Data and code from HMLL

Omniglot Data Set

The Omniglot dataset contains over 1600 handwritten characters from 50 different alphabets. It’s used for studying one-shot learning and for developing more human-like learning algorithms.

GitHub link

SCAN Data Set

SCAN is a set of simple language-driven navigation tasks for studying compositional learning and zero-shot generalization.

GitHub link