README.md

metadata

license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) solve span 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 job is to transform images that have intersection patterns between row/column spans.

example count: 2-3.

test count: 1-2.

image size: 3-8.

span count: 3-5.

Version 2

image size: 3-10.

span count: 3-6.

Version 3

image size: 3-12.

span count: 3-7.

Version 4

Focus only on generate_task_with_template_lines.

image size: 4-8.

span count: 4-5.