diff --git "a/train/batch_000067.jsonl" "b/train/batch_000067.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000067.jsonl" @@ -0,0 +1,100 @@ +{"episode": 6700, "episode_seed": 2626202886, "split": "train", "timestamp": "2025-09-15T22:45:42.902158", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2626202886, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "action": "('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "action": "('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "action": "('move', [-3.692364710198726, -0.9259688345211816, -57.958280829486945])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "201ccee63f2f8aa36a10ba25c45d3decf8da88328ecc9c438e6d44ef74362572"} +{"episode": 6701, "episode_seed": 2728938741, "split": "train", "timestamp": "2025-09-15T22:45:43.512825", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2728938741, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "action": "('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "action": "('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "action": "('move', [-1.8133218936039357, -1.1481738450873078, 24.44720125986579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "aa63bcbe3742071fd4f2dca847f340a6446c2bcc858ba9a7786f01abea588f85"} +{"episode": 6702, "episode_seed": 2110660341, "split": "train", "timestamp": "2025-09-15T22:45:44.466044", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2110660341, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "action": "('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "action": "('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "action": "('move', [23.71974486932629, -1.9528764881985765, 55.08619558135647])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "09256a6b114ea900469df83264af147d8d7448ab81942be9e8fa4960ff5a4fa4"} +{"episode": 6703, "episode_seed": 2139832461, "split": "train", "timestamp": "2025-09-15T22:45:45.079016", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2139832461, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "action": "('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "action": "('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "action": "('move', [-16.1771813678666, -5.550924477341154, 32.62037066012474])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "11b0ad5f2fe8e8b5c005d6a48a0532c199ea47417c2d6705cf0792161113cd93"} +{"episode": 6704, "episode_seed": 3003400176, "split": "train", "timestamp": "2025-09-15T22:45:45.687087", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3003400176, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "action": "('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "action": "('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "action": "('move', [-12.061574818609067, 0.9750859043942324, -6.940253148874793])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e2a187e73a12848969084a3762d1a5db67f09a527c0115c4397a380a7478a479"} +{"episode": 6705, "episode_seed": 2157660559, "split": "train", "timestamp": "2025-09-15T22:45:46.632732", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2157660559, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "action": "('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "action": "('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "action": "('move', [-33.540832310387586, -9.34276077130974, 44.16729582135537])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "cfd61d70995782d9b23b73124011e09108b445ddd9150f8499319385dcda9a46"} +{"episode": 6706, "episode_seed": 835668555, "split": "train", "timestamp": "2025-09-15T22:45:47.262955", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 835668555, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "action": "('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "action": "('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "action": "('move', [-178.87547834301594, 67.821528433497, -38.21890988903984])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "879787e44398b64e532e0e14c5ea9e0ff9e42a4800b101be13dc1da7a22cfbe2"} +{"episode": 6707, "episode_seed": 1859194657, "split": "train", "timestamp": "2025-09-15T22:45:47.879284", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1859194657, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "action": "('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "action": "('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "action": "('move', [0.7417001257317316, 8.769347858173587, 59.02912452754109])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6121e6992de356714a0dbe48073f61167305b7af2b48c318d73fd1df79551504"} +{"episode": 6708, "episode_seed": 3328400644, "split": "train", "timestamp": "2025-09-15T22:45:48.490910", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3328400644, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "action": "('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "action": "('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "action": "('move', [3.327093326072849, -4.632670019509793, 41.32504870705236])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f29704a84bb15095f486ca70c4212872e4c2953562759cf07404c5ebe59417e8"} +{"episode": 6709, "episode_seed": 380420415, "split": "train", "timestamp": "2025-09-15T22:45:49.485374", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 380420415, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "action": "('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "action": "('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "action": "('move', [4.657976059789533, -1.7833481373769293, -39.94893738431737])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "27efcf6df3ea62ec1a823049371596b80c5ac4e9dd6ec429e5d3706e955f5649"} +{"episode": 6710, "episode_seed": 3040379178, "split": "train", "timestamp": "2025-09-15T22:45:50.100122", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3040379178, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "action": "('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "action": "('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "action": "('move', [1.3804146658861793, 3.809039514025784, -56.03807088309559])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b5ea55e86b4467d1555571b20d00b56323f4c8894949149fee2ac8c56869c645"} +{"episode": 6711, "episode_seed": 1466259897, "split": "train", "timestamp": "2025-09-15T22:45:50.710453", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1466259897, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "action": "('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "action": "('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "action": "('move', [1.8214565366623878, 1.2109198573264952, 2.252655676725387])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "29352dda9e368109ce068cce7e6146fc0f1a8e96ad3120931880862592e90828"} +{"episode": 6712, "episode_seed": 