metadata
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve augment version 3
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
Version 1
Augmentation of the ARC-AGI tasks.
example count: 1-3.
test count: 1.
Version 2
Only skew up/down/left/right
Version 3
Instead of making tasks out of input/output images.
I'm now focusing on preserving the original puzzle, with some transformations applied.