# Comprehensive Data Identification Test Cases for SciVisAgentBench
# This test evaluates the ability to identify and understand data content
# without prior knowledge from metadata or naming patterns

# 1. Aneurism Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_001/data/data_001_256x256x256_uint8.raw".
        Use visualization tools to determine what object or structure is contained in this dataset. Save the 1280*1280 visualization image as "dataset_001/results/{agent_mode}/dataset_001.png"
        Provide a textual report identifying what you observe and save it to "dataset_001/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          The assistant should identify the data shows an aneurism or vascular structure
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows an aneurism or vascular structure with a reasonable transfer function, and the object is shown clearly

# 2. Backpack Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_002/data/data_002_512x512x373_uint16.raw".
        Use visualization tools to determine what object is contained in this dataset. Save the 1280*1280 visualization image as "dataset_002/results/{agent_mode}/dataset_002.png"
        Provide a textual report identifying what you observe and save it to "dataset_002/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          The assistant should identify that the data shows a backpack
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a backpack with a reasonable transfer function, and the object is shown clearly

# 3. Blunt Fin Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_003/data/data_003_256x128x64_uint8.raw".
        Use visualization tools to determine what object or structure is in this dataset. Save the 1280*1280 visualization image as "dataset_003/results/{agent_mode}/dataset_003.png"
        Provide a textual report identifying what you observe and save it to "dataset_003/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          The assistant should identify a fin or aerodynamic strcuture or simulation result in the data
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a fin or aerodynamic strcuture or simulation result in the data with a reasonable transfer function, and the object is shown clearly

# 4. Bonsai Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_004/data/data_004_256x256x256_uint8.raw".
        Use visualization tools to determine what object is contained in this dataset. Save the 1280*1280 visualization image as "dataset_004/results/{agent_mode}/dataset_004.png"
        Provide a textual report identifying what you observe and save it to "dataset_004/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a bonsai tree or botanical structure in the data
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a bonsai tree or botanical structure in the data with a reasonable transfer function, and the object is shown clearly

# 5. Boston Teapot Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_005/data/data_005_256x256x178_uint8.raw".
        Use visualization tools to determine what object is in this dataset. Save the 1280*1280 visualization image as "dataset_005/results/{agent_mode}/dataset_005.png"
        Provide a textual report identifying what you observe and save it to "dataset_005/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a teapot in the visualization
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a teapot in the visualization with a reasonable transfer function, and the object is shown clearly

# 6. Bunny Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_006/data/data_006_512x512x361_uint16.raw".
        Use visualization tools to determine what object is in this dataset. Save the 1280*1280 visualization image as "dataset_006/results/{agent_mode}/dataset_006.png"
        Provide a textual report identifying what you observe and save it to "dataset_006/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a bunny or rabbit in the 3D scanned data
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a bunny or rabbit in the 3D scanned data with a reasonable transfer function, and the object is shown clearly

# 7. Carp Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_007/data/data_007_256x256x512_uint16.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_007/results/{agent_mode}/dataset_007.png"
        Provide a textual report identifying what you observe and save it to "dataset_007/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a carp or fish anatomy
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a carp or fish anatomy with a reasonable transfer function, and the object is shown clearly

# 8. Engine Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_008/data/data_008_256x256x128_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_008/results/{agent_mode}/dataset_008.png"
        Provide a textual report identifying what you observe and save it to "dataset_008/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify an engine or mechanical components
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows an engine or mechanical components with a reasonable transfer function, and the object is shown clearly

# 9. Foot Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_009/data/data_009_256x256x256_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_009/results/{agent_mode}/dataset_009.png"
        Provide a textual report identifying what you observe and save it to "dataset_009/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a foot with bone and tissue structures
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a foot with bone and tissue structures with a reasonable transfer function, and the object is shown clearly

# 10. Frog Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_010/data/data_010_256x256x44_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_010/results/{agent_mode}/dataset_010.png"
        Provide a textual report identifying what you observe and save it to "dataset_010/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a frog specimen with internal anatomy
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a frog specimen with internal anatomy with a reasonable transfer function, and the object is shown clearly

# 11. Fuel Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_011/data/data_011_64x64x64_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_011/results/{agent_mode}/dataset_011.png"
        Provide a textual report identifying what you observe and save it to "dataset_011/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify fuel combustion or related simulation
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows fuel combustion or related simulation with a reasonable transfer function, and the object is shown clearly

# 12. Hydrogen Atom Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_012/data/data_012_128x128x128_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_012/results/{agent_mode}/dataset_012.png"
        Provide a textual report identifying what you observe and save it to "dataset_012/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should recognize hydrogen atom orbital or probability distribution
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows hydrogen atom orbital or probability distribution with a reasonable transfer function, and the object is shown clearly

# 13. Lobster Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_013/data/data_013_301x324x56_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_013/results/{agent_mode}/dataset_013.png"
        Provide a textual report identifying what you observe and save it to "dataset_013/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a lobster or crustacean anatomy
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a lobster or crustacean anatomy with a reasonable transfer function, and the object is shown clearly

