# Selected 15 Cases for Human Evaluation # These cases represent diverse visualization capabilities across the benchmark # # Each case specifies: # - name: The case directory name # - path: Path to the case directory (relative to workspace root) # - yaml: Path to the YAML file containing evaluation criteria # - description: Brief description of what the case tests cases: - name: argon-bubble path: SciVisAgentBench-tasks/paraview/argon-bubble yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Color & Opacity Mapping, Volume Rendering agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: richtmyer path: SciVisAgentBench-tasks/paraview/richtmyer yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Color & Opacity Mapping, Volume Rendering agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: foot path: SciVisAgentBench-tasks/paraview/foot yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Volume Rendering agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: crayfish_streamline path: SciVisAgentBench-tasks/paraview/crayfish_streamline yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Surface & Contour Extraction agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: twoswirls_streamribbon path: SciVisAgentBench-tasks/paraview/twoswirls_streamribbon yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Surface & Contour Extraction agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: tornado path: SciVisAgentBench-tasks/paraview/tornado yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Surface & Contour Extraction, Glyph & Marker Placement agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: tgc-velocity_contour path: SciVisAgentBench-tasks/paraview/tgc-velocity_contour yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Surface & Contour Extraction agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: rti-velocity_slices path: SciVisAgentBench-tasks/paraview/rti-velocity_slices yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: View & Camera Control, Data Subsetting & Extraction agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: rti-velocity_glyph path: SciVisAgentBench-tasks/paraview/rti-velocity_glyph yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Glyph & Marker Placement, Data Subsetting & Extraction agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: supernova_isosurface path: SciVisAgentBench-tasks/paraview/supernova_isosurface yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Surface & Contour Extraction (isosurface) agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: time-varying path: SciVisAgentBench-tasks/paraview/time-varying yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Temporal Processing agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: chart-opacity path: SciVisAgentBench-tasks/paraview/chart-opacity yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Plot & Chart Generation agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: climate path: SciVisAgentBench-tasks/paraview/climate yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Field Computation agent_mode: chatvis_claude-sonnet-4-5_exp1 # - name: subseries-of-time-series # path: SciVisAgentBench-tasks/paraview/subseries-of-time-series # yaml: benchmark/eval_cases/paraview/paraview_cases.yaml # description: Dataset Restructuring # agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: shrink-sphere path: SciVisAgentBench-tasks/paraview/shrink-sphere yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Geometric & Topological Transformation agent_mode: chatvis_claude-sonnet-4-5_exp1 - name: import-gltf path: SciVisAgentBench-tasks/paraview/import-gltf yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Dataset Restructuring, View & Camera Control agent_mode: paraview_mcp_claude-sonnet-4-5_exp1 - name: render-histogram path: SciVisAgentBench-tasks/paraview/render-histogram yaml: benchmark/eval_cases/paraview/paraview_cases.yaml description: Plot & Chart Generation, Color & Opacity Mapping agent_mode: chatvis_claude-sonnet-4-5_exp1 # From molecular_vis/workflows (2 cases) - name: curved-membrane path: SciVisAgentBench-tasks/molecular_vis/workflows/curved-membrane yaml: benchmark/eval_cases/molecular_vis/workflows/eval_analysis_workflows.yaml description: Data Subsetting & Extraction agent_mode: gmx_vmd_mcp_claude-sonnet-4-5_exp1 - name: ras-raf-membrane path: SciVisAgentBench-tasks/molecular_vis/workflows/ras-raf-membrane yaml: benchmark/eval_cases/molecular_vis/workflows/eval_analysis_workflows.yaml description: View & Camera Control agent_mode: gmx_vmd_mcp_claude-sonnet-4-5_exp1 - name: bio_isosurface-determination path: SciVisAgentBench-tasks\bioimage_data\eval_iso_surface_determination\operation_1 yaml: benchmark\eval_cases\napari\1_workflows\eval_iso_surface_determination.yaml description: Surface & Contour Extraction (isosurface) agent_mode: napari_mcp_claude-sonnet-4-5_exp_default task_description: 1. Read the file "data/dataset_003/eval_iso_surface_determination_target_1.txt" to get the target iso-surface values for different tooth structures. 2. Load data/dataset_003/dataset_003.tif into napari. 3. Switch to 3D view mode and set the rendering to iso. 4. Find the iso surface value that shows the target clearly. 5. Rotate the camera to several angles and take a screenshot of the result each time to check if the target structure is clearly visible from different angles. 6. If the target structure is not clearly visible, adjust the iso surface value and take a screenshot again. 7. Stop when the target structure is clearly visible or you have tried five different iso surface values. 8. Save the final screenshot to "eval_iso_surface_determination/screenshot.png". vision-rubrics: 1. Does the result rendering look similar to ground truth? 2. Does the visualization show the target structure clearly? - name: bio_visualization-workflows path: SciVisAgentBench-tasks\bioimage_data\eval_visualization_workflows\operation_1 yaml: benchmark\eval_cases\napari\1_workflows\eval_visualization_workflows.yaml description: Color & Opacity Mapping, Volume Rendering, Temporal Processing agent_mode: napari_mcp_claude-sonnet-4-5_exp_default task_description: 1. Load the "data/dataset_002/dataset_002.tif" dataset into napari. 2. Depending on the number of channels, set the colormap for the first channel 0 to red and channel 1 to green. 3. Switch to the 3D view. 4. Use additive blending for all channels to create an overlay visualization. 5. Go the timestep 14. Q1. Does the cell show protrusions? (Yes/No) 6. Take a screenshot of the result, save it to "eval_visualization_workflows/screenshot_1.png" 7. Answer Q1 in a plain text file "eval_visualization_workflows/Q1_answer.txt". vision-rubrics: 1. Does the visualization show a green cell with red blobs on the inside? 2. Does the result rendering look similar to ground truth? - name: bio_figure-recreation path: SciVisAgentBench-tasks\bioimage_data\eval_figure_recreation\operation_1 yaml: benchmark\eval_cases\napari\1_workflows\eval_figure_recreation.yaml description: Color & Opacity Mapping, Volume Rendering agent_mode: napari_mcp_claude-sonnet-4-5_exp_default task_description: 1. Load the dataset into napari "data/dataset_001/dataset_001.tiff" 2. Read the target figure "data/dataset_001/dataset_001.png" but don't load it into napari. 3. Read the dataset description "data/dataset_001/dataset_001.yaml". 4. Set the same colormaps and blending modes as the target figure. 5. Adjust contrast and gamma as needed to match the target figure. 6. Take a screenshot of your recreation. 7. If the recreation does not match the target figure, adjust the visualization settings and take a screenshot again. 8. Stop when the recreation matches the target figure or you have tried five different visualization settings. 9. Save the final screenshot to "eval_figure_recreation/screenshot.png". vision-rubrics: 1. Does the visualization show a green cell with red blobs on the inside? 2. Does the result rendering look similar to ground truth?