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Update README: Add UltraData-Math-L2 dataset description

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@@ -64,6 +64,7 @@ Experiments show that on the MiniCPM-1B architecture, ***UltraData-Math*** achie
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  ***UltraData-Math*** has been applied to the mathematical pre-training of the [MiniCPM Series](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b) models.
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  - **[UltraData-Math-L1](https://huggingface.co/datasets/openbmb/UltraData-Math)**: Large-scale high-quality mathematical pre-training dataset, containing 170.5B tokens of web mathematical corpus. (**<-- you are here**)
 
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  - **[UltraData-Math-L3](https://huggingface.co/datasets/openbmb/UltraData-Math-L3)**: High-quality synthetic mathematical dataset, containing 88B tokens of multi-format synthetic data (Q&A, multi-turn dialogues, knowledge textbooks, etc.).
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  ## 🏗️ Data Processing Pipeline
 
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  ***UltraData-Math*** has been applied to the mathematical pre-training of the [MiniCPM Series](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b) models.
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  - **[UltraData-Math-L1](https://huggingface.co/datasets/openbmb/UltraData-Math)**: Large-scale high-quality mathematical pre-training dataset, containing 170.5B tokens of web mathematical corpus. (**<-- you are here**)
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+ - **[UltraData-Math-L2](https://huggingface.co/datasets/openbmb/UltraData-Math-L2)**: High-quality mathematical pre-training dataset selected by the quality model, containing 33.7B tokens of high-quality web mathematical corpus.
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  - **[UltraData-Math-L3](https://huggingface.co/datasets/openbmb/UltraData-Math-L3)**: High-quality synthetic mathematical dataset, containing 88B tokens of multi-format synthetic data (Q&A, multi-turn dialogues, knowledge textbooks, etc.).
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  ## 🏗️ Data Processing Pipeline