README.md

---
license: creativeml-openrail-m
task_categories:
- text-classification
language:
- ar
tags:
- Tunizi
- arabic
size_categories:
- 1M<n<10M
---

![image/png](https://cdn-uploads.huggingface.co/production/uploads/62bc971ad2c8a6542f45d930/7EjSbamsvYpSRFKpCOcOt.png)

# TuniziBigBench: The Largest Open-Source Tunizi (Darija) Dataset

## Overview 

This dataset was created by scraping over 14,000 Tunisian YouTube videos, providing a rich repository of Tunisian language data. It covers a wide range of topics and text types, including politics, news, football, and more. The dataset is particularly valuable for training and fine-tuning natural language processing models specific to Tunisian Arabic and other local dialects.
We are working One 1B dataset stay tuned 

- **Curated by:** Nehdi Taha Mustapha & Oussama Sassi.
- **Contact:** https://www.linkedin.com/in/taha-mustapha-nehdi-240585203/ 
  
## Dataset Structure

The dataset is structured in the following way:
- **Fields:** The dataset contains fields for the text content

### Licensing
This dataset is released under the [CreativeML Open RAIL-M license](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE).

### Usage
```python
from datasets import load_dataset

# Load the dataset from Hugging Face
dataset = load_dataset('Nehdi/TuniziBigBench')

# Example: Print the first 5 entries from the dataset
for entry in dataset['train'][:5]:
    print(entry['text'])
```


### Citation
If you use this dataset in your research, please cite it as follows:
```
@dataset{TuniziBigBench,
  author = {Nehdi Taha Mustapha},
  title = {Tunizi Tunisian Dialectic Derja Dataset},
  year = {2025},
  url = {https://huggingface.co/datasets/Nehdi/TuniziBigBench}
}
```