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 color version 11
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl
---

# Version 1

ARC-AGI Tasks where the colors gets manipulated.

Currently it's two-color images, where the transformation is to swap colors.

The image sizes are between 1 and 5 pixels.

Predict the number of rows in the output image.

# Version 2

Number of test: 1-2. Previously it was always 1 test.

# Version 3

input image size: 1-3.

Number of tests: 1.

Identify most popular color, and least popular color. The output size is always 1x1.

# Version 4

input image size: 1-4.

Number of tests: 1.

Identify most popular color, and least popular color. The output size is always 1x1.

# Version 5

input image size: 1-5.

Number of tests: 1-2.

Identify most popular color, and least popular color. The output size is always 1x1.

# Version 6

input image size: 1-5.

Number of tests: 1-2.

Identify most popular color, and least popular color. Multiple output sizes: output size is 1x1, and same output size as input size.

Swap colors.

# Version 7

Focus on `generate_task_replace_color`.

image size: 3-6.

padding size: 1-5.

# Version 8

Focus on `generate_task_replace_color`.

image size: 3-8.

padding size: 1-10.

# Version 9

Focus on `generate_task_replace_color`.

image size: 3-10.

padding size: 1-20.

# Version 10

Enabled all the task generators.

# Version 11

Focus on `generate_task_replace_color_pairs_with_different_palettes`.

image size: 3-5.

padding size: 1-4.
