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task_categories:
- text-to-3d
- other
pretty_name: SciVisAgentBench
license: other
---
# SciVisAgentBench Tasks
[Paper](https://huggingface.co/papers/2603.29139) | [Project Page](https://scivisagentbench.github.io/) | [GitHub](https://github.com/KuangshiAi/SciVisAgentBench)
This repository contains scientific data analysis and visualization datasets and tasks for benchmarking scientific visualization agents, as presented in the paper "SciVisAgentBench: A Benchmark for Evaluating Scientific Data Analysis and Visualization Agents".
## Sample Usage
You can download the benchmark tasks using the `huggingface_hub` CLI:
```bash
pip install huggingface_hub
hf download SciVisAgentBench/SciVisAgentBench-tasks \
--repo-type dataset \
--local-dir ~/SciVisAgentBench/SciVisAgentBench-tasks
```
## 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
© 2026 University of Notre Dame.
Released under the [License](./LICENSE). |