Datasets:

neoneye
/

simon-arc-shape-v5

license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) shape version 5
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl

Version 1

Detect shape2x2 and shape3x3_center. The image sizes are between 1 and 30 pixels.

Version 2

Detect shape2x2 and shape3x3_center and shape3x3_opposite. The image sizes are between 1 and 30 pixels.

Version 3

Focus on counting the unique number of colors. corners and diamond4. The image sizes are between 1 and 30 pixels.

Version 4

Same weight to all transformations. The image sizes are between 1 and 30 pixels.

Version 5

Added more ways of counting the unique number of colors. all9, around_center and diamond5. Same weight to all transformations. The image sizes are between 1 and 30 pixels.