File size: 1,184 Bytes
e960744 b7104c9 e960744 b7104c9 f7ae942 b7104c9 f7ae942 e79c02e f7ae942 8138b2a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 |
---
language:
- ko
license: apache-2.0
size_categories:
- n<1K
task_categories:
- visual-question-answering
- question-answering
- image-text-to-text
---
# About this data
[KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language](https://huggingface.co/papers/2503.23730)
KOFFVQA is a general-purpose VLM benchmark in the Korean language. For more information, refer to [our leaderboard page](https://huggingface.co/spaces/maum-ai/KOFFVQA-Leaderboard) and the official [evaluation code](https://github.com/maum-ai/KOFFVQA).
This contains the data for the benchmark consisting of images, their corresponding questions, and response grading criteria. The benchmark focuses on free-form visual question answering, evaluating the ability of large vision-language models to generate comprehensive and accurate text responses to questions about images.
## Citation
```
@article{kim2025koffvqa,
title={KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language},
author={Kim, Yoonshik and Jung, Jaeyoon},
journal={arXiv preprint arXiv:2503.23730},
year={2025}
}
``` |