---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve rotate version 8
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl
---

# Version 1

ARC-AGI Tasks where the image gets rotated cw/ccw/180 and transposed.

The image sizes are between 1 and 4 pixels.

Predict the number of rows in the output image.

# Version 2

image size: 1-5.

# Version 3

image size: 1-5.

Added `flipx` and `flipy` transformations.

# Version 4

image size: 1-5.

number of tests: 1-2. Previously there were always just 1 test.

Added `flipa` and `flipb` transformations, that flips over the diagonal.

# Version 5

image size: 1-5.

number of tests: 1-2.

# Version 6

image size: 1-13.

# Version 7

Earlier predictions added to some of the rows.

# Version 8

Earlier predictions with focus on repair 1 bad pixel.