Elyadata/SLURP-TN

SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding

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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

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• —Curated by: Haroun Elleuch
• —Shared by [optional]: Fethi Bougares
• —Language(s) (NLP) : Tunisian Arabic
• —License: CC BY-NC-ND 4.0 license

Enjoy using this data set for research-only activities 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"
}