Datasets:
dataset_info:
features:
- name: text
dtype: string
- name: id
dtype: string
- name: dump
dtype: string
- name: url
dtype: string
- name: date
dtype: string
- name: file_path
dtype: string
- name: language
dtype: string
- name: language_score
dtype: float64
- name: language_script
dtype: string
- name: minhash_cluster_size
dtype: int64
- name: top_langs
dtype: string
splits:
- name: train
num_bytes: 771330045
num_examples: 262884
- name: test
num_bytes: 6572728
num_examples: 2333
download_size: 330053892
dataset_size: 777902773
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
language:
- aeb
tags:
- fineweb2
- dataset
- Arabic
- Tunisian
license: odc-by
This is the Tunisian Arabic Portion of The FineWeb2 Dataset.
This dataset contains a rich collection of text in Tunisian Arabic (ISO 639-3: aeb), a widely spoken dialect within the Afro-Asiatic language family.
It serves as a valuable resource for NLP development and linguistic research focused on Tunisian Arabic.
Purpose of This Repository
This repository provides easy access to the Arabic portion - Tunisian 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, with additional usage subject to CommonCrawl's Terms of Use..
Citation
If you use this dataset, please cite it as follows:
@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}
}