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README.md
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- es
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configs:
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- config_name: CC-MAIN-2024-51
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data_files: data/CC-MAIN-2024-51/**/*.parquet
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- config_name: CC-MAIN-2024-51-af
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data_files:
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- split: train
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path: data/CC-MAIN-2024-51/af/train-*
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- config_name: CC-MAIN-2024-51-de
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data_files: data/CC-MAIN-2024-51/de/*.parquet
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- config_name: CC-MAIN-2024-51-en
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data_files: data/CC-MAIN-2024-51/en/*.parquet
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- config_name: CC-MAIN-2024-51-es
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data_files: data/CC-MAIN-2024-51/es/*.parquet
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- config_name: CC-MAIN-2024-51-fr
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data_files: data/CC-MAIN-2024-51/fr/*.parquet
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- config_name: CC-MAIN-2024-51-fy
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data_files: data/CC-MAIN-2024-51/fy/*.parquet
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- config_name: CC-MAIN-2024-51-it
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data_files: data/CC-MAIN-2024-51/it/*.parquet
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- config_name: CC-MAIN-2024-51-nl
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data_files: data/CC-MAIN-2024-51/nl/*.parquet
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- config_name: af
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data_files: data/**/af/*.parquet
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- config_name: de
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data_files: data/**/de/*.parquet
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- config_name: default
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data_files: data/**/*.parquet
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dtype: float64
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- name: in_fw2
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dtype: bool
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splits:
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- name: train
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num_bytes: 75356511
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num_examples: 17733
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download_size: 41860751
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dataset_size: 75356511
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---
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> **Raw CommonCrawl crawls, annotated with potential Creative Commons license information**
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons")
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# Single dump, all languages
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-
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# Single language, all dumps
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "nl")
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# Single language, single dump
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-
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```
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## Fields
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## Progress
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The attempt is to at least process all five RedPyjama crawls + `CC-MAIN-
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Done:
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- CC-MAIN-2022-05
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- CC-MAIN-2023-06
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- CC-MAIN-
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- CC-MAIN-2025-05
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## Languages
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## Acknowledgments
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- [TNO](https://www.tno.nl/
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- [Flemish Supercomputer Center](https://www.vscentrum.be/) for part of the compute under grant 2024-107
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- Guilherme Penedo ([@guipenedo](https://huggingface.co/guipenedo)) and the rest of the [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) and [datatrove](https://github.com/huggingface/datatrove) team for the help and insights
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- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.
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- nl
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- es
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configs:
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- config_name: default
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data_files: data/**/*.parquet
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# Languages
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- config_name: afr
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data_files: data/**/afr/*.parquet
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- config_name: deu
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data_files: data/**/deu/*.parquet
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- config_name: eng
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data_files: data/**/eng/*.parquet
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- config_name: spa
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data_files: data/**/spa/*.parquet
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- config_name: fra
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data_files: data/**/fra/*.parquet
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- config_name: fry
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data_files: data/**/fry/*.parquet
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- config_name: ita
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data_files: data/**/ita/*.parquet
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- config_name: nld
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data_files: data/**/nld/*.parquet
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# Per-crawl
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# CC-MAIN-2019-30
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- config_name: CC-MAIN-2019-30
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data_files: data/CC-MAIN-2019-30/**/*.parquet
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- config_name: CC-MAIN-2019-30-afr
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data_files: data/CC-MAIN-2019-30/afr/*.parquet
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- config_name: CC-MAIN-2019-30-deu
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data_files: data/CC-MAIN-2019-30/deu/*.parquet
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- config_name: CC-MAIN-2019-30-eng
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data_files: data/CC-MAIN-2019-30/eng/*.parquet
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- config_name: CC-MAIN-2019-30-spa
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data_files: data/CC-MAIN-2019-30/spa/*.parquet
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- config_name: CC-MAIN-2019-30-fra
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data_files: data/CC-MAIN-2019-30/fra/*.parquet
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- config_name: CC-MAIN-2019-30-fry
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data_files: data/CC-MAIN-2019-30/fry/*.parquet
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- config_name: CC-MAIN-2019-30-ita
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data_files: data/CC-MAIN-2019-30/ita/*.parquet
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- config_name: CC-MAIN-2019-30-nld
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data_files: data/CC-MAIN-2019-30/nld/*.parquet
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# CC-MAIN-2020-05
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- config_name: CC-MAIN-2020-05
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data_files: data/CC-MAIN-2020-05/**/*.parquet
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- config_name: CC-MAIN-2020-05-afr
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data_files: data/CC-MAIN-2020-05/afr/*.parquet
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- config_name: CC-MAIN-2020-05-deu
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data_files: data/CC-MAIN-2020-05/deu/*.parquet
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- config_name: CC-MAIN-2020-05-eng
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data_files: data/CC-MAIN-2020-05/eng/*.parquet
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- config_name: CC-MAIN-2020-05-spa
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data_files: data/CC-MAIN-2020-05/spa/*.parquet
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- config_name: CC-MAIN-2020-05-fra
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data_files: data/CC-MAIN-2020-05/fra/*.parquet
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- config_name: CC-MAIN-2020-05-fry
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data_files: data/CC-MAIN-2020-05/fry/*.parquet
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- config_name: CC-MAIN-2020-05-ita
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data_files: data/CC-MAIN-2020-05/ita/*.parquet
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- config_name: CC-MAIN-2020-05-nld
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data_files: data/CC-MAIN-2020-05/nld/*.parquet
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---
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> **Raw CommonCrawl crawls, annotated with potential Creative Commons license information**
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons")
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# Single dump, all languages
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30")
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# Single language, all dumps
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "nl")
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# Single language, single dump
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ds = load_dataset("BramVanroy/CommonCrawl-CreativeCommons", "CC-MAIN-2019-30-nl")
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```
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## Fields
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## Progress
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The attempt is to at least process all five RedPyjama crawls + `CC-MAIN-2019-30`.
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Done:
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- CC-MAIN-2022-05
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- CC-MAIN-2023-06
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- CC-MAIN-2019-30
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- CC-MAIN-2025-05
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## Languages
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## Acknowledgments
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- [TNO](https://www.tno.nl/nld/), who funded the work hours to accomplish this collection. They intend to use parts of this material for the [GPT-NL project](https://gpt-nl.nl/).
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- [Flemish Supercomputer Center](https://www.vscentrum.be/) for part of the compute under grant 2024-107
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- Guilherme Penedo ([@guipenedo](https://huggingface.co/guipenedo)) and the rest of the [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb) and [datatrove](https://github.com/huggingface/datatrove) team for the help and insights
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- ML6 and specifically Robin Van Craenenbroek for their [Fondant Creative Commons](https://github.com/ml6team/fondant-usecase-filter-creative-commons/tree/add-fondant-usecase-cc-image-extraction) filter for image datasets. While my approach is different, their code did serve as inspiration.
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