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 gravity version 11
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 apply gravity in the directions up/down/left/right.

example count: 2-4.

test count: 1-2.

image size: 3-10.

number of pixels to apply gravity to: 2-5.

Exercises `image_gravity_move()`.

# Version 2

Exercises `image_gravity_draw()`.

# Version 3

Exercises `image_gravity_move()` and `image_gravity_draw()`.

Increased `max_number_of_positions` from 5 to 8.

# Version 4

image size: 3-30.

max number of positions: 5.

# Version 5

image size: 3-30.

max number of positions: 7.

# Version 6

Added diagonal movement with `image_gravity_move()`.

image size: 3-10.

max number of positions: 7.

# Version 7

Focus on diagonal movement with `image_gravity_move()`.

image size: 3-20.

max number of positions: 5.

# Version 8

Focus on diagonal movement with `image_gravity_move()`.

image size: 3-30.

max number of positions: 5.

# Version 9

Exercises `image_gravity_move()` and `image_gravity_draw()`.

image size: 3-30.

max number of positions: 7.

# Version 10

Focus on diagonal movement with `image_gravity_draw()`.

image size: 3-10.

max number of positions: 5.

# Version 11

Focus on diagonal movement with `image_gravity_draw()`.

image size: 3-20.

max number of positions: 5.
