Datasets:
Omartificial-Intelligence-Space
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README.md
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path: data/train-*
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- split: test
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path: data/test-*
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---
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path: data/train-*
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- split: test
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path: data/test-*
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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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- Moroccan
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- Arabic
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- Datasets
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- FineWeb2
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pretty_name: MoroccanArabic
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size_categories:
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- 10M<n<100M
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---
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# FineWeb2 Moroccan Arabic
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/MMzGBk4D17eYiapypUOjk.png)
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🇲🇦 This is the Moroccan Arabic Portion of The [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2#additional-information) Dataset.
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🇲🇦 The Moroccan Arabic language, represented by the ISO 639-3 code **ary**, is a member of the Afro-Asiatic language family and utilizes the Arabic script.
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🇲🇦 Known within subsets as **ary_Arab**, this language boasts an extensive corpus of over **1.7 billion words** across more than **6.1 million documents**, collectively occupying a disk size of approximately **5.79 GB.**
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## Purpose of This Repository
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This repository provides easy access to the **Arabic portion - Moroccan** 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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## Credit to the Original Work
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The dataset is released under the **Open Data Commons Attribution License (ODC-By) v1.0**, with additional usage subject to **CommonCrawl's Terms of Use**.
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### Citation
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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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}
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