diff --git "a/matchstick_rotation/train/batch_000580.jsonl" "b/matchstick_rotation/train/batch_000580.jsonl"
new file mode 100644--- /dev/null
+++ "b/matchstick_rotation/train/batch_000580.jsonl"
@@ -0,0 +1,100 @@
+{"episode": 58000, "episode_seed": 2837498551, "split": "train", "timestamp": "2025-10-13T03:01:25.500945", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2837498551, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-418.1, 245.6, 78.1])</answer>", "action": "('move', [-418.1, 245.6, 78.1])", "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": "e63926acab7b9b13fb48544da0398f1d09f1bd56b326eec49896cb5dd90e80c9"}
+{"episode": 58001, "episode_seed": 1154840729, "split": "train", "timestamp": "2025-10-13T03:01:26.075688", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1154840729, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [83.3, -69.9, 66.3])</answer>", "action": "('move', [83.3, -69.9, 66.3])", "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": "3e876b37ec77d1ceffe546b5ab18f7128e522a0dd352bbf2eddee7a01fd43015"}
+{"episode": 58002, "episode_seed": 3742804261, "split": "train", "timestamp": "2025-10-13T03:01:26.549155", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3742804261, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 4.7, 37.4])</answer>", "action": "('move', [5.8, 4.7, 37.4])", "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": "c719d201f5962e0799208d45b6885995762d4ff4c13495c1bdab25c9b5618d52"}
+{"episode": 58003, "episode_seed": 2361430039, "split": "train", "timestamp": "2025-10-13T03:01:26.975913", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2361430039, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.9, 0.5, 81.1])</answer>", "action": "('move', [3.9, 0.5, 81.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "777afb5c2bd793f139ec72e4d1eb82ad65861ccd5d8d099665ed01c6c4eea3ff"}
+{"episode": 58004, "episode_seed": 846487485, "split": "train", "timestamp": "2025-10-13T03:01:27.796814", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 846487485, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-43.2, -43.0, -4.4])</answer>", "action": "('move', [-43.2, -43.0, -4.4])", "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": "5415d00d2aebb5284b9ed8f5d6d8b3250bc9a0f47a2af0c141838240d10233ab"}
+{"episode": 58005, "episode_seed": 1216551022, "split": "train", "timestamp": "2025-10-13T03:01:28.235609", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1216551022, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-1.2, 3.4, 40.7])</answer>", "action": "('move', [-1.2, 3.4, 40.7])", "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": "22c549086fd33e3f2059d1c753571c1aea5f918d5b359733ca69a56934a88ba4"}
+{"episode": 58006, "episode_seed": 1205909630, "split": "train", "timestamp": "2025-10-13T03:01:28.657151", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1205909630, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-1.4, -1.0, 48.3])</answer>", "action": "('move', [-1.4, -1.0, 48.3])", "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": "42a212fd40986cdd54f3b8c77d5ac672c73488193056e205f9cfb2c5046e6489"}
+{"episode": 58007, "episode_seed": 559794506, "split": "train", "timestamp": "2025-10-13T03:01:29.012061", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 559794506, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [23.1, -15.4, 20.1])</answer>", "action": "('move', [23.1, -15.4, 20.1])", "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": "571c4aeb8e82e8255be40744b76c9de31a7556154e5e65a6d6a46dc2793d1a84"}
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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', [-0.8, -1.5, -39.0])</answer>", "action": "('move', [-0.8, -1.5, -39.0])", "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": "08205ec85218d9473af1b5801a728ef6fa8eef4c0134396aac47117ef69c85d6"}
+{"episode": 58009, "episode_seed": 1784183674, "split": "train", "timestamp": "2025-10-13T03:01:30.095474", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1784183674, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-39.5, 47.1, 79.4])</answer>", "action": "('move', [-39.5, 47.1, 79.4])", "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": "c3cd94a2fe29e64d5f67756d75a6403a40f609f2fa3e16129f00e9cec2fc2f18"}
+{"episode": 58010, "episode_seed": 2121943111, "split": "train", "timestamp": "2025-10-13T03:01:30.444510", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2121943111, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-0.6, 0.4, 19.2])</answer>", "action": "('move', [-0.6, 0.4, 19.2])", "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": "9a11b7739d64248c0443faad139652a29d2ea49c8f16e3b61e9be75ffc1c9db2"}
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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', [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', [-40.4, -316.7, 15.7])</answer>", "action": "('move', [-40.4, -316.7, 15.7])", "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": "7860972a962f5ae6fecc505d6b93d8fe79800a0d1aeaf00466174cb1d61ae65c"}
