AI4D -- African Language Dataset Challenge
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Abstract (arXiv)
As language and speech technologies become more advanced, the lack of fundamental digital resources for African languages, such as data, spell checkers and Part of Speech taggers, means that the digital divide between these languages and others keeps growing. This work details the organisation of the AI4D - African Language Dataset Challenge, an effort to incentivize the creation, organization and discovery of African language datasets through a competitive challenge. We particularly encouraged the submission of annotated datasets which can be used for training task-specific supervised machine learning models.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2020.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1; 2025: 0; 2026: 2.
5 papers.
- 2021AI4D -- African Language Programcited by 18
- 2021OkwuGb'e: End-to-End Speech Recognition for Fon and Igbocited by 13
- 2024Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialectscited by 11
- 2026Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communitiescited by 1
- 2026The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraintscited by 0
- 2026The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints18 May 2026
- 2026Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities5 May 2026
- 2024Voices Unheard: NLP Resources and Models for Yor`ub'a Regional Dialects27 Jun 2024
- 2021AI4D -- African Language Program6 Apr 2021
- 2021OkwuGb'e: End-to-End Speech Recognition for Fon and Igbo13 Mar 2021