diff --git "a/train/batch_000321.jsonl" "b/train/batch_000321.jsonl" new file mode 100644--- /dev/null +++ "b/train/batch_000321.jsonl" @@ -0,0 +1,100 @@ +{"episode": 32100, "episode_seed": 452721581, "split": "train", "timestamp": "2025-09-15T23:16:57.050413", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 452721581, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "action": "('move', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "action": "('move', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "action": "('move', [17.784661153455374, 64.50127140769546, 24.589971273381497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "520ba3b12e34acfd24e5c7152f96cf1dc9cb4845588858e3acfdce9d01c75dd9"} +{"episode": 32101, "episode_seed": 1964769678, "split": "train", "timestamp": "2025-09-15T23:16:57.655174", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1964769678, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "action": "('move', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "action": "('move', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "action": "('move', [-2.3403630735812264, 35.01979245542433, 41.38619158511445])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHrUlEQVR4nO3d4W4c1QGG4W92bSOQqjQJAQUpgaIGF7WOTeAiuCjug6uCgFNKIIg2iQKJapKoEirg7E5/7IaIyFX/1N0y3/P82l3J0pF2X8+cM7tnhnEcA3SYbXoAwP+O4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHI1qYHwOaN4/rBMGx0HJw+waPzIoInDx/m8eN8/nmSvP9+5vNND4hTI/hqi0Xm83zwQT78MEmuXct77+XVV7NcZmZ5Z4q8q+Ts2cxmmc/z4P54926SLMf/9Df8Ogm+2uowfu1aZkOWy9y/v7x3d5kky82Oi9MieLK/n63tzGZZLGe378ySDD4XE+WNrbZan3/zzZz5zWKxSDLc/CLjmPn82bU6pkTwZDbL1b314y+/zKNHGx0Np0nwJMn+u+trcZ/9efHw4Zg4wk+T4Nutwj7YT5Lt7dx/kIcPNzsiTpHgSZKDgyTjMCTD/NatIb5+N1GCJ0leeWU8/9vF8ZNkzOFhIviJEjxJ8tJLw97+fFwmyeFhfvhh0wPidAi+3epI/uKL+dPe+kz++vX89FNi3W6KBE/GMbNZ9vaSZHs7Dx7k6GjTY+J0CJ4sl0ly5UqScRwzDPn00w0PiVMieNZn9a9cGF8+Px4fZxzzyScbHhKnRPCsXbgw7P5h/Xm4/tFis4PhlAie9RH+7LnVWX2S3Di0YjdNgifDkCdPsr2dK78fV0+PHs/v3XMpfoIET/L0Ctwbl5ern8I/OV6v2y39MH5aBE/ydCeMy7+bv/zybBzz4485PPQTmgkSPMnTafwbb+Ty5SQZx/Hw4ycR/OQIniQZhoxjLl7Ma6+tX7j19dZyaRo/NYInSYYhx8eZz/P66+tXHj0evvkm87lp/KQInrXVwXx3dz2f/3mnesFPieBZW3W+u5szZ5Lk8eN88UViGj8tgmdtdYR/++2cPZsky+V486aF+qkRPGvDkMUily7l3LlV4sOdO8Nika0tzU+H4FkbhvV0/c3XF8mY5N69fPttZjPBT4fgeWY1jd+/tjUMQ5K7d3LndmLdbkIEzzOrafzeXnZ2kiHffbe4/bdFTOMnRPA8swr+4CA7O5kNWY7zv96ex4aWEyJ4nlmFfelSzp5ZrE7jb92KdbspETy/sAp7/+r66Vdf2d9uUgTPCQ6e3nnq5ueLo6Mx1u2mQvCc4OAgSba3c/Td7OjvZvDTIXhOsL//88Phy1vJ0yt2/Np5GznBhQu5eDGLRZIc3shq72omQPD8wirsF17I/v563v7ZjfH77xNX4ydB8JxgZ2d9I5rZLJ98vPjhn1qfCMHzvNUJ/NWrSbK1lUf/mN9/4IR+IgTP81an7m9dGZPFOGYYhhs3Et+3mwTBc7Lz53Px1bjz1MQInuc9vRHN8PYf11+/uf7Rk00OiP8ewXOyM2eyu5thyGyWv3w2WKKfBsHzvNXWN/N53nor45jlMvfuz+1vNw1bmx4A/792d7O3l3ffzTvv5Ny5xLrdr98w+qfNv7Fc5vg4Ozs6nw7BQxFzeCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyL8cbQy7jcd3mAAAAAElFTkSuQmCC", "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": "65db5e569417f06926f1f4bf43a173087c460af42d024b12f055758656f68f7f"} +{"episode": 32102, "episode_seed": 3049906488, "split": "train", "timestamp": "2025-09-15T23:16:58.601845", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3049906488, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "action": "('move', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "action": "('move', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "action": "('move', [-4.078375199501772, -2.0206315733843105, -50.53400935610777])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "b5bfe4be30b505144880dbfc3c6e88bac7cf91744000a6a1c926bcd77e1f2112"} +{"episode": 32103, "episode_seed": 1905732399, "split": "train", "timestamp": "2025-09-15T23:16:59.207099", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1905732399, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "action": "('move', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "action": "('move', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "action": "('move', [1.4594938611049286, -2.8626043887484243, -7.9768864833059085])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "69ed028466a18061f2aa930be991d8d1d48f66cde5380b0c3b3b23fe3e7e19f2"} +{"episode": 32104, "episode_seed": 2417655694, "split": "train", "timestamp": "2025-09-15T23:16:59.811506", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2417655694, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "action": "('move', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ/0lEQVR4nO3dTaucZx3H8d/MnBNrYmLSNGkxFUFI60pLFXwCaTVdCX0D7tx0LbjwFbgRX4CgW1cuFPFpYVsUsaAFaxVEEYJpE9ukseHYPJ0zc7u4h0Rt3U064/w+n9XkrP6B8z3XNfd9zT2TYRgCdJiuewDg3SN4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCL4JMkwZLFY9xBwzwk+STKZZDrNwcG654B7a2fdA2yGN97IYpFTp9Y9B9xb9Sv8/n6SfOtbefrpfO1rSTIM650I7p3uFX4YMpvl4CDPPpsXXsixY+seCO6t7hV+sch0mt//Pn/+c6bTfPnL6x4I7q364JO8+GIuXMjubj73uXUPBPdWcfDjfv7WrTz3XGazPPFETp9Okslk3ZPBvdId/HSaGzdy//2Zz3PuXGYzV+zYbpOh/Fd8sci1a/nTn3L2bB54YN3TwL1VHzw0Kd7S/xd/+CjQHfz58/nqV/PjH2dvL5OJ5tl6rcGPbf/0p/nmN/PMM3nttbs/hO3VGvx47+0nP8nubp58Mh/6UBYLN+TYeq3BJ7l6Nc89l/39PP54dncznwuerVd5ln7cuv/859nby0MP5dOfTpJp8d8+alT+lo+79x/+MJNJzp7Nxz62PFQP267vt3wYMpnkxo38+tcZhnziE7nvPvt5SvQFPy7mzz+f8+fznvfk3LnEfp4Wfe/hx5V8Os3Zs7l+PV/4wvJTNFCg8mjt+F++dSt7ex5rRZXW4Ofz7PTtbqjX+t51rL3wjx3d+oKfz/P1r+dLX8ovfuHKPG2agp/Pk+T8+XznO/nud/PSS+seCN5tTcGPG/g//jF/+1sOHcqTT979IXRoCn42y2KR3/wm83kefzwPP7zugeDdVhP8eJz26tU8+2ySPPVUjh2zvNOmJvjRxYt58cUk+dSnMp36SCxtaoIfD8/+6le5fTuPPppHHkk8kZo6NcEnOTjI97+fYcgnP5kPfzgRPHWaTptNJvn4x3PhQp54Yvnl0A7bUabyaO2NG3nve9c9BKxBU/CLRebzzGY+DEutmuDH1EfjMzCgT8FaN56off75fPSj+cpX8sYbHkFPrYLgx7Z/9KO8/HJ+8IPcd5/aqVUQ/GSS27fzwguZTPLZz+bIEU+wo9a2Bz++dX/ppfz1rxmGfPGLSTzQiloFwSf55S9z+XKOHs1TTyXO29Brq4MfhuXRmt/+NsOQz3wmJ0+ueyZYp20PfjrNX/6SP/wh02meftrlOsptdfCLRZL87nd5+eUsFvn8592Qo9xWHyafTjMMefTRPPNMFgtPvICak3YHB5lOHaql3Fav8KPxCP3u7rrngPWrWeGdn4ctv2j379QORcEDgocqgocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigociO+seALbKMGQYkmQyyWSy7mneRvCwMotFhiGz2brn+N9s6WFlptPMZtnby6VLuXVr3dO8Eys8rMBikek0P/tZvv3tXLmSnZ184xt57LHM55u14AseVuaVV/K97y1fv/pqHnts+X5+c9jSw8o88kiOHs3OTmazvPlmko0L3goPKzBekH/ooSSZzzMMuXp1vRO9Mys8rMyZM3ffsV+5kiTTDStsw8aB/0+TSYYhhw/n2LHlNv711zMMmU43a1cveFilhx9evrh8OTdvbtzZG8HDKt0J/vXXs7eXbNh1O8HDKv178P/851pHeSeCh1W6E/xrrwkett2ZM0mW9+HfeiuxpYct9sEPJlnenLt2bb2zvAPBwyqNK/zo739PNuxW/CbNAv//jh7N4cOZz5Pk4sUkm3VnTvCwSjs7OXNmGfyrr2axWPdA/0nwsBrjSr67e3dXf+lS9vfXONE7EDys0s5OPvCB5etLl3L7drJJF+oFD6s0bulHFy8ug98cgocVG1f4nZ27K/zmEDyszLh1Hw/bzWbZ39+4W/GCh5UZgx8fgzG+fuWVdc7zdoKHFTt6NLPZ3Ttz2aRb8YKHFTt8OCdP/kfwm0PwsGKHD+fBB5evL1xY6yhvI3hYmXHrfvjw8m18vIeHrXfkyN0VXvCwtcYV/tAhwUOH8VrdGPxsluvX849/JBtzulbwsErjx+MeeODuPzdqkRc8rNK4qz9xIpNJ5vPM55t1Z07wsHrHj+d970uS+Xy5wtvSwxYaV/jjx3P//UmyWCyfeyN42EJ3tvRj8Nmww3aCh9U7fjwnTixf29LD1hq/VfL977+7wo9b+g0heFilySQHB0nurvDXr+fgILPZRizygocVG8M+eXL5z5s3c+nSpnxCVvCwYmPbd07X3rix/EaKTXhkteBhxcbgT53KoUNJcvPmMnhbethap08vz97cCX4TCB5WbFzh7wS/v2+Fh+01fnvk6dM5cmT5k805bCd4WL1hyKlTd4O/ciXZjEdZCh5WbPyc3M7OckufZG8vyUbcihc8rN4Y9oMPZnc3Ozu5di1vvpnpVPCwvU6cyP5+Dg5y+XIuX173NEmSnXUPAFtoNkuSc+fy1ls5cSIf+UiOH0824G38ZFj7JgN4t1jh4V4ZhhwcZBgymWRnZ/3Le6zwUMVFOygieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyLzsxNXXmMvUNAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "action": "('move', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "action": "('move', [-19.303992329567922, 8.231455365955322, -7.502828963924543])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKj0lEQVR4nO3dTWwU5QPH8d/MsqVEqYClL2JRIGshMZigxrfEgMLJhJsnb144m3jwZOLFmwdvevDqyQPG+HJQIL5EEiURsLFQMaUFo0IRsi1ruzsz/8MzgCFQyj9dpzO/7+e0ndPTZL/7zD4780yUZZkAeIiLHgCA/w7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOAlSVmmNC16EEDXEbwkKYoUx+p0ih4H0F2rih7AyjAzozTVxo1FjwPoLvsZvt2WpPff1/79euMNScqyYkcEdI/3DJ9lqtXU6ejQIR09qr6+ogcEdJf3DJ+mimOdOKHTpxXHevXVogcEdJd98JKOHdP0tOp1Pf980QMCuss4+HA+Pz+vw4dVq2n3bg0MSFIUFT0yoFu8g49jtVrasEFJor17VauxYodqizLzt3ia6soVjY+r0VB/f9GjAbrLPnjAifEp/U344IMB7+AnJ/X66/rsMzWbiiKaR+W5Bh/a/uILvfOODhzQn3/eOAhUl2vw4be3zz9Xva49e/TQQ0pTfpBD5bkGL+nSJR0+rHZbu3apXleSEDwqz/Ja+nDq/tVXajY1NKRnnpGk2PizDzYs3+Xh7P2TTxRFajT02GP5RfVA1fm9y7NMUaRWS99/ryzTE0+ot5fzeZjwCz5M5keOaHJSq1dr716J83m48PsOH2byOFajoatX9eKL+V00gAHLS2vDvzw/r2aTba1gxTX4JNEqv7Mb2HP97hpqN/ywgze/4JNEb7+tV17R11+zMg83TsEniSRNTuqDD/Thhzp+vOgBAf81p+DDCfzYmKam1NOjPXtuHAQ8OC1c1WpKU/3wg5JETz6pBx8sekDLKUmUJIpjRRE/MuK2bIIP19vMzOjQIUnat099fVWa3ms1Osed2QQf/P67jh2TpKefVhwrSSpTybff6ssv1Whoyxbt2qXe3qIHhBXJJvhw8ex332lhQaOjeuQRqVI7Un/0kd59Vz09evRRHTyokRFuCMItOL0jOh0dPKgs01NPaetWqVLBnz2rWk0LC1q9Op/eK/TPYdnYzPCSokiPP67pae3enT8cukIX242N5bf8bd+udeuKHg1WKstLa1strVlT9CCWU9jI459/lKZ66y29+WZ+yz+TPG7idEqfpmq3laZVqj18XJ86lV9VJGnzZkns0Idbq8457R2EBfmwihX2wKiE8K+cPq1OR2mqnh4NDhY9JqxgBjN8mPuOHNHOnXrtNc3MVGkL+ptm+MFBDQ1JrNjhNgyCD018+qlOntTHH6u3tzK1B1mmX37JXw8P5zM8weOWDIKPIi0s6OhRRZGee0733FOxHeyiSL/+mr9+4AENDFTpKwuWWdWDD1/djx/XmTPKMr30kqTKXF0X9uZqNnXlSn5keFirVqnTKXRYWMEMgpf0zTe6cEFr12rfPqk657tpKkkTE5qby4+MjEiVWpTEMqt08FmWX1rz44/KMj37rO6/v+gxLaewFvHbb2o2Jam3Vw8/LLEHL26v0m+NLFMca2JCP/+sONb+/dVbrpN05oyuXpWkdevy4JnecTuVDj6c8v70k06eVJrqhReq9IOc/hV8sH69tmyRCB63V+kLb+JYWabRUR04oDSt2I4Xurb4eP58/ud992lwkJvksJiqBy9p50699546nfzPqkx/aapaTX//rYsX8yPDw4oitdvq6Sl0ZFjBKh18kKZKEtXrRY9jmYXz+akpXbiQHwn3+DO9YxEGwcdxfm5flbk9CMGfP58HX6+r0ZCqcwaDrrCZDirXQQj+3DnNzkrSmjXV28UHy88m+Io6dy5/0dOj0VGJ4LEogi+lcElRmt4Ivq+Pq+hxZwRfSiHsy5c1NZUf2bYtPw4sguBL7OJFTU/nr3fskDifx50QfCmFmfzSJU1P55GH4IHFEXyJXbigViu/P2j79qJHgzIg+FIKV9ecPXvjCEv0WAqCL5+wYpemmpiQpE5HQ0Nav77oYaEMCL6sWq18Z6ss044dldnFB91F8GU1N5fP8JJGR6t3rwC6guDLam4uf56crn2BB+6I4Mvqjz+0sJAv0Yff5MJ+H8AiCL58wlL8+Lh0LfLKbe2BbiH4sjp1SpLabQ0P6957JX6TwxIQfCllWR68pEZDa9cWOhqUB8GXUppqbCx/vXUrwWOpCL6UZmc1NZUv0W/bpnqd++SwJARfMte3pu508i/tYS/6aj0vD91isKddFY2P5+vztRrPh8ZdYIYvmTDDj48ry5RlGhrSxo1FjwnlQfDl8+8Hwo+MaGBAYobH0hB8yYRb5a5fRb9pk/r7JYLH0hB8ycSxZmc1M5P/uWmT6nW12wSPJSH4MknTfHpvtfIj1x8IDywFq/Rlcv2B8AsLqtXU06PNmyUeL4Ul451SJuGnuBMn1GwqSdTbm982w/k8logZvkyuPw735Zf111/asCG/6obgsURRxve/cpqf1+XL6u9ncyvcBYIvnyRRkvAQePw/CL6swpV2LNfhrhA8YIQJAjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyP0/OTFtz3kEZAAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKj0lEQVR4nO3dTWwU5QPH8d/MsqVEqYClL2JRIGshMZigxrfEgMLJhJsnb144m3jwZOLFmwdvevDqyQPG+HJQIL5EEiURsLFQMaUFo0IRsi1ruzsz/8MzgCFQyj9dpzO/7+e0ndPTZL/7zD4780yUZZkAeIiLHgCA/w7BA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOAlSVmmNC16EEDXEbwkKYoUx+p0ih4H0F2rih7AyjAzozTVxo1FjwPoLvsZvt2WpPff1/79euMNScqyYkcEdI/3DJ9lqtXU6ejQIR09qr6+ogcEdJf3DJ+mimOdOKHTpxXHevXVogcEdJd98JKOHdP0tOp1Pf980QMCuss4+HA+Pz+vw4dVq2n3bg0MSFIUFT0yoFu8g49jtVrasEFJor17VauxYodqizLzt3ia6soVjY+r0VB/f9GjAbrLPnjAifEp/U344IMB7+AnJ/X66/rsMzWbiiKaR+W5Bh/a/uILvfOODhzQn3/eOAhUl2vw4be3zz9Xva49e/TQQ0pTfpBD5bkGL+nSJR0+rHZbu3apXleSEDwqz/Ja+nDq/tVXajY1NKRnnpGk2PizDzYs3+Xh7P2TTxRFajT02GP5RfVA1fm9y7NMUaRWS99/ryzTE0+ot5fzeZjwCz5M5keOaHJSq1dr716J83m48PsOH2byOFajoatX9eKL+V00gAHLS2vDvzw/r2aTba1gxTX4JNEqv7Mb2HP97hpqN/ywgze/4JNEb7+tV17R11+zMg83TsEniSRNTuqDD/Thhzp+vOgBAf81p+DDCfzYmKam1NOjPXtuHAQ8OC1c1WpKU/3wg5JETz6pBx8sekDLKUmUJIpjRRE/MuK2bIIP19vMzOjQIUnat099fVWa3ms1Osed2QQf/P67jh2TpKefVhwrSSpTybff6ssv1Whoyxbt2qXe3qIHhBXJJvhw8ex332lhQaOjeuQRqVI7Un/0kd59Vz09evRRHTyokRFuCMItOL0jOh0dPKgs01NPaetWqVLBnz2rWk0LC1q9Op/eK/TPYdnYzPCSokiPP67pae3enT8cukIX242N5bf8bd+udeuKHg1WKstLa1strVlT9CCWU9jI459/lKZ66y29+WZ+yz+TPG7idEqfpmq3laZVqj18XJ86lV9VJGnzZkns0Idbq8457R2EBfmwihX2wKiE8K+cPq1OR2mqnh4NDhY9JqxgBjN8mPuOHNHOnXrtNc3MVGkL+ptm+MFBDQ1JrNjhNgyCD018+qlOntTHH6u3tzK1B1mmX37JXw8P5zM8weOWDIKPIi0s6OhRRZGee0733FOxHeyiSL/+mr9+4AENDFTpKwuWWdWDD1/djx/XmTPKMr30kqTKXF0X9uZqNnXlSn5keFirVqnTKXRYWMEMgpf0zTe6cEFr12rfPqk657tpKkkTE5qby4+MjEiVWpTEMqt08FmWX1rz44/KMj37rO6/v+gxLaewFvHbb2o2Jam3Vw8/LLEHL26v0m+NLFMca2JCP/+sONb+/dVbrpN05oyuXpWkdevy4JnecTuVDj6c8v70k06eVJrqhReq9IOc/hV8sH69tmyRCB63V+kLb+JYWabRUR04oDSt2I4Xurb4eP58/ud992lwkJvksJiqBy9p50699546nfzPqkx/aapaTX//rYsX8yPDw4oitdvq6Sl0ZFjBKh18kKZKEtXrRY9jmYXz+akpXbiQHwn3+DO9YxEGwcdxfm5flbk9CMGfP58HX6+r0ZCqcwaDrrCZDirXQQj+3DnNzkrSmjXV28UHy88m+Io6dy5/0dOj0VGJ4LEogi+lcElRmt4Ivq+Pq+hxZwRfSiHsy5c1NZUf2bYtPw4sguBL7OJFTU/nr3fskDifx50QfCmFmfzSJU1P55GH4IHFEXyJXbigViu/P2j79qJHgzIg+FIKV9ecPXvjCEv0WAqCL5+wYpemmpiQpE5HQ0Nav77oYaEMCL6sWq18Z6ss044dldnFB91F8GU1N5fP8JJGR6t3rwC6guDLam4uf56crn2BB+6I4Mvqjz+0sJAv0Yff5MJ+H8AiCL58wlL8+Lh0LfLKbe2BbiH4sjp1SpLabQ0P6957JX6TwxIQfCllWR68pEZDa9cWOhqUB8GXUppqbCx/vXUrwWOpCL6UZmc1NZUv0W/bpnqd++SwJARfMte3pu508i/tYS/6aj0vD91isKddFY2P5+vztRrPh8ZdYIYvmTDDj48ry5RlGhrSxo1FjwnlQfDl8+8Hwo+MaGBAYobH0hB8yYRb5a5fRb9pk/r7JYLH0hB8ycSxZmc1M5P/uWmT6nW12wSPJSH4MknTfHpvtfIj1x8IDywFq/Rlcv2B8AsLqtXU06PNmyUeL4Ul451SJuGnuBMn1GwqSdTbm982w/k8logZvkyuPw735Zf111/asCG/6obgsURRxve/cpqf1+XL6u9ncyvcBYIvnyRRkvAQePw/CL6swpV2LNfhrhA8YIQJAjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjDyP0/OTFtz3kEZAAAAAElFTkSuQmCC", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIKElEQVR4nO3dXY9VZxnH4XutPZtAKlbTlmoTI9WmUTBGYHiL1pdA22kEUv1g/SqGaGIDAYu2lLcKtI0GSyGaRpLBpulBKzCz1+PB2gd+ATrJ+l/X4Tpak6xfnnu9zLO71loBGfqtPgHgqyN4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCL4pda2+gzg8RP8UtdVazUMW30e8DitbPUJbL3W6tGjaq22b6+u2+qzgccpPfiNjZrP64036sqVOnGiDh2qvXurN/cwUV0LvnltrVqrhw/rtdfqwoWqqgMH6t13azarrrPaM0HRa9kwVN/XBx+0jz5qs1mtrNTB1Taf12KhdqYpPfiqunal3bvXhqFWVurVta6qZrMtPjF4THLv4Vur+byGoa6+14+3Nd94sh071lVZ3pms3BV+jPzOx+3tt5dPMQ4fHHburGEQPJOVHvytW3X7dputVFWd+u2sLO9MWmjwrVXf1zDUOxe7ruuraqVfvHy8SvBMWmjwVdV19fnndeZMtVaLzTp0uHvuua0+J3jMcoOvqk8+qevXaz6vqjr1eu97GyYv9Bofv5w/f375Zq7v61e/rK7zLT0TFxp8VXVdnf7doqo2Nmrv3tq9e3kQJiw3+PX1unSp6/vqujp+vJ56qloTPBOXGPw4t589W/991HddtTYcPTLMZrVYbPWZwWOWGPz4Bv73pxfVarGo55/v9v6or/JPckxf3DU+voF/+LAuXVn+7YcOdi++aJ4nQmLwXVfnztX9+2Pfw4EDw8pKbW4KnumLC368UT/75uLLL1tVPfNMf/SoeZ4UWZd5azWb1YMH9d71vqqrqhdeqAOry3+Mh8nLuswXi+r7unmzbt8Zx/e2/yeLHTvseEGKrODH5/MXL9a9f1dVPfFE9+rarMzzxAi60lurlZXa2Kxr15ZHnn66fv6L5XN7SBB0pY/P5+/crsuXljte7N9fTz5pxwuCZAVfVX//W7t7t4271p08aXknS8rFPobdWl260g2tr6r5yrC2ZjtqsqQEX1VdV59+WmfOtKpaLOrI4fr2t7b6nOCrlRL8OM//65/t+vVhPq/q6tTrfVnbCZMS/Di3v/XnrmrWqro2HD9e5UdjCRMU/GJRfzi9qKrNjdq7p777Ha0TJyL4cRlfX693Lvbj8/m1X/df/6bfnCBORPBV1VqdO1ePNsY9qYeXfjrMejteECci+PGTm9Onq6o2N+r73+t+8EPLO4mm/9tyY+1ffFEXL1ZVdV0dOdrt3m3HCxJNf4Ufw37rQn322XJ36kOHats2O16QaPrBjzfqb/5xePCgWqtdu2p1tco8T6SJBz/ueLFY1NWry9+E3rOnVleXxyHNxIMft7K5fLndvTseaPt+vLltW21sWOFJNPHgx3n+LxeG9fVWVTu/1h172Y4X5JryhT/O7Rsbde2vy/F91672s5c68zyxphz8MNRsVh/frhs3atyyct++ZscLkk35Pfz4lO79m8OdO202m7VWJ072Xr+TbLLBj3N7a3X5aj8+utuxo62tdWon2ZRH+q6r+/frT+erqoahVvcNzz67PA6ZJhv8OM//41a7+X7bvr1mszr1G0/qSDfZkX588bb+n24+rwcPqqpeeaWqfEJPtMkGPzp+rK5dqxs36sMPa/fuKvM82boWs8mTtR0mew8/aq2GYXk/r3YIWuGBia/wwP8TPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5H3EloLhXHZy9AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "bdd30f22c82e1ea8df3f2bcc2fa696a699e98a6f44f4a07fbe8ad0cec88642d6"} +{"episode": 32105, "episode_seed": 3761269459, "split": "train", "timestamp": "2025-09-15T23:17:00.421162", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3761269459, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "action": "('move', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "action": "('move', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "action": "('move', [-4.810252780086959, -5.137038057564488, 48.47563285424227])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "366f829ab21e2a19889c4982bfbf1ee371e7040aded73521803f25ebd683ba35"} +{"episode": 32106, "episode_seed": 3247504155, "split": "train", "timestamp": "2025-09-15T23:17:01.371996", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3247504155, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "action": "('move', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALYklEQVR4nO3dfWhV9QPH8c+5925TrKxsf0RmlliYGRH0j4WZRIi0TBs9aDnZdIphYFaYYA9oCGFaiqXEJKN8WDrrD83oiRKxKEWIKIi0jIweFBu6vNu95/THOWw//Ol8iNrO+bxf7K+xP87G3vf7Pd/v99wbRFEkAB5yPX0BAP47BA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXikRBj29BVkAcEjJXI5RVFPX0TqETx6tzjyMNSBAwqCru/gnBA8erc48qYmjRqlNWsk5vb/SBDxeole7tgxjRqlPXtUWammJj34oEolFQo9fVmpxAiP3i2K1K+f1q/XsGFqb9f06dq0SYUCE/tzQ/Do3YJAYairr9bmzRo6VMePq6FB69YpCGj+HBA8er1cTuWyhg3Tli266iq1tqqtTZKiiObPFvfwSIn4vn3nTv3yi2pru74fRcnCHs4AwSM9ymXl89L/RH74sC6+WGGoHHPVM8KfCemRzyfT+DDU0aN66SXdfLN27FAup1Kppy8uHRjhkTbxeP7TTxo9Wvv2afBgNTfrppsY588EfyCkTXzG9vLLtXKlqqv1ww964AHt3p2s7aFbBI90CkONHaumJvXvr++/10MPae9e5fM03z2CRwoFQTKe19SoqUn9+umbbzR1qr79lua7xz080ixert+4UQ0NOnZM11+vrVs1cCB7dafCgWSkWXze7r77VCxq5kzl8zp+vOtADs3/H0Z4pFycdy6nt9/WiBEaMoTl+m4QPDKhM/J4Mn/0qI4c0cCBxH8C/hbIhPjsTbmsINDBgxo9WvX1OnyYvboTEDyyolBIBvN339Xu3Xr/fTU06M8/lc/znhmdCB4ZEq/SNTToqaeSu/pp03T0KO+H14l7eGRLvIYXBJo3T88/L0n33681a9S3L3t1InhkUBgmX48/ruXLJamuTq++qooKmid4ZFF8014q6ZFHtHq1JDU2avVq9uc5eIMsim/aKyv1yisqFvXWW7ruOknJin0+b9s8IzyyK57AF4vasUO33548SB8/VE/wQJZ1Rv7hh7rtNkkKAsPs2ZaDgXgmH0Vatky1tVqwoOtYnhmCh4FcTmGoINCnn+rIES1erIULPT+4iuBhIH5+XtLrr+uOOxRFeuYZLV6cvOm9U/Pcw8PMkSOaOFEffyxJS5Zo7lyrB2wIHk7ipbvfftPEidq5U7mcVqzQrFk+6/YEDzPxeP7zz7rnHn3+uSRt3apx40ya5+ANzMQPzF52mVpaNHasLrxQ114ruRy/Y4SHpfhDbH78URdcoIsu6umr+e8QPFyd8CY5HggexvyepeEeHsacUo+5bD8CEMEDVggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwwD8SRSqXFUU9fR1nJojScqUA/jFGeOAchaEktbVp7Vq1tUlKwThP8MC5CEPlcjp+XI2Nmj5dTz6pKEq+ejOCB85auaxcTocOacIEvfmmwlDLl2vxYuVyBA9kS6mkfF779qmmRtu3q1BQuaz+/VVdrSjq7c2zaAechXgmv3evpkzRV1+pokIdHaqu1po1uvPOJPUg6OmrPDWCB87OJ59oyhQdOJDUPmiQ1q/XyJEqlVQo9PTFnQ5TeuD0OofFlhbddVdX7cOHa9s2jRypcjkFtYvggdMKwyT4Vas0aZJaW1VZqY4O3XKLtm3T8OEql5XP9/RVnhmCB7oTb7ZHkRYu1KxZKhZVVaX2dk2YoJYWDRqkMExN7eIeHuhGHEeppLlztWKFcjnl8+roUGOjXnhB552XrOGlCMEDJxdFCgK1tWn6dK1bp3w+mdvPn6+nn1ZlZfpql5SGdQbgPxfHfPiwJk/W9u3JEp2kpUs1Z07XD6QOwQMnijfY9u/X5MnatUuVlWpvV58+WrVKdXWSkgM2aZTOqwb+NR0dKhS0Z4/Gj++q/ZJLtGGD6uqS0/K9+WhN9wge6FIqqaJCH3yg2trkIF17u668Ups2afx4lcsKghTXLoIHOkWRCgVt3KhJk7R/vwoFdXTohhv0zju69dbkCH3aETzQdQZ+5UrV1+v331VRoVJJY8ZoyxaNGJGag3SnRfBwF4YKAkWRnn1Ws2errS05SFdbq+ZmDR6ckbE9xj48rMW7a8WinnhCy5crl1OhoPZ2zZypF19UVVWajs2eCYKHr3i9vbVVDz+sN95Iwi6XNX++nntOSu1mezcycV8CnL249l9/VX29tm1ToaBSSUGgJUs0d24yz89Y7SJ4eIon6t99p7o67dqlqioVi+rbVy+/rKlTk3ewSvX226lk7hUM6FYUJYtwX3yhu+/Wrl3q21fFoqqrtW6dpk5VqZTZ2sUIDyvxh0YUCnrvPdXX6+BB9emjv/7SkCFqaurabM9q7WLRDlbiQ/IbNmjGDLW2Jo/E3HijXnst2WzP0oL8STGlh4X4DHyhkNylt7YmB+nGjFFLi0aMSNn7WJwzgkf2xQvyQaBFizR7dvJ4TKmke+9Vc7OuuCKD22+n4vFbwlj8xEu5rEcf1YIFSdilkmbM0Nq1GjAgWZM3YfOLwlK8CNfaqvp6LVuWfGhEFGnePK1apT59XGbynVi0Q2bFM/mDB9XYqK1blc+rXFZVlRYt0mOPdf2AFbblkE3xbfnXX2vaNH32WXLT3r+/li5VfX2yIO9WuxjhkUnxP/Uff2jcOH35ZXKQ7tJLtXq1amrU0aGKip6+xB7CPTyyKYp0/vmaMEGFgopFDR2qzZtVU5OOD4T69zDCI+PmzNFHH6m5WddcY3G0pnsEj+w7dEgDBhhttneD4GHBcEH+pOxf8WCA2jsRPLKP2jsRPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8Y+Rs5BUyGbrXbrAAAAABJRU5ErkJggg==", "image_next": "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", "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', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "action": "('move', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "action": "('move', [-0.8407739427901167, 2.9058358210562965, 30.568824882910615])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIpElEQVR4nO3d36tlZR3H8e9ae585BzsZMSGKlTcjjFJSUBciA13YRTEqOk2idRxrUsgu/EGKlgmRg5XKBDmkjhEOUzMojuIPBjKGoMCQMC/8B8aiSVExf8/sH6uLNZiZpil45uzP68W52zfPOZw3z7Oe9ay1m67rCsjQLvcAgA+O4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4CGI4FkBum65RzArBM+RruuqaWo6Xe5xzATBc0Tra6+qtq3JZLlHs/IJniNXX/uzz9aFF9Z999VgoPn3a7jcA4C31td+4EBt3lx799ZDD3WLH+pO/2I7mdRgsNyDW7HM8Byh+sn8lltq796aX6hnnqmNG7vf75ua59+PprMByhHs+efrgqXugQdr1arm0KH62EfH9z8wOPW0ZjyuoeXp/0/wHOleeqk2nDX57b52bq4Zjeq4Y6b3P9h87vONtf17YEnPEa3ranGxfnPX4AvrJqNRNxzWgafbDed0jz9uD++9EDxHtP4O/OrVtfvu4brTJuNxNzdXT/6t3bChNP8eWNKzAvSr96ef6s46c/KnRwf99fzatXXPPXXyyeV6/t0TPCtD3/yBv9f6M+qxx2p+vg4erE9/qtuzp9ac6Hr+3RI8K8Z0Wm1b+/fX+vX1xBM1N1ejUX32M9P77ms+eULTf8r/5i/EitG21XV1wgl177110kk1GnVzc/WXx9uNX6n9+6ttnbd/Z4JnJen38NasqT17upNO6vrmH/1zs/T17q9Pds7bvyPBs8K0bY3HtXZts3t3u2ZNjUbdwkL94Y/N5s31jwP27d+B4Fl5hsMaj+uUU2rXruYTH+9ee60WFurh3zUXXdQ991wNBtb2b8umHStVv0v3yCN19tnTp55q+z28c86pO++sxcV/P1fLG5nhWan6PflTT627726PO64bjWo4rD17avPmevHFahrvyXkLgmdlm05r3brasaM59tgaj2turu66qy65pF555fCnvJHgWdnatkajOv302r69Vq+u0agWFmrnzrr00u7QyL26NxM8K16/h7d+fd12Wx19dL32Ws3P1x131Hev6CYTzf8HR5BZ8ZqmhsOaTGrDhjp0qDZvrldfrbm55pZt3dyq7qabmv7Ejj28MsMzMwaD6ro677y69RfdUUfVaFRt22zdWldfPe266n8QPLOjP4d3wabmZ1u7hYXquhoOmxtvrOt+0PWTvOYFz0zp9/Auurj56U+6waCbTGrVfHv9lu76H03723jhzTt4w6zpusP35266sbvqqqqmGc7VZDz98Q115VVt//8eez0veGZQv3pv27phy/R71zZN0/Sr/a1b67LLKvnheUt6ZlDTHD6Hd8332x9e172+RX/55bVtWw0GNR4v7wCXjRmeWdaft7/22tqypYbDmk5rOu2239Z96+LQL7QQPDNuMq52UFdeWTffXG1bTVODZrL99rrgG4PptJom63pe8My4rqvptLqurrhs+vNtNRi0067m5yZ3bG++thQ3zwue2dfP5F1X3/n2+NbbB/0XWqwaTnbubDae20a99FbwRHj9FZff3DT51Y62f9H1UfPTXbvqzLODmhc8Qfrl/aalya93NcNhOx7XRz483bW7+dKXm5DD9m7LkaVta/svB1/d0I3H0+Gw/vliu7TUPfzw4WO5M88MT5b+ev7ll2vTBZM99zar5ttDB+vEE2vfvjr++MPHdWbYTP9y8F/6p2gWF2vHzsEZZzSHDnaLi3XNNXXMMbNfe5nhydTv4b3wQp1/fp17bi0tLfeAPiiCJ1TILt2bzPoKBt5GX/t0GrFX9zozPAQxw0MQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUOQfwFOexbDrV4LIAAAAABJRU5ErkJggg==", "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": "7251a22b2963af7b55c64a1e1ab0fb25e1dc81871820a940e725e322980bfab4"} +{"episode": 32107, "episode_seed": 1239142003, "split": "train", "timestamp": "2025-09-15T23:17:01.980199", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1239142003, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "action": "('move', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIj0lEQVR4nO3dP4ik5QHH8d/MzunprvFiSk/BwkAgFiIi5AJnCAavEwx2aiUhFpcizaGBNEHwDxEsrkiRJgloDkQkIvgXJY2KVWwsRHIxkRRJOO88czozb4pZczFG8bydmSW/z4e3GJZl9mGH7z7v8/7b0TAMATqM1z0AYHUED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED+s3DCv6QZMV/Rz4v/NFKh2NvtBbfcFvO3+Chy9ppyr96KP84x/Z2srFF2cYlhu/4OHLmM1y5kzm88xmmc3OvphOc+pUTp48hy3JP/+Zo0dz552ZTrNnzxKHLXg4N9NpJpM8/3weeihnzuTkye3CT53KqVPn/G6jUfbuzZkzmc2WMNZPETycm8XS/fjxPPvs2S+ORhmPs2dPRqOz++Tz+fb2Oav9YcgHHyTJ6dNn33x5BA/nZtHz5uYnvjgM27v0n/7mzc1cfPH2En1zc3v7z9eXXJK9e/Pd7ybJZMlFCh7OzSL4K6/MLbfkwgvzla9kayuXXJKtrU+82NzMnj2f2CaT/3796bzHSz5RPhpWdgYQ/o/M55lOMx5vb1/aMGxvi0XBsgkedtKip8+q6n+eclvZSfgIHqq4tBaKCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCB6KCJ6dMJ+vewR8IYJnJ4zH280Pw7qHwucRPOdhkffx47nttvzoR0kym613RHw+wXMeFrP60aM5diy//nVeeCGTieZ3s9FgH4wvbRgyGuVvf8sNN+Stt3LTTXn88Vx0UUajjM0lu5FPhfMwGmUY8rWv5Wc/S5IXXsijj2ZjY93D4jOZ4Tlvw5DZLLfemiefzFVX5eWXs39/5nOT/C7kI+G8DUMmk/zkJ/nqV/P223n44SRq3518Kpy30SizWa6/PnffnfE4P/95XnopcYpuNxI852002l7M/+AHueaaXH55/vzndY+J/80anh0ym2VjIy++mH37cu21GYYMgx373Ubw7JzFWbp8HD+7jz/A7JzFYn46zcZGTp7Myy/nww8Ti/ldRPDsqI2NTCb54x9z4405dCjPPZe43nYXETw7ajGZb23l/fdz+nQeeCAnTmRjwyS/SwieHfXva+8efDAXXJCXXsqvfrXuMXGW4FmC+Tw33ZTvfz9J7rsvx48nVvK7guDZaYsD9Xv35sc/zv79effd/PSn2+fqWTfBswTjcT76KNdem7vuymiUxx7LU08lHoyzfs7DsxzzeUajnDiR730vr72WAwfy+9+7o2bt/PZZjsVDr/bty5EjOXgwhw+fvSyH9THDs2TDkA8/zIUXJh9P+7JfH8GzZIuJ3cW2u4NdepZvNst4nL/+Nbffnt/9LnH0bm0m6x4ABcbjnD6dw4fz29/mzTfzrW9l3z5L+rUww7Nko1Hm82xu5o47srWV117LL37hWP26WMOzfMOQ+TyzWX74w/zyl7n00rzySr7+9SQm+RXzh5blW1R9wQU5ciRXXJETJ3LkiNTXQvCsxMZGptNcfXUOH06SJ5/MsWMZjTKdrntkXezSsyqLh14NQw4cyCuv5BvfyDPPZP9+Z+xWyQzPqiwuudnYyP33J8nf/54//CFxF91KmeFZh0ceyYEDue46J+dWTPCs3L8jdy/Nyvl1s3KLY3XTacbjTKf505/s1a+M4FmH8TiTSd54IwcP5jvfyXvvaX41BM86LK6lf+edvPpq3nor9923/TA8lkzwrMNkktksN9+8/Uico0fz+uvbN9WxTA7asSbzeYYhf/lLvv3tHD+eQ4fyxBOZTNwwv1RmeNZkPM5olCuuyL33JsnTT+c3v9k+jMfSmOFZq8Vi/tChfPObueeeXHaZf0G5VIJnF3B17aoIHorYd4Iigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigocigoci/wIMz9vsZPhTtQAAAABJRU5ErkJggg==", "image_next": "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", "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', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "action": "('move', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "action": "('move', [-10.496362104336582, -22.567090678170583, 39.358189253810714])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI4klEQVR4nO3dT6ildR3H8e/znHOvlIKSmrpwIBU0Q6HRZDRHEHNIR1HctKoQBcGdKf6JFMoZEYMQl44bQV0J6phmCxlpQlM0Kxc5mhgqRuOfcIascc55fi3OtAxk5t5zrn1er+3ZPNx73vf7u7/fc57TtdYKyNAv+gKA+RE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8K6C1RV8Bn4/gOVTTabVWw7Do6+BzGC/6Avhim0xq7E30xWHCc0jG43r55br++nrjDXP+C8AfZw5Ga9V1tXdv3XtvbdtW775be/a0hx7qhuHAS6xNJjwHqbU67LB66ql6991aXq5HH60nHh9Go5pMFn1l/G+C52B0XQ1DLS/X7bfX4V9uk0nt29fd8/PuHx/X0tjCfu0SPAdpNKphqM2b66orh2Go8bief75t29aG5pRu7eqaXw4Ha/beee+9Omv98NFHfdfXcce1Z5/tTjvNf/JrlAnPwZslfeKJdccd3dBa19f779eWnw3Nkn6tMuE5JK1Va/Xvf9Ull7Tf7OzG4xqm9eQv69JLDfm1SPAcqmGovq/nnhs2barW+smkvn7q9Pd/GC0vV9dpfm2xpOdQzXbsL7igv+66bjKp0aj+vGu0dWv1ve36NceEZwVMpzUa1VtvtYu/U2//tev7Ouqo2rGjzjzzwEusESY8K2B2v83JJ3c3/Kib3Vr/8ce1ZUvt21fls3RrieBZGbPmr722NmyoYailpdq+fZjdezedLvri+C9LelbMbPdu587atKn276/ptM76Znvyqe7446u16g2XNcAvgRUz26XbuLGuuXqYTtvSUr3yam27f7BXv3aY8Kyk2dn7Bx/U+vXt/b911erwLw3Pv9h/4/Sqkv3imfCspK6r1urYY2vrlhqmQ9fX3n/2t9xoyK8VgmfltVbf+15d8t1uOqnxuJ7+dffII63K7t3iWdKz8mZn7zt3tssva3v29tXVKSe3F17ojj7a/bYLZsKz8vq+JpPauLG75prquhqP6s03a+uWoTWPx1gwE55VMbup9r33atPFw643+n5Uxxxdjz1W553n3rtFMuFZFbMjunXr6tZbqu9b19Xu3XX33bV3b5V77xZH8KyW8biGob7/w/6ii7rppJaW6plnavv2Go0EvzCW9Kyi2Rbda6/V2WfXZFLDUF9bN7zwYvfV47pyLL8IJjyraHYsf8YZdfPNNQxtaVxvv9Pfc4/UF8aEZ3XNbrD/8IN2/reHXW+O+r5GNTz/u+7sb3WO6ObPhGd1zXbvjjm2++mdo+Wl6vvaP/Q33VT79x94PBbzJHhWXdfVZFKXX9Yu2zxMJm28VDt/2z1w/3R2XM88WdIzD7PvnHzppbriirZ7d9danXJy+9Uz3Ukn1TA4lp8fE555GI9r//4655y6+gfDMLTxUr35l7r3F8NsVW/ozI0Jz5zM3mh79tS557bXX++6rg4/op54vC688MDGHnPgx8yczDbkjzyy7rqrWmt9X3v31J131qefVt8b8nMieOZndix/5ZXdVVcdeKD1jh318MMHXmIOLOmZq9nbbdeu2rCh9uyprqujvzL88U/9CSf45Ow8mPDM1WzIn3Za3XZbtdZGo/rgw/4nPx6qfGvFPJjwzNswVNfV7r/XFVcML77U9aNuaVxPbm8Xb+p8cna1mfDMW9/XdFrHHV+33lKHH1F9X/v2tTtuHz75xBHdqhM8CzD71opLL+8v39wm+2s87l55dfTAA2089ty71WVJz2LMVu+7drWN57ePPu6Hodata08/3Z1+unvvVpEJz2KMRjUMdeqp3Q03dMNQy8v1zjvdffdVa56QsYoEz8LM7re58abujDPaZ5/VSSfV+vWLvqb/d5b0LN5zz9WDD9Zdd5XT+NUmeNYQx3KrbbzoC4AahgOfn1H7ajPhIYhNOwgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH4FYNBBywbfqAAAAAElFTkSuQmCC", "image_next": "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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": "2a6f276e9844b54fab78941f82bfbb0fd94592be3d905cd04402bcce3bdb4e54"} +{"episode": 32108, "episode_seed": 1909910593, "split": "train", "timestamp": "2025-09-15T23:17:02.586078", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1909910593, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "action": "('move', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "action": "('move', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKu0lEQVR4nO3db2hVdRzH8c8590ybbnPeZYjkiJKVSWlZiBaYFGE9ECl6Ug8ikiBIK6IH9SDKB1EUVg8MSSqIjKQHWWiUmRiS/bE0QiIto7LI5tifpm5u555fD85RU1ZOSG/3ft4vhtw7cJ7J3vd77vn97m4UQhAAD3G1DwDA2UPwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMOIbfJYpTRVCtY8DOIuiYPkjH4KiqNoHAZx1phM+irRrl5Yt0+7dkpjzcJFU+wDOqnyw9/dr+XK98oq6uzU0pFWrlKZqaKj2wQFnnteED0EhaHhYH32k7m7Fsd55R599poYGpWm1Dw4487yCj2NVKiqX9dBDShJFkfbv16pVOnJEUcSJPeqf40W7EJRlmj9fn3yiJNH48Xr7bS1YoEpFpVK1Dw44k7wmfC4ElUp64onidl+fVq7U4cOKY4Y86pxj8HnY11+vxYtVqaihQevWaetWFupQ/xxP6XX0cv2OHZo7t9iBM2+etmwpntgD9cpxwudC0GWXackSpamSRNu2ae1aRZGyrNpHBpwxphNeKi7RffONbrxRXV2qVHTJJfriC40fryhizqM++U74OFaa6tJLdeedRfx79mjVqmLpDqhLvsHnYzxJdPfdmjZNWaYQ9PLL+uUXlUqc2KM++QYvqVTS8LA6OnTHHcXd3bv10kuSGPKoT77P4XP5d9/VpWuv1fffK4rU3q716zVjBvtwUIesJ7xUXJafNEn331+s1f30k159VcPDXLdDHXKf8LkQNDSkq67Srl1KEjU3a8sWXX65skyx+0Mi6go/zoWxY7V8uSRFkXp69PzzyjKGPOoNE146+kx+cFCLF2vjRiWJKhV9+qnmzOF346CuMOElFa+NbWzUww9r7Nji7mOPFa+fB+oGwRfyq3fz5unWWzU8rFJJmzbp3XfZh4O6QvCFfKqPG6d77lFbmyRlmZ5+WgMD/G4M1A+CP65UKl42t2iRKhUlib78Uq+/XmzCBeoAwZ8gitTQoGXLNHmyKhUND2v1av3xh5KEzbaoBwR/gnzIz5ql225TCEoSbd+uN9+URPCoByzLjSAE/f67rrxSnZ2KInV06IMP1N7OPhzUPH5+RzZlih54QCEojvXdd1qzpliQ5+ERNY0JP7IQ1NOjOXO0d69KJbW0aOdOtbezDwe1jQn/j8plPfpoUXh3t559VhK1o7Yx4UeWb6Tv7taiRdq2TXGshgbt2KHp0yWyR81iwo8s32DX1qalSzV2rOJYR47o8cf5LZeobQT/j+JYWaabbtKCBUpTxbE2bNDmzcXSHVCLCP4f5cFPmKB771VzsyQdPqznntPQEO9Rg1pF8P8mSZSmuvlmXXedskylkjZu1Pr1bLZFrSL4U4hjJYkeeURNTcoyDQ1p5Ur19ipJGPKoPQR/CvmJ/dy5uuWWYrPt5s3asEESwaP2sCw3KiHoxx81a5YGBpRlmjFDW7eqtZV9OKgxTPjRuugi3Xdf8bLZXbv0xhsSC/KoNUz4Ucn/k37+WfPna98+RZHOO0/ffqvWVppHLWHCj0r+spkLLtDSpQpBpZL279czz7APBzWGCT9a+WbbX3/VokX6+mvFscpl7dyp88/nZbOoGfycjla+2XbqVC1ZojFjlCTq6tKDDxbvQgnUBII/DaWSKhXdfrtmztTQkMplzZ4tiY13qBmc0p+e/B0m16zR9u266y7NnCmJxTnUDII/bfm7U+RvL0/qqC1JtQ+g9uSpS7z5HGoPEx4wwkU7wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxgJKn2AcBGCMdvR1H1jsMaweM/EkKRdAiKIsVHTx7TVFkmSaWS4pjUqysKf3/cBUZ0rGRJUVREG4IqlSLmOC4+TmlgQJIaG8/UoeJfETz+drJ9bPyGUJScG+Vk7u/Xn3+qt1ctLZo6VVmmONa6dfrqK6Wp+vp06JB6e3XDDVq69L/+HjAqnNJjpGfUUaRS6fjdSkU9Pert1YEDmj5dra2SdOCAVq/WDz+ov1/9/RoYKD4OHdLixVqxQmmqMWO0erXee++EL56mBF8tBG8pf76dfwwMqKdHnZ3KMl1xhRoaJGn7dr3wgvr61NWlnh4NDmpoSCHo4EG99ZYWLpSknh69+KJ++22Er79nj3T0cWTGDO3ZoylTVC6rXFZrq66++qx9ozgJwTtJUyWJVqzQ++9rcFCdners1MGDCkFpqmnT9PHHmjJFkvbt05o1J//1c85RCDp8uLjb0qJrrtHevWpv18SJamtTuay2Nk2cqAsvlFQ8djz1lJ58crTP8HGGEbyTSkVJok2b9OGHJ3y+sVFNTTr3XA0OFp/p6NDChWpuLmZyuayJE1Uua9w4zZ4tSSFo8mStXXvqf5TU/0+4aOckn/CvvabPP9eECWpqUkuLmpuL25Mm6eKLizE+ysWzLDt+6f6Y/DbLb/9LBI+R5Cf5J63D5X+yll7LCN5PvuRWqUgnTuOTrsyjHhE8YISrKYARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABI38BQEq3KZzsxg8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "action": "('move', [59.28235744290557, -84.35624852737091, 33.050465650992656])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "b67d65356f8884d7fa2ce5f54bd176751843575288dc1d9213d1aa25235f536b"} +{"episode": 32109, "episode_seed": 2528046554, "split": "train", "timestamp": "2025-09-15T23:17:03.537018", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2528046554, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "action": "('move', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "action": "('move', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "action": "('move', [-1.734161056022591, 10.893908254874532, 29.982350684671417])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKPUlEQVR4nO3cT4zcdf3H8dfsdrcChVhpi0UqICpGSNA0JgSKwT9gMTHGGBONaDSRqNGYcPLgv3jzJkGMh95Eg4kXo0Qpoq0xJkJiIyrogWIL2iqlplLLkm53x8MM7XZp4OcvBHb29Xhk0uzMfr/dmU2f8/l+3zPTwXA4DNBh6uW+A8BLR/BQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQZM3LfQdWquHw1GVqKlOeGVkNBJ8Mh0kyGIyvnjiR4TAzM6dugdViMBz9cy8xWrGzZAEfDLLmTM96Cwt58skcPpx9+/K61+VNbxpvDJNsNQa/7BG9YKVPPZXFxbzyleN977wzP/95jhzJoUN56qns25dPfzrf/Ob4u5pnkk3mIf3JVfqMp9bP0+QTT2T//jz+eB57LI89ln378sQTOXw4H/xgvv71TE9nMMju3fne907ba9++zM3lrLNe1McAL4NJCH44zOLiqXV7lGXOFPaJE5mfH18OHcqjj+bxx3P11bnqqiSZm8u2bdm/P8ePL9/x97/P3FzWrUuSd74ze/fm6quzeXMuvjiXXJKLL84rXnHmnwgTZRKCHwwyPX3aLfPz+c9/8vTT2bw5g0EGg+zdmx/8II88Ml69//rXnDgx3virX81VV2VhIVNTedWrcuBANm7MOefk3HOzaVMuvTQXXpitW7N2bZIMh7n55tx880v9GOElMQnBHz6cvXtz9GgOH86TT+bgwRw8mAMHcuhQfvKTXHBBkuzfny9/+bS9zj03GzfmvPPGGwyHmZ3NN76RZ57Ja1+bzZuzfv0ZftZoDf9fpwAwIVZ28AsLmZ7Oj3+cL30pc3M5cmT5Bg89lFe/Okkuvzyf+ESSbNmSjRuzYUM2bMjGjVm/Pps2Jc+eCFx//Wl/+eLi+ABhMDhtHKBwVqmVHfziYqanMz+fgweT5Oyzc+ml2bIlF12Uiy7Kli1585vHW27enNtvz1lnnfk1tjzb8MLCeNQ3Ok1YdqYAq93Kfllu9DLY3/6WP/4xl12W887L7GzWrs3sbGZmzrzLaN1OTi3dowuw0oN/fsveIbfsKvAcExK8KRq8GFb2OfxJCocXgw+BQRHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5GJD35xMQsLGQ5f7vsBk2Cygx8OMzWV6ekkmZ+XPbyAyQ4+yZ492bUrg0FmZjIYyB6ez2A4mX0MhxkMcuxYrrsuDz2Uj3wk73lP3v/+nH12kiwuZjDIYPBy30tYYSY7+Pvuy403ZmoqCwtZsyZbt+a9782nPpULLzy1WaJ8GJvUQ/pRw/fdlyQLC+M/778/X/ta3va2fPzj2bNn/KQwGGQ4NNiDZHJX+JHjx7N7d26/PQ88kEOHkozzTjI1lbe/PZ/7XK67LhdckGSc/fS0BZ9ekx38SQ8/nB078stf5g9/SJKpqQwG45X/sstyyy1597uzdet44/n5rFkjexpNfPDDYRYXx6/M/eMf+dGPcs89ufvuce2zszl+PEnWr88HPpCbbsr73pe1a5NkYWH8vAA9Jj74kdHbb2ZmkuSZZ/Kb3+Tuu/Pd7+Zf/0qSmZnMz4+/uOaabN+eT35yfJwfgz2arJLgR5Zmn+TRR/Ozn+WOO/KXv4xvOXmGf8klueGGfPazeetbx98aDk8N+WC1WlXBj4yGc2vWjK/OzWX37tx2W+6/P//+d5JMTWVxMUnWrs211+bWW3PttVm/frz9iRMGe6xaqzD4kdGKPbXkZccHH8yOHdm1Kw8/nGS8mI/Kf+Mb85nP5IYbcuWV443n5zM9fdrusAqs2uCXWhr/P/+Zu+7Kzp25995x7SfP8M8/Px/6UG66Kdu3Z3Y2sdqz6lQEP7L0DP/pp7N7d37603z/+zlyJDl9sPeOd2T79nz0o9m0KTHVYxUpCn5k2WDvz3/Ozp359rfzyCPJs1WPfiVveEPe9a58/vO54orTdjfYY3LVBT+ybLB39Gh+8YvccUd++9scO5YsmeevW5drrsmtt2bbtqxbN97eoT4TqjT4kecO9vbsyXe+k927z7DgX3HFeLB3+eXjjQ32mDjVwZ908ncwKvzAgdx5Z3buzK9+tXywt2FDPvaxbN+e668fD/ZG78+HiSD40yw91D92LPfem3vuyV135ejRZEn2s7O58cZs354Pfzjnnz9+xw6sfII/g6WDveEwDz6YnTuzY0f27k2WvG8nyZVX5pZb8oUvmOQzGZyAnsHUVGZmMhzmxIkMBnnLW/LFL+aBB/LDH2bbtlOjvpmZ/OlP47frj7aEFc4K/wKeO9j73e9y22359a+zf39e85rs2pXXv/7UJ/ZgJRP8/9WyE/W//z3f+lbOOSdf+Yq5HRND8P+zpZ/Az3OeCGAlE/z/02iwd/J/xYeJIHgoYkoPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRQQPRf4LBDWXFQ8lWKAAAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "959257e0f476d2cf8b7064b8595e49bc401e2ad1fbbc0c4cbf5893e9c0596acd"} +{"episode": 