Datasets:

opendatalab
/

AICC

@@ -23,7 +23,7 @@ tags:
 ## News
 - **[2025-12-12]** 🔥 **CC-MinerU-Formula Released!** Beyond the general AICC corpus, we have launched the first part of our specialized high-quality data: the fine-grained web formula dataset **CC-MinerU-Formula**. This data is intelligently parsed and precisely extracted from full Common Crawl raw web structures using our self-developed **MinerU-HTML** semantic-aware HTML extraction engine. Compared to traditional heuristic extraction methods, MinerU-HTML comprehends HTML semantics and effectively preserves the original structural information of formulas, making this structured content highly suitable for Large Language Model scenarios such as mathematical understanding, reasoning, and fine-tuning.
   <br>We have collected 975,155 cross-disciplinary formula samples, covering mathematics, physics, chemistry, and engineering.
-  <br><img src="images/formula_sample.png" width="800" />
 AICC (AI-ready Common Crawl) is a large-scale, **AI-ready web dataset** derived from **Common Crawl**, containing semantically extracted **Markdown-formatted** main content from diverse web pages. The dataset is constructed using the **MinerU-HTML**, a web extraction pipeline developed by OpenDataLab.
 - **High-quality main content:** High-fidelity main content extracted from diverse Common Crawl pages, including challenging types like forums, Q&A sites, and pages with tables or formulas.

 ## News
 - **[2025-12-12]** 🔥 **CC-MinerU-Formula Released!** Beyond the general AICC corpus, we have launched the first part of our specialized high-quality data: the fine-grained web formula dataset **CC-MinerU-Formula**. This data is intelligently parsed and precisely extracted from full Common Crawl raw web structures using our self-developed **MinerU-HTML** semantic-aware HTML extraction engine. Compared to traditional heuristic extraction methods, MinerU-HTML comprehends HTML semantics and effectively preserves the original structural information of formulas, making this structured content highly suitable for Large Language Model scenarios such as mathematical understanding, reasoning, and fine-tuning.
   <br>We have collected 975,155 cross-disciplinary formula samples, covering mathematics, physics, chemistry, and engineering.
+  <br><img src="images/formula_sample.png" width="1500" />
 AICC (AI-ready Common Crawl) is a large-scale, **AI-ready web dataset** derived from **Common Crawl**, containing semantically extracted **Markdown-formatted** main content from diverse web pages. The dataset is constructed using the **MinerU-HTML**, a web extraction pipeline developed by OpenDataLab.
 - **High-quality main content:** High-fidelity main content extracted from diverse Common Crawl pages, including challenging types like forums, Q&A sites, and pages with tables or formulas.