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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 count 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 job is to count N number of pixels in the input, and in the output repeat a pattern N times.
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example count: 3-4.
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test count: 1-2.
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input image size: 3-8.
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output pattern image size: 1-3.
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pixel count: 1-3.
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I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.
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# Version 2
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input image size: 3-10.
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pixel count: 1-4.
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I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.
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# Version 3
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input image size: 3-12.
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output pattern image size: 1-4.
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pixel count: 1-5.
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I had a serious mistake in `number_of_positions` where I didn't deal with clashing xy coordinates, causing the pixel count to not match with the pattern count in the output.
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# Version 4
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Fixed the `number_of_positions` code. So the input count and output count now should match.
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input image size: 3-14.
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output pattern image size: 1-5.
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pixel count: 1-6.
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# Version 5
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Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.
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input image size: 4-8.
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input pattern image size: 2.
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pixel count: 1-3.
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# Version 6
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Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.
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input image size: 4-12.
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input pattern image size: 2-3.
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pixel count: 1-4.
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# Version 7
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Focus only on `generate_task_count_pixels_and_repeat_input_pattern`.
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input image size: 4-14.
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input pattern image size: 2-4.
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pixel count: 1-5.
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# Version 8
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Added fields: `arc_task`, `test_index`, `earlier_output`.
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# Version 9
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Replaced RLE compressed response with raw pixel response.
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