Update README.md
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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 mass version 12
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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 identify the mass of objects with a specific size.
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example count: 2-4.
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test count: 1-2.
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image size: 4-6.
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find mass: 1-2.
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connectivity: ALL8.
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# Version 2
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image size: 3-10.
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# Version 3
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image size: 1-15.
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# Version 4
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image size: 1-15.
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find mass: 1-3.
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# Version 5
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image size: 1-8.
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find mass: 1-4.
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# Version 6
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Compare mass of adjacent rows/columns. image size: 4-7. color count: 10.
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This was something that the model struggles with. What if I use fewer colors and smaller images.
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# Version 7
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Compare mass of adjacent rows/columns. image size: 4-6. color count: 2,3,10.
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Still something that the model has difficulties with.
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# Version 8
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Disabled comparing columns. Disable too many colors.
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Focus is only on compare mass of adjacent rows. image size: 4-6. color count: 2.
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Yay, the model groks this.
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# Version 9
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Disabled comparing columns. Disable too many colors.
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Focus is only on compare mass of adjacent columns. image size: 4-6. color count: 2.
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This is hard for the model to make sense of.
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# Version 10
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Still focus is only on compare mass of adjacent columns. image size: 3-5. color count: 2.
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# Version 11
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Focus on adjacent rows/columns. image size: 3-8. color count: 2,3,10.
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# Version 12
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Bigger images. image size: 3-12.
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