README.md

metadata

license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) solve rotate version 8
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl

Version 1

ARC-AGI Tasks where the image gets rotated cw/ccw/180 and transposed.

The image sizes are between 1 and 4 pixels.

Predict the number of rows in the output image.

Version 2

image size: 1-5.

Version 3

image size: 1-5.

Added flipx and flipy transformations.

Version 4

image size: 1-5.

number of tests: 1-2. Previously there were always just 1 test.

Added flipa and flipb transformations, that flips over the diagonal.

Version 5

image size: 1-5.

number of tests: 1-2.

Version 6

image size: 1-13.

Version 7

Earlier predictions added to some of the rows.

Version 8

Earlier predictions with focus on repair 1 bad pixel.