diff --git "a/matchstick_rotation/train/batch_000865.jsonl" "b/matchstick_rotation/train/batch_000865.jsonl"
new file mode 100644--- /dev/null
+++ "b/matchstick_rotation/train/batch_000865.jsonl"
@@ -0,0 +1,100 @@
+{"episode": 86500, "episode_seed": 499933072, "split": "train", "timestamp": "2025-10-13T03:07:53.201502", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 499933072, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [9.3, 11.2, -72.5])</answer>", "action": "('move', [9.3, 11.2, -72.5])", "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": "c7e8e4d692179f7a217faaa5b02c8c542784d7480f7d3a1385c72f06126685a2"}
+{"episode": 86501, "episode_seed": 2695489646, "split": "train", "timestamp": "2025-10-13T03:07:53.696843", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2695489646, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [24.3, 4.2, -22.0])</answer>", "action": "('move', [24.3, 4.2, -22.0])", "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": "64d95baa5f982bf2d302fe67925f2a1e6453ce67d545cca5105a4842fad6b25a"}
+{"episode": 86502, "episode_seed": 829687615, "split": "train", "timestamp": "2025-10-13T03:07:54.124469", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 829687615, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-28.1, -17.3, -41.4])</answer>", "action": "('move', [-28.1, -17.3, -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": "a8de162497881c38317de7ed2c6dd107553ef3b69a49bc899de8368410ccd3e6"}
+{"episode": 86503, "episode_seed": 150454756, "split": "train", "timestamp": "2025-10-13T03:07:54.615479", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 150454756, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, -3.9, 86.1])</answer>", "action": "('move', [-7.9, -3.9, 86.1])", "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": "d662f5a77080071275716dcfbdf23e46a7345d8d39d6191767ff5541383f787c"}
+{"episode": 86504, "episode_seed": 2725316013, "split": "train", "timestamp": "2025-10-13T03:07:55.523991", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2725316013, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [23.2, -9.3, -52.3])</answer>", "action": "('move', [23.2, -9.3, -52.3])", "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": "ecc6cf1c1222177fc857836647f9cafd310b8f40e3e25fadde5a2c3e5b61c9c2"}
+{"episode": 86505, "episode_seed": 262331096, "split": "train", "timestamp": "2025-10-13T03:07:55.916986", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 262331096, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-5.3, -10.2, -60.3])</answer>", "action": "('move', [-5.3, -10.2, -60.3])", "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": "e24b1f67bc3e00e69aeebab8e2f3f2a6fbd1a2a5f7155493e7c9633f6bb29387"}
+{"episode": 86506, "episode_seed": 1475993454, "split": "train", "timestamp": "2025-10-13T03:07:56.292046", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1475993454, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-7.7, 4.1, 88.8])</answer>", "action": "('move', [-7.7, 4.1, 88.8])", "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": "c16751a3639c4368e85867d663adb18b72de0b225581b531f88bd4c66fc75865"}
+{"episode": 86507, "episode_seed": 763530743, "split": "train", "timestamp": "2025-10-13T03:07:56.671805", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 763530743, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-9.1, 3.8, -63.3])</answer>", "action": "('move', [-9.1, 3.8, -63.3])", "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": "6da987c6cdcdb56e22ac68aa1c29f815ca995eef12c7f0344926cb39f0f38258"}
+{"episode": 86508, "episode_seed": 4034464496, "split": "train", "timestamp": "2025-10-13T03:07:57.056106", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4034464496, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [5.5, -6.4, 39.0])</answer>", "action": "('move', [5.5, -6.4, 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": "1a905fff2fd9b2c039e8e7094dbc43591ae13acf942d08b81915f3fb32f0094c"}
+{"episode": 86509, "episode_seed": 4109314375, "split": "train", "timestamp": "2025-10-13T03:07:57.872152", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4109314375, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-8.6, -6.2, -47.7])</answer>", "action": "('move', [-8.6, -6.2, -47.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "951e934030dbe28e0fe93de7bdedf0481535524f8fa5f65dfe3813ee063849fc"}
+{"episode": 86510, "episode_seed": 261070452, "split": "train", "timestamp": "2025-10-13T03:07:58.246362", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 261070452, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-101.1, -406.2, -77.6])</answer>", "action": "('move', [-101.1, -406.2, -77.6])", "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": "f1698f97bcbd7d53399053f881e83de8fde7a16e0c60f2a080d4957a61ac5fb2"}
+{"episode": 86511, "episode_seed": 624337485, "split": "train", "timestamp": "2025-10-13T03:07:58.608798", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 624337485, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.2, 0.8, 29.3])</answer>", "action": "('move', [2.2, 0.8, 29.3])", "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": "d972bc962e01835330b1f6b0611ddb4a7ac93ea8d2d35dac78a1df3aae8b7983"}
+{"episode": 86512, "episode_seed": 3347489982, "split": "train", "timestamp": "2025-10-13T03:07:58.967420", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3347489982, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 0.3, -65.3])</answer>", "action": "('move', [-0.1, 0.3, -65.3])", "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": "22cdcb01769029fa46713544b5bc2a5bd037832ca12e7741f8675ec57db12f4e"}
