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@@ -66,26 +66,16 @@ Rather than training one model, we trained multiple models, each on a different
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  # Results
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  Accuracy is normalized by length and shown as a percentage.
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- | Dataset | ARC-Easy | ARC-Challenge | HellaSwag | PIQA | BLiMP | **Avg ↑** | **II ↑** |
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- | :---------------- | ---------: | ------------: | ---------: | ---------: | ---------: | ---------: | ---------: |
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- | FineWeb | 27.82% | 22.01% | 26.89% | 52.83% | 65.21% | **38.95%** | **38.46%** |
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- | DCLM-1.0-Baseline | 29.08% | 22.41% | 27.06% | 52.23% | 66.16% | **39.39%** | **38.85%** |
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- | DOAB | 31.14% | 20.99% | 28.00% | 52.18% | 62.15% | **38.89%** | **38.81%** |
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- | Project Gutenberg | 25.84% | 23.04% | 24.63% | 50.21% | 64.07% | **37.56%** | **36.74%** |
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- | EOT-2004-Raw | 29.08% | 21.50% | 27.54% | 51.31% | 59.92% | **37.87%** | **37.72%** |
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- | Wikipedia | 28.28% | 21.16% | 27.61% | 51.14% | 61.06% | **37.83%** | **37.60%** |
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- The II is calculated based on these weights:
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- | Benchmark | Weight | Note (Why?) |
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- | :------------ | -----: | :------------------------------------------------------------------------------------------ |
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- | ARC-Easy | 1.00 | — |
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- | ARC-Challenge | 0.5 | ARC-Challenge is consistently below chance at small scales, so we assign it a much lower weight. |
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- | HellaSwag | 1.00 | — |
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- | PIQA | 1.00 | — |
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- | BLiMP | 0.60 | BLiMP primarily measures grammatical correctness rather than broader reasoning ability. |
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  ## Notice
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  This is a work in progress and is currently not completed. By the end of this project, we aim to have tested over 50 datasets.
 
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  # Results
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  Accuracy is normalized by length and shown as a percentage.
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+ | Dataset | ARC-Easy | HellaSwag | PIQA | **Avg ↑** |
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+ | :---------------- | ---------: | ---------: | ---------: | ---------: |
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+ | FineWeb | 27.82% | 26.89% | 52.83% | **35.85%** |
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+ | DCLM-1.0-Baseline | 29.08% | 27.06% | 52.23% | **36.12%** |
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+ | DOAB | 31.14% | 28.00% | 52.18% | **37.11%** |
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+ | Project Gutenberg | 25.84% | 24.63% | 50.21% | **33.56%** |
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+ | EOT-2004-Raw | 29.08% | 27.54% | 51.31% | **35.98%** |
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+ | Wikipedia | 28.28% | 27.61% | 51.14% | **35.68%** |
 
 
 
 
 
 
 
 
 
 
 
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+ (Will add ArithMark-3.0 later)
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  ## Notice
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  This is a work in progress and is currently not completed. By the end of this project, we aim to have tested over 50 datasets.