| | --- |
| | pretty_name: SciVisAgentBench |
| | task_categories: |
| | - text-to-3d |
| | - other |
| | --- |
| | |
| | # SciVisAgentBench Tasks |
| |
|
| | This repository is a secondary repo of [SciVisAgentBench](https://github.com/KuangshiAi/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](https://scivisagentbench.github.io/). |
| |
|
| | ## 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](https://github.com/tpeterka/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](https://github.com/LLNL/paraview_mcp) |
| | - [Bioimage-agent](https://github.com/LLNL/bioimage-agent) |
| | - [ChatVis](https://github.com/tpeterka/ChatVis) |
| | - [GMX-VMD-MCP](https://github.com/egtai/gmx-vmd-mcp) |
| |
|
| | ## License |
| |
|
| | © 2025 University of Notre Dame. |
| | Released under the [License](./LICENSE). |
