task_categories:image-to-text task_categories:text-to-image language:en license:mit size_categories:100K<n<1M format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve bool 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 apply boolean operations between 2 images that are stacked.

example count: 2-4.

test count: 1-2.

image size: 3-5.

operations: same, and, or, xor.

# Version 2

operations: and, or, xor. Eliminated the `same`, since it's the same as `xor`.

Different palette for input_a and input_b.

# Version 3

image size: 2-7.

# Version 4

Earlier predictions added to some of the rows.