32110, "episode_seed": 3335853885, "split": "train", "timestamp": "2025-09-15T23:17:04.143939", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3335853885, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "action": "('move', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "action": "('move', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKvElEQVR4nO3dS4iddx3H4e85M2MTm6aZ0E6aW8WG2kWLoVloMNXWNop1ZQuCdKWLiuClQkFXQlQEEUEMXtAi4sKFiJsimmg3tVQltIXUC8GKCTbm4pixUiexZs55XbyvSYyhzWUuZ/J7HobAnDkzOTPkM7/38n/f9JqmCVBDf6lfALB4BA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChlf6hcAI6Np0jRn3+1fheOw15z7HcLV7UzS57Y9/qpjb24uc3MZH3+Npy0TV8P3AOc70/OZKT0YpGkyPp5e78LP7/Vy6lSOH8/LL+fkyUxP5/DhHD2aP/85x4/nwx/O+96XwSBjY4v3XSwAwbP8DYfnz+2xsfM3yNtQh8O89FL+/vf/efvQhzIxkST79uWRR/LHP2Z29vy/4rbbBA+L6P/3Pc/M6gvubB85kiQ33dR9dO/e/OhHeemlTE9nZiYnTmRmJqdOJcnOndmyJUnGxrJ/f5Jce22mpnLjjVm3LlNTmZrKzp3dE5Y5wbNMXHBTvPX88/nTn3L0aP7yl+5tdjYnTmT79uzendWrk+SZZ/LYY+d/4ooVufnmvPxy9+4dd+QnP8nrXpc1a7Jq1dm3M50LHi7bcJhe79VCPuvkyfz1rzl8OIcP58UXc/Bg3vnOvP/93Tb2Jz6Rp57KcHj+Z61cmX/+swt++/bcdVe2bcu6ddm0KZs3Z+PGrF6diYnuCUnWrMn991/4heYqOWgveJbAcJjh8KIPe8/N5cEHs3fv/zw4PX02+E2bMjmZ667L61+fycm84Q3ZvDnr1+e22zI5mSRNk/vuy333XdQra/cd2t9D7Z9XReotwbPYmib9fvr9HD6c66/PqlXJq26wZ2wsU1MZH8/UVK67LmvXZvXqvOUtyX9T/Mxn8uij2bw5N9xw4a/w/1/93CMC5370Kmr7gpyHZwn84x/57nfz/e/n0UfzgQ9kOHyt0J59NocOZcOGrF2bG2/M2rUXflq75XCVDud5IXgW2yuv5N3vzi9+kSTbtuWJJ7JmTfLqQ/485+0StPvYF3s8oDS//1hsExN505uS5Jpr8txz+cEPLiLVwSBzcxkMMhh0M/zcAwDtHoLaL4IJz6Jql7QdOZKtWzMzk6bJ+vX5zW+yZo2t78XgZ8xia5ps2JBPfSrDYcbGcuRIvvzl9PsXWFnDvDPhWWztIbpjx3LvvTlwIL1eJifzzDO5+Wa74QvOhGex9fsZDHLTTfnYx7qpPjOTz3++e5wFZcKzBNrD6qdO5d57s29fer2sXZvHH8/b3tZdisoCMeFZAv1+hsNce20++clMTKTfz4kT2b07g0F6PTvzC8iEZ2m0V7L2+7nnnjz5ZPr9rFyZH/4w999/FVyEOrpMeJZGe3yuafK5z3Un0Wdns3t3Zme7+c9CEDxLpm3+He/Igw9mMMj4ePbuzc9+5lj9ArJJz1Jq//X9/vfZti1zcxkOs3VrfvWrrFiRXNJiWy6OCc9Saof57bfnox/tVsfv35/vfU/qC8WEZ4m163BeeCFvf3ump9M02bQpv/1tVq2y2Hb++YmyxHq9DIe59dZuyPf7efHFfPGLDt0tCBOepTcYpN/PkSPZuTMHDiTJhg158sls2dKtt2e+mPAsvbGxDAbZuDEPP9xd6nrsWL7yle68nZE0j0x4RkLTZDjM6dPZvj3PP58kN9yQxx/P9u0W284nE56R0B6WX7Ein/50miZjY5mezje/mbm5jI0Z8vPGhGeEtLfHuOuu/PKX6fUyMZE9e3LPPd3jXDkTntHSNPnCF7rCX3klX/pSTp92Rc28ETwj5Mxi2/aW8+Pj+elPs2dP9yGunE16Rkt7Kv6557JjR/797zRN3vzmPPusu1TODxOe0dJuvW/blocf7uLfvz/f+la3PocrZMIzctrr4X/3u7zrXTl2LE2TLVuyb1+uv96cv1ImPCOnXYdz++354Ae7m2QcPJivfrV7nCthwjOK2q3348ezY0cOHUrT5I1vzJ49ufVWi22viAnPKGpvU79+fT7ykW4dzsGDeeyxs/fJ4fKY8IyodhX96dPZujV/+EOSTE7miSdy551uenf5THhGVDvMr7kmu3Z1Q35mJl/7mtqviAnPqBsMcvfdefrpjI2l18tTT+Wtb00sxbksJjwjrZ3tn/1s9+7cXHbtcpfLyyd4loG77z672Hbv3vz4x0msw7kcNukZde1O+9NP5z3vycmT3Tq8ffu64c8lMeEZde0puh078tBDGQ7T63WLba3DuQyCZ9SdWUX/8Y9n3bo0Tebm8vWvZ3o6sWF/iQTPMtAO8zvuyEMPdYttDxzId77jZjiXzD48y0M7yf/2t9x5Z44eTdPkllvy85/nllucmb8EJjzLQ/ufUkxN5ZFH0jSZmMihQ/n2t9V+aUx4lpOmyb/+la1b88ILSbJxY37962za1F05z2vyQ2I56fWycmV27crERN773nzjG1m/vnuci2HCs5y0N7ecnc2ePXngge6MndovnuBZrtr/u8IO/CWxSc/y056KT9R+yUx4KMSEh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieCjkPwnyp683zJRqAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "action": "('move', [2.7620304198326093, 2.6807832220923267, -55.92751027377795])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "5518635733f4ceea0ce837bc65266d4b408c0324dd47aede84dfe5a2d89c324c"} +{"episode": 32111, "episode_seed": 1467453397, "split": "train", "timestamp": "2025-09-15T23:17:04.747603", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1467453397, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "action": "('move', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "action": "('move', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "action": "('move', [-6.042949053709073, -9.386130593936647, 41.91635176806466])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKqUlEQVR4nO3dX2wVVQLH8d+Ze1uBxUXZDc0KCGxiMCtG/tmsARSBCLRsQmrJyipGwRiWhAezZI1PvhIjiRrjBmGpGqMPRkGpFNAoRLH4p6SEQLRZbAiiRMv/hKLtnbMPMwK7CSzsg23n9/08keltM5fw7Tn3zJkhxBgFwEPS1ycA4JdD8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHsUUY1+fQb9E8CimEPr6DPolgkcB9fSoq0uvv64lS3T8uMSA/7MQ+ZtAgcSoENTaqvp6nTghSc3NqquTGPMlMcKjYLLx69prJalcVgh64QWFQO05gkehJIli1PjxamxUb69C0I4d6uzs69PqNwgeRVOpqKpK8+YpBMWo7m41NeXHQfAommyQnzZNtbWKUTHqrbeUpvlxcwSPokkS9faqpkazZ+cf3Ts7tXGjQmCQJ3gUUZJIUkODRoyQpLNntXFj355Rf0HwKKBSSZWKJk/W5Mn5kU8+0Zdfqlx2H+QJHsWUXZBvbFRVlZJEhw6ppSU/7ozgUUzlsiTdd59qahSj0lQtLTp5UqWS0rSvT67vEDwKK0YNGaKGBsWoJNGHH6q9Pb9WZ4vgUXBLlypJ8qX7d99Vb2++pOeJvfQouBh111366CMliUaMUHt7Psn33Gxr/LsOBrKwH31UksplHT2qDz6QjG+kIXgU3513auRI9fQoBK1b19dn06cIHgUXo0aNUmNjvnS3c6cOHMi33BoieBRZtp02SVRXp0GDJClN9eKLCsH04hzBo+BKJcWo2lrdcUe+zW7zZp06ZXp9juAxoFx9o9kgf911uuee/Mjhw3rnHSWJ4zZbgseAki2vX+V0PBvM6+s1erQk9fTojTcuHLdC8Bgg1q3T44+rq0tSPjpfcfbZvTS33qraWkkKQW1t+uILJYndJ3mCR/+WDcEHD+qxx/TUU5o6VWvW6OBBlUpKEvX0XOEYnc0MFi/Ol+6+/VYtLYzwQD8Uo6qrtWiRhg/XoUNatUr19Vq9Wp2dqqq6wmqzpbv58zV2bP7yrVt17JjKZa9BnuDRv2VPnB09Wk1NevttrVypIUP01Vd64gktXKgnn9TRoxeav2z5aaohQ7RwoSSVSmprU2vr//ymomEvPQaCGFWp5Le87tmjtWv18sv68UdJ2rdPEybkz6zLXpntsLnEj/n6a40fn98wu3y5nnsu/6kmm20JHgNHpaJSSZLSVB0dWrVKY8fqmWfyZI8fV3e3Ro7MXxnCpbJfsEBbtkjS8OH6/HONG3fh10XhebxLFEP2QTyr8+ab1dys559XuZw/jHrFCk2apA0bdOTI5Zf0HnlEMapc1rFjev99rzvnGOExMJ3PNOu/o0MzZuj77yVp4kQtW6aGBt1ww4UXXPRNXV2aMkWHDytGTZmi3bvzKYIDRngMTOcH5SzmG2/UK69o6VJVVam9XStXqqFBa9bozJmLn0cfpBh1/fV66KF8kG9r0549ffQW+gIjPAokTdXaqrVr9eqreeQTJqipSVOnnp8RVHpjqRx27dLcueruVoxatkzr1rl8jDd4izCRPbxq2jStX6/du7Vwoaqr9c03qqmRLlx8S8ohViq33ZrefbfSVDGquVknTrhswiF4FEW2epemqq5Wba02btTmzXrpJY0enV+oa2lRU1Po6uotlYb+Opk3p6eUxCTRDz/otddc/l8apvQoootX3rPJ+nffac4cHTig6dPTh5clf1rQWf7tvD+qoyNKYdYsbd2qJMmv+hUYIzyKKKs9G/CzP/z0kyZNkqSPP06WPVxZtGjctn9Mn3pOIUhx71599plKJfX29uVZ/wIIHsWV7b1JEoWgMWPU1KRt29TYKCnu3BEXr7h319+GJmdV0rFjcdMmSYppwae8TOnh4fwkv7tbn36q1asr29+LMb1dn7WXb1clnTwp2dSsUb9T7E2TUijqXhxGeHjIVuErFQ0erJkz1dKi994rT5/45zFtikpC2LNHuzafCmdOx3KiEK78xtuBhREeZrJ/8CFEKUhH9nb9YcZvzpxJo0r3/2rTP6evv2bp/fGeunDdsMvfhzNAETxc/Vz+okV6880YFIfFkx/ptlv0TTq/LvnLYi1enO/eL9D0vlC/vYCrEEJUiGlcvlwxhlIST4Th23//d0mhZYuWLNGsWdq/X7rqR+j1ZwQPayEJU6bollvUm5ZCjE2D//rjW81h9swo6eBBVVcXaXgXwcNZ1vKwYXrwQcWoawaFffvL24fWq2W7NjTp2Wd1000F22RfnHcC/B+yJ2XMnasQdO6cRo2K/9oXVVWlhx/SvfdKKlLtYtEO5rIlubNn9fTTOn1aDzygiRN//oIK+OArggf+Q7Gm8P/N5kkfwGVlu3JCKPj9M4zwgKSCXW6/pOLOXYCr4VC7CB6wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YOTfSomvifHCfYcAAAAASUVORK5CYII=", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "5eb554d282446377918631b8796e1d17e31bedd4d7e72a941ad78bfa55a47473"} +{"episode": 32112, "episode_seed": 3757500976, "split": "train", "timestamp": "2025-09-15T23:17:05.356215", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3757500976, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "action": "('move', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "action": "('move', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALQ0lEQVR4nO3db2iVdR/H8c91zplnhX/6M80M0mFKYqREMcP+EQU1kBZLCcxpLCtdMa2kTMp6IEmQYNGwpVEqurY2ZRpGCkYWSmi0nkT0R0I0MrFczdzOuc65H1xXU1Pv2/vBfc9zfd6vR/57cIF7n9/v/K7vuU5QLBYFwENqoC8AwP8PwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgS1yxqDBUsTjQ14HSEBT5WSldxaKC4Cy/Bs6BFb5kFQoKAvX1ad06dXcP9NWgNBB8aYrW86NHtWCB6ur0zDMKAhUKA31ZuNARfMkqFnXRRertlaS339ZzzynF/yb+A97Dl6xokc/lNHOm2toUBFq2TIsXK59XOs37eZwVwZeyqPk//1RtrT7+WNmsVqzQ/PkKQ6VSNI8zEXyJi5o/fFj33ac9ezRsmNasUW2tCgV2+DgTwSfF/v2qqdHXX2vIEO3erYkTaR5n4gciEQoFVVbqvfc0dqweeEAjRsQn9rya43Ss8EkRrecHDmj4cJWXn1zeWedxCoJPkP5hu+gX33yjTEbjxikMlU4P9MXhgsBrf4IEgYrFuPYdOzR1qmbP1pEjSqcVhgN9cbggEHyy9N+K+/Zb/fabdu9WXZ26u+PXAtgj+MSJ2m5o0MsvS9K2bXr8cc7wECH4JIrm6l94QQsWSNLGjWpsVBAwigOCT64g0IoVqq+XpKYmvfiiwpA38+Y4pU+u6IbcX3+prk4ffCBJTU2aN0/5vDKZgb44DAz+45MrlYo/UbdqlY4c0f79Gj06PsPnaRmuWOGTLmr74EH9+qsmTyZ1cwRvoD/yaDOfy+ngQY0ZQ/yGOLQzEB3aR5+TP35cDz+sqip1dSkIOMNzQ/Ae+j8ev3evtm3T4cOaPl0//sgQnhuCt5FOq1DQbbdpzRpdfLG++061tTpwgOatELyTqPmaGjU1KZXSV1/poYd0+LBSKR6AaYLgzaRSyuc1e7ZWrJCkTz/VY4+pp4dhexME7yeTUaGgxka99JKCQJs3q6Ehfso9ko7BG0tR20uX6vfftXq1hg2L/zzKnvKTi/vwrqLB22PH9Mknqq5WWRnPxnFA8DjF0aMaPFhlZZJY5xOJV3Rvp3757NatuvtutbaefHIOEocV3l40YNvTo2nTtHOnhg7Vxo2qruZJeIlE8Pj7rK6rS9On6/vvddll6uzU1KkM2ycPW3r8/UHayZO1bp1GjNDRo5o5U599xs355CF4SJJSKYWhpkzRxo0aOlQ//aQvvpDEBF7CsKXHKaL37S0tOnRICxeyn08egsfpOKtLNILHGfp/JFjhE4fRWpyBzpOLQzvACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIfgSxlMq8N8i+FLV/7xJmsf5I/iSFD1vsqdH3d2SaB7ni+BLUiqln3/WjBlaulSFggoFmsd54cMzJSZ66lRXl+rrtW+ftm/XqFFatCh+P8/HXvDvscKXpB9+0L59ymQUhlqyRKtXkzrOC8GXmCjs++/Xa6/F53a5nB59VO3tCgLl8wN9fbiwEXzpibbuTz2lRYsUhho0SJLmzNGOHfGaD5wLT7wpScWiCgXl83riCa1eHXc+YoS2bNFNN/GUKpwTwZeq6GS+p0dz5mjTJqXTCkNdfbW2bNH119M8zo7gS1h0N767WzU12rlTZWXK5XTddersVGUlzeMsCL60Rc0fOaJ779XevRo0SH19mjpVmzerooIbdfgnDu1KWyqlQkEVFWpr0/jx6utTJqPPP1ddnbq7FQR8kQROQ/AlL2p+zBh1dKiyUvm8Mhlt26aGBh0/LvHlMTgFwSdB9D1REydq7VqNHKkwVDar9eu1eHH8D2geEYJPiFRKuZxuuUXNzRo8WL29ymb1xhtatkypFB+qQ4xDu0SJTubXrtUjjyiXi+/Pr1ypJ5/k0B4SwSdPdDK/cqWeflpSPHi3dq1mzYrf3sMZW/qkiU7mGxu1ZInCUJmMUinNnavOTgZvwQqfRMWiwlBBoMZGvfmm0mkVCrrkEnV06I472NtbI/hkiobtcznV12vDhngIb9QodXSoqoq9vS+CT6xoCK+vT7W12rpV2ax6ezVhgtrbNWEC67wpgk+yqPljxzRtmnbtigdvq6rU3q6rror/FlYIPuGiQ/tDh1Rdra6ueG9/111qbdWllzJsb4dX+ISLRm5GjVJbm669Vrmcysq0Y4fmzo0Hb3nBt0LwyRcECkONG6d339Xo0crlVF6u9nYtXBj/AwZvfRC8hXRauZyqqrRqlSoqdOKEslk1N+v55/k2Cy8E76KsTPm87rlHr7+u8nL19iqT0fLleuWVeAsABxzaeYlO5t96Sw0N8W+LRTU1ad48bs5bIHg7UfPLl2vxYqXTKhbjz9s8+CA36pKP4B1Fi/mzz+rVV+OnXw4ZopYWVVczkJNwBO8oGryVNH++mpvjm/MjR6qlRbffzt4+yQjeVLR7z+c1a5ZaWlRerhMnNH68Wls1aRLNJxbB+4qa/+MPzZihjz6Kh+1vvFFtbRozhvfzyUTw1qLR2l9+UU2N9uyJ9/a33qpNm3T55QzeJhCv4daikZsrrtCGDZo0KR683bVLs2fr+HEGchKI4N1FUzeVlXrnHY0dq1xO2aw+/FD19ertpfmkIXgonVY+rxtuUHOzhg9Xb68kbd+uL7+UmLRPFoKHJGUyyud1551qblY2qyuv1Pvv6+abVShwWz5ROLTDSdHUzfr1uuYaTZky0FeD/wGCx2n678ZxWy6RCB7/lM8rCNjJJxPBA0bYtAFGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5F2+PYdhjuJgyAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "action": "('move', [0.1467753098923813, 7.6738266382922395, 0.025041522875900075])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "22c69805e22e2def501ddae9bde65043e3f80dc1bb0c0c2f1ae31024ddedc9ba"} +{"episode": 32113, "episode_seed": 1493489, "split": "train", "timestamp": "2025-09-15T23:17:06.303999", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1493489, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "action": "('move', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKEUlEQVR4nO3dS29dd73G8WfbbtIWYpmIpiQKKc29EAWSlEslpCKREYLwKpgwZsKUIUIMYcagrwAxQipqUSUGJKmTtM1FUdU6vSSp0kBakSghtvcZ7H1ibA6c3u34+XxkWdby2s6K7O/+rfVflvdgOBwG6DCx2gcAfHYED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UED0UEz/1jOMzi4mofxP1tarUPAP4/o86Hw0xNZTBY7aO5v5nwrG3DYQaDTE5mairvvZe5uQyHq31M9zETnrVhOByXPLF8CA0GuXgxzz2XP/85Z85k374880ymp8dPBHxIgmdVLS6OL8tXnK7Pz2dqKn/8Y372s1y6lH/8Y7z9jTdy40amp1fhUNcFwbNKRqlPTY1H+p07uXIlb76Z2dn85Cd56KEkmZjI2bNJsmNHHnssTz2V730vW7YkMd4/msHQFRGfjdHa28TEslavXs358zl3LidO5K9/zYULSfLsszl6NElu3Mhvf5vNm3P0aHbtWp3DXl9MeD5lo4kyHGZiIpOTSbK4mMEg587l17/OxYt56aW8//7S/k8+mTt3xh/PzOTnPx9/vLAw/iITVpo/OsHzKRvN88Eg167l+PF85zvZvDmDQd55J7/73XifrVvz9NN5+ukcPJgdO/Loo+Ptw2Hm55NkcnL8ZMHH45SeT8LoPvmK0/WFhdy5k1deybPP5k9/ytmz+dvf8oc/5Ac/SJKrV/OLX2R6Oj/6UfbuzfR0Nm5crcPvYcLzMYwW3obDPPDAsu1//3t+//s8/3yeey5vv720/QtfyJUrSTIc5ktfym9+s+xRo4v8wWD8xqfAhOfDW1zMwkIGg0z978B4//289Va2b8+mTRkMcvJkvvnN8acefjj79mXPnnz72/nud3PwYB58cNld9Hs/gSL/9Amej+HVV/Piizl9OqdO5bXX8qtf5dixDIe5fTs//nFmZnLoUA4ezKFD2bZttY+VxCk9H8JoLN+8mePH8/zzOX48r7+e114br6sleeGFHDuW+fls3JhnnsnMTB58cPypu3eTjNfYTfLVY8LzgY3uos/O5oc/HF+KJ5mYyN69OXo03/9+nnoqjz667HT97t0MBu6lrR0mPB/YKOMDB7J5c6amcvjwuPM9e5Yu5u/tNlp+W7GYx2oz4fkwRtP7zJk8/vjKX2gf/SA5XV/bBM9HNVqodwvtviJ4Prx7d8u53wgeilg7hSKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKChyKC57/xJ07XGa88wzLD4fht9LpSk5OrfUB8ovyZasZ5j95PTS17GbiFBc2vK4IvdW+MD4crXwDurbcyN5e5uZw/n+np/PSn2bRp2StEcv8SfIUV3+QV6d66lZdfzrlzeeWVzM3l0qW88UauXUuSbdvywgvZtWt8hs/9zjX8OjTKe/R+VOm/D+eLF/Piizl1KqdP5/LlXL+e69fHL+I+MhhkcjKXL+fq1ezaZfVunRD8enBvpW104j266r4X+fx8bt/OjRt56aWcPJmTJ3PqVN57L7dvLyv8Xw0G2bgxDz2UTZuWtrAOOKW/X/3rStvk5LKltYWFvPturl/P5cs5cyazs5mdzYULyx4+MZHFxWVbPv/5bN6czZuze3cOH86hQzlyJI888ln8X/jMCP5+ci/y4TBTU8um7vXruXQply5lbi5nz+bs2bz8cm7eXNphtDK3YqQ/9lh27MiXv5x9+3LgQL761ezfv/JfNNvXE8Gvdf9+QX5v+7lzuXAh587l1Vfz+uuZm8ubby7tMBjkgQeyuJj5+aWNMzPjqvfvz86d2bkzjz+emZmlHRYXs7CQiQkv/b4+Cf5+cuVKZmdz+nTOnMmlS3nnnbz77rIxPhhkYiILC8sedeBAvvGNHD6cr30tW7dmy5Y88siy5475+fEi/L3OWa8Ev0YNh7l7Nzdv5vz5nDiREycyO5tr13LrVm7d+o+PmprK1FS++MUcOZInn8y3vpX9+zM9nYcfzoYNy/Ycjf1R3u639RD82jK6Zn777fzyl/nLX3L2bG7f/m/7b9iQmZnMzGTHjhw5kiNHcvhwdu78v6f0wsJ4uzFeS/Bryyj4K1fyla/kn/8cr8ytWGnbsiXbt2fbtuzena9/PQcO5ODBlQP83lcbkTcjgl9zRs0/8cTSjbQNG/LEE9m7N3v3ZufO7NmT3buzdeuyR83PLy2zyZv/xC/erDmDQYbDHDuWXbty5EgOHMj27dm6NVu3ZuPGpd0WFpaW0ycmMuU7yQdgwq9Ro7X3z31u2cb5+QyH7pnx0Ql+rRvdY1M4nwjBr1Gjb4vC+WS58lujpM6nwa9cQBHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5H/AfYPW2tfQqvUAAAAAElFTkSuQmCC", "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', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "action": "('move', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "action": "('move', [1.5444203516358328, 1.248698168148749, 1.778810502951065])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "10ddf6d5c7288d63527c5112ce88fd0e61836bacdaf898b9a0c965ba1af59639"} +{"episode": 32114, "episode_seed": 159667698, "split": "train", "timestamp": "2025-09-15T23:17:06.912004", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 159667698, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "action": "('move', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "action": "('move', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "action": "('move', [-2.2554052871073815, -25.170689121635103, -8.465635769486662])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "1f3505a804e33eedebc42a6bcd7b88fabb9fd1dc9833102eae91c8dab1434395"} +{"episode": 32115, "episode_seed": 643163520, "split": "train", "timestamp": "2025-09-15T23:17:07.517338", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 643163520, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "action": "('move', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "action": "('move', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "action": "('move', [-2.961288792365956, -13.210847379956405, 47.47872691670648])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKdUlEQVR4nO3dT4hdd93H8c+ZOzMxEybEUGxr4lTb2AoRuxAL4sL/Lor/QHBphFSkILqodSFVVyo8PlbcCFHRpyhuHltB8YGAovbZWBDURaVxbDpWmgSrbf5NEzMz9zyLcyaTxNan4iTXOd/Xa3XvzSx+Wbzv75zfOfd3mrZtA9QwNekBANeO4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FTE96APDvaG0t43GaJlNTmRrQtNi0bTvpMQDXiBkeNrRtmibjcQ4dyiOP5PWvz/79edvbJj2szWOGhw1d8KdP5wMfyE9+kqbJO9+Zw4cnPazNM6CzE/iXddPfqVM5fjxNk7bNK14x6TFtKsHDlc6cydJS/3r//kmOZNMJHq70zDNZXs7MTJLcemuyPvMPgOBhQ9MkyRNPbLzet2+S49l0gocNXeSLi0myspJdu/LSl052RJtM8HCZ1dX8/vdJMh7n1a/Otm2THtCmEjxc5m9/yx/+0L/ety/bt090NJtN8NDrVuZWVnLkSEajJNm3L7Ozyfqh/gAIHi7z9NM5e3Yj+AxoiT6ChyscOdLfcpP0d92Mx5Md0WYSPFzmscfStllZyfx8du9OBnQ8H8HDFbol+iQ33ZRduyY5kqtB8HCZi8EvLAgehqs7dL94TW5hIfPz/e/nBkPwkKwvxR8/njNn+i1uFhYyNZXVVcHD4HTBHzmSlZV+WX7PnsmO6KoQPCTrwS8u5sKFJNmxIzfckAxriT6Ch0stLmZtLUmuvz433pgIHgapO4y/uEQveBistu0X6p56qv/kZS/L7t39TtVDInhI22Y0yl/+ktOn+09uuGGAS/QRPGR9xe7o0Y3gb7ppgsO5igQPffBLS33w27fnVa9KMqhnznQG9x+Cf163YvfHP+bcuSTZubOf4QUPg7W01E/18/P9DD+wE/gIHroVuyTHj/ef7NyZ66/P2prgYato2xe5c0UX/DPP5M9/7j/Zs6d/wtzwCJ4h6n7jNjX1YranuvizmYvBdztbDW96j+AZoK728+dz7NiLr/b48Zw4kSSjUf+0meGt2EXwDE03Xz/9dD72sbz73Tl6NPl/dqXr/vHEiZw5k6bJ7OzQnjZzKcEzLN30/tRT+e538+tf5+DB/gfuL3xs3x0EHDvWv52Z6Wd4h/Twb29qKuNxXve6fPWrmZnJz3+ee+5J275Q8N2KXdvmySf7t3NzWVhIBA9bQ7dc99GP5hOfSNPkG9/I/ff3d8a/wJ+fPdsHn+SWW5Jh7UV/KcEzON0ltfE4n/1s7rwzST73ufz4x5me/vuT+S7skyc3gu+O54dK8AxRt8I+P5+vfS2veU2Wl3PXXfnlL9M0/QYX67rgn302S0v9J7fddm2Hem0JnoHqFuoWFvLAA9m1KydO5PDhFzovP3kyp05lZiYZevDTkx4AXDXdsf0dd+TQoTz6aD71qf6Qfjy+eJG9+wb40582Xgsetqxunv/gB/u3a2v9ffPrL7rwu73o19ayfXu/d+VQOaRn6LpHQ3Yn66NRfvrTPPhgRqOLC3grK1lcTJK1tdx2W/986KEyw1NA02R1NdPTeeihHDiQts3LX543vrFdXWumR+fP5/HH+z+85ZahPRD+CmZ4auiO3ffuzY4dWV7O3Xfn6NFMj5K18+ezuNgXfuut/dLdUAmeGrqT+TvuyLe+lZe8JL/9bT75yTx3LhmdPtn+9a99591F+KHedRPBU0h3Mn/nnfnCF9I0+cEP8pn7kjyxNJ6dzcxMmiY335wIHoajbfPxj+fgwSTN/ffnv77+yJHRhQvt8nLaNrt3T3p4V1nTDvjbDP5et2J/6lTe//48/HC2b/vfe374P827lhbb0aj50pdy442XXqcfGsFTTxf00lLe/ObM7cjh/87C/tWVdvm5Zn5+sKl3BE9JXfO/+U2uu25t7972wnh6dtChrxM8VXVbZay/aM+dz2i6mRklw70Kb9GOurpF++55kY8/3tx1sPnP/+h/TjfcWdCddhTWNP1k/sAD+d73snNnXvvavPe9A3xq7DozPLV1k/mHP5w3vCGnT+fuu/O7373I/a23IsFTW/cT2ptvzle+kj17cuxYDhzIs8/2B/yDI3jKm5rKykre9KZ8/vOZnc2vfpWPfKR/NPzgmhc8JDMzWVvLgQP59KeT5MEHc999OXs24/HAmndZDtZ1F+c/9KF85zvZuTMPP5zbb9/YM2MQrNLDum6t7stfzrlzecc7sm/f8G6yNcPDJbq7cZ57LnNzz/P51jeoby/4V3ULdXNzGzvY/+IXOXduMAt4gofLXdwDr23zxS/mLW/JvfdmPM7q6gCaFzw8n+58/rHHkuSb38yhQ/1K/hbnHB6eT3fSfuZM3ve+/Oxn2bUrDz2Ut751qy/aCx7+oaWlvP3tOXo0e/fmRz/K7benbbfu0v1WHTdcC+NxXvnKfPvbmZvLiRN58smtvlZvhod/qDu2//73s21b3vOerX5lXvBQyBb+roJrp3vg/NZnhodCzPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wdr3HHyF6iJ8QAAAABJRU5ErkJggg==", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKdUlEQVR4nO3dT4hdd93H8c+ZOzMxEybEUGxr4lTb2AoRuxAL4sL/Lor/QHBphFSkILqodSFVVyo8PlbcCFHRpyhuHltB8YGAovbZWBDURaVxbDpWmgSrbf5NEzMz9zyLcyaTxNan4iTXOd/Xa3XvzSx+Wbzv75zfOfd3mrZtA9QwNekBANeO4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FTE96APDvaG0t43GaJlNTmRrQtNi0bTvpMQDXiBkeNrRtmibjcQ4dyiOP5PWvz/79edvbJj2szWOGhw1d8KdP5wMfyE9+kqbJO9+Zw4cnPazNM6CzE/iXddPfqVM5fjxNk7bNK14x6TFtKsHDlc6cydJS/3r//kmOZNMJHq70zDNZXs7MTJLcemuyPvMPgOBhQ9MkyRNPbLzet2+S49l0gocNXeSLi0myspJdu/LSl052RJtM8HCZ1dX8/vdJMh7n1a/Otm2THtCmEjxc5m9/yx/+0L/ety/bt090NJtN8NDrVuZWVnLkSEajJNm3L7Ozyfqh/gAIHi7z9NM5e3Yj+AxoiT6ChyscOdLfcpP0d92Mx5Md0WYSPFzmscfStllZyfx8du9OBnQ8H8HDFbol+iQ33ZRduyY5kqtB8HCZi8EvLAgehqs7dL94TW5hIfPz/e/nBkPwkKwvxR8/njNn+i1uFhYyNZXVVcHD4HTBHzmSlZV+WX7PnsmO6KoQPCTrwS8u5sKFJNmxIzfckAxriT6Ch0stLmZtLUmuvz433pgIHgapO4y/uEQveBistu0X6p56qv/kZS/L7t39TtVDInhI22Y0yl/+ktOn+09uuGGAS/QRPGR9xe7o0Y3gb7ppgsO5igQPffBLS33w27fnVa9KMqhnznQG9x+Cf163YvfHP+bcuSTZubOf4QUPg7W01E/18/P9DD+wE/gIHroVuyTHj/ef7NyZ66/P2prgYato2xe5c0UX/DPP5M9/7j/Zs6d/wtzwCJ4h6n7jNjX1YranuvizmYvBdztbDW96j+AZoK728+dz7NiLr/b48Zw4kSSjUf+0meGt2EXwDE03Xz/9dD72sbz73Tl6NPl/dqXr/vHEiZw5k6bJ7OzQnjZzKcEzLN30/tRT+e538+tf5+DB/gfuL3xs3x0EHDvWv52Z6Wd4h/Twb29qKuNxXve6fPWrmZnJz3+ee+5J275Q8N2KXdvmySf7t3NzWVhIBA9bQ7dc99GP5hOfSNPkG9/I/ff3d8a/wJ+fPdsHn+SWW5Jh7UV/KcEzON0ltfE4n/1s7rwzST73ufz4x5me/vuT+S7skyc3gu+O54dK8AxRt8I+P5+vfS2veU2Wl3PXXfnlL9M0/QYX67rgn302S0v9J7fddm2Hem0JnoHqFuoWFvLAA9m1KydO5PDhFzovP3kyp05lZiYZevDTkx4AXDXdsf0dd+TQoTz6aD71qf6Qfjy+eJG9+wb40582Xgsetqxunv/gB/u3a2v9ffPrL7rwu73o19ayfXu/d+VQOaRn6LpHQ3Yn66NRfvrTPPhgRqOLC3grK1lcTJK1tdx2W/986KEyw1NA02R1NdPTeeihHDiQts3LX543vrFdXWumR+fP5/HH+z+85ZahPRD+CmZ4auiO3ffuzY4dWV7O3Xfn6NFMj5K18+ezuNgXfuut/dLdUAmeGrqT+TvuyLe+lZe8JL/9bT75yTx3LhmdPtn+9a99591F+KHedRPBU0h3Mn/nnfnCF9I0+cEP8pn7kjyxNJ6dzcxMmiY335wIHoajbfPxj+fgwSTN/ffnv77+yJHRhQvt8nLaNrt3T3p4V1nTDvjbDP5et2J/6lTe//48/HC2b/vfe374P827lhbb0aj50pdy442XXqcfGsFTTxf00lLe/ObM7cjh/87C/tWVdvm5Zn5+sKl3BE9JXfO/+U2uu25t7972wnh6dtChrxM8VXVbZay/aM+dz2i6mRklw70Kb9GOurpF++55kY8/3tx1sPnP/+h/TjfcWdCddhTWNP1k/sAD+d73snNnXvvavPe9A3xq7DozPLV1k/mHP5w3vCGnT+fuu/O7373I/a23IsFTW/cT2ptvzle+kj17cuxYDhzIs8/2B/yDI3jKm5rKykre9KZ8/vOZnc2vfpWPfKR/NPzgmhc8JDMzWVvLgQP59KeT5MEHc999OXs24/HAmndZDtZ1F+c/9KF85zvZuTMPP5zbb9/YM2MQrNLDum6t7stfzrlzecc7sm/f8G6yNcPDJbq7cZ57LnNzz/P51jeoby/4V3ULdXNzGzvY/+IXOXduMAt4gofLXdwDr23zxS/mLW/JvfdmPM7q6gCaFzw8n+58/rHHkuSb38yhQ/1K/hbnHB6eT3fSfuZM3ve+/Oxn2bUrDz2Ut751qy/aCx7+oaWlvP3tOXo0e/fmRz/K7benbbfu0v1WHTdcC+NxXvnKfPvbmZvLiRN58smtvlZvhod/qDu2//73s21b3vOerX5lXvBQyBb+roJrp3vg/NZnhodCzPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMh/wdr3HHyF6iJ8QAAAABJRU5ErkJggg==", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "7996457a61fd50f768c9cda7278a993e1b432ed505c74fa3dd21ae279829b1fe"} +{"episode": 32116, "episode_seed": 2070347179, "split": "train", "timestamp": "2025-09-15T23:17:08.484749", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2070347179, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "action": "('move', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "action": "('move', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "action": "('move', [0.1661862520330297, 3.369851398200266, -16.75778528799132])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "33ab3fd4cbb6a3a4d58075292a9c503e4b3eac3d5b322ed7e70c63dfe6794020"} +{"episode": 32117, "episode_seed": 2649845164, "split": "train", "timestamp": "2025-09-15T23:17:09.092254", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2649845164, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "action": "('move', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "action": "('move', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "action": "('move', [14.030521200104166, -31.546748517775352, -59.01843242540909])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAF4UlEQVR4nO3bS24c1xmA0b+6KSN6wIEgiaKn3oLW4H146g15Ad6PPQyQmScRIEswKYQPhKSqMyAhObISyYgl2vjOwcVFd6NQqB58dauq0ctutxugYXPTBwB8OoKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jg4TdY19ntbvog/g/L7k99+HATLi9nXWdZZmaW5R0v/rD2bvoA4E/j8nJ+/nnu3Zs7d/7XZrvdm6uAX8d/s6cDwcP7retsNvPjj/P113N6Onfvzt0768P7r/b3Nw8PNo8eLY8ezetx//4fd5EXPLzf1Yr99On88MOcnV19tplZZmZZlr29uRq3bl3Pf7336vGjdf+L7eMvNvv78/jxvJ4fPJi9vdluZ7O5nj8lwcOHevbsde1XlpnZ7ebiYi4u/mPLf8z2b3/fvnMn2+08fLDbf7juH2z2Hy/7+3NwMPfvz1dfzZdfXl9KfDwe2sH7XXX4/ffz3Xfz7Nnu5GQ5Pp6Tkzk+fjPeav4tm+1sNzMzu92s66zr2xt8++18881cXMytWx/rW4wVHj7E1ar75Mk8eTJXC/v5+bx8OS9fztHRO+bDw+v58HCOjnaHL9bTf8366vou4C1/uT3rq7l9+1N8EcHDh1rXubycmdlu57PPrh/R/bctT0/n5ORqXk6Ol5PjOTlbDg/n+fN58eLNeP7T+s+jV09/2pydvfsW4Pflkh5+s6toXv/89su3y/JBj+IuL+f8/Hpcnq/Hp8vBwfL559d7+HgED7+z10n98nRw9WJZZrO5yR/tBA834J3ZfYITgXt4uAE3tcj78wyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwECJ4CBE8hAgeQgQPIYKHEMFDiOAhRPAQIngIETyECB5CBA8hgocQwUOI4CFE8BAieAgRPIQIHkIEDyGChxDBQ4jgIUTwEPJvs/nhb6Et2L8AAAAASUVORK5CYII=", "image_next": "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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": "d6eb19b6db446670d641f867931aaf605df8b393f541229286f84eec9160a4de"} +{"episode": 32118, "episode_seed": 2379568723, "split": "train", "timestamp": "2025-09-15T23:17:09.696612", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2379568723, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "action": "('move', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "action": "('move', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "action": "('move', [-1.998603812376749, -3.052278059418651, -39.39075540220088])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "e6d64c351fa6cb297c00ecd75df811e482675bf6d885dc70e561007946a706d8"} +{"episode": 32119, "episode_seed": 1457348521, "split": "train", "timestamp": "2025-09-15T23:17:10.304559", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1457348521, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "action": "('move', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKgUlEQVR4nO3dSYxU1QKH8a+6q9EWfAaJCAEVRUVi2GlUICFxQ9SNiXEjDjgkEE0wjhtjVFigC4KzRKOu1I2BOEQCDjHR6ErRhcpkKyi2ChEaVMCuqvsWt2za4b1nfHZfqP/3W1ZqcWrx9bn33HNu14qiQFKGrqoHIGn0GLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4KYjBS0EMXgpi8FIQg5eCGLwUxOClIAYvBTF4BSkKGg1ararHUZ1aURRVj0EaDUVBrVb1IKrmDK8OVxSUk1qtxo4d3HQT777b/jxQveoBSCOlKGi16O4G2LePxx/nkUfYsYNNm3jjjdAJ30t6daZGg3odYGCAtWu59142bQKo12k0ePZZFi489J0cYT9XAVotmk16eigKXnuNhx7i9dcBenoYHKTR4NxzOfpowBleOsI1m+1r+Lff5skneeEFgJ4eGg2KgunTWbyYa69lwgQv6aUj1vB6+/q4/37WrGHXLrq7qdVoNOjt5Y47uOIKZswAEi/mSwavI9vwlbmBAVauZNUqvvsOoKuLVouuLq6+mjvvZOZMgEaDri66Uh9PGbyOYEMT9Z49vPQS99zDtm3w68rcmDHMncvSpcyZ0/5+2X8yg9cRqdWi1aJe5+BB1q3jgQd47z34dWUOOP98bryRq65qfz/zjv2PDF5HnqGJff16nnqKF1+EYanPmsX113PDDYwdS7NJV5epH2LwOmIMn6U/+YQVK1i9moGB9g18s8n48dxyCwsWcNppELwy918YvI4A5fbY8vb7hx9YvpznnqO/H6C7u/0obtEilixpL8IPDlKvO7H/CYPXYa0oaDYP7Zl7/nmWLftN6kcdxYUXsnQp55zT/v7Qnwb9kcHr8NVsAnR38+OPrFvHsmV8/DEMu12fPZtbb+Wyy9rfd2XufzJ4HY6GT+xr17JqFS+/DDBmDL/8AnDuuVxzDYsWUa/TalGrmfpfYvA67AxN1B98wMqVrF7N/v3tsFstJk/m5pu58kqmTPnNrhv9FQavw8XQqXXg229Ztow1a+jvb8/erRY9PSxZwuLFnH46uDL3txi8qjf8An7fPp54ghUr+P57GLYyd9FFLF3KrFlA+x1Vrsz9DQavijUa7SMue/awdi333dc+uF6uzHV3M3s2d93F/Pnt77s99v9h8KrM8In9lVd49FHWr4dhK3MXXMB113HDDe0vE3mC/Z9l8KrG0ET9zjs89hgvvth+a8XQwfVyJ/wJJ3gB/08yeFWgXIffto2lS3nlFXbubPfcanH00dx2GwsXujI3IgxeFWg2eeABHnyQnTvh14PrY8Zw+eXcfXd7e2yzSa3mxP4P82yBRlU5vxQFX3/Nzp309rJ/Pz09zJnz+4PrPl0fCc7wGm3lWZdNmzjvPAYGmDuXxYtZsABcmRt5Bq8KlPfwzzzDV19x++2MHev22FFi8KrG8IMuHlwfNQavypQ74X0jzWjy76qq5MrcKPOhhyrjxD76DF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeCmIwUtBDF4KYvBSEIOXghi8FMTgpSAGLwUxeAmKgmaToqh6HCOuVgT8SEklZ3hlKye8nTtZvZrNm2k0qh7QyDJ4ZWu1ADZsYMECLrmEL7449GEnMnhl6+oC2LqVAwcYN47e3qoHNLIMXtlqNVotNm+mVmPGDI4/vv1hhzJ4BStv4PfvZ+tWioJTT+WYYygKg5c614EDbNwIMG0aQLNZ6WhGlsEr3k8/8eWX1GpMnlz1UEacwSteeT0/dWo7+M69nsfgFa1su6+PVotx45g06dCHHape9QCkqs2bx8MPM2ECEydChwfv1lopiJf00q+HZwJ4Sa9sBw6weze9vRx7bNVDGQ3O8EpV3sy+9RannMKll9LXB528i75k8EpVtr1lC4OD9Pdz3HFVD2g0GLyyffYZwIknMnEizWb7LE3n6vCfJ/1H5SX9p58CnHIKdP71PAavUEVBvc7Bg/T3A5x1FnT4E/iSwStSOb1//jl797YPxmLwUqcqg+/r48cfOfZYzjwTDF7qVOXt+ocf8vPPAGecQVF0/IodbrxRqO5ugIsvptHg4EF6exPeUY176ZVr6M025dO4gOt5DF7pOvqFVn/U+Tct0p8rd9En1Y7BK1H53ybef5/LL2fBAvburXpAo8fgladcov/kE958kxdeCFmuK7lKrzzl47dvvqFeZ948xo6tekCjxxleYcpNtY0G27fTaDB9evsRXQaDV5jyAn7XLrZtA5gxI2rdzuAVadcutm8HmDkTIs7JlQxeYYZm+P5+ajVOPrnqAY0qg1ekHTsYHGTSJMaNg4hjMyVX6RWmXKKfMIFZszj7bP71r6oHNKrcWisFcYZXnqJgcJBaje7uhCOxwznDS0Gy/rwpXTm9bd7M/PksX86330LQMzkMXok++oj163n6aXbvBqL20hu8kpSP3zZupKuLadM48cRDH2YweOXZuJFWi6lTGT/eF2BIHa0o2LiRWo0pU6jV2sv1MXwspzB797JhA8BJJ1U9lAoYvMIccwyvvsqWLcydC1DPSsDn8FIQ7+GVJ3iSM3jlSVql+x2Dl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8FMXgpiMFLQQxeCmLwUhCDl4IYvBTE4KUgBi8F+Td89MjDTH53+wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "action": "('move', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "action": "('move', [18.73032322422871, -105.41311022606855, -42.76501072800291])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d0b173d3a4091a791756afb28ba024c516cc6858a9cf19ef36217fc5f2e4ad65"} +{"episode": 32120, "episode_seed": 3180340435, "split": "train", "timestamp": "2025-09-15T23:17:11.251566", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3180340435, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "action": "('move', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "action": "('move', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "action": "('move', [-13.711551442180825, -4.0657951388024225, -20.01381771680491])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "ab37d30192016857b68c984615475e8a0ab2d3e9fcca76fb242d2683de11e3e3"} +{"episode": 32121, "episode_seed": 1261551819, "split": "train", "timestamp": "2025-09-15T23:17:11.860715", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1261551819, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "action": "('move', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKzElEQVR4nO3ce2hW9QPH8c9z2YohbQ1Gl5GBhEjJKLQS6q/CeQkNk6SskEaU6JTaSiqmy02blWg1ccEoMEISsysuU6OCjQI1o4ZRJJFLtJZGC0due3b645zfs/1+2A/a7bl83q8/5/PHcee8n+/lnLNYEAQC4CGe6QMAMHEIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4YPwNDmb6CCLJTB8AkNeCQEGgeLaMrNlyHEAeGhyMaj9xQkGQ6aORCB4YL2Hq8bi2bNGiRWprk6RUKrMHRfAjF07WgAsIAsViOn1a99+v2lp9+aVaWvTXX4rHM3vRsIYfofCEhgYHs2eNhiwQbtEdPKjaWn3zjSTdcYc2b1ZBgaSh6yYTYgGD1Eh1dKikRNddJ0kDA0okMnsqkWlBEKWeSOjIEc2bp+5uTZqk2lrV1SmZFYMrwY/Qn39q6lT19Ki+Xvfeq6uukqSBgSw5rZhwYe2JhAYHFYspFlNNjT7+WC+8oMrK6ANZMCAQ/L8WTuCrq7V9uyQFgSoq9OijWrpUF13EUG8pvaj74gvNmhW13d2tREKlpVmSeoil578WiykI9PPP0aZdYaG+/lpVVVq4UPv2KZmMPgAXYe29vVqzRnfdpd27oyugrEylpdGAnzUY4UfozBm9+67Wr1dXlyQlEkqlVFys+fPV0KBrrpEUZZ9NpxtjKj10d3aqulqffSZJc+Zo377oX7PpkZsQwY/Kr7/q+efV2qqeHsXj0ZZNSYlWrdJjj+nSSyX28/JVWPvgoHbuVE2NuruVTKqqShs2qKws0wf3jwh+hIaP3p2dWrdO+/fr3DklkxoYkKQpU9TQoAULdMkl0QNXiUQmDxhj75df1NAQ7eVceaUaG1VVJWXL/twFEfxopU/uO++ouVmffCJJhYXq65Ok+fNVXa158ySpvz9a4SO3hYv2kyd1zz1qb5ek22/Xc89pxozsfyQjqw8uJ4QbNKmUFi3SBx+opUXTpqmvT7GYCgrU1qY779SyZTpyRAUF7OfluPTDlalUdBNO0pNPas8ezZihgYEsr12M8GMofRP+xx+1Y4c2bdL589F4HgQqL9fSpXr6aZWURD8R+3k55H9m6amUEgkdO6afformb+FPsh7Bj6VwqA+z/+471ddrz55o0y58aWLKFNXV6b77VFgo5cxFYi99nvbv17p1euUVXX/90Ow9K3fj/wnBj73h67gDB/TMM/r8cwXB0H7eLbeosVG33qqCgmgamCNXi6Vw5nbunLZuVVOTentVWamPPopusIcjf+5M1bjQxt7w7/3Zs9XerpdeUkVFVHsyqY4O3Xabli/X4cNKJhWPq78/s4eMC0lP2L79Vg88oLVr1durigqtWCEp6jwez6HaxQg/3tLTva4utbaqpUW//aZkMrqWysr00ENauVLl5azqs0x60b5rl+rq9MMPkrR0qZqaNHlyZg9tNAh+3AWBBgaiNyO/+krbt6u1VZIKCqKBffp0PfywVq0a+jzZZ1h4Ds6eVWOjWlp0/ryKi7Vhgx55JFqG5ew7UgQ/QdLP3gwMqL1ddXXq6JAULexjMc2cqY0bNXv20OdZ2GdA+HsPd+nOnNHNN+v4cd10k7Zt0403Dr0Sl7MIfkKlt3sHB/Xaa9q0ScePS8OyX7JEa9fyjn2GDB+6w1P13ns6cEAbN6q4OD8WXQQ/0YZfNn/8oWef1Ztv6sQJxWLR+F9UpMcf17JlmjJF4h37CdPfr4ICnTypHTu0cmVUeDrvfFloEXzGpCftR49q2za9/nq01A8X9tdeqxUr9OCDKipiqB9n6e/gTz/VmjU6dEhLlmjnzqHfeB4trvLnf5Jzwj9n2N+vG27Qq6+qrU1z5kS1Fxbq2LHoIfw9e4besefLeeylb6Rv2aK779ahQ4rHNW1aVHvePSPBCJ95qVR0N7enR21tqqv7r4V9UZEqK9XYqOnTpRx7rCtHnDql1av11luSNHmympu1cGGmj2m8EHxWGL7729OjrVv18ss6e1b6z8s5F1+s1atVU6PLLos+zwx/tIJAfX1qb9fy5dFt9gUL1Nysq6/O9JGNI4LPIsP3877/Xo2Nev999fQomVQqFb2BU1+vxYtVWprZI8194YOxXV2aOVPd3Sop0RNP6Kmnor9pkb8zKILPRulLbu9etbRo715p2Dv2s2bp7bd1xRWZPMJ8EP6WN2/W7t1av15z5+bHjbf/j+CzVPr5vPPntWuXXnxRR48qkVA8rqlTdfCgLr+cif2ohUup06dVXm5y/5Pgs1r6Ijx1Sm+8oaYm/f67PvxQc+fm98RzwnnULoLPfsP38zo7dfiwFi/WpElSns89J4rZbQ+Czw2M5xgTBJ9LDDaVML4s1i15g9QxSkwTASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNG/gaf7/FxAKQcCAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "action": "('move', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "action": "('move', [5.649386752918114, 0.11759008701446638, -37.92309342922592])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "611f998ca018f787308d9b8cf623e83536734777ee9f9aa436befcd10c204a82"} +{"episode": 32122, "episode_seed": 1764607052, "split": "train", "timestamp": "2025-09-15T23:17:12.463272", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1764607052, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "action": "('move', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "action": "('move', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "action": "('move', [-3.815237320182577, -3.9346140098433633, 58.06847784416402])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d3464f697f50a605846858d6544082ee6bdd12367f962a48deacf1822a709b54"} +{"episode": 32123, "episode_seed": 3969781323, "split": "train", "timestamp": "2025-09-15T23:17:13.416038", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3969781323, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "action": "('move', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJuklEQVR4nO3dT4ic9R3H8c88M5ut1Jg/Bqx4CCIShFIPFqEKprWiSClFbwqSuykNBaEWIdBTjAGNCoK9NOBF8OrBP4GKhZZavIioLQoKuSim+WfWtJuZ6eEZ12S7s6KZzezO9/Uih0kyhx8h7/3+nt88M9MZDocBamimvQDg8hE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPCXoN/P+fPTXgR8C71pL2DDGgzS7SZJv5+mSacz7QXBNzPhv6umyYEDefbZdLvpdDIYTHtB8M06w+Fw2mvYaIbDdDp5+eX88pdJ8tBDeeKJ/OAH014WfDMT/ttrd++7dmX37iR54YXs3p1XXkm/Hz89Wd8E/50Mh7nxxhw9mv37s2VL/vWv3HtvnnkmnU6Gw9EvWH8E/520Yfd6+cMf8uKLufnmNE127rzob13Vs/64hr8058+n18uxY3nzzTz44Giwnz6dLVuSr672Yd0Q/CXr90evzw0G6XTS6WTfvnzwQf74x9HMlz3rhuAnYTAYbeB7vbz2Wu65J0l27syBA3nggdET2p8FMFWu4SehadLrpdvNcJif/SyHDuXqq/PJJ3nooezdm+PH0zSO8VgPTPi18be/5ZFH8te/Jsktt+Tgwfz85/b2TJ0JvwYGg/zkJ3nllTzySObn8/bb+dWvcvDg6PQepkfwa6Bp0u9n8+YcOpSXXsoPf5izZ7O4eNFzlM802NKvmcEgw2G63Xz8cV59NXv25HvfW/4EJ3lcXoJfS+3tN+2Ldkn6/SQ5fDj/+EeeeirXXjs622/ss7hMBL/22rO6wSBNkw8+yO7d+eyz7NqVQ4dGb79p796BtWe2rL12096e2O3Ykb17s2VL/vnP3Hdffve7fP55er3lV/iwNkz4y2jpZbk33sijj+bvf0+S227LgQO5447pLo0iBH95DYfp99Pr5dNP8/jjOXw4SXbsyG9/m9//fvTjwMv1rBlb+sur00mvl34/11yTJ5/MSy/l+uvz+ef56KOLnuaddqwNE35Klsb4xx/n4ME8+mh27vz6lbw4yWNNCH6qLty9t8f4R4/m9dfzm9/kuus0z8QJftraq/pOJ91ujh3L3Xfn/fdz663Zvz+/+MXoCS7pmRDX8NPWXtU3TQaDbN6c++/P/HzeeisPPpjHHsv58+7AZ4JM+PXn6NHs25f33kuSn/40Tz+dH/1o2mtiRpjw60n7w/euu/KXv2TPnvR6eeON3Hlnnnsui4vmPJdO8OvJ0uvw27fnyJE8/3xuuCHHj+dPf8rCgr09l86Wfl1qP+i6afLuu3nyyTz8cH78Y6d3XDrBr2NLL8v5+jomRPDr29JH4sIkCH7ds5NnchzarXtqZ3IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwa9mOMxwOO1FwOT0pr2Ader8+SRpmnQ6014KTE5naIRBGSb8coNBmiZHjuTDD3PiRG66Kb/+dYZDo55ZYMIvt7iYubncfHPeeSdJbr89f/5z5uY0zyxwaLeym27Kpk2Zm8vcXM6eTeL0jlkg+OXaMf797+e//83iYs6cGQUPM0DwK9u2bfRgYUHwzA7BL9dO+K1bRw/OnrWlZ3YIfmXbtqVpkuTLL7OwkAiemSD45ZYmfLebJAsL+eKL6a4IJkbwK9u+fTThXcMzSwS/sq1bR8EPh67hmR2CX+7CLX3bvC09M0PwK1s6tIvgmSGCX66d8G3wg0HyVfCNfyo2Pv+LVzAcZn4+mzaNfnv6dJI0jct4NjzBj7V0s93p0xkMvHOGWSD4sbZvHz04cyb/+c9UlwITIvixLpzwgmc2CH6s/5/wruHZ6AQ/lgnP7BH8WBcGf+7cVJcCEyL4sZa29CY8M0PwY7UTvmly5sxowruGZ6MT/FhLwff7JjwzQvBjtVv6pY/BgBkg+LGWruHz1d21brZjoxP8WFu3fv34xIlE8Gx8gh+r/Vz69g1zJ09OeTEwEYIfq9vN9u0XBW/Cs9EJfgVt2N1utm4dBX/qlNfkmAWCH6tpvr7Z7sSJ0RdIw4Ym+LG63YuCX1xM3HvDBif4sS4M/tSp9PtTXQ1MguDHaq/hWydP2tIzCwQ/VqczmvCdTk6eNOGZBYJfTTvhm8ahHTNC8CtrD+eW3j+zsCB4ZoHgV7O0pU98wxyzQPArayd8u6Vvg//3v6e4HJgMwa/myiuTr+IXPDNA8Ktpv3ymPZ/3hjlmgOBXMz+fzZu9YY7ZIfjVzM9ny5bRlv748WmvBi6Z4FczN5errho9brf0sKEJfmXttfqmTdm8efQngmcGCH417Za+5ZSeGdAZesPneMNhzp0b3WPX6+WKK6a9ILg0godCbOmhEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0L+B3SXNWtORXK6AAAAAElFTkSuQmCC", "image_next": "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", "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', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "action": "('move', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "action": "('move', [0.7826719478185713, 