MMSciBench

📑  Paper | 📊  MMSciBench

📌 Overview

MMSciBench focuses on mathematics and physics that evaluates scientific reasoning capabilities. This repository contains the code for the benchmark. The dataset is available on Hugging Face: MMSciBench Dataset.

📖 Paper

If you use this benchmark in your research, please cite our paper:

@article{ye2025mmscibench,
  title={MMSciBench: Benchmarking Language Models on Chinese Multimodal Scientific Problems},
  author={Ye, Xinwu and Li, Chengfan and Chen, Siming and Wei, Wei and Tang, Xiangru},
  journal={Findings of the Association for Computational Linguistics: ACL 2025},
  year={2025}
}

🛠 Installation

Clone the repository:

git clone https://github.com/xinwuye/MMSciBench-code.git
cd MMSciBench-code

📊 Benchmark Dataset

The dataset for MMSciBench is available on Hugging Face:

🔗 MMSciBench Dataset

🚀 Usage

Running Evaluation

To evaluate models on the benchmark, use the following command:

python exp.py
python exp_hf.py
python eval1.py

📈 Results

Once evaluation is complete, results will be saved.

📜 License

This project is licensed under the Apache-2.0 License.

🤝 Contributing

We welcome contributions! To contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch-name.
3. Commit your changes: git commit -m 'Add a new feature'.
4. Push to the branch: git push origin feature-branch-name.
5. Open a pull request.

🔗 Acknowledgments

We thank the open-source community and previous works that inspired this benchmark.

📬 Contact

For questions or collaborations, please open an issue.