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---
license: mit
task_categories:
- image-to-text
- text-to-image
language:
- en
pretty_name: simons ARC (abstraction & reasoning corpus) shape version 7
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data.jsonl
---
# Version 1
Detect `shape2x2` and `shape3x3_center`.
The image sizes are between 1 and 30 pixels.
# Version 2
Detect `shape2x2` and `shape3x3_center` and `shape3x3_opposite`.
The image sizes are between 1 and 30 pixels.
# Version 3
Focus on counting the unique number of colors. `corners` and `diamond4`.
The image sizes are between 1 and 30 pixels.
# Version 4
Same weight to all transformations.
The image sizes are between 1 and 30 pixels.
# Version 5
Added more ways of counting the unique number of colors. `all9`, `around_center` and `diamond5`.
Same weight to all transformations.
The image sizes are between 1 and 30 pixels.
# Version 6
Same weight to all transformations.
The image sizes are between 1 and 30 pixels.
# Version 7
Same weight to all transformations.
The image sizes are between 1 and 30 pixels.
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