1568006707, "split": "train", "timestamp": "2025-09-15T22:45:51.665047", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1568006707, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "action": "('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "action": "('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "action": "('move', [2.924709562129235, -3.384495321292422, -58.78117155519701])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "6dab9b5b729b2aea339f9f8f75eba288fa5bd33b55ca2cee96ce5eeb2070e309"} +{"episode": 6713, "episode_seed": 4236567824, "split": "train", "timestamp": "2025-09-15T22:45:52.280938", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4236567824, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "action": "('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "action": "('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "action": "('move', [35.224755415217594, 24.619081423794526, 37.73103908050795])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fcd05c116fa3f767301d27bf982ad9b257eefb28ec6f14fee12f970746f869d9"} +{"episode": 6714, "episode_seed": 4175126765, "split": "train", "timestamp": "2025-09-15T22:45:52.890731", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4175126765, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "action": "('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "action": "('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "action": "('move', [19.11962585143075, -30.678395349288095, -56.594256977218265])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7c8f005c5fcd7b4cb7703350d61d5c851d5e50889eba8fb32a18c34000b9fcd6"} +{"episode": 6715, "episode_seed": 591547378, "split": "train", "timestamp": "2025-09-15T22:45:53.504775", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 591547378, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "action": "('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "action": "('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "action": "('move', [-0.3305882964230888, -1.2423583286466682, -21.877445686682545])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c115724916ca7dcea90630bf4c644ba2a6e4bbcd7d897f1bfbd403d579105af8"} +{"episode": 6716, "episode_seed": 399296133, "split": "train", "timestamp": "2025-09-15T22:45:54.460453", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 399296133, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "action": "('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "action": "('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "action": "('move', [-19.37939910016489, -18.877386690799682, -59.9956394561878])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bf9a527698fb4b757dea75979703f26e542fcc79729303627959c581277efc52"} +{"episode": 6717, "episode_seed": 1228766014, "split": "train", "timestamp": "2025-09-15T22:45:55.074357", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1228766014, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "action": "('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "action": "('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "action": "('move', [-2.987786725326235, -1.0907191991296699, -44.17003108689482])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "13100ff1a5d083dc6c55c7edc4d92c5436bb40d44ac3a45bdfc8b221d18880be"} +{"episode": 6718, "episode_seed": 1777129700, "split": "train", "timestamp": "2025-09-15T22:45:55.685421", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1777129700, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "action": "('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "action": "('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "action": "('move', [1.8265056907459292, 3.32225723209168, 3.3264423613263716])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d22952435306dfed271737eeee8341b3b4adb584c17c67292db0b3d642788d8f"} +{"episode": 6719, "episode_seed": 2407112942, "split": "train", "timestamp": "2025-09-15T22:45:56.640990", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2407112942, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "action": "('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "action": "('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "action": "('move', [3.8399545515662084, 2.565536206599694, 51.54153295294077])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b08817c348f197012e7d60450a3c2af1e4f2e029c2227cce9ce79bbde23367fc"} +{"episode": 6720, "episode_seed": 262266837, "split": "train", "timestamp": "2025-09-15T22:45:57.257165", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 262266837, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "action": "('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "action": "('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "action": "('move', [-11.963527967782227, 4.611065352081621, -3.497851983377558])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a7d768d3caf3b329ddd419eec45e69c9cec6f4aeac06c5f34df009642bd96bdd"} +{"episode": 6721, "episode_seed": 28450198, "split": "train", "timestamp": "2025-09-15T22:45:57.866888", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 28450198, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "action": "('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "action": "('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "action": "('move', [10.349163567306007, -9.074012430392365, 37.95085722001678])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "21239c5d1ce8af0dbbd15802f0ebe8e269105f4e01b267d635ae79f2bb1d38dd"} +{"episode": 6722, "episode_seed": 1285376576, "split": "train", "timestamp": "2025-09-15T22:45:58.481738", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1285376576, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "action": "('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "action": "('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "action": "('move', [6.119203205439217, 10.859352025130358, -26.773309634325642])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "16eed07a3a9564ae212d12bfc08e3f01e55964e38954a53d6d054478238e4975"} +{"episode": 6723, "episode_seed": 3566950068, "split": "train", "timestamp": "2025-09-15T22:45:59.436378", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3566950068, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "action": "('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "action": "('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "action": "('move', [-12.723511335915305, 5.431801074285743, 29.283693530315816])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "50a2e24255e5f16c469d1da7cc578f715ec74ea5ac4f64ec1bc21a37841797c4"} +{"episode": 6724, "episode_seed": 4277969782, "split": "train", "timestamp": "2025-09-15T22:46:00.052324", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4277969782, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "action": "('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "action": "('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "action": "('move', [-6.623294797934946, 0.9875920749873955, -14.193367879411852])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2b2395d619022bcc064eed64e35d73ede1bf7f4c7c13c6652e721dab5b0f342e"} +{"episode": 6725, "episode_seed": 