Update README.md

README.md

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     path: data/test-*
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+
+
+# SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
+
+
+<!-- Provide a quick summary of the dataset. -->
+
+Contact person : fethi.bougares@elyadata.com 
+
+Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user
+queries. It is a core component in a task-oriented dialogue system. With the spectacular progress of deep neural
+network models and the evolution of pre-trained language models, SLU has obtained significant breakthroughs.
+However, only a few high-resource languages have taken advantage of this progress due to the absence of SLU
+resources. In this paper, we seek to mitigate this obstacle by introducing SLURP-TN. This dataset was created by
+recording 55 native speakers uttering sentences in Tunisian dialect, manually translated from six SLURP domains.
+The result is an SLU Tunisian dialect dataset that comprises 4165 sentences recorded into around 5 hours of acoustic
+material. We also develop a number of Automatic Speech Recognition and SLU models exploiting SLUTP-TN.
+
+
+## Paper 
+ https://arxiv.org/pdf/2603.21940
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+
+- **Curated by:**  elyadata
+- **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{slurptn,
+    title = "{SLURP-TN} : {R}esource for {T}unisian {D}ialect {S}poken {L}anguage {U}nderstanding",
+    author = "Haroun Elleuch and Salima Mdhaffar and Yannick Estève and Fethi Bougares",
+    booktitle = "LREC",
+    month = mai,
+    year = "2026",
+    address = "Mallorca, Spain"
+}
+```