Squirrel Datasets Documentation

Squirrel Datasets is an extension of the Squirrel platform for data transform, access, and discovery. It includes common drivers for public datasets, which are ready to use along with data preprocessing logic.

What Next?

• A good way to get started is with our Tutorials.

• A great feature of squirrel-datasets-core is that you can easily load data from common databases such as Huggingface, Activeloop Hub and Torchvision with one line of code. And you get to enjoy all of Squirrel’s benefits for free! Check out the documentation on how to interface with these libraries.

• Visit the official Squirrel Documentation on more information how to use Squirrel.

• Find out more about Merantix Momentum on our Website.

Dataset Cards

• Adult
• AllenAI C4
• AutoML
• Berkeley Deep Drive Semantic Segmentation (BDD100K)
• California Housing
• CamVid
• CC100
• Conceptual Captions
• Datascience Bowl 2018
• GNN BVP Solver
• Imagenet
• Kaggle Casting Quality
• Monthly German Tweets

Integration

• Huggingface, Deeplake, Hub, Torchvision

Contribute

• Code of Conduct
• Add a Dataset
• Contribute
• API Reference