dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
- name: translation
dtype: string
splits:
- name: train
num_bytes: 1860220089.046
num_examples: 7797
- name: validation
num_bytes: 113359341
num_examples: 693
- name: test
num_bytes: 95597400
num_examples: 701
download_size: 1730091203
dataset_size: 2069176830.046
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
TUNIFRA: A Tunisian Arabic Speech Corpus with Orthographic Transcriptions and French Translations
Contact person : fethi.bougares@elyadata.com
We introduce TUNIFRA, a novel and comprehensive corpus developed to advance research in Automatic Speech Recognition (ASR) and Speech-to-Text Translation (STT) for Tunisian Arabic, a notably low-resourced language variety. The TUNIFRA corpus comprises 15 hours of native Tunisian Arabic speech, carefully transcribed and manually translated into French. While the development of ASR and STT systems for major languages is supported by extensive datasets, low-resource languages such as Tunisian Arabic face significant challenges due to limited training data, particularly for speech technologies. TUNIFRA addresses this gap by offering a valuable resource tailored for both ASR and STT tasks in the Tunisian dialect. We describe our methodology for data collection, transcription, and annotation, and present initial baseline results for both Tunisian Arabic speech recognition and Tunisian Arabic–French speech translation.
Paper
https://aclanthology.org/2025.arabicnlp-main.5.pdf
Dataset Description
- Curated by: Fethi Bougares
- Shared by [optional]: Fethi Bougares
- Language(s) (NLP) : Tunisian Arabic
- License: CC BY-NC-ND 4.0 license
Enjoy using this data set and don't forget to cite the related paper :) Below the bibtext entry if you use this data set :
BibTeX:
@inproceedings{choux-etal-2025-tunifra,
title = "{T}uni{F}ra: A {T}unisian {A}rabic Speech Corpus with Orthographic Transcriptions and {F}rench Translations",
author = "Choux, Alex and Avila, Marko and Crego, Josep and Bougares, Fethi and Laurent, Antoine",
booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.arabicnlp-main.22/",
doi = "10.18653/v1/2025.arabicnlp-main.22",
pages = "278--287",
ISBN = "979-8-89176-352-4"
}