4.388440474671389, 16.931665378221624])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "a76047221a3715a9eed9815b76576c6753011d619662caa7f85d6da439f9382c"} +{"episode": 32124, "episode_seed": 695574365, "split": "train", "timestamp": "2025-09-15T23:17:14.022514", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 695574365, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "action": "('move', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "action": "('move', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "action": "('move', [9.6618627248952, 1.6582544768295548, 33.6805877884218])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHaklEQVR4nO3b3W4U5x3H8f+sHV5SSEvEa5AqTKEqpQGnVrFBzTm9hlxAbif3kIvIcVopphBUAwml1IBSIRIZHKE2Jbx45+nBOjYQB7WNwODf56M98s7MPj74zjMzz27XWisgw2C9BwC8OIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIIKHIOPrPQB4Lvq+hsOqqsGgBoPquvUe0Muha62t9xjguVtaqq5bfcUyw7OhtFZdV8NhffBBzc62d39fxye7qanavn3tjUdyTgFmeDaUUfB37tTpP9T5T2t8vN54o3bsqJ/vH56Y6aZnBjMztW/fGjsOh6uT/wbuX/BsKH1fg0FduFCTk2u8Oz5WmzbXgQN18mTNzNT0dO3b27Zt77ZsWd2mteXr/9Gd/waLX/BsKKMZ/vLlev/9+vrrunWr7t7tV1ajBoOqqr5f2bx/a0+bPjn2uxP1zmTb/1bt2dft3r16tL6vpaXl8jfGkz/Bs9GMmq+qmzfrs8/axbn+ytWx+fm6Nt9ufdlW4n/tteq6evhwZb9+xxvt7cmxY8fqyJF2+HB36FBNTKwetu+rH1b3XfyvKMGzAbVWw2GNP/ZIenGxblxvN27Ulb91cxfqwly7dq2qlqfs8fHqBvVoNf7atq0mJmpiog4fHB7/7eD48e7Ysac/YsUrNPMLng2r75dfg8ET8f/7Xt1eqIWFdvlyd+ZM/Xm2n7tYj38Jrese77lt3tzt2lU7d7ZDB4czp8amp7upqdq69emPa215r5f5zl/wROj75SBH38N5/O/fflt379bcXM3O1uyfli5eHty7N7h///Fb/RWt67otW+onr/dHftVOvTt26mRNTdXPflpbX3/6sH2/XP5Ldf0veOI8eyp+8KDOn69z52p2tq5erdu3687tuv9g9clfN6j2xLmgvX20zZwanDhRvzna9u6tnbu6bdtexD/yfxA8POuG/PPPa+4v7cJcP3997MaNun6t/fNfTzz5Gy3jfWc4cWAw+U43OVm/PNwfPNgd/EX35psv0SQveHjaD13/f/FF/f1qPz9ff70yuHSpLl2qO3dW3920qVqrR49WD7Nnd/fro92HH9b+/atrB+tL8PCDRtmPbsjHx5+If3Gxvvqqbt6subn69Fyd+WR488vu+wv+W7fW4uIaT/jWi+Dhv7ISf2s1Pv7EdH3/fn3zTVtY6M6erdnZ9skfh9f/MfZoqXv0sE6fro8+Wr9Bf4/g4X82imZ0ChgbW2ODhYU6e7Y+/rgmJ+u9917w6J5F8PBjvUK/uvPzWPix1ux8dPFvHR5YNy/TyQd4zgQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQf4DMM+BdKAt02kAAAAASUVORK5CYII=", "image_next": "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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": "3e0bb22b56ca90a30258043dea7db4f3213173a3706d6e80698753a0c8adac08"} +{"episode": 32125, "episode_seed": 3341646797, "split": "train", "timestamp": "2025-09-15T23:17:14.627063", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3341646797, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "action": "('move', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "action": "('move', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "action": "('move', [-40.20353929744838, -72.24647684656252, -38.21968811029251])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "aa70a0104171db835b2016e39b8e6977b0affaeda0ec783c9b71dd21c7f28307"} +{"episode": 32126, "episode_seed": 580023596, "split": "train", "timestamp": "2025-09-15T23:17:15.232531", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 580023596, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "action": "('move', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "action": "('move', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIV0lEQVR4nO3dv2td9R/H8fdN0sbBIUNFC7YIRqiLf4CDQweHItJoqQ4dqqI4iU4q4iSIIA4KioO/Fu1Q2k4i+KOKoosg4g/wB4jWoFjUVvEHNrn3OJz7Tdrab9q0yb03eT0eQ7jncJr7Scnznt8nnaZpCsgwNuwBAIMjeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgyMewBwAhpmpVffmyU1qqCZx2anz+nxTqdM7w+48xz+Q5rQqdZ7mcaBOh2q2mqafover3TJ9s5p704bbLbrcnJmp4e9g9zEmt41o+mqU6nfv+9Zmaq2z0lwoUU22KrFr/+v8nT5i+98H8nq6rXqyuvrPfeG8CPfq4Ez3ozN1eHDw97EP9z0UXDHsGpRul4Aqw7c3PDHsGprOFZbzZurJ07q9utTqc6nRob6784efK0mWec/99lTl7s5OX/O9l+7fVq06Zh/3ecykE71pumqbm5M7RKCZ4EJ/+On/X10gss94Oj06kNG5b3T1aV4FmHzuOXOmQTwD4869Cq1Nue2RsfX9OfDdbwcA7aU/xrn9NycDa9XnU69eOP9fjj9ddfi1fYrEE26WFJbe1HjtTtt9dbb9W339bTTw97TOfPGh6W1G7JX3ppbdlSVfXMM/Xgg8Md0YWwDw9n0+7AnzhRe/bU/v21YUM9+mjde291OjU+PuzBLY/g4Rz0ejU2VseP1y231OuvV1UdOFA33VTz8zWxlvaL19JYYWjGxqppamqqXnqpbryxquqKK/qfAmvqAL41PJyztu3Z2Wqa2rKlH3ytpZN2goflWIi8ffHrr/XTT3X11YvzR9saGCKMkPYmuPn5Ghur2dnasaOuv76+/LLGxqrbHfbgzk7wsEzt7a9NUx9/XJ9+WrOztWtXff99jY+PfvOCh+Vrz8bdcEM9/3xt3FiffVY331w//FDj49XrDXtwSxE8nJdOp7rduvXWevLJqqoPP6y9e+v48f5x+1EleDhf4+M1P193312PPVZV9cYbdddd9fffwx7WUgQPF2B8vJqm7r+/HnqoOp3av7/uu6+/hz+SXHgDF2Ch7UceqZ9/roMHa9u2/vz2rpsROz/vPDxcsPbCm+PH65NP6rrrFueMHsHDiup2+8fwv/uuNm/uP9FuZOK3Dw8rpGn6F+RU1VNP1fbtdeDA6KTeEjyskIVH0h89Wq+8Ut98U3feWa+91j+BNxoEDyunvfD2kkvq2Wdrerr+/LP27Kn33++fwBsB9uFhpbW78R98UDMzdfRoXX55vfpqXXPN4u798FjDw0pr1+fXXlv79tXUVP9i+y++GIWL7QUPq2Bioubna/v2evHFmpysr7+u3bvrq6/62/zDI3hYHRMT1e3Wzp313HM1OVmbNtXUVP9CneHtR9uHh9XU5v3223XVVbV16+Iz8IZ0ZY7gYbCOHauJibr44mqawT8kxyY9rL6FzfjPP6/du+uBB6rXG8q2vZtnYPUt3Etz4EC9+WYdPlyXXVYPP9xvfoDb9jbpYYCOHas77qhDh2piop54ou65Z8BPvxQ8DEq7Mv/ll9q1q955pzqdeuGF2rt3kH/NQvAwQO36/MiRmpmpjz6qycnat69mZga2Ye+gHQxQ+zTrrVvr5Zdrerr++aduu60OHerv5A/g/QfwHsCi9gLbbdvq4MHavLl++61OnKiqwRyxt0kPw9DeSPPuu/XHH7Vjx8DeVvAwJMP461SCh+Fp6xvgeXgX3sDwDPxyegftIIjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIci/Z9YPwcwEhX0AAAAASUVORK5CYII=", "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', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "action": "('move', [3.599586901321731, -4.407782746982702, -48.02813904565898])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "5c5af8c189e7fff41bb9742701e1c7d8739d2008491f1c83dc2d98c89a524fdc"} +{"episode": 32127, "episode_seed": 305399814, "split": "train", "timestamp": "2025-09-15T23:17:16.181558", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 305399814, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "action": "('move', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "action": "('move', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "action": "('move', [-1.4370969472545536, -0.4382100130108273, 8.350491776777497])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "3ce312bf6365ac3e4dde0faacf9ff2b067e7da724941956ecd8f00eb834c1388"} +{"episode": 32128, "episode_seed": 629146173, "split": "train", "timestamp": "2025-09-15T23:17:16.791430", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 629146173, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "action": "('move', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKUUlEQVR4nO3db8iddR3H8c8595krIaiQVthEUCmC1MAHkaH9URbK5iRCoidC4hTMmCkphH+iJs1VEwwVER8Kg6IHFaO/jG1Y02EODJSe5BaUzNsptuZ9nz89uM4yMqvVuc+5zv19vR7eT+7ryfv8ftfv97uuqzMajQLU0J31BQDTI3goRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FLJKgx+NZn0F0EarNPhOJ5E9/LNVF/xolNEoS0vJyeyBk3qzvoBJGw7T7ea++/L667nuupx11qwvCFpkdQU/GGRhIfv25TvfyeJi3vWubN2a0chQD41VNKUfjdLt5qWXcscdWVzMBz6Qq69OTOzhDaso+CSdTh5+OPv2Jcm2bTn77AyHs74maJHOaHUsZTfz9oMHc9FFSbJlSx58cPxHIzyctLru4UejfOQjGQ5z223pdNy9wz9ZFSP8aJThMJ1Out28/HJeeCEXXKB2eLNVEfzfNXtyidrhX5rzRbtmTe7FF/O1r+XZZ9PtZjjMYKB2+JdWRfDf+16++c1cfnmOHEm3Ox7kgTeZ5zaGw/R62bMnO3cmyYYNed/7Ehvv8Jbm9h6+uezjx7NhQ/bvz3nnZe/erFvn7h3+jXke4Tud3Hdf9u/P29+ee+/NunXjtXrgLcxn8M0w/utfZ8eOJPn857NxY5aX1Q7/3hxO6ZvaX3stF1+cQ4fyoQ9l9+6sX//GnhzwFuawkOYX6tChvPpqktx1V9avT7+vdviP5nCEb7biut0891x+/OPccouFOvgvzWHwjb9P4M3k4b82P6k0P0xLS9mzJ4uL6XbT75vJwymZt1qeeiqbN+eyy/Lss+n11A6nZH4ejx2Ncvx4tm7NsWN59dWsXeultHCq5mSEbG7Ut23LgQM5/fRs355zz81gYISHUzIPi3bNqyn37s2GDfnrX/PFL+aRR8Y/ARbn4VS0PvjmtOzLL+eKK/Kb3+Scc8Zn5hPDO5yqdjfTfFUiyfbtOXgwa9Zkx47xI3Fqh1PX7myGwyws5NChPP54+v1ce202b7bxDv+zdk/pmxG+281Pf5r778+jj+a973WuDv5n7Q4+J+/hFQ6T0O658dGj46X45k11wP+nlcE3k44TJ7JpU665JocP24GDiWhl8P1+ktx1V554Irt25eDBJD4aBf+/9gXf72fNmvzyl3nkkSS57rps3pzBIL35OQUMbdWyRbvmlfKLi7nyyhw4kPPOy759ec97rMzDRLRshG8W5HfuzIED6Xbz7W+rHSaoTcE3J2r27s0DDyTJDTdk40a1wwS1ZkrfhP3KK7n88jz5ZD784fzkJznzzPHBG2ASWrMS1gzj73hHvvCFLC7m7rvz/vePn5MDJqQ1I/w/OnYsp52W0083n4fJal/wno2BFdO+4HPypJ2xHSatNffw/0jqsDJMnqEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHyRsMWvrWVcHDhPX7WVhIt5sWPpgmeJik4TC9Xn73uxw5kk6ndc0LHiameSHb44/nqqtyxx05ceKNDyC3hOBhMpr3M91zT669Nr//fXbtyq5drXuZS8suB+bcRz+apaX0ellaype/nOeea9fEXvAwGU3YGzbkG99Iv5/TTsuxY7nxxiwvt2hiL3iYpNEoN92UT3wiS0tZWMivfpVvfSvdblt26Vr5TjuYW82r1Z95JldckT//OZ1O1q7N7t35+MfT78/+C4lGeJikhYX0+7nggnz1qxmNMhzmL3/JV76SP/2pFeO84GHCmuZvvDGbNmU4zNq1efLJbN8+XrGf7ZTalB4mr9miO3w4F188PoEzHOYHP8jVV8/4c0pGeJi8ZsV+/fp897vpdMaF3357jhyZ8ZFbwcOKaJr/7Gdzww1ZXk6vl+efz623zvirC6b0sFKathYX85nP5KmnsmZNlpfz8MO5/vqZfVFN8LCCmjv2n/88mzfn+PF0OjnjjPzsZzn//Nk0b0oPK6hZsb/sstx2W0aj9Hp58cXcckuWl5PMYJdO8LCymlW6W2/Npz89Pn73i19k27YkGQymvYBnSg8rrpnY//a3+dSn8sor6Xbzznfm+9/PJZdMe2JvhIcVt7CQ4TAXXpht2zIcZjTK0aO5+eYsLk77WTrBwzR0uxkMsmVLPve5DAbp9fLMM/n616e9S2dKD1PSHL974YVcckn+8If0eun388Mf5qqrpjexN8LDlDQHbM86Kzt35m1vG4/tX/pS/vjH6T1XI3iYnqb5jRuzZcv4+N3hw7n55rz++vjefqUJHqanWaLrdHL77bnwwvT7WbMmP/pRHnssvd40Bnn38DBtzS7dnj3ZtCmvvZbRKO9+d3bvzkUXrfizdEZ4mLbm+N2ll2br1vED8y+9lKefTlb+7J3gYQZ6vYxGufPOXHppTpxIp2OVHla7bjcPPZR169LtTmlDXvAwG80C3gc/mB07pvcaHMHDLA0GueaafPKTOXp0Gv/OKj3MUnPGbv/+dDr52MdW/Mid4GHGmp356TClhxmb5vMzgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FDI3wANIK7Ba/RhLQAAAABJRU5ErkJggg==", "image_next": "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", "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', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "action": "('move', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "action": "('move', [-8.825866469328531, 2.0634740860138234, -22.80275019852054])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d82edf1d5fb59557e3b606d34b4136eb22fe9f035fe36cf7cab5e6a7b9f0d45c"} +{"episode": 32129, "episode_seed": 147977059, "split": "train", "timestamp": "2025-09-15T23:17:17.404241", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 147977059, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [17.26560749943874, -4.780275603639342, 40.376570119133])", "action": "('move', [17.26560749943874, -4.780275603639342, 40.376570119133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.26560749943874, -4.780275603639342, 40.376570119133])", "action": "('move', [17.26560749943874, -4.780275603639342, 40.376570119133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [17.26560749943874, -4.780275603639342, 40.376570119133])", "action": "('move', [17.26560749943874, -4.780275603639342, 40.376570119133])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "81fc304cb275f9336bb39f4cff8047924fde6b0dc11195eb16ee85fa9f33a472"} +{"episode": 32130, "episode_seed": 2454112047, "split": "train", "timestamp": "2025-09-15T23:17:18.353422", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2454112047, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "action": "('move', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "action": "('move', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "action": "('move', [10.525168072275447, -13.93960988657348, -51.5855411936858])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "fca29a14da4addfdc4fdc9e71342aafef4b2621737e769c8be37cf0e33f85fd5"} +{"episode": 32131, "episode_seed": 2340283787, "split": "train", "timestamp": "2025-09-15T23:17:18.963843", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2340283787, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "action": "('move', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "action": "('move', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKbUlEQVR4nO3d/4tVZQLH8c9zzr2jOTNpI+QQEiqRje4PKzhiFIR9MYKCopooCvzBMkboy6/7J7QUthFLG4is/VAu+S1ENipzh2i3siaZzKKWDKVsJUGdcfTee5794ZzZubNN6e6Oe7nn8379pv7yCPfNc85znuecEGMUAA9JqwcA4P+H4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBP8TMbZ6BMClQvBNvvtOGzZo40YdPixJWdbqAQEzLEQmNEkxKgR9+aWWLlWSaO9erV2rel2VSqtHBswkZvgmnZ1KEqWp6vVWDwW4JAi+SZIoSVSr6dy5Vg8FuCQIvkmaqqtLks6fl1i9QwkRfJMQ1N0tiRkeZUXwTdJU3d0KoZjhgdIh+CZJotmzFaNGR4s/AuXCb7pJmqq3V11duuwySQqh1QMCZhjP4ZtkmY4f1+ioFiwobuaBciF4wAiX9IARto42iVEjI/r4Yy1dqlWrWLRD+fCbbhKjtmzRunV6/vniUTz3OygXgm+SP5bL99I3Gq0eDTDzCH6qzk5lmcbGVKu1eijAzCP4qTo7FaPGxjgwh1Ii+An57fqcOZJ09izBo5QIfsK0wbNoh3Ih+KnyTbWjo9zDo5QIfkI+mefn4Ws1VulRSmy8mZAflVm2TM89p6uvVm/v5F8CZcFeesAIl/RTxah6nbU6lBXBTxWCKhWNjfFSepQSwU/IC//iC61apWXLdODA5F8CZcGi3VSNho4c0Q8/6McfWz0UYOYxw0/V0aGeHoWg8fFWDwWYedbBZ9lPHrdXq5o1a/I9ljyWQ7lYX9JP84aLanVys50IHmVjPcNv3aqNG3X8uGKcWJ6rVKYED5SL3QyfZUoSvfeeHn9cn32mGNXfr3XrVM9CIqlaVWenKhU+PoNSMp3he3p07Fixv2bHDp09q0pFUVK1qnpd9bq+/77FQwQuAbvgk0RZpr4+3XGHQlCaat8+vf++QqIsSh0dWrtW992n/v5WjxSYeY576fP/8UcfadUqpakaDT31lJ55RpWKJAVF1upQVo7B52LUmjXav19Joq4uDQ9r8eLiDr/4Z7JH6dhd0ufynJ98UpLSVKdOaft2SU21A2VkOsPnwZ88qRtu0OHDCkGLF2l4OOvqTvTufu3aqWuu0WOPqVpt9UiBmWQ6w0uKUVdcoUcfVYxKEn39d+3Z3YhRcd+72rRJmzfzlXiUj2nwIRQ7bW6/XVddpUZDIeh3mxSCwrx5SlNp4sLe8goIZWUavFSsz197re6+u7jC/+QTDR2S5nU0soZOn+ZsLMrHN3hJMapS0T33aN48xajxTL//gzRvVhaDzpxhbkf5WAefpopRN9+s1asVo2LU0D6N/LVSUWz84yQzPMrHbi99sxBUq6la1cCA3nlHtfPJ0cP605Jf/+q3v4nn5xanaHgajxIxfSz3L/nEfuaMVq/W559L0orV2vsXLagqi0qIHeVifUkvKQTFqMsv18CAJKWpDv4t+/Mfa6rXIp+iQOm4B6+JO/nBQXV3K8vUiMm2HdVTY9UkZdkOZUPwkhSCrrxSDz1UrNvv2aORkWLyB8qE4KWJzTUbNkxupd28udiBB5QJv+hJy5dr7Vo1GkpTbdumI0ckNtqhXAhemthp29Gh9euLXXenT2vr1lYPC5hpBD/F9derv1/1ukLQyy/zcnqUDcEXkkT1uhYs0MCAQlCS6OhRvfKKQuBT8SgPgp+U76m7887i1TcxassWzsiiVAh+Un5+7rrrdNttxZ38wYN6+22lqer1Vg8OmAkEP0W+0/bBBzV3riSdPq3XXpOm/UYN0Ib4IU9RqSjLdOONWrmymOTfekufflrc4QPtjuD/Xf6y+vXrlaZKEh07pt27eYctSsL9tNy08k/N9fXpq68kafly7d2rhQuLPTlA+2KGn16aanCw2Fo/MqKhIYmj8Wh/BD+NPOwHHtD8+cX7LV96SefOKUnYaYv2RvA/q7dXjzyiLFOaamhIBw60ekDA/4zgp5dlCkEPP1zM6lmmF1+UuKpHmyP46eWH4fv6dO+9xVX966/rm2+KB/VAmyL46eXn5+bM0f33q6NDSaJz5/TCC5NfsADaEcH/rHySv+UWrVxZnJ/ZtUsnTvAmHLQxgv9ZSaJGQz09uusuSQpB336rV19l1x3aGMH/knwyHxjQokWKUbWatm/X+LgqFSZ5tCWC/yX5ObklS3TrrQpBIeiDD/TmmxySR7si+AvI99IODqqzUyFodFQ7d+r8ec7PoS3xs72APOwVK4rvzyWJ3nhDhw4Vd/hAeyH4C8s33jz9tGJUmurECe3ZI4mdtmg/nJa7WOPj6u/XyIgkLVyoDz9Uby/HZtFmmOEv1uzZeuIJdXbqppv07LOaP19ipy3aDTP8Rcln8pMnNTysNWtaPRrgv0Xw/7H8XA1zO9pRpdUDaCf5yRkeyKF9McMDRpitACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAkX8CIYZrMS1Z4Q0AAAAASUVORK5CYII=", "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', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "action": "('move', [-0.43270313332083515, 9.242157577930914, -20.584689737725114])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "45943c2e5ee7c25eb35c65d5e3429d59b1c888e657e91adf7a30649d212cb18c"} +{"episode": 32132, "episode_seed": 1519472647, "split": "train", "timestamp": "2025-09-15T23:17:19.570371", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1519472647, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "action": "('move', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "action": "('move', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKoUlEQVR4nO3dTawdZR3H8d+cc9paCq21FJCi6W0JVtAmblxgoqwgJoQNaBQMG1mw0SUxxhiNJu58idHExIQF8WVFYhpJTNjBAhMkBGhpFWlpAjZKlSKtlJ4XFzO9VIkv8Z57z3j+n0+6OGc2dxb9nmfmmZlnmtlsFqCGwaJ3ANg4godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FDJa9A6sv8kkk0maJps2LXpXYMGa2Wy26H0ANshSH9K3v2W/+EXuuCNf/3omk7c3QklLHfx0miQvvphDh/K1r+Wppxa9Q7BgSx1802Q2y1135aMfTZJvfrPbCFUtdfCDQcbjvO99ueeebN6cRx7JY48lF0d+qGfZJ+1ms0ynee213HZbfvObfOQjeeKJjEZpGkM9BS37Zbm26l27ct99OXMm996bpslgqY9r4F9b9hG+NZvl/PmcPp09e5JkOtU8NdUIftVs5kieysoMdLNZV/urr+bQobz6arcFKqkUfFv7Zz+bO+7IL3/ZXbSDSsoE3x7Jb9qUwSDDYb797Zw5k8FA85RSKfjpNDt25EtfypYteeaZ/Pzn3XYoo9Kk3epJ++c+l5/9LHv35plnsm2bGXvqqPR/vR3kB4Pcf3927MiJE/n+9zMYuPGOOioFn2Q0ymSSj388t9+eJD/6UU6fNntHHcWCb81meeCBbN+ekyfz5S+naTIeL3qfYCMs+6217zQcZjrNwYO588688EI+/eluIxRQadLuUrNZzp5Nkssv7xbAMnVHAVWDX7V6X727bimg8LDWXqUbDPLsszl0KG+9tegdgnVXO/imya9/nVtvzZ135tixbiMsr9rBJ9m6NZddlgsX8r3vLXqHYN0VDn44zHicgwdz//1pmjz0UJ56yjV5llvh4JPu4ZnPfCYf/nAuXMg3vpE4qmeZlQ++XeXy3nszGuVXv8qjj2Yw6Fawh6VTO/gko1Gm03z+8zlwIH/7W77zne6yvHGeZVQ++Pba+7vfnS9+MUkeeSQ//alBnmVV/sab1myW8Tg335wPfShf/WpWVix0yVIS/CXOns22bUkyHmcwEDzLR/AXrd5a+84PsCwMYhddOlH38MN5/PEF1u5HmHUi+ItWF8D64Q/zqU/lvvty7ly3fWP3IhbaY90I/qJ2AawkO3dm69YcO5af/GQhe3HuXJ580rM8rAvBX6JdG+Puu3PbbWmafOtbOXduY0b49qfmiSeyspK9e/OJT+T55xPH9syb4C+xOsh/4QvZti3Hj+e7392Ya/Jt2ONxTpzIn/6Uc+fy3HPr/TepSPD/qF3l8pZb8slPJsmPf5xTp97+IVg37Un77t3d2y6THDmyrn+QogT/Du3C1V/5SrZuzUsv5Qc/2IClrFfv91tZ6bYcPryuf5CiBP8OTZOmycGDufvuTKd58ME8+2yGww04sN+165+DN13PfAn+X2iXsl5ZyQMPZN++JOt6413TZDLJaNQF37728s9/7nYE5qXeMtX/jXZgveGGHD2azZs35m9OpxkO8/73d1/Pn8/zz+djH3O/H/NkhP+3Nqr2XPyRue66bN2a2SxvvdVdmYM5EnxftGcM116ba69NkskkR48mDumZK8H3xeoIf8013ZZ2hPeqS+ZI8D0ymWTnzrz3vd3XV15JkuHQIM/cCL4v2on6JNdd1205cyYvvdQttAlzIfgeaY/qr7++O59/7bX87neJ03jmR/A90ga/f3+2b0+Sv/41L76YCJ75EXyPtAP7/v3ZsSNJxuO88EJi3o75EXyPtA/p7NvXBZ/k5MkkTuOZG8H3SDtvNxzm6qu7LadO5fXXMxoJnvkQfL+0p/EHDnRfT53Kyy8vcHdYNoLvlzb4D34ww2GSvPxyF7wRnrkQfL+083YHDmTz5jRN3nijC968HXMh+D668cZs2tR9buftPDDHXAi+X9rV8a++Ojt3dofxJ05kOjVvx3wIvqduvLH7cPx4txIGrJ3ge+qmm7oPv/+9pW+YG8H3VDvCD4d55ZX85S+J4JkHwfdUO8IPhxmP84c/JObtmAfB99S+fd2LcJIcO5as7yKaVOE/UU+961254YaMx0ly9Gj3AdZI8L3THrpv2fL2RP3Rowt5ky1LSPA9NRp1d9QPBjlyJG++uegdYikIvo/atejb4EejvP56Tp9e9D6xFATfR+2h+/793eemsUY98yH4/tq1K+95Ty5cyGzWvT3alTnWSPD9tX17rr+++3zkiBk75kDwfdSO5Dt3dq+xTPLcc4Z35kDwfdQ+M7dlS3ca3zQ5eTJnzy56t/j/J/ieau+02bs3SQaDnD+f3/42cSmetRF8T7UH8Hv2ZDjMZJLJJIcPJ4JnbQTfU23w11yTPXuSZDLprswJnrUQfE+tvj26DT7J4cOZzQTPmgi+v6bTXHll97r4JMePp2m8lII1EXxPNU3G4wyHb4/wZ87kj38UPGsi+P5qT+NXVrqvb7zRPRgveP5ngu+vNvh9+3LFFWmanD3rZbKsleD7qw1+797s3p2myZtv5umnEy+lYA0E31/t6Xp7O/10mg98IFddlXiEhjVoZg4Qe+/JJzOdZvfuXHllrrhi0XvD/zPB9137PDzMxWjRO8B/0DSZTrvs23/wPzPCQyEm7aAQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5OwITZlWanTsRAAAAAElFTkSuQmCC", "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', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "action": "('move', [-81.78768644326725, 58.057515816753, 18.09799686890121])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKoUlEQVR4nO3dTawdZR3H8d+cc9paCq21FJCi6W0JVtAmblxgoqwgJoQNaBQMG1mw0SUxxhiNJu58idHExIQF8WVFYhpJTNjBAhMkBGhpFWlpAjZKlSKtlJ4XFzO9VIkv8Z57z3j+n0+6OGc2dxb9nmfmmZlnmtlsFqCGwaJ3ANg4godCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FDJa9A6sv8kkk0maJps2LXpXYMGa2Wy26H0ANshSH9K3v2W/+EXuuCNf/3omk7c3QklLHfx0miQvvphDh/K1r+Wppxa9Q7BgSx1802Q2y1135aMfTZJvfrPbCFUtdfCDQcbjvO99ueeebN6cRx7JY48lF0d+qGfZJ+1ms0ynee213HZbfvObfOQjeeKJjEZpGkM9BS37Zbm26l27ct99OXMm996bpslgqY9r4F9b9hG+NZvl/PmcPp09e5JkOtU8NdUIftVs5kieysoMdLNZV/urr+bQobz6arcFKqkUfFv7Zz+bO+7IL3/ZXbSDSsoE3x7Jb9qUwSDDYb797Zw5k8FA85RSKfjpNDt25EtfypYteeaZ/Pzn3XYoo9Kk3epJ++c+l5/9LHv35plnsm2bGXvqqPR/vR3kB4Pcf3927MiJE/n+9zMYuPGOOioFn2Q0ymSSj388t9+eJD/6UU6fNntHHcWCb81meeCBbN+ekyfz5S+naTIeL3qfYCMs+6217zQcZjrNwYO588688EI+/eluIxRQadLuUrNZzp5Nkssv7xbAMnVHAVWDX7V6X727bimg8LDWXqUbDPLsszl0KG+9tegdgnVXO/imya9/nVtvzZ135tixbiMsr9rBJ9m6NZddlgsX8r3vLXqHYN0VDn44zHicgwdz//1pmjz0UJ56yjV5llvh4JPu4ZnPfCYf/nAuXMg3vpE4qmeZlQ++XeXy3nszGuVXv8qjj2Yw6Fawh6VTO/gko1Gm03z+8zlwIH/7W77zne6yvHGeZVQ++Pba+7vfnS9+MUkeeSQ//alBnmVV/sab1myW8Tg335wPfShf/WpWVix0yVIS/CXOns22bUkyHmcwEDzLR/AXrd5a+84PsCwMYhddOlH38MN5/PEF1u5HmHUi+ItWF8D64Q/zqU/lvvty7ly3fWP3IhbaY90I/qJ2AawkO3dm69YcO5af/GQhe3HuXJ580rM8rAvBX6JdG+Puu3PbbWmafOtbOXduY0b49qfmiSeyspK9e/OJT+T55xPH9syb4C+xOsh/4QvZti3Hj+e7392Ya/Jt2ONxTpzIn/6Uc+fy3HPr/TepSPD/qF3l8pZb8slPJsmPf5xTp97+IVg37Un77t3d2y6THDmyrn+QogT/Du3C1V/5SrZuzUsv5Qc/2IClrFfv91tZ6bYcPryuf5CiBP8OTZOmycGDufvuTKd58ME8+2yGww04sN+165+DN13PfAn+X2iXsl5ZyQMPZN++JOt6413TZDLJaNQF37728s9/7nYE5qXeMtX/jXZgveGGHD2azZs35m9OpxkO8/73d1/Pn8/zz+djH3O/H/NkhP+3Nqr2XPyRue66bN2a2SxvvdVdmYM5EnxftGcM116ba69NkskkR48mDumZK8H3xeoIf8013ZZ2hPeqS+ZI8D0ymWTnzrz3vd3XV15JkuHQIM/cCL4v2on6JNdd1205cyYvvdQttAlzIfgeaY/qr7++O59/7bX87neJ03jmR/A90ga/f3+2b0+Sv/41L76YCJ75EXyPtAP7/v3ZsSNJxuO88EJi3o75EXyPtA/p7NvXBZ/k5MkkTuOZG8H3SDtvNxzm6qu7LadO5fXXMxoJnvkQfL+0p/EHDnRfT53Kyy8vcHdYNoLvlzb4D34ww2GSvPxyF7wRnrkQfL+083YHDmTz5jRN3nijC968HXMh+D668cZs2tR9buftPDDHXAi+X9rV8a++Ojt3dofxJ05kOjVvx3wIvqduvLH7cPx4txIGrJ3ge+qmm7oPv/+9pW+YG8H3VDvCD4d55ZX85S+J4JkHwfdUO8IPhxmP84c/JObtmAfB99S+fd2LcJIcO5as7yKaVOE/UU+961254YaMx0ly9Gj3AdZI8L3THrpv2fL2RP3Rowt5ky1LSPA9NRp1d9QPBjlyJG++uegdYikIvo/atejb4EejvP56Tp9e9D6xFATfR+2h+/793eemsUY98yH4/tq1K+95Ty5cyGzWvT3alTnWSPD9tX17rr+++3zkiBk75kDwfdSO5Dt3dq+xTPLcc4Z35kDwfdQ+M7dlS3ca3zQ5eTJnzy56t/j/J/ieau+02bs3SQaDnD+f3/42cSmetRF8T7UH8Hv2ZDjMZJLJJIcPJ4JnbQTfU23w11yTPXuSZDLprswJnrUQfE+tvj26DT7J4cOZzQTPmgi+v6bTXHll97r4JMePp2m8lII1EXxPNU3G4wyHb4/wZ87kj38UPGsi+P5qT+NXVrqvb7zRPRgveP5ngu+vNvh9+3LFFWmanD3rZbKsleD7qw1+797s3p2myZtv5umnEy+lYA0E31/t6Xp7O/10mg98IFddlXiEhjVoZg4Qe+/JJzOdZvfuXHllrrhi0XvD/zPB9137PDzMxWjRO8B/0DSZTrvs23/wPzPCQyEm7aAQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5OwITZlWanTsRAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "1e0b78e102ecd8c72d0dc301c36000ceacde124683ef4ca1aff1a84a26b720ab"} +{"episode": 32133, "episode_seed": 522920035, "split": "train", "timestamp": "2025-09-15T23:17:20.174152", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 522920035, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "action": "('move', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "action": "('move', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "action": "('move', [-5.12430975067294, -5.180871257358874, -24.40746352820432])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIoElEQVR4nO3dT4hd5R3H4d85997RhYgboaliEruRFARBJau0KqjVthYrIkihDe1CsS3GhRDFboRqJVUTxcQSrZRCGooWGqnYBFGhBtpdXQTiIqAtiisLis7983Zxp3GZWCe5k3yfZzXM6jDM5/ze98x7z3SttQIy9Iu+AOD0ETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETxrTmuLvoKzl+BZW6bT6rqVr2ezhV7K2UjwrCGTSQ0G9cEHtX17vfRS9X1Np4u+prPLcNEXAFVVrdVsVsNh/ePv7b776o03u8suqyuuqA0bajar3mBaJX6QLF5r1XU1GNTvfze75buzN97szj23jhypbdvq44+r6+zqV40Jz4LNB/jycm3f3nbtrOXxYGmpPv20Xbqxtm7tRqOq+nxXz5fUNTdPFmT+q9d1dexY+8mP28FDfd9Xa9Vau+6b0988N9y4cdGXeNaxpGcx5k/ju65efbW2bOkOHupHo5rNajSqn/+0vfLX4caNVvKrT/AswPxp/GfL9dhjdfPN9e67tbRU43G76KuzPc/WEzv74XBlY8/qsqTndJtv2v/9r3bfttq3v+v76vuaTGrz5tnOJ7urru6m0+p7tZ8SJjynz3y49H299bd2442zfftrvoyfTGrr1nrxxf6qq7vxWO2nkOA5TWazlYz37G433dz98+3BaKkbj2s0art21e7dtW5dTSY1Gqn9FLKk55RrrabTGg7rPx+1++9vu/d0Vd1oVONxfW3jZO/ewTeu6aocsDkdBM+pdbz2t9+un90zfe31fjDoqmo6bbd8p3buqkvWd/Phb7CfBu6onELzaTIc1r599e2b22uvD0ajbjqtms1+8VDt/2N3yXqP6E4rJ+04VeZ/V2utHnigduyozz5bWcav+0p76qm69fsry/jBYNEXmsSSntXXWrVWfV/vvVd33VUHDqzM8Om0tmxpzzxTmzYZ7IthSc8qm3+Ive/r0KF27bXtwIFaWlr55j331Msvd2pfIMGzmuYlT6f15OOzm25sR4925yzV8nJdeGE9/XTt2lXnnbeyjFf7QljSs2omkxoO6/3364EH2nPPtap+NKrxuF15Ze3Y0W3ZUtOpHfuCCZ7VMY/58Fvt3m11+HA3GtVkUq3N7ryzHn2kv+hita8JlvR8WfP9+WBQv31+dsv32uHD3Tnn1Hhcw2F75Jdt797+ootXPi3DwpnwfCnzuf3JJ/XQQ/XEE2067UZLNV6uDRtmu3f3N9xQ5QjdWiJ4/k/zt9ANBnX0aN19dx08uPIcrrV2/XXTZ/cO16///BUXrBFuvPw/ZrNqrQaDOvDndv31dfBgjUbVWg2Hte3eduAvK7U7MLvWCJ4v7PgS/eGH2+23t2PH2tJSjce1bl09/3zt+HU/GHh9xRplSc8XcHyJ/sH77e672ot/6o8fodu8ufbsqcsvX3l3lU372uQsPSfr+GA/fLh+9IPpkXcGw2FNJlVVW384e/zJ/vzzyxG6Nc59mJMyPxs/mdSePXXdtbMj7wyXlrrJpF1wQXvqqbb3+f788x2hOwOY8JzYfEP+4Yf14IPt2Werql9aquXl+vqm2a5d/TXXdvW/OwJrnD08JzCv/aOP6o476pVXajSq6axm07rttvarR2vjpd38RC1nBPdkTqDrVl4Xv2lTVdV4XLPp7OGH64UXOrWfcUx4Tmz+uG42q1tvrUOHav8f2rdumr+myoHZM4zgOSnz5o8dq76vSy5xhO5MJXhO1vGzNA7VnLlsvzhZx/9ts9rPXILnC5D6mc5TeggieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyX8JiBZ7Th2WxAAAAAElFTkSuQmCC", "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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", "image_prev": "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", "image_next": "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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": "79efb18bbe8012bde837281b4f30f4c8bbbf5874d602adbc5abf2ff503e29f1b"} +{"episode": 32134, "episode_seed": 1369860463, "split": "train", "timestamp": "2025-09-15T23:17:21.129152", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1369860463, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "action": "('move', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "action": "('move', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "action": "('move', [41.86492715356815, 10.679316070323308, 29.048212255446856])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "1adce8242bf43d66f2dcf4654e143abb14a4aff7a5ef545dac38e4da4ea594fc"} +{"episode": 32135, "episode_seed": 1454716126, "split": "train", "timestamp": "2025-09-15T23:17:21.733297", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1454716126, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "action": "('move', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "action": "('move', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "action": "('move', [8.968391267692448, -41.890326733227695, -4.258120519744911])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "92cba81d1c34dba0286bcc36f544ec098dd5622a642335dcc82deae9e7363f9d"} +{"episode": 32136, "episode_seed": 2551737802, "split": "train", "timestamp": "2025-09-15T23:17:22.343243", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2551737802, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "action": "('move', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "action": "('move', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "action": "('move', [2.9155462292692356, 4.043464587573207, 57.852751434867024])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d03af7682e802fc4c22669e1810c33886a78a64a0642c9bae8269bde7e99cf24"} +{"episode": 32137, "episode_seed": 1040243962, "split": "train", "timestamp": "2025-09-15T23:17:23.290393", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1040243962, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "action": "('move', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "action": "('move', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKZUlEQVR4nO3dzY9ddeHH8c88lEqLJLW2BRujRYWUPlBTU0000mIgxJBYXQiYRhfsdGniwj9B3bhyZxQjJjaRTaM2sRRrMA2WhJSSKg9FnTS0iCi1lNR5+i3uZWZaHn5KkJnO5/VKczO5PXfmzuJ9zvd875nvGZmdnQ3QYXSx3wDw7hE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFkCwc/OZmoqMzOZnV3stwLL3MjskspsejojIxkZSTJ8BN45i3qEH+xrJibywx/m+PFMT2dsLKOj881ftvHgH/B2jS/mD5+ZydhYDh/Offdl/fqsWpUbbsiOHdmxI7fckhtvzFVXZfS1XdLcLmBu8D/YLxgIwH9sUYMfG0uSF1/M+9+fc+fywgv585/z0EPD/129Or//fbZvz+xsJifz0ktZuTLXXjt81ZzZ2fnmF34NvM4SOIefnMxzz+XJJ3PiRE6cyOnTOXMmzz+fCxdy9mzWr0+Sw4fzjW9k7drs2JEtW7JpUzZsyIYNue66Swqfns709PCkYPAILLAEgr/M1FSeeSZPP51//CN3353x8YyN5Qc/yNe/fslm11+fG27Ixz6W++7LZz6TmZn5wf+c6enEyB/mLY3gB6flg8cVKy6Jc1DyqVM5ejTPPJOTJ/PHP+aJJ4YxJ/nJT7JvX6anMzOTr3wla9dm+/bcfHNuvnk4Oni9hb+yHQFNlkbwC82VP4j/Mhcu5OWX8/LLmZjIY4/l9Ol861v54AeT5Iknsn37cLP3vjfve1/WrRvGf+ed2bLlTc/wnflTY+kF/4ZmZoZT+peVOWh18HjyZL773Rw7luefz7/+lYsX5zf73vfyzW9mZiaTk/nNb7JyZTZvzqpVWb06V131Lv8qsIiukODnDN7toPA3Oyz//e85fjwnTuT48Tz1VP72t3znO7nrriSZmMgnPpEXXsiKFdmyJVu3ZsuWfPGLuemmN54FgOVlUT+Wexve+iK8mZkkWbs2e/Zkz57hk2fPZvXq+X3ERz6S0dGcOZPHH8/jjyfJunW56abh9D4sa1da8G9tUOzg/H8wETAykg0b5jf4wAfy85/n9OlMTGRiIidO5Ny57No1/1pY1q60If3bMDPzpuP/ycmcP59rrnmD2UFYjgqCv8zcRwAjI5dftAfLXV/wC81dkw8dltc5/H9L6pQxUwVFBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBJ8ks7Pzq+DCMlb957Fz6+KMd//RID1Kj/CDBWwHC+GOj+f8+Rw9mu9/P88+m8QdK1m26g5tgwWvx8eHa9g99lgeeSSHDuXAgczM5JVX8u1vZ2rKmlcsTy1D+svWtjlzJg8+mEOH8uijmZhIMix858489FBWrnRzKpan5XyEHyxdNziSD+qdns4vf5kHHsixYzl1ariq9ejocISf5Oqr89JL2bhxuPIlLDPL8Aj/+qm4Cxfy1FP56U+zf3/OnLnknjRJVqzI+vX5whfy1a9m69ZcfbUVq1m2ltURfmZmeDuJwWq0Fy7k2Wdz5Eh+/OP84Q/DbRbGvGlTPv7x3Htv7ror73nPIrxheJctkyP8IPW5mbYnn8zRozl4MAcO5NVXk2R8fP7D9uuvz65d2bMne/fmQx8avsQCtjS44oNfGOqLL+bAgRw+nEceGX7ANjqa8fH8+9/Dje+4I3fckU9/Op/61PCZqamMjhrD0+LKC37hVNycQ4fywAN59NGcPDk8jI+NzV88d+ON2bcvn/tcNm/OmjXJayOCsTGp0+WKCX7Q+ezs/N1iJidz6lTuvz8PPpi//jWvvHLJ9qOjWbMme/dm377ccsuw8yRTUxkZyeio0TuNroDgB+feczeGungxExP57W9z//05cmS4zeAm8QMbN2bbttx7b770pVxzzfz3Gczn6ZxmSzr4y6binn46x47l17/OL36R8+eTS6fi1q7Nzp259dZ8+cv56Efnv4nZOJizFIMfDN3z2kdo587lV7/KkSM5fDgnTybJyEhWrJifivvsZ7NnT3bvzu7dw2cGIwLn53CZJRT84IauC/3ud9m/P0eP5vjx4dUy4+OZnh7uDjZtyt135/bbs21b1q1LTMXB/2cJBT8wO5u//CU/+1n2789zz+Wf/7x8g2uvzec/n699LTt25Lrrhk9OTSXJ2JihO7yVpRL89HTOns3DD+dHP8rDDw+vbF9o3bps3px9+7J37/B4PvdCo3f4Dy1+8IOf/+qr+eQnc+JE8tqp++AvW9asyZYtufXW3HNPtm69/FWO5/BfWfxr6UdGMj2dVauybVv+9KfhuhRJdu3K7t257bbcfvtwF7DwYC51eBsW/wifZGYmo6M5eDB33pkNG3LPPbnttuzcmY0bk2R2NlNTpuLgHbAkgh+4eDEHD2b79nz4w8NnJieH19s4nsM7YgkFv5CpOPhfWFrBDy65sbwU/I8sreCB/ymDZigieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCgieCjyf3xFqXHqEkv8AAAAAElFTkSuQmCC", "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', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "action": "('move', [-1.3856388763935683, 12.665042595198761, -30.756873607169286])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "0d08ad7f344c44f6d53b0eba95bf354a6bcc649da0aacef99eb1752445377638"} +{"episode": 32138, "episode_seed": 1971450624, "split": "train", "timestamp": "2025-09-15T23:17:23.899068", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1971450624, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "action": "('move', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "action": "('move', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "action": "('move', [-0.9921491415862675, -2.656174023804121, 38.76838649459012])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "6a93f22367445c85f51c5ca417330933d0369fe51255a2745e4d688ca87d0620"} +{"episode": 32139, "episode_seed": 3145851344, "split": "train", "timestamp": "2025-09-15T23:17:24.507783", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3145851344, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "action": "('move', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "action": "('move', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "action": "('move', [-6.60719031182801, -4.316678043301924, -3.8863690462522604])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHPklEQVR4nO3bz1Ic5R7H4V/3DGIS84cFhNRBQgIcLsCVK1cpd16h5RV4A96B5f5YJ4EcATXAWKckUP5JYKZdTAQcKM9GGY/f56lZUDPQ3VD1ed/ut5um67oCMrTTPgDg+ggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegvSnfQDXZzis0aia5s2rNdaRp+m6btrHMB3DYXXdm/irzr+Av7GIGX4c9mef1Rdf1NparazUo0e1uPi/f+qMsYC/h4jgxz79tD7+uG7cqFu36tateuedWlo8Wd/orW+06+u1vl4rK9W/8Pe4HPlo9GbsOPvUQMD/l4hT+tGo2rbef78+/3zik66qaZrq96rXr9nZevy4NjZq3P/GRi0tdW/P1ts3mtnZ6vUmN9t1dXpaVefrAq4L+IuLCH48LT95Ul9+WS9f1g8/jKqaqvM0x2t44wn8t4aPV2p1vbe6WmtrtbZa8ws1N1f37tXdu3Xz5uSOhsMaDif7NwTw1xER/NjBQe3s1Ne73e726Jtvm/1B++JFHezX/n73/eGoqr04BPRnqtfWcFSnJxOb6RYXm+XlevfdWl6upaXuwcLowT/a+4vN4mLNzU3udOLWgP6ZrqDgLzs8rMGgBgfdwf7o4Lvezk5tb9fubu38Z7g3qKrfnMT3Z6pt3szhF3RV3dy9dn6h7i/Uwv26Pz96+LBZedw8fFjLy/XgwbX+RvD7goIfn7Gfvfr9K27F//RTHR/X0cvu6Kjb2283N2trq54/r61/nz7fbrtLzyk1bXWjife6qrp5s7l9u27frjt3anH+9J8b7ep6u7ZW6+v16JFHAJiaoOAnnJVfv96B6/WuON/uunr9ul6/6n7+udn9up4+rc3NerZZT/813PmmffWqOTmpk5PxtN9dvCi4uI2qptermZl6662amakPPqhPPqm7d8/X/OF6BN2Wm3D5cnqi/6pq22qamp2t2dnm9p2aX6j33jv79t5oVF99VVtbtbVVz5+NNp+NXgz6R0d1fFzHx/Xjj+e7ql/X84bDOjqqoyOTPNORG/xlZ/1fOc9f1ra1ulqrq/Xhh1XVjv8xYW+vdndrvBywvd0NBs1gMF4pqO8PhycnbVWzsnLFCj9cg9xT+j/ExUWBrqu2veJ2/eFh7e/X/l734tvRd/9tt7aaJ0/qo4+mcbjEE/wfaaL/rqte74ohYPwgEFw/wf+5Jvqvqn7fQh1T4xr+z3Xl0iBMizPL62Z6Z4oED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0F+AfubYCHj6uTMAAAAAElFTkSuQmCC", "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": "3e2a4254e4aeafe6a024ce3341fb51348d190196f8dad7affb1fecdedf5601e4"} +{"episode": 32140, "episode_seed": 241829257, "split": "train", "timestamp": "2025-09-15T23:17:25.124772", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 