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@@ -41,8 +41,8 @@ The dataset is balanced across six core mathematical topics and includes 20% of
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  For fine-grained performance evaluation results and detailed discussion, check out our [paper](LINK).
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- * ๐Ÿ“Š [U-MATH benchmark at Hugginface](https://huggingface.co/datasets/toloka/umath)
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- * ๐Ÿ”Ž [ฮผ-MATH benchmark at Hugginface](https://huggingface.co/datasets/toloka/mumath)
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  * ๐Ÿ—ž๏ธ [Paper](LINK)
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  * ๐Ÿ‘พ [Evaluation Code at GitHub](https://github.com/Toloka/u-math/)
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  For fine-grained performance evaluation results and detailed discussion, check out our [paper](LINK).
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+ * ๐Ÿ“Š [U-MATH benchmark at Huggingface](https://huggingface.co/datasets/toloka/umath)
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+ * ๐Ÿ”Ž [ฮผ-MATH benchmark at Huggingface](https://huggingface.co/datasets/toloka/mumath)
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  * ๐Ÿ—ž๏ธ [Paper](LINK)
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  * ๐Ÿ‘พ [Evaluation Code at GitHub](https://github.com/Toloka/u-math/)
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