+{"episode": 86513, "episode_seed": 3838823420, "split": "train", "timestamp": "2025-10-13T03:07:59.340266", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3838823420, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, -12.2, -64.4])</answer>", "action": "('move', [16.4, -12.2, -64.4])", "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": "07160b8816c86d196fd71a80cbc147939f4114034e01a74da402cdfbe7ea71d1"}
+{"episode": 86514, "episode_seed": 1333434510, "split": "train", "timestamp": "2025-10-13T03:08:00.120645", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1333434510, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-9.2, -28.0, -57.5])</answer>", "action": "('move', [-9.2, -28.0, -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": "631342b9269e73fabba2a1a9999fe035de83da5b8d411a37c198f268d8cf39d7"}
+{"episode": 86515, "episode_seed": 2768419833, "split": "train", "timestamp": "2025-10-13T03:08:00.545139", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2768419833, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [8.7, 229.0, 55.5])</answer>", "action": "('move', [8.7, 229.0, 55.5])", "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": "79946bcbdee4e6509345fa3958ea473e2a013dcde295b051949716d283f18196"}
+{"episode": 86516, "episode_seed": 479413878, "split": "train", "timestamp": "2025-10-13T03:08:00.981356", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 479413878, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 4.5, -88.3])</answer>", "action": "('move', [-10.5, 4.5, -88.3])", "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": "7a791d6cf761b15c45fc8986df14cbe655c1d707ea3fc80e7f3744e26ab2abc2"}
+{"episode": 86517, "episode_seed": 1044423434, "split": "train", "timestamp": "2025-10-13T03:08:01.477218", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1044423434, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [36.9, 24.9, 44.1])</answer>", "action": "('move', [36.9, 24.9, 44.1])", "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": "cd9f7924396ddb129592fb1e3aaf55768082d225e86ea24677ecd9f48f516786"}
+{"episode": 86518, "episode_seed": 3657203147, "split": "train", "timestamp": "2025-10-13T03:08:01.931291", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3657203147, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [0.9, -11.6, -18.7])</answer>", "action": "('move', [0.9, -11.6, -18.7])", "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": "51eb0d347e7b3f3f3160dbe2ea8bbea8059afee6ad95dce0df59bae34cf50097"}
+{"episode": 86519, "episode_seed": 3607237551, "split": "train", "timestamp": "2025-10-13T03:08:02.833587", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3607237551, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-64.4, -33.8, 42.1])</answer>", "action": "('move', [-64.4, -33.8, 42.1])", "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": "294e909044ef0c82f6b36e8ca80b5af4f246c776eae424e02f4e8aa6ed7beece"}
+{"episode": 86520, "episode_seed": 1107149537, "split": "train", "timestamp": "2025-10-13T03:08:03.336626", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1107149537, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-167.8, -148.6, -32.4])</answer>", "action": "('move', [-167.8, -148.6, -32.4])", "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": "a763a4dff92600e80258f1de8f54236d348a1df1963aba5581b461e9f613dea9"}
+{"episode": 86521, "episode_seed": 3963646884, "split": "train", "timestamp": "2025-10-13T03:08:03.854585", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3963646884, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, -5.8, 13.9])</answer>", "action": "('move', [-2.5, -5.8, 13.9])", "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": "a023685895524f8bec80db7bde7bc5f0a34b93940cb24234a2d759acb16dc632"}
+{"episode": 86522, "episode_seed": 2314064913, "split": "train", "timestamp": "2025-10-13T03:08:04.220616", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2314064913, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-10.7, -23.5, 21.5])</answer>", "action": "('move', [-10.7, -23.5, 21.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ac54b995952aa1e67f260a26233b2699cb57be088edac67ce9184808fd9fdc94"}
+{"episode": 86523, "episode_seed": 4000579086, "split": "train", "timestamp": "2025-10-13T03:08:04.594984", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4000579086, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, -3.0, -51.0])</answer>", "action": "('move', [-0.4, -3.0, -51.0])", "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": "fd6521d3c2da48f9aa732c0cb92ba974694cbabd120b55e2a8ce5b9a476bf6fc"}
+{"episode": 86524, "episode_seed": 1345609011, "split": "train", "timestamp": "2025-10-13T03:08:05.398877", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1345609011, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-5.5, -156.8, 15.8])</answer>", "action": "('move', [-5.5, -156.8, 15.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "846f12d0512265c7c1d8de16abe8dc6d5d18d5aa5c742f5109a1a6fd6a130f36"}
+{"episode": 86525, "episode_seed": 2330715342, "split": "train", "timestamp": "2025-10-13T03:08:05.780768", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2330715342, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [140.9, -26.3, -10.5])</answer>", "action": "('move', [140.9, -26.3, -10.5])", "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": "50160d30bdc1d9646bfe1d15ac7d02cab2ba5edf191ad11efdae63242e5a1ec7"}
