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Step 6: Using Activeloop Storage

Storing and loading datasets from Activeloop Platform Storage.

How to Use Activeloop-Provided Storage

Register

You can store your Deep Lake Datasets with Activeloop by first creating an account in Activeloop Platform or in the CLI using:
activeloop register

Login

In order for the Python API to authenticate with your account, you should log in from the CLI using:
activeloop login
# Alternatively, you can directly input your username and password in the same line:
# activeloop login -u my_username -p my_password
You can then access or create Deep Lake Datasets by passing the Activeloop Platform path to deeplake.dataset()
import deeplake
platform_path = 'hub://organization_name/dataset_name'
#'hub://jane_smith/my_awesome_dataset'
ds = deeplake.dataset(platform_path)
When you create an account in Activeloop Platform, a default organization is created that has the same name as your username. You can also create other organizations that represent companies, teams, or other collections of multiple users.
Public datasets such as 'hub://activeloop/mnist-train' can be accessed without logging in.

Tokens

Once you have an Activeloop account, you can create tokens in Activeloop Platform (Organization Details -> API Tokens) and pass them to python commands that require authentication using:
ds = deeplake.load(platform_path, token = 'xyz')