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docs(README.md): add GraphGen for data preparation #1033

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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -276,6 +276,10 @@ For more examples, please see [chat.md](./docs/en/user_guides/chat.md).

- We recommend using [OpenCompass](https://github.com/InternLM/opencompass), a comprehensive and systematic LLM evaluation library, which currently supports 50+ datasets with about 300,000 questions.

### Data Preparation

- You can use [GraphGen](https://github.com/open-sciencelab/GraphGen) to create synthetic data for fine-tuning.

## 🤝 Contributing

We appreciate all contributions to XTuner. Please refer to [CONTRIBUTING.md](.github/CONTRIBUTING.md) for the contributing guideline.
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4 changes: 4 additions & 0 deletions README_zh-CN.md
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Expand Up @@ -277,6 +277,10 @@ xtuner chat internlm/internlm2-chat-7b --prompt-template internlm2_chat

- 推荐使用一站式平台 [OpenCompass](https://github.com/InternLM/opencompass) 来评测大语言模型，其目前已涵盖 50+ 数据集的约 30 万条题目。

### 数据

- 推荐使用 [GraphGen](https://github.com/open-sciencelab/GraphGen) 合成 SFT 所需训练数据，目前已在多个垂域验证效果。

## 🤝 贡献指南

我们感谢所有的贡献者为改进和提升 XTuner 所作出的努力。请参考[贡献指南](.github/CONTRIBUTING.md)来了解参与项目贡献的相关指引。
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