Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
multilingual
Size:
1B - 10B
ArXiv:
License:
Update README.md
Browse files
README.md
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@@ -11,7 +11,7 @@ AICC (AI-ready Common Crawl) is a large-scale, **AI-ready web dataset** derived
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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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🎉🎉🎉 [Experience our online web extraction with your own HTML!!!](https://opendatalab.com/ai-ready/
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## Dataset Creation
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**Raw Html Source** This release includes the parsed results from two **Common Crawl** dumps:
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- CC-MAIN-2025-08
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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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🎉🎉🎉 [Experience our online web extraction with your own HTML!!!](https://opendatalab.com/ai-ready/AICC)
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## Dataset Creation
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**Raw Html Source** This release includes the parsed results from two **Common Crawl** dumps:
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- CC-MAIN-2025-08
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