# 数据集导出

{% hint style="info" %}
数据集确认完成后，可回到列表，点击导出数据集，支持导出到本地、一键生成 LLaMA Factory 配置、一键上传 Hugging Face 三种方式。
{% endhint %}

<figure><img src="/files/sH8vKk0IBkCOr8A38YLY" alt=""><figcaption></figcaption></figure>

### 导出到本地

* 选择文件格式：支持 JSON、JSONL、Excel  三种格式
* 选择数据集风格：固定风格支持 Alpaca、ShareGPT&#x20;

<figure><img src="/files/B5hAkfA3gvqJYoVpPDcV" alt=""><figcaption></figcaption></figure>

* 支持自定义风格，可以配置问题、回答、思维链对应的字段格式以及是否包含领域标签：

<figure><img src="/files/fonxl0mgQRvGIzR2d8pz" alt=""><figcaption></figcaption></figure>

### 在 LLaMA Factory 中使用

<figure><img src="/files/glgTC1ipFobwmORlLiot" alt=""><figcaption></figcaption></figure>

生成后，点击一键复制配置文件路径：

<figure><img src="/files/gtePAIwSnGizkMbFkvOj" alt=""><figcaption></figcaption></figure>

然后将路径粘贴至 LLaMA Factory：

<figure><img src="/files/foMvzYhhFq9Z6Q5cMeZM" alt=""><figcaption></figcaption></figure>

点击预览数据集，能够加载到数据集，说明配置成功：<br>

<figure><img src="/files/oyHGNrXRuJGHEY2DKgJQ" alt=""><figcaption></figcaption></figure>

### 上传至 HuggingFace

{% hint style="info" %}
即将支持...
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.easy-dataset.com/shu-ju-ji/shu-ju-ji-dao-chu.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
