task_categories:image-to-text task_categories:text-to-image language:en license:mit size_categories:1K<n<10K 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 12
size_categories:
- 1K<n<10K
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.

# Version 10

Enabled all transformations.

Earlier predictions added to some of the rows.

# Version 11

Smaller images.

# Version 12

Added fields: `arc_task`, `test_index`, `earlier_output`.