Datasets:
license: mit
pretty_name: ARC bad predictions
task_categories:
- image-to-image
size_categories:
- 1K<n<10K
language:
- en
ARC Bad Predictions
Hypothesis: Is a stepwise refinement algorithm possible, that can improve on an earlier prediction?
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 bad predictions are are misleading.
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.