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Datasets:
neoneye
/
simon-arc-solve-grid-v4

Tasks:
Image-to-Text
Text-to-Image
Modalities:
Text
Formats:
json
Languages:
English
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
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metadata
license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) solve grid 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 job is to extract content from a grid.

example count: 2-4.

test count: 1-2.

image size: 2-4.

cell size: 1-5.

grid line size: 1.

Version 2

image size: 2-5.

cell size: 1-6.

grid line size: 1-2.

Version 3

Added generate_task_mutate_content_inside_grid, that does flipx, flipy, rotate 180, while preserving the grid.

Version 4

Extended generate_task_extract_content_from_grid so it does mutations of the output: flip x/y/a/b, rotate cw/ccw/180.