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 translate version 10
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 translated by plus/minus 1 pixel in up/down/left/right directions.

The image sizes are between 1 and 4 pixels.

# Version 2

Only translate plus/minus 1 up/down are enabled.

image width: 1-4, image height: 3-4.

My hypothesis is that it's easy with RLE data to translate up/down.

# Version 3

Only translate plus/minus 1 left/right are enabled.

image width: 3-4, image height: 1-4.

# Version 4

All transformations have same weight.

image size: 3-4.

# Version 5

Added diagonal translation by 1 pixel.

All transformations have same weight.

image size: 3-4.

# Version 6

All transformations have same weight.

image size: 3-5.

# Version 7

All transformations have same weight.

image size: 3-5.

number of test pairs: 1-2. Previous it was alway 1 test pair.

# Version 8

All transformations have same weight.

image size: 3-5.

number of test pairs: 1-2.

Added: Predict the number of rows in the output image.

# Version 9

Increased the translation distance from -1..+1, to -2..+2.

image size 1-8.

# Version 10

Increased the translation distance from -2..+2, to -3..+3.

image size 1-12.
