task_categories:image-to-text task_categories:text-to-image language:en license:mit size_categories:1K<n<10K 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 8
size_categories:
- 1K<n<10K
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.

# Version 5

Added fields: `arc_task`, `test_index`, `earlier_output`.

# Version 6

Replaced RLE compressed response with raw pixel response.

image size: 2-5.

# Version 7

image size: 2-9.

# Version 8

image size: 2-15.