Datasets:
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metadata
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
๐ 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 or refer to our arXiv paper.
๐ Citation
@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).