| # Figure Recreation Tests for napari-mcp | |
| # These tests evaluate the agent's ability to recreate scientific figures from papers | |
| # Focus: Loading data, applying appropriate visualization settings, and matching target figures | |
| #Test: Recreate a figure from a dataset. | |
| - vars: | |
| question: | | |
| 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". | |
| assert: | |
| - type: llm-rubric | |
| subtype: vision | |
| value: | | |
| 1. Does the result screenshot look similar to the ground truth image? | |
| 2. Are the same colormaps and blending modes used as in the target figure? | |
| 3. Is the contrast and gamma adjusted to match the target figure? | |
| gs-file: GS/dataset_001.png | |
| rs-file: eval_figure_recreation/screenshot.png | |
| options: | |
| cache: false | |
| runSerially: true | |