| license: apache-2.0 | |
| task_categories: | |
| - text2text-generation | |
| language: | |
| - en | |
| tags: | |
| - code | |
| - render | |
| - CAD | |
| - 3D | |
| - Modeling | |
| - LLM | |
| - bpy | |
| - Blender | |
| pretty_name: CADBench | |
| size_categories: | |
| - n<1K | |
| # 📚 CADBench | |
| **CADBench** is a comprehensive benchmark to evaluate the ability of LLMs to generate CAD scripts. It contains 500 simulated data samples and 200 data samples collected from online forums. | |
| For more details, please visit our [GitHub repository](https://github.com/FreedomIntelligence/BlenderLLM) or refer to our [arXiv paper](https://www.arxiv.org/abs/2412.14203). | |
| ## 📖 Citation | |
| ```angular2 | |
| @misc{du2024blenderllmtraininglargelanguage, | |
| title={BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement}, | |
| author={Yuhao Du and Shunian Chen and Wenbo Zan and Peizhao Li and Mingxuan Wang and Dingjie Song and Bo Li and Yan Hu and Benyou Wang}, | |
| year={2024}, | |
| eprint={2412.14203}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.HC}, | |
| url={https://arxiv.org/abs/2412.14203}, | |
| } | |
| ``` | |
| We are from the School of Data Science (SDS), the Chinese University of Hong Kong, Shenzhen (CUHKSZ). |