# 14. MRI Ventricles Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_014/data/data_014_256x256x124_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_014/results/{agent_mode}/dataset_014.png"
        Provide a textual report identifying what you observe and save it to "dataset_014/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify brain ventricles or ventricular structures
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows brain ventricles or ventricular structures with a reasonable transfer function, and the object is shown clearly

# 15. MRI Woman Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_015/data/data_015_256x256x109_uint16.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_015/results/{agent_mode}/dataset_015.png"
        Provide a textual report identifying what you observe and save it to "dataset_015/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify human anatomical structures from MRI scan
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows human anatomical structures from MRI scan with a reasonable transfer function, and the object is shown clearly

# 16. MRT Angio Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_016/data/data_016_416x512x112_uint16.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_016/results/{agent_mode}/dataset_016.png"
        Provide a textual report identifying what you observe and save it to "dataset_016/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify angiography or vascular structures
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows angiography or vascular structures with a reasonable transfer function, and the object is shown clearly

# 17. Neocortical Layer 1 Axons Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_017/data/data_017_1464x1033x76_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_017/results/{agent_mode}/dataset_017.png"
        Provide a textual report identifying what you observe and save it to "dataset_017/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify neural axons or neocortical network structures
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows neural axons or neocortical network structures with a reasonable transfer function, and the object is shown clearly

# 18. Nucleon Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_018/data/data_018_41x41x41_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_018/results/{agent_mode}/dataset_018.png"
        Provide a textual report identifying what you observe and save it to "dataset_018/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should visualize nucleon or particle physics data
    - type: llm-rubric
      subtype: vision
      value: |
          Should visualize nucleon or particle physics data with a reasonable transfer function, and the object is shown clearly

# 19. Pancreas Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_019/data/data_019_240x512x512_int16.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_019/results/{agent_mode}/dataset_019.png"
        Provide a textual report identifying what you observe and save it to "dataset_019/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify pancreas or pancreatic anatomy
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows pancreas or pancreatic anatomy with a reasonable transfer function, and the object is shown clearly

# 20. Silicium Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_020/data/data_020_98x34x34_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_020/results/{agent_mode}/dataset_020.png"
        Provide a textual report identifying what you observe and save it to "dataset_020/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify silicon crystal or material structure
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows silicon crystal or material structure with a reasonable transfer function, and the object is shown clearly

# 21. Skull Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_021/data/data_021_256x256x256_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_021/results/{agent_mode}/dataset_021.png"
        Provide a textual report identifying what you observe and save it to "dataset_021/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          1. Should identify skull or cranial bone structures
    - type: llm-rubric
      subtype: vision
      value: |
          1. Should identify skull or cranial bone structures

# 22. Statue Leg Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_022/data/data_022_341x341x93_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_022/results/{agent_mode}/dataset_022.png"
        Provide a textual report identifying what you observe and save it to "dataset_022/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify a statue leg or sculptural form
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows a statue leg or sculptural form with a reasonable transfer function, and the object is shown clearly

# 23. Stent Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_023/data/data_023_512x512x174_uint16.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_023/results/{agent_mode}/dataset_023.png"
        Provide a textual report identifying what you observe and save it to "dataset_023/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      value: |
          Should identify a stent or medical device mesh structure

# 24. Supernova Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_024/data/data_024_256x256x256_float32.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_024/results/{agent_mode}/dataset_024.png"
        Provide a textual report identifying what you observe and save it to "dataset_024/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify supernova or astrophysical explosion simulation
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows supernova or astrophysical explosion simulation with a reasonable transfer function, and the object is shown clearly

# 25. Tooth Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_025/data/data_025_103x94x161_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_025/results/{agent_mode}/dataset_025.png"
        Provide a textual report identifying what you observe and save it to "dataset_025/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify tooth or dental anatomy
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows tooth or dental anatomy with a reasonable transfer function, and the object is shown clearly

# 26. Tornado Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_026/data/data_026_64x64x64_float32_scalar3.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_026/results/{agent_mode}/dataset_026.png"
        Provide a textual report identifying what you observe and save it to "dataset_026/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify tornado or vortex flow pattern
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows tornado or vortex flow pattern with a reasonable transfer function, and the object is shown clearly

# 27. Visible Male Dataset
- vars:
    question: |
        Clear the ParaView pipeline and load the data file "dataset_027/data/data_027_128x256x256_uint8.raw".
        Use visualization tools to examine what is shown in this dataset. Save the 1280*1280 visualization image as "dataset_027/results/{agent_mode}/dataset_027.png"
        Provide a textual report identifying what you observe and save it to "dataset_027/results/{agent_mode}/answers.txt"
  assert:
    - type: llm-rubric
      subtype: text
      value: |
          Should identify human anatomical structures
    - type: llm-rubric
      subtype: vision
      value: |
          The visualization image shows human anatomical structures with a reasonable transfer function, and the object is shown clearly