"}
+{"episode": 57109, "episode_seed": 2881362231, "split": "train", "timestamp": "2025-10-13T03:01:18.287836", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2881362231, "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', [2.2, 0.4, -2.0])</answer>", "action": "('move', [2.2, 0.4, -2.0])", "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": "05245da1245e3e3675a78adbb4b6f2bd1dc1c0034a1cb8345bc9347a3dde520d"}
+{"episode": 57110, "episode_seed": 2237119214, "split": "train", "timestamp": "2025-10-13T03:01:18.747622", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2237119214, "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', [-20.4, -3.3, 12.9])</answer>", "action": "('move', [-20.4, -3.3, 12.9])", "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": "12bf30b6ffa0184f798e626e63027b2aa599c5ebbdfa0e6e6586a9830d006560"}
+{"episode": 57111, "episode_seed": 3584679526, "split": "train", "timestamp": "2025-10-13T03:01:19.317861", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3584679526, "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', [-20.0, 252.5, -11.1])</answer>", "action": "('move', [-20.0, 252.5, -11.1])", "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": "ba5c317c3853156591398068ec82156b98c2193d800c4206ba2b505bf7fdc103"}
+{"episode": 57112, "episode_seed": 3936345839, "split": "train", "timestamp": "2025-10-13T03:01:19.882252", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3936345839, "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', [137.8, -421.4, 61.7])</answer>", "action": "('move', [137.8, -421.4, 61.7])", "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": "7f2cc887606defe4251c0042f531e345d1292209ad063843c24d1a59720936e4"}
+{"episode": 57113, "episode_seed": 3860280626, "split": "train", "timestamp": "2025-10-13T03:01:20.438463", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3860280626, "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', [-1.8, -2.7, 19.9])</answer>", "action": "('move', [-1.8, -2.7, 19.9])", "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": "f9d57739abc714d850c5618644ef084d17d906b029768509d05011d50f4c0da4"}
+{"episode": 57114, "episode_seed": 4210582918, "split": "train", "timestamp": "2025-10-13T03:01:21.722800", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4210582918, "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', [-102.3, -90.5, 67.1])</answer>", "action": "('move', [-102.3, -90.5, 67.1])", "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": "c31cb99a84c1db256f49c58225bcdcb327f661b0516604803b75e1f05502ebd9"}
+{"episode": 57115, "episode_seed": 3612801022, "split": "train", "timestamp": "2025-10-13T03:01:22.266726", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3612801022, "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', [-11.7, -8.5, -83.6])</answer>", "action": "('move', [-11.7, -8.5, -83.6])", "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": "1dffe6ad3c2686c7fd09d5b9a77fb47730879e27f3536fa5b2d05d6a68ed6f3a"}
+{"episode": 57116, "episode_seed": 2348430357, "split": "train", "timestamp": "2025-10-13T03:01:22.833038", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2348430357, "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', [17.6, -11.9, -24.7])</answer>", "action": "('move', [17.6, -11.9, -24.7])", "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": "c3135e947c91f6fc1994c4604179535c2e8adc46a4aac0eb59caebcd5fe15633"}
+{"episode": 57117, "episode_seed": 1327606577, "split": "train", "timestamp": "2025-10-13T03:01:23.370766", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1327606577, "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', [39.0, 11.9, 39.6])</answer>", "action": "('move', [39.0, 11.9, 39.6])", "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": "36aa1fa5e4081235f2f5515bf114b1e7fb438a7cac7ccb31ec1a288b2e4a8273"}
+{"episode": 57118, "episode_seed": 4089887822, "split": "train", "timestamp": "2025-10-13T03:01:23.930440", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4089887822, "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', [53.4, 30.0, -60.7])</answer>", "action": "('move', [53.4, 30.0, -60.7])", "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": "948bced0e90a119816ab3b4dcd2e0dbf64b2fc1bdb0d58b417319767f8a68f03"}
+{"episode": 57119, "episode_seed": 2353275194, "split": "train", "timestamp": "2025-10-13T03:01:24.872526", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2353275194, "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', [2.9, 3.1, 62.5])</answer>", "action": "('move', [2.9, 3.1, 62.5])", "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": "9ad06c99274756a697d7f9cb54e1daee417e9102f762ff1a755efe5794a16133"}
