> ## Documentation Index > Fetch the complete documentation index at: https://docs.labellerr.com/llms.txt > Use this file to discover all available pages before exploring further. # Datasets > Learn about datasets in Labellerr - how to create, manage, and work with workspace-level datasets for your annotation projects. This guide is meant for users to understand the concept of a dataset, how to create a new dataset, how to make changes, types of datasets etc. The guide also covers in-depth details about linking new datasets, exporting data from existing datasets and overall management datasets. This guide covers dataset management in Labellerr: * **What are Datasets?** - Understanding data collection concepts * **Workspace Level Datasets** - Organization-wide data management * **Creating Datasets** - Step-by-step dataset creation process * **Dataset Types** - Supported file formats and data types * **Dataset Linking** - Connecting datasets to projects * **Dataset Management** - Editing, exporting, and maintaining datasets ## Datasets Datasets are an ordered collection of the data. On Labellerr, data is segregated based on file type and the supported data types in Labellerr are Image, Audio, Video, Text or Document. Dataset overview

## Workspace Level Datasets Datasets created at the workspace level are referred to as *Workspace-Level Datasets*. To create a Workspace-Level Dataset, the toggle buttons for "Enable Review Cycle" and "Client Review Cycle" must be enabled. These datasets are accessible to all users within the workspace and can be linked to any project in the workspace. ### Permission Level to Create Workspace Level Datasets Permission levels for datasets

## Create Workspace Level Datasets Redirect to the Workspace Level Datasets page in your workspace by clicking 'Datasets' options. After that, you would be redirected to the following page. Alternatively, the Dataset page can be accessed through your dashboard by clicking on the settings options from the taskbar> Selecting 'Datasets' option on the left. Click the Button "**Create New dataset**" Create new dataset button

Select the type of Data you have and click on **next.** Select data type for dataset

Select the Source from where you want to upload data-files. Upload sources selection

### 1. Google Drive Click on 'Google Drive' from the sources list, then click 'Create New Collection', authorize using your email ID, and select the data from Google Drive that you want to import. Enter any name in 'Connection Name' and Connection Description(Optional). Click 'Create Connection'. Google Drive connection setup

### 2. Google Cloud Storage Click 'Google Cloud storage' from the sources list. Here are the [details](https://drive.google.com/file/d/1VETRHSDf7m3nV_KAe6Rc4ObxR4Z6lCYm/view?usp=sharing) to connect data with GCS. OR You can follow the steps outlined in the attached PDF to attach data from GCS. ### 3. Amazon S3 Click 'Amazon s3' from the sources list. Here are the [details](https://drive.google.com/file/d/1eeZ9Hab4Fb6r89LE6hpSH1mn78UKh-If/view?usp=sharing) to connect data with it. OR You can follow the steps outlined in the attached PDF to attach data from s3 connection. ### 4. Upload from Local Upload the files and name the dataset, provide a description and click "**Create Dataset**". Local upload interface

For more on how to create projects and new datasets check out the [Create A New Project Page](/getting-started/create-project). ## Managing Datasets Datasets can be edited such that new files can be added, old ones deleted, or existing datasets from other projects can also be attached. To manage or make changes to your dataset, through your dashboard, click on the settings options from the taskbar> Selecting Dataset option>Click on the view all dataset>Click on the 3 dots Dataset management options

For further assistance contact **[support@tensormatics.com](mailto:support@tensormatics.com)**