The Abstraction and Reasoning Corpus (ARC) is a dataset created by François Chollet in 2019. It’s designed to measure the gap between machine and human learning. The dataset consists of 1000 image-based reasoning tasks. Each task provides an input image and asks for an output image. The goal is to solve these tasks using a system that can understand and learn abstract concepts, and apply reasoning skills to generate the correct output. This dataset poses a significant challenge for AI systems and is used to advance research in artificial intelligence and machine learning.