Update README.md

README.md

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 AICC (AI-ready Common Crawl) is a **Markdown-formatted**, **AI-Ready web dataset** derived from **Common Crawl** data through parsing and extraction. The dataset is generated using the **Dripper** method, a web extraction technique 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.
 - **Precise structured elements:** High-fidelity extraction of code blocks, mathematical formulas, and complex tables from real-world web pages, preserving syntax, formatting, and structural integrity.
+- **Proven downstream effectiveness:** Pretraining a language model on AICC leads to higher accuracy across diverse benchmarks compared to training on datasets extracted with other methods.
 
 ## Dataset Creation
 **Raw Html Source**  This release includes the parsed results from two **Common Crawl** dumps:
 - CC-MAIN-2025-08
 - CC-MAIN-2025-13
 
-**Dripper Pipeline**  The detailed pipeline can be found in the [Dripper technical report](https://opendatalab.com/):
+**Dripper Pipeline**  The detailed pipeline can be found in the [AICC technical report](https://opendatalab.com/):
 ![](./images/主流程图.png)