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![image](https://raw.githubusercontent.com/bespokelabsai/curator/main/docs/Bespoke-Labs-Logomark-Red-crop.png)
# [Curator](https://github.com/bespokelabsai/curator)
Curator 是一个用于后训练大型语言模型 (LLMs) 和结构化数据提取的制作与管理可扩展的数据集的开源工具。
Curator 被用来制作 [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k)，这是一个用于训练完全开源的推理模型 [Bespoke-Stratos](https://www.bespokelabs.ai/blog/bespoke-stratos-the-unreasonable-effectiveness-of-reasoning-distillation) 的推理数据集。
### Curator 支持：
- 调用 Deepseek API 进行可扩展的合成数据管理
- 简便的结构化数据提取
- 缓存和自动恢复
- 数据集可视化
- 使用批处理模式节省费用
### 轻松使用 Curator 调用 Deepseek API：
![image](https://pbs.twimg.com/media/GiLHb-xasAAbs4m?format=jpg&name=4096x4096)
# 从这里开始
- [Colab 示例](https://colab.research.google.com/drive/1Z78ciwHIl_ytACzcrslNrZP2iwK05eIF?usp=sharing)
- [Github 仓库](https://github.com/bespokelabsai/curator)
- [文档](https://docs.bespokelabs.ai/)
- [Discord](https://discord.com/invite/KqpXvpzVBS)