Datasets:
license: mit
pretty_name: ARC bad predictions
task_categories:
- image-to-image
size_categories:
- 1K<n<10K
language:
- en
ARC Bad Predictions
Visualization of bad predictions: ARC-AGI training, ARC-AGI evaluation.
My goal during the ARC-AGI contests has been to make a stepwise refinement algorithm, that can improve on earlier predictions.
This repo is intended for stepwise refinement algorithms. This dataset contains incorrect predictions that are somewhat close to the target.
I have manually inspected these predictions and removed the worst predictions. However there may still be more bad predictions.
A bad prediction, can be a hint towards solving the puzzle.
A bad prediction, can also be misleading.
The color values 0-9 are the same as the ARC-AGI colors. Color values outside this range sometimes occur, when a solver failed to predict that pixel.
The dataset and task correspond to a file found in the arc-dataset-collection repo.
A few puzzles have multiple versions, these are suffixed with _v2 and _v3.