SciVisAgentBench-tasks / paraview /carp /task_description.txt
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Task:
Load the carp dataset from "carp/data/carp_256x256x512_uint16.raw", the information about this dataset:
Carp (Scalar)
Data Scalar Type: unsigned short
Data Byte Order: little Endian
Data Spacing: 0.78125x0.390625x1
Data Extent: 256x256x512
Instructions:
1. Load the dataset into ParaView.
2. Apply volume rendering to visualize the carp skeleton.
3. Adjust the transfer function to highlight only the bony structures in an X-ray style (suppressing soft tissue).
4. Optimize the viewpoint to display the full skeleton, ensuring the head, spine, and fins are all clearly visible in a single frame.
5. Analyze the visualization and answer the following questions:
Q1: Which of the following options correctly describes the fins visible in the carp skeleton visualization?
A. 5 fins: 1 dorsal, 2 pectoral, 2 pelvic
B. 6 fins: 1 dorsal, 2 pectoral, 2 pelvic, 1 caudal
C. 7 fins: 1 dorsal, 2 pectoral, 2 pelvic, 1 anal, 1 caudal
D. 8 fins: 2 dorsal, 2 pectoral, 2 pelvic, 1 anal, 1 caudal
Q2: Based on the visualization, what is the approximate ratio of skull length to total body length?
A. ~15%
B. ~22%
C. ~30%
D. ~40%
6. Use a white background. Find an optimal view. Render at 1280x1280. Do not show a color bar or coordinate axes.
7. Save your work:
Save the visualization image as "carp/results/{agent_mode}/carp.png".
Save the answers to the analysis questions in plain text as "carp/results/{agent_mode}/answers.txt".
(Optional, but must save if use paraview) Save the paraview state as "carp/results/{agent_mode}/carp.pvsm".
(Optional, but must save if use pvpython script) Save the python script as "carp/results/{agent_mode}/carp.py".
(Optional, but must save if use VTK) Save the cxx code script as "carp/results/{agent_mode}/carp.cxx"
Do not save any other files, and always save the visualization image and the text file.