| --- |
| dataset_info: |
| features: |
| - name: audio |
| dtype: audio |
| - name: tun_transcription |
| dtype: string |
| - name: tun_slu_annoation |
| dtype: string |
| - name: eng_slu_annotation |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 322907160.421 |
| num_examples: 2677 |
| - name: validation |
| num_bytes: 84983675.0 |
| num_examples: 595 |
| - name: test |
| num_bytes: 121863417.0 |
| num_examples: 893 |
| download_size: 335804926 |
| dataset_size: 529754252.421 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: validation |
| path: data/validation-* |
| - split: test |
| path: data/test-* |
| --- |
| |
|
|
| # 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:** 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" |
| } |
| ``` |
|
|
