{
"timestamp": "2025-09-30T15:41:03.951159",
"case_name": "chameleon",
"status": "failed",
"duration": 0.144785,
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"task_description": "Your agent_mode is \"pvpython\", use it when saving results. Your working directory is \"/Users/kuangshiai/Documents/ND-VIS/Code/SciVisAgentBench/benchmark/../SciVisAgentBench-tasks/main\", and you should have access to it. In the following prompts, we will use relative path with respect to your working path. But remember, when you load or save any file, always stick to absolute path.\n\nTask:\n\nLoad the chameleon dataset from \"chameleon/data/chameleon_256x256x270_float32.raw\", the information about this dataset:\nchameleon (Scalar)\nData Scalar Type: float\nData Byte Order: little Endian\nData Extent: 256x256x270\nNumber of Scalar Components: 1\nData loading is very important, make sure you correctly load the dataset according to their features.\n\nApply the volume rendering to visualize the chameleon dataset\n\nAdjust the transfer function to highlight the bony structures and skin in an X-ray style.\n\nAdjust the camera position and focus on the head part of the chameleon\n\nPlease think step by step and make sure to fulfill all the visualization goals mentioned above.\n\nFinally, save the paraview state as \"chameleon/results/{agent_mode}/chameleon.pvsm\"",
"full_result": {
"case_name": "chameleon",
"status": "failed",
"start_time": "2025-09-30T15:41:03.806251",
"task_description": "Your agent_mode is \"pvpython\", use it when saving results. Your working directory is \"/Users/kuangshiai/Documents/ND-VIS/Code/SciVisAgentBench/benchmark/../SciVisAgentBench-tasks/main\", and you should have access to it. In the following prompts, we will use relative path with respect to your working path. But remember, when you load or save any file, always stick to absolute path.\n\nTask:\n\nLoad the chameleon dataset from \"chameleon/data/chameleon_256x256x270_float32.raw\", the information about this dataset:\nchameleon (Scalar)\nData Scalar Type: float\nData Byte Order: little Endian\nData Extent: 256x256x270\nNumber of Scalar Components: 1\nData loading is very important, make sure you correctly load the dataset according to their features.\n\nApply the volume rendering to visualize the chameleon dataset\n\nAdjust the transfer function to highlight the bony structures and skin in an X-ray style.\n\nAdjust the camera position and focus on the head part of the chameleon\n\nPlease think step by step and make sure to fulfill all the visualization goals mentioned above.\n\nFinally, save the paraview state as \"chameleon/results/{agent_mode}/chameleon.pvsm\"",
"llm_rubric": "1. Overall Visualization Goal: Does the result present a clean, X-ray–style volume rendering where the chameleon's bony structures are clearly emphasized and soft tissue is faint but discernible?\n\n2. Data Loading Correctness: Is the RAW volume loaded with the specified metadata (float32, little-endian, 256×256×270, 1 component) so that the histogram looks reasonable and the anatomy is not flipped or distorted?\n\n3. Transfer Function Quality: Does the grayscale transfer function make low-intensity tissue mostly transparent while assigning higher opacity to bones/skin ridges, yielding good depth cues without over-saturation or banding?\n\n4. Camera & Framing: Is the camera positioned and zoomed to focus on the chameleon's head, keeping it sharply framed (no clipping), with a stable viewpoint that highlights key anatomical details?",
"evaluation_subtype": "vision",
"is_vision_evaluation": true,
"response": "",
"error": "\r\n404 Not Found\r\n\r\n404 Not Found
\r\n
nginx\r\n\r\n",
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"end_time": "2025-09-30T15:41:03.951036",
"duration_seconds": 0.144785
}
}