+{"episode": 57120, "episode_seed": 1434271787, "split": "train", "timestamp": "2025-10-13T03:01:25.227303", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1434271787, "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', [6.7, -0.8, 59.3])</answer>", "action": "('move', [6.7, -0.8, 59.3])", "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": "dce11605936e7f7617e3c34b67cca024b9d0ebb131c0c3a8adb8d6b700220ad9"}
+{"episode": 57121, "episode_seed": 1151954878, "split": "train", "timestamp": "2025-10-13T03:01:25.716631", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1151954878, "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', [32.4, -0.3, 30.6])</answer>", "action": "('move', [32.4, -0.3, 30.6])", "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": "72532ee84f775c483b6eceada5e29dc0759c52c4aeeb3fa603dff1bbb7380ef1"}
+{"episode": 57122, "episode_seed": 1601451735, "split": "train", "timestamp": "2025-10-13T03:01:26.276620", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1601451735, "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', [-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', [-0.2, -0.4, -69.1])</answer>", "action": "('move', [-0.2, -0.4, -69.1])", "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": "85338c5c31f3bc473dea663e1b290b8dd496959220fbf2ee2a01dd860cb6570d"}
+{"episode": 57123, "episode_seed": 3056855193, "split": "train", "timestamp": "2025-10-13T03:01:26.833133", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3056855193, "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', [154.9, 9.2, 56.6])</answer>", "action": "('move', [154.9, 9.2, 56.6])", "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": "a8b5828cb307104a20d506361014d9d33f16627b328680d9569a4c6349c9818d"}
+{"episode": 57124, "episode_seed": 1249174570, "split": "train", "timestamp": "2025-10-13T03:01:27.798400", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1249174570, "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', [154.5, 123.8, -81.8])</answer>", "action": "('move', [154.5, 123.8, -81.8])", "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": "8248bcfb12e94bcec903823f1fec5a0bb049b2231264699c6f2161707d335cca"}
+{"episode": 57125, "episode_seed": 2524562102, "split": "train", "timestamp": "2025-10-13T03:01:28.269335", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2524562102, "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', [15.4, -10.0, 56.5])</answer>", "action": "('move', [15.4, -10.0, 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": "091c0df5b442aaf5ad03eb044e06d330973caaa5d179765be5d6eaddb0db24aa"}
+{"episode": 57126, "episode_seed": 3538186892, "split": "train", "timestamp": "2025-10-13T03:01:28.810425", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3538186892, "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', [-9.8, -5.9, 41.9])</answer>", "action": "('move', [-9.8, -5.9, 41.9])", "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": "fe1a2f8d7a23d6ec829e46299bcb37cc9e42dd85ea94cab454fb2d2201ec3091"}
+{"episode": 57127, "episode_seed": 2282637548, "split": "train", "timestamp": "2025-10-13T03:01:29.341935", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2282637548, "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', [-0.2, 1.2, -36.2])</answer>", "action": "('move', [-0.2, 1.2, -36.2])", "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": "4373962c055eb962c941cb86b5211ab6a49db1c3d006d2e0e190e143cd0d2a16"}
+{"episode": 57128, "episode_seed": 2886401040, "split": "train", "timestamp": "2025-10-13T03:01:29.772441", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2886401040, "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', [126.6, -123.9, -5.8])</answer>", "action": "('move', [126.6, -123.9, -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": "202005a2e0a5bdc5e219fdbf91c9acfe8a54b2adeef70058f7a8725427c4cc85"}
+{"episode": 57129, "episode_seed": 1550175531, "split": "train", "timestamp": "2025-10-13T03:01:30.477520", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1550175531, "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', [-132.1, -256.1, 69.2])</answer>", "action": "('move', [-132.1, -256.1, 69.2])", "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": "b8b46675bde5038fa1d3c2886f120f69026695c57576b83ffdee981c82e578e6"}
+{"episode": 57130, "episode_seed": 4286026827, "split": "train", "timestamp": "2025-10-13T03:01:30.832308", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4286026827, "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', [-6.5, 16.8, 83.6])</answer>", "action": "('move', [-6.5, 16.8, 83.6])", "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": "0eabb6d582311f84a7d6a602a862475fd6e6edfb376d0067c8ec5a0aab7536aa"}
