metadata

license: mit
task_categories:
  - image-to-text
  - text-to-image
language:
  - en
pretty_name: simons ARC (abstraction & reasoning corpus) object mass version 9
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data.jsonl

Version 1

Measure the mass of objects for pixel connectivity 4 and pixel connectivity 8.

image size: 1-10.

max_mass: 4.

Version 2

image size: 1-20.

max_mass: 5.

This converged too slowly. I was too optimistic. I will have to proceed slower.

Version 3

image size: 1-12.

max_mass: 5.

Too big spikes in the training loss. I will have to lower the max_mass, and gradually increase it.

Version 4

image size: 1-15.

max_mass: 2.

The validation loss for this is fine. I'm increasing the max_mass.

Version 5

image size: 1-20.

max_mass: 3.

Version 6

image size: 1-25.

max_mass: 4.

Version 7

image size: 1-30.

max_mass: 2.

Version 8

image size: 1-30.

max_mass: 7.

Version 9

image size: 1-30.

max_mass: 8.