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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 rotate version 7
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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 image gets rotated cw/ccw/180 and transposed.
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The image sizes are between 1 and 4 pixels.
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Predict the number of rows in the output image.
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# Version 2
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image size: 1-5.
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# Version 3
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image size: 1-5.
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Added `flipx` and `flipy` transformations.
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# Version 4
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image size: 1-5.
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number of tests: 1-2. Previously there were always just 1 test.
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Added `flipa` and `flipb` transformations, that flips over the diagonal.
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# Version 5
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image size: 1-5.
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number of tests: 1-2.
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# Version 6
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image size: 1-13.
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# Version 7
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Earlier predictions added to some of the rows.
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