+{"episode": 57131, "episode_seed": 1282883536, "split": "train", "timestamp": "2025-10-13T03:01:31.184305", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1282883536, "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', [-212.0, -40.3, -1.5])</answer>", "action": "('move', [-212.0, -40.3, -1.5])", "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": "98460e01e452d9e09078bbdd49e02106695650a6eb01f64a664b289fb681683b"}
+{"episode": 57132, "episode_seed": 2489831160, "split": "train", "timestamp": "2025-10-13T03:01:31.645725", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2489831160, "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', [-2.1, -0.0, 43.5])</answer>", "action": "('move', [-2.1, -0.0, 43.5])", "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": "090ea3e8a1258f52a63de704e07b954707ecb918d5c6118b3b6fe2d4b4c2cdcd"}
+{"episode": 57133, "episode_seed": 3624631182, "split": "train", "timestamp": "2025-10-13T03:01:32.159095", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3624631182, "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, 2.3, -33.1])</answer>", "action": "('move', [1.9, 2.3, -33.1])", "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": "bcfd081c7b61c99c555bc4a79a13fd703e937f63d56c88e40fc43c34bfa890e0"}
+{"episode": 57134, "episode_seed": 712227879, "split": "train", "timestamp": "2025-10-13T03:01:33.047340", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 712227879, "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', [1.7, 45.3, -15.8])</answer>", "action": "('move', [1.7, 45.3, -15.8])", "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": "ba5b1ab813f9545f2b79b5d5cfa267eef00ecb312dbd3706fd8eac09ff600ea4"}
+{"episode": 57135, "episode_seed": 3536412252, "split": "train", "timestamp": "2025-10-13T03:01:33.562621", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3536412252, "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', [14.5, -21.0, 84.9])</answer>", "action": "('move', [14.5, -21.0, 84.9])", "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": "24d8de83a8bc16bf48be47138254e5d5a606fce27818467940d48d97a31199c7"}
+{"episode": 57136, "episode_seed": 752380357, "split": "train", "timestamp": "2025-10-13T03:01:34.111706", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 752380357, "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', [102.9, -116.0, -7.7])</answer>", "action": "('move', [102.9, -116.0, -7.7])", "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": "45b112c68979507b5904459b4e2478f8ad3c2286fbb8412344b68a42b8c1e0d2"}
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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', [3.9, -2.1, -50.9])</answer>", "action": "('move', [3.9, -2.1, -50.9])", "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": "d453ddd8ee5c7058bb517818058c313f479ce322cb5331f8fc554b2c3da4b7e2"}
+{"episode": 57138, "episode_seed": 995088849, "split": "train", "timestamp": "2025-10-13T03:01:35.246962", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 995088849, "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', [-0.7, 0.0, -29.5])</answer>", "action": "('move', [-0.7, 0.0, -29.5])", "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": "73f31092b784996e042ed143f7f20d764ad90823042c9519509a3bb4ab91e2b1"}
+{"episode": 57139, "episode_seed": 3820040528, "split": "train", "timestamp": "2025-10-13T03:01:36.491418", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3820040528, "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', [-30.3, 18.9, -54.1])</answer>", "action": "('move', [-30.3, 18.9, -54.1])", "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": "08e98cbbbb9772be38da058569e8e83a7d4ae2f39246ecd47046eaa228ebdc08"}
+{"episode": 57140, "episode_seed": 527967952, "split": "train", "timestamp": "2025-10-13T03:01:36.992153", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 527967952, "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', [9.7, 4.2, -80.8])</answer>", "action": "('move', [9.7, 4.2, -80.8])", "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": "7faedc6124d1848fcf3deda7629fc699b89aa1288bfe425b2c6ad02521cd20d5"}
+{"episode": 57141, "episode_seed": 465583595, "split": "train", "timestamp": "2025-10-13T03:01:37.493878", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 465583595, "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', [-5.9, 2.2, 75.8])</answer>", "action": "('move', [-5.9, 2.2, 75.8])", "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": "6caf782c6276d99999662fe843993670990d4fbc0642aad0184e43e0bc228381"}
+{"episode": 57142, "episode_seed": 1914183108, "split": "train", "timestamp": "2025-10-13T03:01:38.044094", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1914183108, "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', [-68.4, 139.0, 35.4])</answer>", "action": "('move', [-68.4, 139.0, 35.4])", "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": "3570c24e4a17bcff88d65de352bfd2b3f5fe41396235b19a5a191ece16a67f95"}
