README.md

metadata

license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) solve color version 4
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl

Version 1

ARC-AGI Tasks where the colors gets manipulated.

Currently it's two-color images, where the transformation is to swap colors.

The image sizes are between 1 and 5 pixels.

Predict the number of rows in the output image.

Version 2

Number of test: 1-2. Previously it was always 1 test.

Version 3

input image size: 1-3.

Number of tests: 1.

Identify most popular color, and least popular color. The output size is always 1x1.

Version 4

input image size: 1-4.

Number of tests: 1.

Identify most popular color, and least popular color. The output size is always 1x1.