+{"episode": 58012, "episode_seed": 966771202, "split": "train", "timestamp": "2025-10-13T03:01:31.130888", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 966771202, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-4.6, 10.9, -71.8])</answer>", "action": "('move', [-4.6, 10.9, -71.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "39bb64e98744f283ebe28aac616632caa3aa33e14201926f6e8ab387f852a5a7"}
+{"episode": 58013, "episode_seed": 1502470720, "split": "train", "timestamp": "2025-10-13T03:01:31.576358", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1502470720, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, -2.1, 63.1])</answer>", "action": "('move', [5.6, -2.1, 63.1])", "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": "c53c5dfee4fddaaeee07ce84a8610c0d6cfbc8d51e28b78ffa7e9d90c82835cd"}
+{"episode": 58014, "episode_seed": 617723264, "split": "train", "timestamp": "2025-10-13T03:01:32.545588", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 617723264, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-7.8, 12.0, 84.4])</answer>", "action": "('move', [-7.8, 12.0, 84.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "3ecb979b0a46a01f94bbc9e956f4b34c7c4dd8c350461dedb3a101a2e292e7f2"}
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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', [10.5, -2.4, 35.9])</answer>", "action": "('move', [10.5, -2.4, 35.9])", "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": "ad89b23493fe56362710eaaf1ec1b3c8196bdd0289da12b54f3f8f085c08c948"}
+{"episode": 58016, "episode_seed": 754308364, "split": "train", "timestamp": "2025-10-13T03:01:33.609627", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 754308364, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-8.4, 3.6, 57.5])</answer>", "action": "('move', [-8.4, 3.6, 57.5])", "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": "882261c6da0d51412a5fa57c78e2fa4e9a1ff2fae6aadd7c9ddeb7f98a885573"}
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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', [-6.2, -0.9, -41.4])</answer>", "action": "('move', [-6.2, -0.9, -41.4])", "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": "9ee2ffd8c40f20e18145ab3cf191b3d6f2b6557a35a342a21e6a4fb537267f53"}
+{"episode": 58018, "episode_seed": 1849003975, "split": "train", "timestamp": "2025-10-13T03:01:34.604760", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1849003975, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-86.6, -98.9, 58.3])</answer>", "action": "('move', [-86.6, -98.9, 58.3])", "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": "724d20a9236058fb0d0fafb52b2c228d9f2c28c4ba38efc98ee4a19b68e35b77"}
+{"episode": 58019, "episode_seed": 575032771, "split": "train", "timestamp": "2025-10-13T03:01:35.570471", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 575032771, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [13.1, 31.7, -27.4])</answer>", "action": "('move', [13.1, 31.7, -27.4])", "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": "c0abac10c9d36ba5e945383ca5cddfcabdd449c0d5743d894298eba35fbb49e2"}
+{"episode": 58020, "episode_seed": 2336482915, "split": "train", "timestamp": "2025-10-13T03:01:36.099651", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2336482915, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [136.2, -329.4, -80.8])</answer>", "action": "('move', [136.2, -329.4, -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": "0bebb3ecb5f3d843a36f267463766840458eb2f98129cb286624618959658e08"}
+{"episode": 58021, "episode_seed": 281094315, "split": "train", "timestamp": "2025-10-13T03:01:36.632456", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 281094315, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.4, -37.1, 30.0])</answer>", "action": "('move', [3.4, -37.1, 30.0])", "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": "e8e8c39e2bc12ac9779d0d0fdec1b3d4ece8a73718ea90ebcdea4ee511ff78fd"}
+{"episode": 58022, "episode_seed": 3168649386, "split": "train", "timestamp": "2025-10-13T03:01:37.105078", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3168649386, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-26.1, -2.7, 73.0])</answer>", "action": "('move', [-26.1, -2.7, 73.0])", "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": "c2d2dfe363def459d264c48c350eb41e9212af882d7cee1a7a7a6e613bd96b4a"}
+{"episode": 58023, "episode_seed": 260963581, "split": "train", "timestamp": "2025-10-13T03:01:37.632599", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 260963581, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-10.0, -3.2, 26.2])</answer>", "action": "('move', [-10.0, -3.2, 26.2])", "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": "ba5823cfe05c3696bfaec8d52a9ee1e1c8afe532c7d079af247b10f105a5e91e"}
+{"episode": 58024, "episode_seed": 991505036, "split": "train", "timestamp": "2025-10-13T03:01:38.594228", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 991505036, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [1.2, 4.3, -6.1])</answer>", "action": "('move', [1.2, 4.3, -6.1])", "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": "d2b02b576eda67def96dfbb8a4190d8ee84888e3106bd7ccac051417ee8aec07"}