+{"episode": 57143, "episode_seed": 3082464440, "split": "train", "timestamp": "2025-10-13T03:01:38.586766", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3082464440, "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', [-9.2, 23.7, 53.6])</answer>", "action": "('move', [-9.2, 23.7, 53.6])", "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": "81e12ee1502eb19dec5e07c67109dea894332724f337db25b68ca350c7117fb9"}
+{"episode": 57144, "episode_seed": 809074615, "split": "train", "timestamp": "2025-10-13T03:01:39.566086", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 809074615, "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', [-47.1, 29.5, -89.0])</answer>", "action": "('move', [-47.1, 29.5, -89.0])", "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": "cbffba5c0172f8f316c36f52baed713e952a5dda8721cdb692e749b738703f90"}
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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', [-92.3, -52.7, 37.6])</answer>", "action": "('move', [-92.3, -52.7, 37.6])", "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": "7af055405decae39617be1b65c93dc48933c4386277d1ef54a787f43325c1837"}
+{"episode": 57146, "episode_seed": 2671274418, "split": "train", "timestamp": "2025-10-13T03:01:40.574637", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2671274418, "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', [-11.3, 26.9, -76.9])</answer>", "action": "('move', [-11.3, 26.9, -76.9])", "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": "ad2234ddda4e1ced2b20fcdfb3d33be7f1384a438961e324d99df97814ae7706"}
+{"episode": 57147, "episode_seed": 696816122, "split": "train", "timestamp": "2025-10-13T03:01:41.116484", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 696816122, "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', [-0.6, 3.6, -6.4])</answer>", "action": "('move', [-0.6, 3.6, -6.4])", "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": "fa241c8b3c7e5a9a1731e0eb48d948ba3ca71d48934018248e86269c4ba13fd6"}
+{"episode": 57148, "episode_seed": 2011422761, "split": "train", "timestamp": "2025-10-13T03:01:41.597759", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2011422761, "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', [16.5, -3.5, -61.8])</answer>", "action": "('move', [16.5, -3.5, -61.8])", "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": "48a1a605e290663de819e928c2b7bb62afca62e57cae2b97ae66b17a4d2ceac2"}
+{"episode": 57149, "episode_seed": 1819111574, "split": "train", "timestamp": "2025-10-13T03:01:42.540537", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1819111574, "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', [56.0, -167.2, 31.8])</answer>", "action": "('move', [56.0, -167.2, 31.8])", "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": "95e248362462a246846ddea9c6ee45889991f864014401a4ba4f85a26ea291df"}
+{"episode": 57150, "episode_seed": 3459136946, "split": "train", "timestamp": "2025-10-13T03:01:43.061618", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3459136946, "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', [-404.5, 273.3, -47.6])</answer>", "action": "('move', [-404.5, 273.3, -47.6])", "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": "f60a2cb169df628d1ce8b67b24aff00d69ff213839c0f9476b45cf10ab6c1935"}
+{"episode": 57151, "episode_seed": 4111369648, "split": "train", "timestamp": "2025-10-13T03:01:43.459955", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4111369648, "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', [-0.7, 3.5, 33.8])</answer>", "action": "('move', [-0.7, 3.5, 33.8])", "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": "038ea6e6abe4773e02ba2349ddd9a4100d2ca0fa24aced0e56f4c99415ecdba8"}
+{"episode": 57152, "episode_seed": 1676968902, "split": "train", "timestamp": "2025-10-13T03:01:43.939180", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1676968902, "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', [45.4, 80.8, 85.1])</answer>", "action": "('move', [45.4, 80.8, 85.1])", "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": "af98df69d6e06e3508acb76a1c264156960badb469ebcde850b6053ddc7f74c5"}
+{"episode": 57153, "episode_seed": 1947060453, "split": "train", "timestamp": "2025-10-13T03:01:44.335451", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1947060453, "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, 34.8, 84.0])</answer>", "action": "('move', [3.8, 34.8, 84.0])", "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": "7e949e73e4d5d2383dee37acd9e24a480b178637ac3eb302b94f4dbfb9f71a7c"}
+{"episode": 57154, "episode_seed": 3433909453, "split": "train", "timestamp": "2025-10-13T03:01:45.275127", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3433909453, "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, 4.1, -28.8])</answer>", "action": "('move', [1.1, 4.1, -28.8])", "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": "b42b2c0a79558d83e50bde8e077d30ef9a3f6ce3f1d0a776820899907c1d3dce"}
