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README.md
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@@ -16,15 +16,16 @@ This dataset is part of the [**Essential-Web**](https://huggingface.co/datasets/
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Our taxonomy-based approach achieves competitive results with significantly less curation effort:
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| Dataset | GSM8K | MATH | Curation Complexity |
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| FineMath 3+ | **26.4%** | **11.7%** | Complex domain pipeline |
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| OpenWebMath | 14.6% | 9.3% | Complex domain pipeline |
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| MegaMath Web | 9.8% | 7.9% | Complex domain pipeline |
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| Taxonomy Math
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## ✨ Key Features
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Our taxonomy-based approach achieves competitive results with significantly less curation effort:
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| Dataset | GSM8K | MATH | MMLU-Math | Curation Complexity |
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| FineMath 3+ | **26.4%** ± 1.4 | **11.7%** ± 0.4 | **32.3%** ± 1.5 | Complex domain pipeline |
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| OpenWebMath | 14.6% ± 1.1 | 9.3% ± 0.4 | 29.9% ± 1.5 | Complex domain pipeline |
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| MegaMath Web (Top 10%) | 9.8% ± 0.9 | 7.9% ± 0.3 | 29.9% ± 1.5 | Complex domain pipeline |
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| DCLM-baseline | 4.8% ± 0.7 | 4.4% ± 0.3 | 27.0% ± 1.4 | Standard baseline |
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| **EAI-Taxonomy Top Math** | 21.3% ± 1.3 | 11.0% ± 0.4 | 30.5% ± 1.5 | **Simple semantic filter** |
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| **EAI-Taxonomy Math w/ FM** | 22.4% ± 1.3 | 11.5% ± 0.4 | 30.9% ± 1.5 | **+ FineMath classifier** |
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*Results show our EAI-Taxonomy datasets perform within 15% of SOTA on GSM8K while requiring minimal domain-specific tuning. On MATH and MMLU-Math, EAI-Taxonomy Math w/ FM performs within standard error of the leading FineMath 3+ dataset.*
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## ✨ Key Features
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