+{"episode": 86526, "episode_seed": 2250930577, "split": "train", "timestamp": "2025-10-13T03:08:06.159190", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2250930577, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [8.6, -17.0, -54.8])</answer>", "action": "('move', [8.6, -17.0, -54.8])", "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": "456aa44e70c7548931e05c71df8640ff07d8e808939f071e918bc41b95e537d3"}
+{"episode": 86527, "episode_seed": 2262270198, "split": "train", "timestamp": "2025-10-13T03:08:06.529653", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2262270198, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.4, 4.2, -32.6])</answer>", "action": "('move', [3.4, 4.2, -32.6])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "84b732e26b42ebdc46e5bf897c7ebf7092d9bbef2055f6dd90377fd4fcdbab20"}
+{"episode": 86528, "episode_seed": 1916903125, "split": "train", "timestamp": "2025-10-13T03:08:06.941569", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1916903125, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-22.2, 88.5, -14.4])</answer>", "action": "('move', [-22.2, 88.5, -14.4])", "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": "94208081dc3504f70f0d871cb0a04de3c4eee185ef45d5aff83728a8d62be218"}
+{"episode": 86529, "episode_seed": 1218137657, "split": "train", "timestamp": "2025-10-13T03:08:07.718760", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1218137657, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [11.8, -10.5, 86.0])</answer>", "action": "('move', [11.8, -10.5, 86.0])", "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": "5c007b0cf1185026063567b37ed38793c71aea310d4fc894722ea5a346083828"}
+{"episode": 86530, "episode_seed": 1495107896, "split": "train", "timestamp": "2025-10-13T03:08:08.123315", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1495107896, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 4.2, -45.6])</answer>", "action": "('move', [-1.1, 4.2, -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": "6879778c83ca6811d9e43e0d64d3f5e00d9489cee8963e5821333981fecbeb34"}
+{"episode": 86531, "episode_seed": 2738882585, "split": "train", "timestamp": "2025-10-13T03:08:08.514511", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2738882585, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, -18.3, -81.3])</answer>", "action": "('move', [0.1, -18.3, -81.3])", "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": "3705789e52e5f57b64dfadae5b2f6989d236d6573fdd5c392f678e2de837403f"}
+{"episode": 86532, "episode_seed": 2229111355, "split": "train", "timestamp": "2025-10-13T03:08:08.961237", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2229111355, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [215.2, -11.3, 61.3])</answer>", "action": "('move', [215.2, -11.3, 61.3])", "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": "b5d203e196e8c8cc6accfa0af81d28cbbaeaa17434ecd569f4ef9cc9ef7c7409"}
+{"episode": 86533, "episode_seed": 1561231991, "split": "train", "timestamp": "2025-10-13T03:08:09.484269", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1561231991, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [64.3, 26.3, 8.9])</answer>", "action": "('move', [64.3, 26.3, 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": "87c6c22919fe1920e6a3021dc0dfd24a86e16235b2dcfd5c18831ccc2630cf97"}
+{"episode": 86534, "episode_seed": 3590719031, "split": "train", "timestamp": "2025-10-13T03:08:10.427440", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3590719031, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [0.0, -3.4, 20.1])</answer>", "action": "('move', [0.0, -3.4, 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": "dd03d2bc4a861069ceabbbf4656653cd85319f6a3655be4237f836658b8d7e0d"}
+{"episode": 86535, "episode_seed": 1578766342, "split": "train", "timestamp": "2025-10-13T03:08:10.824827", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1578766342, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-45.6, 28.2, -87.2])</answer>", "action": "('move', [-45.6, 28.2, -87.2])", "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": "18c80b249df3858f1b9ddb21595403610e4e0835e414993d017726fcb1e96a0a"}
+{"episode": 86536, "episode_seed": 1576154728, "split": "train", "timestamp": "2025-10-13T03:08:11.172424", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1576154728, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-22.8, 5.1, 59.6])</answer>", "action": "('move', [-22.8, 5.1, 59.6])", "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": "efe1979d0c8e4611457c6fd7ce816e83ae9d8bbbb908ac5b76a4aecaa39cefdc"}
+{"episode": 86537, "episode_seed": 1907655830, "split": "train", "timestamp": "2025-10-13T03:08:11.519151", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1907655830, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 23.3, -88.6])</answer>", "action": "('move', [-27.5, 23.3, -88.6])", "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": "4c35eabdb07d01b037a7126623f621943b84a59d81e17ebdc367aca2f1c7f6ae"}
+{"episode": 86538, "episode_seed": 3745838106, "split": "train", "timestamp": "2025-10-13T03:08:11.867491", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3745838106, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [7.1, -19.2, -61.1])</answer>", "action": "('move', [7.1, -19.2, -61.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "0c6b8b1d8a96b1180e5466f80fe0e48214f289a1a1cea2633935e56d1ed64d4f"}
+{"episode": 86539, "episode_seed": 2217962086, "split": "train", "timestamp": "2025-10-13T03:08:12.666792", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2217962086, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-76.1, -45.7, -33.3])</answer>", "action": "('move', [-76.1, -45.7, -33.3])", "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": "8301b67d207f92ed85e85baef05200b06f9b0002260132a3a8e137d50214d18f"}