3156079925, "split": "train", "timestamp": "2025-09-15T22:46:00.662145", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3156079925, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "action": "('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "action": "('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "action": "('move', [2.72683636692951, -1.8254088704227318, 29.128183032870805])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "092b43381c42813e6145e4953d97f840901802d5a1b30355d9c2bcd95f3a928f"} +{"episode": 6726, "episode_seed": 3957163110, "split": "train", "timestamp": "2025-09-15T22:46:01.275648", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3957163110, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "action": "('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "action": "('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "action": "('move', [-2.430882712483191, 1.4197146183135292, -30.335694533689303])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "bb3ebcc7b471c24ebdb13d07a785d63cb05ccfc12a38054ecbdd5ddaeca3d903"} +{"episode": 6727, "episode_seed": 260291016, "split": "train", "timestamp": "2025-09-15T22:46:02.235099", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 260291016, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "action": "('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "action": "('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "action": "('move', [-94.6843790901719, -51.711838738707, -37.07489108449579])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fb1ba7fdd9b8c40446867e709172cbd4c4bd8ab0a556ca9b4b46e9221c0227b8"} +{"episode": 6728, "episode_seed": 1943782192, "split": "train", "timestamp": "2025-09-15T22:46:02.847144", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1943782192, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "action": "('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "action": "('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "action": "('move', [1.578606828888809, -1.379771469584222, -46.57402358046439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9975246129573992e9be35df4113cc2001a0d73e1d304220ad4b09d9673238b3"} +{"episode": 6729, "episode_seed": 682202106, "split": "train", "timestamp": "2025-09-15T22:46:03.461147", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 682202106, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "action": "('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "action": "('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "action": "('move', [-2.7227265867072, -1.1612500527482237, 37.28422596124028])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b2b831a6a014e5ad154abe65b63339207d0436f7cb9f7c61ba526df1169a5d51"} +{"episode": 6730, "episode_seed": 3948255239, "split": "train", "timestamp": "2025-09-15T22:46:04.413963", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3948255239, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "action": "('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "action": "('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "action": "('move', [-0.536243599022038, 0.6498928931754372, 29.8240019859129])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "75695f7b5f8783215b257f50506b734b6269830c0f107a1da05ba1ebfc4fc7a1"} +{"episode": 6731, "episode_seed": 1595264397, "split": "train", "timestamp": "2025-09-15T22:46:05.028813", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1595264397, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "action": "('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "action": "('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "action": "('move', [8.683163588762069, -8.436181001333429, 59.71465226707581])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1d3d32a41b72d2bd546cfb7bcc75fcf0a64749eb3735ce88bdc62115f9e745c8"} +{"episode": 6732, "episode_seed": 1251507004, "split": "train", "timestamp": "2025-09-15T22:46:05.637926", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1251507004, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "action": "('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "action": "('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "action": "('move', [-5.198921180452943, 1.0588530614252532, -55.791369497500604])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "741c045e7ed9c109d74c726fa938cdeb362f53d0c66db56589990d47e963680b"} +{"episode": 6733, "episode_seed": 3379048715, "split": "train", "timestamp": "2025-09-15T22:46:06.248481", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3379048715, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "action": "('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "action": "('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "action": "('move', [7.013981542720518, 0.04225032979105348, -10.335170875897992])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "7807d2765d7fb54570834f3e76d42dfcbe56fb13bd17c52e463e1af4dc6ee7a1"} +{"episode": 6734, "episode_seed": 2406988173, "split": "train", "timestamp": "2025-09-15T22:46:07.205679", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2406988173, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "action": "('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "action": "('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "action": "('move', [0.3824646374817069, -5.303556544975352, -30.898161550901747])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a8598816cdff0439feed7211cdccee2c06d98be1ed3dfe9f2939b14b16d47cb0"} +{"episode": 6735, "episode_seed": 564686644, "split": "train", "timestamp": "2025-09-15T22:46:07.824210", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 564686644, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "action": "('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "action": "('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "action": "('move', [3.1758221474967576, 1.5028133132497425, 7.793196539344422])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "21c9e71e5e3e9a8ac1a0cee1a834286ae45c62ae02fefed3806ae9c277ad6581"} +{"episode": 6736, "episode_seed": 1972109939, "split": "train", "timestamp": "2025-09-15T22:46:08.439288", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1972109939, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "action": "('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "action": "('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "action": "('move', [-0.7175530855886051, 0.04752133160844076, -27.604246994667175])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d7ef5425d3bab3af2764707eb5c3298c2f21bf40332eec7726ea376a1428513b"} +{"episode": 6737, "episode_seed": 1860233894, "split": "train", "timestamp": "2025-09-15T22:46:09.410104", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1860233894, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "action": "('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "action": "('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "action": "('move', [1.8147517486275646, -1.8303149516794168, 13.478942037870715])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "31fa81c8be549a92247d3232dcc7960c1b05c23333c52a93a7d1afbcdc6fa793"} +{"episode": 6738, "episode_seed": 