Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Size:
10M - 100M
License:
Update README.md
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README.md
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- text-generation
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task_ids:
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- language-modeling
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pretty_name: Common Crawl Creative Commons Corpus
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language:
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- afr
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- deu
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dataset_size: 35049867677
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---
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# Common Crawl Creative Commons Corpus
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A filtered version of the [Common Crawl Creative Commons Corpus](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons) (C5), only retaining samples that:
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## Quantity
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Counts for the `
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**Note**: when comparing the original with this version, understand that: i. this version does not include crawl 2025-05 because FineWeb(-2) did not include it; ii. both 2024-46 and 2024-51 only contain English because FineWeb-2 did not include those crawls. So calculating quantity reduction after filtering should take this information into account.
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| Language | No. Docs (original) | **No. Docs (
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| --------- | -------------------:| -------------------:| --------------------:| ---------------------:|
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| afr | 312,262 | 350 | 358,873,448 | 913,178 |
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| deu | 9,530,746 | 89,340 | 11,362,859,534 | 84,408,955 |
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- text-generation
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task_ids:
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- language-modeling
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pretty_name: Common Crawl Creative Commons Corpus Strict (C5s)
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language:
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- afr
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- deu
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dataset_size: 35049867677
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---
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# Common Crawl Creative Commons Corpus Strict (C5s)
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A filtered version of the [Common Crawl Creative Commons Corpus](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons) (C5), only retaining samples that:
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## Quantity
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Counts for the `strict` release. Detailed number of tokens (Llama 3.3 tokenizer) and number of documents are given in the [counts.json](https://huggingface.co/datasets/BramVanroy/CommonCrawl-CreativeCommons-strict/blob/main/counts.json) file.
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**Note**: when comparing the original with this version, understand that: i. this version does not include crawl 2025-05 because FineWeb(-2) did not include it; ii. both 2024-46 and 2024-51 only contain English because FineWeb-2 did not include those crawls. So calculating quantity reduction after filtering should take this information into account.
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| Language | No. Docs (original) | **No. Docs (C5s)** | No. Tokens (original)| **No. Tokens (C5s)** |
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| --------- | -------------------:| -------------------:| --------------------:| ---------------------:|
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| afr | 312,262 | 350 | 358,873,448 | 913,178 |
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| deu | 9,530,746 | 89,340 | 11,362,859,534 | 84,408,955 |
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