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 halfplane version 4
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 identify the halfplane: `halfplane_with_two_pixels`, `halfplane_with_one_pixel_DIRECTION`.

example count: 3-4.

test count: 1-2.

image size: 5-8.

# Version 2

image size: 5-12.

# Version 3

Earlier predictions added to some of the rows.

# Version 4

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