task_categories:image-to-text task_categories:text-to-image language:en license:mit size_categories:100K<n<1M format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve span version 8
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.

