Unofficial ARC-AGI problem set

This section is about unofficial ARC-AGI-like problem sets.

These are interesting from both a:

practical point of view, as they provide more training data for potential solvers. If you believe that they are representative that is of course.
theoretical point of view, as they might help to highlight missing or excessive presumptions of the official datasets

github.com/neoneye/arc-dataset-collection contains a fantastic collection of such datasets, with visualization at: neoneye.github.io/arc/

Table of contents
- ARC-AGI problem generator Unofficial ARC-AGI problem set
  - re-arc ARC-AGI problem generator
  - arc-like ARC-AGI problem generator

ARC-AGI problem generator

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re-arc

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github.com/michaelhodel/re-arc

By the author of ARC-DSL.

README says:

This repository presents code to procedurally generate examples for the ARC training tasks. For each of the 400 tasks, an example generator is provided.

arxiv.org/html/2404.07353v1 says:

Each generator is a standalone Python function merely making use of the DSL and functions from the random module from the standard library. The median generator consists of 40 lines of code and uses 22 DSL primitive calls and 10 calls to the random module.

Cool!

Original: