mlsanityData to 7 Oct 2026

HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language

arXiv 2305.17690 ↗First posted 28 May 2023cs.CLcited by 12

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Abstract (arXiv)

This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually translating 6,022 English question-answer pairs, which are associated with 1,555 unique images from the Visual Genome dataset. As a result, the dataset provides 12,044 gold standard English-Hausa parallel sentences that were translated in a fashion that guarantees their semantic match with the corresponding visual information. We conducted several baseline experiments on the dataset, including visual question answering, visual question elicitation, text-only and multimodal machine translation.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 42 of its 69 references that are in the map. First posted on arXiv 28 May 2023.

Builds on

42 of 69 references.

References · 42

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30 more
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Citing papers per year: 2024: 2; 2025: 6; 2026: 4.

12 papers.