78192250, "split": "train", "timestamp": "2025-09-15T22:46:10.024701", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 78192250, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "action": "('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "action": "('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "action": "('move', [2.6391108562708525, 1.8716913457710624, 27.310066332105333])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9e86bdc05998d091b633ccc2954fb1ec6c0e6ab7a3794b8384ea178438013804"} +{"episode": 6739, "episode_seed": 1607134785, "split": "train", "timestamp": "2025-09-15T22:46:10.635927", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1607134785, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "action": "('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "action": "('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "action": "('move', [-5.320982972398158, -0.6847607354883202, 42.97033133093038])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e794e9e13a982983f974d243fbecfd4331b0b571a825acb7bffa5b0d7e28423b"} +{"episode": 6740, "episode_seed": 4074799813, "split": "train", "timestamp": "2025-09-15T22:46:11.250884", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4074799813, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "action": "('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "action": "('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "action": "('move', [-0.13187561031888498, -0.611465127424597, -30.89458973332334])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f392888e298cf9ca241c8bd7d6687b57c795a6aa7edf8303e60742df967eedaa"} +{"episode": 6741, "episode_seed": 2050066356, "split": "train", "timestamp": "2025-09-15T22:46:12.208043", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2050066356, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "action": "('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "action": "('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "action": "('move', [-1.0939111321438786, -5.300266737854977, -7.9780827863396935])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ae1d42a96c0282b374e34f90f0edfa4e5069fdb310120c5857cd30e3127064f8"} +{"episode": 6742, "episode_seed": 1334865594, "split": "train", "timestamp": "2025-09-15T22:46:12.822159", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1334865594, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "action": "('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "action": "('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "action": "('move', [19.577666701250255, 9.666502394312449, 7.7000469838291865])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "da07f712d2581552881606caba041a2241cdaf620781306c001b7d4492e99430"} +{"episode": 6743, "episode_seed": 842695126, "split": "train", "timestamp": "2025-09-15T22:46:13.434623", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 842695126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "action": "('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "action": "('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "action": "('move', [-1.2718451336552583, 2.9082138426997575, -8.240943429665606])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "46471752a7a051607ed316a3f37c791f3bf26e6b7bbe96b65e6212709b681700"} +{"episode": 6744, "episode_seed": 3614642933, "split": "train", "timestamp": "2025-09-15T22:46:14.389261", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3614642933, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "action": "('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "action": "('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "action": "('move', [41.76134296709555, -0.9796063787984809, -49.61270298082216])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "329ec1123c1ebfb9b04b3297ab8a061356b8bea0a0be9e096d389832b4d29861"} +{"episode": 6745, "episode_seed": 1311408898, "split": "train", "timestamp": "2025-09-15T22:46:15.003683", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1311408898, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "action": "('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "action": "('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "action": "('move', [3.7859976492536576, 0.8413824224671237, -59.88609204337081])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "dcd67bfcbc12643bf2e4551c1a2895ef9a4244471da857d692827c2287e2c846"} +{"episode": 6746, "episode_seed": 96195871, "split": "train", "timestamp": "2025-09-15T22:46:15.614640", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 96195871, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "action": "('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "action": "('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "action": "('move', [0.4566292008983217, -0.6017294465739002, -47.34584163434772])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "383ce0dcc87e94d04eb3a71feb86133aa6e744d320a3a3705dab51fc051f2ff7"} +{"episode": 6747, "episode_seed": 3631976716, "split": "train", "timestamp": "2025-09-15T22:46:16.228562", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3631976716, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "action": "('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "action": "('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "action": "('move', [-50.95809185319843, -11.792440718804604, -26.373199141053608])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "225897cc1e8dd00584334ecf46d599952e5862f4498953d6b5efbc67d67c371b"} +{"episode": 6748, "episode_seed": 2495452333, "split": "train", "timestamp": "2025-09-15T22:46:17.185429", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2495452333, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "action": "('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "action": "('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "action": "('move', [-30.007930512387176, -10.77184695268456, -59.418088995658685])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5279e7b64b10f353cda39205b1e8a9eadc3394add2d25441851a63f1fd6acb41"} +{"episode": 6749, "episode_seed": 3623221141, "split": "train", "timestamp": "2025-09-15T22:46:17.798981", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3623221141, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "action": "('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "action": "('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "action": "('move', [3.2030078978701155, -2.042938619539664, 11.265875364456036])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b16e67fe08155e193bcd8b148b7fc8532043190839b7e058217448b8357d445b"} +{"episode": 6750, "episode_seed": 2594869405, "split": "train", "timestamp": "2025-09-15T22:46:18.414130", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2594869405, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "action": "('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "action": "('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "action": "('move', [-173.68079264669018, -15.896644868238466, 