> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab-4/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/dataset/dataset-list-page/preview.md).

# Preview

{% hint style="success" %}
*Check out the given walk through to understand the Preview Data Set functionality.*
{% endhint %}

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FBLGYLEkBUnc8nVEBAuEI%2Fuploads%2FEAqQBd1tV1qdYVkea0IV%2FPreview%20Dataset%20(PySpark).mp4?alt=media&token=b8258987-d3ae-4ca2-bcbd-91ca95966d30>" %}
***Preview an added Data set***
{% endembed %}

* Navigate to the ***Dataset*** list inside a Project.
* Select a Dataset from the list.
* Click the ***Preview*** icon.

<figure><img src="/files/L3OLZzKuulkxVwmhYVdi" alt=""><figcaption><p><em><strong>Preview icon for a Dataset</strong></em></p></figcaption></figure>

* The ***Preview Data Sandbox/ Preview Dataset*** drawer appears displaying the Dataset details.​​

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> The Preview drawer will take its name based on the Dataset type.*&#x20;

*E.g., For Data Sandbox files the drawer will appear with **Preview Data Sandbox** heading. For Datasets the drawer will appear with the **Preview Dataset** heading.*
{% endhint %}

<figure><img src="/files/JUOUNwL3yGxXYK3LFCXQ" alt=""><figcaption><p><em><strong>Preview of the selected Data Set</strong></em></p></figcaption></figure>

{% hint style="info" %}
*<mark style="color:green;">Please Note:</mark> Refer the* [***Data Science Lab Quick Start***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) ***Flow** page to get an overview of the **Data Science Lab** module in nutshell.*&#x20;
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.bdb.ai/data-science-lab-4/project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/dataset/dataset-list-page/preview.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.