241829257, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "action": "('move', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "action": "('move', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "action": "('move', [2.288175480324441, -2.9948147857849325, -58.023943814106055])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKuklEQVR4nO3dXcjWdx3H8c/14O1c2dQtDEKkLVHDFtGQGvSwAweDULRWDUY2iNqCog521MNR0ME2ImhB0hyU0UprNYQdVESNCbW2CEYObI1SrMV6MOV23g/X1cH/wrXowftBr+vv9/U68EA9+HHdvO////f7//6/qzMcDgPU0B33AIBLR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOD5d8PhS39ymRE8LzMYpNPJ9HQ6nczPj3s0LDfB85LhMN1ufvSj3Hxzfv3r9HqZmxv3mFhWgmdkOEynk5/8JHv35vHH85735Kmn0u9r/rIieJJkOBxN2r/4xZw8mampPPtsdu/OkSPp993bXz4ET5J0Oul0MhzmS1/K9u2ZmcmKFfnDH7JnT3760/R61vAuE52hnyQv9/zz2bMnR45kxYrMzuaqq3LwYHbsyGCQrgtEy/kB8jLz81m/Po88kptuyuxsVqzIqVPZsyeHD6fbzfy8S327CZ6Xae7er746Bw/mlltGzZ85kw98IIcOpdfTfLsJnn/X6WQwyLp1OXAgu3dndjb9fs6ezR135MCB9PsZDDTfVoLnP+h2R83v35/3vz9zc6PdOHfdlQceSK83WuGjdQTPf9brZTDImjV58MHs3Tt6MnfmTD72sXz5y0k030qC57/qdjMcZtWq7N+fO+/MYJBeLzMz+fjHc++9o9oHg3GPkoUQPP9LcxnvdnP//fnUpzI/nxUr0u3m7rvz+c+PFvA03yKC5/84f+t+77359KczO5tuN/1+Pve5fPazo//j3r4tbLzhgjQr851OvvCFfOYz6XbT62V2Np/8ZO67b3Tz3+mMe5T8P4LnQjVvzia5777cfXeS0as1H/1ovvIVzbeD4FmA80k3U/rm9n4wyN69+epXs3Kl7beTTvAszPnm9+/PJz6Rs2dHR2W8733Zty9XXZX5+fR64x4l/4XgWbDmXdpuN9/8Zu66a3Q8ztxcdu3K/v1Zu3b0r0wgwbMYw2Hm59Pv59ChfOhDmZ5Ov5/Z2dxySw4cyLp15vMTSvAsUvMEvtfL4cO57bacOTN6nfamm3LwYK6+2nx+EgmeJWlm7D/8Yd773vzjH6Pmb7wx3/te1q83n584fgOzJM2W+x078oMf5NWvHr1Oe+RIdu7MiROOwZw4gmepmidz73pXvv/9bNgwav4Xv8jOnXn2WUfiTRa39CyPubn0+3nyydx6a557brQnZ9u2fOc72brVfH5SCJ5l08zYn346u3fnt78dzeevvTYPP5zrr7duPxH81mXZNDP2bdty+HDe8IbMzmZqKr/7Xd797vzyl6ODdBgvwbOcmhn75s155JG8+c2ZmcnKlTl+PLt25fHH0+1mbs6rdeMkeJZZc9Dlddfl0KG89a05dy5TUzl5Mrfemh//2BremAme5dc0f+21eeihvPOdo6+1+OMfc/vtefRRx2COk+C5KJrmN27MQw/l5pszO5teL3/6Uz74wTz8cLpdC3jjIXgulmZPzmtek29/O7t2jfbev/BCbr893/rWuAdXleC5iJovq1mzJt/4xui466mpTE/nwx/Ovn2ZnbVuf6kJnouruc6vXp0HHsgdd2RmJqtWZXo6X/96Tp/2rO5SEzwXXbP39sorc//9ufPOnD2bLVuyb1/WrbMD71Kz045LpGn7xRdzzz3ZuTNvepO9d2MgeC6dfy3cm7Nj4XaKS+f8EffNyRlceq7wUIgrPBQieNqpOTqXBeqPewCwKNb3F0XwtEqz0D89nX37Mhxmz55s3Oj53oUTPC106lTuuScnT+YVr8hHPmLR/8KZw9NCzz+fkydzxRXZtCnxbdULIHhapbl1/9Wv0unkuuvy2tcmsTv3wvmkaKEnnshwmNe/Phs3JhbwFkDwtM1gkJ//PEk2bcrKlZmbE/yFEzxt8/e/5ze/SbebzZsTE/iFETzt0bT92GN58cVcc022bk1M4BfGYznao3nePjOTDRuyfr3gF8HLM7TN9HSeey6DQd74xnEPpX0ED4W4HaKdHIW3KObwtERzRNaRI3nmmWzZkhtvHPeAWknwtERzxvWDD+ZrX8vmzXnmGSdgLoLPizYYDkevx/z+95maytveNvpLFkjwtEET/PHjOXEiMzO54YbEjtrFEDxt0CzRPf10TpxIku3bE8EvhuBpgyb4o0dz+nTWrs22bYngF0PwtEEzgT92LEluuCFXXDHe4bSX4Jl4zYE2f/tbjh1Lp5Pt213bF03wtMQLL+TPf85wmLe8JbFEv0i21tIS8/M5fTpHj2br1qxZM+7RtJXgaYPhMPPz6dsntlSCh0L8yqQNTp3Kd7+ba67JO96RNWscRL9orvBMtmbD/NGj2bYtq1bl0Ufz9rf7rulFs0rPZGuu5MeOZTDIq16V1avHPaB2EzyTrflO+SeeSKeT6693LvUSCZ6JNzeXJ5/McJhNm7J2bQYDwS+a4Jl45869dBB94iD6pRA8E6xZUT52LH/9a1avHgXv0Isl8Nkx8R57LEk2bMiWLYngl8Rnx8Q7fjxXXpmNG/O615nAL5Hn8Ey8v/wlP/tZXvnK7NjhCfwSCZ7JZlPdsnJLz2Rrah8MMj8/7qFcDuylZ1KdP4h+bi7btzvlZlm4pWeynTuXJFNTbuyXheChEHN4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQfwJJ98t9fS8fVgAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "122b1f70cc6fd2a67d93469ecd129834e712f6ba3b8871bce5f369b67d59fe9b"} +{"episode": 32141, "episode_seed": 1286183144, "split": "train", "timestamp": "2025-09-15T23:17:26.098631", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1286183144, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "action": "('move', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "action": "('move', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "action": "('move', [18.98963467273443, -0.870838524874121, 28.50752452108611])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "56654ee271a3f9c724e1f9cdd6805df27512381bb24c07ea264f30d59eb1203b"} +{"episode": 32142, "episode_seed": 1459539905, "split": "train", "timestamp": "2025-09-15T23:17:26.716867", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1459539905, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "action": "('move', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "action": "('move', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "action": "('move', [6.598433432198963, -50.973504185188666, -31.954489231657817])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "ee72ffaf69647c033692a7f8c7ff1c03004cd7bcf27584919725bad157bca5a1"} +{"episode": 32143, "episode_seed": 961010551, "split": "train", "timestamp": "2025-09-15T23:17:27.323667", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 961010551, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "action": "('move', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI9ElEQVR4nO3dTahmdQHH8d/z3DtXB19AM7FUInB83YgYE+0kaaBchBkELSRCLVy0aBMuokULRdwaiVHpKnMajWijs3CV1D6JlkW1GBTUGcd5Xk6L85R7m3vOxO/zYRazmMWfy3yf//m/nOcuhmEI0GE59wCA6QgeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiuzPPYBWm02GIctllj5zmc5iGIa5xwBMxAw/kzfeyPvv584789nPZhiyWMw9ICp4npzc+Ej14IN54IG88EKSbDbzjogegp/WOJlvt7n22hwc5Mor5x4QXQQ/hwsXdn/2LamYlODnsF5nucz+fo4cmXsodBH8HFarnDmT9drqnYl5pJzD3l6+/vWcOZPbbktii57JOIefyXabzSbLZfb25h4KRQQPRazhoYg1/LTGc/gzZ/Lzn2ezyde+lmPH3LRjMoKf1tj2P/6RJ57Iep3bb8+xY9lureSZhuDnsN3m6qtz/nyuuGLuodDFGn4Oq1VWq2y33o1lYv7DzeG/tbtpx7QEP63xEHS12i3mx+Dt2DEVwc9hvd593Y2XZ5iW4OcwBu/lGSZnhpnDapXz55M4jWNirtbO4dy5/OtfWSxy4405OJh7NBQRPBSxhoci1vDTGk/j/vnPvPVWjh7Nvffat2NKZvhpjV9xc/p0HnoojzySd99N/nM4D4fPDD+H997LO+/k4MAuPRMzw89hvFd72WUu3jAxwc9hvEufWMAzMcHPYbVK8tFdepiK4Kc17s+t10l2vzrW190wIcHPYZzhx5fhbdEzIcHPYQx+XMYLngnZJZ7WeA5333354IPccEPiZXgm5S49FDHDz2Gz2f3aGefwTMsMD0Vs2k1rPJD78Y9z66357neT+AWyTMkj5bTGnfm//CV//Wuuv37u0VDHDD+TxcJvoWB6gp/D+DXV7tUyOcHPYVzJC57JCX4O4007wTM5wc9kby+XXz73IKgj+GmNF2nffTebzUcvycJUHMtNa8z7+PFcuJC77555MPRx024O772Xs2dzxRW56qq5h0IXwUMRa/g5DEO2W2/CMz0zPBQxw0MRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwUMRwTOdzSbr9dyD6LY/9wBosd1mb2/3l6WJZiZ+8ExhGLJc5uWX84tf7GofhrnHVMkMz6EbhgxDXn453/pWVqtceWUeemjuMbVaDD5pOUzDkMUif/pTPv/5bLdJcvRoXnklX/pS1uvsm3Gm5ZGeQzcMueuuPPJIkhwc5IMP8s1v5g9/yP5+Npu5B1fGDM+h226zWOTs2Xz723nppezvZ73OZz6T3/8+d96ZzWa3mccEBM8Uxof5t9/ON76R06d3zd92W373u9xyi3376QieiYxVnzmTr3wlf/xjjhzJapXPfS6vvppPfUrzExE80xmr/tvfcuJE3norBwe5cCFf/GJOncpVV+229zhUPlSZznKZ7TY335yTJ3PTTblwIfv7OX06Dz+cs2ezWOye/Dk8gmdSY/N33JFTp/LpT+9O5k6dyve+l/PnMwyaP1yCZ2rLZTab3HtvfvnLfOIT2W5zcJCf/Sw/+pFLeIdO8Mxgucx6nfvvz09+koODrFY5OMgzz+TppzV/uGzaMZvxBP655/Kd7yTJYpHFIs8+m0cftWl/WPxQmc3eXoYhjz6aJ59MksUim00eeyy/+tXuEYCLzgzPnMb/fYtFfvCDPPVUjhzJep2jR/Ob3+TECZfwLj7BM7NxZ36zyeOP5/nns7eXzSbXXZdXX80XvuAFm4tM8Mxvu80w5Pz5PPxwTp7cXby98cb89re55x7z/MUkeC4JY9XnzuWrX81rr+0u4d1xR155JbfeqvmLRvBcKsad+XfeyZe/nDffzGWX5cMPc/x4Tp1y2f6iETyXkPE6/d//nhMn8uc/757t778/L72Ua65x2f4i8JnJJWSxyDDkppty8mSOHct6nSNH8vrreeyxnD2bxMXb/5XgubSMp/G3354XX8zNN+8u4f361/n+97PZ7D4R+NgEzyVnucxqlePH89xz+eQnd83/9Kf54Q93/0DzH5s1PJeoccV+7txHE/sw5Oqr5x7W/znBQxGP9FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDk3/toGGd+hVZJAAAAAElFTkSuQmCC", "image_next": "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", "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', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "action": "('move', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "action": "('move', [-1.9061737025845364, 3.2975453905583705, -14.488073427723691])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "fa256cc1eb18a59e9ffc5749e714e772c57fdb6fa415548829e85fea3901b072"} +{"episode": 32144, "episode_seed": 2617915091, "split": "train", "timestamp": "2025-09-15T23:17:28.310599", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2617915091, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "action": "('move', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALEklEQVR4nO3dXYhU9R/H8c85M7uiu2AiEi1sF4tSKKhISmpmmRqmaULkQ0LYRfR0W1B0111EkRF2U1eaadCDpWgapJW1m630oGHEVoiBhoTK7srOzvl1cQ6r/39/bHec/nPOfN6vy3Evfhx88/3Nb86ciUIIAuAhbvQCAPz/EDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEPy1CUEhNHoRwGgRfK1C0PCwJEVRo5cCjBbB16RaVRSpXJakwcFGrwYYLYIfi5Hde6mkixf16qtavlx790rKpj2Qb+VGL6BQ0t37779r61a9845OnpSk9natXKlx4xQC23vkHMFf1UjDIejSJfX16bXXtGuXzp2TpPZ2zZ+vxx/XuHESb+ZRAFHgkPl/ShIlicrlbBsfRXrmGb3wgpJEkjo7tXixHntMCxY0dpnAmDDh/yYEVasqlxXHGhjQhAlZ8x0dShLNmqUVK7Rhg2bOlKQkURQx21EUTPgrjAxzSb/9pq1b9fPP2rJFHR0KQQMD2rZNy5apq0uSKhWVSoo59USREPzfnDihV17RgQP65RdJev55PfecKhW1tGR/UKkojlUqNXCNQG28t/QjZ3JJoqEh9fbqpZd04IAuXJCkiRO1apVWrpSkUinb6sfx5fKBonGd8NWqQsjO5KJIAwPasEG7d2f/Om2aVqzQk09q2rSGrhKoM78JP3L8LmloSOWykkQTJuj8eUlauFArVujhh3XDDZL4aB1NxmnCp190SY/Zenv1xhtqbdXLL6taVamk7m6dOKHVqzV5siQND6tUonY0GafgU4cO6fXX9dlnOn1apZK++kq33KIkuXzezvE7mlfzbun/azd+6ZL27dOWLerpUX+/JE2ZooceUkeHJEVRttXnTA5NrRkn/Mhxehxn2/Wvv9ajj6q3N/uD6dO1bp2eeCLbvQM2mm7CV6uSsjO5dMiHoPZ29fVJ0vLlWrNGmzdr/PhGLhJokCaa8Feeye3fr507tXat7r0326i/+aZaW7VxY/YH6eQHzDRR8KkdO7R9uz7/XOfP6+abdfy44vjymVy62+f4Ha6aYkuf9nzwoJ5+Wt9/nz2LoqtLmzdnf5C+mQ9BpVK22wcsNcX//nRcT5yoY8fU0qK5c/XII1q/Xu3t//GMGsBec23pn31Ws2frgQcavQ4gp5oo+CufTjNyegfgCk0UvPjiKvAPmit4AFfFvhcwQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwaOoQlClomq10esolCiE0Og1ANck/S8cRY1eRxEw4VE86VT/4Qc99ZQ++ECi9lEjeBRPkkjSJ5/oxRe1caNmztQ331x+HVdB8CiYENTSosFBHTokSQMDOn1aXV0Sc34UCB4Fk47xEyd0+LDiWHGsNWs0aZKShOD/GcGjYNKqu7t17pxKJSWJNm26/DqujuBRJCEojjUwoPfek6ThYXV2av58ieBHh+BRPL/+qkOHVC4rBK1fr/HjG72g4iB4FEk6xj/6SJWK4lhRpPvuUxSJu0lGieBRMEmi7dsVRRoa0pw5uummRi+oUAgeBfPtt/ruO8WxJK1ercmTGe9jQPAojPQGu23bsj18W5sWLZLEB3JjUG70AoBRSc/nq1Xt3asQFILmzdPs2ZKyaY/R4FKhGNL7bQ4e1KlT2SuLF2vSJFUqjPcxIHgUQ7pvf/dd9fdL0pQpWrpU4uP3MSJ4FECSqFzWn3+quzt7ZcYMzZ2rJFGp1NCVFQ3BowCqVUWRPv5YP/0kSXGsO+5Qa2v2OkaP4JF3IWRj/PBhDQ5K0nXX6f77JTHex4zgkXfp+Xx6O206z2fM0IwZqlY5nx8zLhjyLj2fP3pUx49nha9bJ3FcVxOCR96Vyxoa0sGDkrL7bdaulQi+JgSPXEvH+5kzev99RZGSRHfeqY4OieBrQvDItbTqnh6dOaOWFknatCm70w41IHjkWnrb/NtvK4pUqWjyZC1YwGyvHcEj786e1Z49imOFoDVrdP31jV5QkRE88isEJYl279bgYDbV77lHra18Pa52BI9ci2Pt2CFJw8OaNk1z5kjiDXztCB45lVbd16djx7J5vmyZOju53+aacOWQU+l98jt36sIFhaDWVi1alD24kv18zQgeOZV+6r5vX/ZR/PTpuv327DZb1IyLhzwaHlYcq7tbP/6YvTJ3rjo6stdRMy4e8ijdt+/frz/+kKS2Nq1aJfE0q2vG9UPupI+7uHBBR45kb9c7O3XXXUoSgr9WXD/kTvoxe2+vjhzJzuqXLlVbG8d1dcBTa5E76U11X3yh/n6VSopjPfggx3X1wSVEvqRhnzunDz+UpGpVU6fq1lsVRYz3OiB45Eu6hz95Uj092ROsNm5s7IqaCsEjX+I4+/g9fcee/lykuJ22TggeOZJWPTiot96SpOFhLVigrq7GLqqpEDzyJQQdPaq+PpXLkrKff+d8vl4IHvkSRdq+XZKSROPH67bbsntsURcEjxyJIvX3a8+e7EE3d9+tqVP5QK6euJDIi3SM79uns2clKQQtWaL2dh53UU8Ej7xIg9+1K/sd+I4OLVwocT5fV9xph1xIfxby1Cl9+WVW+Lx5mjVL1Sq/J1VPTHjkRbpvX7VKnZ1qa9OSJSqV2M/XWRTYMCFnLl7Up59q1izdeCMfyNUZwSNf+A7sv4pLi3xJvypXrXJW969gwgNGmPCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwFsBWm3+gOSf4AAAAASUVORK5CYII=", "image_next": "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", "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', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "action": "('move', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "action": "('move', [-5.846172704455462, 8.261805036394666, -15.579230605654468])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALL0lEQVR4nO3dW4hVZR/H8d86zEzKhEWGKEZh+RJeVERJGeWNGeMpirTMi9TSRh2GUDMUu/IuUdOSKWsksVBLMCoqD3SgLuzAeBEORqEIHSgyT+RhH9Z6L9ZitLe38jSzD7/v53b2xXOxv/6f51l7b4M0TQXAQ1jpBQDoOwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwR/cdJUaVrpRQDniuAvVJqqVJKkIKj0UoBzRfAXpFxWECiOJenkyUqvBjhXBH8+enbvUaTjx/XCCxo7Vu+/Lymf9kB1iyu9gJqS7d5/+kkdHXrrLX37rSQ1N2v8eDU1KU3Z3qPKEfw/6mk4TXXqlPbv19q1evNNHTokSc3NuvNOzZ2rpiaJwzxqQJByyfx/JYmSRHGcb+ODQIsX67nnlCSSdM01Gj1ac+Zo1KjKLhM4L0z4v0hTlcuKY4WhTpxQ//5580OGKEl0881qadHUqbrpJklKEgUBsx21ggl/lp5hLungQXV06PvvtWaNhgxRmurECb3+uu69V8OGSVKxqChSyK0nagnB/0V3t1av1s6dOnBAkpYt09KlKhbV0JC/oFhUGCqKKrhG4MJ4b+l77uSSRIWCurq0cqV27tSxY5I0YIAmTND48ZIURflWPwzPlA/UGtcJXy4rTfM7uSDQiROaOlXvvJP/dfhwtbSorU3Dh1d0lcAl5jfhe67fJRUKimMlifr319GjknTXXWpp0cyZGjxYEo/WUWecJnz2RZfsmq2rS52damzUqlUqlxVF+uILdXdr0iRddZUklUqKImpHnXEKPvPpp3rpJX32mX78UVGk3bt1221KkjP37Vy/o37V75b+f3bjp07pww+1Zo2+/FJ//CFJV1+txx7TkCGSFAT5Vp87OdS1epzwPdfpYZhv17/6Sq2t6urKXzBihB5+WPPm5bt3wEbdTfhyWVJ+J5cN+TRVc7P275eksWN1//2aMUP9+lVykUCF1NGEP/tObvt2bdmiBx7QxIn5Rn39ejU26tFH8xdkkx8wU0fBZzZt0htv6PPPdfSobrxRe/cqDM/cyWW7fa7f4aoutvRZz7t2adEiffNN/lsUw4Zpxoz8BdlhPk0VRfluH7BUF+/+bFwPGKA9e9TQoNtv1+zZeuQRNTf/6TdqAHv1taVfskS33KIpUyq9DqBK1VHwZ/86Tc/tHYCz1FHw4ourwL+or+AB/CP2vYARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEHzNS1MlSaUXgRoRV3oBuChpqiBQEFR6HagRTPhalQ32IFB3t1avVrlc6QWhFjDha1KaqlxWHOujj/TEEzpwQHGsefPygQ/8nSBN00qvAecnO7GHoV59VfPn6/hxRZHKZe3cqTFjlCQK2bfhb/DWqDFpqjBUmmrJEs2apePHFccqlzVqlPr1E/96458x4WtJNr1//13z5mnzZkWRJJXLmjpVK1Zo8OBKrw9VjwlfG7JDexiqu1sTJmjzZjU1qVxWuazFi7V+vQYP5t4O/44JXwPSNN/Jf/CBZs/WDz/osst06pQuv1zLl+vJJyVxdMc5Ifhq11Pyyy+rvV2FgpqadPq0rr9ea9fqvvvyh3NczuNcMBSqWlb7yZN65hm1tqpQUEODTp/W3Xfr3Xfz2sOQ2nGumPDVq1xWFOnnn9Xerq1bFcdKEiWJpk3T889r4EC28ThvvF+qUXZFF0Xas0cTJ2rrVjU1qVRSkmjpUnV2auDA/A4POC9M+KrTM7ffe0+PP65ff80P7VdcoVWrNH36n14DnBeCry7ZYE8SdXSovV1JosZGFQq64QZ1duqee/KP1nBox4VhTFSRrPZjx7RggdralKaKYxUKGj1a27fntXMhj4tB8NUiq/3gwfxOrqFBkkolTZ+ubds0bFj++A24GHxbrvKyXXoU6euvNX269u7Nt/FhqGXL9PTTamzM/zkALhLBV1jP9dvbb2vmTB0+nNd+xRVat06TJ+evoXZcEmzpKyl7tFYsasUKPfigDh9WQ4MKBf3nP9q+Pa89+1AtcEnwVqqYUklRpMOH1damhQslKY5VLGrMGO3YoZEjuZDHpUfwlZEkimMdOKDJk7VuneJYQaBSSXPmaOtWXXstV3ToFZzh+1r2aC0MtXu3ZszQvn1qaFCxqDDUypVqb89/voZDO3oDwfepniu6zZs1Z46OHMmv6K68Uq+9pkmT8tdQO3oJW/q+03NFt2yZpk07U/uIEdq1S5MmnfneO9BL+GhtH8l26YcOacECbdigIMiv6CZMUEeHhg7l4/HoC7zF+kK2S//uO02Zog0b8iu6YlFPPaUtWzR0KF99Qx/hDN/rsl36xx9r7lzt25dv4+NYq1errU3i0I4+RPC9qOfnaDo7tXDhmUP7oEFav17jxp35hXmgb/Be6y1Z7cWinn1Ws2bpyBE1NalQ0K23ascOjRuncjl/Pgf0GS7tekX2sP233zR/vjZuVBgqilQs6qGH9OKLGjSIJ+2oDOZLrwgCdXVp8mRt3Jj/Fl2xqEWLtGmTBg3i0I6K4Qx/6WXj/Zdf9MknimOVSurXTytXqrWVJ+2oMN56l14QKE3V0qLly1Uq6brrtG2bWltVKuV/BSqFM3yvyIb8yZN65RXdcYdGjsyftFM7Kovg+wL/bTuqBGf43sV32lFVCL53kTqqCpd2gBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wVCOvkJJ68g0gAAAABJRU5ErkJggg==", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "7697b39cdce4b90551ebe713a56b655d6861470b8de6859b9362f56335498f55"} +{"episode": 32145, "episode_seed": 3766590186, "split": "train", "timestamp": "2025-09-15T23:17:28.920903", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3766590186, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "action": "('move', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "action": "('move', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "action": "('move', [0.7095679636752101, -0.8967567501901156, -59.57865282046754])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "614f3965b3cce5df1fa5cdc7e4dea8fe72f60d2ce5719ed8ecffef593103a0a3"} +{"episode": 32146, "episode_seed": 225361418, "split": "train", "timestamp": "2025-09-15T23:17:29.527516", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 225361418, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "action": "('move', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "action": "('move', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "action": "('move', [-0.5969047259121, -3.7987796135033687, 27.672302627532872])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d92d91a6a8ae4ba6e023940ab6fc709d0bf0ee39816fb28422c51f8c3ed9faef"} +{"episode": 32147, "episode_seed": 2357929299, "split": "train", "timestamp": "2025-09-15T23:17:30.133713", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2357929299, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "action": "('move', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "action": "('move', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "action": "('move', [14.738938773776114, 8.218441315066316, 44.26914023043084])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "0a62d9d7ee7013552c1711378e496468f243111c2c66e73a0a8ebb7be7028e65"} +{"episode": 32148, "episode_seed": 2856072600, "split": "train", "timestamp": "2025-09-15T23:17:31.097163", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2856072600, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "action": "('move', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJpklEQVR4nO3c34tcd/3H8dfM7uaHCY1FRMUfF0KbKqKNWBFvRCxpFb30D1As2mIbLTW5UliNbVIDIgqV2i4UtFfe1doKXhShUEEQoQoiSihYIQ1UobbNzq/vxUy3u1W/X5Nv0t3k9XhcLLOTs8zZJc8557w/Z3cwm80CdBhu9w4Arx/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5Hl7d4B+sxmGQy2fPqf/Otmm5/h/A1m/8uPG7iyOMJzQb785Tz8cK6+Ort3Z+/e7N2bN7whKyt55zuzupq3vCVJfv/7/OQn2bcvu3dnz57s2fPqg0OH8o53JMlslmeeSZKVlQwGGQ4XH2ez7N2b/fsXLzcaZTTK0tKWbRztz5/guSB/+1uefz7PP//a56+6KkePLh7/9re5555//+Vra/nc5zKd5uWX89GP5tlnk2R5efF2sH9/RqN89rP57ncznWY4zMMP56c/zVVXZWUle/dmMMihQ7nllsW/8l8TPBfk85/PDTdkOs36es6dy/p6xuOsr+fNb84b37jY5l3vyk03JVlsMD9Kz7d861uTZDjMaJQ3vSlnziTJeJwXXsgLL+Ts2SR5+unklUv3J57Iz362ZQduuCG33JLxOLt2vS7f8BXCNTyXzHSaF1/MdJrRKOPxIvj547e/PQcOJMlolN/8Jn//e2azxXvBeJzJJC+/nHe/Ox//+GLC98gjefLJjEY5dy7jcf7xj3zwg/na1zIeZ9lB6zwIngsyHmc6fe2T80vrpaVL+LqzWSaTrK9naSm7d1/CF7pCCZ5LaTZ77arb/NPNI7fJZMs2G483v3dYk7tIBM9l4l//o+r//Ln+4TIh74vBkgYUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUKQ1+NtvuPYDtUBT8bJbxOM8+mySDQSYT2VOnJfjZLINBHn8811yTkydz9myWljKbZTLZ7j2D19FgVnOYO3Mmhw/nd79Lko98JN/4Rj75ySQZj7O8vL27Bq+TiiP8/D3tiScWta+s5Kmn8pnP5NZb85e/ZHnZ6T0tKoIfDDKb5WMfywMP5G1vy2iU5eXMZvnhD/OpT+W++7K0tNhG9lzZik7p506fzupqHnoos1l27cr6epaWcuONOXUq73tfkkynGQwyGGz3jsIlUBT8/Budl/zoozl6NH/4Q5IsLWUyyZ49+frXc+utufrqzGaZTrO0tJ17C5dCUfBz83F9kn/+M9/6VtbW8txzWVnJaJQkH/5wVldz881JMhplZWU7dxUuurrg56bTDIdJ8qtf5dSpPPJIksUZ/mCQL34xd96Za65xes+VpjT4vHIfzspKXnopP/5xVlfz178uFuen01x3XY4cyZe+tNhS81wZeoOf21iEP306x4/nwQeTLM7wh8PceGO+8528//2JYR5XhPbgk8Vq3HCY2SyPPZZjx/L000myvJzxOPv359ix3H57DhwwzOOyJ/iFzcO848eztpYzZxbNJ/nQh3L8eG66KTHM43Im+C02sn/yydx9d37+8ySvzvBvuy1HjuTaazOdJlmM/eAyIvjX2hjmnTuXhx7Kt7+dZ57Jykomk0ynec97cscdhnlcrgT/720M8/7855w8mR/9KNm0bnf4cE6cyPXXJ1vv54EdTvD/0caIbjrNL36Ru+7acmfevn05dix33pl9+5JkMjHM4zIg+P/Dxi06L72Ub34zDz6Y5557dZh3/fU5eTKHDydZ/E6OQz07meD/K5uHeffck0cfTV45w09y2225/fZcd51hHjud4M/DfEFuNMraWk6cyOnTi9P4ySQHD+YrX1kM8zZOCmCnEfz52bhW/9OfcupU7r8/2bRud/PNufvuHDqUGOaxIwn+vG0M8yaT/PKXueuuLXfmHTiQI0dy9OhimOdoz44i+Au0UfL8zrwHHsjZs1uGeffem098IsOhYR47iOD/XzaGeU89ldXVPP54svXOvDvuyMGDW7aEbST4i2B+YT+Z5P77c+rU4g9jzv8G9rXX5qtfzRe+sHhG82wvwV8ck0mGwwwG+eMf873v5b77kk3rdkeO5N57s2uX5tlmBkoXx3x0Px7n4MF8//t57LG8972L+3CTfOADWV5e/EY9bCNH+ItsY5j34os5cSI/+EE+/emsrTmlZ0cQ/MW3eQX+17/OgQOLm/Csz7HtBH8JiZydRvCXlrvr2VEED0UceqCI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHI/wBm25apHsVBOAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "action": "('move', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "action": "('move', [23.024807222470116, 17.753400074079646, 10.11414499547387])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "fdab1b7efc9f48eae8c0402603cf17214f12a9d09b33f95913d6da280c68c5fc"} +{"episode": 32149, "episode_seed": 151544850, "split": "train", "timestamp": "2025-09-15T23:17:31.706762", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 151544850, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "action": "('move', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "action": "('move', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "action": "('move', [2.8093051493310317, 1.8456359291847342, -53.405952429741944])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "cd984383e0bec0e86c157b30af3f7cae03612fc07a2f2b6bf26e9f29887be5e7"} +{"episode": 32150, "episode_seed": 3596557855, "split": "train", "timestamp": "2025-09-15T23:17:32.311465", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3596557855, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "action": "('move', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "action": "('move', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "action": "('move', [1.6147310760680813, 2.769515818821782, -8.888693055844763])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "3a6cd0abd0a5014dae3532fb122d593083898ba401e17199ed12f1a4770e77d9"} +{"episode": 32151, "episode_seed": 2254677870, "split": "train", "timestamp": "2025-09-15T23:17:32.913938", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2254677870, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "action": "('move', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "action": "('move', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "action": "('move', [1.9355514258213136, 0.7968971311239472, 13.475102178322913])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAGmElEQVR4nO3bva+kZQHG4fudOcMmNEptiGiA8FEQ/gRICIXGZYkFYQsXG/cfWK0IFaEh0YaCUG1sCMeGZLERI1lCttGCZkOBqLUGQtBs2DPzPhaz7mqMhuScM+eQ+7qqaSbP0/zm+XjfmcYYATosTnoCwO4IHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHooIHk7eep153sVAe7sYBPgfNpvMc1arHQ1nhYeTMUY2myyXWa3y9tvjww9HcuzrvOBhp8bIGEkyTVkuc/VqLlzI+fPTtWtTks3meEe3pYcdGSPznOXy1udr1/LKy/P7Hyw+/zzTlDNndjEHwcOxGyPrdVarLJf5x9/z+z+MV14ev/lt5nmR5MyZfPll1utdzETwcIy2B/W9vaxW+eKLvPe78frreefXc7JcLjNNGSPLZZ54Io8/njGyOOZD9jS25wngqM1zpinTlBs3sv/W2P9VrlwZyWJvlTFns8neYn72h4vnnhvnzk1Jxsg0He+UBA9H7N+7Xa/zxht5881cvTqSabXKPG9v5sYLF/L8+Tz55LRYZLPJNB378h7BwxG6vaQnuXEjly/ntddy/fqtu7rtDfzecvzoQi5ezGOPTdvH7+t1ttv7HRA8HIF5vnUaT/K3v2Z/f7z66vjkT4vkTur33DOeOTsu/XTx0EO38t5ssljsKPUtwcNh3d7D//HjceWd6Rc/n//8l0WS1SoHB0ly33156qlcupQHHrjzlWSnqW8JHg5lG9BHH2V/P7+8PH/8ybQ9qx8cJJnvv3965tz04xfy8MPJf+75T4THcnAo26du776bl15Ksrjrrty8mYOD8e1785OL0w/OTo8+mvzroL6Da7n/T/BwKNvl+umn88gjuX49N2+Oe781X/rZ4vvfy3e+OyU5OMhikb3TkdrpmAV8bS2XWa/z4IM5ezaffpoXX5zOP7/4xjfvvBi/s3/CfRXO8HBY20u7zz7L3XffeSV+nk9+A//fBA9H6aSu37+i0/cTBF9Pt1M/tbVH8HBUTnPntwkeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeiggeivwTDDoAv6KyMyoAAAAASUVORK5CYII=", "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": "0142a4de2cfc3bcb9d27168e9c67da85e69d89b1794e3d0976426a252c1257bf"} +{"episode": 32152, "episode_seed": 912074481, "split": "train", "timestamp": "2025-09-15T23:17:33.862996", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 912074481, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "action": "('move', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "action": "('move', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMElEQVR4nO3dXYgVZQDG8efMObtraxa5UhgYpIlIQlkatfRh0IVhUSFWkiYmZFioBGmiq4abC25S1EZGJEZpFyJUBFq5pkFWKlSkXeRGUllgaqZpuntmposZz6rl97rn4/n/LvVcHNjz5/2Yd2YycRwLgIeg2F8AQPcheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYI3EseK42J/CRRVrthfAN0hiiQpCCQpjpXJFPfroGgY4StfPq8gUBBo2zb99JMyGcZ5XwRfyaJI+bxyOf35p954Q/X1evRRHTqU/hcMEXzFCkMFgXI5vf++xozR44/rwAFt3Ki3306n9Izzhgi+0hR25rJZtbVp3Dg98ohaW1VVpUxGUaTWVrW3p+t5uGHTrqKEobJZSTp8WM3NamnRrl2SFATq6NCll2r2bE2YoFxOElt3jgi+QkSR4ljZrI4c0Sef6NlntW2bJOVyyufVo4fuvVcLF6p//2J/URRVJmYlV/46OlRVJUlbtuill7R8uSRVV6u9XZLq6zVjhu67L/0wl+WcEXx5S1bsQaCdO7VkiVpatG+fqqoUhooiDRigKVM0ZYp69Ej38EjdHMGXq+TvlgT85pt65RV9+610dA4vado0TZ6swYMlpRfnAIIvP8emvmWLZs3S+vXK51VVpY4OSbrzTjU2qr5ekjo6lMsxsCNF8OUkjhWG6Vj9++9qatLrr6u9vXNUv/pqNTRo3Lh0SV/YtAcSBF82wlCSslnt26dVqzR/vn79VZmMgkBhqMsv19ixamhQXZ10/CwAKCD48lBYhK9erZdf1po10jH78A88oKef1q23SmzC45QIvtQVAv7hBy1apBUr9M8/qq5WR4fiWEOH6pln9NBD6dEalus4NYIvXVGUHoDN59XcrCVL9PPPymTSE7I9e2rOHE2YoL5908+wD4/TIvhSVLh9PZ/X2rWaMUPffScdveRWXa3771djowYOlMQFdpwFgi8tcZxeYJO0dauamrRihaTOS27Dh2v27M5jc4VZAHAmCL6EFM7D//abli7V4sXat0+5nKJIUaRrrtGkSZo+XT16KIrSuT1wVgi+VBSumS9bptde06ZN0tGBPQg0ebKefFLXXnvcJ4GzRfBFduxVtM2b9dxzWrNGYdg5hx8xQvPmacQIiWNzOG8EXzRxrChKx+q9e7VggZYu1f79CoJ00+7KK9XYqDFjdPHFEgM7ugLBF0cYpofk9u/Xe+9pzhz98oskZbMKQ/XurbFjNX+++vSRxIodXYbgi6AwjW9t1QsvpMfmamp05IgkjRqlmTN1220nfhg4fwTf3ZKAv/9eLS1aulRHjnQu12+4QVOnasIEiYM0uDAIvlsltYehbr9dGzd23vpSW6uZMzVxovr1O25tD3QtDm10q+RUbBDonnuko/t2o0dr82bNnat+/dKhntpxgTDCF0cU6eabdeCAmpvT+MWxOVx4BF80O3aod29dconEzhy6C8EXGamjO7ERXDQ8lAbdj+CLhtTR/dgjAowQPGCE4AEjBA8YIXjACMEDRggeMELwpYezj7hgCL7EcNQWFxLBl5Kk9t2701fGMdSjqxF8yUjyXrNG11+v5uZifxtUJoIvDUnt+bxWrtTOnWps1FdfKZNhkEfX4vbYkpG8I66tTaNGaft23XSTWltVW8sDa9GFGOFLRvKE6oED1dio2lpt2qSmJgUBgzy6ECN8icnnFQSaNEnLlqm2Vhs2aNgw3kGBrkLwJSbZqN+1S3ffrYkTNX68evWSxMPu0CUIvvQkzbe3q7pa4tGW6Er8kkpPsjlfXZ2u3oNAf/+tMCz210IlIPiSlDy/XtIff2jBAo0dq7/+Sl8fD5wHgi9VyRsk29rU2KgPP9TChUzscf74DZWqXE5hqKFD9cQTCgK1tOjjjztHfuCcsGlXwpLtuj17dNdd+uYbDRmizz7TZZexjYdzxu+mhCUvmqyrU1OTamq0datmzVI+rzBkMY9zQ/ClLZtVFGnkSD31lCS9+65Wr1ZVFRN7nBum9OUginTwoO64Q19/rf799dFHGjBAcczEHmeLX0w5yGTUq5defFE1NRo5Un36FPsLoVwxwpeJOFY+rx07NHCgJE7X49wQfDnjeVg4S0zpy0rhORmrVmnePC7L42zx9tiyEkXKZvXpp3rwQUWRBg/Www8zvceZY4QvK0GgKNKQIRo+XJmM5s7V9u3pPwJngODLSvK4q7599eqrqq1VW5uefz5dxrMXgzNA8OUmuXn2xhs1e7biWG+9pXfeYZDHGWKXvgwlf7JDhzRqlDZs0IABWrdOV13Fpj1OixG+DCWDfM+eWrRIV1yhH3/U1Kk6eJDacVoEX54yGeXzGjZM06dL0qFDHLPFmWBKX7aSm2R379YXX6i+XnV16TKe8nFyBF8pCjfJc7c8To5fRvmL4/TOuS+/1Lp1vLsCp8BJu/KX7NWtX6/RoyVp40YNGsQ4j//Fb6L8JeN5TY3iWHv3atYsHTzY+e/AMQi+/CW30Nxyi5qaJOmDD7R8OcM7/hebdhUh+SMePqzx47Vqlerq9PnnGjSIozg4AeNARchkFIa66CI1NKhvX+3Zo2nTeFkN/ovgK0XyHPvrrlNDg6qrtXatFi/mhnmcgOArSBAon9djj2nkSIWhVq5Ue3t6DheQxGW5ipLJKJtVLqfmZvXvrylTlMuxhsex2LSrOGzU4eSY0lecwhye1Tv+gxEeMMIIDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YORfuU8Z6Jg84kwAAAAASUVORK5CYII=", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALMElEQVR4nO3dXYgVZQDG8efMObtraxa5UhgYpIlIQlkatfRh0IVhUSFWkiYmZFioBGmiq4abC25S1EZGJEZpFyJUBFq5pkFWKlSkXeRGUllgaqZpuntmposZz6rl97rn4/n/LvVcHNjz5/2Yd2YycRwLgIeg2F8AQPcheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYI3EseK42J/CRRVrthfAN0hiiQpCCQpjpXJFPfroGgY4StfPq8gUBBo2zb99JMyGcZ5XwRfyaJI+bxyOf35p954Q/X1evRRHTqU/hcMEXzFCkMFgXI5vf++xozR44/rwAFt3Ki3306n9Izzhgi+0hR25rJZtbVp3Dg98ohaW1VVpUxGUaTWVrW3p+t5uGHTrqKEobJZSTp8WM3NamnRrl2SFATq6NCll2r2bE2YoFxOElt3jgi+QkSR4ljZrI4c0Sef6NlntW2bJOVyyufVo4fuvVcLF6p//2J/URRVJmYlV/46OlRVJUlbtuill7R8uSRVV6u9XZLq6zVjhu67L/0wl+WcEXx5S1bsQaCdO7VkiVpatG+fqqoUhooiDRigKVM0ZYp69Ej38EjdHMGXq+TvlgT85pt65RV9+610dA4vado0TZ6swYMlpRfnAIIvP8emvmWLZs3S+vXK51VVpY4OSbrzTjU2qr5ekjo6lMsxsCNF8OUkjhWG6Vj9++9qatLrr6u9vXNUv/pqNTRo3Lh0SV/YtAcSBF82wlCSslnt26dVqzR/vn79VZmMgkBhqMsv19ixamhQXZ10/CwAKCD48lBYhK9erZdf1po10jH78A88oKef1q23SmzC45QIvtQVAv7hBy1apBUr9M8/qq5WR4fiWEOH6pln9NBD6dEalus4NYIvXVGUHoDN59XcrCVL9PPPymTSE7I9e2rOHE2YoL5908+wD4/TIvhSVLh9PZ/X2rWaMUPffScdveRWXa3771djowYOlMQFdpwFgi8tcZxeYJO0dauamrRihaTOS27Dh2v27M5jc4VZAHAmCL6EFM7D//abli7V4sXat0+5nKJIUaRrrtGkSZo+XT16KIrSuT1wVgi+VBSumS9bptde06ZN0tGBPQg0ebKefFLXXnvcJ4GzRfBFduxVtM2b9dxzWrNGYdg5hx8xQvPmacQIiWNzOG8EXzRxrChKx+q9e7VggZYu1f79CoJ00+7KK9XYqDFjdPHFEgM7ugLBF0cYpofk9u/Xe+9pzhz98oskZbMKQ/XurbFjNX+++vSRxIodXYbgi6AwjW9t1QsvpMfmamp05IgkjRqlmTN1220nfhg4fwTf3ZKAv/9eLS1aulRHjnQu12+4QVOnasIEiYM0uDAIvlsltYehbr9dGzd23vpSW6uZMzVxovr1O25tD3QtDm10q+RUbBDonnuko/t2o0dr82bNnat+/dKhntpxgTDCF0cU6eabdeCAmpvT+MWxOVx4BF80O3aod29dconEzhy6C8EXGamjO7ERXDQ8lAbdj+CLhtTR/dgjAowQPGCE4AEjBA8YIXjACMEDRggeMELwpYezj7hgCL7EcNQWFxLBl5Kk9t2701fGMdSjqxF8yUjyXrNG11+v5uZifxtUJoIvDUnt+bxWrtTOnWps1FdfKZNhkEfX4vbYkpG8I66tTaNGaft23XSTWltVW8sDa9GFGOFLRvKE6oED1dio2lpt2qSmJgUBgzy6ECN8icnnFQSaNEnLlqm2Vhs2aNgw3kGBrkLwJSbZqN+1S3ffrYkTNX68evWSxMPu0CUIvvQkzbe3q7pa4tGW6Er8kkpPsjlfXZ2u3oNAf/+tMCz210IlIPiSlDy/XtIff2jBAo0dq7/+Sl8fD5wHgi9VyRsk29rU2KgPP9TChUzscf74DZWqXE5hqKFD9cQTCgK1tOjjjztHfuCcsGlXwpLtuj17dNdd+uYbDRmizz7TZZexjYdzxu+mhCUvmqyrU1OTamq0datmzVI+rzBkMY9zQ/ClLZtVFGnkSD31lCS9+65Wr1ZVFRN7nBum9OUginTwoO64Q19/rf799dFHGjBAcczEHmeLX0w5yGTUq5defFE1NRo5Un36FPsLoVwxwpeJOFY+rx07NHCgJE7X49wQfDnjeVg4S0zpy0rhORmrVmnePC7L42zx9tiyEkXKZvXpp3rwQUWRBg/Www8zvceZY4QvK0GgKNKQIRo+XJmM5s7V9u3pPwJngODLSvK4q7599eqrqq1VW5uefz5dxrMXgzNA8OUmuXn2xhs1e7biWG+9pXfeYZDHGWKXvgwlf7JDhzRqlDZs0IABWrdOV13Fpj1OixG+DCWDfM+eWrRIV1yhH3/U1Kk6eJDacVoEX54yGeXzGjZM06dL0qFDHLPFmWBKX7aSm2R379YXX6i+XnV16TKe8nFyBF8pCjfJc7c8To5fRvmL4/TOuS+/1Lp1vLsCp8BJu/KX7NWtX6/RoyVp40YNGsQ4j//Fb6L8JeN5TY3iWHv3atYsHTzY+e/AMQi+/CW30Nxyi5qaJOmDD7R8OcM7/hebdhUh+SMePqzx47Vqlerq9PnnGjSIozg4AeNARchkFIa66CI1NKhvX+3Zo2nTeFkN/ovgK0XyHPvrrlNDg6qrtXatFi/mhnmcgOArSBAon9djj2nkSIWhVq5Ue3t6DheQxGW5ipLJKJtVLqfmZvXvrylTlMuxhsex2LSrOGzU4eSY0lecwhye1Tv+gxEeMMIIDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YORfuU8Z6Jg84kwAAAAASUVORK5CYII=", "image_next": "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", "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', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "action": "('move', [0.059126919599181905, -19.488862852458777, -43.424520594659164])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI3klEQVR4nO3dT6ildR3H8e/vOeeOGLhyo04KBWWiZoiZjgmiU6OS/RlTW7howr9BiDjMaIgZRlELdWd/FlK0cGNiI5J/Ig1GJBdpgyYuktQRRQWVGZG55zxPi3NBEv+kM3TPuZ/Xa3nv5gf3eZ/f7/md3/PcNgxDARm61R4A8P8jeAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgi+LkzDKs9AtYuwc+RYajpdLUHwZom+HkxDDUMNRpVVfX9ao+GNUrwc2EYqrXqurr55rroonr99ZUfwoE1Xu0BsFL7s8/W1VfXjh3V93XccXXDDas9LNaiNphHVtss+Oeeq+OPrzffrKWlGob+oYe6005b+RUcKJb0q6+1GoY66qj65W3D0tLQWk0m3ZWXT/fuXbmxhwNF8POi7+ub32oXXjDs2zeMx7XrydH11w9dZwOPA8mSfl5MpzUa1bP/6s88s/79XBuN2kHr+rv+UF/Z1E0mNbbZwoFghp8Xo1FNp/WpT3c3/rhbWteGofa+1a69ru3eXeZ5DhTBz5Guq+V9dfHFtfnr/XQ6HHRQ+/vj7ZZbqutW7vNhP1nSz5fZtvxLL9XJJw8vvNBaq76ve++tc86pvq/O5zP7xxU0X2aFH3ZY3Xprq1opfPv2evW1Kkdx2G+Cnzuz1fvmzbVlS00mw3hcu3bVDdf3pnf2nyX9PJr9TV58sTZtqqeeqtGo+kl/9x/b185rFvbsD9fOPGqtptNav75u/FHfqu/7Glp3zdb28st27Nkvgp9To1FNJ/XtC7pLL62+H5bW1TPPDD+8btJPazp1M8/HZEk/v/q+Wqvdu+vsTcOTT7Wuq6V1w29vbxd9pxzF4eMR/FybHb/bcfewefPQum4yraM/1z9wX/vkkW7m+ThcMnNtNKq+r/O+0S67rC1PajSqp//ZbryxJpNqvqXjozPDL4C+rzfeqC9v6J96ulu3VP1Qd9xR55/v4Vk+MsEvgFnYDz44nH12tdYmk1q/vh57rA4/fLVHxqKxpF8MfV8bN7atW9tkUktLtXt3XX11TfuaTFZ7ZCwUwS+A2bp9GOqqq+rEE2t5uUajuvPO+v3vhvHYi275CCzpF8Zsx/6BB+rCC2vPnppMhiOPGO7/czv66Nb3K6+7hQ9mhl8Yo1EtL9fGjbVlSz+Z1Hjcnn+x+8lNtby88sgNfCgz/CKZHcV5++069UvTJ3aN1q2r6bT/za9ry/e62fwPH0zwC2a2Y79zZ5115sqm3RGH9Q893D7z2eZbOj6UJf2CmT08e9pptX1bP5n0S+N68aVu+3bvt+V/YoZfPLO/2Ftv1cYz+0f/1o3HNZn0v7qtLruiG/pqPsN5f4JfSLOD9Dt31nnnDW+80arq0EOHhx9uxxzjTVh8EJfGQuq6Wl6uDRvqqh/0fd+PxvXKK23r1pXf+gzn/Qh+Uc325LduG51xRre8r8bjuvfeuvXW6jrH73hflvQLbPZV3COP1Lnn1p49NQy1fv2wY0c74QQLe96bi2KBzR6e3bChtm2r6bS6rp5/vq7d1u/dO5SFPe9F8Itt9oq7a66p008fZsfv/nR/u/32ZnrnPVnSL7zZeZt/PDFsOLV/6+1R6+oTB/ePPtode6wH5nk3E8HCmx3F+fwJ7ac/G1UN41Ht2dN9//LpZGJVz7sJfi0Yhur7+u6WOmfTsG/fMBrVX3eOfvHz6joPz/JfLOnXiNmO/ROP91/dVK+92qq1Qw7p77+vvniy52p4hxl+jZj9t+kTvtBdu73Nbtxff71t39ZeecXDs7xD8GtH19Vkua64sp11xnQ6HVprf3m43XOPf1bDOyzp15TZtvwzzwynnNImk7rpprrkkjr4YIdwWCH4tWbW/F131ZFH1kknrfZomDOCX8t8D8+7WOqtTX2vdt6DGR6CmOEhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhyH8A+AI558i0lvoAAAAASUVORK5CYII=", "image_next": "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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": "7fcca6ff2136894fbe57248c2be0ea7eea729a8f47a406c0ca00d6c3f5382e48"} +{"episode": 32153, "episode_seed": 16751546, "split": "train", "timestamp": "2025-09-15T23:17:34.471384", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 16751546, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "action": "('move', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "action": "('move', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALLUlEQVR4nO3dXYgV9R/H8c/M2bOru3ahdpFkEoTZRZRlBElRaBupSWgKoeVCtgvdtEpZN1FiYhaWRpRPpesmZJmR4kUPaGCGgt2krhSYpJClSCTp6u6Zhy5m2Oxfmk9/d+d83q8r3XMzu+z7/L7zmzmzQZqmAuAh7O0DAHDlEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOBhKooUx719EFdckKZpbx8DcKUlicLwb/8w4fS9AlK2wIWhNm7Url0KQ1kteQQPL0kiSVu36rHHNGmStm9XEBg1z0gPI9kAv3u3HnhAR45IUkODtm/XyJFKUwVBbx/f/x8rPFykqcJQhw9r2jQdOaJyWZLuv18jRkiyqF0EDxPZJP/bb3r8cXV0qKZGlYpGj9bq1erf32ikJ3hUv6zn7m7Nnq2tW1UuK4p088364AMNHKgkcVneRfCoej3b8i+/rPZ21dWpUtG116qtTcOGKY65LAdUkWwBf/ttvfKKymV1damhQcuWadQoVSoqlXr7+K4sdulRzeJYpZI2bNDUqfmmnaRly9TcnL/khhUeVStJVCpp+3bNnKk0VbmsJNELL6i5WWnqWLtY4VGtskvuHR166CH99JNKJcWxZs7UihX5Uu+zUXcmgkcVysb1n3/WlCnauVPlsioVTZigDz9U//6SvDbqzuT6faN6ZZN8Z6eeflo7d6p/f1UquusutbWpoUEyrl0EjyqTDaxpqmef1SefqK5Op07phhu0apWuvtruItw/eX/3qDpZ0vPmaelSlUrq6tLAgVq9WjfdlK/85jiHR/XINupWrlRLS952uaz29vyanOcu3f+o6e0DAC6PbKNu82bNmqUwVJIoTbVokaZOVRSpht90SYz0qA5RpFJJO3aopUWdnSqVlKaaM0etrflLyDDSo/Cytf3HHzV5snbvVr9+On1aTU1qa8v38BjmexA8ii07OT9+XJMna+tW1dWpq0uNjdqwQVddZffIuv9E8CiwNFWSKEk0bZo+/lg1NYoi3XKLNm/WddexUfcv2MpAsZVKeuaZv2ofOlTt7dR+Vow7KKo4VhDo1Vf15pv5My0aGvTuu7r1VkURtf87RnoUUqWicllr1qi5Oc87TbV6tZqauAh3LqzwKJ4oUrmsL7/UnDmKItXWKkm0cKGamrid7j+wwqNgspPzffv08MPav1+1teruVmurlizJH27DMH8OBI8iyWr/9Vc9+KC++y7fqHvkEa1dq9paav9vBI+COXVKEydqy5b8U+53361PP9XgwWzLnxfO4VEMPZ97bWnRli35w2eHD9eqVRo82OtR05eC4FEAaao4Vhzruee0dm3+uddBg9TWpuHDFUXcTne++Dmhr0vT/ErbO+9oyRKVSgoCNTSovV2jRyuOuQh3ATiHR5+WpvkzJzduVFOTTpxQGCqKtHy576OmLwUrPPq0rPZdu9TSouPHJalS0Ysv5vfbMMlfKFZ49F3ZxvuBAxozRgcP5tvyTz6p5cu5AneReIdEH9VzyX36dB08qNpaVSoaP16LF7OwXzx+cuij4liSFizQzp2qq1N3t267TcuXa8AALsJdPIJHH5U9pqq5WY2N6urS9dfr/fc1dCiPmr4knMOjrzt6VAsXatw4NTayLX+pCB592pnPqKL2S0fw6Ouy3Ttulb8sOBlCX0ftlxHBowCo/XIheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwcOP8d9TJHj4yf5anSWCh5Os8+PHbf9aHcHDSRDo6FGNHq3Zs3X6tNLUbakneHhIU8Wxurv11FPat09Ll+rrryUpjnv7yK4ogoeBNFWSqFTS669r0yYFgV56SY2NShLV1PT2wV1RQWo20sBRHKtU0uef69FH9fvvmjRJH32kIFAYup3MEzyqXZIoCPTHH5o4Udu2acQIffWVhgxRmrrVLkZ6VL9snq+v1xtv6J579NZbGjIkfxfwwwqPqpYkCkNJ+XqezfaWa3uGFR7VK00Vhuro0MmT+c02pZIk29pF8Kha2dC+f7/Gj9eMGdq7N/+iN4JHNcpOVDs71dqqQ4e0ebO6upzvqO1B8Kg62S5dGGrBAn32mcJQixdr1Kj8Urw3Nu1QdaJINTVav17TpimKNGOG1qzp7WPqKwge1SXbgf/+e02YoAMHNHKktmzRoEHOO/NnYqRHdQkCHTum1lYdOKBrrtHKldR+JoJHFcnG1b179cUXCkPNnas77lAcU3sPRnpUi+yzrkGgkye1fr1++EHz5ikMVSoRfA+CR1X459CefYVh/u8Y6VF82T02v/yibdvyr1D7WRA8Ci676l6paP583Xuv5s9XpZK/RO3/QPAovpoarVun996TpEOHJFI/K87hUWTZ0L5nj8aM0bFjGjtWmzapvp5h/mxY4VFkQaATJ/TEEzp2TMOG6bXXVF/PdbhzIHgUU3bqLqm1Vd9+q5oaLVig229XFHHD/DkQPIopOxVdtEjr1knSrFmaPl1x7PZQygtF8Cigno2nPXvU2an77tPcuYrj/OE2ODveDlFA2TX27HOvN96oKVPU0NDbx1QM7NKjaP51B55t+fPDCIRCyW6q27RJu3fn/xW1XwCCR3FkY/yOHZo0SWPH6ptvFIaKImo/f5zDoyCyxfzwYTU3K0nUr5/KZdvHy180VngUQc+HYebMUUeH6uu1YoXuvPOvJ0/j/BA8iiBbyZcs0bp1CgI9/7zGjeMem4vALj2K48SJfKkfMICNuotD8IARRnrACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMPIn7xolGMwJPEoAAAAASUVORK5CYII=", "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', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "action": "('move', [-0.029244527263284, -6.589379642583782, 