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README.md
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---
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license: mit
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---
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license: mit
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task_categories:
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- image-to-text
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- text-to-image
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language:
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- en
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pretty_name: simons ARC (abstraction & reasoning corpus) solve color version 5
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size_categories:
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- 10K<n<100K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data.jsonl
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---
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# Version 1
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ARC-AGI Tasks where the colors gets manipulated.
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Currently it's two-color images, where the transformation is to swap colors.
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The image sizes are between 1 and 5 pixels.
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Predict the number of rows in the output image.
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# Version 2
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Number of test: 1-2. Previously it was always 1 test.
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# Version 3
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input image size: 1-3.
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Number of tests: 1.
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Identify most popular color, and least popular color. The output size is always 1x1.
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# Version 4
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input image size: 1-4.
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Number of tests: 1.
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Identify most popular color, and least popular color. The output size is always 1x1.
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# Version 5
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input image size: 1-5.
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Number of tests: 1-2.
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Identify most popular color, and least popular color. The output size is always 1x1.
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