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 scale version 6
size_categories:
- 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl
---

# Version 1

ARC-AGI Tasks where the images gets scaled up/down in both x and y direction.

example count: 2-4.

test count: 1-2.

image size: 3-10.

scale factor: 1-3.

# Version 2

image size: 1-20.

scale factor: 1-7.

# Version 3

image size: 1-30.

scale factor: 1-7.

# Version 4

Added a few noise to the images.

image size: 1-10.

scale factor: 1-7.

Only scale down.

Number of noise pixels per pixel cell: 0-2.

# Version 5

More noisy images for down scaling.

image size: 1-12.

Number of noise pixels per pixel cell: 0-half.

# Version 6

Earlier predictions added to some of the rows.