+{"episode": 58025, "episode_seed": 572849349, "split": "train", "timestamp": "2025-10-13T03:01:39.124279", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 572849349, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-223.3, 419.5, -4.5])</answer>", "action": "('move', [-223.3, 419.5, -4.5])", "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": "cbe0bd75b7ae759fd151fdd2c8def2ef264ed1e88130521d3298ed8a036868d3"}
+{"episode": 58026, "episode_seed": 423439402, "split": "train", "timestamp": "2025-10-13T03:01:39.634429", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 423439402, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-5.0, -5.5, 20.7])</answer>", "action": "('move', [-5.0, -5.5, 20.7])", "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": "70a98cd91c58400fcb87aca1ae588c69879dc73cdefa852a092c73cc8f4c5575"}
+{"episode": 58027, "episode_seed": 1098858747, "split": "train", "timestamp": "2025-10-13T03:01:40.112618", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1098858747, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [7.7, 56.0, 88.7])</answer>", "action": "('move', [7.7, 56.0, 88.7])", "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": "96cd92fb108a644de1c99adce567524c47bdee71bcd3e95303fda9a34a13b60b"}
+{"episode": 58028, "episode_seed": 2339569497, "split": "train", "timestamp": "2025-10-13T03:01:40.635318", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2339569497, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-1.1, -32.4, 4.1])</answer>", "action": "('move', [-1.1, -32.4, 4.1])", "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": "bcd1b9936a4136e2685f4bddf80ad56224eeee8d12b91f2daafeb74e89ace09d"}
+{"episode": 58029, "episode_seed": 1361677658, "split": "train", "timestamp": "2025-10-13T03:01:41.590999", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1361677658, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [82.7, 88.7, -28.2])</answer>", "action": "('move', [82.7, 88.7, -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": "8a7d32a7df1a251706782737daae0f9095472f9ac121019ed1861d64a29ae634"}
+{"episode": 58030, "episode_seed": 476270146, "split": "train", "timestamp": "2025-10-13T03:01:42.129908", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 476270146, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-4.3, 0.5, -53.5])</answer>", "action": "('move', [-4.3, 0.5, -53.5])", "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": "864138a74a6a2109dbc2cf3661c7165a4e69da48aadd93c5a4edc211ca8727d5"}
+{"episode": 58031, "episode_seed": 1109315539, "split": "train", "timestamp": "2025-10-13T03:01:42.650596", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1109315539, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [10.7, 2.6, 59.3])</answer>", "action": "('move', [10.7, 2.6, 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": "ef566af1c59f27c17ba5b1f924d454bc5c1415d4e4970829a84a925b5485990b"}
+{"episode": 58032, "episode_seed": 4033963208, "split": "train", "timestamp": "2025-10-13T03:01:43.175367", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4033963208, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-30.4, -27.1, 11.8])</answer>", "action": "('move', [-30.4, -27.1, 11.8])", "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": "a6b4e5c0c8a4a864bcdaf3cbb96e4c5f7cc63884ac64e8ca085ee66e8d9328a1"}
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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', [1.9, 0.1, -15.3])</answer>", "action": "('move', [1.9, 0.1, -15.3])", "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": "a9c00310a82a828ee1564a823d6fecc6915b24ae89491c8ef46d6f304ff30e09"}
+{"episode": 58034, "episode_seed": 586068978, "split": "train", "timestamp": "2025-10-13T03:01:44.633646", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 586068978, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-2.5, 12.0, -7.2])</answer>", "action": "('move', [-2.5, 12.0, -7.2])", "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": "264881ee8bd4d1920d0eb76211cf8465bb62457a3c314c4a32f6149d1702b9c0"}
+{"episode": 58035, "episode_seed": 3327698443, "split": "train", "timestamp": "2025-10-13T03:01:45.185258", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3327698443, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-6.3, -3.0, 65.2])</answer>", "action": "('move', [-6.3, -3.0, 65.2])", "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": "16df789edf3bb53cfa386b92d0a4c07a7c32e97f644a7bef01b81a6200e8b2b6"}
+{"episode": 58036, "episode_seed": 1828257222, "split": "train", "timestamp": "2025-10-13T03:01:45.730728", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1828257222, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-38.4, 7.0, -51.1])</answer>", "action": "('move', [-38.4, 7.0, -51.1])", "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": "e81b0dc1929f5f7c7f08f35e5df3462708b73002a8fde6607e56d58874ef8a3d"}
+{"episode": 58037, "episode_seed": 1987748467, "split": "train", "timestamp": "2025-10-13T03:01:46.257137", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1987748467, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-0.3, -1.6, 60.8])</answer>", "action": "('move', [-0.3, -1.6, 60.8])", "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": "4cce50d4706f273406f8c07dc422c674a95ae90ed99187d3eaf8dce17ac0adaf"}
