update readme

README.md

@@ -9,19 +9,13 @@ task_categories:
 
 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.
 
-## Download Volume Datasets
-`download_and_organize.py` downloads and organizes datasets under 512MB. Make sure you run the following script before you evaluate your agents through [SciVisAgentBench](https://github.com/KuangshiAi/SciVisAgentBench):
-```shell
-python download_and_organize.py
-```
-
 ## 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-MCP and ChatVis are organized into the `main`, the `sci_volume_data`, and the `chatvis_bench` folders, while `napari_mcp_evals` holds tasks and datasets for bioimage-agent. The `chatvis_bench` folder contains 20 test cases from the official [ChatVis](https://github.com/tpeterka/ChatVis) benchmark.
+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:
@@ -56,6 +50,7 @@ SciVisAgentBench was mainly created by Kuangshi Ai (kai@nd.edu), Shusen Liu (liu
 - [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