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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 scale version 9
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size_categories:
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- 1K<n<10K
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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 images gets scaled up/down in both x and y direction.
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example count: 2-4.
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test count: 1-2.
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image size: 3-10.
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scale factor: 1-3.
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# Version 2
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image size: 1-20.
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scale factor: 1-7.
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# Version 3
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image size: 1-30.
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scale factor: 1-7.
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# Version 4
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Added a few noise to the images.
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image size: 1-10.
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scale factor: 1-7.
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Only scale down.
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Number of noise pixels per pixel cell: 0-2.
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# Version 5
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More noisy images for down scaling.
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image size: 1-12.
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Number of noise pixels per pixel cell: 0-half.
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# Version 6
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Earlier predictions added to some of the rows.
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# Version 7
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Added fields: `arc_task`, `test_index`, `earlier_output`.
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# Version 8
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Replaced RLE compressed response with raw pixel response.
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image size: 1-5.
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scale factor: 1-7.
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# Version 9
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image size: 1-7.
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scale factor: 1-3.
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