---
license: cc-by-4.0
task_categories:
- text-classification
- automatic-speech-recognition
- translation
language:
- wo
- fr
- en
pretty_name: WolBanking77
size_categories:
- 1K<n<10K
tags:
- arxiv:2509.19271
---

Intent classification models have made a lot of progress in recent years. However, previous studies primarily focus on high-resource languages datasets, which results in a gap for low-resource languages and for regions with a high rate of illiterate people where languages are more spoken than read or written. This is the case in Senegal, for example, where Wolof is spoken by around 90% of the population, with an illiteracy rate of 42% for the country. Wolof is actually spoken by more than 10 million people in West African region. 

To tackle such limitations, we release a Wolof Banking Speech Intent Classification Dataset (**WolBanking77**), for academic research in intent classification. WolBanking77 currently contains **9,791** text sentences in the **banking domain** and more than **4** hours of spoken sentences.

This dataset is suitable for :

- Customer Intent Detection
- Machine Translation in French & Wolof
- Automatic Speech Recognition in Wolof
- Comparing different machine learning models for Intent Classification

# **Dataset Content**:
- **text** dir - Contains text dataset
- **audio** dir - Contains audio dataset
- **train.csv** – Text Training dataset (includes label target)
- **test.csv** – Text Test dataset (no label target)
- **train.parquet** - Audio Training dataset
- **test.parquet** - Audio Test dataset
- **questions.csv** - Customer queries
- **responses.csv** - Bot responses

### **Target Variable**:

- **label**→ The client intent

### **Features**:

- `input` – Client’s query in English (text)
- `input_fr` – Client’s query in French (text)
- `input_wo` – Client’s query in Wolof (text)
- `label` – Client's Intent (categorical)

# **License**
**CC BY 4.0** – Open for public use.

# **Inspiration**
- Can you predict the client intent?
- How well do different machine learning models perform on this classification task?

# Citation

To cite this work, please use the following reference:

```bibtex
@inproceedings{
    kandji2025wolbanking,
    title={WolBanking77: Wolof Banking Speech Intent Classification Dataset},
    author={Abdou Karim KANDJI and Frederic Precioso and Cheikh BA and Samba NDIAYE and Augustin NDIONE},
    booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
    year={2025},
    url={https://openreview.net/forum?id=7k0JBDeHAv}
}
```
```bibtex
@misc{
    kandji2025wolbanking77wolofbankingspeech,
    title={WolBanking77: Wolof Banking Speech Intent Classification Dataset}, 
    author={Abdou Karim Kandji and Frédéric Precioso and Cheikh Ba and Samba Ndiaye and Augustin Ndione},
    year={2025},
    eprint={2509.19271},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2509.19271}, 
}
```