59.57119457261191])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "3b9967cc81f15d9828f3e9cb4f331c9d68152ef2e1b212e0c71715d95284fadd"} +{"episode": 6751, "episode_seed": 3429949225, "split": "train", "timestamp": "2025-09-15T22:46:19.370563", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3429949225, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "action": "('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "action": "('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "action": "('move', [2.267434411564796, 12.052022802341215, 30.588998810702986])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1f68c6f6c28eff3defa2bb7d981c6a293fd25f7736fdca8ddc6e0af80c2ecc35"} +{"episode": 6752, "episode_seed": 3643141116, "split": "train", "timestamp": "2025-09-15T22:46:19.986490", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3643141116, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "action": "('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "action": "('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "action": "('move', [4.840827357598605, 2.0235817511516214, 58.31000401737515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0ae6b407f36ec3fad10ce1c0da6e9bb77bc10e62673f7e85644e857dc3ac553f"} +{"episode": 6753, "episode_seed": 4025255395, "split": "train", "timestamp": "2025-09-15T22:46:20.600611", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4025255395, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "action": "('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "action": "('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "action": "('move', [5.116893456617429, 13.763239566143008, 56.863550459869394])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f071fca77f6b205f777156e577af4a0456ed6a731e8cb11433bb220d153523b4"} +{"episode": 6754, "episode_seed": 1352332815, "split": "train", "timestamp": "2025-09-15T22:46:21.214842", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1352332815, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "action": "('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "action": "('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "action": "('move', [0.08640667942058788, -3.803445021509648, -52.862459183345926])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "9608b968c878d3d66dec5f48bd706e974fcb99ef82bd7e0b27399f3f13ff82ff"} +{"episode": 6755, "episode_seed": 932516102, "split": "train", "timestamp": "2025-09-15T22:46:22.178584", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 932516102, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "action": "('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "action": "('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "action": "('move', [3.3766784077352625, 6.3553117195226285, -58.698638458383506])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "42a3864b9e036196c067e603110e1f57b751f4ac98a3af725b43062f77672d63"} +{"episode": 6756, "episode_seed": 4053317636, "split": "train", "timestamp": "2025-09-15T22:46:22.792256", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4053317636, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "action": "('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "action": "('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "action": "('move', [6.338861830067407, 23.311134519500715, -4.8256398664781655])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f4c33b4008ece0a0a76ef10611291151bc642a41471199e27fcf9721033a0158"} +{"episode": 6757, "episode_seed": 3289234568, "split": "train", "timestamp": "2025-09-15T22:46:23.408451", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3289234568, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "action": "('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "action": "('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "action": "('move', [-3.1458826327657903, 0.37644086243607394, 32.239903453070234])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ad11c69527db01e7b9b3c6f31dd9a33edec9f67c1c28315213f5df08561ecc5c"} +{"episode": 6758, "episode_seed": 3182249839, "split": "train", "timestamp": "2025-09-15T22:46:24.366838", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3182249839, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "action": "('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "action": "('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "action": "('move', [93.0483475434629, -6.182432765473632, 13.869237060830509])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d349dd03123c21d60a6f22d2189efede0ca3e25602d054bb5dfc2cdb5f0e3a03"} +{"episode": 6759, "episode_seed": 3843513688, "split": "train", "timestamp": "2025-09-15T22:46:24.983038", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3843513688, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "action": "('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "action": "('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "action": "('move', [2.196208056134181, -4.206044448459596, -51.62230055071324])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5a55527a25b02bd78da1c29f7925f4bc7d3264d1edc3405bf311ceb71c8da20d"} +{"episode": 6760, "episode_seed": 3875012880, "split": "train", "timestamp": "2025-09-15T22:46:25.596906", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3875012880, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "action": "('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "action": "('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "action": "('move', [17.031615801792093, 15.495488531391851, 1.7941590551604445])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d93944d895430d11a3577d443a8f37773a1c07d90dd573af356e53d80ef79ef9"} +{"episode": 6761, "episode_seed": 1576874888, "split": "train", "timestamp": "2025-09-15T22:46:26.210104", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1576874888, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "action": "('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "action": "('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "action": "('move', [-97.13923335756031, 12.049714100125946, 43.1606398942439])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "59264726df3096aed3e2847d31a3c26e10cee6d55dae974b634794326b6cf055"} +{"episode": 6762, "episode_seed": 3722693979, "split": "train", "timestamp": "2025-09-15T22:46:27.169659", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3722693979, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "action": "('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "action": "('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "action": "('move', [0.19251893695555536, -1.9166300307160062, -49.53518144567818])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "895c4ea3b6c107af58c5246cce3aa4347b19f712586effa314ac1af75862bca9"} +{"episode": 6763, "episode_seed": 2620992764, "split": "train", "timestamp": "2025-09-15T22:46:27.792851", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2620992764, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "action": "('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "action": "('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "action": "('move', [-2.376698722871175, 