3.816872340346663])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "99d33a002e6db0dd4bba29a535ac7d5b3458064e145e01b818f269c865f9ddbb"} +{"episode": 32154, "episode_seed": 2176385547, "split": "train", "timestamp": "2025-09-15T23:17:35.076998", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2176385547, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "action": "('move', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "action": "('move', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "action": "('move', [-12.196520421316414, 0.8044413635276765, -39.583434951315276])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "25d1a39f5fff7d355215d6cfc237a4ba277e7c528f3c6d95c09f781cb9cf8a8d"} +{"episode": 32155, "episode_seed": 3620862433, "split": "train", "timestamp": "2025-09-15T23:17:36.036173", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3620862433, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "action": "('move', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "action": "('move', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKg0lEQVR4nO3dPYwcZx3H8d++XF5IOJKQxOQF7MNGJtggIiITkECgKCQVHW+ipwRRUKWhQBRQEToaChqkIEUICWQTGhBSBKZwcOyYiNxxSiS/RJHhnEB8ezsUMzo74u3uHLI79/98Ks947vQU99155tnZnUHTNAFqGM56AMBbR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyHjWQ+A/6fpNBsbGQ4zHGYwmPVomL1B0zSzHgP/f02T6VT2mNLvUtNpkpw5k8cey89/nsEgo9GV2r3KV2VKv0u15/Nf/jLf/nYWF/Pud+ehh/LFL+ajH3Wer8wZfpcajZJkYSF3351//CPPPpvHH88nP5lDh/LYYzl+PJPJlYM3NjKZdJMCdjXX8LtX02QwyPp6jh7Nk0/m+PGcPp319e5/z53LnXdeOax1+XJGI1OAXUzwu9rVMV+8mGPH8pvf5Le/zf79eeKJbGxkNMrPfpbjx/Oxj+XjH8/iYvdTm2v77C6CL2BjI9NpFha6zZWVNE327ct0mtEojzySY8eyuJj7788DD+Qzn8nDDzvD71aCL6M9bycZj7vNwSCTSb773fzgB1lZ6Q57+9uzf38+/el8/vN58ME3zBGm0wwGXgt6TfD1tItz7XS9adI0WVvLH/6QH/84R4/mxRe7Ax56KE89lckko1E3F9j88fYtABP+HhI8V3n99Rw7lieeyO9/n698JV//eiaTjMf55jczHueRR7K0lNtv7w6+fDnjsez7RfBcdR/O5nT9r39N0q3hnT2be+7pjvnUp/LwwzlyJA88kFtuecsHyrUSPG/Uztivvs5/6aV873v5xS9y8mR3zE035cEH8+EP50tfykc+0h3WXuEnLvLnmeD5d9q/iqvTXVnJqVN56qk8+eSVFb7vfCff+EbW16+8BXD1b1D+/BE8/8vV8U+neeWVnDiRH/0oJ07k8cfziU+kafLKK/nyl3PkSL7whRw4kOuvn+2Q+U8Ezxa0i/nJG5boptM0Tbd6f/RoHn2023/kSD73uTz6aA4cyA03vOVj5b8RPNv0r7P9JE8/ne9/PydP5plnuj133ZUTJ3L77WkaK/nzQ/Bcs83L9dXV/PrXefrp/OpXOXQoP/lJ964ec0PwvBnar9bZXLp7/vmMx9m3L7FoP18Ez5unzb79vB1zSfC82f7tCh/zQfBQiNdgKETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMH3Q9PMegTsCoKfd23qg8Gsx8GuIPh5NxhkOs2rr+b112c9FPpvPOsB8N/87W/56U/zu9/l1Kl89rP52tcynWboVZqdEvycasO+eDHf+lb+9KckWVzMV78qeK6Jv5051c7k770399+f8TjDYZaXMxhkMLCAx84Jfk4NBplMMhxmz55MJplOc/Fizp/PaCR4dk7w86tdmd+/v9tcW8vp04m36LgGgp9fm8EvLibJ2lp3MS94dkzw86sN/r3vzTvfmSTr63nuuSSZTmc5KnpN8PNrOMx0mqWl3Hprt2d5OXETDtdA8PNrMMjGRm64IXfe2e05fz5ra1lYcJJnhwQ/19qT+X33dZvnzmV1NXEZz04Jfq5tBr+wkCRnz+Yvf0kEz04Jfq5tBn/jjUly6ZLguSaCn2vtXbSHD+e667o97ZTe/XbsjODnXdPklltyxx3d5vJyLl/O2Gcg2BHBz7umSdPk0KFuc2UlL7/c7YftEvy8az8w86EPdZsvvJALFxLBsyOmhv1w+HAGgwyHuXAh58/PejT0ljN8Pxw+nKbp1vA21+1guwQ/79qw7747t96ajY0kOXOmi9+snu0SfD8sLOTw4e6O2ueey2uvzXpA9JPg++G6664s1J86lVdfnelo6C3B90Yb/Hic5eWsrc16NPST4Hugncm3wY9GmU6zsjLTAdFbgu+Ne+7J9ddnMkmSkycTC/Vsn+B7oA375puztNQt1D/77GxHRF8Jvjfe8Y68//3dv595xndgsBOC742bbsrBg0kyHOb06Vy+POsB0UOC74H2u66SHDiQJKNRLl3KCy/MdlD0kuD7ob2p7t57MxxmYyPTabduZ2LPtgi+H9p1uz17smdPF7l1O3ZA8P3QBv+ud2Xfvm7PH/+Y+JAs2yT4fmi/0+qOO/Ke93R72odSeCuebRF8P7TPlhyPs3dvt6d9tqTPzLEtgu+NNuzN4P/+95w6lVi3YzsE3xvtt18sLXXPlrx0KWfOJC7j2Q7B90Z7ub601D15ajLpLuMFz9YJvjfay/W9e7uHySZ5/vmZDogeEnxvDAZZX8+NN+auu7o9Fy7ktdeysOAkz1YJvk/aWf373tdtvvxy/vznxKyeLRN8n7TrdgcPds+WPH+++yYMC/VskeD7pD3DHzyYm29OkkuXBM/2CL5P2uA/8IG87W3dnuXlK/vhfxJ8nwwGmU5z22257bZuz+pqdweey3i2QvA904Z9333d5upqzp719Gi2SvA9087e20fNJVldzblzsx0RfSL4ntkMvj2lnzvXBW/djq0YNOaCPfTii/nhD3PoUD74wezdm4UF63ZsieChEM+H76vNF2rndrZO8H2lc3bAoh0UIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyH/BNDFbeO7bpqJAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "action": "('move', [16.106533400313854, 36.93787102101526, 30.818203464300495])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+klEQVR4nO3dbWhWdQPH8d+5ztlDVJLlYyIommAmFYqZUBRmWkQgYimblCOzZm9KynAQvugBSiK1XBTM1Rg5lNTMZGoIRTBqkQtLIgKJAoWSnmjuejr3i3NuN+/bNCndrvP7fl7pdiYH5vf6/8//PAVxHAuAh9xg7wCAi4fgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBINNg7gAupXFappFxOuZyCYLD3BoMviON4sPcBF14cq1wmezClz6hyWZK++UZNTfrgAwWBwrC/dj7lXTGlz6hkPN+/X88/r2HDNH685s7VkiW66SbGeWeM8BkVhpJUVaWrr9bJk/rqK23cqFtv1bRpampSd7eKxf6NSyUVi+mkAJnGMXx2xbGCQIWCOju1Y4e6u3XkiAqF9LvHj2vUqP7NEvm8wpApQIYRfKYNjPmXX7Rvnz7+WJ98okmTtG2bSiWFoXbvVne3br5Zc+Zo2LD0p06t7SNbCN5AqaRyWVVV6V+PHlUca8IElcsKQ82fr337NGyYbrxRM2fqzjs1bx4jfFYRvI1k3JYURelfg0DFol56SW+8oaNH080uv1yTJun223XffZo9+7Q5QrmsIOCzoKIRvJ9kcS6Zrsex4li//67PP9fWrers1A8/pBvMnasDB1QsKgzTucCpH09OATDhr0AEjwH6+rRvn7Zt02ef6eGH9fjjKhYVRVq3TlGk+fM1caJGjEg3zucVRWRfWQgeA67DOTVd//VXSeka3rFjGjcu3ea22zRvnmbN0syZuuKKi76j+KcIHqdLZuwDj/N//FEbNmjvXh0+nG5z6aWaPVs33KClSzVjRrpZcoQvcZA/lBE8ziT5XzEw3aNH9fXXOnBAO3b0r/C9+KKefFKFQv8pgIH/AuUPPQSPcxkYf7msEyfU06O2NvX0aONG3XKL4lgnTqiuTrNm6f77NXmyamoGd5fxVwgef0OymC+dtkRXLiuO09X7zk4tWJB+fdYsLV6sBQs0ebJqay/6vuJsCB7n6f9n+5K6urRpkw4f1pdfpl8ZO1Y9PRoxQnHMSv7QQfD4x04drn//vT76SF1d+vBDTZum7dvTs3oYMgge/4bk0Tqnlu6+/VZRpAkTJBbthxaCx78nyT653w5DEsHj33bGFT4MDQQPGOEzGDBC8IARggeMEDxghOABIwQPGCF4wAjBVzAuocD5IvhKlTxghrfF4LwQfEUqFpXL6c8/lcvRPM4DwVekKNLu3XrgAX33nXK59HnzwDlxr3LliWO1tOjpp/XTTzp+XNu3a+TI9FHxwNlx80yFSX5dM2boiy9UU6O+Pi1Zoi1b0qfIce85zo5BofIEgd56S2PGqK9P1dXaulXr1pE6/hZG+MqTPFHq4EHde6/++CNdt9u0SY89xhOlcA4EX5GS5tva9MgjKhTSx8x0dGjhwvTPwBkxpa9UpZKWLdOaNekpulJJK1aoq0thyKI9/hIjfKVK3v5cLGrVKrW0KIpULGriRO3Zo6lTGedxZgRfwZKJfW+vFi5UZ6eqq5XPa84cvfuuRo/mRB3OgOArW1L1zz/rjjt06FDa/OLFamtTdTVL9/hfDAGVLZdTHOuqq9TRofHjlc8rDLVtm9asURCoWBzs/cMQQ/AVLwgUx5oyRe3tGjVKcawo0oYNWr9eUcSV9jgNU/qMSM7At7Vp5Ur19SkMFQRqbdXSpSzgoR8jfEaEoQoF1derqSl9AUw+r5UrdeCAwpC5PVKM8NmRvPEll1Njo5qb0wW8iRO1a5emT2ech0TwGZOcqCuVtGiRdu1SVZUKBc2erZ07NXp0/1teYYvgsyap+sQJ3XWXPv00bf6ee9TRoUsukbijzhvH8FmTLNpfeaXa23XttSoUVF2t99/X6tVp6nzCOyP4DErOwE+erM2bNWaM8nnV1Oj11/Xcc+lj8GjeFlP6zCoUVFWl9nY1NKhQSG+wefNNPfRQ+i0YYoTPrKoqlUqqq9MLL6Sr95KeeEJ796bfgiFG+IxL1vBWr9bLL6cLeBMm6L33NH06i/aOCD7jkpPz5bLq69XRkd5Fe/312rtXY8fSvB2m9BkXBAoCRZGamzV3ropFVVerp0fLl6u3N13Shw+Cz77kUpzhw7V5s6ZPVz6v2lp1dmrVqnQDbrDxQfAWksvpp0zRa69p5EidPKko0pYtWrtWkkolxnkXHMMbSS6n37lTS5eqUEgP7199VY2NPO7WBcF7SZpvblZjo8JQcazLLtM77+juu1nAs8CU3ksyt3/0Ua1dq1JJQaDfflNDgw4dYgHPAiO8o2Qyv2KFWlrSu2inTtX+/Ro3jkdfZhy/W0fJhXfr12vBgnTR/sgRLVvG+6ezj+Ad5XIqFjV8uDZu1HXXpYv2Bw+qoUG9vdxdk2UEbyqKVCrpmmvU2qpRo1Qspi+reuYZhSHNZxbB+0peSjVjht5+W7W1KpcVRXrlFTU38zCszGLRzl1yBr61VcuXp9fh1tSorU2LFnGiLoMY4d0lz65/8EE9+6wk5XLq7VVrq8TDsLKI4JGegX/qKa1YoXJZdXVqbx/sfcKFwZQe0n/fUXfsmPbsUX29amqYz2cTweMMqD2rmNKjXxynN9VQe1YxwgNGGOEBIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGPkPQ7slANhSUC4AAAAASUVORK5CYII=", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHzklEQVR4nO3c34sV5x3H8e+csxoCWWsUQi5MMaEuSFtvGmPq1hpxNS2lkVCNqf078vfksonalhCIVSLRiNVoYnsj+VFvEkRZhBarkLDumenFObq7Wmgosbuez+t1t8PMYWB5n+eZZ5/Zpuu6AjL0lvsGgP8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwY+trlvuO2DlmVjuG+Ahmp+vqur3q2mW+1ZYGZrOQBDgzp3q9arfX+77YLkZ4cdT29abb9aVKzUz0+3Y0axePTrYddXrGfBzGeHHTddV09TXX9fUVF29WuvW1ZYttW3r4Nf7+tPT959ZJf4sgh83w+BPn66XXqper9p2dHj9+mbj99u9L9frh3pbfrzk/LY17KcQ/LgZBv/OO/XGG3X9et2+3VUtSfmxx2rz1ODgof4rr9Qzz9Tk5Oi4Fb4Egh9Dw+ar6tSpOnp4cP5Cc+VK7+bNUfn9fg0GozOnp2v//pre3m2aatauHR28M1e9vjF/PAl+PC1+Pp+bq/dPdCdPthc/6Z872863TVUzMVF1d1Sf6A127+nv2tVt29pt/1lvtMI3qK5kP24EP87atgaDWrVq9OONG/XJxfbcR82fjzcXPhodXLWqBoPRo/66td3zLzQvPD/45a9627cvhG55b2wIfvx1XQ0G1XUL5c/O1pUrdeJEHX67/ezzZjjVX7zC99RTzbPPdnv31GuvNz/64ZJPa9tqGvE/qgQfpG1HC/K9uzuqb9+qy5/Wkbe7P/2hvTbb/+ab+y954omamqqDB+vVV2vDhnr88dHx4SqACf8jR/CJum60A2exDz6ow79vz56rr77q3fzXaIWvae7tye92bO8OHupNb++ee65Z873RVcM9fMp/VAg+2r1f/r1c5+bqxPHuxPH240v9ixfvruotWuHrN+3Lv2j27G22/qTbum20h2/4yLB47sDKJHhGhhP+ibubrW/cqHPn6vz5Onmyu3ChrepX1erVNT8/fNTv1j/Z/XS62batmZmpF19c+JDhd4cBf2USPEs8uMJ37Vp98Xn3/snmyOH2i7/X8JXqxX/Mf/rp2rSpZma6AweazZvv/zTlryiC5z97cIXvn//oPv2sOXq0++OR9tps/86dJec3VWufrKkfDPYf6P1mf7Nhw8JXBiuH4Pkvhu/YLX61djCoU6fqrbe6Dz+s69ebW7fuv6SpbufPu9/+rrdrV23cqPwVRPB8Ww9uv5mbq2PH6tixunSp/vbX7s58VTX9iWrurvDt3FnvvluTk+b2K4X34fm2Fhc7fMdu9erat6/27asbN+rM6e7sX5ozZ7qLH3dVveGMYPfumpyswcD/3lgpjPD874bZt+3CpP3q1bp8uT19unfkSH35Zb33Xs3M1Pz8wuI/y0vwfAeG2TfNwkg+O1uzs7VxY61Zs6x3xlKC57v04AofK4rgeSi8YLcyebTioZD6ymTrMwQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5N99Rs1CP8Yh+AAAAAElFTkSuQmCC", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHzklEQVR4nO3c34sV5x3H8e+csxoCWWsUQi5MMaEuSFtvGmPq1hpxNS2lkVCNqf078vfksonalhCIVSLRiNVoYnsj+VFvEkRZhBarkLDumenFObq7Wmgosbuez+t1t8PMYWB5n+eZZ5/Zpuu6AjL0lvsGgP8fwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwUMQwY+trlvuO2DlmVjuG+Ahmp+vqur3q2mW+1ZYGZrOQBDgzp3q9arfX+77YLkZ4cdT29abb9aVKzUz0+3Y0axePTrYddXrGfBzGeHHTddV09TXX9fUVF29WuvW1ZYttW3r4Nf7+tPT959ZJf4sgh83w+BPn66XXqper9p2dHj9+mbj99u9L9frh3pbfrzk/LY17KcQ/LgZBv/OO/XGG3X9et2+3VUtSfmxx2rz1ODgof4rr9Qzz9Tk5Oi4Fb4Egh9Dw+ar6tSpOnp4cP5Cc+VK7+bNUfn9fg0GozOnp2v//pre3m2aatauHR28M1e9vjF/PAl+PC1+Pp+bq/dPdCdPthc/6Z872863TVUzMVF1d1Sf6A127+nv2tVt29pt/1lvtMI3qK5kP24EP87atgaDWrVq9OONG/XJxfbcR82fjzcXPhodXLWqBoPRo/66td3zLzQvPD/45a9627cvhG55b2wIfvx1XQ0G1XUL5c/O1pUrdeJEHX67/ezzZjjVX7zC99RTzbPPdnv31GuvNz/64ZJPa9tqGvE/qgQfpG1HC/K9uzuqb9+qy5/Wkbe7P/2hvTbb/+ab+y954omamqqDB+vVV2vDhnr88dHx4SqACf8jR/CJum60A2exDz6ow79vz56rr77q3fzXaIWvae7tye92bO8OHupNb++ee65Z873RVcM9fMp/VAg+2r1f/r1c5+bqxPHuxPH240v9ixfvruotWuHrN+3Lv2j27G22/qTbum20h2/4yLB47sDKJHhGhhP+ibubrW/cqHPn6vz5Onmyu3ChrepX1erVNT8/fNTv1j/Z/XS62batmZmpF19c+JDhd4cBf2USPEs8uMJ37Vp98Xn3/snmyOH2i7/X8JXqxX/Mf/rp2rSpZma6AweazZvv/zTlryiC5z97cIXvn//oPv2sOXq0++OR9tps/86dJec3VWufrKkfDPYf6P1mf7Nhw8JXBiuH4Pkvhu/YLX61djCoU6fqrbe6Dz+s69ebW7fuv6SpbufPu9/+rrdrV23cqPwVRPB8Ww9uv5mbq2PH6tixunSp/vbX7s58VTX9iWrurvDt3FnvvluTk+b2K4X34fm2Fhc7fMdu9erat6/27asbN+rM6e7sX5ozZ7qLH3dVveGMYPfumpyswcD/3lgpjPD874bZt+3CpP3q1bp8uT19unfkSH35Zb33Xs3M1Pz8wuI/y0vwfAeG2TfNwkg+O1uzs7VxY61Zs6x3xlKC57v04AofK4rgeSi8YLcyebTioZD6ymTrMwQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAT5N99Rs1CP8Yh+AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "86fbf4da95367a7fbf5db2b23156417465a1699e979099e84ed52f1e0ee85060"} +{"episode": 32156, "episode_seed": 1524232506, "split": "train", "timestamp": "2025-09-15T23:17:36.644237", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1524232506, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "action": "('move', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "action": "('move', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK2UlEQVR4nO3de2iV9QPH8c9zzplml+WFojaW/lH2R8ywpBs2zCKCIwrqTMgU7epCMPK/iqL+KYhBEbkKBSkLbZuWdEG6kLUgldMNu2hFNXEsZmTUtHbO8/TH87RN5ddPbWfn8nm//nI3eGB7+/0+3+9zCaIoEgAPqVIfAIDRQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgy0gUKYpKfRCoaplSHwCGBEHyjzj7wQ+BkULw5SKK9OGHGjNGl1+uTEaSwlBRpFSK8jFimNKXXjye9/dr1SpddZXmztXrr+vnn5VKKZ1WGCqfZ6qPkRFE/CmVWhQpCNTeruZm1dRoYECSLrtMt96q2bM1bZokFQqKIqXTjPb4T5jSl17c8J49kjQwoFRKmYxyOeVyamjQnDnKZpXNJt8chkoxLcOpYoQvC1GkgweVy2nLFm3YoMOHJQ2N9medpSuuUHOzlizRGWcM/YhY2MNJIvjyUijohx/0yit65hl1dx/1pUxGU6Zo/ny1tGjy5OSTYSiJMR8niuDLRRQpDJVOJx8eOaKODrW16YsvdOiQJKVSSd5jx2rBAq1cqcZGnX22JOXzCgLW8/H/EXx5OX6ivmOH1q1TV5e++06SMhmFYVL+rFlaulQzZ+qiiyQW9nACCL58xRfexdP1r77Sli164w11dUlSJqMgSM7wp07V/PnKZjVzpvTP7v3gTAEYjuDLXaGgMFRNjST19uqDD9TZqZdfTr46uLB37rm69lotXKhFi4ZO6VnYwzEIvjIMz/7IEX3zjTZu1Pr1OnhQGnZ6f9ppmjpVixfrrrs0cWLysyzsYRDBV5Jjput9fdq8WW1t+vbbZCcvCJJRffx4LVmi22/X1KkaN076Z2GPqb45gq88w8/tY9u2ad067dypnh5JymSUzydfmjNHK1boyitVVycp+XyG661cEXxlG36WvnOnOju1fbs++USSMhlFkQoFSZoxQwsX6qabdOmlkpJPMtobIvhqMPwM/8cf9c47am/Xm29KSu7AiRf2pkzRdddpwYKhC3VZ1XND8NVjePaHDunzz/XCC9q4Uf39kpROJwN7ba0aG7VsmW65RaefnvxsGCoIKL/6EXy1iS/LGbyjfv9+vfiinntO+/cnwcdSKdXVadkyrVihCy5Ivj++bw9VjOCr0zELewMDeuklbdigzz7TL79Iwwb8mhotWqQVKzR9uiZMKNkBY3QQfJU75iz93Xe1aZPee0/79klHX6h7/fW6915lsyoUWM+rWgTvYvjK/Jdf6q231NGhjz6SpExG6bT+/FMPPaSHH9bAQLIQgOpD8F7iG2ziM/beXu3apY0btXmzwlAXX6yuLk2axDM2qhnBOxqe/V9/6fvvtXatamv16KPM56scwfs6/hp7VumrHsG749obK1xU7Y7UrbA4AxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEX+F4YBFOBsFXsvgFUcAJI/iKVSgoCBSGeuIJbd1a6qNBZeCZdpUpfpr04cN64AG1tkrSp58m74IG/jeCr0BhqHRafX1auVLt7ZJ0ww3Jy2J40DT+FY+prkz79mn5cnV1SdLy5Wpt1fjxJT4kVALO4StK/MqYHTuUzaqrS+m0HnxQzz6r8eOT10oA/4opfeXI55XJaPt2NTfrt980YYIee0x33imJ18HhBBF8JYhf6RyvyTc0aPJk/f672tp0443JSTu148RwDl/2hq/DxYvzu3dr7Fg1NjKw42Tx51Le4oG9u1stLertVTqtMNSMGWpsVKFA7ThZTOnLVRQl22+5nO64Q7mcuru1datSKeXzCgLe6oxTwBBRlgZrf+01zZunXE7jxunqq5VOJy92p3acEs7hy9jatVqzRv39Ou88PfWUmptLfUCoeIzw5SeKNDCg++9XS4v6+3XJJersVHMzO+347xjhy0kUKYqUSum227R+vSTNmqXnn9eFFyab8MB/wwhfNoZvv02friDQ4sVqb6d2jCBG+DIQ/wqOuenl7bfV1KQxY5K9d2AkEHypxTvtQaBNm9TTo9Wrj7qchrvfMKKYKJbUYNutrbrvPkmqr1dzs/J5pdPJfwTAyOEcvnTiS+X++EOrViW1T5+u+vpk3Y7UUQRM6UsknqsfOKC779a2bZI0Z47a2pLgqR3FwQhfCvH22549ymaT2u+5R5s3q74+eVIdUByM8KMuHsD37dM116ivT+PG6ZFHtGaNJBbkUWyM8KMoipTPJ5twEydq2jRNmqT165Pao4jaUWyM8KPl+DPzAwf09deaPTtZvWMmj+JjhB8Vce2//qrVq7V7tyTl86qr0+zZQztwQPGxD198ce0//aSlS/X++/r4Y3V06Pzzlc9L4ppZjCb+2oopTj0ItGuXlizR3r3KZNTUpHPOSZ5gwcCO0cWUvsgKBbW3a9487d2rM8/Uk0/q8cdVU8NmO0qCEb5o4s32KNKrr6qnRw0NevppzZ3LEh1KiOCLJgiSx1G1tqq2VjffrKYmbnRFabEtNyrim2SoHaVG8MUX184z5FEGCH5UsESH8sCYMyqoHeWB4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4GkBHs3xbHUNsAAAAASUVORK5CYII=", "image_next": "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", "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', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "action": "('move', [-0.847646160506962, -2.196579921101549, 31.754999132922176])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIl0lEQVR4nO3cT4hd5R3H4d85d2YSiFkEk00o2diC0iK4aBeKVLQiUWpcJGpqNWIbY/1TtKBgdVW7qali1ZgoFcSFUREyNrWb4MbushBEoSWCWBWDaAI2GJI7c+7p4g6zs1bj/Ov3edZ3cRbnc9/3/O57btP3fQEZ2qW+AGDxCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCP7/Qd9X3y/1RbASTCz1BXCm+r6aZqkvghXCCr+yjWs/cqSOHVvqS2ElEPxK1ffVddU09cYbddlldd11dvV8NcGvSKNRjUY1GNTzz/dXX10ffVSvv147dtQXX1TXKZ8vJfiVZzSqpqm2rd//rtuxoz7/vFatrqr68MM6dqzaVvB8qaZ3d6wo44f2kyfrnl93zzzbtE3btjXb9du2NY89Vhs31mhUra9xvoRbYyUZr+0ff1xbt46eebadmGxHfc123T139889Vxs3Vt+rnf/Gz3IrQ9/PPbS/+WZ/yy3NW2+1q1bX6VM1aLrdu+vu37RNY23nqwl+BZiv/eDB2rWrjh6t1avr1KnasL5/8onm2uvb8cEbtfOV3CPL3WhUVTUY1FNP1datdfRoMzVVp071P/h+HZiua69vx/t8Z2/4Xwh+WRvv0me7uv/+/o47ajisiYkaDusnl9X0q3XRRY1tPF+LKf3y1XU1GNTx43XXnf0L+5uJyRp1NRrVzTfXo4/WunUe2vna3C/L1Lj2I0fqmi39C/tr1aqananRqB54oJ5+utatq65TO1+bFX7ZmZ/A/f2N0c076r3321VTdXpYa8/qd++uXbc1RnR8Y6b0y8t8zC+/OPrlL/oTJwdTU3V62G/a1OzbV5s3N+PvZ7XzzbhxlpH5M7N/3N1fv70/cXIwOVXDYf+jH/YHD/bj2g3kOROCXy7Gz+QnT9add9a991U7MRhM1Myw3/LT7sB0e/75zfjrAM6ELf2yMB7RHT1aO3fWa6/V5FQzM6yq/le39Q8/PDhr7dwH4AwJfonNn6J75+3+Zzc0b79dU1M1HNbkZD30UN13b9u0cx+AM2dKv5TmR3SHDvU33jD65NPBuPYNG2rPntq2be4zdvJ8WzzDL5nRaK72Z/9cW64effLpYHKyhsM677yanq5t2+Zea1c73yLBL43xIbm+rwcf7G+9tT89HExM1MxM/fji7tVX68IL5/6+Cr5dtvRLYFz7iX/3u3b1+19sB4O51X77daPHn2jWb2hmZ2vCdIUFYIVfVOMRXdvWBx/UlVd0+19sJybm/oXut/f3zz3frt/QdJ3aWShW+MUzP5A/fLh+vn307nvt5GTNzNTatf0jj9TOnU2V92FYWG6uRTJf+yuv1FVX1bvvtVNTNTPTb/pO99JLtXOnE/IsBvfXYhjvogaD2r27v/HG+uyzGg/kL7igP3Cg3by56boqA3kWni39ghv/kN7N1l13dXv3DcaH4UejuvLK2ru3Nm0qIzoWjRV+YY0PwB8/Xtds6fbuaweD6qtGo7r99nr55dq0qYzoWEyCX0DjCdw//1FXXN799W/t5FTTdbVqavTwH/o9e2rNGmdmWWwWl4Uyrv3Qobp1Z//+v9qpqWY4rPVnd4//qdl+gxEdS8Mz/IIYP7dPT9dNN9WJEzX++e173x0983Rdcmk7fhPWiI7FZ4lZQGvW1OrVNRjUzExdfHH/l4PNJZe2s7M1GKidpSH4BTGew19+eT35ZHVdbd9e09PNuec6M8sSs6VfcIcP1znn1Nln+xMLlp7gF4nX2lkObOkXnNfaWT4Ev+CkzvIheAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyH/SEEbpdk4gJAAAAAElFTkSuQmCC", "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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", "image_prev": "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", "image_next": "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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": "d723f77053e491482ceb880b5eaca846142a853f410890440cc6cdcc345ae609"} +{"episode": 32157, "episode_seed": 2436574636, "split": "train", "timestamp": "2025-09-15T23:17:37.255010", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2436574636, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "action": "('move', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALN0lEQVR4nO3dW4hVZQPG8Wftw5jnECTRpgj0G6ZuQsmcQgu0lCYdVEoixIIgPORNRQeL7ryoTMS0PKAQIY1Y4BRqU00WxtBJpblIrURQS6TUHHVsZq+9vou1Gr8vik6z1xr38//dufFigf73+653vevdQRRFAuAhl/UFAEgPwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBSyvgCgSkWRenokKZ9XPp/11SSCKIqyvgYAKWFKD/S1clmSvv1WCxZo1ix98IEk9Y+RlSk90NeCQOWyRo9We7u++UZDh2rqVIWhCtnnxggP9LUgUBhq0CDNnatCQZ9+qnPnVCj0h0Ge4IEKiFfpZs5UoaCTJ5NZfRhme1EieKAicjlFkSZO1NVXq7NT27ZJv97bZyr7mwqgOkWRCgUtWaIff9RddyV/zBqP5YBK6ulRsShJYdgfnsYTPGCEe3igkqJIUaSTJ7V/v86fTz7JDsEDFVMuKwh07JiamnTbbfr8cynjtXqCByomCCSpXNbRozp7Vl9+KSnbO3mCByqstlbz5ikItHOnOjsVBBnO6gkeqJggUKmkXE4NDZL04Yc6ejTbKyJ4oJLiWf2NN6quTuWy3n9fUZR8mAWCByopn1e5rOuu06RJkvTmmxnWLoIHKi7ecjNpkvJ5ffaZjhzJ8FoIHqiweFl+yhSNGqWLF9XaKmW2r56ddkDlxZVt3qwxY9TQoGHDsroQggdSVypl9SINwQNZyGitnnt4IBXxyHrhgnbu1NatWa3VZ/+CLmBk1y49+KCGDdP48Ro7VuWycqkOuozwQCriIb2+Xp2dOnFCu3dLGbxIQ/BAiurrNXmySiW1tyfDe7qLaAQPpGv2bElqb9fhw8rnCR6oUnHb06appkYHDuirry59mBaCB9JVW6ubb5akTz5RGKY8qyd4IC3xm/DDhqmxUVGklhadOJHy8zmCB1IUH3rV0KDBg9XZqdOnpVRn9ey0A1IUb7A7c0Z79+qmmzR0aMpb7ggeyE6ppCBI85Q7ggeykPoeuxhba4HURZFyOX39td54QyNHasmS1Cb2jPBA6rq7VVOjxYu1dq3GjtWhQ5LSCZ5VeiB18WR+8mQVCjp+XO3tCoJ0zsAheCB18Y7aO+/UNdeoq0vbt0spvUhD8EDq4vF8xAhNnKgg0J496u5OZ189wQNZiHfdzZmjKNKhQ/riC+VyKQzyBA9kIZdTEGjGDI0YodOn9dFHUhpH2RI8kJ2hQ3XHHQpD7dihri4Vi5We1RM8kKl771VdncaP188/p/BkjufwQKbOn9exY6qrk9I4ypbggX4gfjG+8iM8W2vR9+JBJNMfTbx8RJHK5dTen2GERx/737dCMnpDBH+Ifw30pXhmevGiVq5Ua2s6j5bxNzClR5+Jfxb5yBE9+aSam1VXp/feU21t8jn6A0Z49IHe+9C2Ns2apeZmDRyogwf1yCM6cyb9w9fxhwge/1YYKgiUy2ndOs2dq44ODRigri4NH67GRg0aRO39CIt2+Ffi6fq5c3r6aa1eLUnFonp6dP31Wr9et96a1a+k4vcRPP6h3mn8wYNatEhtbcnUPYrU1KR163TVVdTe7zClxz9RLiuKlM/rnXc0fbra2lQoqFxWsahly/TWW9TeT7FKj7+t9+n68uVavlznz6umRt3dGjNGK1fqnnuSrwNq74eY0uNv6N1C99NPWrRIW7cmy3VhqIYGbdigG25IbZMo/gmCx18V/2hKEGjfPi1YoI4OFQoqlSTpgQe0erWGDLn0d9A/cQ+Pv6R33H79dd1+uzo6VFOjUklXXqlVq7R5s4YMSQ5fpvb+jODx5+Jnb2fP6rHHNH++zp5VsajubtXXa+tWLV2aLM6Tev/HlB5/Ii75u++0aJFaW5NNsmGoxka99JL+8x+VSsrnqf3ywAiPP9S7RPfuu5o+Xa2tKhYVhgpDPfWUtmxJai8UqP2ywWM5/L54Gh9FWrFCzz2nCxeSZ2/Dh+uVV3TffcnfKfA/6LLClB6/FUUqlVQs6tQpPf64Nm2Sft0wO3681q/XhAkccXG5YkqP3wpDFYvau1dNTdq0SYWCcjn19Gj+fO3apQkTkrdlqP1yRPD4P1GkQkFbtqipSXv2qFhMRvvnn9drr2nkyDSPY0Lf4w4Mid7nasuW6cUX1d2dTOOvvVZr1qixMfmVBI6suqxxD49L7719/70WLlRLy6Vnb9Omae1ajRvHhtkqwde1u9733j7+WFOnqqVFNTXJQXRLl+rtt5PaedJeHQjeWjxu53J69VXNmKEDB5ItdCNHas0arVqlK67gpr2qELyveNw+dUpLlmjhQnV1qVBQT48mTNC2bXr4YW7aqxD38Kbid9o7OrR0qXbvTlbjo0jz5umFF1Rbm2yhQ5UheDu9x1ds366FC/XDDxowQL/8onxezzyjJ57QwIHUXrUI3ktccne3VqzQs88qDJMNs6NGae1azZ4t8XMxVY3gjcS1Hz+uRx9Vc7Mk5fMKQ91yizZuVH29lMbvlyJLfJNbiL/VCwW1t2vmTDU3J6+4haEeekg7dqi+Plmio/bqRvDVLx60w1AbN2rOHO3blxxWM3iwXn5ZGzZo+PDk+RyqHisz1S8IksOnDh/WiRPJEt24cdq4UVOmJAM7T9pNcA9vIR7kz53T/ferpUV336116zR6NGdO2iF4F/Ha+/79amvT4sUaMIDVeEcEb4rVeE98w3uJouTFGGr3xAgPGGGEB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJH/AuzsCbIyKFZEAAAAAElFTkSuQmCC", "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', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "action": "('move', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "action": "('move', [6.185651272187844, 2.2850063067786532, -55.28602273302863])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKjUlEQVR4nO3dz28U5QPH8c/sLG0DQoJCQpAaJFCC1UQlrS0p1MSKCRtsGo3iyRiP8g/ghYNnb0a9edNggFBi2gZRxGpaoUViQootKSZUbarhhxXatLs7Hma+tIiH74Gd2fbzfqUXJgtMk33v88wzPzaIokgAPOSy3gEA6SF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICRfNY7ACxTUaT5eUkKQ4Vh1nuTCKIoynofAKSEKT3woJXLknTlit58Uy+/rK++kqTqGFmZ0gMPWhCoXNbGjRoY0NiYVq/WCy+oVFI++9wY4YEHLQhUKmnlSr3yivJ5/fCD/v5b+Xw1DPIED1RAvEq3f7/yeU1NJbP6UinbnRLBAxWRyymK1NysTZs0Pa2jR6X/HdtnKvuDCmB5iiLl8zp4UH/+qX37kj9mjdNyQCXNz2vFCkkqlarhbDzBA0Y4hgcqKYoURZqa0sWLun072ZIdggcqplxWEGhiQp2dam/X+fNSxmv1BA9UTBBIUrmsa9f0118aHpaU7ZE8wQMVVl+v119XEKi3V9PTCoIMZ/UED1RMEKhYVC6n1lZJOnNG165lu0cED1RSPKt/+mlt365yWadPK4qSjVkgeKCSwlDlsh5/XC0tknTsWIa1i+CBiosvuWlpURjq3Dn98kuG+0LwQIXFy/J79mjDBs3O6tQpKbPr6rnSDqi8uLJPPtGjj6q1VWvWZLUjBA+krljM6kYaggeykNFaPcfwQCrikfXOHfX26vPPs1qrz/4GXcBIX5/eektr1ujZZ7V1q8pl5VIddBnhgVTEQ/qOHZqe1uSkvvlGyuBGGoIHUrRjh3bvVrGogYFkeE93EY3ggXR1dUnSwIDGxxWGBA8sU3HbHR2qqdHly/rpp4WNaSF4IF319XruOUn6/nuVSinP6gkeSEt8J/yaNSoUFEU6eVKTkymfnyN4IEXxQ69aW7VqlaandeOGlOqsnivtgBTFF9jdvKkLF9TUpNWrU77kjuBRFaJIpZKCQLlctjeMp6tYVBCk+ZQ7gkc1uvuuXLbxp36NXYxjeGQsvjF8dFSFgg4f1sWLkhQEyU/8gnK5Gr559cGJIuVyGhnR4cP64INkSyoY4ZGxeKg7dkyvvqowVF2d6utVKKirS089pYceWhgI4/nvcpjzz82ppkbvvKMPP9TWrRodlVKazDDCI2O5nIpFffaZJEWRZmZ0+bLef19tbWps1MGDOnlSY2Oam1M+rzBUEGhuTsXiUh7z48+w3buVz+vXXzUwoCBI5xk4BI8sxdEWi2psVEuLamuTt30QqKZGExP66CN1dmrPHr39tj7+WIODmplRTY3yeQWB5udVKi3B8uMravfu1WOPaWZG3d1SSjfSMKVHxu6elpqa0tCQLlzQd9/p7FnNzkpSLqd8XnNzyYvXr1dTk3buVFub2ttVW5tsj09vL6Wpfvxkyzfe0JEjam3VmTPJZ1iFfweCR1VY/NCnmzc1Pq4ff1RPj/r6dOdOsj0MF0bBhx/W5s165hkVCtq7V6tW3fOvLYH+4108elSvvaZ169TdrV27Unj0FcGjWsSr8YtPS8/O6sYNDQzo+HF9+aWuX1ex+O+/VVentWu1a5e6utTRoUceWUgmPrefy2Vy/uv/Mz2tzZt165bee0+HDiWLeZVE8Kg6UZQs3S8eomdm1N+vEyf07bf6/Xddv55sX/xNbbW1am9XV5d279bGjVq7NtleKqlcVhhWZfkHDujIEbW16dQp1dVJlV2uJ3hUr/i9ef/7/+xZnTqloSGNjCx8WVs+nwzpsfZ27d2rnTvV2KhNm5KN8QShusb848f17rt66SUdOqQNGyp9pS3BY8mIR/74VHzs/HmdO6dz59Tfr6tXk401NSqVFspvalJzs5qb1damLVuSjfFlvFVxnH/7tiYmtH27lMajbAkeS0yc/eIperms0VGNjKi/Xz09+vnn5JX5/MJJu1xODQ1qaNDzz6tQUEPDv//NWGb9x4sNlf/vCR5L1d3yV6xY2Dg1pfFx9fSou1uXLv3Hue1cTuvWacsW7dunzk498cQ96+IZXOEe/xpp3T9D8Fjyoij5WVxNqaSxMXV364svdOWK/vjjP+IPQ23bps5OFQratk3r16d531o2CB7Lyn+u8129qt5enTmjkZHkKt34NWG4cJ5v82bt26f9+/Xii8s5e4LHsnX/yD8xof5+DQ5qaEiDg8llvGGoMEw+BTo61NNzzzHCMkPwWP7i03VRtFDy5KQuXdLwsE6f1tdfJ7P9INCnn+rAgay+9y0NBA8j5XJyQu7uQt2tW/rtNw0O6sQJDQ+rr09PPpnVwynSQPBwFC/vL74Cp1jUzIxWrlzOB/AieJiLD/KX63h+P4IHjNh8sgEgeMAKwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4w8g81NrPH1qybXAAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIFElEQVR4nO3d36tlZR3H8e+z9jkGg3NhA4qYjjDgryzJwfyRZjVW0tgRGRsi6B/ywv8jcoScMsFKw5lmyDRhPDBiMoZN0A8lGH80c87eTxdrRzdBN2evHX5er6uzNxz2unmz1nrW8zyr9d4LyDCs+wCA6Qgegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegggegmys+wDg02l3txaL5d+bm9XaWo/m31rvfd3HAEzEGR720ngCba2eeqpOnaqquu66evrp2r+/el//eV7wsJdaqytX6qqr6v2/LU6erHGY7PHH6+jRms9rY93BGbSDPTabVVU9eXy44YZhY6Nms/7Cz+at1f/D3bPgYY8NQy0WdffddfPBxe5uzefttTdmly7V5ub6mxc87LHWaj6v2aweerBa61W1vd1Pn+pVNZ+v+dgED3tvvFd/4tiwb1+rqkuX2tmzVVVrv7AXPOy91mqxqMOH6+DB5cdXTrUPPqjZTPDwadRazWb12GPLR3FnztT581UlePj0Onaseq+Njfrkk3r11aqqYa3NCR5WYjyx33VXHTrUd3erqk4+1z/8sK/3Nl7wsEKbm3XsWBtP8qdPL/58cc1T7QQPq7JY1DDU0e/0qsUw1D8vz371UlWtc4Kt4GFVxrBvubVuv7Xt7FRr9eMfLf7XP62W4GGFeq9rr22PHm291zDUK6fq4sV1Ho/gYVXGp/HDUF99qM+GRVXt7A7PPdd7X9u4neBh5b74hXbLLW2cV/vsM4s1DtQLHlZoNqv5vA7eXA98ZfnNuTeH995b2xxbwcNqLRY1m9UD9/WhLarqg3+0559fLrCZnuBhtYaheq+Hvz4cOjRU1c6VevHF9R3M2n4ZMoxX9YcO1efvXH7z5pv17ru1sfGfXS4nI3iYQu/1yCO1uVlVdeFCf/mlRe81TrmdkuBh5Wazaq22tuqaa6qqrlyps2dba7WxMfXQneBh5cYhuhtvrDvvGEfq2m/OtD++u7y9n5LgYQrjNNsnjs2qajarc+fmb7yxqJr6Nl7wMIUx+K2t+sxVY+Kz02eGceu7KQkepjAGf9NN9eV7lk/gf/qTxft/7+P028kIHiYyTqE//v2hqjY36/xb9fbbraZdLSt4mE5rdeQbvWree/U2/PyF5ZeTETxM6nM3tq89PMzn1apOPLO4fHnSXxc8TGRcMLN/f313a7np1fm3hu3tqgm3shU8TGccn7v33tq3bzl0d+JETbk8XvAwnXGP6ttuq3vuWcZ/8mS1Nt1tvOBhOq3V7m4dOFAPPtjHjxcu1OuvT7c8XvCwBg/cV/uv7r3XRx/1Z08saqr3TAoeJjW+Xu7e+9vtd7Sq6r1+/XLt7k50VS94mFRrtbNTBw7U4S8tqnpV+8M7w+9fXy6bXzXBw9TGobtvfquNL5P+y1/7L38x0UIawcPUxqv6bz/arr++V1Xv7exv2+UrUyyPFzxMbVwws29f3X/f8pz+2u9q+1xNsJBG8LAG43O4J783G4aabdSfLvbt7Smu6gUPazBOtjlypA58djG02twcdudTxCh4WIPxIdzVV9cjR2pnp3Z26uOPp/jdjSl+BPhveq8f/HB450IdP15bW9X7yjfAaX1dL7kCqnZ369Kl5W62ExA8rN9Y4QST7VzSw5r1brUcxLDFFbASgocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wLzm311tQ+D9wAAAABJRU5ErkJggg==", "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": "495e8f0582b2ed465b1342c972e7ee54b5078e684ce1c27889afb3adbfaa7c0a"} +{"episode": 32158, "episode_seed": 1047592552, "split": "train", "timestamp": "2025-09-15T23:17:37.862650", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1047592552, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "action": "('move', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "action": "('move', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "action": "('move', [4.164373566397805, -30.918955572491452, -9.493840728068818])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIQ0lEQVR4nO3cXahlZR3H8f9ae58xygktihEZzRByhrnIN0a8ESuCwoRwRhxvzJesfCuoFIluteiiRq2kJJu0NC3Cl1EqKTDwYjJojGkualRwcBqvckpFz97r6eJs5yWEspxzZub3+dzus2Bx2N/9rOe/9tpda62ADP1SnwCweAQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQQPQQS/xFqr1pb6JIgxXuoTyLWQeu8jl0Xk7bYEWqv5+eq66vt6+eXasqVeemmpz4kMgl9UrdVkvrqu5uZqz556ZHO74IJau7Yef3z2KhxUXfMuWyzTaVXVaFSvvloP/GL40d3d5s1D1Wg8rrPOqsceq6OOWupT5Egn+MWw8D/uuqqqO+8Y7r2v+9WvW1U/Hldrsw+Cbdtq9epqbfZncDAY2h1EeztfaHjTprr99nry991kWqNRPww1mdSoGy79VF19TX/iiWrnoLPCHxTDUMNQ43FV1Uv/rIc310031bZtNZ1W39cwVFUdfXT75PnD9TeOVq2q0Whpz5cUgn+LtVaTSc3NVVXt3l2//U27+eb21J+qqh+NZlfvK1bURz8yfPmGfs2a2VHD4P4ci0Hwb6XJZLaqv/BCPfRA+94dtWVLq+qXzdVr81VVxx9f551XV1xRZ5xRdeDeHhaB4N8ae7ffe/5RP/j+cP/PuyeeaFX93LKazFdr9e53DZde1l94YZ15ZlXVZFKjkdRZbIL/v+w/Znvllbp1Y/vJvW3r1q6qG8/VdFKt1TuPHq69rrtoQ61Z01XVZFJdZ9PO0hD8/2hh8Law8d6zp+68szZurGeeqao2GnULe/Vjjmmf+2y78sr+fSdVVbVWwyB1lpLg37T9J/A7d7YHH6ibv1Y7d3ZVNR7XZFJV7YQTuvXrhi9+qT/uuH1H7b0/B0tF8G/C/hP4v/6lHnywffu2evrZquqWLavXXquqWrWqPnFeu+baWrmy23uUzjlECP6/NZ3OrsaffbY2bWr3/bT+vL1V9XNzNT9fVe2UU7oNG+rii+vkk6uqppPqjeU4xAj+P9h/fd61q771zeGhh7vt26uq25v6CSvb57/Qn3/+LPX5+RqN3FfnUCT4N/ZvA7Zdu2rjxrrrrvb8811VjcY1nVRVO/64dsON/bp1tbBXn0yq76XOoUvwb2A6nT2sXlVP76gfbqpbbqkXX6zal3q9/6Thqqu6Kz/TLV9e5dcsOEwI/gDDUNPpbCz31NZ2/8/qtlvr7y92XVfj8cIFfJ122rB+fV17Xf+Ot8+OMpbjcCH4mYXHVBdutv3hyXbPPfXju9vfXuir6vW9ep19dq1fX5dcUsceW+UL8ByGBH+ArX9s3/1OPfJoPbezq32pD6ef3l11dffxj9WKFVW+GMthS/CzJ1i2b69vfH149Jf97t2tqnv9yba2ZnX7yle7D3+oe897q0zgOcylB79wWf7cc3XuubVjR1UtPK/exuNu9Qem1984WndBHfW2qgMneXCYSv/Fm76v6bRWrqxzzlkIvlXV2Wvb5Z9ul10+uym38JHoO/AcAdJX+Hp9xr5jR61dW6ee2jZc1C65tB/1HlbnCCT4fX73eH3w1Fq+vIahWrOkcwQS/Mzee+nz8zUeW9g5Mgl+H2M5jniChyCWMwgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAgieAjyL4Cv5ORmhhQqAAAAAElFTkSuQmCC", "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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", "image_prev": "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", "image_next": "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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": "b5fd3b11f8722ebaf6c6928f9d31ea6b81833da40e61b4bc9d0d1afeb8dfe9ee"} +{"episode": 32159, "episode_seed": 722053028, "split": "train", "timestamp": "2025-09-15T23:17:38.815402", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 722053028, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "action": "('move', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJBElEQVR4nO3dT4ycZQHH8d/szi7R0mYlHsCLwoEDNYZ4EP8FIxgSpEIlMYGqJ/4YDxxMTBMx8YKREBJiNF7k4EExURAOFUU4loQDVpNWe7BGEQpE2tB4KCTd2RkPM62YFqhF3c78Pp/bbvbwzr7v932f93nemRlMJpMAHZY2ewOA/x/BQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBc9Ymk2xsbPZG8I4MJpPJZm8Dc2VjI0tLGQw2ezs4F67wnIXpVeHVV7N/f5aXMxjEdWI+CZ6zMB4nyd692bEjn/1sXnlF83NK8LydySTLy9nYyFNP5YUXcuRIVlY2e5s4R4Ln7Lz8cn796yT58pfznvdkMnEbP48Ez9n5wx/yl7/kwgtz1VXJyUE+80bwvJ3BIBsbefDBJPnUp3LFFUmy5MiZS3YbZ2EwyJVX5r3vzUc/mq1bMxoZz88p6/C8nekRMh7n5ZezbVu2bk0i+DkleM7OeGwYvwCGm70BnPdeey1J3v3u2aXetX2eOWfz5jY2MpnkF7/Irl35wQ9mS3GGhPPMkJ43NxplOMznPpdf/jLbt2f//tlDOMwtV3jexMZGlpfzpz/lwIEMh7ntNvfwC8Au5E2MxxkM8pvf5Pnns7qanTsTy+9zz/7jTKZD9/X17N2bJB/7WC69NDFjN/cEz5lMF+EOHswzz2QyyS23bPYG8d8heM5kOpX77LM5fDhbt+Yzn/nXLxfaZLLgr1LwnGY6nj9+PE88kSTXXptLLkkWfzw/XXacvspFfXOQB284zfSQv+CCfOUrOXYsu3blggsW/v2w05uYn/0sKyv5/OeztDRbplgw1uE5k+nQtmZOflr73/6WT34yhw/nrrvyjW/kkkuysZHBYKH+DQv0Uvgvmh7m0yftFt30Jf7jH7njjhw+nNXVfP/72bEjTz6Z5eUsLS3U8F7wnMmrr2bfvqrPq5xM8pGPJMmJE1ldze9+l5tvzje/mddfX6jmBc+/m+b98MO56abcdluOHs1gsDjH+5lMJ+rW1vLtb2fPnlx2WU6cmM1afuc7ue66/Pa3s1H9Apz6BM+Z/PSnefHFvPRS1tZmN7IL7dQ4ZseO7N2bL35xdopbWcnTT+e66/Ld787+DePxfGcveN5gOhV/6FD27cvKSm66KcPh7BnbRTdtfjzO+96Xn/wkP/xhLr446+tZWcmxY/na1/KFL+TPf87S0uzP5pTgeYPpN0n9/Oc5fjwXX5zrr696e9x0pnLa8+2356mncsMNWV9PkpWVPPZYrrkmDz2UpaXZhOY8EjxvMD3en3wyST784bz//YUfdHNqgeKDH8xjj+W++7Jt2+xS/8IL+dKXcuedefHFLC9nNNrsbf3Pde1L3sr0S+N+//scPJgkO3fO993qO7O8nPE4w2F2786vfpWPfzzr61leznCYBx/M9ddnz54Mh8m8PZMneE6aDlIfeSRHj+aii7JzZwaDnvH86aYjm9Eon/hEHn88u3fPflxdzYEDufXW7N6d116bLdrNy7lR8CRJJpOsrGQ8znPPZTDItddmbW1ujuL/mcFgNmu5tpb77suePbn88n8t2t1/fz796ezbN/s23bm4q/doLSdNp+gPH86jj+bKK3P11Zu9QeeRU+8kOHIkX/96HnooGxtZXc2JE3nXu3Lvvbn99mzZMrvVP58JnpPKnp8/B6dmMH/0o9xzT/7616yszKbxb7wx99yTD31otoh53q5jCp7TjEazpSdOM71dX17OH/+Yb30rjz6aJMNhRqN84AO5++7cccdmb+JbslM5OdF86FAeeCBHjmQ4PH+vUJtteiYcjbJ9e37843zve9myZfbpvs89l69+Nbt25e9/T87X53Bd4TlpNMrrr2fLFtf2s3Hq3fLHj89OmNOV+fX1rK2dv4sbgodzNI+fCeJcDudo7mqP4KGK4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KGI4KHIPwF1DOXIv5J6OgAAAABJRU5ErkJggg==", "image_next": "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", "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', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "action": "('move', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHfklEQVR4nO3cP49UZQPG4XuWXREUg64WFsbYakNoxMoCG42GLQ0JNhR+BL+DvZWVjTH+qTRRtKSwMFggIUYSY1QkUYIVamRnzlvMgMgusOElDjP3dWWzmTkzkz3JzG+eZ59zZkbDMATosDLvHQD+O4KHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoKHIoJnx4Yh4/G8d4L/y2gYhnnvAwtlPM7KSkajee8Hd8IIzw5MR4VLl3L6dHbtymgU48RiEjw7MJkkycmTefnlvPRSfv1V8wtK8NzOMGTXrozH+eKL/PRTfvsta2vz3ifukODZmQsX8umnSXLsWB5+OMPg3/hFJHh25syZfP99Hnwwzz6bXJ3ks2gEz+2MRhmP8/bbSfL883n66SRZ8cpZSJ42dmA0yoEDefTRHDqUffuyuWk+v6Ach+d2pq+QySQXLuShh7JvXxLBLyjBszOTiWn8Elid9w5wz/vjjyTZu3c21BvbF5n3bG5uPM4w5KOPcvRo3nprdijOlHCRmdJzc5ubWV3NK6/kk0/yzDM5fXp2Eg4LywjPTYzH2bUr332Xb77J6mqOH/c//BLwFHITk0lGo5w4kR9/zH33ZWMjcfh94Xn+2M506n7lSk6eTJLnnstTTyVW7Bae4NnO9CDc2bP58ssMQ159dd47xN0heLYzXcr96qv8/HP27csLL/yzkUUmeLaYzucvX85nnyXJ4cN5/PHEfH4ZOPGGLaZh796d11/P77/n6NHs3u3zsMvBcXi2MwwZBmvyy8czynZGo6yszM60Y4kInu1cupRTp3xf5fIRPP82zfuDD3LkSI4fz8WLGY18v83SEDzbeffdnD+fX37J/v0Zjy3XLQ3Bc53pUvy5czl1KmtrOXIkq6uzc2xZCg7LcZ3xOKuref/9XL6cJ57Iiy/O9+Nxt140vOO1hTt74OrqMhy1EDzXWVnJMOTzz5Pk4ME8+eTsM3Nz4pO4d53guWra9tdf5+zZJNnYmNf6/LVv1jlxImfOZM+ebG5mMslkkmH45/f1V6dzgVtsmV64dvna1a13u+GvJJlMsmdP3ngjBw/O9w3wLhA8V01fyx9+mIsX88gj2djIaDSvV/d0MeGdd/Lee9m9O1euzDbe8Pu/9Npr8/m7d5fgSZIMQ9bWMpnkhx8yGuXw4ezfP/fTaf/+O8OQv/6a4y7MLPSofj3BkySzE2xWVvLmmzl0KAcOzDbO1fp61tdnU/rpgtlo9K+fG7YkO7rbtltu/fC9e7O+PrtpoTmXnqvuvfPnv/0258/n/vtnZ/peK3B6eeuWrRdu8ahb3CHZ5tZFT31K8GwxHU/vpfLn5fo4liN4U3qufr/NuXP5+OMcO5bHHrtH1qama+Z3UNqdxbkcSd+aEZ6rNjfz55954AFj+xITPBTxXg5FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9FBA9F/gf8hoUmaZlK7AAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "action": "('move', [-22.885110687411245, 2.660338683241047, 35.484045873196884])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "b96062be6fef260597d7db2672a22906366febaed2767a3aae4634cb63c1185a"} +{"episode": 32160, "episode_seed": 