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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 mask 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 job is to repair the masked areas/rectangles.
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example count: 2-4.
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test count: 1-2.
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image size: 4-7.
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noise: 0.1, 0.2.
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There are these transformations: `identify_the_masked_area`, `repair_the_masked_area`
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# Version 2
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image size: 4-10.
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# Version 3
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image size: 4-13.
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# Version 4
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Still having all the other transformations enabled.
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Added `generate_task_repair_rectangle_and_crop`.
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input image size: 4-8.
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mask size: 2-3.
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# Version 5
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Bigger images.
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`generate_task_repair_rectangle_and_crop`: image size: 4-10. crop size: 2-4.
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`generate_task_linepatterns_with_masked_areas`: image size: 4-15.
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