AICC: AI-ready Common Crawl Dataset

Paper | Project page

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.
• 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.

🎉🎉🎉 Experience our online web extraction with your own HTML!!!

Dataset Creation

Raw Html Source This release includes the parsed results from two Common Crawl dumps:

• CC-MAIN-2025-08
• CC-MAIN-2025-13

MinerU-HTML Pipeline The detailed pipeline can be found in the AICC technical report:

Data Statistics

The AICC dataset contains only the successfully extracted AI-ready JSON records(each with a content field containing Markdown text).
For reference, the number of original pages in the corresponding Common Crawl dumps is also shown below.
Note that only the extracted JSON records are included in the released dataset.

Common Crawl Dump	AICC JSON records (lines)	Original pages (lines, not included)
CC-MAIN-2025-08	2,391,293,976	2,679,687,937
CC-MAIN-2025-13	2,452,518,662	2,740,793,128

Data Format

Field name	Field description	Note
track_id	Unique tracking identifier for the record	-
url	Full original URL of the webpage, indicating the source of the content	-
language	Primary language of the webpage	Identified using the fastText language detection model lid.176.bin
content 🚩	Clean Markdown-formatted content extracted from the webpage HTML	-
extract_method	Name of the web content extraction method used	-
sub_path	Relative path or shard location within the original Common Crawl storage structure	Used to locate the record’s original source in WARC/WAT/WET files, supporting data traceability and verification

Data sample

  {
    "track_id": "5667aa9a-da8a-5c80-a678-d38609247cb5",
    "url": "https://cheezburger.com/14867205/dude-finds-giant-centipede-in-daughters-room-horrifies-people-with-the-footage",
    "language": "en",
    "content": "# Dude Finds Giant Centipede In Daughter's Room & Horrifies People With the Footage

Growing up in Brooklyn I was always terrified of house centipedes. And why wouldn't I be? The revoltingly speedy unibrow bugs were all over the place. They'd find their way onto my arm at slumber parties, inspiring blood-curdling screams more indicative of a murder than a creepy crawly. I'd find them in my shoes. My mother would tell me they're \"good bugs\" because they eat the \"bad bugs,\" but to me they were the stuff of literal nightmares. Eventually my fear subsided, after having to live in a dank and dark East Village basement where they were a daily sighting. I'd almost forgotten about the critters - until Twitter user@VickGlaze horrified the internet with a video that features a far more sinister-looking centipede.

I almost had set the crib on fire yesterday….Y'all wouldn't believe what I found in my daughters room dawg. I just spent a 50ball at Lowe's on everything pest control. I found where it came in and sealed every window in the crib and some. pic.twitter.com/iAoN7uWYsY

— Miami Vice II (@VickGlaze) July 27, 2021

The alarmingly large centipede in Vick's video is known by a few names. Some call them Texas redheaded centipedes, others the Giant Desert Centipede. Whatever its called, it's freaking terrifying. And this scared father was not afraid to admit it. In a thread, he details all the measures he took to protect his home, and the terror the creature has struck in his heart. The responses (mostly in solidarity) are almost as entertaining as the video and accompanying story. As for me? I'm feeling pretty damn lucky that I grew up in New York and not in Austin, Texas, where these massive venomous critters roam.
",
    "extract_method": "MinerU-HTML",
    "sub_path": "CC-MAIN-2025-08"
  }

Citation

@misc{ma2025aiccparsehtmlfiner,
      title={AICC: Parse HTML Finer, Make Models Better -- A 7.3T AI-Ready Corpus Built by a Model-Based HTML Parser}, 
      author={Ren Ma and Jiantao Qiu and Chao Xu and Pei Chu and Kaiwen Liu and Pengli Ren and Yuan Qu and Jiahui Peng and Linfeng Hou and Mengjie Liu and Lindong Lu and Wenchang Ning and Jia Yu and Rui Min and Jin Shi and Haojiong Chen and Peng Zhang and Wenjian Zhang and Qian Jiang and Zengjie Hu and Guoqiang Yang and Zhenxiang Li and Fukai Shang and Zhongying Tu and Wentao Zhang and Dahua Lin and Conghui He},
      year={2025},
      eprint={2511.16397},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2511.16397}, 
}

License and Ethics

This dataset is licensed under CC BY 4.0, requiring attribution when used. It is derived from Common Crawl web pages and may contain biased or sensitive content; users are responsible for ethical and lawful usage in research or applications.