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Datasets:
uvci
/
Koumankan_mt_dyu_fr

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
Bambara
French
Size:
10K - 100K
Libraries:
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metadata
dataset_info:
  features:
    - name: ID
      dtype: string
    - name: translation
      dtype:
        translation:
          languages:
            - dyu
            - fr
  splits:
    - name: train
      num_bytes: 727371
      num_examples: 8065
    - name: validation
      num_bytes: 135803
      num_examples: 1471
    - name: test
      num_bytes: 80949
      num_examples: 1393
  download_size: 687792
  dataset_size: 944123
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - translation
language:
  - bm
  - fr
pretty_name: Koumankan4dyula
size_categories:
  - 10K<n<100K

Koumankan4Dyula: Parallel Dyula - French Dataset for Machine Learning

Overview

The Koumankan4Dyula corpus consists of 10929 pairs of Dioula-French sentences. This corpus is part of the Koumankan project, which proposes a scalable and cost-effective method for extending the CommonVoice dataset to the Dyula language and other African languages.

Data Splits

Train 73% 8065
Valid 14% 1471
Test 13% 1393

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