> 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/repo-sync-project/tabs-for-a-data-science-lab-project/tabs-for-pyspark-environment/notebook/notebook-page/operations-for-an-.ipynb-file/datasets.md). # Datasets Now the Notebook page facilitates the user to add the datasets. {% hint style="success" %} *Check out the given walk-through on how to add a dataset using the .ipynb file.* {% endhint %} {% embed url="" %} ***Adding a Dataset to a .ipynb file*** {% endembed %} {% embed url="" %} ***Uploading a Datastore file, Adding it to a .ipynb file*** {% endembed %} {% hint style="info" %} *Please Note: The Datasets even if added from a .ipynb infrastructure, they get added at the project level, so the added Datasets are available for all the files under the the same project.* {% endhint %} ## Adding Datasets * Navigate to the Notebook page. * Click the ***Datasets*** tab.
* Click on the ***Add Dataset*** option.
* The ***Add Datasets*** page appears. * Select ***Data Sets*** or ***Data Sandbox*** option from the Data Source drop-down menu. * Search for a Data Set using the search bar. * Select dataset(s) as per the requirement using the check box. The user can select multiple datasets/ data sandbox. * Click the ***Add*** option. {% hint style="info" %} *Please Note: The Add option gets displayed only after you select at least one dataset.* {% endhint %}

The Add Datasets page

* A notification message appears. * The selected Dataset(s) get added to the given ***Datasets*** tab.
* Click on the ***More*** icon for an added Dataset. * The drop-down menu appears displaying the ***Preview*** and ***Data Preparation*** actions for the added dataset appears.
## Uploading Datasets (Data Sandbox) {% hint style="info" %} *Please Note: The **Upload** option is provided for the Sandbox files inside the Data Science Notebook.* {% endhint %} * Navigate to the ***Add Datasets*** panel from a Data Science Notebook. * Select the ***Data Sandbox*** option as Data Source. * 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 from the system.
* Select a file from the system and upload. * Once the selected file name appears next to the Choose 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.
* Select the File using the checkbox. * Click the ***Add*** option.
* A notification message appears. * The uploaded Data Sandbox dataset gets added to the Notebook.
## ​Reading Datasets {% hint style="info" %} *Please Note: Using **get\_data** function datasets and data sandbox files (csv & xlsx files) can be read.* {% endhint %} * Add a new Code cell to Notebook or access an empty Code cell. * Select a dataset from the Datasets tab. * The ***get\_data*** function appears in the code cell.
* Select the df from the get\_data function of the dataset. * Add a code cell below. * Provide the df to display the data from the selected Dataset using the show function. * Run all the cells.
* The Data preview appears below. It will display 20 rows by default.
* The user can insert the number of rows to get the preview of the data up to that limit.
{% hint style="info" %} *Please Note:* * The Text files added as Datasets to a Notebook will be disabled for the data load function. Only Copy Path option will be provided for such datasets. * *Refer the* [***Data Science Lab Quick Start Flow***](https://docs.bdb.ai/data-science-lab-4/data-science-lab-quick-start-flow) *page to get an overview of the **Data Science Lab** module in nutshell.* {% endhint %}