All datasets / LyngualLabs
LyngualLabs/Nigerian-Language-Exams-VQA
The declared licence (cc-by-nc-4.0) is classified as having use restrictions.
- Declared licence
- cc-by-nc-4.0, from the tagEvidence: README.md at 971f28a
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 971f28a
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
If you use this dataset in your research, please cite:
```bibtex
@inproceedings{olufemi-etal-2025-challenging,
title = "Challenging Multimodal {LLM}s with {A}frican Standardized Exams: A Document {VQA} Evaluation",
author = "Olufemi, Victor Tolulope and
Babatunde, Oreoluwa Boluwatife and
Bolarinwa, Emmanuel and
Moshood, Kausar Yetunde",
editor = "Lignos, Constantine and
Abdulmumin, Idris and
Adelani, David",
booktitle = "Proceedings of the Sixth Workshop on African Natural Language Processing (AfricaNLP 2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.africanlp-1.22/",
doi = "10.18653/v1/2025.africanlp-1.22",
pages = "150--157",
ISBN = "979-8-89176-257-2",
abstract = "Despite rapid advancements in multimodal large language models (MLLMs), their ability to process low-resource African languages in document-based visual question answering (VQA) tasks remains limited. This paper evaluates three state-of-the-art MLLMs{---}GPT-4o, Claude-3.5 Haiku, and Gemini-1.5 Pro{---}on WAEC/NECO standardized exam questions in Yoruba, Igbo, and Hausa. We curate a dataset of multiple-choice questions from exam images and compare model accuracies across two prompting strategies: (1) using English prompts for African language questions, and (2) using native-language prompts. While GPT-4o achieves over 9
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "LyngualLabs/Nigerian-Language-Exams-VQA" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0