0.01130503626986741, -2.0382061864702528])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f0ac7fe85435bf4f6cb74584fc27e0e3242565a022f99d06fa77546f7c10762c"} +{"episode": 6764, "episode_seed": 3869546618, "split": "train", "timestamp": "2025-09-15T22:46:28.411153", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3869546618, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "action": "('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "action": "('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "action": "('move', [-2.3996380912873616, 1.9830781975556315, 16.894709306596344])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "444b520a5376359dccb1d9f94ab6cdce11a73916ca83bf7767c08877e204bbaf"} +{"episode": 6765, "episode_seed": 2107132844, "split": "train", "timestamp": "2025-09-15T22:46:29.408244", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2107132844, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "action": "('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "action": "('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "action": "('move', [1.0629812206619265, -1.3051960559080777, 1.1126279417063738])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d60595b72da39bc28b9f0954e364179f8c6f5afbef96830e20c76247c4764b8d"} +{"episode": 6766, "episode_seed": 3107559819, "split": "train", "timestamp": "2025-09-15T22:46:30.023692", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3107559819, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "action": "('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "action": "('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "action": "('move', [0.5143583714364544, 2.258557999463173, 28.1248967414341])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "abc8734fd042495350e231eba6c1fbedea5dbfd450416ee48cd83bba90ebe906"} +{"episode": 6767, "episode_seed": 2477737740, "split": "train", "timestamp": "2025-09-15T22:46:30.635505", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2477737740, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "action": "('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "action": "('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "action": "('move', [2.8883910527444416, -4.976201142370335, 32.19508715703034])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "0877f5ff1dc9d90761615c2977bc265ce43e587ac4aa3abbefbda93f2beba526"} +{"episode": 6768, "episode_seed": 2263858600, "split": "train", "timestamp": "2025-09-15T22:46:31.249328", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2263858600, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "action": "('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "action": "('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "action": "('move', [-1.1584250391155895, -0.27008231711405134, 15.480979551179246])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b09c82345c837255f567971a65376ff98ea46ce2c04c50fdc8df0cb2793f7f0c"} +{"episode": 6769, "episode_seed": 4223263140, "split": "train", "timestamp": "2025-09-15T22:46:32.209321", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4223263140, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "action": "('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "action": "('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "action": "('move', [-8.967971889683534, 4.03525193700215, -14.255687082366515])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "00edb646c15d26c9eeacc18eb90cd1bc5163453fec693273b0179725c9f70dc8"} +{"episode": 6770, "episode_seed": 3286132596, "split": "train", "timestamp": "2025-09-15T22:46:32.825100", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3286132596, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "action": "('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "action": "('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "action": "('move', [-0.015497273291335614, 1.3947800920378246, 24.162560850610664])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "66043285b9e3201e945ba9d1aceff2614b1e6b7f80765618ecc47c883659048c"} +{"episode": 6771, "episode_seed": 2038798345, "split": "train", "timestamp": "2025-09-15T22:46:33.441654", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2038798345, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "action": "('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "action": "('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "action": "('move', [0.3766063996837612, 7.693727768697065, -35.52470320677122])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1721d45ebbe0e1502e2bef9a1f0917878561f54b26329599ace111d43857aaef"} +{"episode": 6772, "episode_seed": 949411538, "split": "train", "timestamp": "2025-09-15T22:46:34.052969", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 949411538, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "action": "('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "action": "('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "action": "('move', [-0.21930033048028205, 3.6600557324298646, -25.55683122457276])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "090a1c5de99348d9238c9e78a954d94cd62fb06e97de893a80f7a041d9d378dc"} +{"episode": 6773, "episode_seed": 2408918188, "split": "train", "timestamp": "2025-09-15T22:46:35.010175", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2408918188, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "action": "('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "action": "('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "action": "('move', [43.323440089075014, -50.442584740185424, -53.92832500118353])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "030280a260d639c8026bb64bb00f25fbf5b664a1fa54315793fbc0bf7e8e8fa0"} +{"episode": 6774, "episode_seed": 3215046577, "split": "train", "timestamp": "2025-09-15T22:46:35.619062", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3215046577, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "action": "('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "action": "('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "action": "('move', [-7.78870977337591, 7.269353365676437, 10.564546530952592])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d1591bb1fe638bca09086f993ede7d0b5e16418b096e7465813319893554bfec"} +{"episode": 6775, "episode_seed": 4282820423, "split": "train", "timestamp": "2025-09-15T22:46:36.234167", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4282820423, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "action": "('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "action": "('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "action": "('move', [-23.195820384330787, 16.619891934794552, 45.25161320089281])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "2d07759bbdc7fbf41f799e7b4c6db2c829ee19254e823b01bf728a5ae4dec745"} +{"episode": 6776, "episode_seed": 3302148249, "split": "train", "timestamp": "2025-09-15T22:46:37.191709", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3302148249, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "action": "('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "action": "('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "action": "('move', [-10.522394108975524, 