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README.md

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 ## 📚 Introduction
 
 Ultra-FineWeb is a **large-scale, high-quality, and efficiently-filtered dataset**. We use the proposed efficient verification-based high-quality filtering pipeline to the FineWeb and Chinese FineWeb datasets (source data from Chinese FineWeb-edu-v2, which includes IndustryCorpus2, MiChao, WuDao, SkyPile, WanJuan, ChineseWebText, TeleChat, and CCI3), resulting in the creation of higher-quality Ultra-FineWeb-en with approximately 1T tokens, and Ultra-FineWeb-zh datasets with approximately 120B tokens, collectively referred to as Ultra-FineWeb. ***Ultra-FineWeb*** serves as a core pre-training web dataset for the [MiniCPM4 Series](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b) and [MiniCPM5 Series](https://huggingface.co/collections/openbmb/minicpm5) models.
-- [Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb): Ultra-FineWeb, a **large-scale, high-quality, and efficiently-filtered dataset**, with 1T English tokens and 120B Chinese tokens. (**<-- you are here**)
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+- [Ultra-FineWeb-L1](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L1): **L1 filtered data** after basic cleaning, heuristic filtering, sensitive-field replacement, and deduplication.
+- [Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb): Ultra-FineWeb, a **large-scale, high-quality, and efficiently-filtered dataset**, with 1T English tokens and 120B Chinese tokens. (**Current dataset**)
 - [Ultra-FineWeb-classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier): Ultra-FineWeb classifier, for filtering high-quality data from web corpora.
 - [Ultra-FineWeb-L3](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L3): the **L3 refined data** based on **Ultra-FineWeb**, via **Q&A Pair Generation** and **Multi-style Rewriting**, with **400B+ English** and **200B+ Chinese** tokens—to our best knowledge, the largest open-source Chinese pre-training synthetic corpus to date.
 
 ## 📢 What's New
 
+- **[2026.08.20]** The [***Ultra-FineWeb-L1***](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L1) dataset is released! Built from Common Crawl snapshots, it undergoes main-text extraction, language filtering, heuristic filtering, sensitive-field replacement, customized cleaning, and deduplication, yielding **1.3T+ tokens (approximately 1.14 billion documents)**. We simultaneously release the L2 selected data [Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb/tree/main/data/ultrafineweb_l1_en_hq), selected by the [Ultra-FineWeb classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier). To our best knowledge, this open-source web pre-training dataset covers the most recent Common Crawl snapshots, up to `CC-MAIN-2025-51`. 🚀🚀🚀
 - **[2026.05.28]** The [***Ultra-FineWeb-L3***](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L3) dataset is released! The **L3 refined data** of **Ultra-FineWeb** via **Q&A Pair Generation** and **Multi-style Rewriting**, with **400B+ English** and **200B+ Chinese** tokens. To our best knowledge, it is the largest open-source Chinese pre-training synthetic corpus to date. 🚀🚀🚀
 - **[2026.05.25]** ***[MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) is released!***, the first model in the MiniCPM5 series. It is a dense 1B Transformer built for on-device, local deployment, and resource-constrained scenarios, reaching 1B-class open-source SOTA. Ultra-FineWeb serves as the core pre-training web dataset for MiniCPM5-1B. 
 - **[2026.02.08]** The [***UltraData***](https://ultradata.openbmb.cn/) platform is now live, introducing the [L0-L4 tiered data management framework](https://arxiv.org/abs/2602.09003). ***Ultra-FineWeb*** serves as the **L2 selected layer** for general web data in this framework. 🔍🔍🔍

README_ZH.md

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 Ultra-FineWeb 是一个**大规模、高质量、高效过滤**的网页预训练数据集。我们将提出的高效验证式高质量过滤流水线应用于 FineWeb 与 Chinese FineWeb 数据集（中文部分源数据来自 Chinese FineWeb-edu-v2，涵盖 IndustryCorpus2、MiChao、WuDao、SkyPile、WanJuan、ChineseWebText、TeleChat 与 CCI3 等），得到更高质量的 Ultra-FineWeb-en（约 1T tokens）与 Ultra-FineWeb-zh（约 120B tokens），合称 ***Ultra-FineWeb***。***Ultra-FineWeb*** 是 [MiniCPM4 系列](https://huggingface.co/collections/openbmb/minicpm-4-6841ab29d180257e940baa9b) 与 [MiniCPM5 系列](https://huggingface.co/collections/openbmb/minicpm5) 的核心预训练网页数据集。
 
+- [Ultra-FineWeb-L1](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L1)：经过基础清洗、规则过滤、敏感字段替换与去重的 **L1 过滤数据**。
 - [Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb)：大规模、高质量、高效过滤的网页预训练数据集，包含 1T 英文 tokens 与 120B 中文 tokens。（**当前数据集**）
 - [Ultra-FineWeb-classifier](https://huggingface.co/openbmb/Ultra-FineWeb-classifier)：Ultra-FineWeb 分类器，用于从网页语料中筛选高质量数据。
 - [Ultra-FineWeb-L3](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L3)：基于 Ultra-FineWeb 的 **L3 合成与增强数据**，通过**问答对生成**与**多风格改写**构建语料，包含 **400B+ 英文**与 **200B+ 中文** tokens；据我们所知，这是目前规模最大的开源中文预训练合成语料。
 
 ## 📢 最新动态
 
+- **[2026.08.20]** [***Ultra-FineWeb-L1***](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L1) 数据集正式发布！该数据集基于 Common Crawl 数据快照构建，经过正文提取、语言过滤、规则清洗、敏感字段替换、文本净化和去重，共包含 **1.3T+ tokens（约 11.4 亿篇文档）**。同时发布由 [Ultra-FineWeb 分类器](https://huggingface.co/openbmb/Ultra-FineWeb-classifier) 筛选得到的 L2 精选数据 [Ultra-FineWeb](https://huggingface.co/datasets/openbmb/Ultra-FineWeb/tree/main/data/ultrafineweb_l1_en_hq)。据我们所知，这是目前开源网页预训练数据集中覆盖 Common Crawl 快照时间最新的数据集（当前截止到 2025-51）。🚀🚀🚀
 - **[2026.05.28]** [***Ultra-FineWeb-L3***](https://huggingface.co/datasets/openbmb/Ultra-FineWeb-L3) 数据集正式发布！作为 **Ultra-FineWeb** 的 **L3 合成与增强数据**，通过**问答对生成**与**多风格改写**构建语料，包含 **400B+ 英文**与 **200B+ 中文** tokens。据我们所知，这是目前规模最大的开源中文预训练合成语料。🚀🚀🚀
 - **[2026.05.25]** ***[MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B) 正式发布！*** 作为 MiniCPM5 系列的首款模型，这是一款面向端侧、本地部署与资源受限场景的 1B 稠密 Transformer，在 1B 级开源模型中达到 SOTA。Ultra-FineWeb 是 MiniCPM5-1B 的核心预训练网页数据集。
 - **[2026.02.08]** [***UltraData***](https://ultradata.openbmb.cn/) 平台正式上线，并发布 [L0-L4 分级数据管理框架](https://arxiv.org/abs/2602.09003)。***Ultra-FineWeb*** 是该框架下通用网页数据的 **L2 精选层**实践。🔍🔍🔍