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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) shape 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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Detect `shape2x2` and `shape3x3_center`.
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The image sizes are between 1 and 30 pixels.
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# Version 2
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Detect `shape2x2` and `shape3x3_center` and `shape3x3_opposite`.
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The image sizes are between 1 and 30 pixels.
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# Version 3
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Focus on counting the unique number of colors. `corners` and `diamond4`.
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The image sizes are between 1 and 30 pixels.
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# Version 4
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Same weight to all transformations.
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The image sizes are between 1 and 30 pixels.
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# Version 5
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Added more ways of counting the unique number of colors. `all9`, `around_center` and `diamond5`.
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Same weight to all transformations.
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The image sizes are between 1 and 30 pixels.
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# Version 6
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Same weight to all transformations.
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The image sizes are between 1 and 30 pixels.
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# Version 7
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Same weight to all transformations.
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The image sizes are between 1 and 30 pixels.
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