| | --- |
| | 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: 113359341.0 |
| | num_examples: 693 |
| | - name: test |
| | num_bytes: 95597400.0 |
| | 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 |
| |
|
| |
|
| | <!-- Provide a quick summary of the dataset. --> |
| |
|
| | 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 |
| |
|
| | <!-- Provide a longer summary of what this dataset is. --> |
| |
|
| |
|
| | - **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" |
| | } |
| | ``` |
| |
|