+{"episode": 86540, "episode_seed": 1490544539, "split": "train", "timestamp": "2025-10-13T03:08:13.122265", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1490544539, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [1.4, 4.6, -22.9])</answer>", "action": "('move', [1.4, 4.6, -22.9])", "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": "0962bc10ab8ca2cae2b5256089501b72813670c5b87b1db2de8b4639d3d6b026"}
+{"episode": 86541, "episode_seed": 1990241767, "split": "train", "timestamp": "2025-10-13T03:08:13.496160", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1990241767, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-33.2, -27.2, 77.6])</answer>", "action": "('move', [-33.2, -27.2, 77.6])", "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": "77e882cc426bc1c711e6189df934e4c7b862f97ec60fd55ed5ae91552e29b612"}
+{"episode": 86542, "episode_seed": 233717098, "split": "train", "timestamp": "2025-10-13T03:08:13.866032", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 233717098, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [16.3, -3.0, -26.2])</answer>", "action": "('move', [16.3, -3.0, -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": "b57b86dd674a06e281b719f5c9efb38142a828b2b7921af4497d47f6246cf470"}
+{"episode": 86543, "episode_seed": 1879789867, "split": "train", "timestamp": "2025-10-13T03:08:14.231430", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1879789867, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [4.4, -1.2, -59.6])</answer>", "action": "('move', [4.4, -1.2, -59.6])", "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": "2309b510995601cae8dd7857e93d2ff1376ca384c461628d3ffd8b4117d1bf48"}
+{"episode": 86544, "episode_seed": 3026781078, "split": "train", "timestamp": "2025-10-13T03:08:14.999445", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3026781078, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [154.0, 21.0, 49.4])</answer>", "action": "('move', [154.0, 21.0, 49.4])", "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": "7667343e7ff8c0f0b553d20e18294dc3ca6cb443fe62f8f6883ad5335036bdff"}
+{"episode": 86545, "episode_seed": 807461192, "split": "train", "timestamp": "2025-10-13T03:08:15.392524", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 807461192, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-8.2, -51.2, 73.2])</answer>", "action": "('move', [-8.2, -51.2, 73.2])", "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": "85fec0ff78696da8148c4109b0b613bdf87711fb4298d44c6dfbf2b89dd87b50"}
+{"episode": 86546, "episode_seed": 3390328308, "split": "train", "timestamp": "2025-10-13T03:08:15.802639", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3390328308, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-38.6, -3.7, 89.3])</answer>", "action": "('move', [-38.6, -3.7, 89.3])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "4bdc5ab0c1e70d1d341f78028b38f0c1afcde8f0aeba3ae9b2e96d153da67bf8"}
+{"episode": 86547, "episode_seed": 3456285350, "split": "train", "timestamp": "2025-10-13T03:08:16.193473", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3456285350, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-0.2, 1.1, 77.7])</answer>", "action": "('move', [-0.2, 1.1, 77.7])", "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": "81d6d0ac0878f69946c3bac12d98ec38890b0c89be8040ba2e382fb17aa6b554"}
+{"episode": 86548, "episode_seed": 1357648605, "split": "train", "timestamp": "2025-10-13T03:08:16.579573", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1357648605, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [24.6, 10.2, 88.7])</answer>", "action": "('move', [24.6, 10.2, 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": "77229e21ebd5dd7c5bc2f7ab98aec0d1fd755315eda9bcf8c34e92502f4fff28"}
+{"episode": 86549, "episode_seed": 2621412551, "split": "train", "timestamp": "2025-10-13T03:08:17.461241", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2621412551, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-11.7, 17.5, -23.8])</answer>", "action": "('move', [-11.7, 17.5, -23.8])", "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": "d284d7090e93610076cabc6528b0c2898d2f9b33055ab0c4fc6219a6d1b265c0"}
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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', [-28.5, -7.7, 47.8])</answer>", "action": "('move', [-28.5, -7.7, 47.8])", "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": "f4ac1d1eff6b03210e15ac0f44bdb50206e1d9afca09da659c92d28be83c2591"}
+{"episode": 86551, "episode_seed": 287501413, "split": "train", "timestamp": "2025-10-13T03:08:18.368332", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 287501413, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [54.8, 33.2, 1.7])</answer>", "action": "('move', [54.8, 33.2, 1.7])", "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": "a1d1ab619d57ed70a8dc6f1b88bd2d306cad17db5931083ad0bb5af85eef985a"}
+{"episode": 86552, "episode_seed": 1543806292, "split": "train", "timestamp": "2025-10-13T03:08:18.720956", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1543806292, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [22.3, -2.7, -58.7])</answer>", "action": "('move', [22.3, -2.7, -58.7])", "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": "4980138248bab717883233e4c562e55c71ef70723743cc5adde58b554e86dda9"}
