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README.md

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 pretty_name: olympiadbench
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 - 10M<n<100M
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+---
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+# OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems
+
+[**📖 arXiv**](https://arxiv.org/abs/2402.14008) | [**GitHub**](https://github.com/OpenBMB/OlympiadBench)
+
+
+## Dataset Description
+
+**OlympiadBench** is an Olympiad-level bilingual multimodal scientific benchmark, featuring 8,476 problems from Olympiad-level mathematics and physics competitions, including the Chinese college entrance exam. Each problem is detailed with expert-level annotations for step-by-step reasoning. Notably, the best-performing model, GPT-4V, attains an average score of 17.97% on OlympiadBench, with a mere 10.74% in physics, highlighting the benchmark rigor and the intricacy of physical reasoning.
+
+More details are at our [GitHub](https://github.com/OpenBMB/OlympiadBench).
+
+
+## Contact
+- Chaoqun He: [email protected]
+
+## Citation
+
+If you do find our code helpful or use our benchmark dataset, please citing our paper.
+
+**BibTeX:**
+```bibtex
+@article{he2024olympiadbench,
+  title={Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems},
+  author={He, Chaoqun and Luo, Renjie and Bai, Yuzhuo and Hu, Shengding and Thai, Zhen Leng and Shen, Junhao and Hu, Jinyi and Han, Xu and Huang, Yujie and Zhang, Yuxiang and others},
+  journal={arXiv preprint arXiv:2402.14008},
+  year={2024}
+}
+```