+{"episode": 58038, "episode_seed": 2665513744, "split": "train", "timestamp": "2025-10-13T03:01:46.789478", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2665513744, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, -2.8, -59.2])</answer>", "action": "('move', [-5.9, -2.8, -59.2])", "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": "c8d4f6b4023446c631c3a9385d4fa8758a85c565717d13bdf502aac97baf47f6"}
+{"episode": 58039, "episode_seed": 3511386149, "split": "train", "timestamp": "2025-10-13T03:01:47.702616", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3511386149, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.5, 5.2, 61.6])</answer>", "action": "('move', [2.5, 5.2, 61.6])", "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": "2b388f3b0560f5595e4c34c14486062d79ddea5184c260e776e77e2ffcf5c32f"}
+{"episode": 58040, "episode_seed": 1287929940, "split": "train", "timestamp": "2025-10-13T03:01:48.259250", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1287929940, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.1, -56.8])</answer>", "action": "('move', [-1.0, -1.1, -56.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "c4cd4f6f15a803d900f5fdd814ac1ec0622587bdecced70c0329bd51ca3a4816"}
+{"episode": 58041, "episode_seed": 226030955, "split": "train", "timestamp": "2025-10-13T03:01:48.791035", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 226030955, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-15.0, -31.3, 83.1])</answer>", "action": "('move', [-15.0, -31.3, 83.1])", "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": "b7bc5f25d80174936a5d96a80ede7d31f05ef1c8a69d4505862061e4d4403887"}
+{"episode": 58042, "episode_seed": 2965930472, "split": "train", "timestamp": "2025-10-13T03:01:49.331969", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2965930472, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [8.1, 6.6, 89.2])</answer>", "action": "('move', [8.1, 6.6, 89.2])", "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": "7306b7b4f19ca5c22b3c90f81dc02e1267e5205cc5ac367554d584142342cae3"}
+{"episode": 58043, "episode_seed": 1289390572, "split": "train", "timestamp": "2025-10-13T03:01:49.849384", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1289390572, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [143.9, 40.3, -5.9])</answer>", "action": "('move', [143.9, 40.3, -5.9])", "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": "673ba550d53981881f42bb83f29c176991e2a752a6cdec41e6af173034a73ee6"}
+{"episode": 58044, "episode_seed": 518749037, "split": "train", "timestamp": "2025-10-13T03:01:50.754725", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 518749037, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [162.3, 24.8, -54.6])</answer>", "action": "('move', [162.3, 24.8, -54.6])", "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": "b5f131fcd8a154536418d363ba1fe2fc486c2529ef77ec730f1e8ea64bea40d3"}
+{"episode": 58045, "episode_seed": 2816817609, "split": "train", "timestamp": "2025-10-13T03:01:51.291508", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2816817609, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [3.0, 7.5, 63.4])</answer>", "action": "('move', [3.0, 7.5, 63.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9d63c254b8a19e19fa9962e725d5ec12fffa4aead1e22d45e6cbbd94f33f2027"}
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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', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [1.5, 6.0, 49.0])</answer>", "action": "('move', [1.5, 6.0, 49.0])", "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": "8dd557f2c8128f62eb4c97c3759ccfe9bb65632fd065a97e6204925498636098"}
+{"episode": 58047, "episode_seed": 3437686819, "split": "train", "timestamp": "2025-10-13T03:01:52.377481", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3437686819, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-143.2, -62.4, 37.0])</answer>", "action": "('move', [-143.2, -62.4, 37.0])", "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": "7eb961c56a40543ea6e7a29adaa54308667c364b1f47cdc299b33d73b1d5d50e"}
+{"episode": 58048, "episode_seed": 2775443065, "split": "train", "timestamp": "2025-10-13T03:01:52.902070", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2775443065, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [1.9, -9.7, 13.8])</answer>", "action": "('move', [1.9, -9.7, 13.8])", "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": "82c4caf6802f8ff5772f6445bab3a422117122e2a97e4c04706e3b72fb367e85"}
+{"episode": 58049, "episode_seed": 2742853568, "split": "train", "timestamp": "2025-10-13T03:01:53.807191", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2742853568, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-1.0, 2.3, -24.5])</answer>", "action": "('move', [-1.0, 2.3, -24.5])", "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": "ee42ce10ec3ecdc5baf945e178b65bd11d8ae9e20d91e9bbcf4061a3f530a399"}
+{"episode": 58050, "episode_seed": 3519633576, "split": "train", "timestamp": "2025-10-13T03:01:54.330733", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3519633576, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, -4.0, -16.0])</answer>", "action": "('move', [-0.6, -4.0, -16.0])", "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": "59ebb75c4306286bccd8d75a757169ba29f4487e8022dd1c4e07253ddb4fad70"}