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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', [-72.8, 9.3, 55.2])</answer>", "action": "('move', [-72.8, 9.3, 55.2])", "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": "48479c91207d629ca9895f2ec2e233a6b8c4c7fd7540e3032cfe27ea49d9add0"}
+{"episode": 57156, "episode_seed": 642563477, "split": "train", "timestamp": "2025-10-13T03:01:46.254845", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 642563477, "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', [86.4, -139.5, 89.6])</answer>", "action": "('move', [86.4, -139.5, 89.6])", "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": "be4fc74cdf223a9d06f8b496a276d3ebd8ce9f314aeca9ae0afb5b57a880ce6f"}
+{"episode": 57157, "episode_seed": 2207890523, "split": "train", "timestamp": "2025-10-13T03:01:46.779424", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2207890523, "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', [-16.5, 62.9, -31.3])</answer>", "action": "('move', [-16.5, 62.9, -31.3])", "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": "fd528d708b69f631a750ca97d39fe7aac7cfe01f2ad7c182b906603a205c5698"}
+{"episode": 57158, "episode_seed": 3772269456, "split": "train", "timestamp": "2025-10-13T03:01:47.185670", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3772269456, "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, 0.7, -0.9])</answer>", "action": "('move', [4.3, 0.7, -0.9])", "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": "cb8d17495bc7d039771786ef850a863783f63022708dc1d5c7e4c4e57aeacd8f"}
+{"episode": 57159, "episode_seed": 1014677399, "split": "train", "timestamp": "2025-10-13T03:01:48.112150", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1014677399, "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', [-34.0, -22.9, -33.9])</answer>", "action": "('move', [-34.0, -22.9, -33.9])", "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": "bd4a44836ec700d9b1b81ed26cb50651a429a229a2e48a0c91c86aa636638507"}
+{"episode": 57160, "episode_seed": 1367466998, "split": "train", "timestamp": "2025-10-13T03:01:48.639848", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1367466998, "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', [43.5, 5.1, 66.4])</answer>", "action": "('move', [43.5, 5.1, 66.4])", "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": "6226eceb320db71fe69f8ea2bc9e9ee60c24741e8e5d302fb59632fcc2904872"}
+{"episode": 57161, "episode_seed": 2855695313, "split": "train", "timestamp": "2025-10-13T03:01:49.165925", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2855695313, "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', [-0.7, -0.3, 5.8])</answer>", "action": "('move', [-0.7, -0.3, 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": "63fde3e15be4f9dac635e852040cd1716ffd262b5fc269e38b92e62f38df2e39"}
+{"episode": 57162, "episode_seed": 1958345552, "split": "train", "timestamp": "2025-10-13T03:01:49.698134", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1958345552, "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', [17.4, 25.2, 21.5])</answer>", "action": "('move', [17.4, 25.2, 21.5])", "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": "c531ab17bb534b4c8aef2a6f21bc2e366ffad8eeef97d4b8a8bc9fab268ee80f"}
+{"episode": 57163, "episode_seed": 1638154468, "split": "train", "timestamp": "2025-10-13T03:01:50.234605", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1638154468, "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', [-302.8, 304.1, -1.4])</answer>", "action": "('move', [-302.8, 304.1, -1.4])", "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": "2906378b776d418b000319223a8fb9f98046aa10601578eb67aecfd4fd9828b1"}
+{"episode": 57164, "episode_seed": 1098905441, "split": "train", "timestamp": "2025-10-13T03:01:51.165405", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1098905441, "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', [-0.7, 0.7, 49.5])</answer>", "action": "('move', [-0.7, 0.7, 49.5])", "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": "e2c12a62900b42265c5e33fc703df35de719fe080cc6e85d9e1fafbab1a12627"}
+{"episode": 57165, "episode_seed": 900924032, "split": "train", "timestamp": "2025-10-13T03:01:51.710012", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 900924032, "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', [13.6, -55.2, 6.9])</answer>", "action": "('move', [13.6, -55.2, 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": "37ec8f636b2969bd22c5a88db9735ca6bd4c7ad00be2139c7c9b998cf04e096a"}
