Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation

Understand

This work presents code to procedurally generate examples for the ARC training tasks.

• For each of the 400 tasks, an example generator following the transformation logic of the original examples was created.
• In effect, the assumed underlying distribution of examples for any given task was reverse engineered by implementing a means to sample from it.
• An attempt was made to cover an as large as reasonable space of possible examples for each task.