+{"episode": 58051, "episode_seed": 4000575812, "split": "train", "timestamp": "2025-10-13T03:01:54.862454", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4000575812, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [70.2, 513.5, 1.4])</answer>", "action": "('move', [70.2, 513.5, 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": "7c5eaf1f68fff0be2f7154774c6b432d8b076f84f0d517f99c09e263158fd4af"}
+{"episode": 58052, "episode_seed": 1348137594, "split": "train", "timestamp": "2025-10-13T03:01:55.396961", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1348137594, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [79.1, -48.8, 8.2])</answer>", "action": "('move', [79.1, -48.8, 8.2])", "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": "44a39db53bc747b50a088ea8e6d57bc2d325ca99049f54f675036b737078e110"}
+{"episode": 58053, "episode_seed": 3582558268, "split": "train", "timestamp": "2025-10-13T03:01:55.913720", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3582558268, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [18.7, -18.2, -32.0])</answer>", "action": "('move', [18.7, -18.2, -32.0])", "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": "982b5ff3a4a90f1aa560a0a1b1fb6aa2153c49edd26ad5e7f06fc20fc25e7e12"}
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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', [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', [-0.1, 48.0, 36.0])</answer>", "action": "('move', [-0.1, 48.0, 36.0])", "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": "bd32824b3ac4491680718e027e0b937aceb2c89e266071ab542d82eb70f0e710"}
+{"episode": 58055, "episode_seed": 2449896914, "split": "train", "timestamp": "2025-10-13T03:01:57.322585", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2449896914, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [44.7, -107.7, 34.2])</answer>", "action": "('move', [44.7, -107.7, 34.2])", "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": "a1f3e3c6a7c10b7f980aa075f2a7d5943292c008d9483f69f25d4894f6a9a511"}
+{"episode": 58056, "episode_seed": 2729338740, "split": "train", "timestamp": "2025-10-13T03:01:57.667022", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2729338740, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 49.3])</answer>", "action": "('move', [-0.2, 1.2, 49.3])", "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": "1eb5b43bf0c90453b0dae61943d8fa6e8cc553953e7ca4bb6e94039fab3be7eb"}
+{"episode": 58057, "episode_seed": 1094009407, "split": "train", "timestamp": "2025-10-13T03:01:58.021996", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1094009407, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [55.7, -92.0, 24.8])</answer>", "action": "('move', [55.7, -92.0, 24.8])", "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": "7e86d5a03188a303096c13b45c3d1cd858f661ed52f44f50719a090a0e7ec87a"}
+{"episode": 58058, "episode_seed": 3791907023, "split": "train", "timestamp": "2025-10-13T03:01:58.375873", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3791907023, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-16.4, 20.3, -87.8])</answer>", "action": "('move', [-16.4, 20.3, -87.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "5431b2023b62f597a594744501b182a6d313a79e72e36e4b317fc5d28565090d"}
+{"episode": 58059, "episode_seed": 2259608917, "split": "train", "timestamp": "2025-10-13T03:01:59.243760", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2259608917, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-5.4, 2.9, -5.0])</answer>", "action": "('move', [-5.4, 2.9, -5.0])", "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": "f2bb14dae902226797d4c82c69be12e0914528f45584e6c0daf4d871b2821ab5"}
+{"episode": 58060, "episode_seed": 272541338, "split": "train", "timestamp": "2025-10-13T03:01:59.630586", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 272541338, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-13.7, -5.8, 72.9])</answer>", "action": "('move', [-13.7, -5.8, 72.9])", "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": "37a69cf6369187a9cbcc13e49656df69bac5fb2eb52a6bdc8b31279ec39c61cf"}
+{"episode": 58061, "episode_seed": 3161244404, "split": "train", "timestamp": "2025-10-13T03:01:59.997824", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3161244404, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-20.2, -21.8, 44.4])</answer>", "action": "('move', [-20.2, -21.8, 44.4])", "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": "1c4f1dce76c497a3adcb9a71e96a684b48e232f09942cb768f6d9da4feadfe4b"}
+{"episode": 58062, "episode_seed": 1581898889, "split": "train", "timestamp": "2025-10-13T03:02:00.482866", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1581898889, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.5, 8.8, -68.0])</answer>", "action": "('move', [-1.5, 8.8, -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": "c6131f1e1eec8bd3befd42da35e9853dd694a87bc48b3dddc8325c72b002fe8c"}