+{"episode": 57166, "episode_seed": 1414804407, "split": "train", "timestamp": "2025-10-13T03:01:52.252108", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1414804407, "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', [-31.0, 16.9, -55.7])</answer>", "action": "('move', [-31.0, 16.9, -55.7])", "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": "af48aa030fc0d184ffb89606fa81cb82bf6436b899068a5c3f19b340acf3ed4b"}
+{"episode": 57167, "episode_seed": 3746115059, "split": "train", "timestamp": "2025-10-13T03:01:52.789523", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3746115059, "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', [52.0, -9.3, -29.7])</answer>", "action": "('move', [52.0, -9.3, -29.7])", "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": "59b0b5f743141b6297ce98c5fa32fd4371c47bf1de4c053c29eb3ef214ec935e"}
+{"episode": 57168, "episode_seed": 3157944996, "split": "train", "timestamp": "2025-10-13T03:01:53.315125", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3157944996, "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', [152.1, -229.0, 48.1])</answer>", "action": "('move', [152.1, -229.0, 48.1])", "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": "1eacbf53694459e7b4a27a6dbd559703c69c528975485eace48f0c4e2749447a"}
+{"episode": 57169, "episode_seed": 183725588, "split": "train", "timestamp": "2025-10-13T03:01:54.260788", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 183725588, "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', [298.8, -76.0, 63.7])</answer>", "action": "('move', [298.8, -76.0, 63.7])", "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": "d7ebc3ca66b7ab8acd0f74fba2a01385fe38b15e75218cf8827812b81caa7e08"}
+{"episode": 57170, "episode_seed": 3226400037, "split": "train", "timestamp": "2025-10-13T03:01:54.750970", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3226400037, "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', [1.7, -3.9, 8.5])</answer>", "action": "('move', [1.7, -3.9, 8.5])", "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": "84d6e4ddc45559347362c963a8e3e3e3800b796bbf74b9d79b095058bc4b4613"}
+{"episode": 57171, "episode_seed": 457999320, "split": "train", "timestamp": "2025-10-13T03:01:55.269559", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 457999320, "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', [10.5, 13.7, -31.0])</answer>", "action": "('move', [10.5, 13.7, -31.0])", "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": "289e5ae34998762229ad885606fa5cf7b32571971c41339a09962c914eb06474"}
+{"episode": 57172, "episode_seed": 915794454, "split": "train", "timestamp": "2025-10-13T03:01:55.799276", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 915794454, "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', [-5.5, 12.7, 80.6])</answer>", "action": "('move', [-5.5, 12.7, 80.6])", "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": "e064e200b22cce514403f0ac9aa6bb5be3af54dbb6120ff88edd09f6985cb758"}
+{"episode": 57173, "episode_seed": 4059891853, "split": "train", "timestamp": "2025-10-13T03:01:56.324147", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4059891853, "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', [-68.1, -10.4, 89.3])</answer>", "action": "('move', [-68.1, -10.4, 89.3])", "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": "3ffe090ee811806b0b34ab7d450e23b2b0e6752cc570e68a8392dc6b9d3349ed"}
+{"episode": 57174, "episode_seed": 364826897, "split": "train", "timestamp": "2025-10-13T03:01:57.262040", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 364826897, "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', [16.5, -26.3, -63.6])</answer>", "action": "('move', [16.5, -26.3, -63.6])", "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": "c46b7383b414679e3f3ccb19ba938c94ccada0322970b3abe649eaeb65a45c72"}
+{"episode": 57175, "episode_seed": 2854151132, "split": "train", "timestamp": "2025-10-13T03:01:57.763817", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2854151132, "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, 0.1, 44.3])</answer>", "action": "('move', [-2.4, 0.1, 44.3])", "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": "e087787767b6f2d584fef3433ad171ba4f1741a5d5eecda9e2cfe66340f3e5d8"}
+{"episode": 57176, "episode_seed": 3615527602, "split": "train", "timestamp": "2025-10-13T03:01:58.290363", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3615527602, "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', [-42.8, 69.0, 54.2])</answer>", "action": "('move', [-42.8, 69.0, 54.2])", "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": "1a5746da12b1bfd6296fc2f90a259316a1bec19c36ba4957bf6235dce4d64fcc"}
+{"episode": 57177, "episode_seed": 1140729120, "split": "train", "timestamp": "2025-10-13T03:01:58.830648", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1140729120, "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', [17.9, -11.4, -39.1])</answer>", "action": "('move', [17.9, -11.4, -39.1])", "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": "64a9c8d1a8ce4605488e1156e99c3f2e52011271d8d2c7f036347c0230bf280a"}
