Nigerian Language Exams VQA Dataset

Domaine:

natural language processingeducation

Type de record:

dataset

Créateur:

Lyn

Hôte:

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.

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Challenging Multimodal LLM with African Standardized Exams: A Document VQA Evaluations

Despite rapid advancements in multimodal large language models (MLLMs), their ability to process low

Nigerian Sign Language (NSL) Alphanumeric Dataset

The Nigerian Sign Language (NSL) Alphanumeric Dataset is an annotated computer vision dataset create

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The recent employment and eventual widespread acceptance of electronic test in examining students an

BosunL/SEA-VQA

We evaluate six VQA models on a locally curated dataset of Kenyan cultural images and questions in S

Bronsn/arabic-darija-vqa

A bilingual Visual Question Answering dataset for Arabic Darija (Moroccan dialect), featuring 877 cu

Nigerian Language Exams VQA Dataset

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