ddehun/k-viscuit
Dataset Card for K-Viscuit Dataset Details Dataset Description The K-Viscuit dataset is a Multi-Choice Visual Question Answering (VQA) dataset designed to evaluate Vision-Language Models (VLMs) on their understanding of Korean culture. The dataset was created through a Human-VLM collaboration and is part of the research presented in the paper: Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration, arXiv… See the full description on the dataset page: https://huggingface.co/datasets/ddehun/k-viscuit.
| Author / organization | ddehun |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 510 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 17 August 2024 |
| Last updated at source | 17 August 2024 |
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- 16 Oct 2026 Description: Dataset Card for K-Viscuit Dataset Details Dataset Description The K-Viscuit dataset is a Multi-Choice Visual Question Answering (VQA) dataset designed to evaluate Vision-Language Models (VLMs) on their understanding of Korean culture. The → Dataset Card for K-Viscuit Dataset Details Dataset Description The K-Viscuit dataset is a Multi-Choice Visual Question Answering (VQA) dataset designed to evaluate Vision-Language Models (VLMs) on their understanding of Korean culture. The
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