---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: text
    dtype: string
  - name: gender
    dtype: string
  splits:
  - name: train
    num_bytes: 4274917077.83
    num_examples: 36009
  - name: test
    num_bytes: 475541653.87
    num_examples: 4001
  download_size: 4571561616
  dataset_size: 4750458731.7
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: cc-by-4.0
task_categories:
- text-to-speech
language:
- wo
pretty_name: woloftts
size_categories:
- 10K<n<100K
---
# Wolof TTS
## Dataset Description
This is a [Wolof](https://en.wikipedia.org/wiki/Wolof_language) Text To Speech (TTS) dataset collected by [Baamtu Datamation](https://baamtu.com/) as part of the [AI4D African language program](https://k4all.org/project/language-dataset-fellowship/). 
The original dataset is hosted on [Zenodo](https://zenodo.org/records/4498861#.YXU2A3X7R-M) and it contains recordings from two (02) natif Wolof speakers (a `male` and `female` voice). Each speaker recored __more than 20,000 sentences__.

### Speaking time:

    -- Male: 22h 28mn 41s
    -- Female: 18h 47mn 19s

The text dataset comes from _news websites_, _Wikipedia_ and _self curated text_.

## Citation
You can access the project paper at https://arxiv.org/abs/2104.02516.  
If you work on the dataset, please cite the authors below.
```
@dataset{thierno_ibrahima_diop_2021_4498861,
  author       = {Thierno Ibrahima Diop and
                  Demba AW and
                  Ami jaane and
                  Mamadou Badiane},
  title        = {WOLOF TTS(Text To Speech) Data},
  month        = feb,
  year         = 2021,
  publisher    = {Zenodo},
  version      = 1,
  doi          = {10.5281/zenodo.4498861},
  url          = {https://doi.org/10.5281/zenodo.4498861}
}
```
This dataset was made available on HuggingFace through [GalsenAI](https://galsen.ai/)'s mission to strengthen Senegal's AI ecosystem. It was cleaned and structured by [Derguene Mbaye](https://huggingface.co/derguene), then uploaded and documented by [Alwaly Ndiaye](https://huggingface.co/Alwaly).