---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 16835101726
    num_examples: 69181074
  - name: test
    num_bytes: 97932889
    num_examples: 404456
  download_size: 8643492886
  dataset_size: 16933034615
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: odc-by
language:
- ar
tags:
- Moroccan
- Arabic
- Datasets
- FineWeb2
pretty_name: MoroccanArabic
size_categories:
- 10M<n<100M
---

# FineWeb2 Moroccan Arabic


![image/png](https://cdn-uploads.huggingface.co/production/uploads/628f7a71dd993507cfcbe587/MMzGBk4D17eYiapypUOjk.png)

🇲🇦 This is the Moroccan Arabic Portion of The [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2#additional-information) Dataset.

🇲🇦 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. 

🇲🇦 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.**


## Purpose of This Repository

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.

By focusing on Arabic, I aim to:

- **Simplify Access**: Provide a direct and streamlined way to download the Arabic portion of the dataset without navigating through the larger collection.  
- **Promote Research**: Enable more efficient use of  Arabic text data for NLP, LLMs, and linguistic research.  
- **Empower the Community**: Support Arabic language processing and contribute to the growth of multilingual NLP capabilities.  
- **Encourage Collaboration**: Foster an environment where researchers and developers can build impactful applications using Arabic data.  


## Credit to the Original Work

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**.

### Citation

If you use this dataset, please cite it as follows:

```bibtex
@software{penedo2024fineweb-2,
  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},
  title = {FineWeb2: A sparkling update with 1000s of languages},
  month = dec,
  year = 2024,
  doi = {10.57967/hf/3744},
  url = {https://huggingface.co/datasets/HuggingFaceFW/fineweb-2}
}