+{"episode": 58063, "episode_seed": 3734155031, "split": "train", "timestamp": "2025-10-13T03:02:00.934853", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3734155031, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-24.2, -45.8, 45.6])</answer>", "action": "('move', [-24.2, -45.8, 45.6])", "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": "4ac2491f3c3bcfcee56d93332e4fa142ee3e1158deac39c54337edc7f264398f"}
+{"episode": 58064, "episode_seed": 510253392, "split": "train", "timestamp": "2025-10-13T03:02:01.855451", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 510253392, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [13.5, -13.1, -8.9])</answer>", "action": "('move', [13.5, -13.1, -8.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "d9d831c289dff9dfa96d9f9ac9008335a190db057648d0b5e80ddce7cbc69346"}
+{"episode": 58065, "episode_seed": 856650177, "split": "train", "timestamp": "2025-10-13T03:02:02.373149", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 856650177, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 12.1, 54.7])</answer>", "action": "('move', [11.3, 12.1, 54.7])", "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": "4e5988e23771a2738132ab11facdcaeee3544f66850e00a22a03458e9c68c2ff"}
+{"episode": 58066, "episode_seed": 1210794006, "split": "train", "timestamp": "2025-10-13T03:02:02.900228", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1210794006, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-91.3, 37.2, -46.0])</answer>", "action": "('move', [-91.3, 37.2, -46.0])", "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": "e57a7061ef238074c0fa484b74a1b9a35391dc2e1078a4280edbc371be583fb1"}
+{"episode": 58067, "episode_seed": 2673722983, "split": "train", "timestamp": "2025-10-13T03:02:03.419416", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2673722983, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [32.1, -6.5, -4.5])</answer>", "action": "('move', [32.1, -6.5, -4.5])", "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": "f513d834bbfb58adc0d77f3c48519864190cb2956e90a26977105dc210b9bee4"}
+{"episode": 58068, "episode_seed": 3309778033, "split": "train", "timestamp": "2025-10-13T03:02:03.941182", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3309778033, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-375.2, -172.7, -62.6])</answer>", "action": "('move', [-375.2, -172.7, -62.6])", "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": "1af457dafb9d9bd559673bdddd9ad59104c7ca9c5e7ebbf9391d1185600e3c0a"}
+{"episode": 58069, "episode_seed": 1307345238, "split": "train", "timestamp": "2025-10-13T03:02:04.839030", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1307345238, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, -6.5, 75.6])</answer>", "action": "('move', [0.7, -6.5, 75.6])", "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": "7357b2371e0a59a60d5b4c7f4f079ffc7f2343e3c06aa06d6bbb086cfa5f897a"}
+{"episode": 58070, "episode_seed": 1000335415, "split": "train", "timestamp": "2025-10-13T03:02:05.361570", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1000335415, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [0.8, 2.8, -72.3])</answer>", "action": "('move', [0.8, 2.8, -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": "97dda9e8a70fe6bfa78dc9325a080b6d897824fae5c8c707cd864b7b5441403e"}
+{"episode": 58071, "episode_seed": 112039345, "split": "train", "timestamp": "2025-10-13T03:02:05.877960", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 112039345, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-27.0, -87.8, -80.8])</answer>", "action": "('move', [-27.0, -87.8, -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": "c4fc7de528fe29896cc42d1216c45c16482aac97898890aa65095a657823a94b"}
+{"episode": 58072, "episode_seed": 1437129318, "split": "train", "timestamp": "2025-10-13T03:02:06.395593", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1437129318, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-27.5, -18.1, 40.2])</answer>", "action": "('move', [-27.5, -18.1, 40.2])", "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": "4a73884b363464100f1f7003ecd6e1625d7aec1dd38d468399587f1f69f36478"}
+{"episode": 58073, "episode_seed": 2044376598, "split": "train", "timestamp": "2025-10-13T03:02:06.907247", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2044376598, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [16.6, -8.0, -31.6])</answer>", "action": "('move', [16.6, -8.0, -31.6])", "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": "7b4c0d65fea100fdd41f8fce8c3bb89c69df27c830d8748a998cc6ac5dd3fb25"}
+{"episode": 58074, "episode_seed": 1174407002, "split": "train", "timestamp": "2025-10-13T03:02:07.819732", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1174407002, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 1.0, -82.1])</answer>", "action": "('move', [-0.7, 1.0, -82.1])", "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": "bcf2e47f3d2dce59e7e4d4fe01e9df1b1a10524cf8e9b7c671fe8ed7eca568f7"}
+{"episode": 58075, "episode_seed": 4168940213, "split": "train", "timestamp": "2025-10-13T03:02:08.266240", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4168940213, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-12.6, 277.3, -8.3])</answer>", "action": "('move', [-12.6, 277.3, -8.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8bc001d8ad7e12e1a4790622afe28874e1a0ca5a79e0395e8597fbef3b4fd46a"}
