task_categories:text-generation language:ar license:cc-by-nc-4.0 region:us
---
dataset_info:
  features:
  - name: ChapterName
    dtype: string
  - name: ChapterLink
    dtype: string
  - name: Author
    dtype: string
  - name: Text
    dtype: string
  - name: Tags
    dtype: int64
  splits:
  - name: train
    num_bytes: 476926644
    num_examples: 6142
  download_size: 241528641
  dataset_size: 476926644
license: cc-by-nc-4.0
task_categories:
- text-generation
language:
- ar
pretty_name: Darija (Moroccan Arabic) Stories Dataset

---

# Dataset Card for "Darija-Stories-Dataset"

**Darija (Moroccan Arabic) Stories Dataset is a large-scale collection of stories written in Moroccan Arabic dialect (Darija).**

## Dataset Description

Darija (Moroccan Arabic) Stories Dataset contains a diverse range of stories that provide insights into Moroccan culture, traditions, and everyday life. The dataset consists of textual content from various chapters, including narratives, dialogues, and descriptions. Each story chapter is associated with a URL link for online reading or reference. The dataset also includes information about the author and tags that provide additional context or categorization.

## Dataset Details

- **Homepage:** https://huggingface.co/datasets/Ali-C137/Darija-Stories-Dataset
- **Author:** Elfilali Ali
- **Email:** ali.elfilali00@gmail.com, alielfilali0909@gmail.com
- **Github Profile:** [https://github.com/alielfilali01](https://github.com/alielfilali01)
- **LinkedIn Profile:** [https://www.linkedin.com/in/alielfilali01/](https://www.linkedin.com/in/alielfilali01/)

## Dataset Size

The Darija (Moroccan Arabic) Stories Dataset is the largest publicly available dataset in Moroccan Arabic dialect (Darija) to date, with over 70 million tokens.

## Potential Use Cases

- **Arabic Dialect NLP:** Researchers can utilize this dataset to develop and evaluate NLP models specifically designed for Arabic dialects, with a focus on Moroccan Arabic (Darija). Tasks such as dialect identification, part-of-speech tagging, and named entity recognition can be explored.
- **Sentiment Analysis:** The dataset can be used to analyze sentiment expressed in Darija stories, enabling sentiment classification, emotion detection, or opinion mining within the context of Moroccan culture.
- **Text Generation:** Researchers and developers can leverage the dataset to generate new stories or expand existing ones using various text generation techniques, facilitating the development of story generation systems specifically tailored for Moroccan Arabic dialect.

## Dataset Access

The Darija (Moroccan Arabic) Stories Dataset is available for academic and non-commercial use, under a Creative Commons Non Commercial license.

## Citation

Please use the following citation when referencing the Darija (Moroccan Arabic) Stories Dataset:

```
@dataset{ 
title = {Darija (Moroccan Arabic) Stories Dataset},
author = {Elfilali Ali},
howpublished = {Dataset},
url = {https://huggingface.co/datasets/Ali-C137/Darija-Stories-Dataset},
year = {2023},
}
```
