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metadata
license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) solve cross 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 identify how 2 lines are intersecting, what line is the top-most, bottom-most.

example count: 3-4.

test count: 1-2.

image size: 3-6.

Version 2

image size: 3-10.

Verison 3

image size: 3-15.

Added new task type: Identify from an intersection point, what are the lines that goes through the intersection point.

Version 4

Earlier predictions added to some of the rows.