mair-lab/CulturalVQA
CulturalVQA Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on general scene understanding - recognizing objects, attributes, and actions - rather than cultural comprehension. We introduce CulturalVQA, a visual question-answering benchmark aimed at assessing VLM's geo-diverse cultural understanding. We curate… See the full description on the dataset page: https://huggingface.co/datasets/mair-lab/CulturalVQA.
| Author / organization | mair-lab |
|---|---|
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 6 November 2024 |
| Last updated at source | 11 November 2025 |
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- 17 Oct 2026 Description: CulturalVQA Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on gene → CulturalVQA Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on gene
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