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  license: cc0-1.0
 
 
 
 
 
 
 
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  license: cc0-1.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ pretty_name: Common crawl filtered corpus
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+ size_categories:
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+ - 100K<n<1M
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  ---
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+ # English Cleaned Common Crawl Markdown Dataset
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+
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+ An English-focused dataset created from **Common Crawl**, cleaned and converted to **Markdown**.
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+ The goal is to preserve web-document structure so that AI models can learn both **natural language and Markdown formatting**.
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+
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+ ## Features
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+
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+ - English-focused
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+ - Cleaned and filtered web content
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+ - HTML converted to Markdown
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+ - Exact and near-duplicate filtering
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+ - GPT-2 perplexity filtering
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+ - Stored as compressed Parquet shards
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+
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+ ## Source
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+
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+ The current dataset is being created from:
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+
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+ **Common Crawl — `CC-MAIN-2026-25`**
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+
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+ ## Processing
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+
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+ The pipeline roughly follows:
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+
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+ ```text
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+ Common Crawl
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+
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+ HTML → Markdown
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+
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+ Text cleaning
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+
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+ English filtering
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+
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+ Deduplication
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+
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+ Quality filtering
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+
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+ Parquet shards
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+ ```
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+ ## Dataset Format
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+
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+ Each document contains:
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+
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+ * text — cleaned Markdown
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+ * url — original URL
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+ * warc_date — Common Crawl date
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+ * record_id — WARC record ID
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+ * payload_digest — Common Crawl digest
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+ * edu_score — FineWeb-Edu score
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+ * perplexity — GPT-2 perplexity
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+
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+ Example:
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+
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+ ```json
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+ {
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+ "text": "A strong first passage makes the page easier to scan and improves the sense that the story belongs to a broader publication. Page 541 keeps this section distinct through ordering, context and a stable archival route. The opening section frames the topic with a calmer editorial rhythm and gives the page a clear entry po...",
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+ "url": "http://aece.website/context-and-a-stable-archival-route-541/",
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+ "warc_date": "2026-06-05T23:15:05Z",
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+ "record_id": "urn:uuid:10c5fb6b-6359-4bc0-b503-217bb07ce3cb",
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+ "payload_digest": "sha1:6JK43QOH3CQ64XB3MUWUICDVWDXJUEAO",
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+ "edu_score": 1.767578125,
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+ "perplexity": 0.0
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+ }
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+ ```
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+
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+ ## File format
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+
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+ Each common crawl timeline (Eg: 2025-26) is stored as a seperate folder like `CC-MAIN-2025-26`
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+
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+
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+ ## Status
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+
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+ Processing in progress.
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+ The dataset is uploaded shard by shard while it is being processed.
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+ Because processing is still ongoing, the Hugging Face Data Viewer may not be available yet. However, individual Parquet shards can already be downloaded from the repository.
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+
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+ ## Intended Use
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+
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+ This dataset is mainly intended for research and experimentation involving:
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+
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+ Markdown-aware language models
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+ LLM pretraining
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+ Markdown generation
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+ Structured document generation
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+ Web-text research
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+
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+ <blockquote>
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+ This dataset is derived from publicly crawled web content. Individual documents may have different copyright or licensing conditions.
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+ Please check the applicable rights before using the data.
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+ The filtering pipeline is automated, so some unwanted or low-quality content may remain.
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+ </blockquote>
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+
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+ ## Feedback
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+
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+ Feedback on the cleaning, Markdown quality, filtering, and dataset format is welcome!