|
--- |
|
dataset_info: |
|
features: |
|
- name: dyu_id |
|
dtype: string |
|
- name: fr_id |
|
dtype: string |
|
- name: dyu |
|
dtype: string |
|
- name: fr |
|
dtype: string |
|
- name: en |
|
dtype: string |
|
- name: gender |
|
dtype: string |
|
- name: age_group |
|
dtype: int64 |
|
- name: duration |
|
dtype: float64 |
|
- name: sampling_rate |
|
dtype: int64 |
|
- name: country |
|
dtype: string |
|
- name: commonvoice_split |
|
dtype: string |
|
- name: audio |
|
dtype: |
|
audio: |
|
sampling_rate: 44100 |
|
splits: |
|
- name: train |
|
num_bytes: 3987571272.8 |
|
num_examples: 8065 |
|
- name: dev |
|
num_bytes: 949449909.48 |
|
num_examples: 1471 |
|
- name: test |
|
num_bytes: 918543551.584 |
|
num_examples: 1393 |
|
download_size: 4929377555 |
|
dataset_size: 5855564733.864 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: dev |
|
path: data/dev-* |
|
- split: test |
|
path: data/test-* |
|
task_categories: |
|
- automatic-speech-recognition |
|
- translation |
|
language: |
|
- bm |
|
size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
|
# Koumankan4Dyula: A Speech-To-Text Translation Corpus For Dyula Language |
|
|
|
## Overview |
|
The Koumankan4Dyula corpus consists of approximately 15 hours i.e. 10,929 recordings of Dioula language audio along with the corresponding texts and their translations into French and English. |
|
Dioula is a low-resource language spoken by over 16.4 million people in several West African countries. |
|
This corpus is part of the Koumankan project, which offers a scalable and cost-effective method to expand the CommonVoice dataset to include the Dyula language and other African languages. |
|
It will serve as a benchmark for training models for automatic speech translation in Dioula as well as for automatic speech recognition or machine translation models from Dioula to French and English. |
|
## Data Splits |
|
| split |percentage|Nm. records| Num hour | |
|
|:-----:|:--------:|----------:|---------:| |
|
| Train | 73% | 8065 | 8h 9m | |
|
| Valid | 14% | 1471 | 1h 36m | |
|
| Test | 13% | 1393 | 44m 36s | |
|
|| |
|
|
|
### Maintenance |
|
|
|
* This dataset is supposed to be actively maintained. |
|
|
|
### Benchmarks: |
|
|
|
- `Coming soon` |
|
|
|
|
|
## License |
|
|
|
- `CC-BY-SA-4.0` |
|
|
|
## Version |
|
|
|
- `1.0.0` |
|
|
|
## Acknowledgements |
|
|
|
This dataset collection efforts have been supported by International Development Research Centre (IDRC) and Swedish International Development Cooperation Agency (SIDA), |
|
managed by African Center for Technology Studies (ACTS) in collaboration with the Université Virtuelle de Côte d'Ivoire (UVCI) through the programme Artificial Intelligence for Development (AI4D) Africa. |
|
|
|
## Contacts |
|
- `[email protected]` |
|
- `[email protected]` |