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README.md CHANGED
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  ## 📢 What's New
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  - **[2026.10.12]** The [***UltraData-Stack-v3-L2***](https://huggingface.co/datasets/openbmb/UltraData-Stack-v3-L2) dataset is released! 🚀🚀🚀
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  - **[2026.09.07]** The [***UltraData-Code***](https://huggingface.co/datasets/openbmb/UltraData-Code) dataset is released! It is a complete implementation of the [UltraData](https://ultradata.openbmb.cn/) [L0-L4 tiered data management framework](https://arxiv.org/pdf/2602.09003). It covers four code data states from L0 through L3, with each level corresponding to a distinct construction stage. This release currently open-sources **L2** (\~400B tokens) and **L3** (\~150B tokens) across 11 programming languages. 🚀🚀🚀
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  - **[2026.09.07]** ***[MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) is released!***, the second model in the MiniCPM5 series after MiniCPM5-1B. It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios. It reaches **2B-class open-source SOTA**, remains competitive with 4B-class models, and shows particular advantages in coding, mathematics, long-context understanding, tool use, and agentic tasks. UltraData-RL-2609 serves as the core RL dataset for MiniCPM5-2B. 🚀🚀🚀
 
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  ## 📢 What's New
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+ - **[2026.10.16]** The [***UltraData-Code technical report***](https://huggingface.co/datasets/openbmb/UltraData-Code/blob/main/tech_report/UltraData_Code_Tech_Report.pdf) is released! 🚀🚀🚀
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  - **[2026.10.12]** The [***UltraData-Stack-v3-L2***](https://huggingface.co/datasets/openbmb/UltraData-Stack-v3-L2) dataset is released! 🚀🚀🚀
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  - **[2026.09.07]** The [***UltraData-Code***](https://huggingface.co/datasets/openbmb/UltraData-Code) dataset is released! It is a complete implementation of the [UltraData](https://ultradata.openbmb.cn/) [L0-L4 tiered data management framework](https://arxiv.org/pdf/2602.09003). It covers four code data states from L0 through L3, with each level corresponding to a distinct construction stage. This release currently open-sources **L2** (\~400B tokens) and **L3** (\~150B tokens) across 11 programming languages. 🚀🚀🚀
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  - **[2026.09.07]** ***[MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) is released!***, the second model in the MiniCPM5 series after MiniCPM5-1B. It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios. It reaches **2B-class open-source SOTA**, remains competitive with 4B-class models, and shows particular advantages in coding, mathematics, long-context understanding, tool use, and agentic tasks. UltraData-RL-2609 serves as the core RL dataset for MiniCPM5-2B. 🚀🚀🚀
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  ## 📢 最新动态
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  - **[2026.10.12]** [***UltraData-Stack-v3-L2***](https://huggingface.co/datasets/openbmb/UltraData-Stack-v3-L2) 数据集正式发布!🚀🚀🚀
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  - **[2026.09.07]** [***UltraData-Code***](https://huggingface.co/datasets/openbmb/UltraData-Code) 数据集正式发布!这是 [UltraData](https://ultradata.openbmb.cn/) [L0-L4 分级治理体系](https://arxiv.org/pdf/2602.09003) 的完整实现,覆盖 L0 至 L3 四个代码数据状态,各层对应不同的数据构建阶段。本次开源 **L2**(约 400B tokens)和 **L3**(约 150B tokens),覆盖 11 种编程语言。🚀🚀🚀
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  - **[2026.09.07]** ***[MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) 正式发布!*** 作为 MiniCPM5 系列在 MiniCPM5-1B 之后的第二款模型,这是一款沿用同一套训练配方放大的 2B 稠密 Transformer,面向端侧、本地部署与资源受限场景,达到 **2B 级开源 SOTA**,整体可与 4B 级模型竞争,并在代码、数学、长上下文、工具调用与 Agent 任务上相对同规模模型更具优势。UltraData-RL-2609 是 MiniCPM5-2B 的核心 RL 数据。🚀🚀🚀
 
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  ## 📢 最新动态
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+ - **[2026.10.16]** [***UltraData-Code 技术报告***](https://huggingface.co/datasets/openbmb/UltraData-Code/blob/main/tech_report/UltraData_Code_Tech_Report.pdf) 正式发布!🚀🚀🚀
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  - **[2026.10.12]** [***UltraData-Stack-v3-L2***](https://huggingface.co/datasets/openbmb/UltraData-Stack-v3-L2) 数据集正式发布!🚀🚀🚀
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  - **[2026.09.07]** [***UltraData-Code***](https://huggingface.co/datasets/openbmb/UltraData-Code) 数据集正式发布!这是 [UltraData](https://ultradata.openbmb.cn/) [L0-L4 分级治理体系](https://arxiv.org/pdf/2602.09003) 的完整实现,覆盖 L0 至 L3 四个代码数据状态,各层对应不同的数据构建阶段。本次开源 **L2**(约 400B tokens)和 **L3**(约 150B tokens),覆盖 11 种编程语言。🚀🚀🚀
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  - **[2026.09.07]** ***[MiniCPM5-2B](https://huggingface.co/openbmb/MiniCPM5-2B) 正式发布!*** 作为 MiniCPM5 系列在 MiniCPM5-1B 之后的第二款模型,这是一款沿用同一套训练配方放大的 2B 稠密 Transformer,面向端侧、本地部署与资源受限场景,达到 **2B 级开源 SOTA**,整体可与 4B 级模型竞争,并在代码、数学、长上下文、工具调用与 Agent 任务上相对同规模模型更具优势。UltraData-RL-2609 是 MiniCPM5-2B 的核心 RL 数据。🚀🚀🚀