LyngualLabs/Nigerian-Language-Exams-VQA
Nigerian Language Exams VQA Dataset Dataset Summary The Nigerian Language Exams VQA Dataset is a curated benchmark designed to evaluate the Document Visual Question Answering (VQA) capabilities of Multimodal Large Language Models (MLLMs) in indigenous West African languages. It consists of 837 manually cropped images of multiple-choice questions from standardized Nigerian examinations (WAEC and NECO) spanning the years 2008 to 2024. This dataset addresses the… See the full description on the dataset page: https://huggingface.co/datasets/LyngualLabs/Nigerian-Language-Exams-VQA.
| Author / organization | LyngualLabs |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 151 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 March 2026 |
| Last updated at source | 20 March 2026 |
Popularity, last 5 days
151 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Nigerian Language Exams VQA Dataset Dataset Summary The Nigerian Language Exams VQA Dataset is a curated benchmark designed to evaluate the Document Visual Question Answering (VQA) capabilities of Multimodal Large Language Models (MLLMs) in → Nigerian Language Exams VQA Dataset Dataset Summary The Nigerian Language Exams VQA Dataset is a curated benchmark designed to evaluate the Document Visual Question Answering (VQA) capabilities of Multimodal Large Language Models (MLLMs) in
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.