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 mask version 5
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl
---

# Version 1

ARC-AGI Tasks where the job is to repair the masked areas/rectangles.

example count: 2-4.

test count: 1-2.

image size: 4-7.

noise: 0.1, 0.2.

There are these transformations: `identify_the_masked_area`, `repair_the_masked_area`

# Version 2

image size: 4-10.

# Version 3

image size: 4-13.

# Version 4

Still having all the other transformations enabled.

Added `generate_task_repair_rectangle_and_crop`.

input image size: 4-8.

mask size: 2-3.

# Version 5

Bigger images.

`generate_task_repair_rectangle_and_crop`: image size: 4-10. crop size: 2-4.

`generate_task_linepatterns_with_masked_areas`: image size: 4-15.