3.1852141992745064, -59.25897157692304])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ea8ab2e499496f71492e2a18cc16d93f3ad55cc5153d669871ebe7fd7046b671"} +{"episode": 6777, "episode_seed": 549792119, "split": "train", "timestamp": "2025-09-15T22:46:37.803481", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 549792119, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "action": "('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "action": "('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "action": "('move', [-5.4688487367600525, -2.256402033003648, 57.314611920587446])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "540907102a12cc94efc0686348eb0306d45c800120035d5ce4b9df2689c855f0"} +{"episode": 6778, "episode_seed": 1625743787, "split": "train", "timestamp": "2025-09-15T22:46:38.418858", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1625743787, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "action": "('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "action": "('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "action": "('move', [4.769251210970817, -4.405164614971437, 15.196405298520887])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "ced575d017cd22722ef80accf1356113f0cf3ac4cbc4149de5078a83a5fa7984"} +{"episode": 6779, "episode_seed": 1715685784, "split": "train", "timestamp": "2025-09-15T22:46:39.030968", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1715685784, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "action": "('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "action": "('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "action": "('move', [26.729491994955364, -3.42196556162529, 34.59843880621671])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f8f8074542717aed0d693fd611ec69d280f1eac70f9e1b003a0816abe2e48d27"} +{"episode": 6780, "episode_seed": 1569762063, "split": "train", "timestamp": "2025-09-15T22:46:39.989767", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1569762063, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "action": "('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "action": "('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "action": "('move', [0.7000567209557005, 0.2897532609149723, 41.35729132513668])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d3a9c106b564cc7674f6fda178e4c2021a3905f909884f43d8ad2eba3dc67eea"} +{"episode": 6781, "episode_seed": 2776633385, "split": "train", "timestamp": "2025-09-15T22:46:40.602717", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2776633385, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "action": "('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "action": "('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "action": "('move', [-0.7975572654515846, -0.16861304662108015, 12.851800556646443])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "420dca116b3c880ecd34322698675d5d77efab0dab7942e263833482fa33c13f"} +{"episode": 6782, "episode_seed": 3492933502, "split": "train", "timestamp": "2025-09-15T22:46:41.216421", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3492933502, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "action": "('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "action": "('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "action": "('move', [-26.863601454439223, 70.25785054028088, -51.41773792526328])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "407e84bc49b7f98689964da483997e2f6608458b807e6ec5716e5dab8bdf1686"} +{"episode": 6783, "episode_seed": 71467904, "split": "train", "timestamp": "2025-09-15T22:46:42.179380", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 71467904, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "action": "('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "action": "('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "action": "('move', [-2.7521972920653224, 1.885103778924374, -42.9530542969963])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "5004e1b2b4a8517de75b720517b6aa2b6447fbe4f439d39755fcd9e942ad3582"} +{"episode": 6784, "episode_seed": 598022673, "split": "train", "timestamp": "2025-09-15T22:46:42.791727", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 598022673, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "action": "('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "action": "('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "action": "('move', [-4.721404988715887, 4.004358840603627, -31.178407998567774])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "1c1e95041b40ccfe76e5501f587af4c16e6d301890cb80fcea0039a90c1680fb"} +{"episode": 6785, "episode_seed": 3296508068, "split": "train", "timestamp": "2025-09-15T22:46:43.403930", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3296508068, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "action": "('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "action": "('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "action": "('move', [-0.9942571198487303, -0.6247598738847999, 23.21987048095688])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "b2b587837a5a0cc9715953cc1c9590e449a3d7cf29dd717c1aaf918f78d75ed2"} +{"episode": 6786, "episode_seed": 2702987174, "split": "train", "timestamp": "2025-09-15T22:46:44.018274", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2702987174, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "action": "('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "action": "('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "action": "('move', [-5.00041687258749, 12.149019527244368, -41.74135720136311])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4d22881921582becdfe2e24fc5f8992461d65db34cd0df6f43b5a21c8d481369"} +{"episode": 6787, "episode_seed": 232735345, "split": "train", "timestamp": "2025-09-15T22:46:44.982359", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 232735345, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "action": "('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "action": "('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "action": "('move', [90.62597574414383, 47.36226117057126, 22.501783862455273])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "236b7e5b460f4e226a603339f973fcad2e617f0e3b3fd11c01d167015adb48bd"} +{"episode": 6788, "episode_seed": 3962750030, "split": "train", "timestamp": "2025-09-15T22:46:45.592225", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3962750030, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "action": "('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "action": "('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "action": "('move', [0.5554769723783198, 1.3392049107352901, -6.347375522629837])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c511d580d14cb9b61b43d604ba3bef478dcda0ec2fcaee729680323365b5523f"} +{"episode": 6789, "episode_seed": 