README.md

---
license: apache-2.0
task_categories:
- text2text-generation
language:
- en
tags:
- code
- render
- CAD
- 3D
- Modeling
- LLM
- bpy
- Blender
pretty_name: BlendNet
size_categories:
- 10K<n<100K
---

# 📚 BlendNet

The dataset contains $12k$ samples. To balance cost savings with data quality and scale, we manually annotated $2k$ samples and used **GPT-4o** to annotate the remaining $10k$ samples.

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).