4094073174, "split": "train", "timestamp": "2025-09-15T23:17:39.422129", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 4094073174, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "action": "('move', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "action": "('move', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "action": "('move', [-2.653668473156962, 3.343011440846482, 37.74409213918983])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "9959511c5af950b19f2af5673851d04e42197ca7ae1665db65726fb8d9cf8a55"} +{"episode": 32161, "episode_seed": 3207197036, "split": "train", "timestamp": "2025-09-15T23:17:40.024757", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3207197036, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "action": "('move', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJuklEQVR4nO3dzY9dZQHH8d+dmb7QaUlp0NigLNAg7qQCJk0UX2KARMWFBQVNiJr4B+jWsDIsTFy4Uxe+RGI1aSIEosGXapWgogs3RgnGIL7FFoqmrTOdmXtd3OPMtGAkWmXm/j6fxeTOyZ07dybzvc9znnPumdFkMgnQYe6lfgLA/4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjg2YrG46yuZjJ5qZ/HzBlN/FLZqsbjjMeZn89o9FI/lVlhhGdrmQ5Av/lNjh7N3FwWFjIaZTw22l8agmdrmQ7mn/1s7rknhw/nE5/Ir3+dubmNQX4yEf9/zpSeLWQyyWiUkydz3XV59tlh4xVX5NChfOQjufXW7N8/bJyO+ZtfCHgxBM8WMg3+xIm85z05fTpJRqON8fzKK3PnnXnf+3LddbnyymHjykrm5zNnqvriCJ4tZ20tP/lJjh3Lo4/mZz/L2lqS7NiRlZXhDm98Y9773hw+nJtuysJCkqysZG7OgP/vCZ6t6/TpPPJIjh/PN7+Z3/0uyTCYT8u//PLccktuvjm33ZZrrkn+uXs/Gsn+XxI8W9HaWsbj7NgxfPrLX+anP82xY3nooWHLwkJWV4fbr31tbrghR47kXe+6YG4//dMW/2aCZ+saj7O2trGLfvZsnnoq3/hGvvjFPPnkRs/TG3v25FWvyrvfnQ99KNdeu1H+2lpGIzv5A8Gz1a0fh1uPdmUlP/xhPv/5/OhH+fOfN4b6qYWFHD6cD384b31rDh4cdvLX1jKZOIdH8Gwfz5+inzqVr30tDz2UX/wif/pTkmHdbrrOt39/7rwz73xnrr8+V12VPG/KUEjwbEuTyXDW7dRjj+Xb3873v5/jx4ctO3fm/Pnh9o035pZb8uY35x3vGLasrg6r+m0EzzY2mQyD+XTe/uyzefzxfOc7+frXN1b1R6Nhzn/FFbnhhrztbTlyJK9+9QUPkpq1PcEzCy5a1X/66Tz+eL70pXzrW8M4v/kEnquuyqFDueee3HZbLrts2FhySE/wzI7pu+umo32StbX8/vc5ejT335/f/jZnzlxw5/n5HDyYO+7IBz6Q17wm+/YN22f71D3BM2vW/6I3j9XHj+f++/PjH+dXvxr2AubnhxtJ3vSm3H13Dh/O6153wal762sEM0PwzLKL4j95Mg8+mO9+NydO5A9/SDK8/XZ66t7+/bn99rz97bn55lx99fDlMzbDFzwVpgfk1nfyf/7zPPpoHn44jzwybNl8rv7rX58bbxzenztjBE+Ri47DP/dcnngiDz6Yr3wlTz013GduLuNxknzqU/n4x4f7zwzBU2d6DD/ZKPm55/LYY/nc5/KDH+Svf814nFe8Ig88kJtuEjzMiumhuM0L8n/8Y44ezZe/nOuvzxe+MIOH6AUPL7Cw/5e/5OUvt2gHM20625/hd9cJHi42ezP5dQv//i5QZiZTn5rRiQvwQgQPRbbJlH7zQsMMz7fgf2ybBH9JIv9Xy5ObH3yGl2tgG6zST4+EPvFETp3KgQPZsyeLi1lczI4dGydAPf/8iUv1rae/nOlzmNUDNTTZ2sGvX8forrvy1a9mYSHjcXbuzGSSj340n/700PxnPpNjx/LKV2bXruHlYHExe/bkwIHcfXd27kyS06fz9NPZvTsLC5mfH06nnt7Yty+7dg3fcXU1o9FMnUsJm2z5Kf10dr1vX/bvz9xczp3LZJLl5eSfFzGdTPK97+XEiRf+8ve/P+Nx5uby8MP54AeHjbt2Ze/e7N2bxcXs2pV7783tt2cyyblzue++/O1v2bs3l12WxcXh4+7dueaaHDpkkGe729rBr19w6GMfy5EjGY9z7lzOn88zz+QNb9jY077jjlx9dVZXc+5clpaytJTz53P2bPbsye7dGxc9e9nLcuZMlpayvJzl5TzzzPDl08udjkY5ezb33Te8r+Iit96aBx4YJhf28Nm2tvaU/j+wtpbz57OykqWlrK3l4MGN/0j65JNZXs7KynCH8+eHV4e3vCXXXpskZ87k3ntz8mSWlnL2bP7+9+H15dSp3HVXPvlJU322u20S/PRiZeumS3Tr+U3/ycB0Xe2/HH5XV7O6mrW1Cz4uL+fyy3PgwH/1yLAFbJPgX4zNP8j67fW97vX3QF/0816SlwnYJmYo+EviBX8bDZcvpoPgoYjjTFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkHzSKd0Os3Uf8AAAAAElFTkSuQmCC", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJuklEQVR4nO3dzY9dZQHH8d+dmb7QaUlp0NigLNAg7qQCJk0UX2KARMWFBQVNiJr4B+jWsDIsTFy4Uxe+RGI1aSIEosGXapWgogs3RgnGIL7FFoqmrTOdmXtd3OPMtGAkWmXm/j6fxeTOyZ07dybzvc9znnPumdFkMgnQYe6lfgLA/4/goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjg2YrG46yuZjJ5qZ/HzBlN/FLZqsbjjMeZn89o9FI/lVlhhGdrmQ5Av/lNjh7N3FwWFjIaZTw22l8agmdrmQ7mn/1s7rknhw/nE5/Ir3+dubmNQX4yEf9/zpSeLWQyyWiUkydz3XV59tlh4xVX5NChfOQjufXW7N8/bJyO+ZtfCHgxBM8WMg3+xIm85z05fTpJRqON8fzKK3PnnXnf+3LddbnyymHjykrm5zNnqvriCJ4tZ20tP/lJjh3Lo4/mZz/L2lqS7NiRlZXhDm98Y9773hw+nJtuysJCkqysZG7OgP/vCZ6t6/TpPPJIjh/PN7+Z3/0uyTCYT8u//PLccktuvjm33ZZrrkn+uXs/Gsn+XxI8W9HaWsbj7NgxfPrLX+anP82xY3nooWHLwkJWV4fbr31tbrghR47kXe+6YG4//dMW/2aCZ+saj7O2trGLfvZsnnoq3/hGvvjFPPnkRs/TG3v25FWvyrvfnQ99KNdeu1H+2lpGIzv5A8Gz1a0fh1uPdmUlP/xhPv/5/OhH+fOfN4b6qYWFHD6cD384b31rDh4cdvLX1jKZOIdH8Gwfz5+inzqVr30tDz2UX/wif/pTkmHdbrrOt39/7rwz73xnrr8+V12VPG/KUEjwbEuTyXDW7dRjj+Xb3873v5/jx4ctO3fm/Pnh9o035pZb8uY35x3vGLasrg6r+m0EzzY2mQyD+XTe/uyzefzxfOc7+frXN1b1R6Nhzn/FFbnhhrztbTlyJK9+9QUPkpq1PcEzCy5a1X/66Tz+eL70pXzrW8M4v/kEnquuyqFDueee3HZbLrts2FhySE/wzI7pu+umo32StbX8/vc5ejT335/f/jZnzlxw5/n5HDyYO+7IBz6Q17wm+/YN22f71D3BM2vW/6I3j9XHj+f++/PjH+dXvxr2AubnhxtJ3vSm3H13Dh/O6153wal762sEM0PwzLKL4j95Mg8+mO9+NydO5A9/SDK8/XZ66t7+/bn99rz97bn55lx99fDlMzbDFzwVpgfk1nfyf/7zPPpoHn44jzwybNl8rv7rX58bbxzenztjBE+Ri47DP/dcnngiDz6Yr3wlTz013GduLuNxknzqU/n4x4f7zwzBU2d6DD/ZKPm55/LYY/nc5/KDH+Svf814nFe8Ig88kJtuEjzMiumhuM0L8n/8Y44ezZe/nOuvzxe+MIOH6AUPL7Cw/5e/5OUvt2gHM20625/hd9cJHi42ezP5dQv//i5QZiZTn5rRiQvwQgQPRbbJlH7zQsMMz7fgf2ybBH9JIv9Xy5ObH3yGl2tgG6zST4+EPvFETp3KgQPZsyeLi1lczI4dGydAPf/8iUv1rae/nOlzmNUDNTTZ2sGvX8forrvy1a9mYSHjcXbuzGSSj340n/700PxnPpNjx/LKV2bXruHlYHExe/bkwIHcfXd27kyS06fz9NPZvTsLC5mfH06nnt7Yty+7dg3fcXU1o9FMnUsJm2z5Kf10dr1vX/bvz9xczp3LZJLl5eSfFzGdTPK97+XEiRf+8ve/P+Nx5uby8MP54AeHjbt2Ze/e7N2bxcXs2pV7783tt2cyyblzue++/O1v2bs3l12WxcXh4+7dueaaHDpkkGe729rBr19w6GMfy5EjGY9z7lzOn88zz+QNb9jY077jjlx9dVZXc+5clpaytJTz53P2bPbsye7dGxc9e9nLcuZMlpayvJzl5TzzzPDl08udjkY5ezb33Te8r+Iit96aBx4YJhf28Nm2tvaU/j+wtpbz57OykqWlrK3l4MGN/0j65JNZXs7KynCH8+eHV4e3vCXXXpskZ87k3ntz8mSWlnL2bP7+9+H15dSp3HVXPvlJU322u20S/PRiZeumS3Tr+U3/ycB0Xe2/HH5XV7O6mrW1Cz4uL+fyy3PgwH/1yLAFbJPgX4zNP8j67fW97vX3QF/0816SlwnYJmYo+EviBX8bDZcvpoPgoYjjTFBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FDkHzSKd0Os3Uf8AAAAAElFTkSuQmCC", "image_next": "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", "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', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "action": "('move', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "action": "('move', [-4.958522622085816, -0.6174891014208707, 5.987278624845999])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJEElEQVR4nO3cS29U5wHG8ccXsIMBpTRAEbcac1HVSJUSpesus6myaqVSdZ0PkA/AKsoui3yJLKouumikbLroB+iqUsvFKJFFIwUDbYqNbWxPFzM14DghCm4weX4/jazR3M6MOf/3vHPOMWODwSBAh/Hn/QaA747goYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgoYjgd81g8LzfATzN5PN+A98fY2OPrg8Gj/of3v74vfC8jA1smHbD3bsZDDI9nf37s2/fDg/Y2MjmZsbGnrjAd0zwz2p9PRMTeeutfPxxXn01c3O5cCEXLmR2Nj/8YQ4fzuHDOXQoExPbn/jwYQaDjI1lfNwQwHdE8M9qYyMTE/n5z/PXv2Zj44m7pqZy9mx+/OOcPZvZ2Zw6lWPHcuxYjh/PsWOZfPLr1GCQ9fUkZgH8Hwn+mWxuZnw8d+9mbi7/+tfoxrGx0ax+fT2bm088ft++/OhHOXFi9PPkyZw5M7qcPbt9CBi+fh77/q9/npHgn8lwTr68nI8+yt/+lhs3Mj+f69dz5872Rw7n7dumAEkmJ/Pyy6PLD36Qc+dy/nzm5nL+fM6fz0svPWXpw389+wX5hgS/m9bWsrqaBw/yn//k5s38/e+5di3Xr+cf/8jiYtbXs7GxQ/PbjI9naipTU5meziuv5NKlXLyYixdz6VLOn8/Bg9m3b4e5wNDwxb+8vwCGBL87hpv6r3HvXq5ezfXruX49167lxo38+9+5fz9LS1la2j7z/ypjYzl5Mpcu5cKF0RBw+nQOHcrBgzl4MNPTu/JR+D4T/C57/Nf59UPA8nLm5/PJJ/nkk8zPZ2Ehi4tZXMydO7l9e/sQMDaWyckMBtnY2H6Gz9GjmZ3NuXOZnc3sbH7607zxxs6HBuEFCf6bZ7SHDb9yDz/KYLDDtHxlJbdu5bPPcutWbt3KP/+ZhYXcupWFhSwsbO98YiKTk9nczMOHT9z+y1/m97/P1NTTJx0UekHOtNuVNferhrZtp8jt1uJ2Ws6Xz8YbDLK5OYpzejpzc5mbe/SYtbXcu5c7d3L3bj7/PJ9+mvn53LyZmzczP5/V1Sdef3o66+v52c/Uzlfa88EP19xr17K4mCNHcuBAZmYyM5N9+x7tmxp2M/60vwv4JgXseH7s1vkxu2qr/22fY2sImJjI/v05fjzHjz961uZmlpdHl9u3c+3a6HL1ahYWcu9eTp9Oko2Nr9yxR7O9PaUfrvsTE7l8OR9+OJrC7t+fwSBvv5333x+18sEH+cMfcupUpqZGw8HMTA4cyJEj+e1vs39/kty7l4WFTE9ncjITE5mYyPj46MqhQ5maGi1xfT1jY3tnN/fjY07+d2xvR8O5/c2beeWVHD1qC8/O9vxWYLjaHjqUl1/O+HiWlzMYjOayw03uYJA//zl/+cvOT//Nb0Ynx/zpT/nd70Y3Tk2N9mvPzGRqKleu5K23MhhkeTnvvZcvvsjBg3nppczMjH5OT+fcubz22q5v5J/qyyfbbRuft+4dHsz7yU+23w6P29vBb63v77yTX/1qNJ1dW8udO3n99Ucr9a9/nTNnsr6e5eWsrGRlJWtrWVrKgQOZnh4dm56czNGjuX8/KytZXc3q6qOTYz77bLSspaW8997Oh8jefDN//ONocvFcY/r6hT/vd8det7en9N/CxkbW1vLwYVZWsrGREydGEdy+nRs3srqahw9HD1hbG40Ov/hFLl5Mkvv3c+VKbt/OykqWlvLgwWh8WVzM5ct59929M9WHb+cFCX5z84kN73AX3VZ+w2PTW3939izW10cnxD3+c3U1hw/nyJFnemXYA16Q4L+Jxz/I1vWtb93D/X/Z6Uvwsw8T8IL4HgW/K3b8bQynDwYFXnyChyL+E0soIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8l/nsxGHTeTZgAAAAABJRU5ErkJggg==", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "43b11cb5b7202d729a90b406d6841a377bd545d1605050527b783f700726949d"} +{"episode": 32162, "episode_seed": 3491036526, "split": "train", "timestamp": "2025-09-15T23:17:40.977192", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3491036526, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "action": "('move', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "action": "('move', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "action": "('move', [0.0816665313876888, -4.443657129943661, -14.952176593146817])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJwElEQVR4nO3dOY8dVR7G4ffevt0NNthtFi80yLa8IRYJCSLSSUjRBCSTghDBfAbEJ5jJCCeHgG8AOQFCCCHbYDAybTfYGDfNYvddJqiSmy2jmlvc//NE5Up8kl+fU6eWO5jNZgFqGM57AMBfR/BQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0JG8x4ALIjJJNNpZrMMhxn1NazBbDab9xiAv0hf/xDB38RslsEgk0nefz8ffphLl3LyZF59NZNJlpbmPbjfMcPDn9IENJvlpZfy9ttJ8tRT+eij7OxkeXm+Q/sDNu3gTxkMsrOT4TD33psko1Fms2xtZXk5PZxMBQ/dOHUqScbj3LqVL75IInhYRINBkpw40a7hv/sun3+eCB4W0nCYJCdOZG0tSX74oQ1+Op3joP6Y4OHPamb4kydz//1JMpuZ4WFxDQaZTvPoo23wSa5eTZKlpd41L3j4s5r78MNhjh5tz2xu5tYtwcOCalb1Z8+2/9zcbCf5vhE8dKDZtzt7tj24dq0N3gwPC+vMmayuJsnWVht83zbqBQ8daJb0585lNMpgkNksGxu75/tD8NCBu8/e7NvXLuO//DLp30a94KEbTdjNA7ZJLl/O9rYZHhba44+3B5cv5+bNpGf7doKHLp071x588YXgYdE1M/zycm7dynffzXkwvyd46FIzwzeX7pcv7x73hOChS4cP5777Mh4nycWL7Tct+6NPY4G/v5WVnDvXPm9z8WJ2duY9oF8TPHSjWbqvrubMmfbMp5/m55+TPu3bCR66NBq1r9AMh7lwoQ2+PwQPnWlm8mbfbjTK1la+/Xa+I/otwUNnmuBPntw9Pn9+nuP5PcFDx9bWdjfqm+D7c2dO8NCZJuwDB3LqlBkeajh4MMePt8eChwW3f397GT8Y5Pz5Ht2Ti+ChQ83XLAeDnDiRJMNhtrfbF+N7kr3goUvNM3br6+3xZNKvVb3goUvNk/NHjuTAgcxmGY9z4ULSm4/bCR661GzUHz6cRx5JktnMDA+L7ujRHDvWHjfBu4aHBdT87NTa2m7wV6706CXZfowCFsVg0D5jdzf47e189VWGw15M8oKHPXH8eHs9/8MP+eyzpB+resFDx5rV+/Hjue++JNne7tHPxQseOtZM7MeP59ChJLlzJ5cuJYKHhXQ3+LW19kwTfB8IHjrWPGC7ttbO8Ek2NzOZZHl5/pfxgoeONXfmkjz2WHvm+vVcu9b+yOR8CR6616zqz55tD65fb39Mdu6X8YKH7jWdnz6dlZUk+frrXLmS9ODOnOChe03wZ85k3z2TUcbT8XRjY96tJxE87IW7wY/vWRpnNJ4OL10apAcftxvN+f+HRdTs2x08mH+svP9jrh166sTzzz+d6XQ0Gs5m88xe8LAnhsPk9u3/7fzrYC7k32/kn09nZ5LhcL6TvCU97IFmO35j4+BPV6dLK3f2PT6Z9GBBb4aHPbSxMf3pzmB1tLL+cJaSieBhITWT+alTw//+J7dutb8v2YN34gezud8ZBP4q8/+TA4tsMmk/iNEPgoc98+OPWVrKqEcXzoKHPdDM6i+/nCeeyBtvJD14jD6J4KF7zTcrZ7N8/HE++SQ3b7Yne0Dw0LUm+OvXs7OT4bDdou/BTfgIHvbK5ma+/z7TafuTFP0geOhac7n+9df5/vsMBm3wZnhYTM3lehP8ykoefXTeA9oleNgbN25kMMj+/TlyJDHDw6JqlvTnz2c8ztpalpbmPaBdPXokABZEU/hzz+XFF9st+t7wLD3spTt32u/a9YPgYW80C/sevCH3S4KHQlzDQ6em0wyHuXQpb76Z5eW89lrW1+c9pl1meOjUZJKlpbz7bl54IXfu5IMP8swzme+XK3+hXxcY8LfXzKBbW5lMsrqao0fnPaBfETx0qgn+5s1MJjl8uFcvw0fw0LFmW/769SRZX8/y8nyH8xuCh+40L8Ym2dxMkkce6dVN+AgeOjYY5PbtfPNN+57c6mp7sh8ED13b3s6VKxkMcuxY3x686ddoYBFMpzlwINNpjh1L+vJxq4b78NC1ySQ3buTbb7O+nvvvn/dofkXw0LXePGbze5b00LW+1h7P0kP3Ll7Me+/lySfz7LPtLn1vmOGha++8k1deyeuvZ2sr6demneChU7NZbtzI8nIOHMi+ffMezW8JHjo1HufKlezs5MiR7N8/79H8luChU+NxNjaS5OGHk2Qy6dUenuChUzs7+eqrJHnooaQvvyF5l+ChI83m3HicL79MkkOHkt7dohM8dOrmzfz8c1ZX2+B7RvDQqatXs7SUBx/MAw8kvZvhPXgDHWnafuKJvPVWbt/O6dO7J3vDs/RQiCU9dG067dvm/F1meCjEDA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUMj/AXY6EC54X1zUAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "92f434827c8f4728f158ccf5b4ba9b82570b6e2baa7f2bb27c60a29b15c94567"} +{"episode": 32163, "episode_seed": 4217568719, "split": "train", "timestamp": "2025-09-15T23:17:41.585536", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 4217568719, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "action": "('move', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "action": "('move', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "action": "('move', [0.5960597008118008, 1.131245366778358, 38.18316487728524])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "40e54f633401830955d342a06c7ac000c591a0385e432f5021b8bc6c44377c4c"} +{"episode": 32164, "episode_seed": 2643780926, "split": "train", "timestamp": "2025-09-15T23:17:42.192381", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2643780926, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "action": "('move', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "action": "('move', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "action": "('move', [4.22531091922279, -7.217150168681861, 9.65119090996283])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "88f150ac517ea0db37931f78430c27dc75802303ebaf87e1b6d60a8c2ec8e36e"} +{"episode": 32165, "episode_seed": 475513399, "split": "train", "timestamp": "2025-09-15T23:17:42.798925", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 475513399, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "action": "('move', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIBUlEQVR4nO3by4uWZQPH8d8zo0jlokhM0U2bICLKgpblImhXgopCERJm2xZBq6BNEC07oNLUJqJAg0CCIOhfKMggKEQ8ULYoMiNjfOZ+F/M4modee18P4/w+H4bhfg7iPcPzva/rvrhmNAxDgA5TN/oEgOtH8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBk2Y0+AVhEhuHCZ0ajG3Ee18xouPhHhG4XN/Ffn7mSf3KxhavJMGR6OlPXfsIteChiSk+7YcholNOn8+67+f77rFiRYcjUVEajTE1d9uCfXz3/+/kHl3w4PZ1Tp/LYY7n77snJXDtGeNrNzWVqKidPZuPGfPXVDTuNPXvywguZnc3y5dfwfzHCQ5IMQ1auTJLp6YzHlx1m/2H4vZKR+ZJ3/itW5MyZLLsuLQoekmQ0ypo1WbUqt92W2dmMxxmGyfe5uYzHyd9zvdzxlb+08Mzy5RmPr8eKXUzp4crNxz/f/8LxxV/zV4oLHp7//gseJvnjj9x3X9ascQ8PXD2m9HDV/J+j53XY5CN4uGoW/7Y8e+mhiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOCvqmG40WcA/0TwV8ncXJKMRkly+vTkISwygr8ahiFTU0ly7FheeSUbNuSbb5LInsVm2Y0+gSVhNMp332XfvrzzTk6cSJLPPssDD0yuArBoCP5/MgyZm8v0dMbjTE9n79689lqOHk2SNWuyZUsefzzDMJnhw6Ih+H9vvuTp6clxkqNHc/Robr89u3Zl8+Y88si5l2AxGQ0+l1dobu7cFP3Ysbz3Xl56KbfemtEoJ09mZiYbN+ahh5LkzJlzVwRYTAR/BebX3haW5Xbvzvvv56ef8vrrefnlv10IFqb6sCiZ0l+B+Z5/+CEffZS3387PPyfJ2rX59de/vW1uzsDOImeEv4z5X8tolGHIwYP55JPMzOT48SRZty6bNmXnzjz44A09RfjXBH8pCwvs84vwzz+fmZkkWbUqO3Zk69bJstyZM1lmisTNxOf1PAudj0Y5dSorV06ef+KJfPFFNm/Ojh25//4kmZ3N1JTauekY4ZMk43Gmpia1Hz+eN9/Mxx/n889z771JMjubX37J6tWTGb5lOW5atoJlEvBolEOH8uqr2bAhb7yRI0fywQdJMgxZvjx33ZXRaLJcr3ZuWt2T0vk5/NTUZFlu7978+GOSrFuXJ5/Mli2XeCfczCqn9MNw7nb9r7+yZ0/eeiuHDiXJ6tV55pls23Zut5ztsSwhZSP8fMDzXzm7CP/ttzl0KHfemZ07s21bNmxIktnZTE8b0lliakb4+bbnHT6cL7/M9u255ZaMRjl4MAcOZNOmyRLd3FyGwY06S1JB8ONxcnal7fDhzMxkZiYnTuTTT/PUUxdO2s9froclZ6lP6RfG6oMHs39/du+ebIxdv36ybW6h7fP/Bg6WqILgv/46+/blww9z5EiSrF2b7dvz9NN5+OG/vdOoToGlO6WfH7H//DPPPpv9+5Pkjjuya1e2bp2kbmMsfZbuJ340ynicFSvy6KM5cCAvvpjnnss99yRn7+rVTp+lO8Ln7CD/++/57besXz958vzleiizpIO/wPzfq7tXp1hT8FDPTjIoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngo8h/mQ86cDzLn0wAAAABJRU5ErkJggg==", "image_next": "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", "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', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "action": "('move', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "action": "('move', [-3.9179407099937404, -2.6594021746871515, -50.95100944712889])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAH+ElEQVR4nO3cW6+cVR3H8f+aPRuKUl4CV30LlN2koNVGINhyCFCsool4ISYkXBAiaUrEY4jGQJQrSA9apXKDF5jIodZdwUM4mfIuuKBACSHMnmd5MdNSCmrAQ3fn9/nc7b1nkudif2c96z+zpvXeC8gwOtcXAPz/CB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCP5/Yjqt3s/1RcCHjM/1BSya3msYamnpXF8HfBQr/H/NbElvrZaW6siReu21c31B8CGC/0/NlvSqaq2q6sUX6vrr+0031UMPzf8K60fr/iU/qd5rOq3xuKpqMqlXX+0/+H5/8nf13nujqrrkknrppdq0qXqfvxbAOWcP/wlNp1VV43ENQ/3lz/2RR+rgL3rVqLUajWoY+tpaW12tTZts6VlHBP+xDUMNw3xhf+aZOny49u/rvdp4PGqtJpPeqm68sW67rXburCq1s464pf8YTo/lqurIkXr00XryyXr77VpaqtZqba2q+q5d7Stf7td+sbmNZx0S/L/Xe/Veo1Pzzb/9tX70w+HYc+3EiVY1u4GvqmHnjnbXXbWypV100Xx7P3shgPVD8P/KmWO5tbU6fry+d//w9LP1zjujqmqteq8NG2rr1rrvvrr88rrggvkjpc76JPh/am2tRqMajWptrV58oT/8cB361XwsV1W9940Xt5Ut/Z572vbt86cMQ7UmddYvwX+EM8dyzz5bj/269u0fqkanl/rl5X7NNXX712vnda0+uLeH9UzwH3Dmdv3pp+vAgXriif7uuzUet9ZqMqmqfuuu2r27duxsVTWd1ux9ODgvCL7qQ0v088/3n/y4rx4bnThRdcZY7sYb2h3fqiu2tgs3fOAuAM4X6cGfedZlGOqVV+q73xmOrraTJ1udGsstL/fPbas9e9plm2vDhipjOc5b0cGf7nYyqZdf7g/+tA4/3mfnC1qr3vvGjW1lpe69t7Ztmz/FWI7zWugt6ey8+uyG/Ogf+qFDtW9/rxqNl1pvNV2rCy+s7Z+vb95R1147f8rshdF2nfNa3Ap/5ljuqafq0KF6/Df9vUkbj2dLfa+qXbtq95fmE/jptEYjSzoLIiX4s8Zyx47Vgw/W0aP1xhvzMft0WlXDLTe3279R27a15eX58RifhGeRLH7wZ30FzYsv1P33D396rr355vtjudb61VfVt+9tmy+rDRdVGcuxoBY5+LPOq//9lf7AA/2J39YwvL8Rv/jiWlmpvXvriivmebuHZ4EtcvDDMN+rr/6x7z9QBw/2qtHsN8NQn/5UfeazdeeddfXV88f7wBwLb5GDr6qnft8fO1yHftmnQ1teblU1mVSrfvMttXt3XXddK++0kWQxg599q9SePfXzn9VbJ/toqY1OnVe/9db62lfrC1e1U4M6YzmCLPL78JdeWm+drKWlNp3WUMOOHe3uu2vz5ubTcsRazBV+ZjKprVvr+PG68sq+d2/bslJL4ypjOYItcvBVtbpar79eN9ww/9FYjnALHvyMsRzMLPIevqqGoXo3loO5iBUemHH4C4IIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8Azxa0ZcCyp+GAAAAAElFTkSuQmCC", "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": "424b58610c23b1ff0dabf98c3abba0ada29e44973025cbf157c71a03bc23bd49"} +{"episode": 32166, "episode_seed": 52137853, "split": "train", "timestamp": "2025-09-15T23:17:43.747860", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 52137853, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "action": "('move', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "action": "('move', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "action": "('move', [4.169922065377493, 5.582245050840972, -56.81161571424163])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAJ5ElEQVR4nO3dT4icdx3H8c/s7K7VEjGlSpUSUcTgxUONGlFbhRoPim0QS7UK/gEFEfGi2FhykFbEInhQT0VBEJEISosGQyhS9CCSXqoFUYo1iNHQkK6SmN3ZeTzM2IaabnNJlp3P60UOy+5k9pmF93x/8zzzPDMahiFAh6Xt3gDg6hE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FBE8FFne7g2APsNwiW+ORlfhNwseLsMwZDp99uuLLS1l6X8r5cnk0jEvLWU8fva/D8M876sS+cVGwyW3D7hqptNsbGRl5dknjivGhIctzabx2bN5/PEsLWUyyWSSzc35v42N3HRTbrwxSSaTHD2af/5zfrPZDYYh6+t5zWty8OD8rn75yzz8cIYhGxvzexuNsraWT386N9+czc1n1wJXgOBhS9NpxuP87nf52MeyvDyv9JngJ5N873v56EczDLlwIV/4Qp544hJ38ta35uDB+V09+GC++91L30bwsM1mr3nPncs//nHpG5w7N/9iZSUvf3n+/ve87GUZj7O6mpWVXHNNLlzI/v3J/16xv+1teeKJXHttxuMsL2dlJS9+cc6fz759Sa5o7fEaHl7AbB3+1FP5wx/yohdlZSUrK/NQZ1/s3p2XvGR+47W1TCbzaEejeeHDkNXVXHPN/DazZfzs5frsNqNRhiHj8VXYhyd4KGJJD5fn+Ubjc8by9h1jvxwmPBTx1looIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoIngoInhIkun0eT8edpEIHjIMWVrKaJTpdLs35QoTPO2GIaNRzpzJ+nqWlrK5ud0bdCUJnmqzZfy//53Pfz63354//Snj8XZv05UkeKrNxvuRI/nhD3P0aG6+OT/5yfz7C2l5uzcAts2s9pMnc+hQRqOsrOTUqbz2tdu9WVeSCU+10Shf+UpOncp4nPX1fO1ruemm+RPBQhoNi7p2gS1Np1layoMP5rbbMh5nczP79uXYsezePf/RQlrQhwVbmo2506fni/kku3blq1/N7t3Z3FzY2iN4Os2q/sY38vjjWVnJ5mY+/OHcemsmk0WuPZb0FJpMsrycX/0qBw/m6aeT5HWvy/Hj2bNnkRfzMwv94OD/TKcZj3PuXO67L2fPZnk5w5C7786ePYs/3iN4Oj3wQI4fz3icjY287335xCcyDFkuOEhtSU+R2fG2P/8573xnTp/OMGTXrvz2t3n965Ms7KG4i5nw1Ln77pw6laWlTKc5fDh79yYdtceEp8dsvP/4x7nzziwvZzLJu96Vn/0su3ZlNBI8LJDpdH5K3L59efLJLC1ldTVHj+aWW7K5ueAnzFzMkp4KsxPd77knf/nL/H11n/1sbrll8Y/DPYcJz+KbHXg/diwf+lDOnctkkje8IceO5VWvStIVfNNjpdLsajanT+fee7O2luk0q6s5fDg33jj/UZWyh0ufWdXf/35+/eusrmY6zW235Y47ul66P8OSnkU22zP/+9/n7W/Pv/6V0Si7d+fRR7NnzyKfA7sFE54FN53my1/O2lrG40ynuffe3tojeBbYrOof/CA//3nG40wmufXWfPzjC3v5qsthSc9imtX+17/mHe/I3/6WJNddl4ceyv79dYfiLtb6uFl0s6tNHz6ckyfni/nPfCZveUvFKXFbMOFZQLMD7z/9ae66K//5T4Yhb35zfvGLXH999XiPq9ayeKbTLC/nzJncd1/On8/yckaj3HNPrr9+/kTQrPi5jgU1DNnczLe+lRMn5vvqPvKRfOAD8yeCcpb0LJTZvroTJ3LgQNbWsrmZG27Io4/mFa8oOiVuCyY8i2Z9PV/6Us6cyWiUYcjXv54bblD7nOBZHLPx/sADefjhLC9nYyO3354771z8z4S9fJb0LIhZ7U8+mTe9aT7ed+3KI4/kjW9s3zN/MX8GFsR0muk0X/xinnoqS0sZhhw6NK/dYv4ZgmcRTCYZj3PkSB56aP7BEvv351Ofmr/9RvDPsKRnx5vN8JMn8/7357HHMh7n2mtz5EgOHHDg/blMeHa22cAajfLtb+exx+bj/a67cuBANjbU/lwmPDvbbIfcI4/kPe/JxkaSvPrVOXEi113Xew7sFkx4drzz53PoUNbXMx5nGHL//Wp/XoJnB5tdvuo738lvfjO/1Pwdd+SDH0zsqHselvTsVLMZ/sc/Zv/+rK0lyStfmePHs3dv49UpL5O/CjvVMGQ6zec+l7Nns7IyPwi/d6+32WzFH4YdaVb17D0243EuXMh735tPfjKxmN+SJT073je/mR/9KPffn3e/24H3FyB4drbZK/mnn85LX2q2vzDBs+PNPlLCcbjLIXgWgR11l0nwUMSzIhQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBQRPBT5L9yufiekx3XqAAAAAElFTkSuQmCC", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "964b5d49a0dd31956bc86036744838580c978b906d76a65734fdf531153ff9a3"} +{"episode": 32167, "episode_seed": 1792756106, "split": "train", "timestamp": "2025-09-15T23:17:44.354854", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1792756106, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "action": "('move', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "action": "('move', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "action": "('move', [2.3239484660220344, 0.661030762698397, -8.538958599990726])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "77e97a4f914360b0357ebb7c501e551f4a8761d7121c0d20391df812131f46c8"} +{"episode": 32168, "episode_seed": 1491107002, "split": "train", "timestamp": "2025-09-15T23:17:44.968956", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1491107002, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "action": "('move', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKWklEQVR4nO3dy4+ddR3H8c9z5sx0mqrpUAxFbAqUQkqLbSkLN27csFMTJa6qxEsMSEKEFVsWhD/AqCtXsCFeuMboql52GCu9ANPo4MBUBISmWLCXmfO4OKeXmba2BevMOd/XK5MuzjyZ+XXmvOf3e37PM3Oatm0D1NBZ7gEA/z+Ch0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQie09p2uUfAVSd4Tmua5R4BV53gOe299/Lee4mpfpQJniTJs89m167cd19OnUqvt9yj4WoRPEmSV17J3/6WPXvy4osZG8v8/HIPiKtC8OX1F/Df/nY2bMjbb+e557KwkI4nxmjyfS2vadK2ueaafPe7SfLEE5mdTadjYT+SBE/Stul08pWvZN26zM3lF79IYpIfSb6pnJ7kt23L7t3ZtCnr1i33gLhamtY1GJK0bZomb72VVauydu1gPW+SHzmC5zwLCxkbW+5BcFX4Ec452jZtm7GxfPBBZmYGjzBCBM85er00TX70o9x+ex56aPAII0TwnOfEibz+evbsyW9/6yacESN4ztHfpfvOd3LjjTl6NE8+aYYfMYLnHP3rc5/8ZL71rSR54YUcOJBu1yQ/MgTPedo2996bqan8/e955pkk6XTs3o0GwbNY06RpsmFDdu9OkqeeyuHDgh8Zguc8/fP2b34zq1blwIH8/OdqHxmC5zz9M/ktW/K1r2VyMm++mVOnTPKjwZ12XEivl04ne/fm0KF8/evJ6XtvGXKC51L6d+OofSR0l3sArGC9Xnq9dD1JRodzeC6uadLt5uWXs3t37r03SRYWlnlIfDx+eHNx8/MZH8+TT+aJJzI1lf37s3Wr36UbamZ4Lq6/mL///qxfnyNH8tOf2qsfdoLn4vrX5264IV/9apK88EJmZzM2ZmE/vATPf9Vv/sEHs2pVZmby1FODRxhOgudSmiabN+eee7KwkF/+Mm+/nW7Xb9ENKcFzKf35/Hvfy8REXnwxv/nN4A/jMIQEz+XZsSNf/GLm57Nnz2CjXvNDyGU5LqV/0v6JT+Thh7NlS3bvHvydDPfeDSG31nJ5zr2X3n31Q8uSnsvTn+f7F+T6tZsqhpDguRKdTo4cydNP54c/dH1uGFnSc9nm59Pt5vHH88gjWbs2Bw/m+usTJ/PDxAzPZevv1X35y1m3LkeP5sc/TtO46264CJ7L1n8N6S1bcvfdads891z+8Q8vLD1cBM+VaJr0evnBDzI2loMH8/TT6XRM8kNE8FyJpkmnk7vuyt13Z34+P/tZjh5Nt2v3blgIno/kgQfSNPn97/OHP9iuHyKC5wr12/7CF/L5z+fkyfzkJ/n3v/2e/LBway1X6Mydtt//fjqdfOMbg0dcnBsGrsNz5frPmePHc+xYPv3p5R4NV0DwfDz+xN1QETwfVf+ZYyU/VJzD81FJfQjZpYdCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQyEgF3+ul11vuQcAK1rRtu9xj+B9bWEhOv3h503gVczhrpGb4vXszN5exsYyNpdNJp7Oo9rY9+wY1jdQMv3Vrjh3LunW59dbs3Jnt27NjR9avv/DBvV7a9uwSwEKACkYh+H63r72W227LqVNnHx8fz/h4rrsuO3dmx47s3JmtW/OpT2XNmkxOLv0I8/OD+JsmnZFa98BZoxP888/nS19atFzvd7tkG++mm3LHHYO3jRtz7bW59tqsXbvomPn59HqDM4Il5wUw1EYn+JmZ/OpXmZ7O3FxmZzM7m3ffXXTYxETadtESIMmmTdm8Obfemk2bcuON2bgxGzdeoP/E5M8oGIXgl+j1MjeXN97I4cOZmckrr2R6Oq++mqNHzx7T39hbWBhs6fd1u9mwIZ/9bG64ITffnNtvz223ZcuWrFmz6OMv+YKZ/xkioxN8r5eFhbRtJiYWPX7yZI4cyZEjeeutHDyYffuyb19eeikffrjosE5n6eJ/cjJTU5maynXXZdu2bN+ez30u27Zl9eqLDqDPtUBWrNEJ/oxzL781TcbGFr2318uJEzl+PK+9lj//OXv35k9/yl/+kg8+yIkTg9X7BXW7mZjI6tW56abs2pXt23PnnbnllkxOZnJy6WeBlWkEg1+i///r/3uxM/D5+Rw8mJdeGsz/b745WBQsWQU0zdL1/MTEYP9v+/bccUfWr88112RqaulVAFghRj/4C/rv5+EnTw7O/F9+OX/9a+bmBm/Hj589ptNJt7t0F2D16mzdmk2b8thjufnmwRIDVo6iwZ+vbQe34rRtxscXvevYscG2/+xsZmYyPZ1Dh3Lo0KKfGuPjaZrB9bwkf/xjdu0aXNuDlUPwF3Am/l4vTbO0/3/9K//8Z955J3Nz2b8/Bw5k//5MT589YNu2/PrX+cxnzPCsOIK/tDMzf9sO7tI/14kT+fDDvP9+pqezb19+97ts3pxHH82aNYJnxRH8lTmzBdiP2Yqd4SL4j+vcr5/5nBWuu9wDGHoiZ4hYkkIhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwU8h++yJdPd2F85wAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "action": "('move', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "action": "('move', [4.702844199962871, 3.230460646629096, -18.415944370059293])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "e9ca5d50cb847ee25605fbc12d629702160956d520b454e5c2854ccd71c1e4cf"} +{"episode": 32169, "episode_seed": 88727531, "split": "train", "timestamp": "2025-09-15T23:17:45.919526", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 88727531, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "action": "('move', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "action": "('move', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKg0lEQVR4nO3dbcjddR3H8c+5ubbhynRtEbq2XMYEn5QsoicrKbDoRryBEhONkQ7CR0r2OISIeuQTUaOkCEpnC2EFkiEkghhhSESaqTNvxsa4tpy6a+ecfw/+59rOZUl3rsvz/75eD8/1P/B7sPd+v//vf3N6TdMEqKG/2gMA/n8ED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQ+Q6+aTKZrPYgYH70mqZZ7TH8r0aj9HoZDFZ7HPC2N98z/PHjeeqpDIcZDHLihNke/oV5Db5dl+zbl899LrfemieeyMJC+v2MRpn/JQucLnO8pG+afPSjeeyxJNm2LZdckq9+NR/+8Km/Jun1Vm148DY0l8E3TXq9/OIX+exnk2QwyHicJO95Tz7+8Xz969mxY3pku8jvz+s6Bt5icxl86+jR3HVX7rgjTz+dySS93nRWX7MmF1+cb3wjH/lI1q9PktEo/b7sYZ6Dby0t5Xvfy49/nN/+NktL6fXS600n9k99Krt3Z+fObNo0PXI4lD2lzXfwJ0/Ux+P85Ce5997s25fRKINB+v2cOJEkO3fmS1/K5z+fzZuTTP/q3J6a5jv41nicfn+a/QMP5L77cvfdGY8zGGQwyNJSklx0Ub7whXzlK9myJVneBYBquhB8kqbJeJzhMEnG4zz+eH74w9xxR44fT2Z29bZty2c+k5tuynnnTb/YnvyLnyI6EnxrNvumyf79ue22/OhHOXgwSfr96bn9u96Vyy7LzTdn+/bpwXb1KKJTwbeaJk1zqt5Dh3LbbdmzJ3/8YzKTfZKrr87112fHjpxxRpKcOJHh0GxPl3Uw+JNm771ZXMwPfpC9e/Ob3yTJwkKaJqNRklxxRb74xVxySc48M7GrR6d1OfiT2g28JEeO5P77s2dP7r8/yan1fJJPfjKXX54vf3mavV09OqlE8Ml0Pl9YSJJXXskjj+T7389Pf5pkxaX7D30ol1+eG2/MWWdNv2hXjy6pEnxrMslkMp3Yl5byhz/ku9/N3r157bVk5vT+3HNzzTW58cacc870iyev/MFcqxV86w27ek89le98J7/8Zf7612TmGt769dm9O9demwsvnB5sV495VzH41hsep3vmmdx5Z/btyxNPJMnCQsbjTCZZWMiuXbnyylx8cfr9FVf+YO7UDf6k9j1Z7a7e/v25777s2ZNHHkmSNWsyHmc8zsJCLrssV16ZK644tfJ33Z65I/ipySSjUdasSZKXX86vf5277spDDyXJYJDJJE2TtWvzsY/lqquya5c3ajGXBL/C7K7ekSN59NF8+9t56KHplN4+gTscZvv2XH99du3KGWc4pWeeCP6fmF2xN00efTTf+lYefjiHD08/bw/YujV3351PfOLUdX54mxP8m3rDrt5jj+X22/Pgg9m/P0kWFnLWWXn44XzwgysOg7czwf9rs7t6jz+ee+7Jz36WP/0pu3fn9tszmdi9Y24I/t81mUy365M8+WT27cull+a888ztzBPB/2fG4+m+Hcwjwf83Tm7am96ZL4KHQmw3QSGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPArtU+6P/dcrrsuN9ww/YlpTxDTFYJfqW372Wdz7725884cOHDqQ5h/gl+pneFfeilLS3nnO3P++YlX0tIdgv9nXngho1HWrs1735sInu4Q/Ert6v3555Pk3HMzHFrP0yWCX6mdzI8eTb+fbdtWezTwFvO+5ZXaF1B/7WvZsSPvf39iPU+neGstFGJJ/yZGo+mOPXSI4Ge0i51jx3L4cIZDPxlH9/g3PWM8TpIHHsgHPpAtW7K4mLjrhk4R/Iy27RdfzOJixmPbdXSP4Ge0a/iDB9PrZfv26S/Fyp4OEfyypslgkMkkBw6kabJ5c9asWe0xwVtM8CsdO5aXXkqS973Pj0LTPYJf1p7AHz2al19Oki1bVnc4cDoIfqVXXsmhQxkOp8G7FE+3WLUua2f4gwfz9NNJ8u53r+5w4HQQ/LJ2i37r1txySxYXc845qz0geOu5l/5NNI0LcnSPc/h/0P4PqHa6yJJ+RtPk9deTZN06wdNJZvgZr7+eb34z112XX/0qcRc9HST4JMttv/Zafv7z3HNPfv/7ZPlZGugQwc8YjfLCC+n3s3Xrag8FTgvBz1hczN/+lrVrc/bZqz0UOC0EP2P//iTZtGl61419OzpH8EmW237mmSTZuDEbNpz6EDpE8DOefz69XjZtysaNqz0UOC0EP+PJJ9M02bAh69dnMjHD0z2Cn7FlSzZunG7Re8UVXeRe+hlLS3n11axbl3XrVnsocFoIftlkksnEW27oNsFDISa05Sdhf/e77N2bCy7IpZfmHe/weCydJPjl4B98MLfemgsuyKc/LXi6yi798pMzBw5kOMzZZ2fDBlv0dJXgl4P/y18yGmXDhvR6gqerBL+svZG+fVmt2ukowSeDQY4fz5EjieDpuPLBt7fQvvhiXn01STZvTgRPZ5UPvj2Bf/bZHD6cwcAMT7eVvyx38hemzjwzCwvTG+kFT0eVv9Ouvd5+7Fj+/OccOpSdO6e/Eg1dVD54qKT8OXyraTKZeE0tnWeGh0LM8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgr5O2EFrJMb73sKAAAAAElFTkSuQmCC", "image_next": "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", "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', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "action": "('move', [1.1608280495748646, -8.442556936652714, -36.030316004530015])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHdklEQVR4nO3d0W4U5x3G4Xd2baIATqusoQGKIaoSVeol5BJya7meHCRXEiltMSaBgk0oaSAk3p0e7JAVVc8a4mre5zla++gT8k//b74ZZodxHAN0WFz0AoDfjuChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChiOChyN5FL+D/0XqdzSbDkGHIcnnRq4FfzzCO40WvAfiNmPBvWK+zXObLL/PFFzk6ykcf5ZNPcnCQccwwXPTi4H8m+Df8Evxnn2WxyMcf5/PPBc98OLT7L548GYchm02SXL+eRO3MhOB3xjF7e9lscnY2bEf67383XrmS83PBMxOCf8NikWfP8vRpkozj+MG18ySONZkNwe9s9/Cnp1PwyXDnw0Xs55kRwe9sJ/npac7OkmSxyNHdZQTPjAj+Pz35x+bp6SbJ3l7u3EkEz4y4LbeznfBPzobzTYYh+/tT8DAbgt/ZTvLHj6eBvreXu3eTZGEbxFz4W56M4/TY/KNH04+XL2e1ckTPrAh+Zxjy8mW+/Xb68fZtV+/MjeAn20n+/HkePpx+8+GHhjtzI/g3fP88D19P+Lt3zXfmRvBveP7PzcOH59ud/PbEDuZE8JNpS/+v4cdXi739RPDMkdtyk+1Uf/Ro+OVBG8EzPyb8ZHuz/f79JNls8s5yfe2aQzvmRvA7m02Oj5PkfJ3bt8dLly56QfBrE3zy+gL+1atpwmfMnT/t7e8P8SA98yL4nZ9+ysnJ9PnOnezvX+hq4C0Q/M6rVzk+ni7mj468oJoZEvzODz/k2bPs7SXJ0VHiXTfMjuB3HjxIXl+0C55ZEvzOvXtJsl5nMWxW72udGRJ88nqqb4M/P8/harxy5UIXBG+HJ+127h1PH24dLa8eJO7JMTsm/M69v663H27dzNWrF7sWeCsEv/P3v222H27ezOXLF7sWeCsEP3nxIo/P9hZDkty6leVy+sZomBPBT/fe7t/Pej0MiyTjjQ/GJOv1xa4Lfn2Cn4I/Ps56vf3ymc3h+5sLXhO8HU7pJ/fuZb3OOOa9g8XqMPF2auZI8LsJv/1uuWvXh/cPL3ZF8LaYYpPj1zfhDw+zWiVuwjNHgp8m/PYxuyTXrk3Bw/wIPstl1uucnU0Pz69WuXQp5+eu4Zmh9j/q7c32x4/z44/bHfzm+mqT198VDzPTHvx2P39ykhcvpt/c+GATF/DMlFP6JPnmm7x8mSTvvLO48cchid6ZJRM+SR6cbLbBv/debtwcEsUzT+3Bb6/VHxyv1+tNkoOD3LiReOqGmbKlT5JvHk3/DgcHuXkzcQ3PTFUPsnGcXk379Lthu4k/OMjVq1mvBc88CT7Pn+f777NcZrkc/3B4Hv9Pjvmypc/JSb7+eor8j7cXsZ9nvgSfd9/Np5/mq69yejr8+S9DnNgxX8Po3evJzz/nu+/y7FlWq6xWGUdDnnkSPBSxpU+ScZyewBkGs505M+GhiOMpKCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KCJ4KPJvoOs3XG0TgBEAAAAASUVORK5CYII=", "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": "cd35b207914c1f4774560441471704b5222836c532fcc9524890f1944f209d9f"} +{"episode": 32170, "episode_seed": 3004058921, "split": "train", "timestamp": "2025-09-15T23:17:46.531286", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3004058921, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "action": "('move', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "action": "('move', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKyklEQVR4nO3dzY9Vdx3H8c+9M+NQBpNWHgQWpWjbgJ1AwcaHKml8XLQYq0bjxq1/gO6MSzcmxoWJC6M7daHpRhsaaxe2aiuktAltGBC1NS21U4IxYKuEmXuPi3PaETIUZkRm7nxfr7CAw8zkZO6853fu75zfOb2maQLU0F/pHQBuHMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyHjK70DlNQ03Z8kY2MrvTeF9Jr2mw4UYITnentr6G6a9Pvp9Rb5gD/+Mc8+m9/9LjffnG98I+98Z5pmkY/kejPCc500TQaDNE0mJi7ZPhym18twmLGx/Pa3+fa3c+xYzpzJ3FySTE3l+PHs2CH4G8MIz3INh0nSf3Pet9fL+Js/TmfO5MyZzM5mZiZ/+Uu+9a1s2JAkr72WRx5JknXrsn17tm7Njh1Zty6J4G8MIzxLMRwuHLGPXzpanD6dI0dy+nROncqJE5mZyWuvdf/1zDPZvz9JXnwx3/9+pqayd2927cr73ndj9x4jPNeoHYH7/3Ue98UXc/58du/OO96RJI8/nq985ZJPWbcue/Zk9+6sX99t2bkz3/nOwgcMhxkMMj5ubL9hBM+b3pppSy4Ju9XrZW4ux47l2Wdz9GhmZnL6dLZvz09/mp07k2Tr1iR5z3uyb1/uvjv79uXWW7NxYzZt6n4jtObnMxx2k3n9/uVv+Pk/E3x5w2E3r9aeD39rsB0Muux7vfzkJ/nRjzIzk3PncvHiwueeO5fZ2ezcmabJhz+cU6eyZUtuuumSwi8z7kduJfnul9fvd2HPzeXvf8/Zs/nb33L4cPr9fPObmZ/P+Hj+/Oc88USSrF+fbduyeXOmp3PPPd1g3pqayh13LHzZdkqv/fXhiH3VMGlXWPu2/OTJPP98Xn45x4/nxIk891zeeCNJbr45p05l06YkOXo03/te7ror09OZns5tt13xC0beq5rgC5uby8REvvrV/PCHl2zftCm7duUDH8jXv57t2xc5Ydaeb+/1Lp/GY9VzSF9Y+7v+Xe9Kkunp7NuXvXtz113Zti3vfne2bFl4D980mZ/v/t7vu/p9dBnhC2tH6dnZvPFGbrklGza83WQba4LgudRgsDDT5t34miN43jy2j/m2tc97eHReiClWKETwUIjg+V+1S2DMBY0Ek3ZcH23zrpRf5YzwLF87WPz1rzl2LGNjah8Bgmf5BoMk+e5387nP5eDB/OAHef31JA7vVy+H9CxT+4MzN5e7786JE0nyiU/k0KFMTrpd1eplhGeZ2vWvv/lNXnkl/X7Gx/PRj2ZyMhcvqn31EjzL1N4145FHcv58hsPccks+9alksZvlsHp4cViO4TDj4zl/Pk8/3W1573tzzz3d3ahZtQTPcrRLbA4fzvPPd1sOHMjk5MLSG1YnJ1JYjrbqJ5/M66+n18vUVD7/+cRz4lY9IzxL1h7Pnz3b3eeuaXLrrfngB7tHS7GaeX1YsvaE3MmTOXKkWzX/2c86kh8NgmfJ+v00TZ56KhcuZGwsTZMvfnGl94lrI3iWpr2o5p//zMMPJ8lgkN27Mz2dWFY/CgTPcrz0Uo4cycREN7y7in5UCJ6laYfxX/2qe9xzkvvv754HzeoneJasafLzn3cPm3v/+3P77Ynj+REheJbs1KkcPdqdgXvggWzcaHncyBA8S9A+Hv6hh7qHxE9O5t57u+1G+JEgeJam18svf5kkw2H27MmePd1GRoLguVbtMP7cc/nTn7otH/lItm3L/LwL7EaGF4pr1S6M+cUv8o9/JMn69TlwYKX3iSUSPNeqnZZ//PHun3femQMH0jQWzIwSwXNNBoOMj+fYsZw82W3Zvz+bN2d+3hv4USJ4rkl7Xc0TT+TVV5Pkppty//3uXTd6BM/VtTecv3AhTz3VnXLfvDkPPJBYAD9qBM/VtfPzJ07kD3/o1sPed1/WrTPCjx7Bc62eeSavvtqth/3SlxKn30eQ4LmKdh7+woU89liSDAbZsiUf+1gi+BEkeK6ifdP+yit59NHu1hcHD2ZqaqV3i2URPFfRDuOHD+fcuW7d+xe+kHie1GgSPFfRrnV/6KHuwpvt27N//0rvE8sleK7u7Nn8+tfdUH/wYDZuXOkdYrkEz9tpl8E++mj+9a/0emmafPrTmZjwwIlRJXjeTnum/Wc/S5LBILfd1q2HZUQJnitqa5+dXXiA3Mc/np07PXBihHnduKL2ArtDh7r1sL1e7r034+MWzIwwwXNF7Ym3Q4e6G9Tefnu3AN7wPrq8dCyufYDcyy8vPB92797ceWcGAwtmRpjgWdz8fJomjz2Wl15KkomJ3Hdfmsb950eb4FlEe/18r5ff/z4XLybJ5s35zGfS63nIzGgTPIsYDjM2lhdeyJEj3Zbp6ezY4fT7yBM8i2in655+OjMz3RTdgw8mlseNPsGziLGxzM/nySeTpGmyYYPg1wjBc7n29PvsbA4dSpKmyYc+lG3bEsGPPsFzubbq48fzwguZmEiSL3+5u6ieUSd4Lteuh3344SSZm0u/n09+0ti+RjjHwiL6/Xzta9mxIz/+cXbtytatK71DXCe9xoEab+vf/87kpMtp1wjBc0Xtj4aD+bXE722uqL0FvRFhLRE8V2GEX0sED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkP8AnxNgCSbX3Z8AAAAASUVORK5CYII=", "image_prev": "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", "image_next": "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", "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', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "action": "('move', [0.5449441466474524, 4.392018412037075, -30.123130022879565])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "fb756b06b7060050c6f3b6918d66b76b8b4706cd9b538fac79d43a122d6561ea"} +{"episode": 32171, "episode_seed": 