1079266140, "split": "train", "timestamp": "2025-09-15T22:46:46.204168", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1079266140, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "action": "('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "action": "('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "action": "('move', [22.65826111070778, -3.8343645971989972, 40.17018266782903])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c35f6009d65c5a3b780c86356e60dedf9901818153ac2e73e4aa3ed53cb17caa"} +{"episode": 6790, "episode_seed": 1237874168, "split": "train", "timestamp": "2025-09-15T22:46:47.165028", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1237874168, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "action": "('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "action": "('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "action": "('move', [5.035141618116392, -11.084011365204134, 24.106912907682773])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "e6353984e17520d21783e8c2a7bacaec87d9fb802895fdc15a09364cf87de0d4"} +{"episode": 6791, "episode_seed": 2392979718, "split": "train", "timestamp": "2025-09-15T22:46:47.776324", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 2392979718, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "action": "('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "action": "('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "action": "('move', [-3.2830763635156597, 2.9431444165246763, -43.31177224718521])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "4d17c45714ac47ac1885323a9826435eef8a6bdf135877826def4c4cf58eb565"} +{"episode": 6792, "episode_seed": 4243158629, "split": "train", "timestamp": "2025-09-15T22:46:48.398450", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4243158629, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "action": "('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "action": "('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "action": "('move', [-1.6676715633917156, 0.9099298260586167, -16.60232048381955])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "d10f39ec51babbb6f45c7c9caaca884f79267272bae4f34cacafaa809a1eedd2"} +{"episode": 6793, "episode_seed": 1602878157, "split": "train", "timestamp": "2025-09-15T22:46:49.018372", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1602878157, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "action": "('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "action": "('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "action": "('move', [-4.333341264173355, -25.326927551803283, -29.353632171079653])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "899fc9885e938dd80e7f0f0421af449a611d533dc0a08acd8921387fd4828dd4"} +{"episode": 6794, "episode_seed": 398813529, "split": "train", "timestamp": "2025-09-15T22:46:49.996014", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 398813529, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "action": "('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "action": "('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "action": "('move', [-140.80159730268542, 216.92604933741885, -46.678911786371906])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "74f62ad34f62c3b360f78fdbc4d48285f72a24178dd78dbd341bc416aa12cde0"} +{"episode": 6795, "episode_seed": 1917157485, "split": "train", "timestamp": "2025-09-15T22:46:50.612373", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 1917157485, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "action": "('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "action": "('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "action": "('move', [0.24897768312393254, -1.3691044960925722, 54.56117627264454])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "c34e6a3e501c6b011285f0bcf860d50fbb37f21987b00b3c966571ae4ac2900f"} +{"episode": 6796, "episode_seed": 3091159591, "split": "train", "timestamp": "2025-09-15T22:46:51.226971", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3091159591, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "action": "('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "action": "('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "action": "('move', [-61.567327183118486, -71.27441927873188, 46.99986681316966])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "a758edf55d8683015f028eee4a7d6ccc78f7097b250afa5f6893351d5f924c25"} +{"episode": 6797, "episode_seed": 237762653, "split": "train", "timestamp": "2025-09-15T22:46:52.191900", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 237762653, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "action": "('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "action": "('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "action": "('move', [0.8650315055832589, 2.057684245596462, -18.717263976566628])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "24ab08ef17eb51097a375f4519442a5bd6f3fec65e9ad43f3735bac6a3ede452"} +{"episode": 6798, "episode_seed": 4068536230, "split": "train", "timestamp": "2025-09-15T22:46:52.804330", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 4068536230, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "action": "('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "action": "('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "action": "('move', [-6.6119920133000845, 8.399498871475014, -2.2610106069123597])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "f9dafae9b4c86738cc221f07a5f34991625c42bf02cde228a1a98d74883da715"} +{"episode": 6799, "episode_seed": 3812937722, "split": "train", "timestamp": "2025-09-15T22:46:53.419260", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 109, "max_long_side": 336, "interactor_type": "GroundtruthInteractor", "groundtruth_strategy": null, "groundtruth_kwargs": {"num_steps": 3}, "enable_reasoning": true, "reasoner_class": null}, "run_args": {"render": false, "seed": 3812937722, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 45])`\n- Move diagonally and rotate: `('move', [1.5, -0.8, 90])`\n- Finalize the stick position: `('stop', 'stop')`\n\nVerbalize your reasoning in \u2026 and give the final result in \u2026.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "action": "('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 1, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "action": "('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 2, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "action": "('move', [-14.204183110939395, 2.093815022215517, -7.57958649671546])", "reward": 0.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}, {"step": 3, "prompt": "Environment feedback: Action executed successfully.", "vlm_output": "Based on the current state, I need to take the optimal action to solve this task.('stop', 'stop')", "action": "('stop', 'stop')", "reward": 1.0, "image": 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"info": {"env_feedback": "Action executed successfully."}, "think": "Based on the current state, I need to take the optimal action to solve this task."}], "extra_state": null, "hash": "fa689394786e8f290bfd222c303578170ac6e5dec217dc293b092ddcaa3f330f"}