+{"episode": 57178, "episode_seed": 3094792832, "split": "train", "timestamp": "2025-10-13T03:01:59.359807", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3094792832, "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', [12.7, -15.3, -79.1])</answer>", "action": "('move', [12.7, -15.3, -79.1])", "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": "c14a6907b117bf8a78e75e879529f0b263875b6552091ba2b1ce7806b081b148"}
+{"episode": 57179, "episode_seed": 438821690, "split": "train", "timestamp": "2025-10-13T03:02:00.353453", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 438821690, "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', [-7.0, 6.6, 68.0])</answer>", "action": "('move', [-7.0, 6.6, 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": "f92aacf4cacb97d9b8afa1518e0a9796c39d69cb6538a9d7dfbbecff56f00bd8"}
+{"episode": 57180, "episode_seed": 3072427366, "split": "train", "timestamp": "2025-10-13T03:02:00.940311", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3072427366, "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', [-2.7, -0.9, 47.5])</answer>", "action": "('move', [-2.7, -0.9, 47.5])", "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": "5646a7f7909062b9784e74ec307ace68cd387c379da4c4862c20a2bd6e8445a2"}
+{"episode": 57181, "episode_seed": 2263247085, "split": "train", "timestamp": "2025-10-13T03:02:01.499323", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2263247085, "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', [6.6, 4.1, -11.5])</answer>", "action": "('move', [6.6, 4.1, -11.5])", "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": "e8a62f87475de35f2ba2ae5ad41351c7963c4784b0030d5e6fe721a18b82a720"}
+{"episode": 57182, "episode_seed": 1335595892, "split": "train", "timestamp": "2025-10-13T03:02:02.068815", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1335595892, "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, -2.5, 35.0])</answer>", "action": "('move', [-5.6, -2.5, 35.0])", "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": "9ac2b66e87cfaee21d93e6c76d3c329d8991a118c9013b25860b3e5cf7c41428"}
+{"episode": 57183, "episode_seed": 1816201275, "split": "train", "timestamp": "2025-10-13T03:02:02.540521", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1816201275, "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', [-12.2, -29.6, -13.6])</answer>", "action": "('move', [-12.2, -29.6, -13.6])", "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": "e5bc585fbe2010b1f4478c96dcb7c0333962db32b58de83e07408780fa02a759"}
+{"episode": 57184, "episode_seed": 433113231, "split": "train", "timestamp": "2025-10-13T03:02:03.462199", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 433113231, "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', [76.1, -104.9, 35.2])</answer>", "action": "('move', [76.1, -104.9, 35.2])", "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": "227ae2795bb0400930b7aad651eb1b0b39d412bc844674f740c3a56b0bd60ca9"}
+{"episode": 57185, "episode_seed": 4293156891, "split": "train", "timestamp": "2025-10-13T03:02:04.020008", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4293156891, "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', [766.7, 498.2, 83.0])</answer>", "action": "('move', [766.7, 498.2, 83.0])", "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": "501afb612bc51fb6db3c1590519cd806f7b4d71d19ec08f39af635b27e3361e8"}
+{"episode": 57186, "episode_seed": 2672793909, "split": "train", "timestamp": "2025-10-13T03:02:04.570885", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2672793909, "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', [-91.1, -98.8, 6.8])</answer>", "action": "('move', [-91.1, -98.8, 6.8])", "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": "10b3e81eba7677a85da45e80d9433f0bf19810ccee335295b3c97aab094b0cbd"}
+{"episode": 57187, "episode_seed": 3372356868, "split": "train", "timestamp": "2025-10-13T03:02:05.019351", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3372356868, "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', [-0.6, -0.2, 9.6])</answer>", "action": "('move', [-0.6, -0.2, 9.6])", "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": "5c7b025a04a2da3e24438eabd8d3e6731a6af5149493f0a9d51186b26840e85a"}
+{"episode": 57188, "episode_seed": 3330125966, "split": "train", "timestamp": "2025-10-13T03:02:05.487044", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3330125966, "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', [3.3, 47.0, -59.1])</answer>", "action": "('move', [3.3, 47.0, -59.1])", "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": "88766bf195908d3ed728755dbd6fd947435930c46ea60151f4cf5a322d08e288"}