3632501776, "split": "train", "timestamp": "2025-09-15T23:17:47.142248", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3632501776, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "action": "('move', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "action": "('move', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "action": "('move', [-5.561890102496794, -8.88007393731404, -17.875868359858487])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHU0lEQVR4nO3dzXITVx7G4VeSgeIrQ7CBGAfINlnngnKbM/eR7QDme1wQCAu7QFZn0T3kCtRdlfd5VrJWp1z1q3/3OWppNQxDgA7rpRcAzEfwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwUETwLG8Yll5BDcGzvNUqkf0sBM/Cttt8+JD8P3v2SvAsZhzpT5/ml19ycpKff86//5Mk2+2y6/onO1h6AbR79izv3iXJ69fDp4+m/H6Z8CxmnPAvTrPZZLXKzRvDvSP38ftlwrOYKfiXubxMksOj9d3DxM38PpnwLOz06eX44vAwd+4kgt8nwbOYccKfPt8lQ5Kjo9y9mwh+nwTPYtbrJHlzdiVZJTk8zO3b2e0WXtU/m+BZxjBkvc7nz7m4mN45OkqS7daE3yPBs4zxev7ly5yfT2/cv2eLfu/s0rOMMfg3b6bg1+vVgx8SN/B7ZsKzjDH4V6+m4G/dyvFxIvg9EzzLGIN//XJ3cTEkuXUrDx4kgt8zwbOMacKfTmdyt27lB5f0++cenmWMYb97vxnP5G7fzoMHnpDdOxOeBQxDDg4yDPn4aRroN28O167l8nI6nGdP/HdZwDBktcqHD/n4cXrj+N42vgNj/wTPAsawz86+BZ8fH68zXtyzT4JnMd+C32xWj55sEsXvneBZwG6c8O92H/8Ykly5kh9/TOIGfu/8g1nCLknOzoYvX3dJrl7NycnCKyrhWI4lrJLk7P1m/Ovq1Tx+nDiE3z8TnrkNQzabJDk7m965ejXHx9PWPXsleBawXufr17x9O/15/35WK2dycxA8y/j06e8J/+TJoktpInjmNk7yP/+cvp06yaNHiRv4WQieuU3Bfxr+9266iDfhZyN4lvHnx+H9h8v1Jsm0Rc8MBM/cxgn/x6fVMGw260TwM3IOz9ymL6t9+/ctu+BnY8IztzH4V6+S5PIy393c3vnXEJt2sxA8sxqv57fbKfjdLj89yWaj9ZkIngWcn+fly+n1o58ODq4supomgmcBFxfThE/y6Mn0SVtmIHgWcHGRFy+mm/nHj5ZeTRPBs4Dz83z+nIODxBb9vATPAt68yWo1bcuPwfsNyXkInlmNkZ+eZhhyuUtyeXjXU3LzETwLeP48SbbbHN0Zrl8X/Hx80o4FnJ4mSYacPN7cuLmKT93MxYRnbsOQ0+fTVH94srp+fdnldBE8c9vtcvrf7fj6+Dg3biy7nC6CZ26Xl3nxej0+GHtyMv3mlEv6eQie+YwfpH/7NudfNutVkjx8mDiTm5HgmdvpaYZdhiTZ3T/axU/KzcguPXN79SoHBxmSg2v5/s7SqyljwjOfcZL//nu+fMnXL7lyZf3d9+s4k5uRCc98xqdlfvstv/6aZ8+y2/m+2rmtBvdPUMOEZ27jnvy3h2eYkwkPRWzaQRHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQxHBQ5G/AL7oKskaZBDvAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "8e2bc2093eb556e1efb2355f471f5609280883f3d8ecd38556dec86715d572b3"} +{"episode": 32172, "episode_seed": 2445393955, "split": "train", "timestamp": "2025-09-15T23:17:47.754514", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2445393955, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "action": "('move', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "action": "('move', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "action": "('move', [-46.552624564855684, -28.117974628999608, -58.58675576818689])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "8ffdaf216505a5d3e28d108120d24a5600f554324dd507859d004af392a1fc7d"} +{"episode": 32173, "episode_seed": 3486983956, "split": "train", "timestamp": "2025-09-15T23:17:48.708466", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3486983956, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "action": "('move', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "action": "('move', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "action": "('move', [0.19254063498216034, -0.38026077152295024, -11.896712754089])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "2861fee901f0b004189446fad4fb5ab4aee58d7381af09156065a09f3ff71c30"} +{"episode": 32174, "episode_seed": 4130210088, "split": "train", "timestamp": "2025-09-15T23:17:49.325970", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 4130210088, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "action": "('move', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "action": "('move', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "action": "('move', [7.033523595754844, -10.284774174866874, -53.77044210130939])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "62fb564093b7f349e1e8e238c0f62bd686f78689b5bd348ca8122fb12e4e5643"} +{"episode": 32175, "episode_seed": 4178282455, "split": "train", "timestamp": "2025-09-15T23:17:49.936009", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 4178282455, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "action": "('move', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "action": "('move', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALj0lEQVR4nO3dX4gVdR/H8c+cc9ytRcO0tFQoC5YgNLBWy1WztHSjpLDoQrzIgv6oF0Yk5AapKUFZEpGwJREkBtk/iqVWzbAtdQU3N6RYyzCxjBJJ2yj3zMxzMYP1PDwX/jnnzGyf9+tK15vBnff5/ubvCeI4FgAPhaw3AEDtEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARgq+CMFQYZr0RwP9RynoD/nWiSMWiJMWxgiDrrQH+SxDHcdbb8K+zY4fiWJMnZ70dwP9iwldOFKlQ0Pvv64EHVF+vPXt08cWSmPPID47hKydZKxUKKpd1+LCWLiV15A3BV06xqHJZd9yhxYsVBNqwQZs2KQgURVlvGZDiGL6ikhN1f/yhGTO0c6caG7V9u0aOTFf7QNbYCysqmecNDXruOTU0qLdXy5apXFYUiQ9W5ADBV1qhoDhWc7OWLJGkt97Su++qVGJhjzwg+CoIAoWhli7VpEk6flwbN+rPP1UsMuSROY7hqyM5mP/0U735plpbNWpU+nOO5JEpgq+af95pF4bp7XdAphg4VXOq9jhWsaiff9axY5y9Q7YIvsqiSEGgDz/U3XertTU9pQdkhOCrLDk539Ghzk6tX6/29vRWPCALHMNXXxyrr0/Nzerp0bXX6oMPdMklimNO4KH22OdqYvBgrVmjQYPU3a01ayRxMI9MEHz1BYHiWDNnauFCRZHWrdOWLSqVCB61x5K+JpJLdEeP6qab9NVXamrS1q0aMoSXZKDGmPA1kdxjP3y4Vq/W4MHavVurV6c/B2qIF2DUShCov1+zZunee7V3r+bOlXgNFmqNJX0NJXn39SkMdcEFPDOL2iP4jJya7WGoQoE5j9pgwmQkCLR3rx59VFu3pk/XAdXHhM9OS4s++khTp+qddzRsmMSzdKg69rAsJB+y992nYlGdnWprS1PnwxdVxoTPwqkD+AcfVFubGhq0bZsmTuSkPaqN4DOSPEX3/fdqaVFvr6ZMUUeH6up4bB5VxZI+I4WCokhXXKGnnlJDgzo79cILvAYL1caEz04cKwwVRVqwQBs2qKFB772nW27h+jyqhx0rO0GgIFBdnZ55RiNGqK6ON9ui2pjwWUvm+bZtGj1ajY1p80x4VAfB58CpNfyps/Scrkd1MEly4J+1HzumN97Qb78pjjmBh4oj+HxIaj9yRPPmaf58vf46Ex7VQPC5Eceqq1OppEJBy5dr3770VTlA5XAMnxvJkXxvr1padOCAZs7U5s1ZbxP+bZjwuVEoqL9fjY167DEVCtqyRStXKo65VocKIvg8Sb5k9uGHdfvtktTVpXKZ765ABbGkz5nk1/HNN9q0SYsXa+hQLtGhgggeMMKSPpeiSOUyK3lUHBMeMMKEB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBD/wxLEkhWHW24EBKIiT3QcDUBiqUFAQZL0dGDiY8ANJHCuKdOiQWlu1c6eKRWrHmSH4gSSKVCho7VqtWqU5c9TaqsOH058Dp4Ml/YARhioW1dOj2bP1yy8ql3XZZeru1tChimMV+OjGaWA3GRjiOF29v/SSfvpJcaxSSU88oQsvTI/kgdPBhB8YkvH+2We67Tb19UnShAnavTv9IOBIHqeJ0TAARJGKRfX3a+1a/f67ikXFsVasSFOndpw+JvwAkIzxjg7NmqViUWGolha1t2e9WRiACH5gCEM1N6urK73w/vnnamqSxHjHmWFJn3fJB/KGDdq1Kx3vCxaoqYnFPM4GEz7vokh//aVx43TggCQNH66tWzV+fHoaDzgjTPhcSy65rVmj775ToaA41v33a/z49A4c4Ewx4fMrDBUEOnxYU6fq4EFJuvJKbd6syy9Pz9sDZ4oxkWvJjbQHDyoIVChowQKNHctiHmePCZ9T5bJKJXV369ZbdfSo4lhXXaWuLjU08IQczh4TPo/iOL27Zt06/fpreri+dKmGDOHkPM4JEz6PknNyO3Zo2jRFkeJYTU3atevvO+qBs8OEz6NCQVGkp59WuZyO91WrJG6zwTkj+NxJllwff6z2dpVKKpd1112aPv3vfwLOGkv63Elea3Pdddq7V0GghgZt3qzrr+faOyqAPShfkmvv69fryy9VLCqKNH++Jk5UFLGeRwUw4XMkeVPV8eOaNEn79yuONWqU2tt1zTXpVTrgHDHhcyR5U9WLL6q3N73TZt48akclMeHzIrl/7ttvNWOGDh1SHGvsWG3frksvTeMHzh37US6cusD+yiv64Yf07pqHHtKYMZKoHRXDhM+F5Ax8T4+mTFFfn+JYjY3q6VGpRO2oJPamXEgefX3+eZ04kf55+XLV1XFmHhXGhM9e8hvYtUs33JC+02b6dHV0aNAg7qVFhXHyN3tJ0suWpX+tq9OTT1I7qoIlfcaSa+/vvqtPPlGppDDU3Llqbubbo1AVBJ+lZDF/8qRWrlQQKAw1fLgeeUT19Yx3VAXBZyl5ZV1bm7q703N199yjKVP+fkgOqCx2q8wkd9ocOaKXX07H++jRWrQovd+O8Y5qIPgsBYFefVVff53eaTNvnq6+mi+HRBVxWS4byXjfv1/Tp+vIEcWxxozRnj0aNoyXWKGKGCUZSBbtUaS2Nv34Y3r0/vjjuugiakd1MeEzkJyB37dPEyYoilQua9w4dXWpvp7aUV1M+AwkVa9YoZMn0yfhli/XeedRO6qOCV9ryf93Z6emTUtvpJ09W2+/rfPPl3hNJaqMCZ+BIFBra/rnwYO1ZIkaGniJFWqB4GsqeWXdxo364ov0Rto5c3TjjVyKQ42wl9VO8tD7iRN69lmVy4pjjRihhQtVXy+xmEdNEHxNBYGiSDffrJEjFYa6805Nnqz+fr4cEjXCSbtsdHfrtde0aJEaG3nhPGqH4DPA9z0jK0yWDCTfMNHfz1dHodaY8IARJjxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxg5D8FDDGabir42gAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "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", "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', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "action": "('move', [-0.35553657651905063, 3.550703339537213, -59.105674426441986])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAI00lEQVR4nO3dz6tU9R/H8feZO13zqhFG2Y+F0MJ/ICrQWkRGCLUqaBEtiiAiXBSBi1oUgbRIWgZCCyFJUPpBPwhTjBCMgsIiCBe1CmoRUuSv7p0538UM96t2i7zNj5uvx4NhOI5X7kfuec7nfM7MnNu0bVtAhs60BwBMjuAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiOAhiODHoNerXm/ag4AldKc9gMtOv18zM1VVbVtNM+3RwAWatm2nPYbLzrFj1ba1efO0xwEXM8OPTr9fnU69+249/nitWlVfflnXXltV5nlWDmv40RkcK3U6tbBQP/5YO3ZInZVG8KMzM1MLC3X//bV9ezVN7d1bBw5U01S/P+2RwZA1/EgNTtSdPl13312ffVabNtWnn9aGDcOjfZg2e+FIDebzubl65ZWam6sTJ+q552phofr98sTKCiD4Uet0qm1ry5Z6+umqqv376+23q9t1YM9KIPgxaJrq9WrHjrr99vrtt3rzzTp7tmZmTPJMnTX8eAwW8598Uvv21fPP1403Dh+3kmeqBD8257/Trtcbvv0OpsqEMzaLtbdtzczUzz/XyZPO3jFdgh+zfr+apt5/vx58sJ5/fnhKD6ZE8GM2ODl/8GAdPVqvv14ffjh8Kx5MgzX8+LVtnTpVW7bU11/XLbfUe+/V9ddX2zqBx+TZ5yZi7dratauuuKK++qp27aoqi3mmQvDj1zTVtrV1az31VPX79dprdehQdbuCZ/Ic0k/E4CW6X36pu+6qb76pW2+tw4dr3ToXyWDCzPATMXiP/TXX1M6dtXZtffFF7dw5fBwmyAUwJqVpan6+7r23Hnqojh+vBx6ochksJs0h/QQN8j51qnq9uuoqn5ll8gQ/JYtze69XnY55nskww0xJ09Tx4/XMM3X48PDTdTB+Zvjp2batPvqo7ryz3nqr1q+v8lk6xs4eNg2DJ9lHH62ZmTp6tHbvHqbuyZcxM8NPw+IC/oknavfumpurI0fqttuctGfcBD8lg0/R/fBDbdtWJ07UHXfUwYM1O+tj84yVQ/op6XSq36+bb64XXqi5uTp6tF591WWwGDcz/PS0bfV61e/XY4/V3r01N1fvvFP33OP1ecbHjjU9TVNNU7Oz9fLLdd11NTvryraMmxl+2gbz+ZEjddNNtWnTsHkzPOMh+BVg8Rh+8Sy90/WMh5lkBTi/9pMn64036tdfq22dwGPkBL8yDGr/6ad6+OF65JHas8cMzzgIfsVo25qdrW63Op168cX69tvhpXJgdKzhV4zBSv7Eidq2rb7/vrZurY8/nvaYuNyY4VeMTqfm52vTpnr22ep06tCheumlaluv1TFCgl9JBr9k9skn6777qqo+/7wWFvzuCkbIIf0KM/hxfPddHThQ27fX1Vd7iY4REjwEcUi/IvX7tbDgSJ6RM8NDEDM8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BOlOewAsYXm/0bdpRj0OLjuCH5mLKv1ztEt+QdMMQ13cKOkyNoL/t3q9atthrqOKttcb3vr9izfO3/7jjzp9enj7/fean6/Nm2vjxuF44M8E/2/NzFzwx36/5ucv4Xb2bJ0+XWfO1Jkzw42/uV/cOHt26cHs21cbN1avV10/WJZiv1i+wUT6wQd17FjNzw87HNzOnfu77XPnlv9Nm6Y6nep2q9O54Gii36+ZmVpYGMn/jMuW4JepbYeN7d9fe/Zc2r8dRDu4X1zYt+0Ft7/5vr3eX/7t4Klkeef8SCD4ZWqaYVcbNlRVdbuXMLsuGW2nU3NztWbN8H716v9vz80Nb4vbFz24enV1u9Xt1g03DAcDS7JrLN8g+PXra8OGuvLK6vVq1apas+aCUJe8X/LB2dnhtL84/1+0/c85Y8dfaVrHf8s1WMOfOVPz87Vu3aQzO38tsOhSnxpII/iR6feXePAf5qdSJkPwI+B1b/4rvJd+BNTOf4XgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIYjgIcj/AGKuVXH6eqalAAAAAElFTkSuQmCC", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "2eea472dd692d96cfce423d475f3547669939eb300c43bd9195b9fd7d61d6833"} +{"episode": 32176, "episode_seed": 617350111, "split": "train", "timestamp": "2025-09-15T23:17:50.909022", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 617350111, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "action": "('move', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "action": "('move', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "action": "('move', [4.638438399896406, 14.438303487879871, 4.630194354041028])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "4f2c1f325d5cc3ce188c813cf6991d6962786d641ce8135589786e4d1a282ca0"} +{"episode": 32177, "episode_seed": 3022097867, "split": "train", "timestamp": "2025-09-15T23:17:51.521873", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3022097867, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "action": "('move', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "action": "('move', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK+0lEQVR4nO3dXWhWdQDH8d95XhTcdpEXkZEtiBQDSSFEIakLQWgiehFNaqxmIQnRmzVyNRIrN8ulaGat7NVYmkjlhaGURFmY7KJiXsRqFyqC+YambnteujjHZ/P9penzPOf3/eDdnosjPN/nf87/f87/BPl8XgA8JIp9AACuH4IHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwRdVLlfsI4AXgi+efF6JhLLZYh8HjBB8MeTzkhQEOnBAySTjPK4bgi+GIJCkjg7V1Gj7dsZ5XDdBPhxtcJ0dPaoJE9TTo5Ej9cknqqlRLqcEv7+4tviGFUM+r6oqtbfrppt06JBqa7VxoxIJ8eOLa4zgiyEIFASaNk2bNqm6WseP66GH9PHHCgKaxzVF8EUSBMpmNXmyNm3SmDHq7dXevdGfaB7XDNfwRZXNKpnUb7/p5581b16xjwbxR/DFFjYvDUzadXWpuloVFUzjYcjxfSq2cB0+m1U+r1xOHR2aPFlNTcpmlUiwRI+hRfAlIJGI/p06pa1bdeyYVqzQE0/o+HGW6DG0CL40hPPzI0Zo2TLV10tSe7sef1wHDyqZpHkMFa7hS0l40X7ihF54QW+/LUkzZkTL9VzPYyjwHSol4UX7iBFqa1NjoyRt3qw5c9TToyDgeh7/H8GXmPB+u2HDtGSJXn1ViYS2b9fSpcpkuC0H/x+n9CWpcALf2qr169XRoTvuGBjhObfH1SL4UpXPKwjU3y9J6fQZfyos3QNXiLGiVIWP0KbTSqejM/l//tHcudq2LVq655caV47gS1s+Hw31mYyeeUZr16q+Xlu3claPq8P3prSFz9Xl80omVVurUaO0b58eeEBffRWdAjDO40oQfDkI266p0Rdf6NZbdfSo5szR558X+7BQfgi+TISP006dqg0bNHasTp5UQ4Peey8a/xnncXkIvnyE99hOmqQNGzRhgnp79eSTamujeVw+gi8rYfPjx2vjRk2erL6+6Gw/RPO4FNbhy1C4Dv/XX9q5U7W1yuWiuT2dXr0HLoDgy9O5z9L89JMmTtSIETxmg4vgm1GeClvchvfbfvih7r1Xjz6qI0d4hB4XQfBla/Cp+6+/KpvV+vWqq+NtNrgIgi9z4VC/cqWefVaSNm9Wba3272eXe5wXwZe/IFAyqTfeUHOzJH33nWbP1t69PE6LcxF8LIST84sWqaVFyaR++UUzZ6qri+ZxFoKPhcK9N42NWr5cw4ers1OLF0u8gh5nYFkuRsLmEwm1t6ujQ2vXqrqalXkMRvCxE96Wc+yYqqqKfSgoOQQfR2Hz3IGDcxB8TFE7zofgASMMAoARggeMEDxghOABIwQPGIlh8Cw7ABcSw+DD96ySPXCu+AQfFt7XpwMHlEiwlStwHnELvrtbkyaprk579kQ7OzLaAwXxCT6RUG+v3nxTPT367DONH6/WVh0+HI32mQzZA3G5tTZ8BrS7W+PGqb9f6XT0nuU771Rzs2bMUEWFslkFATeYw1pMvv7hE98336xPP9V990W1Dxumri7V1qquTlu3KplkQ1e4i8kIP9jhw1q3Tm1t+vtvBYFSKfX3q7JSDz6o557TuHES72uAq7gFH57PS+rp0Zo1WrZMmczAzm6jR+uRR9TYqIoKSWe8sgVwELfgpWhaPpmUpD/+0MKF+vZb9fUplVImI0ljx2rRIs2apeHDpdO7RQAOYhh8aPAGEF9/rdde086dkgaynz5dL72ke+6RpP7+6AofiLfYBh8K/3NBoP5+rVql9nbt3i1pYBp//nw99pgmTpSkTEapVPGOFbj2Yh58qDDa//mnPvhAq1bp33+VTiuXUzar0aPV0KCnntINNwz8QACxZBG8pHxemUw0n7drl5Yv17p10qChfvx4Pf20GhoGPk/2iB+X4EOFe2/6+vT991q4UJ2d0ukL+1RKU6aopUVTpgzcis+FPeLEK3jpjIyzWa1cqRUr1NMjnc4+CDR3rp5/XmPGSFJ/v1IpRnvEhF3wBYXL9f371dqqjg7t369kUvm8cjmNHKkFC1RXp1tuOWOdDyhrvsGHCovwO3Zo9eqzL+zvvlvz5qmhQYmEMhklkwz1KG/uwUvRXH06rWxWW7aopUU//ihJw4apr0+Spk3TggWaPj36PPN5KF8EHykswh85oo0b1dysffskKZlUNqvKSs2apcWLddttEvfkomwR/IDw6j08wz94UK+/ro8+0qFDUdj5vKqqtHChGhp0442SOMlH+SH4sw0+Y+/s1JIl2rxZp04pnY520Rg7Vi+/rJkzVVXFM/YoMwR/QYX5vC+/1Lvvats2adB8Xk2N5s/X/fef8UmgxBH8xeRyyuWUSunIEa1fr6VL1d2tRCKatK+s1OzZevHF6Bl7oPQR/KUV5vP27NGaNXrrLZ04oURCuZwkjRql+no1Namykgl8lDqCvyxh2+G1+u7damrSli06eTKaw5d0++165RU9/DDNo6QR/BUYHPM336ilRTt2SKdX7KdO1Q8/EDxKGsFfjfB520xGq1fr/ff1++9KpbRrl+66i+BR0gj+KmWz0Y733d165x1VVGjRomIfE3ApBH/1Bj9jz004KAsE/38N3jwPKHEEPwTYGAvlgk0bhwCpo1xwMgoYIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgJH/AHfqKQ6qYCd0AAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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", "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', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "action": "('move', [14.8102664401938, 11.46726698957491, -6.749064713348275])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "c0fbadc2a4c384df3a57708d9e55bbf9c0a2ff694a86e484cdfb8e5b2973c93a"} +{"episode": 32178, "episode_seed": 3977453647, "split": "train", "timestamp": "2025-09-15T23:17:52.134149", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3977453647, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "action": "('move', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "action": "('move', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "action": "('move', [6.69801288942666, -3.367530746936603, -21.685735073641734])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHh0lEQVR4nO3cX+jddR3H8ff3e85vS0n5gXi5WkKJiBEoeFsjKnexC1GE2OyiP5awTbwpV022AkEmUzPUmyS8KGjQLgahrGiXeqPWAtF2I65BSYmoa55zvp8uzm9jkLVN9zu/jdfjcfn7HX7fc/Pk/fl8vh9+XWutgAz9Wn8BYHEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED2tvGKq1RTxI8LDGptPq++q6RTxL8LBmWqvJpMbjevvt+sffV36yqgQPa2MYqutqaamO/LHdeefw3PNVVbPZ6j5U8LBQra2M8b6vN96o7357dtdd3eHD3alTK79dVePV/fPAaa3VMNRoVFV18t/188eHRx/rjv+tX1qqrutWe7bPCR4WYTarrqvRqE6erN8fbg880I7+pavqxks1mdT6dW15uata9aM7wcPqmp/MrVtXVfXCC/XIvvabA62qH49rOq3pZLjllm7n9nbHHV1VjVe5yK4t5vUfRJqfzHVdvf56Pf1UPfV0vfdejcc1DDUM7TMb657vtHu+1y8v1zBUv/pHaoKHVdHayvp8Mqn9j7RnflmvvtpV1dJSTSY16tuOHe2b3+puvLGrqul01Wf7nODhIjt7Vh/8be3dM7z0ysp2fTqpqrrttnrwwbr11qqqyaRGo0XM9jnBw0UzDDUMK7P6T3+u3btmh37Xz2bdfLteVddfX3v31u23r3xmNls5tF8YwcPFcWZZfuxYe+YXtW9fO/VBPx7XdFbVauPG4Rt31/d/0F9xRdXp9+2LuU57NsHDx9VazWY1Htc779Szz9aj+9tfj1Xfd/2oppO68hPD1ru7++6rG27oqhZ0OPe/CB4+ljOHcwcO1BNP1JEjVadP5qqGLVu6ndvbpi/3VTWZ1NLSWn7VEjx8NGevyY8ebbt/XM89373/fp3errfPfbb99Cfd1zZ3V121ckN+wdv1DyV4uDBnFvBV9dZb7eGH68kn27vv9vP4W6trrqn77697763l5aqq6bRGozXYrn8owcMFmN+Q7fv61z/bwYO1+0fDmydGVfPB3q6+utuypfbsqeuuq1q7k7n/Q/Bwvs5s1w8dao/tr8N/qKpu/fo6daqq2le/0nbs7DZv7s7+5KVG8HBe5g2/+GL97PH2q1/XbNYtravJB1XVvvD5tn1nt21rt7Tu0lrA/zfBw7nN36UdP16bNtVrr7W+X3nB9skrZw/8cLRtW9uwYaE3ZD8y/wADzq3vaxjq2mvn92G7YajRaNj69eGlV/pdu2rDhm46rdYu9drLhIfzNF/SnzhRN99cn/5Ue+ih+uKXVhbua3uX5oIIHi7Myy/XTTfVaHQpHsKfk+Dhgl2Oqc9dJgsRuGQMQ9XlWXuZ8BDFhIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wGaoICaz+57AgAAAABJRU5ErkJggg==", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHh0lEQVR4nO3cX+jddR3H8ff3e85vS0n5gXi5WkKJiBEoeFsjKnexC1GE2OyiP5awTbwpV022AkEmUzPUmyS8KGjQLgahrGiXeqPWAtF2I65BSYmoa55zvp8uzm9jkLVN9zu/jdfjcfn7HX7fc/Pk/fl8vh9+XWutgAz9Wn8BYHEED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED0EED2tvGKq1RTxI8LDGptPq++q6RTxL8LBmWqvJpMbjevvt+sffV36yqgQPa2MYqutqaamO/LHdeefw3PNVVbPZ6j5U8LBQra2M8b6vN96o7357dtdd3eHD3alTK79dVePV/fPAaa3VMNRoVFV18t/188eHRx/rjv+tX1qqrutWe7bPCR4WYTarrqvRqE6erN8fbg880I7+pavqxks1mdT6dW15uata9aM7wcPqmp/MrVtXVfXCC/XIvvabA62qH49rOq3pZLjllm7n9nbHHV1VjVe5yK4t5vUfRJqfzHVdvf56Pf1UPfV0vfdejcc1DDUM7TMb657vtHu+1y8v1zBUv/pHaoKHVdHayvp8Mqn9j7RnflmvvtpV1dJSTSY16tuOHe2b3+puvLGrqul01Wf7nODhIjt7Vh/8be3dM7z0ysp2fTqpqrrttnrwwbr11qqqyaRGo0XM9jnBw0UzDDUMK7P6T3+u3btmh37Xz2bdfLteVddfX3v31u23r3xmNls5tF8YwcPFcWZZfuxYe+YXtW9fO/VBPx7XdFbVauPG4Rt31/d/0F9xRdXp9+2LuU57NsHDx9VazWY1Htc779Szz9aj+9tfj1Xfd/2oppO68hPD1ru7++6rG27oqhZ0OPe/CB4+ljOHcwcO1BNP1JEjVadP5qqGLVu6ndvbpi/3VTWZ1NLSWn7VEjx8NGevyY8ebbt/XM89373/fp3errfPfbb99Cfd1zZ3V121ckN+wdv1DyV4uDBnFvBV9dZb7eGH68kn27vv9vP4W6trrqn77697763l5aqq6bRGozXYrn8owcMFmN+Q7fv61z/bwYO1+0fDmydGVfPB3q6+utuypfbsqeuuq1q7k7n/Q/Bwvs5s1w8dao/tr8N/qKpu/fo6daqq2le/0nbs7DZv7s7+5KVG8HBe5g2/+GL97PH2q1/XbNYtravJB1XVvvD5tn1nt21rt7Tu0lrA/zfBw7nN36UdP16bNtVrr7W+X3nB9skrZw/8cLRtW9uwYaE3ZD8y/wADzq3vaxjq2mvn92G7YajRaNj69eGlV/pdu2rDhm46rdYu9drLhIfzNF/SnzhRN99cn/5Ue+ih+uKXVhbua3uX5oIIHi7Myy/XTTfVaHQpHsKfk+Dhgl2Oqc9dJgsRuGQMQ9XlWXuZ8BDFhIcggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocg/wGaoICaz+57AgAAAABJRU5ErkJggg==", "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": "92f2ae1a9bd96286fa113ff4b3568a4733e12b7e823d596d74209f0d88b7116a"} +{"episode": 32179, "episode_seed": 1036604499, "split": "train", "timestamp": "2025-09-15T23:17:52.747311", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1036604499, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "action": "('move', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "action": "('move', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "action": "('move', [5.707359879395173, 0.006841667780859116, -57.051481952528974])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKyElEQVR4nO3dbWhVdQDH8d+5927DaqbO5paWTVQKo+hNRRESUaQG5Yu9qYaxwIREkR7eWNHDi0qkskUvXKPITQgE7QEq3YuCQChfRIU9CNZqW+HKqSPc7r3nnF6c4+4006lbd9vv+2HIGNd7j+x+7/+c//mfYxDHsQB4yJR7AwD8fwgeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRgge4y6OVSyWeyMgieDxPwgC5XI0PyEQPMZRHCuOdeyYPv9cuZyiqNwbZI/gMV7iWEGgINDatWps1LvvKpNRFCmOy71lxgge4yUMJenpp7Vtm/r69PDD2rxZmUw67KMsCB7jolBQLqfWVr34ojIZZbMKAs2fL50Y+VEWBI+xF4aqqFBnpzZuVByrokJRpC1b1NioMFQ2W+7tMxbE7F1hTCUD+IEDWrFCBw6ookKFgp54Qps2KYqUYYgpK4LHWEpq7+/XXXdp3770bFxjo9rblctRe/nxG8BYCgLFsZqbtW+fKitVLOqWW/Tmm6qs5Lh9QiB4jI04VhgqirRhg3btUkWF8nldeaW2btXs2QpDgp8QCB5jIFk8m83qjTfU0qJsVmGo6mq9/baWLGGibgLhGB5jIJmN++gjNTVpYEDZrOJYbW1qaqL2iYURHhcqqf3bb7VmjY4eVRAon9dTT6mpScUiE3UTCyM8LkgyLf/HH7rjDu3fn07Lr1qlt95SECiT4dB9YiF4nL+k9nxe99yjPXvSU+63367331d19YgVdWFYWlif/IiPgTLJlXsDMFkl0/JxrLVrtWePcjkVClq0SG1tqq4+eY3NKQfxxaKCoPTD5Bq64c8CjCeCx/lIas/l9NJLam1NL32trdX27Wpo+NeKus8+UxCotlazZmnWLFVUnPRcyUPDMD13d8oXxhS79DgfSdI7dmjVKhUKiiJVVam9XStXnjwtn7y7Ghp05Ijq6lRTo9mzVVOjVau0dGm6n9/VpUsuUU3NmV5v5LuUT4ELwAiPc5YkvXevHnlEx48rk1EY6tlntXJlepFcKum5r09HjujoUR09WnqKW2/V0qWSdPy4HnpIfX2aOVM1NbriivRr7lwtWqT6+tLB/1kll90OP5LPhdMheJybKFI2q4MH9eCDOnw4nahbs0aPP64oUi43IrTku5kztX+/envV1aVff1VXl377TTfdlD7g99+1f78OHTrpNbJZ5XJqalJra/rp8sEH+v57LV6sefM0f76qq9PHjJwdOOVzIYpKswOcLTiBXXqcg2QEHRjQ8uX64ou09mXLtGuXKivP67mOHVNnpw4cUHe3urrU3a2BAQ0Oqr9fq1frlVfSGb6771ZnZ+nvXnaZFizQ3Lm6/nqtX69LL1Uc6++/1den6mpddJGmTaPw0yJ4jFYcK4oUhmpuVkdHesr9uuv06aeqqzvjbS2G32OjifD4cfX06JdfNG+err5aksJQGzZo714dOaL+fvX3l26O19CgvXs1Z44kdXToySe1eLHmzFF9vS6/XPX1mjFDNTVaskTTp1/gP39qYJceoxXHymb1/PPq6FBlpQoFXXWVtm8/W+06W+fDt7lL/pw2TQsXauHC0gOyWb32mv76S3196uvToUM6dEiHD6unRwsWlM4B/vCDenvV23vq89fW6sMPdeON3GpHjPAYjWQ6LJPRO+9o9WoFgYpFTZ+ujg4tX65iccRE3Vi9WBLnWdflJpfsSAoC/fSTvv5avb3q7lZPj3p61N2tn3+WpIMH1dBA8CJ4jEaS9O7duvdeDQ2lF723tOjRR9Np+XHvaPhTYOS+wH+9cBxrcLD0deyYrr2WK3gSBI+zSPaXv/tOy5apu1uVlcrn9dhj2ry53LesSt66w80nhwZMyJ8RweNMkr3gP//UihX68st0Wr6xUe+9N4Gz+vdbeuJu6/+N4PGfkj3ofF7336+dO9Np+Ztv1scfa8YMjognJS5WxuklA0Emo40btXOnqqpULOqaa7RtG7VPYgSP04siBYG2bNGrr6bH7bNnq6VFCxema2EwGbFLj9NIpuV37NADDyifTyfCtm5Vc7MKhVOvdsMkwgiPUyVL4r/6SuvWKZ9XZaWiSM88o+ZmRRG1T26M8DhJcnDe26tly/TNN+lEXXOz2trKfRIOY4HgUZK8FwYHdd992r07PQl3553auVPTplH7VMDvEKnhZSzr12v3blVVqVDQDTeotVUXX8ws3RRB8JBOXAkXBHrhBbW2qqJCQ0Oqq9Prr2v+fKblpw526SFJYShJbW1at06FQnqPyfZ2NTaO9bUxKCtGeKQr0ItF/fijhoaUyykMtWmTGhvTGXtMGYzwkE4ssxkc1Msv67nntHatWlr4X6KmIIJHani17Cef6LbbmJafmggeJSNXyLNafkri+AwlyZ0tRn9jaEw6jPCAEY7SACMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxj5B7QG3Znhs+J2AAAAAElFTkSuQmCC", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "60c6b1c4032247b32c987ca3c185d5c91d478b05d396be03fd9d0ea2e4e628da"} +{"episode": 32180, "episode_seed": 3413549474, "split": "train", "timestamp": "2025-09-15T23:17:53.697420", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3413549474, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "action": "('move', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "action": "('move', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "action": "('move', [2.292433761731107, 0.7984276621709024, 45.96197259068769])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "9e012e2ddcaac87c87f9051b1a84daec1fe7ddc5d6bc8fdb6883f309439038d3"} +{"episode": 32181, "episode_seed": 184879704, "split": "train", "timestamp": "2025-09-15T23:17:54.306250", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 184879704, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "action": "('move', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "action": "('move', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "action": "('move', [1.9804053295328925, -1.6597232038457175, -52.79749005375688])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "c40b9325df0601c7e3cc4f9dc97b8e1b101124cf791c43d224a961547e90cd41"} +{"episode": 32182, "episode_seed": 1034621128, "split": "train", "timestamp": "2025-09-15T23:17:54.913423", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1034621128, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "action": "('move', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "action": "('move', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "action": "('move', [-1.0831566666611974, 6.771477103460907, 35.772524646783985])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAHOElEQVR4nO3dz04k1xnG4a8K1MbuAQYIzJ9YWfgqvLTkne/FN+mb8MrJWHKmh1EPJIBjQ6AriyogshSanpHSKt7nEYvuWp3Nr79z6FZV03VdARnadS8A+P8RPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPAQRPATZXPcCYGS6rhaLaprhb1yaruvWvQYYpcWi2rFtkce2Xli38/P68cc6PR1f7SV4eLx+N/zDD/Xdd/Xtt/X11/XXv91fHwVneHis/sT+00/15k29eVNV3dVlU1VdN5rDvOBhNcfHw2b+L18uptO2RhN7leBhVe/e1WJRVXVw2H621VRVjad4Z3hYzeztcGQ/PGy2PlvvWlYmeFjBYlGzX27610dHtbW13uWsTPCwgsWiZm+raauqjo5qMln3glYkeFjBb7/Vyflm21RVHR1V1fCru7EQPDxK/2V7/x+7vvCjw/vrYyF4WMFsVotFH/nN7s6iBA9P2GxWXVc3N7W52WzvVI3rW3jBwyP1k3w2G97u7rbbO+PLZ3wrhjV69254sb9fOztrXcpHETys4O3fhyP7XfC29PAEDVv6X677t3t7tb29zvV8HMHDCmbvh2T29mo6rTLh4enpumrburmpi39t9Ff29oYrgocnqGlqPq9/X/Xvur3nXVXd3Kx1TasTPCzXH+CPj+vqNviD52NrvaoED4/xh+Dbttn/U1s1vtvauQEGLPeH4KfT5uBwVGf3W2P7gIL1eX/cXV1WVU2f1f5+1dj+RV+Ch8e4nfDdouuqavtZHRyseUkfx5YelhuCv/0Sfjodgjfh4cmaz4cXz57V3t6Y7k59R/CwRNfV5mZ1XV1cDFe+mNbGRl1fCx6enP5ndmdn9euvw4WD5+O79UVP8PAoHz7cT/ijw5sa4QG+BA9L9ZP85OQu+ObFq411LugTCB6W6IO/m/CTSb142ZYJD0/YyXxxcdFV1WQy3KBa8PAE9U+SO5kvrq8FDxnmJ23/1MjJpF68qBpn8H5pB0v0YZ/+c5iOd8GPkQkPD7n71c3p6XDl861ua2tkT5i6I3hYomnq99/vgx/jE6buCB4e0od9dnYf/Ks/NzXOA3wJHh7j/Py/gn+11qV8GsHDQ/oJf35eJyfDJv7ly3Wu5xMJHpY7+8fi5MMQvAkPT9bthO8ur7p2o5qmXr+uGu0Z3vfwsNzZeVtVbVNdO+4tveDhIf0kn39oqoZb3PRb+pFOeFt6eMjGRlXV+/dVVV1X089vdnfXu6JPYsLD/9SP9Ovrms9rMqmq+vJ1145ztvcED0tcXtbPPw+PoPhiZ7Md680vqgQPD+gP6pNJff99ffNNnZ3VV1+N9fTea7qR/iYYWJ0JD8tdX9diUW07/I2XCQ9BxvxhBaxI8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BBE8BDkP5iNKshLOTEhAAAAAElFTkSuQmCC", "image_prev": "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", "image_next": "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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": "31b22f48d69531fa44e7b79a0e5988df356488c2d7151bd1e6f44ba30dfc511c"} +{"episode": 32183, "episode_seed": 3649619694, "split": "train", "timestamp": "2025-09-15T23:17:55.867703", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3649619694, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "action": "('move', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "action": "('move', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "action": "('move', [21.756820885814346, 16.674949752866294, -34.61908693637918])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "3d1acf1e8a096fe416bb65d387e624fcde28a742fcfebfed67ecbb83bd4c9474"} +{"episode": 32184, "episode_seed": 759584311, "split": "train", "timestamp": "2025-09-15T23:17:56.480887", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 759584311, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "action": "('move', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "action": "('move', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "action": "('move', [16.298934612326054, 21.04244882029186, -49.394525772026874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIJUlEQVR4nO3cz6tc9RnH8eecO1fFWhduNEZdKBhbQRQsDWTRbkzrBTcuaqkUjMYftdVqFGo1BWnrJqRGSbDUxFJr0xb/gSylUVBaI4I/KkQU3LpRN0nunTnfLu7kel20ttbcSfJ5vdZncWB4833OM2ema60VkKGf9Q0Aa0fwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwEETwKYZh1nfASUDwp7/Wajyuvq/WZn0rzJrgT3PDUF1Xo1F9+GF1nebTCf701Nq07b6vjz6qbdvqxhvr/fer68z20QR/ummtJpPquuq6Wlqqvb8bvnFt27WrXnqpdu6sYRB8tK4Z8k4jy6n3fR09Wgf/1h55pL16qKvqzjijFhfrggvqwIG6+uqaTGpubtb3yiyMZn0DfDmWN3Pz81VVL79cTzzRnn++VfWjUY3HtbjYrryy27KlLr20qqo32KVywp8OVk7sN96offvq6afb0aPdaL7aUJNJW7eubr2l3XV3f9FFs75RZk3wp7Dlj67rqqo++bjt3Fn7/9y99950Lb+0VFXtnp+0Lbf211xTVTUe18hIl03wp6TlJfx0Mm+1b1/bsaMdfrer6pZn+KpaWGjbt3cbN1bXTb+HN8kj+FPPZFJ9X11Xi8fq4Evt4Z8Nr77Wt/Zp6lddVY8+WjfcMD3PrehYIfhTyerN3Kv/aL/Z2f76fFX18/PTAf6KK9qtW7r7t3XLqa+e+aEEfwpZOajffrue2Ve/fWo4cqwfjaZfrV94Yfvhze2en/br1+ucf0vwp4CVgD/5pHbtqv376/Dhqq7m52ppXFXDnXd0W2+va6/tymaO/0jwJ6/PbOaq9u6tJ5+st96qqjo+ww/fva4e/kW3aVPX9zZzfD7Bn6RWNnPjcR08WI88NPn7oblhqJXN3Ne/Nvz6sX5hoc48c3q9zRyfS/AnndWbuddeq8d3Dvv/0lV1x0/1uuyyuvPOuu++6TXLv4fzxM5/Q/Anl5WD+p9v1x+eHXbv7o4c6UajGloNk1p3QfvBzd3999f69VVVremc/43gTxYrT+wff1x7dg/P/rE7fLhWvUgzue22/vat7Zsb+7KZ44sS/OytPqifeab27KnXX2+rZvhh8+bu5w/Vt77dLf/idW7OZo4vSPCztDLAD0O9+GJt316vvDI9vcfjqmobNrTHHuuuv747++zPXA9fjOBnYxhqMplu3d58o+3Y0Z77U19Vc3M1mVRVXXJJ/fhHw7339WedNb3eZo7/n+BnYOUJ/J132nPP1a7H25Gj3WjULf9Zzfnn10031YMP1sUXV3k9li+V4NfaMEz/Z27v08Pevd3hd1vX9/NztbjUqtott/Rbt9amTVUGeE4Awa+dleXcs78fdj/VHTrUVv/u5Tub64EH6rrNXZXNHCeK4NfI8sH+wQd1xx31wgu1uPjpO3OXXz786pfdwkJ3zlerHOycSL7MXTut1bnn1rFjtbhYfV/jcVt/Ybv7rrp3W3/OV6qOv06rdk4cJ/zaWVqq+fk6cKAWFuq88+r735s89PCczRxrSfBrZ/kZvrXas6c2bKjNm6uOj/qwNgS/1lZWd0tLNRo51VlTgp+B8bi6zrM6MyB4COLxEYIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoIIHoL8C27EAeWmCaIMAAAAAElFTkSuQmCC", "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": "9a3e832a91b47e44a678dcc94c8fe3d7b1e4706f28bd002919fb8d79f407532e"} +{"episode": 32185, "episode_seed": 1951464030, "split": "train", "timestamp": "2025-09-15T23:17:57.093326", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1951464030, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "action": "('move', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "action": "('move', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALCUlEQVR4nO3dX4hUZQPH8d+ZndnVZYMubME/UEoZ2b8bNcoUdI0IikjXMjCICC3RsAgi+qOiJF0U/XHrxkrTCjGhUFQKRCs1qaQoBNc0MzSCWllJcmbOmfNenLOr+Vq9vu3OzJnf93OpA/OM8p3nnOc8Z04Qx7EAeMjVegAAqofgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgkVVxrDiu9SCyJl/rAQAXLOk8CGo9jgxihkeWxLHCUEGgINDx41q/Xr29TPUXgOCRGVEkSfm8enq0erUmTdLs2dq5k6n+AgQx342oe8nEXihI0qZNeuklbd8uSYWCRo3Sp59q5MjaDjAzOIdHvatUlMupUNDevXrlFb33nuJYhYLKZZXLam7W6dOSFMdM9f+MGR516uyVuV9/1bJl2rBBP/+sXE5BoCjSRRfpySd1330aNaq2I80Sgkc9iiI1NUlSsahVq7RihY4dk6SmJkWRCgXde6+eflpXXFGV0VQqCkM1N1flzQYXi3aoL1GU1l4sautW3XSTFizQsWPpCbykKVP00UdasyatvVIZ5AHFsdas0ZQp+vBDhWHWrwcww6NexLGiSPm8JO3erdde0zvvSFJzs0olSRo/Xg8+qHnz0herOpfio0jTpumTT3TXXVq3TkOHVuuNBwWLdqgLScD5vA4d0sqVeust9fYqn1elolJJI0fqoYc0d67a21WppNfhqzGmIFB3t3bvVqGgO+9Ua6vK5TMHGxlE8KixJKsgUKmkF17Q6tXq7pakfF5hKEkLFmjePF1zjaRa5LZhg6JIV16pKVMkKZfts2CCR80k5+pBoDjWBx9o6VJ9843Ul3oYavp0LV+uCROUyymKFARVrz2K9PbbimNNnKjRoxWG6SlHZmV79MioSkWVStrOvn1avFibN0tnpT5unBYv1qxZ6aF7/6J9VYeYy6m7W7mc2tp0xx3VffvBwqIdqq1/mty/X2++qRdfVByfOYAfM0b336/HH09Xx2p/n0xPj3bt0uTJuvji2g1iwBA8qie5yyWX02+/6Y031NWlo0eVy6mpSeWyWlv1wAN6+GGNG5e+uMZr4ZWK4rjqhxaDi+BRDWdP1GvWqKtLX3whKd0hK2nWLC1cqMmTJalUUqFQ69rPFkXp/r7sI3gMruRcOPH553rqKX32mUqlM8fw112nZct0yy0aOjS9H67Gc2r/l9OKFert1cKFjXRrDot2GCxnb6Q5ckTLl2vtWpVKac9hqBEj9Oijmj9fra1S/cyj/ZffV63S4cNqb9djj9V6TAOG4DEokpW5fF7Hj+vdd/XcczpxQkGQXmBrb9fMmXrmGQ0fLvXNqfVyspwsM+zZo8OH1dKi225L/7D2X0UDgOAxwPon9jDUunXq6tKXX0p9O2TjWDNnatEi3Xxz+uIqbZv7HyWrdKdPa/t2BYE6OjR6dK3HNJAIHgMpCTif15YtevVVbdsmSS0tKhZVKmnyZC1apBkzJCkM01039SX5AEeOaPNmxbE6OzVkSMNM7yJ4DIj+da4g0Pffa8kSbdqkkyfTeb5Y1PDhWrJEM2Zo2LA/ndvXnSTsXbvU06MRIzRxotQ4x/MieAyIJIeeHq1cqZdfVk9PGn8Yqq1Nc+fqiSfU3i71Tex1WruU7unfuFFNTZo+Pb0Ft1FqF8Hj34tjnTihrVu1eLEOHZL6dsi2turWW7V0qa69Nn1Z8lf1K5nJDx7U1q2SNHWqmpuzfnvcOer5nx/ZEASaP1/r10t9G2nCUFOnav58dXZKdbgy949mztQff2jSJKl+Lh4MDILHv5LEPHasJOXzKpd11VV65BHNmaO2tnpdmfsryY17V1+t99/XL79o2DAp8/fDnoOddvhXkuB//13jx+vwYT37rObM0WWXScryvaQ1uDuvSggeA2PfPpXLuuEGSQpD5XLZnBpPntTQoSoU/rQluIEQPAZYJktJKjh1SjfeqEsu0fPPa8KERroa1y+jh1yoR0kg2atdfacfmzfr4EF99516e6WGuvzeL4v/OahTGa4juYrw8ccqFnX99Zo+Pd1R33Aa8CMBFyb5ta0fftCePZLSa4kNiuBhL7kLf8cOHTigXE53313rAQ0igoe35MGUYagdOxTH6ujQpZdKmT4/+TsED2/Jo6oOHNDOnYpj3XOPWlqy/jypv0Hw8JbM5N9+qx9/1JAhZ27Tb1BcloO3XE5xrEmT9PrriuP00dMNejwvNt4A2dwq9H9y+ZzAX0pq95j5CB7ewlAbN2r/fhWLtR5KNRA8XCVT+ldfqbNTt9+ur7+W+q7JNy6Ch6uk7bVrlc+rUNCYMQ25ef4cBA9Lyc9Rnzql7dsVhuroUHt7+iiMhtbgHw84v+Rx89u2pU+b6Oxs1LtlztH4nxA4j+QEftMmFYu6/HJNmyY12q9ZnVfjf0LgXFGkQkFHj2rvXklnfmrTAMHDT7J/fssWHTqkfF6zZ0sW07sIHo76n19bLmv8+PRpEx7YWgtLcaxiUT/9pCjS2LEm07sIHrDi8sUGnIffbEfwMNbo++r+G8EDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRv4DpJis9/Jku/YAAAAASUVORK5CYII=", "image_next": "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", "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', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "action": "('move', [1.2258732533316674, -0.3442150653679137, 20.364224202733453])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "f31ab7b9af205aa0f8e1ca95b229d920983e4534d06eed1675aefd5a3779c3d1"} +{"episode": 32186, "episode_seed": 3417878321, "split": "train", "timestamp": "2025-09-15T23:17:57.711674", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3417878321, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "action": "('move', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "action": "('move', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "action": "('move', [-6.012558599556417, 6.901135249869685, -46.96233022321845])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "4814a212426efe4de2ac41255321ab04ca0358c31c35c8ff5891c2f7546f4a43"} +{"episode": 32187, "episode_seed": 