+{"episode": 86553, "episode_seed": 135169029, "split": "train", "timestamp": "2025-10-13T03:08:19.181948", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 135169029, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-10.6, -9.8, -50.3])</answer>", "action": "('move', [-10.6, -9.8, -50.3])", "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": "d207f31a3a0dfad50bb39cbe3394e274acc5f893ca5885eec755092efcc1c87c"}
+{"episode": 86554, "episode_seed": 2174335777, "split": "train", "timestamp": "2025-10-13T03:08:20.074851", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2174335777, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-64.9, 13.8, -12.6])</answer>", "action": "('move', [-64.9, 13.8, -12.6])", "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": "e9c0d8c685274765487ccff503057bff748cd64c8a655c4d6a473d94b8267671"}
+{"episode": 86555, "episode_seed": 494308171, "split": "train", "timestamp": "2025-10-13T03:08:20.466152", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 494308171, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-3.2, 9.1, -84.5])</answer>", "action": "('move', [-3.2, 9.1, -84.5])", "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": "45c9aa46980763f227912a63c81fb2ccb85389af25f24ed1ac7f56e377cae003"}
+{"episode": 86556, "episode_seed": 2048792103, "split": "train", "timestamp": "2025-10-13T03:08:20.883265", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2048792103, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-0.6, -1.2, 0.5])</answer>", "action": "('move', [-0.6, -1.2, 0.5])", "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": "034b35b188ba2a5a67b1f52dc1d936ec2f477f06da47f481f3adde6363470d02"}
+{"episode": 86557, "episode_seed": 2967927972, "split": "train", "timestamp": "2025-10-13T03:08:21.305427", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2967927972, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 2.0, 0.0])</answer>", "action": "('move', [-2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 1.0, 0.0])</answer>", "action": "('move', [-1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [0.6, -0.5, -66.1])</answer>", "action": "('move', [0.6, -0.5, -66.1])", "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": "fbd590d0053167a421e1b290bd0f0794ac0dd42ca36c52491eb812c38e1ea24b"}
+{"episode": 86558, "episode_seed": 3956597819, "split": "train", "timestamp": "2025-10-13T03:08:21.663847", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3956597819, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -2.0, 0.0])</answer>", "action": "('move', [0.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, -1.0, 0.0])</answer>", "action": "('move', [0.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-21.4, -89.1, 40.2])</answer>", "action": "('move', [-21.4, -89.1, 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": "eff00859636270cd0d65df2a6cd196f94aafea55fa281b32716ad28fef984a66"}
+{"episode": 86559, "episode_seed": 2686214709, "split": "train", "timestamp": "2025-10-13T03:08:22.509318", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2686214709, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 0.0, 0.0])</answer>", "action": "('move', [2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 0.0, 0.0])</answer>", "action": "('move', [1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [4.5, 2.6, -6.9])</answer>", "action": "('move', [4.5, 2.6, -6.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "ff12ae4983230c7f4f452e2112731ee8531ef705625f659efb530eabd80935a2"}
+{"episode": 86560, "episode_seed": 4218880749, "split": "train", "timestamp": "2025-10-13T03:08:22.945427", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4218880749, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 2.0, 0.0])</answer>", "action": "('move', [0.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [0.0, 1.0, 0.0])</answer>", "action": "('move', [0.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [2.1, 19.8, -23.9])</answer>", "action": "('move', [2.1, 19.8, -23.9])", "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": "622ae34a1e1fecbaf0ce657744d034213b555d8d6f3d21276a168e675e2cbd43"}
+{"episode": 86561, "episode_seed": 898833273, "split": "train", "timestamp": "2025-10-13T03:08:23.450723", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 898833273, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.4, -62.6])</answer>", "action": "('move', [-1.0, 0.4, -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": "1277663fbe3d2c64d582ef2a6f417042f7ef51bec21e7a61ad014cabc14dace2"}
+{"episode": 86562, "episode_seed": 1867493215, "split": "train", "timestamp": "2025-10-13T03:08:23.962340", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1867493215, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-26.0, -159.6, 29.0])</answer>", "action": "('move', [-26.0, -159.6, 29.0])", "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": "3cfd6affcda25f7bc093fccf7d33504ec64209aa9c9110e7f2f9b92e003d66eb"}
+{"episode": 86563, "episode_seed": 3859471549, "split": "train", "timestamp": "2025-10-13T03:08:24.399676", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3859471549, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [399.1, 292.2, -10.3])</answer>", "action": "('move', [399.1, 292.2, -10.3])", "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": "3554e98be6d65325d54824817912d2d7fa55533672fba34921cb00fd71be97a6"}
+{"episode": 86564, "episode_seed": 743560963, "split": "train", "timestamp": "2025-10-13T03:08:25.273969", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 743560963, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-169.9, -128.8, 12.4])</answer>", "action": "('move', [-169.9, -128.8, 12.4])", "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": "7c93ea39243246758fa12c809b271d9923b576096af5edba3ddbb80cb877d1bc"}
