TuniziBigBench / README.md
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metadata
license: creativeml-openrail-m
task_categories:
  - text-classification
language:
  - ar
tags:
  - Tunizi
  - arabic
size_categories:
  - 1M<n<10M

image/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

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.

Usage

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}
}