+{"episode": 58076, "episode_seed": 2934885448, "split": "train", "timestamp": "2025-10-13T03:02:08.781285", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2934885448, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-9.7, 7.2, -69.7])</answer>", "action": "('move', [-9.7, 7.2, -69.7])", "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": "56e3a76b15fa55fe12767fc5cee17fc34d76f472ede58aa9282ec679aa3786bb"}
+{"episode": 58077, "episode_seed": 424637567, "split": "train", "timestamp": "2025-10-13T03:02:09.301856", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 424637567, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [51.6, 21.6, 48.8])</answer>", "action": "('move', [51.6, 21.6, 48.8])", "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": "de497451e507f05e10b443bacdb9ed804df9beda61e7725594734cbccd2d89b4"}
+{"episode": 58078, "episode_seed": 276155640, "split": "train", "timestamp": "2025-10-13T03:02:09.818334", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 276155640, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-0.4, -3.4, -86.2])</answer>", "action": "('move', [-0.4, -3.4, -86.2])", "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": "0cee9808f352d6b5577ad6d1a295222b0c13df7c717a75b05386ca20408acfae"}
+{"episode": 58079, "episode_seed": 1895912676, "split": "train", "timestamp": "2025-10-13T03:02:10.668629", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1895912676, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-10.8, 4.9, -39.6])</answer>", "action": "('move', [-10.8, 4.9, -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": "7f3873e3cfdfc5cf0ac8aed59840a94cf24d7dc9241e78b1c70307248effbad2"}
+{"episode": 58080, "episode_seed": 4056297062, "split": "train", "timestamp": "2025-10-13T03:02:11.018200", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4056297062, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-118.4, -266.7, 5.1])</answer>", "action": "('move', [-118.4, -266.7, 5.1])", "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": "b709408893c75cbfbb6a471779ad7d563e363f2eb1fa5e1c138b8bf3b304baf6"}
+{"episode": 58081, "episode_seed": 75316816, "split": "train", "timestamp": "2025-10-13T03:02:11.366340", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 75316816, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-0.8, -1.0, -86.4])</answer>", "action": "('move', [-0.8, -1.0, -86.4])", "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": "de282b25eb1b0d47924243475e69623a689dd46007542a4a5be8a139b28dc9f7"}
+{"episode": 58082, "episode_seed": 2661376779, "split": "train", "timestamp": "2025-10-13T03:02:11.748019", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2661376779, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-6.1, -10.3, -67.0])</answer>", "action": "('move', [-6.1, -10.3, -67.0])", "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": "8fd92d589f353980e92e499fd56f455c44f1c1f8cc6f612c042056f989956351"}
+{"episode": 58083, "episode_seed": 1480343735, "split": "train", "timestamp": "2025-10-13T03:02:12.094083", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1480343735, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [19.1, -17.3, -13.4])</answer>", "action": "('move', [19.1, -17.3, -13.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "b9bd3cacc5f50adb46d908f33ff0bf5a24cbe104f47283c3da7e96f26e684320"}
+{"episode": 58084, "episode_seed": 1976166515, "split": "train", "timestamp": "2025-10-13T03:02:12.814511", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1976166515, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 12.5, -65.9])</answer>", "action": "('move', [-5.7, 12.5, -65.9])", "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": "5e391296461882a84b55b087bd372f5e9d849ee97225e26ab11a207e55799e92"}
+{"episode": 58085, "episode_seed": 1596569503, "split": "train", "timestamp": "2025-10-13T03:02:13.161277", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1596569503, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, 12.1, -24.1])</answer>", "action": "('move', [10.5, 12.1, -24.1])", "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": "cddb4afd83608b5cdd1814180d156e911976bd980eb82d064cba3adbf1c00c6d"}
+{"episode": 58086, "episode_seed": 1714250602, "split": "train", "timestamp": "2025-10-13T03:02:13.508309", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1714250602, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [5.0, -13.0, -51.7])</answer>", "action": "('move', [5.0, -13.0, -51.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "714199bc88ba02b0d0b09b99f0e990a5e532b5e91f0caebffdf1cf313a5a8e8c"}
+{"episode": 58087, "episode_seed": 296492861, "split": "train", "timestamp": "2025-10-13T03:02:13.852836", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 296492861, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [28.7, 6.4, -76.0])</answer>", "action": "('move', [28.7, 6.4, -76.0])", "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": "60f319c9f1ebb4c2177b6ca2adae7d8167cfed0ad723e49d630abaaeacf003dc"}