+{"episode": 86565, "episode_seed": 4192290571, "split": "train", "timestamp": "2025-10-13T03:08:25.713935", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4192290571, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [555.7, -36.8, 13.7])</answer>", "action": "('move', [555.7, -36.8, 13.7])", "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": "7afea12196c6bf9c11f6bd77f4fe732796dddd5ea7d386ff2429c2d0d27c3650"}
+{"episode": 86566, "episode_seed": 34887535, "split": "train", "timestamp": "2025-10-13T03:08:26.099721", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 34887535, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [4.1, -0.5, -28.5])</answer>", "action": "('move', [4.1, -0.5, -28.5])", "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": "5049cd4cf1a67355736f0390c2cbf3519560e20f6ea6c0dff728b4be2200c64e"}
+{"episode": 86567, "episode_seed": 3349462240, "split": "train", "timestamp": "2025-10-13T03:08:26.519809", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3349462240, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [5.3, -1.9, 86.2])</answer>", "action": "('move', [5.3, -1.9, 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": "f1a39ecdbc1776291bed956e75f39b250032f6acc2498a3a973964d53b2d593a"}
+{"episode": 86568, "episode_seed": 4274843570, "split": "train", "timestamp": "2025-10-13T03:08:26.946138", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4274843570, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-45.6, 9.1, -0.2])</answer>", "action": "('move', [-45.6, 9.1, -0.2])", "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": "35e053251a18706b8e5cf8b37fd168ab164dcfcf90f8288cb5b1a21356d8b797"}
+{"episode": 86569, "episode_seed": 3246145412, "split": "train", "timestamp": "2025-10-13T03:08:27.774245", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3246145412, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, -2.0, 0.0])</answer>", "action": "('move', [2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, -1.0, 0.0])</answer>", "action": "('move', [1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [9.2, -17.5, 48.1])</answer>", "action": "('move', [9.2, -17.5, 48.1])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "9ca6820870874f85e4cc5c956606236db6dfc0f12e574e3a4c2df48ef2926f94"}
+{"episode": 86570, "episode_seed": 2992702635, "split": "train", "timestamp": "2025-10-13T03:08:28.183161", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2992702635, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-275.3, -65.7, 66.4])</answer>", "action": "('move', [-275.3, -65.7, 66.4])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8a7017507b6389787b716963c057bba185ff2da95b90b57179fe2f1543c6ce26"}
+{"episode": 86571, "episode_seed": 3897452814, "split": "train", "timestamp": "2025-10-13T03:08:28.606493", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3897452814, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [79.5, 27.1, 73.0])</answer>", "action": "('move', [79.5, 27.1, 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": "ef0d9394090e1f1d4f505eecb03decce58623b7ba7f2e8665ffc9b7b2c894e18"}
+{"episode": 86572, "episode_seed": 349980844, "split": "train", "timestamp": "2025-10-13T03:08:29.055729", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 349980844, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [3.3, 8.9, 73.8])</answer>", "action": "('move', [3.3, 8.9, 73.8])", "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": "4fe336e9da3d28efa51b1e9087677238411cae2337987138e09f0b5fc89f2f57"}
+{"episode": 86573, "episode_seed": 2313460959, "split": "train", "timestamp": "2025-10-13T03:08:29.424990", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2313460959, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [286.5, 316.3, -15.2])</answer>", "action": "('move', [286.5, 316.3, -15.2])", "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": "f74da35ae6d6acc7fee37bb3ffc6656215cb37d2bef51ab876c5627e01ec2e8a"}
+{"episode": 86574, "episode_seed": 2052931027, "split": "train", "timestamp": "2025-10-13T03:08:30.187825", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2052931027, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 73.9])</answer>", "action": "('move', [10.1, 7.4, 73.9])", "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": "4baf3cc04302e4632f0c0660f5490d6ae4a969179093eda5a55c43dd34d8812b"}
+{"episode": 86575, "episode_seed": 2950978139, "split": "train", "timestamp": "2025-10-13T03:08:30.567592", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2950978139, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-61.9, 102.9, 86.2])</answer>", "action": "('move', [-61.9, 102.9, 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": "42a5fd080ce209ebfb3116bfda80586f9769468896837f2e760a1d9d2b537b3d"}
+{"episode": 86576, "episode_seed": 4095147964, "split": "train", "timestamp": "2025-10-13T03:08:31.055807", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4095147964, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [6.2, -8.1, -73.2])</answer>", "action": "('move', [6.2, -8.1, -73.2])", "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": "f77ba168e1443d30fa33bc2169d35ca1b70bb39151b3632991b6605732b846f2"}
