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---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve span version 9
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 images that have intersection patterns between row/column spans.
example count: 2-3.
test count: 1-2.
image size: 3-8.
span count: 3-5.
# Version 2
image size: 3-10.
span count: 3-6.
# Version 3
image size: 3-12.
span count: 3-7.
# Version 4
Focus only on `generate_task_with_template_lines`.
image size: 4-8.
span count: 4-5.
# Version 5
Focus only on `generate_task_with_template_lines`.
image size: 4-10.
span count: 4-6.
# Version 6
Enabled both `generate_task_with_intersecting_spans` and `generate_task_with_template_lines`.
image size: 3-12.
span count: 3-7.
# Version 7
Focus only on `generate_task_with_alternate`.
image size: 5-8.
span count: 5-7.
# Version 8
Focus only on `generate_task_with_alternate`.
image size: 5-10.
span count: 5-7.
# Version 9
Focus only on `generate_task_with_alternate`.
image size: 5-12.
span count: 5-7.