Hugging Face's logo

Datasets:
neoneye
/
simon-cellular-automaton-v6

Tasks:
Image-to-Text
Text-to-Image
Modalities:
Text
Formats:
json
Languages:
English
Size:
100K - 1M
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
simon-cellular-automaton-v6 / README.md
neoneye's picture
neoneye
Update README.md
bbd77b1 verified
preview code
|
raw
history blame contribute delete
No virus
1.09 kB
metadata
license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) cellular automaton version 6
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl

Version 1

The images are run length encoded (RLE).

The image sizes are between 4 and 10 pixels.

Cellular automaton types:

  • gameoflife
  • highlife
  • serviettes
  • cave
  • maze

Number of CA steps, range 1-2.

The LLM was not happy about this dataset.

Version 2

The image sizes are between 4 and 11 pixels.

Number of CA steps = 1.

Version 3

Disabled nowrap. It's only CAs that wraps around.

The image sizes are between 4 and 11 pixels.

Number of CA steps = 1.

Version 4

Only exercising GameOfLife with wrap. All the other CAs have been disabled. image size 4-13. Number of CA steps = 1.

Version 5

Same weight for all transformations. image size 5-10. Number of CA steps = 1.

Version 6

Same weight for all transformations. image size 6-12. Number of CA steps = 1.