+{"episode": 86577, "episode_seed": 374840372, "split": "train", "timestamp": "2025-10-13T03:08:31.399191", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 374840372, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-10.2, -54.4, -0.6])</answer>", "action": "('move', [-10.2, -54.4, -0.6])", "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": "40c2618b0fbee34ee5dad21be6d907188e7e1a0391cc4e6ca3f804b069a38bc8"}
+{"episode": 86578, "episode_seed": 1804804336, "split": "train", "timestamp": "2025-10-13T03:08:31.839549", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1804804336, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.7, -1.9, -19.9])</answer>", "action": "('move', [-1.7, -1.9, -19.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "b52e7b6a7cfe6acb13d473f346861e1bb72b395ab2d6a7f9d190a828dd2fac98"}
+{"episode": 86579, "episode_seed": 93502589, "split": "train", "timestamp": "2025-10-13T03:08:32.669433", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 93502589, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-0.9, 7.0, -45.6])</answer>", "action": "('move', [-0.9, 7.0, -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": "1f279602659083de3b19812c91662560107b4398424bf0416f070cda7ec4f257"}
+{"episode": 86580, "episode_seed": 3394307430, "split": "train", "timestamp": "2025-10-13T03:08:33.027235", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3394307430, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [4.1, 3.5, 22.5])</answer>", "action": "('move', [4.1, 3.5, 22.5])", "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": "efad555e67f26f7e09875d98d80563dca33732a493e778cec2e245796fe574e8"}
+{"episode": 86581, "episode_seed": 3933758793, "split": "train", "timestamp": "2025-10-13T03:08:33.419373", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3933758793, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, -2.0, 0.0])</answer>", "action": "('move', [-2.0, -2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -1.0, 0.0])</answer>", "action": "('move', [-1.0, -1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, -3.3, 72.8])</answer>", "action": "('move', [-1.0, -3.3, 72.8])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8261685d8e7dc94286585b4c7140856673701bab3d184d3276213e86fdbef951"}
+{"episode": 86582, "episode_seed": 2827789072, "split": "train", "timestamp": "2025-10-13T03:08:33.827714", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2827789072, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-15.5, 9.7, 46.9])</answer>", "action": "('move', [-15.5, 9.7, 46.9])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "feefa69ea4ea23450b6603bd8d65a8cae88e9123f91debb9068c1af69cf4e647"}
+{"episode": 86583, "episode_seed": 2874218691, "split": "train", "timestamp": "2025-10-13T03:08:34.258925", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2874218691, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 2.1, -64.5])</answer>", "action": "('move', [-1.0, 2.1, -64.5])", "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": "0746d3d664eb07f30707222456798c7194e5d1236ddc8edb6fdf2516040bc006"}
+{"episode": 86584, "episode_seed": 2769020861, "split": "train", "timestamp": "2025-10-13T03:08:35.027827", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2769020861, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-1.2, -0.3, -65.1])</answer>", "action": "('move', [-1.2, -0.3, -65.1])", "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": "85e949ea4c901df91967ad60b3eceeefb854c5bd689093c1db944f690c245aa6"}
+{"episode": 86585, "episode_seed": 2403419019, "split": "train", "timestamp": "2025-10-13T03:08:35.508210", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2403419019, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-9.4, -5.2, 37.1])</answer>", "action": "('move', [-9.4, -5.2, 37.1])", "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": "7763a98cc696fd5326619bf49a94e1eb4aca7a16ca02e18bb828a2cd545f020f"}
+{"episode": 86586, "episode_seed": 1404906529, "split": "train", "timestamp": "2025-10-13T03:08:35.885234", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1404906529, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-9.4, 41.8, -20.1])</answer>", "action": "('move', [-9.4, 41.8, -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": "4fbcf46a038bb45e58866279c1316ff5b2aee935a5d8269ac9a591a90f62214d"}
+{"episode": 86587, "episode_seed": 3730004779, "split": "train", "timestamp": "2025-10-13T03:08:36.276849", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3730004779, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-91.0, -15.3, 12.4])</answer>", "action": "('move', [-91.0, -15.3, 12.4])", "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": "a936306e9a711e721f96e5b92bb35a35d1641f77fbc959c62ff3d7f9e6ba3153"}
+{"episode": 86588, "episode_seed": 3618100427, "split": "train", "timestamp": "2025-10-13T03:08:36.654810", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3618100427, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [-2.0, 0.0, 0.0])</answer>", "action": "('move', [-2.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [-1.0, 0.0, 0.0])</answer>", "action": "('move', [-1.0, 0.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [-7.6, 2.3, -60.1])</answer>", "action": "('move', [-7.6, 2.3, -60.1])", "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": "85887de5c5338396d3e2b57dc5c49c57b71f1d93d125030f00ef781d415774cd"}
+{"episode": 86589, "episode_seed": 887480177, "split": "train", "timestamp": "2025-10-13T03:08:37.381279", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 887480177, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 9.0, -32.9])</answer>", "action": "('move', [3.0, 9.0, -32.9])", "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": "2635d412228978a5efdef12d982acbf7ac887fb50eefdc4f28025a6b5298c04a"}