1145681356, "split": "train", "timestamp": "2025-09-15T23:17:58.689138", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1145681356, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "action": "('move', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "action": "('move', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALFElEQVR4nO3dW2wU5R+H8e/sbqFAQDxgBU8XHjAeUgWrFxiUpISEIMaQaKOCeAAUEaJooqREhUTRqqChmEABJZp4SAAlnr0QFAkaEw1qqAc0akKU1tBwSMt2dv4XM5S1gT8H2+52v8/nqqFLsjdPfzPvzLwTRFEkAB5Shf4CAHoOwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgh+COKIkVRob8E0KUI/v/J5ZTLFfpLAF2H4A8vihQESqeVSimbZdSjRBD8YcS119drzhzt2KGyMgUBox6lIIgYXv8W175zpyortWuXhg/XzTdr7lwNGpT8VlIQFPY7AieICd9ZGErSU09p1y6VlamxUQsW6IorVF+vbFZBoCBQGHKQj16J4DtLpSRp5EgNH65sVpIyGe3YoVmzNGKE1q7Vnj1KpxUEam8v7DcFjhuH9EfU2qrFi/Xaa/r+e0nq00cHDkhSdbUefFDV1SorU3u7UqnkbwRQ/Aj+8OIzeUl//KHly7VmjX7/XUGgTCYZ+zU1uusuVVdLUnu7MplCflvgGBH8EUWR2ttVViZJ27ZpzRotXarWVqXTkhSGGjxYEyZo7lxdfnnyebGeh+JG8EcR33sTD/Bt21RXp1dfVRQplUou1FVU6MYbNX++hg2TDt6fx0E+ihPBH5MwTAZ7FOmrrzR/vjZtUmvroewHD9YDD+jeezVkiCTO7VGkCP5YdTpif+cdPfusNm9WLqeysuTE/swzVVuriROTac+5PYoNwR+3/IP2Vav0yivatEmS+vZVW5skXXmlZs7UTTdpwACFoYKAUY9iQfAnqKPk5ma9+abq65Ordx3TfswYTZ+umhqJ9TwUDYI/cfnL+H/+qddf19NPq6lJktJphaHKy3XNNaqt1bXXJv8ll2Pao5AI/r/K5RRFyZLezp2qq9OqVWppkaQgUBSpXz+NH68nntAll3T+PNDDCL5r5I/un37SwoV67z01NyeH8fE5//336557dNFFkpTNJs/eAj2J4LtYxy16Gzdq2TKtX68DB1RWpjBULqfBgzVnjmpqkuxZxkcPI/iul39uv2GDVq/WunVS3t34F16oKVM0Y4ZOO431PPQogu8u7e3Jnjn79unjj/XMM9qyRcpbxr/0Uk2frpkzD93SI8pHNyP4bhRFCsPkoH3PHq1bp4UL9fPPkpTJJHfjXXaZHntMEyYkRwRhqFSK7NFdCL7b5d+os3+/lixRQ4N+/VU6ePVO0pgxqq3VqFHq25dlfHQjgu8hHYt5knbu1OLFeust/fabdHDaS7rtNk2bptGjO38e6CoE39M6nsP55hu9/LJWrtTevcpkFATKZlVersmTNWWKRo0ieHQ9gi+AXE5hmJy0f/mlGhq0YoUkZTLJ07jjxmnDhuQDQBfizo8CSKUOXZm/6iotW6YtWzR+fPIvkm69VZkM+2Si6zHhCymKlMsduiz30Ud6+GGddZbeeEMDB3Iaj65H8IWXfwV+717t36/TTy/sN0LJIvgiwkhHd+McvojET9fxFxjdh0c3igsTHt3KfsIzUuHEO/j4qjdTFTaMg4+fU0mnk60nmfMwYBl83HY6rb//1p13asGC5BEWmkepM1u0i3eiio/hX3pJL7ygxkZJGj1a48Ydus0dKFFmwcdvitm8WfPm6fPPJWnQIE2erBEjkt8CJc0m+Hg1fvt2vfiiGhqSYT52rBYsUFVV8hlW71DqSv1Ou3gdPp1WEKitTVVV2rZNkqqqNHOmpk6VuMENRkr6IDbeaCZ+1jyK1Levbr9dp5yiJ5/U229r6lQuy8FNKU74/In9xRd6/33NmZNsENvaqh9/VGWlJGWzPHEON6V1Dp//uGlzsxYt0ooVamnRkCGaPVthqH79VFmZvBeO2uGntIKP94VuadH69Xr88WTLuHPO0YAByb6Q8f4SXHuDqxIKPl6H/+QTPf+8PvxQkk49VTU1mjdPw4Ylx/mcrsNb7w++Y/uIINBzz6m2NrlVdtIkzZql666TeGkrkOjNwecP7fjnc89VW5sqK/Xoo7rhBpWXJ297oHZAUm9dpe+Y2LmcNm7U2Wfr/PMlKQz17ru6+mpVVEi8qxHorLeNvvhFjXHt336rmhqNHatFi9TWljz9NnGiKiqSt7dQO/BvvSqJeLBnMvrlF61erSVLtG+fJO3erX/+0RlnHHrcjWN44HB6zyF9fJZ+4IBWrtTSpfrhB0m6+GLNmKG771b//twhCxxV0U/4jr9HQaCvv9ZDD+nTTyWpf3/dd5+mTdMFFyQfo3bgaIo4+Py3rsbZDxyY1H799Zo/P3nKLZtN7pYHcDTFekjfsRfFX38pl9PQockMb2hQnz665ZZkQY4tK4DjUXzBR5HCUJmM2tqSdy8NHaq1a3XSSVLealz+61oAHJsiW82Ox3gmo88+0x13aOJENTZq61Z9912yWU3HrtLcJwscv2I6h49L3r1bdXVavlxNTZI0dqxmz9bIkcnTL0QO/AfFFHysXz9t366mJp13nh55RJMm6eSTC/2dgBJRZOfw8SLc1q364ANNm6ZhwySpvZ3ZDnSJIgu+E1bmgC5VfIf0MVIHukGxBk/qQDcosstyALoTwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMDI/wCkxQQkd8IZawAAAABJRU5ErkJggg==", "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', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "action": "('move', [-49.38990841903984, -33.46103034150277, 58.76879237427314])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIZUlEQVR4nO3cX8jeZR3H8e/v/rNpoier0Bl6oKAHSWJZYaAYeGAwK3XlUenKP6WGVLScfwY6Nw0E2dJURgQ7KBE1AxOPBvYPYm6h7EhBiBHaGtiJ49l937+rg+fx4REqMZt79nxer8Ob38HFw/O+r991/a7f3bXWCsgwONYDAD48gocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggocggq/Wqu+P9SDgQxEdfGs1nVbX1SD6z0CQ3P/02az6vkajOnSo9u2r6fRYDwiOvtDgp9MaDms4rN8+19avb5ddVq++WlXV2rEeGRxNccHPJz0a1f79de03+quu6nbv7g4dqi1bajarrjvW44OjqWsZk1pr1drCWv3w4bp/6+znvxgcOFBd13Vd9X2dfHK98kqdeWa1JntWrIgZfn4TfjCoI0fqmafbpy9o92wZHDjQjUZdazUe919b3/burdNPVzsr3Aqf4ef34cfjqqqXXqp7723PPtuqBuNxTSZV1T7/ubr77rr8SyonwkoOfjarwaC6rl57rXburIceanNz3XBYfV+ttXPO6a7/1ux7tw3H4+r76jpzOyvfygx+ccXez+qnD7fHH+/276+uq9GoJpO2elzfvbndcGN37rnd0rU9rHgrLfili/Dnn2/3bWl/+OOgqt65h69169qPN9ZFX+iqajKp0cjETpCVE/z8CdnhsKrq9dfrrk2zZ34zePvtGo662bSq6qyzauvWWreuTjzxXRdDjhUS/Gy2UO/f36xdu9qWLfXWP7vBoFpV6+vUU9t119Udd3QnnVRVVuzkOu6DX9yHn0zq10/32+7v9v2luq4bjWtypFaP+yuv7jbdXp88r6t3Tt1InVjHd/B9v7Df9uKLtX17PfVUv+SRW//FS7tbb2lfuXJQVdNpjUbHdrBw7B2XwS+dqA8erHvuqSeeqIMHaziqajWbtbWntbvu7NZ/vVuzZuHArH14qOMx+MXlet/Xo4+2B7a1vx4YVNVoVNNprV7Vbrqp//4PhmecUVU1ndTQPjy843gKvu8XXmidzer3v6vbN87+9OdhVY3GNZ3UeFwXX1zbttWFF1a9+/A8MO+4CX5xEf7yy/WzR/pHH+uqusWn6+efX7feWhs2LFzsSDz8W8dB8IvPzP9xsB5/rN/xcPfGGzUada1qNm2nfrzdeFN3yy310Y91nrfBf7esd64XN+eGw9q1q7Zvrz17qqqbX65X9Rs2DG7+TrvgMwvH5uZfkgH+k2U6wy/dh9+3rzZtqt27a25uYble1T57Ybtva3fJJd14XNNpDQaW6/Dell3wrdVstrBcf/ON9sBP6pFHam6uGwwWXmv/xNp+48b69g2DE06oWrJpD7yn5RX8bFZVNRzWW2/V00/V5rtnB/42nP9kNqs1a+rqq2vz5jrttCrH5uD9W0bBL26tP/dc27GjXnihqrpVq+rIkapqV1zR3XZbXXrpu64E3pdlFHxV7d1b23fUr37Z5ua6VavqyKSqtU+d1374o8E118y/ze6FVvjfLa/gr7++du6swWDh2MxHTuzvuLO79pu19vSunIeHD2y5BD9/l75nT110UU0mtXp1++qX6977urPPrlryY1XAB7Fcgl+0eXM9+WQ9+GBdfvnCJ4uvxAEf0DIKfn6SP3y4JpM65RQ/UwH/f8so+KXM6nA0LLtNsPnvH7XD0bDsgncPD0ePmRSCCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6CCB6C/AsthQClmu1vLQAAAABJRU5ErkJggg==", "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": "02164d9a69322f7b65836fdb820c73a02139d412cb399a3687ac38d65520ad92"} +{"episode": 32188, "episode_seed": 3443122899, "split": "train", "timestamp": "2025-09-15T23:17:59.306541", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3443122899, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "action": "('move', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "action": "('move', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKqUlEQVR4nO3dT4ic9R3H8c/MrmnSkDRmJWJsrNG1KHgWsZVCQ1ErCqbQkxTaQ0spggehFEERSXvwL8VTban0UgpVEVJoKwqiBy9iDz2UuJVN06SaJlRJQrKbmZ0ensdNlGqzs+L8+b5eeNh5vPwg857f8/s9zzPTGQwGAWrojnoAwGdH8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChkCkKfmUlg8GoBwFjbVqCHwzS7abTycrKqIcC42sqgh8M0unk6NEsL6fb1Tx8nKkIPsmZM/n+93PHHVlc1Dx8nMkPvtdLp5Nnn80LL+TPf85tt+WPf0y3m0T28BGTH/zsbFZWsndvnnwyW7fmb3/Lt76Vxx/P2bPpdtPvj3p8MEY6g2na2X755fzwhzlwIEm++93s25fLLhv1mGCMTP4Mv2plJV//ev70p9x5Z5L8+tfZuzevvJLE5TpoTFHw3W56vVx5ZX772zz4YDqdvP563n03SQaD9j+obbpO6ZP0+5mZSZLf/S6Li/nxjz/0f5sLeFDV1AWfZGWl3aU//+Uvf5kbb8z117fzvOwpaYpO6Vd1u+dO4Hu9dLt55pn84Af5xjfyhz+k00mnY/eemqYx+KStOufN5Nu35513sndv9u3LmTOZmUmvN8IBwkhM4yn9RzTr9tdey7335o03kmTv3jzxRK64wpKeaqZ0hj9fp5NeL1/9al54IXffnSTPPZdbb82rr6qdagrM8I1m9355OU8+mQceyNJSNm3Kiy/mK19pF/zdAp99lFcm+Jy3e79/f370o8zPZ//+bNrUnth/ZG8fplGl4BtN2H/9a3bsyI4d7cH33su2ben324fqYUrVm9Oah2evvz47drQX5954I9/+dp5+ur1jp9onIJXMjnoAo7D6wHy3m9On89Of5sUX89preeut/OxnmZmxe8+0qjfDN7rddsW+YUPuvz833ZTTp/PII7nzzhw82C7pTfVMnXpr+P/pxIncc09+85sMBpmfz1NP5ZZbRj0m+PRVneHPNxhky5Y880wefTRzc1lYyF13Zd++nDplkmfKmOE/0Ozev/RS7rsvf/lLdu3Km29mbs7DNkwTwX9gMEi/n9nZLC7moYdy993Zs+dDu3d28ph8gv+wXi+zs1lezoYN7Zx/6FAOHMiePcl5D9vDZLKG/7DmKzE3bGhvtl1ezsMP5/bbc999OXkyMzMjfK62+WQ+cSLf+U7uuCM/+Uleeinx3bysRcnr8J/s/Mfpjx3L3/+epaU89ljefDNPPZXrrhvVuJolxZEjefXVLC5m//6cOJE9e9r7A+FCeKf8L51O29DOnXnuudxzT5K8/HJuuy2//32Wl0cyqOYj6PDhnDyZTiezs7n22nawcIEE//Ga22++8IX8/Of51a8yN5eDB/P448lofriyOXU/ciT/+U8Gg2zcmC99qR0mXCDBf6LmJtzBIN/7Xp5/Pt/8Zh59tF3hf+adrc7wzTbCpk3ZvTsRPGthDf//NEv6lZXcfHNuuCGf+1ySkezVN4uMI0falxs3Cp41M8NfgGZJPxi0tY/CYJDZ2fT754Lfti2bN6ffFzxrIPgLNtKwVi8a/Otf7ZFrrhnhcJhUgp8MTfDHj+edd9ojV1+dOJ9njQQ/SY4fP3dKL3iGYNNuMqye0p8+3X5Dh1N6hiD4ydDM5M303vzKxpe/PNoRMZGc0k+G5irB4mKS9PvZujWXXpo4pWeNBD8Bmtt8zpzJwYPty/l5j+0xDMFPjJMn2xk+yfy8B2YYhnfNBGh27E6dOhe8HTuGI/iJceJE/v3vXHRRkszPj3o0TCbBT4BmZ+7w4eSDO+qb4H1ZEWsl+ImxsJCk/d69Zose1krwE6CZ4Zvge7188YvZtGm0I2JSCX4y9Pt5++3276uuyuc/P9LRMLEEPxnOns2BA+3fu3eb4RmS4CfD0lIWFzM7myS7d7d79W6zY60EP+6arfh//jNLS+0W/ZVXJhnh92UzwQQ/Gd56K/kgclv0DE3wk2E1+G3bsn37qEfDxBL8ZGiuySXZtSsXX5xYwDMUwY+7Zg2/ukV/+eVmeIYn+HHXzOSrj81cfnm2bvVLtgxJ8OOu08mxYzl1qn25c2c6nfR6gmcYgh9rzc9LLSxkaak9ctllicdmGJbgx1oT9ttvt8Fv3JidO5P49guG5I0z1laDb36xdm6uneGdzzMcwY+1JviFhfaPSy5pZ3jBMxzBj6/VrfhDh9oj27fn0kst4Bme4MfazExOn85777Uv5+Zy0UXp9azhGZI3zvhqZvjDh/P+++2RXbva4zAcwY+vJux//KMNvtv1g/Csl+DH1+qDsU3wmze3D8YKnqEJfnw1d90cOpSzZ5Nk8+ZccUUieNZB8OPr/G+nTrJ5c666KnHXDevgvTOmBoPMzmZlJe++2x7ZsiVbtqTfN8MzPMGPqWaL/vjxc8E3C3hb9KyH4MdUE/bRozl6tD3S/J6c6Z31mB31APgkx47l6NHMzKTTydVXJ4JnfQQ/plZWMjOTgwfP3XUjeNZP8GNqZiZJvva1/OIXWVjIoUO57rpE8KxPZ2AXaBKcPdv++ASsh+DHWvOPY1bn0+KUfqxJnU+Xy3JQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KOS/ThJwK8UsDBcAAAAASUVORK5CYII=", "image_next": "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", "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', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "action": "('move', [-2.3262093589000425, 1.2847263635122186, -59.888664857833874])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "ec98bc76149dc95a2477edb745d498bc18e7174d62b5264644988f1b6db9bab2"} +{"episode": 32189, "episode_seed": 3521708439, "split": "train", "timestamp": "2025-09-15T23:17:59.910657", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3521708439, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "action": "('move', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "action": "('move', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "action": "('move', [-42.31483588846129, -66.75994336180551, 8.218452209559851])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "267b2a2c4a1ac9f0ac69bd5718895d3283326f0da384ae1fe750513ef5972385"} +{"episode": 32190, "episode_seed": 692418594, "split": "train", "timestamp": "2025-09-15T23:18:00.868873", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 692418594, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "action": "('move', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "action": "('move', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "action": "('move', [-83.05495666897535, 106.25517340995079, -13.697179669877707])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "1e97abbc3d09d02205496ef74a2d5761c98a7c1c0d991b8d5dfe2e379839517f"} +{"episode": 32191, "episode_seed": 3250528150, "split": "train", "timestamp": "2025-09-15T23:18:01.483214", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3250528150, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "action": "('move', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "action": "('move', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKn0lEQVR4nO3df2hVdQPH8c+55y7HSEyyWUoblaWQkS11UfhjZC0mJUGIRD9M6p/+WQVikAUFUQwq6L8gUIiitB8YjcqrCaumpKZFmgwtMZYrt8gkmdu95zx/nOO9umePj0/5NO/5vF/4h/tuuxz1vu/3nO/53hnEcSwAHnJjfQAA/jkEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMBIfqwPAH/R8LCCQLmccrxo46wFcRyP9THgb6F8nD2eI1VpcFDPPqsPPlBfn2pqlM8rl1MUKYrECzjOgBm+ysSxgkBffKF581RXp2nTNH265s3T7bdr+vSRX5kIgn/+MHGeIvgqE0XK5dTerldfrQyGoS6+WJdfrttuU1ub5sxRbW3ls3GsKFIQpL/gjOCrTKmkMNTSpfrsMw0MjPIFuZzq67Voke68U3PmaNIkjR+ffiqKVCqlV/uU74ngq9XXX2vjRnV3a/9+HTigoaF0PJ9XsZj+vqZGLS269VbNnq1p09TQkI5HkYpFhSHl2yH4qpRcyScOHtTWrdq+Xbt366uv9Oef6fgFF6hUUqmUfnjDDWpuVlOTbrxRTU2VhyoW0+wp3wHBV6tkTV5S/uReiv5+7dunPXv0+efavFl9fel4Pl/5YkmNjbrmGjU1aeFCLVx42tW+Ti71EX9WEXzVS67Mg6BS/okT6utTT48KBXV2au/e0b9xwgTV12vWLLW1qbVVl1028mElZv6sIfjsKN+ED8PK4IkT+vFHffKJOjv17bf64w8NDo78xlxOtbWaNUuLF6u1VVdcoQkTKg+SrAiwsScbCD6D4ji9yB8xOQ8MaNMmFQravVuHDunIkXQ8Kbl8zn/VVbrjDrW0aMYMNTRUFvmHhyWlS32oUgSffcm/cBxXQh0eVne3uru1a5e++UY9Pel4GCoMKwv+kybpllt00026/no1NWny5HS8WExfTSi/6hC8kWQHThQpn69M/nv3au9ebd+uri5t25YO5nIKw3RKl1RXp+uu07XXqrlZ8+drxowxOHicEwTvKCm/VFJNTaX8X3/VTz9p+3Z9/LE2b67c3kt26SfCUFOnqrFRCxaorU1z5yoMT7tHiPMcwVtLyo9jhWEl2qEhHT2qbdvU2alCQb/8Uom/LAhUW6uZM/Xmm7r66nT/H85/BA/plOv8f1/q27lTnZ3askUHD6q3Nz3PT/bqLFigd9/VxInpDn+c/wgeoxj1nXY//KCuLnV3a88e7dun337TypXq6Eh36XJWXxUIHv9F+bS/vLFnYEC7dmnHDrW0qLmZ8/lqQvA4W+UfsFFTM9aHgr+K4PE/K+/M50y+6hA8YISlVcAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEf0ZxPNZHAJxLBP+fDQ8rCLRunZYu1YEDimP6R7XLj/UBnK+KRdXUqFDQY4/p8GGNG6c1a5TnrwvVjRl+NFGkfF5dXXrwQR0+rMZGPfKI8nlmeFS7IOZJPEIUKZfT1q1atkyHDmnqVL31lubPT8eBasYz+HRJ1Tt26IEHdOiQLrlEa9dq/nwViwqCsT444O8i+FOUSsrltHOn7r9f+/froou0Zo0WLVKppHye4JEBBH9S+dLm++/V06O6Oq1dq8WLFccKwzE9MuCcYdlZkhTH6QQex7rvPh0/rvHjtWRJZRzIBBbtTtZ+/Ljq6iRVFudYpUPm2D+ho0hBoL4+3XWXXnpJkoJApVJ6PQ9ki/cMXyopDNXfr3vvVaGgCy/Upk1qbmZuR1YZP62jSGGo33/XQw+pUFA+r9WrNWeO4pjakVWui3ZJ1ceOaflyffSRgkBPP61Vq8b6sID/L8upLFmlGxzUihXasEGSnnxSzzyjYpHNs8g2v2v4pPZjx/Tww1q3TpIef1wdHZIUhtyEQ7aZzfBxrCiSpHHj1NsrSY8+qo4O5XLK5agdmec0w5d30SSL8EeO6I039MQTp30KyDSb4JMfXxFF6u/XpZeeVji1w4bNKX0yq69apXvu0XffpSPJ6T21w4ZN8GGo1av18sv68ku9/baCgPvtMJT1Z3x5le655/T885K0ZIna29lLB0+ZvoZPag9DvfCCnnpKcazWVq1fr/HjuW6Hp+wGn6zS5XJ65RWtXKlSSS0teu89TZzI9A5bmQ5e0muvqb1dQ0O6+Wa9/74mT2Zuh7OMTnTlV7G6Og0Nae5crV+vyZPTN8MCrrI7w+vkDfaNGzVlimbOTN8MCxjLVvDJnyUI1NurKVPSe2+n7q4DvGWogThOf5j0hg1qatKLL2pwUJKiiFvuQCJDM3xyxv7pp1q+XH19uvJK7dihiRNZpQPKMjTvhaG6urRiRVr7O+9QOzBCJoJP9tJt2aJly/Tzz2po0Jo1mj2bNXlghEwEnzh6VIcPq75er7+e/udQXLcDp8vQNbykDz9UqaS77+YOHDCqbAUP4IyyddJbfos7gNEwwwNGsjXDAzgjggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeM/AtusdWNX0ZyVQAAAABJRU5ErkJggg==", "image_next": "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", "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', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "action": "('move', [-6.52169116634634, -7.620028131042993, 31.16947100995308])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "fca6f5908699122494bc4a39194d87b5c13eb140e6f77778673605cbff3c638c"} +{"episode": 32192, "episode_seed": 2415476616, "split": "train", "timestamp": "2025-09-15T23:18:02.094991", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2415476616, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "action": "('move', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "action": "('move', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "action": "('move', [-3.0574577232375204, -3.683115274890057, -40.54064673275599])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "1e88a37a968f763382836f1200a4263ca66e3921c184b493f0c1c6721f092a54"} +{"episode": 32193, "episode_seed": 617616981, "split": "train", "timestamp": "2025-09-15T23:18:02.707761", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 617616981, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "action": "('move', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "action": "('move', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "action": "('move', [18.34819104562717, 9.647507482365539, -21.216548644345277])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "4771050f0fc170ffbfa2fe3b2d02a096451ffa7d7196773b060e7a0118f81bd6"} +{"episode": 32194, "episode_seed": 2980957645, "split": "train", "timestamp": "2025-09-15T23:18:03.664329", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 2980957645, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "action": "('move', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "action": "('move', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "reward": 0.0, "image": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAK4UlEQVR4nO3dX2hW9QPH8c/Zeeb819jSoBURWEM3K2pJrC1RcThTSwilNBEKRhfFrKCLLrrqpugqkogySWO4SEvLC3NOURPNi0hFTGqlNdRGxqLNcHuec34X5+j8A/3c3N/n837d+ezZ9kz2fr7f8z3fcxbEcSwAHgpG+gUAGD4EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YMQ++GxWuZzieKRfBzAcgpjfdcBGZqRfwAiJYwWBLlzQ+vW69VYtWaLi4vRBIH+5jvBJ26dP6777dPGiPv1UTz+tXE5hONKvDBhC3sfwhw+rq0ulpZo2baRfCjAcXINPpu7btikI9OijqqxUHKtgIP8buZx6e1n1w9hgGXxS5z//qKVFcaxZszRpkrLZARzAx7HCUIWFCgIW+zEGuC7aSfr2W3V0qLRUNTWS+lt7sgjQ1aU331QYqrFRZWVXfbT/XxIYcsYj/FdfKQw1Y4ZqatKRuj+iSJKOH9c77+ittzRrllas0P79yuUkKQgY8zEaWQYfBOru1pdfKpdTVZXGjx/AfD4MFUXatEmSiop05oyamzVnjh5+WOvW6fRpRZHCUEGg3t70XQAYcX7BR5GCQGfOaOZM3XmnHn9cUn+X65JxO5vV7bfrwQd18WL6eBjqyBE1NOihh/Tyy2ptVWenCgsVhmSPUcHyPHxy/P3vvzp2TBUVuuWWm/liHR3aulU7d2rHDnV3S9K4cX3r9vX1WrhQ9fWqqJAuHQgM6GwAMAgsg5cGa1NdNqtMRpJ6e/Xdd2pt1caN+uUXSel8PpuVpPJy1dTomWe0cOFVL0Es7GF4uQafyOVUUHCTzUWRcjkVFqb/bG/XwYNat047d6aPFBSkA3txsaZP14oVWr1aU6akH43jAe8AAPrNLPhkRN64Ufv3q6FBjzwyWF84jhVFfe8e2axOntQHH2jrVp09e+3Re0mJli1TQ4MqKzV5siRFUd8iHzB0nIJPftLeXq1cqS1btGiRtm8f9MKumah3dampSZ9/riNH9OefkhSGff3Pnq3nnlNNjaZPTx/p7VUYMuBjqDgFn1wbc/SoFi9We7uamrRy5ZB+wysXCvbs0bZt2r1bx45JUiaTnrGTdNddWr5cdXWaP1/jxklSNquCArLH4PMLvqlJq1apuFjff6977hnqS2KTqb6U7utpa9O+fdq+XV98kT6hsDDNfsIEzZ6tujo9+6zuuCP93ATzfAwWm+CTsHt61NioDz/UokVqbtbkycN2DXwupyhK1/a6u3XihDZv1oYNOndOumJhT9K996q2Vg0Nqq3t+/Rk9wDl4yaZBd/errlz1damd99VY+Pw3/EiWZzLXLqC4fx5ffON1q7VkSO6cEGSgiAd2CdM0MyZevFFLV6s225Ln59sCOSafQyYTfDJGvrevZo3T0VF2rVLtbUjdceL60/FHT6sjz7S3r366af0kctj/tSpWr1ay5erslLFxZLU25tmz4CP/rIJXlIU6fnntWGD5s7V5s2aMiV9Fxg51xyld3SoqUktLdq/X11d0hVH+JKWLNHSpZozR+XlktIrc8ge/WIW/Mcf6/339dRTeuONUXVDqyun+lGkXbvU0qItW/Trr5LSx5NNexUVmj9fTzyhBQvSz+VOfLhxTsFfPoyfOFGlpdKoW/5ONu0lZ+wk/fyzDh7UJ59o9+70CZlMmn1pqR54QMuWadUqlZTQPG6UU/DSiM/hb0Qcp1t+k1fa3a2TJ7V+vTZt0l9/XfXMMNTUqVqzRq+9pkyG7PH/jfbf/kETRersTBsa3e9xQaBMJl20iyJNmqSqKq1dq7Y2vfeeqqtVUpI+M5PRH3+op0eZTHreDvhvBiN8MvAdPapXX9Vjj+mFF1RWNoZGw+svqmttVXOzDhzQiRMqLNShQ6qq6rtuD/gPBsFnswpDvf22Xn9d48fr+HFNmzYm5vbXu/Jy+rY2ffaZior00ksqKhpD72AYSfkefLK1NQxVX6/WVi1erG3bRtX6/ADkcsrl0l33QL/k+ywwqf3HH3XihHI5LViQB0NhGKZ31OOKWvTX2JvW9k8yCd6zR7//rokTtWRJ3mxJLyjgoB39ltfBJ/tXo0iHDklSVZXuvlsadaffb0Ye/SgYDnkdfDLl/e03/fCDgkBLl47yE3LAUMvr4JO8DxzQ0aOKY9XX912MBljK66PA5PxVdbVeeUXt7el8HjCW76flLp9vH4wb1AJjXb4Hnxib22yAQZfXGUSRTp3S339TO5DI0xKSaUtPj9as0ZNPautWSfxtNyBPg0+cOaPt27Vvn86elUb7RXLAMMjf4ONYO3YoijRjhurqJDapAHkcfBDo668VBLr/fpWXs24HKD+DTy6POXVKra2SVF0tXbrDM+AtT4OX1NmpqiqVlWnePElj+npYYLDk73n4ONa5czp/XtOn9/0xZ8Bb/gYP4Dr5OKW/LLlHBIBLGOEBI3k9wgO4GsEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEjBA8YIXjACMEDRggeMELwgBGCB4wQPGCE4AEj/wNMpsv7oHyFvQAAAABJRU5ErkJggg==", "image_prev": "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", "image_next": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALOUlEQVR4nO3dW2wUZQPG8Wd2t1KpEgvBA5JoCNqCh2gtKBAxIqmCxHOsiAlXGhIPUYmHS69MPMSoQY0GAooRbohUEI21kghEJcZgMaFpwkHBAk3EQgVa7M548Y4FgY+PQ0t39/n/7uyuzED6n3dn5p13oyRJBMBDZqB3AMDZQ/CAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgTyRJBnoPgD5F8MeRJGnqUTTQuwL0KYI/jihSFGnfPjU3K44Hem+AvkPw/xHG9j17tGKF7rhDEybom28kqadnoPcM6Au5gd6BgdbToyhSJhM+vsexsllt2qR771U+L0mLFumWW5ThwIiSYP+LnMspm+09Wc9kFMcaP15Tp6bHgS++0Pr1ymYZ5FEKXIMPF+UOHNC8efrkE+3bF34YRUoSlZXp8ceVzUrSnj1askT5vLJZLtqj6EWJ529xkiiK9OuvuvpqdXdr8WLV16dZ/3s0mDRJ332nTEYVFVq7Vtde2/s6UKxcR/hg/Xr99ZcqKzVq1FGvRJFeeEGSMhl1durDD5Uk1I6i5xp8OGlvaFAUacIEjR2rJDnq0tz06Ro3TnGsTEYLFmjr1sP354EiZRl8qLazU42NShLV1qqiIr1cL0nqPZN/7rk0+L179f776f15oHhZBh+sXav2dlVWauJE6ehZdeGYMGWKamvTQ8H8+dq16/BLQDGyDD4k+9lnymZVXa2JE489Qc9klM9r2DDNmSNJ2az27NHbb0ti7h2KmGXwUaT9+/Xpp8rnVVOj8vIjP88f+a4k0bRpGjcufX3xYu3erSiieRQrv+DjWFGktjZddZUuvVTTpkk67ky6TEY9PRoxQg8+qFxOUaQdO/Tuu+nkHKAYWd6HDzfhDx7Uxo0aM0bnn3+CNyaJdu/WlClqaZGkMWPU1KSLL04n4QLFxW+E178f1s89V+PHn6D23jdeconq65XJKJNRa6uWLEl/DhQdyxG+Vz7f+9jM/xL+eTo6NHas2tsVx6qtVUODRoxI79gBRcTsFzY8AfPRR3r00fSZmP93Yz28Xlmpxx5THKusTD/+mN6/B4qO0wgf/qZ//62HH9ayZZo+XStXnsxMmnDK396uqip1dqaX9puadMEF6UtAsXAa4cP1+ZYW/fCDJM2adZKxhnddeKGeekr5vMrK9NNPamzsz10F+odT8MHGjdqxQ0OG6MYbpZOdNxfe9cgjGj5c+byiSC+/nB5AgCJiE3yYS3fokNasURTp5pt10UUn/3+Hy/KjRmn27PSG3IYNWr5cYuIdiopN8EF7u77+Wkmiujqdd94pnYKHzmfOPDzIv/oqz8+hyNgEH7rcvFlbtqi8XDfcIJ3a6Bwm2NXU6L770j+suVnLlrH6FYqJTfCh14ULlSS66SZVV0untu587xT62bM1dGg6VW/BAnV3988OA/3AJvhg0iRdd52mTNGwYemsm1ORyymf14QJqqtLZ92sW6fGRuVyDPIoDmb34cMTMIMHq7JSOp1vlglHiTVrdOed2r9fSaKHHtKiRSorY3kMFAGn4KU+mQ0blrKcMUOff65sVrmcvvpKkyezxCWKgM1H+jhWR0da+5kd48Kf8fzz6Xje3a2FC1nHGsXBIPhQ4S+/6IEH9NJL2rnzDB92C51PnqypU9NPDEuX6uefqR1FwCD4fF5JolWr1NSkV17RwYPSmQ7y4fb7iy+mS912dem99ziHRxEo9eDDhboo0urVymZVV6dRo07j+vyxokgTJ+q229TTo2xWH3+s1tZ0g0DBKvXgw/y4lhZt2qR8XnV1ffKAWxQpn1d5uZ58Mv3Pri698YZE8ChsBsFLWr1a27dr8GDNmNFXn7zDdYBwJh+WuFy6VJs3H94mUIBKOvhwhh3H+v57Saqp0WWXSadz+/1YYR3rykrNmqVBg9Ivq3jzTWUyDPIoXCUdfPg8/9tv2rBBUaS77+7bFrNZxbHuuks1NemXyS9frq1b02MBUIBKOviQ97p1am5Wkuj22/t29ckwu37oUM2cmc60a2vTBx+wxCUKV0nPtAt3yTdv1jvvaMcOzZ+vIUP6dlWqJFEc69AhXX+9WluVJKqq0sqVGj2aiXcoRCUdvI6YS3sSC9SeyRbeektPP50+RfPaa5o7l4XrUYhKPfigPxeUDv9+Bw6oulq//y5JVVVqbNTIkSxxiYJT0ufwcaxt27R3b78uHx9u81VUaO5cJYlyObW0aNUqTuNRiEp0hA9ja1eX6uvV0aFnntE99/TfWXXY2u7dqq1VW5skXX65mptVUcEgj8JS0iN8W5tWrtS332rnTqkfJ8GFy/LDh+uJJ9Ivq9iyRYsX99PWgNNXusEnib78UnGs6mpNnSr1zXybE2wtk9H992vkSHV3K5tN17QFCkrpBh9FWrFCUaRrrtEVV/T3F8GFe/KjR2vOHI0dq3nz1NCQ/hwoHKV4Dh/Om7dt05VXqqdHr7+uZ5/VoUM655yzsNk//9SgQRo8uF83BZym3EDvQD8I5XV0qKZG27fr1lslnYV74r1fOykx6wYFqhRH+CBJtGuX/vhDVVUqKzubmxWf5FGoSjd4AMco3Yt2kuKYZ9OBIzHCA0ZKeoQH8F8EDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjPwDUoTlhUIm6lgAAAAASUVORK5CYII=", "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', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "action": "('move', [-1.3125616944595182, -0.1595800793700956, -42.49086224938778])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "3efff983801972656c705a889022093caf602b7354c190c41360fc47630fd662"} +{"episode": 32195, "episode_seed": 3745706278, "split": "train", "timestamp": "2025-09-15T23:18:04.276219", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3745706278, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "action": "('move', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "action": "('move', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "action": "('move', [-0.00441348709418438, -3.0910714259383787, 45.74242276735566])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAKk0lEQVR4nO3dXYhc5R3H8d/sTlKjUNLYROuF0NqIEkFaUYwm6kVKTEuCtsEoqCWp4I1v9KJeeau9qqCCFwXBqNESI6HGNsHcFBFLVHyLxhCRUvGlKjVGs5DNzkwv5phs0rVq3Z3d5P/53O3sDBxCvvuc85znPNPq9XoBahia7gMABkfwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgmVivN91HwBQQPBNrtdLryf54I3gm0OnkvffSaqXVSqL844fgOUI/7AMHsnx5LrggW7bkwIGm/G433e50Hx/fjuCZwIYN2bkzzz+flStz8cX505/y4YcZGsrQUA4elP0xrNVzrsY4vV5arSxZkmefTZJ2O2NjSXLeebnhhixfnh/+MElGR9NuZ8h4cawRPBPYvj1PPJENG/Lpp2m1MmtWRkeT5Nxzs3p11qzJwoVJ0u1q/hgjeL7UCy9k8+bce2/27UuSWbNy8GCSnHlmfv7z3HRTzjijeWf/P1F/ho+ZTPBMYGysuWJP8o9/ZP363HdfPvooSYaGmmv4U07JL36R22/PmWc2n+p0MjQk+xlN8Eys10u3m+Hh5sdPPsl992X9+rz1VjIu+9mzc/XVufXWnHNOZs9OkoMH027LfoYSPF+hP43Xt39/7r8/Gzdmx44kGR5Ot9ucz197ba67LpdckhNOSJKxsQwPy37GETxf16Epus8/z2OP5fHHs21bksyalaS5vP/Vr7J6dX75y2a0N6s30wieb6DXS6eTdjtJ9u3L9u156KFs3pykeXFsLK1WLr0011yTtWubvwU58jSBaSR4vrFeL2NjTcz79+fFF3PPPdm0qflt//J+eDiLFmXdutxwQ046qfmVAX/aCZ7/U//qvT+r1+nktddy5515+uns3ZuMm9U7/fTcfHOuvz4LFhz9KQZP8HwrR92B37kzd9+d7dvzz38m4xbqLViQ227LqlVZtCj54sxf9oMneCZH/4m6/hn7zp1Zvz6bN2fPniSZPbtZqDd/ftauzZVX5sILk6TTSavlJH+gBM9k6nbT6TSX92+8kaeeygMP5M03k3EL9U49NStWZN26LFmSWKU3WIJn8nU66Xab7N95J1u35u67s2tXkgwPp9NJkvnzs3hxfvvbXHpp8ynlD4DgmSrjz9g/+yxbtuT3v8+uXTl4sNlOJ8mcObnoovzud1m6NHPmJEeu6mXSCZ6p1e0e3jknycaNueeevPRS9u9Pxk3mL12a227LkiXNZP7YWHNjn8kleAZk/NqbTZuyYUO2bs3ISIaGMjzcXN4vXpzf/CYrVuS006bxSI9ngmegxt+H37o1mzZl/fqMjqbVSrvdZH/BBVm3LjfeaKHO5PPPyUD1x/OxsXQ6ufzy/PGPefbZ3HJLvvOdpvZ2Ozt2NPfz7KU16YzwTI/xy/J7vbz9du6/Pw8+mI8/zoIF2bMn3/3udB/i8UjwTKejnrr/17/yhz9k3rzcfvu0HtbxS/DMCB6nGwzX8MwIh77xor9ohylihGdmsM5uICxuYLp5YnaAnNIz3fp36jqdvPtuHnss69Y1q/CYAkZ4Bq5/jd5fUtPt5oMP8vLL2bYtGzfm/feTZPnyrFljHm8qCJ4B6n8f5aGb7/1XbrwxW7Y0b/je97JsWebNm7YjPN4Jnik2fjau/xzc7t0ZGclPftI8ItPfE2fp0qxalYsuyvnnNw/WGt6ngFl6BmVkJH/5Sx5+ODt25Mc/zt/+1qy5ef31/PvfOfvsfP/7zTs7HXN4U8QIz2Q76pGXffuye3ceeSRPPJF33mlePPHEvP12zjgj3W6zzV2+mK7vz+ExNYzwTJL+opmM26G+3c6f/5y77srf/968Z+7cLFqUFStyzTX50Y8OT8u5CT8oRni+tX7qw8NN6u+9l1NOaX61Z09T+4UXZsmSLF+eZcsOf/BQ4VIfFMHzLRwamdvtHDiQzZuzbVteey1PPplTT02SNWuyf38WLsxll+UHP0iSTqdZZiPy6eCUnm9iwnvjL72Uhx/O009n9+5mP+p7781NNx19ot7fy07q08oIz9dz1C30Viv79uXRR/Pgg3nllYyMJMmsWTnnnFx9dVauTI58IGZo6PAXzTF9jPB8lfGbTmfc0vdXX83FF+fzz9NqZeHCLF6cX/86l1129ABuwdxMIni+RH9viqS5SbZ3b3bsyF//miuuaLaSHx3NHXfkjTdyxRVZtSrz5x/+oMJnKsHzVV54IU89lWeeyXPPZWQkl1+eTZsyZ05arezdm7lzm7fZUP5Y4BqeL/Hhh3n88Tz5ZF55pXmmJclZZ+VnP8vQUPNVEnPnNt8d3W7bR/6YYIRnIqOjWbs2GzY0P86bl5Urc+21+elPj3iyxYKZY42/ykxk9uwsW5atW3Peebnyylx1VU4+eYK3Sf1YY4Tnv/Rn3fbuza5dWbz4iNcj8mOb4PmffIf78cUpPV/iqC3jOS4Y4aEQp2pQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KEQwUMhgodCBA+FCB4KETwUIngoRPBQiOChEMFDIYKHQgQPhQgeChE8FCJ4KETwUIjgoRDBQyGCh0IED4UIHgoRPBQieChE8FCI4KGQ/wAJ48Nzd6xgXgAAAABJRU5ErkJggg==", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "9e033479318797ff296b89da153c50299d621e10cd553f424eef5000249b7da6"} +{"episode": 32196, "episode_seed": 669123091, "split": "train", "timestamp": "2025-09-15T23:18:04.891879", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 669123091, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "action": "('move', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "action": "('move', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "action": "('move', [-5.1113752556898655, -0.5176827476040676, -55.820209420522495])", "reward": 0.0, "image": "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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAALKUlEQVR4nO3dfYhVdR7H8c85984Tq0lKxewiLeVS5lqjFCRmVPYElshOs9L+Y5AaYRLUpFJkuNFQU7RZIhlhJkVY/iFaUCIZA2EPRG1WWGkpWlauD6E15txzzv7xO4vZjjqO92Hy837hPzPDdQ467/v93XN+c26UZZkAeIhrfQAAqofgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvCAEYIHjBA8YITgASMEDxgheMAIwQNGCB4wQvADUZbV+ghwiiL4ASdN8z9A2RVrfQA4QqmkIv8nqBgm/ACSZSoW9eWXmjZNGzcqy1jbo8yYJgNClimKdOiQFv4rXfx0vG2bdu7U2rUEjzJjwg8YWZbGevvf8bZtqq/XunVavlxRpCSp9YHhFELwA0IUqfSffU0LH5gz9p0hf/ildChTpgcf1O7diiJO4KFsCH4AyDJJxTfXJvf8c/yzf5t++ZasPoqidPNmdXQojgkeZUPwA0AY4p2dUSFO/nrJXY//6dw/p2kWFQp6/nm9846KRZVKtT5InBIIvtbC+F69Wh9+GNc3qPUffzx/yL3tSRxHWabdu/XIIzpwgDmP8iD4Wgsn4h9/XJLGjCn8vTXpSW6ZXrzqKqWp6uu1erXWrFEcK4pqe6A4FRB8TZVKKhS0Zo0++ECSZsxQsRhHWRRFjz2mxsZ8y9399+uHH7gsjzIg+JqKIpVKevFFHTyoUaN0883KsqhYzDJddJHa2/ONd1u2qLOTIY8yIPjaCeP9rbf0yitKU82erYaG8JUwye+4QyNHKklUKGjRonwRwJDHySD42ikUlKY6/3x1dGjiRLW15RvupDhWkuiss3TvvflK/pdfNGdO/jiaR79FGT8+NRTGt6T9+zV48K+/kqbKMiWJ2tq0erWKRSWJlizRjBnq6VFdXW2OF793BD8A/G+w/0Z4Ab9hgyZP1u7dkjRypF5/XcOHH36iAE4IS/oayTJ9/72WL9d33+Uf/p+w32bcON1yi7JMhYI++0xPPKFSiTP26CeCr4Uw0pcs0bRpuusu/fjj0XbMFwrKMs2bpxEj8qm+bJnef1/FIsGjPwi+6kLte/fqmWdULKqxUY2NSpJeV/Xhc8OG6aGH8sL37NGCBeruVhTRPE4YwVddyHTpUn3zjYYO1cyZamw82st4KQ+7rU2TJytJVFenN97QypWKIi7L44Rx0q66wr/2wYO68EJt2aK2Nq1Ycdz7WoVng40bdemlOnhQWabmZn38sYYOpXmcGCZ8dYWl+7PP6quv1NioWbMk9aXaLNPo0Zo7V2mqQkHffqv58/lVeZwwgq+iLFMc68ABvfSS0lQTJujyy/Pz78cUws4yzZih0aPzHXrPPae338636AB9RPBVVCopjrVsmd59V5LmzMk77oOwK6+5WXPnqqlJkrq79cAD+uknib136DOCr6I4lqSxY3XJJRo/XldcoTjOP9m3R/f06KabdPXV+dm7ri698IIKBYY8+oqTdlUU5nmhoO5u/fxzP865paniWB99pIkTtW9fvhP/1Vd17rn5l4Bj42ekiuI4H8dNTRo2rB9n2MN9b1padPvtSlPV1WnTJj31lNKU0/XoEyZ8tWSZduzQrl0aOzb/sF+NhscdOKCLL9YXXyiKVF+vN9/UuHH9/ithhAlfLVGk+fM1ZYoWL84ncr+easPjBg1SZ+fhi/rz5qlUonYcH8FXXuhy0yatWKHt27VjR36jm/4GGpqfNElTp+YL+64uLV16+FsBR0Pw1bJwobq7dcEFuu22k98WG7bfzJ2rM87IL/YtWKCdO9lgj+Mg+AoLZ+a3bdPLLyuONWmSzj5bPT0n+evsYb/NmDGaPVtRdHjvXbhnBnA0BF9h4XLZwoXas0dnnqmZM/uyte64whIhTTV9ulpa8ieQlSu1bl1+bxygVwRfSeFX2Hfs0KpVknTjjRoxIt9ge9LCJbrmZs2bp8ZGSdq3Tw8/rL17JbHHHr0j+EoKF8qeflpbt6qpSffcU94r5mGYt7bq+usP771bsYK7X+GoCL5iwtI9NB/Ham3VX/5S9pvLh725nZ0aNEhJolJJHR3aupW3pkLv2HhTSaG5KNKnn+q00zR8eCWulYenlI4O3Xef6urU06NZs7RoEftw0AuCr7Cwhq9keSHs/fs1frw2blQcK8vU1aXLLqN5/BZL+opJU+3ala/hK7m8DtfeBw9WR4fq6/Pg775bhw5V7nvi94rgKyAsmkol3XqrrrtOXV1VuDdNkuiaa9TWlt8v6733tHixoohLdDgCwVdMV5fWrNHatdq+vQpDXlJDg9rb87epiGM9+aQ2b+aWODgCwVfMo48qinTllbrhhnJdez+GQkE9PWpp0fTpktTQoK+/VkcHm21xBIIvt3CWbsMGdXWpWFRrq4YMyfe7V1h4d4o771RLi7q7dc45GjVKScK7VuAwztKXVXgLqDTVtddq/XqNHq3163X66VW7iXzY2rdqlV57Te3tOu88TtTjCMe6HTpOWAg7yzRhgj75RFOnatiw/CV1VYSdPlOmaMoUSce94T3sMOEr5vPP1dyswYOrP2HDIiNs8AN+jeBPTazk0StGQGWEIVu7J1NqR6+Y8IARJjxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8IARggeMEDxghOABIwQPGCF4wAjBA0YIHjBC8ICR/wJbCvrvbzXptgAAAABJRU5ErkJggg==", "image_next": "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", "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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", "image_prev": "iVBORw0KGgoAAAANSUhEUgAAAVAAAAFQCAIAAABmirGOAAAIjUlEQVR4nO3dXailVR3H8f/a+0w5vo7U3BgOkpqJoiVYXillamXRQBaaI5Q0F94YYuRF9xbRRVQqFAoFzoxvoBK+UBEJQUh6nER0jCTNcHzLKZjBYc5+Vhd7Cro/ez8Hf5/P5blabNZ3r/OsZz3Pbr33AjJMxh4AsDyChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCChyCC30CGoXofexC8p7Vuim0wvVdrYw+C9ygr/EZx5Ejt3l2rq2pngQQ/vt6r93r1H7VzZ118cV19de3bd/TvsL4EP77WqrW647Z+8GAdPFj33FOrq2OPifco1/Ajm3/8b71dZ585e+ff097roovqkUdqy5Yahpr4QmZdmVAjG4ZqrX7yo9nb/5pWq977N77e1c6CmFNj6r0mk3rzzdpzz6T1GmZ1/nl15ZVHr+ph3Ql+TGtr1Vr98hfDX19qbVqt9a9+pZ/yoTab1XQ69uB4L1oZewC5hqFWVurAgb7nnskwVFWdeUZ9bcfEfXgWxwo/mvnV+wP31+pqb60mk/rC54fTTivLO4sj+HEMQ02ndeBA7d7TZrNWVSedONz07WnvameBBD+a1uqJJ+qJJ2plpXqvq65qp5569O+wIIIfwXxz/tChuvPOOnKkeq+VlfrOLW3+Tz4sjuDH0Xs9s7cefrg2barZrK67rs44w413Fs4UG8H8LO0Pf9Crqvc65pi64YYqh+dZPMGPoPd69tl6+KE+ndbaWm3fXueeO/aYyCD4ZZtfqH//1tmsJr3X+9/Xr9vRN2+u2cwFPAvn4M1SzWt/7rl6/NeT1mvodeml9alPt/k2HiyaWbZU8+Dv+Ons7berTWq60q+5pm/efPSMLSya4JdnfoRu377+q0cnrbVhqIsurC9tn8zP2MISCH6pWqvdu+rll6uqNm2qa64ZTjih3H5nabwAY0nmz7f//ZV+xRX1wr7We515+uxPT0+PP97VO8tjri3VQw+35184elr+mzsnJ55obWeprPDLMH/i9a0367LLa+/eaq0++IH+4l+a4FkyK/yS9F6/+W0980ytrNQw1I3faiedpHaWzQq/JEeO1Cc/0Vf3tumkTj65nnqqtm3zmxMsmxV+4eYvqHv88Vp9plamNZv1nTv7KaeonREIfhlaq+/dOkwmbRhq69a66stHn4GHJRP8Ys1PyD/2WD31dKuqYajt29v5H/PoO+MQ/GINQ81mdduPZ4cPV++1ZUvfce0wnTpswzgEv0Bra7VpU/3+d/0Pf5y01nrvn7m0Lr7EWVpGI/hFme/JzYa6e1d/552qVsce266/vlfV/KXUsHyCX5T5ozKrTw0PPtjapPWhX3jB7LLLLe+MSfAL8b+3Td977+Sf79Sk1aS1G2+aSJ1xOXizEPNHZV58sS65pN54o6rqvHOG1T/7emVkpuBCtFa913331f79Nd+Tv+W7PmrGZ4VflLfeqvPO66+/3nqvs86qJ5+sE05wuo6RWXbW3/wr9O67+2uvtZWV6r3ffHMdf7zaGZ8Vfv31XocP19lnzV55ddp7nf3R/uhjbdu2oxf2MCITcJ3Nz9LedVf/2yvT1qr3vuPavm1bzWZqZ3xuE62/Q4fq5z/rVTUb2odPb1++auwBwX9ZdNbTkSM1nda9e4YX9k1aa9X7F6/sHzmrra35EWg2BMGvm/lhmwMHateu9u67vbXaurXt3Nns1bFxCH7dzPfkXnqpnnu+VbVhqM99tp9zbg2D5Z2Nwi79euq91tZq//66/fbas6ceuL8+fkFVWeHZKAS/KAcP1nHHjT0I+H+CX3/zT9Sqzgbkttz6kzoblk07CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CCJ4CPIfZMvzMKSbQWQAAAAASUVORK5CYII=", "image_next": "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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": "057d1e53ef4414501d124bc8acbc9d310a565c3663ab064c35d8d037aabb97a3"} +{"episode": 32197, "episode_seed": 1663654902, "split": "train", "timestamp": "2025-09-15T23:18:05.508318", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 1663654902, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "action": "('move', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "action": "('move', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "action": "('move', [-0.0844417748732853, -3.6337243332380136, -43.9772831491033])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "d259108dd8d42b81048c5748332e4c6af417988de0a06fde4560cb0c6aac71eb"} +{"episode": 32198, "episode_seed": 688994861, "split": "train", "timestamp": "2025-09-15T23:18:06.468106", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 688994861, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "action": "('move', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "action": "('move', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "action": "('move', [-2.099843391871832, 15.540935845375808, 43.3905110548111])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "bc885fd9d2024c0749e31acdb04e5d3f2f13a7c305511ea125d35dc50e30d0a1"} +{"episode": 32199, "episode_seed": 3153302486, "split": "train", "timestamp": "2025-09-15T23:18:07.078732", "batch_dir": null, "init_args": {"env_repr": ">>", "vlm_repr": "", "max_steps": 10, "abs_size": 336, "master_seed": 363, "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": 3153302486, "verbose": false, "save_verbose": false, "elicit_verbalization": true, "repeat_instructions": false, "include_env_feedback": true, "num_interaction_history": 0, "widget_log": false, "autosave_path": null, "save_history_at_episode_end": false}, "stats": {"step": 4, "reward": 1.0, "terminated": true, "truncated": false}, "history": [{"step": 0, "prompt": "You see a blue stick and a red target stick on a canvas. Your goal is to move and rotate the blue stick to match the red target stick. Unit moves are in an *unknown* scale (could be tiny or huge).\n\nAvailable actions:\n1. 'move': Translate by dx,dy units (any real number) and rotate by d\u03b8\u00b0 (any real number). Format: `('move', [dx, dy, d\u03b8])`\n2. 'stop': Submit your current stick as final. You win (+1) if your stick is within 5px and 10\u00b0 of the target. Format: `('stop', 'stop')`\n\nPlease respond with exactly one action and its arguments in the specified format. For example:\n- Move right by 2 units and rotate 45\u00b0: `('move', [2, 0, 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', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "action": "('move', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "action": "('move', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "action": "('move', [0.4244902503437795, -1.9883509062037659, 35.608846174569045])", "reward": 0.0, "image": "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", "image_prev": "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", "image_next": "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", "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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", "image_prev": "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", "image_next": "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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": "6190fc31380428ef6c48de2fdd7cea7dde45b41f77b4094e57e2b80a34145c07"}