metadata

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: Parallel Dyula - French Dataset for Machine Learning

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

ismael21.kone@uvci.edu.ci
info@data354.com