SciVisAgentBench/SciVisAgentBench-tasks

SciVisAgentBench Tasks

This repository is a secondary repo of SciVisAgentBench, contains scientific data analysis and visualization datasets and tasks for benchmarking scientific visualization agents.

To learn more or contribute to SciVisAgentBench, please visit our project page.

Data Organization

All the volume datasets from http://klacansky.com/open-scivis-datasets/ have been organized into a consistent structure.

Directory Structure

The datasets and tasks for ParaView-based visualizations are organized into the main, the sci_volume_data, and the chatvis_bench folders. The bioimage_data folder holds tasks for bioimage visualization, and molecular_vis folder holds tasks for molecular visualization. The chatvis_bench folder contains 20 test cases from the official ChatVis benchmark.

Each dataset in the main, the sci_volume_data, and the chatvis_bench folders follows this structure:

dataset_name/
├── data/
│   ├── dataset_file.raw         # The actual data file
│   └── dataset_name.txt         # Metadata about the dataset
├── GS/                          # Ground truth folder (ParaView state + pvpython code)
├── task_description.txt         # ParaView visualization task
└── visualization_goals.txt      # Evaluation criteria for the visualization

Available Volume Datasets

• 37 datasets under 512MB are suggested to be downloaded
• 18 datasets over 512MB are listed but not downloaded

See datasets_list.md for a complete list with specifications. And datasets_info.json is the complete JSON file with all dataset metadata.

Task Descriptions

Each dataset has:

1. Task descriptions - Based on dataset type (medical, simulation, molecular, etc.)
2. Visualization goals - Evaluation criteria tailored to the dataset characteristics
3. Ground Truth - Ground truth pvpython code, ParaView state and screenshots

Acknowledgement

SciVisAgentBench was mainly created by Kuangshi Ai (kai@nd.edu), Shusen Liu (liu42@llnl.gov), and Haichao Miao (miao1@llnl.gov). Some of the test cases are provided by Kaiyuan Tang (ktang2@nd.edu) and Jianxin Sun (sunjianxin66@gmail.com). We sincerely thank the open-source community for their invaluable contributions. This project is made possible thanks to the following outstanding projects:

• ParaView-MCP
• Bioimage-agent
• ChatVis
• GMX-VMD-MCP

License

© 2025 University of Notre Dame.
Released under the License.