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---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve fractal 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 job is to transform fractal input/output images.
example count: 2-4.
test count: 1-2.
image size: 2-3.
# Version 2
Scale up the input/output images. Scale factor: 1-3.
# Version 3
Scale up the input/output images. Scale factor: 1-3.
Randomly invert the pattern_image.
# Version 4
Random add padding around the input image, that the model has to crop.
max_pad_count = 5.
# Version 5
Bigger images
max_image_size = 5
max_pad_count = 8
# Version 6
Migrating from fitting inside 512 context length to fitting inside 1024 context length. Removing tasks that are too long to fit inside the context length.
Bigger scale factor: 1-5.
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