initial commit.

README.md

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 ---
 license: mit
+language:
+  - en
+tags:
+  - multi-agent
+  - multimodal
+  - strategic reasoning
 ---
+
+## Dataset Description
+
+- **Homepage:** https://vs-bench.github.io
+- **Repository:** https://github.com/zelaix/VS-Bench
+- **Paper:** coming soon
+- **Contact:** [Zelai Xu](mailto:[email protected])
+
+
+### Dataset Summary
+
+VS-Bench is a multimodal benchmark for evaluating VLMs in multi-agent environments. We evaluate fourteen state-of-the-art models in eight vision-grounded environments with two complementary dimensions, including offline evaluation of strategic reasoning by next-action prediction accuracy and online evaluation of decision-making by normalized episode return.
+
+
+### Citation Information
+```
+@article{xu2025vs,
+  title={VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments},
+  author={Xu, Zelai and Xu, Zhexuan and Yi, Xiangmin and Yuan, Huining and Chen, Xinlei and Wu, Yi and Yu, Chao and Wang, Yu},
+  journal={coming soon},
+  year={2025}
+}
+```

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