+{"episode": 86590, "episode_seed": 1537670719, "split": "train", "timestamp": "2025-10-13T03:08:37.784682", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1537670719, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-18.1, -6.6, 4.6])</answer>", "action": "('move', [-18.1, -6.6, 4.6])", "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": "ea1830a46321352873626e01fe5f159321247cd9785f42fbe4936fe2af623970"}
+{"episode": 86591, "episode_seed": 1878741667, "split": "train", "timestamp": "2025-10-13T03:08:38.148899", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1878741667, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [0.4, 0.0, -57.2])</answer>", "action": "('move', [0.4, 0.0, -57.2])", "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": "1d0a1e31498e2099435eca23715de32f525981fb68759a919e62b36986cb34be"}
+{"episode": 86592, "episode_seed": 2596839110, "split": "train", "timestamp": "2025-10-13T03:08:38.524840", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2596839110, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [18.3, 18.1, -5.6])</answer>", "action": "('move', [18.3, 18.1, -5.6])", "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": "9237da4410b5e2fa841e8470105406eda17e257caeedc359c70e8fb6e9fd9422"}
+{"episode": 86593, "episode_seed": 3754929132, "split": "train", "timestamp": "2025-10-13T03:08:38.890193", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3754929132, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [87.3, 25.0, 30.7])</answer>", "action": "('move', [87.3, 25.0, 30.7])", "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": "86a4d21f8485724d5cc41c04253e16fad3cf23e13faf758f0f43d68d41eb5f9d"}
+{"episode": 86594, "episode_seed": 2619340652, "split": "train", "timestamp": "2025-10-13T03:08:39.685426", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2619340652, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the final result in <answer>\u2026</answer>.\nThis is step 1. You are allowed to take 9 more steps.", "vlm_output": "<think></think><answer>('move', [2.0, 2.0, 0.0])</answer>", "action": "('move', [2.0, 2.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 2. You are allowed to take 8 more steps.", "vlm_output": "<think></think><answer>('move', [1.0, 1.0, 0.0])</answer>", "action": "('move', [1.0, 1.0, 0.0])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 3. You are allowed to take 7 more steps.", "vlm_output": "<think></think><answer>('move', [12.4, 16.3, -49.9])</answer>", "action": "('move', [12.4, 16.3, -49.9])", "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": "6c65709be06431998fb0ea192ad02053e596e4e62717610612c97b127b2e0d70"}
+{"episode": 86595, "episode_seed": 99968706, "split": "train", "timestamp": "2025-10-13T03:08:40.192367", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 99968706, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [196.9, -95.4, -54.5])</answer>", "action": "('move', [196.9, -95.4, -54.5])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "855d797dbd22ed1bcdda061c24051415ed9d6a54d15cb91bb25974251b5f3465"}
+{"episode": 86596, "episode_seed": 3619293067, "split": "train", "timestamp": "2025-10-13T03:08:40.706250", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3619293067, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [104.7, 158.0, -11.9])</answer>", "action": "('move', [104.7, 158.0, -11.9])", "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": "e822f6964c0a22f10daefedc0d79957e1e50bc6f7f30f7ac4a16b2c9c81d1950"}
+{"episode": 86597, "episode_seed": 1251739203, "split": "train", "timestamp": "2025-10-13T03:08:41.202525", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1251739203, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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, 5.2, 46.3])</answer>", "action": "('move', [0.3, 5.2, 46.3])", "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": "bbbe09b326a3afafbc179dcb07a661e8e62e5f4844823c7fea70585eedb6faea"}
+{"episode": 86598, "episode_seed": 2246927935, "split": "train", "timestamp": "2025-10-13T03:08:41.601977", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2246927935, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-104.2, 41.9, -2.6])</answer>", "action": "('move', [-104.2, 41.9, -2.6])", "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": "d7e9ec7477074918da1aa5b585b680f199bad7749af599d7bb63e882beff8736"}
+{"episode": 86599, "episode_seed": 941283197, "split": "train", "timestamp": "2025-10-13T03:08:42.330149", "batch_dir": null, "init_args": {"env_repr": "<OrderEnforcing<MatchMoveStickRotationEnv<match_move/MatchRotation-v0>>>", "vlm_repr": "<gymnasium.vlm.groundtruth_interactor.MockVLM object at 0x79760c08cc90>", "max_steps": 10, "abs_size": 336, "master_seed": 907, "max_long_side": 336, "image_quality": null, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": "unit_first", "groundtruth_kwargs": {}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 941283197, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in <think>\u2026</think> and give the 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', [-94.2, 9.6, -25.7])</answer>", "action": "('move', [-94.2, 9.6, -25.7])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.\n\nThis is step 4. You are allowed to take 6 more steps.", "vlm_output": "<think></think><answer>('stop', 'stop')</answer>", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "<think></think>"}], "extra_state": null, "hash": "8060f395af356f768c0a4cf027e1f6c4929fec85ed723739ef52a24403719fe3"}