Datasets:
Improve dataset card: Add task categories, language, correct size, relevant tags, and links
Browse filesThis PR improves the dataset card with the following updates:
- Adds `task_categories: ['text-generation']` to reflect the dataset's primary use in training large language models.
- Corrects `size_categories` from `1B<n<10B` to `>1T` to accurately represent the 7.3-trillion token corpus size mentioned in the paper.
- Adds `language: ['multilingual']` as the paper abstract explicitly describes it as a multilingual corpus.
- Includes relevant `tags` (`common-crawl`, `html-parsing`, `web-corpus`, `markdown`) for better discoverability.
- Adds prominent links to the Hugging Face paper (https://huggingface.co/papers/2511.16397) and project page (https://opendatalab.com/ai-ready/AICC) at the top of the dataset card.
- The existing arXiv link for the technical report remains unchanged, as per guidelines.
- No sample usage section has been added as no code snippets were found in the provided GitHub README.
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---
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license: cc-by-4.0
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size_categories:
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---
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# AICC: AI-ready Common Crawl Dataset
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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
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- **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.
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- **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.
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- **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.
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@@ -46,7 +58,16 @@ Note that only the extracted JSON records are included in the released dataset.
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"track_id": "5667aa9a-da8a-5c80-a678-d38609247cb5",
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"url": "https://cheezburger.com/14867205/dude-finds-giant-centipede-in-daughters-room-horrifies-people-with-the-footage",
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"language": "en",
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"content": "# Dude Finds Giant Centipede In Daughter's Room & Horrifies People With the Footage
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"extract_method": "MinerU-HTML",
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"sub_path": "CC-MAIN-2025-08"
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}
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---
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license: cc-by-4.0
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size_categories:
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- '>1T'
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task_categories:
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- text-generation
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language:
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- multilingual
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tags:
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- common-crawl
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- html-parsing
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- web-corpus
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- markdown
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# AICC: AI-ready Common Crawl Dataset
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[Paper](https://huggingface.co/papers/2511.16397) | [Project page](https://opendatalab.com/ai-ready/AICC)
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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.
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- **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.
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- **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.
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- **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.
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"track_id": "5667aa9a-da8a-5c80-a678-d38609247cb5",
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"url": "https://cheezburger.com/14867205/dude-finds-giant-centipede-in-daughters-room-horrifies-people-with-the-footage",
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"language": "en",
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"content": "# Dude Finds Giant Centipede In Daughter's Room & Horrifies People With the Footage
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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.
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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
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— Miami Vice II (@VickGlaze) July 27, 2021
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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.
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",
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"extract_method": "MinerU-HTML",
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"sub_path": "CC-MAIN-2025-08"
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}
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