---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) solve count version 7
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 count N number of pixels in the input, and in the output repeat a pattern N times.

example count: 3-4.

test count: 1-2.

input image size: 3-8.

output pattern image size: 1-3.

pixel count: 1-3.

I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.

# Version 2

input image size: 3-10.

pixel count: 1-4.

I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.

# Version 3

input image size: 3-12.

output pattern image size: 1-4.

pixel count: 1-5.

I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.

# Version 4

Fixed the `number_of_positions` code. So the input count and output count now should match.

input image size: 3-14.

output pattern image size: 1-5.

pixel count: 1-6.

# Version 5

Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.

input image size: 4-8.

input pattern image size: 2.

pixel count: 1-3.

# Version 6

Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.

input image size: 4-12.

input pattern image size: 2-3.

pixel count: 1-4.

# Version 7

Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.

input image size: 4-14.

input pattern image size: 2-4.

pixel count: 1-5.