Update README.md

README.md

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+# 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"
+}
+```