# Create a dataset from a connector

## Create a dataset from a connector

You already configured a connector, that you want to use in order to retrieve your data. For that:

1. Click on the dataset creation button on from your configured connector

   <figure><img src="/files/ngdefGw6421qlKvb44u0" alt=""><figcaption></figcaption></figure>
2. Make the appropriate configuration in order to retrieve the data. Refer to your connector [documentation](/data-management-in-datahub/datasources-in-toucan/managing-connectors/setting-up-a-connector.md) in order to setup the configuration
3. Validate the configuration
4. Prepare your data thanks to our no-code transformation tool YouPrep™ (know more about YouPrep [here](/data-management-in-datahub/datasets-in-toucan/preparing-data/overview-of-youprep-tm.md))

   <figure><img src="/files/UVGpIh8ykwThBQyGK7Sm" alt=""><figcaption></figcaption></figure>
5. Save your new dataset by clicking on the button "Create" (at the bottom).
6. Give a name to the dataset (the name shouldn't be already used by another dataset), and select the storage type between storing it in Toucan, or having it as LIVE data.
7. Click on "Save" to save your dataset. If you store the dataset in Toucan, you also canto "Save and refresh" the dataset in order to make it available to use

{% hint style="info" %}
When making the configuration in order to retrieve the appropriate data, note that you can refer to variables (more on variables in this [page](/data-management-in-datahub/using-advanced-data-concepts/advanced-syntax-for-variables.md)) instead of giving a fixed value.
{% endhint %}


---

# 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-v3.toucantoco.com/data-management-in-datahub/datasources-in-toucan/managing-connectors/create-a-dataset-from-a-connector.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.