+{"episode": 58088, "episode_seed": 3118903861, "split": "train", "timestamp": "2025-10-13T03:02:14.192867", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3118903861, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [14.5, -0.8, -72.3])</answer>", "action": "('move', [14.5, -0.8, -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": "09a6959b915ee6caf2374e86bddef950cf1910d6f4d6bf81dd306be90dadcd79"}
+{"episode": 58089, "episode_seed": 3730337610, "split": "train", "timestamp": "2025-10-13T03:02:14.891372", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3730337610, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-10.1, -7.4, -5.9])</answer>", "action": "('move', [-10.1, -7.4, -5.9])", "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": "626a09d644835fa3e73d619bec34281059c84035648ff9b2f096f35471727a19"}
+{"episode": 58090, "episode_seed": 621987887, "split": "train", "timestamp": "2025-10-13T03:02:15.239723", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 621987887, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-17.0, 17.3, 0.1])</answer>", "action": "('move', [-17.0, 17.3, 0.1])", "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": "3087b75308e37627080427a1f4d005f3392eb17a9486a90a219a58e4e46a512b"}
+{"episode": 58091, "episode_seed": 4268513877, "split": "train", "timestamp": "2025-10-13T03:02:15.626927", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4268513877, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-7.9, 17.4, -42.5])</answer>", "action": "('move', [-7.9, 17.4, -42.5])", "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": "11b13feb4f5e2cb370a431d03f495285ef5b4d553174ce02952714ebe3875208"}
+{"episode": 58092, "episode_seed": 4129055778, "split": "train", "timestamp": "2025-10-13T03:02:16.009984", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 4129055778, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [40.9, -71.7, 65.8])</answer>", "action": "('move', [40.9, -71.7, 65.8])", "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": "a2ecbfaa88c40f335f207a7010f574aacd033df4ce744fd66a7e59c88f70af4f"}
+{"episode": 58093, "episode_seed": 459492916, "split": "train", "timestamp": "2025-10-13T03:02:16.408295", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 459492916, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.9, 1.2, -62.3])</answer>", "action": "('move', [3.9, 1.2, -62.3])", "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": "16ff8fdef87655d005247d4e0e42905d74ba6e6805d00b36be8153de6f16c50f"}
+{"episode": 58094, "episode_seed": 330084255, "split": "train", "timestamp": "2025-10-13T03:02:17.229328", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 330084255, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [10.5, 0.2, -46.4])</answer>", "action": "('move', [10.5, 0.2, -46.4])", "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": "6ed49da1cd3221bfcc25892b76e1154bffb0c7a6e9136c0e7f0b760266d2bbc1"}
+{"episode": 58095, "episode_seed": 487761593, "split": "train", "timestamp": "2025-10-13T03:02:17.708649", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 487761593, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [95.4, -182.7, -80.1])</answer>", "action": "('move', [95.4, -182.7, -80.1])", "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": "0484618ab372dd05deecfa0dffd26d0befb32572c3b3e57d0b158d2d2c6a6071"}
+{"episode": 58096, "episode_seed": 2955465656, "split": "train", "timestamp": "2025-10-13T03:02:18.247314", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 2955465656, "verbose": false, "save_verbose": false, "elicit_verbalization": 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, -15.2, -35.2])</answer>", "action": "('move', [3.8, -15.2, -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": "fb7256046bd0ec1c71f174e23757473e72029572cfad77c2f8c735042a57cdef"}
+{"episode": 58097, "episode_seed": 81133449, "split": "train", "timestamp": "2025-10-13T03:02:18.787119", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 81133449, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [-370.2, 165.4, -27.2])</answer>", "action": "('move', [-370.2, 165.4, -27.2])", "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": "c16976f8a01f067db883c2919007f32046bbcd2a1a4284f58d8285dcac5fc282"}
+{"episode": 58098, "episode_seed": 3979326054, "split": "train", "timestamp": "2025-10-13T03:02:19.317452", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 3979326054, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [1.7, -0.5, 29.5])</answer>", "action": "('move', [1.7, -0.5, 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": "280c978f5e510431c30d9bd9f0bba9089fec83497bd903fd0d9c064b4936409e"}
+{"episode": 58099, "episode_seed": 1167130357, "split": "train", "timestamp": "2025-10-13T03:02:20.277411", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x72d79fdab850>", "max_steps": 10, "abs_size": 336, "master_seed": 622, "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": 1167130357, "verbose": false, "save_verbose": false, "elicit_verbalization": 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', [6.2, -14.1, 54.9])</answer>", "action": "('move', [6.2, -14.1, 54.9])", "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": "e563c27ef30658078ba8e6b9c840d04e884e8d04124e6844c35c6d0b33c024bb"}