> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-science-lab/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/~/changes/lSgdXe3Do34tLrgwmc0c/project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/notebook/notebook-page/notebook-operations/datasets.md). # Datasets The Notebook page facilitates the user to select from the available the datasets. The user can add, upload, and read the Datasets using this tab. {% hint style="info" %} *Check out the given walk-through on how to add a dataset using the Notebook page,* {% endhint %}

Reading a Data sandbox file using Copy Path

## Adding a Dataset This section helps to understand the steps to add a new dataset inside a Notebook using the Datasets tab provided on the Notebook page. * Navigate to the Notebook page. * Click on the ***Datasets*** tab. * It lists the available Datasets (It may not list any dataset, if it is a newly created Notebook).

* Click the ***Add*** icon provided for the Datasets.

* The ***Add Datasets*** page opens listing the available Datasets below.

* Select a Dataset by using the checkbox provided next to it. * Click the ***Add*** option.

* A confirmation message appears. * The selected Dataset(s) gets added to the Notebook and can be seen in the Datasets list.

{% hint style="info" %} *Please Note:* * *The user can select multiple datasets using the checkboxes provided next to the datasets.* * *The Add option appears only after the user selects at least one dataset from the list.* {% endhint %} ## Uploading Datasets The **Upload** option is provided for the Sandbox files inside the Data Science Notebook. * Navigate to the ***Add Datasets*** panel from a Data Science Notebook. * Click the ***Upload*** option.

* The Upload Data Sandbox window appears. * Provide a Sandbox Name. * Provide Description (it is optional). * Use the Choose File option to select a file. * Click the Save option to upload the selected file.

* A notification message appears to inform completion of the action. * The uploaded file lists below with a checkbox to select it.

## Reading Datasets * Datasets can be read in two methods as: * Using get\_data function datasets and data sandbox files (csv & xlsx files) can be read. * Using Copy Path functionality data sandbox files (xls, txt, png, json, jpg, jpeg, mp4 files) can be read.