# Dataset Management

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Confirm, filter, revise, and optimize generated datasets to ensure the final export meets requirements for high-quality datasets.
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### Dataset List

View all generated datasets, including original questions, creation time, models used, domain tags, whether they contain chain of thought (COT), and answer summaries:

<figure><img src="/files/71K5dFzfeFkn1jV9VqDF" alt=""><figcaption></figcaption></figure>

### Dataset Details

Click on a single dataset to view its details, including question, answer, chain of thought, model used, domain tags, creation time, and text block:

<figure><img src="/files/yTO1S5yk1BIcXB3kD0zp" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/M1NDKAv2ytTTj4e3tdBX" alt=""><figcaption></figcaption></figure>

Click on the text block name to view the original text block details, making it convenient to compare the original content with the answer:

<figure><img src="/files/U7SaY3DcWqFRBei5czbp" alt=""><figcaption></figcaption></figure>

### Dataset Revision

If you are not satisfied with the generated answer or chain of thought, you can click the edit button to modify manually:

<figure><img src="/files/z79mvfWn4oA939w2oKRm" alt=""><figcaption></figcaption></figure>

<figure><img src="/files/tZFM5c3Fv2D6wLfhl49g" alt=""><figcaption></figcaption></figure>

Click the magic wand icon to provide optimization suggestions to AI and optimize based on AI:

<figure><img src="/files/1FSUEZ0nNb88QAfSJJaj" alt=""><figcaption></figcaption></figure>

### Dataset Confirmation

If you confirm that the dataset has no issues, you can click to confirm and keep it:

<figure><img src="/files/TCckJG3tVbvinyfBGNuu" alt=""><figcaption></figcaption></figure>

Confirmed datasets will be labeled:

<figure><img src="/files/9e8aRQSUHAcis7nfHzTW" alt=""><figcaption></figcaption></figure>

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Note: Confirming datasets is not a mandatory operation. It is only used for the platform to record confirmed status and does not affect subsequent export (**unconfirmed datasets can also be exported**).
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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/ed/en/datasets/dataset-management.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.
