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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: odc-by
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+ language:
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+ - ar
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+ tags:
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+ - arabicf
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+ - fineweb
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+ - MSA
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+ pretty_name: FineWeb2 MSA
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+ size_categories:
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+ - 10M<n<100M
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+ ---
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+
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+ # FineWeb2 MSA Arabic
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/7QWU4U2orwaXAZGC3lWy0.png)
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+ This is the MSA Arabic Portion of The [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2#additional-information) Dataset.
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+ This dataset contains a rich collection of text in **MSA Arabic** (ISO 639-3: arz), a widely spoken dialect within the Afro-Asiatic language family.
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+ With over **439 million words** and **1.4 million** documents, it serves as a valuable resource for NLP development and linguistic research focused on Egyptian Arabic.
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+
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+ ## Purpose of This Repository
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+ This repository provides easy access to the **Arabic portion - MSA** of the extensive **FineWeb2** dataset. My primary goal is to make this valuable data more accessible and impactful for researchers, developers, and anyone working on **Arabic** natural language processing (NLP) projects.
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+ By focusing on Arabic, I aim to:
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+ - **Simplify Access**: Provide a direct and streamlined way to download the Arabic portion of the dataset without navigating through the larger collection.
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+ - **Promote Research**: Enable more efficient use of Arabic text data for NLP, LLMs, and linguistic research.
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+ - **Empower the Community**: Support Arabic language processing and contribute to the growth of multilingual NLP capabilities.
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+ - **Encourage Collaboration**: Foster an environment where researchers and developers can build impactful applications using Arabic data.
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+
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+
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+ ## Credit to the Original Work
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+
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+ The dataset is released under the [Open Data Commons Attribution License (ODC-By) v1.0](https://opendatacommons.org/licenses/by/1-0/), with additional usage subject to CommonCrawl's Terms of Use..
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+
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+ ### Citation
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+
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+ If you use this dataset, please cite it as follows:
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+ ```bibtex
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+ @software{penedo2024fineweb-2,
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+ author = {Penedo, Guilherme and Kydlíček, Hynek and Sabolčec, Vinko and Messmer, Bettina and Foroutan, Negar and Jaggi, Martin and von Werra, Leandro and Wolf, Thomas},
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+ title = {FineWeb2: A sparkling update with 1000s of languages},
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+ month = dec,
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+ year = 2024,
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+ doi = {10.57967/hf/3744},
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+ url = {https://huggingface.co/datasets/HuggingFaceFW/fineweb-2}
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+ }