+{"episode": 57189, "episode_seed": 1451596471, "split": "train", "timestamp": "2025-10-13T03:02:06.353355", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 1451596471, "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', [-0.2, -0.2, -56.1])</answer>", "action": "('move', [-0.2, -0.2, -56.1])", "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": "888d605c2c12697149885e953e58132fc41d8cb77036a48214a86339b4c92578"}
+{"episode": 57190, "episode_seed": 3450991954, "split": "train", "timestamp": "2025-10-13T03:02:06.802700", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3450991954, "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', [7.4, -2.9, -47.5])</answer>", "action": "('move', [7.4, -2.9, -47.5])", "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": "66204b628aa602c78aeac70801513f1e3d12e277cacc3f860d272f3137594d6a"}
+{"episode": 57191, "episode_seed": 930470225, "split": "train", "timestamp": "2025-10-13T03:02:07.269999", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 930470225, "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', [7.0, -1.2, -5.4])</answer>", "action": "('move', [7.0, -1.2, -5.4])", "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": "e4ea1f31e4316512130395241aecdeaf5478f244b6e617ca1fdfa5c88b22645e"}
+{"episode": 57192, "episode_seed": 3665713179, "split": "train", "timestamp": "2025-10-13T03:02:07.702174", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3665713179, "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', [198.3, -265.9, -50.8])</answer>", "action": "('move', [198.3, -265.9, -50.8])", "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": "f9dbe697cdc36f4b4033e1fe7fc8a18639eada6550c4944602ebae7b8d03b332"}
+{"episode": 57193, "episode_seed": 860985991, "split": "train", "timestamp": "2025-10-13T03:02:08.157594", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 860985991, "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', [-5.7, 4.6, 17.7])</answer>", "action": "('move', [-5.7, 4.6, 17.7])", "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": "dc16833aa863c03941e6e61c54e0bdfdd0bbf2f59afee7b85dda465e0b4eabb9"}
+{"episode": 57194, "episode_seed": 357270874, "split": "train", "timestamp": "2025-10-13T03:02:09.108098", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 357270874, "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', [-8.8, 63.4, 25.7])</answer>", "action": "('move', [-8.8, 63.4, 25.7])", "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": "ce13a5723d50167e0a7fb37018174a681cfc6fb32b565d2a72fddc8743dfef9d"}
+{"episode": 57195, "episode_seed": 2665269801, "split": "train", "timestamp": "2025-10-13T03:02:09.630616", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 2665269801, "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', [-22.5, -19.9, -17.2])</answer>", "action": "('move', [-22.5, -19.9, -17.2])", "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": "7abd09e07002531e4298e474d511c317708c8f227889e350060c3ca32e034941"}
+{"episode": 57196, "episode_seed": 3113058427, "split": "train", "timestamp": "2025-10-13T03:02:10.144918", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 3113058427, "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', [8.0, -0.4, -63.0])</answer>", "action": "('move', [8.0, -0.4, -63.0])", "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": "9342632e6e8a8f24a236de2e39702eb32c2b7d3bd7eb15ad931d2bfa0ad3b416"}
+{"episode": 57197, "episode_seed": 222177706, "split": "train", "timestamp": "2025-10-13T03:02:10.666983", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 222177706, "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', [-93.8, 108.0, 3.7])</answer>", "action": "('move', [-93.8, 108.0, 3.7])", "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": "0b943d27820d9beead1a4bae7efbbfd45b6c3baab51ba0ab8e2ec07cdc00a2b5"}
+{"episode": 57198, "episode_seed": 387076550, "split": "train", "timestamp": "2025-10-13T03:02:11.132071", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 387076550, "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', [-149.6, -250.4, -63.9])</answer>", "action": "('move', [-149.6, -250.4, -63.9])", "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": "de208289c2d1feec5e4399fb370ed4608ff759eb96c4621ebede732eee93b164"}
+{"episode": 57199, "episode_seed": 4239938874, "split": "train", "timestamp": "2025-10-13T03:02:12.118851", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x730f05bd3910>", "max_steps": 10, "abs_size": 336, "master_seed": 613, "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": 4239938874, "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', [45.3, 32.5, 64.7])</answer>", "action": "('move', [45.3, 32.5, 64.7])", "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": "16e8520358aad60ecd9a8f6ac40ccf0a358a09a50c3878a4466492f1b6e66573"}