Atlaset / README.md
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---
dataset_info:
features:
- name: dataset_source
dtype: string
- name: text
dtype: string
- name: metadata
dtype: string
- name: token_count
dtype: int64
- name: word_count
dtype: int64
splits:
- name: train
num_bytes: 2382937954
num_examples: 1171515
- name: test
num_bytes: 592628
num_examples: 2683
download_size: 1125948332
dataset_size: 2383530582
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
language:
- ary
- ar
size_categories:
- 1M<n<10M
---
# Atlaset: A Curated Dataset of Moroccan Darija
This dataset is a comprehensive, carefully curated collection of text data specifically for Moroccan Darija, the Arabic dialect spoken in Morocco. It combines various sources to provide a diverse and accurate representation of the language.
This dataset was curated by [Abdelaziz Bounhar](https://huggingface.co/BounharAbdelaziz) and is particularly suited for tasks such as:
- Learning word embeddings for Moroccan Darija
- Training NLP models for tasks like language modeling, text generation (Pretraining large language models (LLMs) for instance), and more
As of today, the total **number of tokens** (using [Jais-13B](https://huggingface.co/inceptionai/jais-13b))is:
- For the *training* set: **155,501,098** tokens.
- For the *test* set: **19,187** tokens.
## Features
- **Textual Data**: The dataset contains a rich collection of text, including social media posts, news articles, and more, providing a diverse range of language use.
- **Language Variety**: The dataset spans various registers, capturing both formal and informal expressions across different domains.
# Data Sources
## Training
| Training Dataset Source | Count |
|--------------------------------------------------------------------------|-----------|
| atlasia/moroccan_darija_domain_classifier_dataset | 188,777 |
| goud-sum | 158,277 |
| NQ-Open-AYA | 136,780 |
| sharegpt | 125,488 |
| cot | 94,430 |
| MTCD | 58,629 |
| atlasia/Social_Media_Darija_DS/facebook_comments | 55,647 |
| flan_v2 | 37,746 |
| wizardlm | 37,577 |
| sawalni-ai/fw-darija | 37,352 |
| gpt4_alpaca | 36,211 |
| aboutaleb/moroccantourism | 30,433 |
| MArSum | 24,229 |
| common-crawl | 19,128 |
| oasst1 | 17,657 |
| atlasia/DODa-audio-dataset-V3 | 11,517 |
| tachicart/mo_darija_merged | 11,496 |
| medmac01/moroccan_history_qa | 11,156 |
| atlasia/Social_Media_Darija_DS/default | 10,678 |
| Lyte/Darija-QA | 10,439 |
| atlasia/Moroccan-Darija-Wiki-Dataset | 9,460 |
| DarijaBridge | 6,587 |
| Darija-Stories-Dataset | 6,142 |
| dataset_dyal_darija | 5,306 |
| moroccan_darija_wikipedia_dataset | 4,862 |
| abdeljalilELmajjodi/darija_qa_ds | 4,538 |
| MAC Corpus | 3,632 |
| atlasia/Social_Media_Darija_DS/facebook_uncleand_posts | 3,360 |
| atlasia/darija_english/stories | 2,961 |
| JasperV13/Darija_instruct | 1,683 |
| learnmoroccan.com | 1,673 |
| lima | 1,559 |
| ArabicDarija_xP3x | 997 |
| atlasia/darija_english | 867 |
| SoftAge-AI/sft-conversational_dataset | 792 |
| atlasia/Moroccan-Darija-Wiki-Audio-Dataset | 551 |
| loecsen.com | 428 |
| auto-math | 415 |
| abdeljalilELmajjodi/darija_topic_ds | 384 |
| stanford | 352 |
| bourbouh/moroccan-darija-youtube-subtitles | 335 |
| darija_speech_to_text | 322 |
| darija_youtube_subtitles | 247 |
| translation-rows | 246 |
| wikihow | 140 |
| atlasia/facebook_darija_dataset | 18 |
| ML101 | 7 |
| DarijaEnglish-xP3x | 3 |
| abdeljalilELmajjodi/abdeljalil_darija_classification_ds | 1 |
## Test
| Test Dataset Source | Count |
|--------------------------------|-------|
| tachicart/mo_darija_merged | 1,799 |
| atlasia/TerjamaBench | 830 |
| MAC Corpus | 54 |
## Citation
```bibtex
@misc{bounhar2025atlaset,
title = {Atlaset: A Moroccan Darija Text Corpus},
author = {Abdelaziz Bounhar},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/atlasia/Atlaset/}}
}
```
## Acknowledgments
Special thanks to [Abdeljalil El Majjodi](https://huggingface.co/abdeljalilELmajjodi) for his contribution.
We would like to extend our sincere thanks and appreciation to all the contributors and members of the Moroccan AI community who provided these valuable datasets. Their efforts in gathering, curating, and sharing this data have been crucial in making this resource possible. Special thanks to the individuals and organizations behind each dataset for their commitment to advancing research and development in Moroccan Darija. Your contributions are deeply appreciated.
## Contribution
We welcome contributions to improve and expand the dataset. If you have additional text resources in Moroccan Darija or suggestions for improvements, feel free to submit a pull request.