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---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve color 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 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.
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