Datasets view
The Datasets view allows you to edit and inspect the data that your project can use. In this view, you can:
Inspecting datasets
Information for each feature of your dataset is presented in columns. Each column displays the name of a feature, its shape, and the distribution of values. You can also see a preview of the values for the first examples.
Note that to speed up processing, the platform only analyzes a fraction of the examples contained in a dataset. This has two consequences:
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The information presented has a small degree of approximation.
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The shape and the encodings available for a feature are determined only from the analyzed examples.
Every example must have its features compatible with the shape and encoding indicated in the dataset’s version, or running your experiment will fail.
If your experiment fails because of incompatible examples, you can click the 
icon under the experiment’s name to get more information about the problematic examples.
Collaborating with your team
Colleagues can work with the same datasets as everything securely stored in the cloud.
Enabling the Data API
The Data API allows you to create datasets inside your project and to upload files directly from your applications, without going through the web interface.
To use it, you need to know the URL where to direct your API requests, and you need to create at least one active token.
The dialogue box that appears when you click the Data API button at the bottom of the page will show you the URL that you need, and allow you to manage tokens.
The tokens are used to authenticate requests made to the API, allowing your application to upload files to the project.
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Tokens are only shown when you create them, so copy and save them before closing the Data API dialogue
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You can create as many tokens as you need
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You can also delete them if you want to revoke them, for instance if you have shared them with other people but no longer want them to be able to use them