NCSOFT/K-SEED

K-SEED We introduce K-SEED, a Korean adaptation of the SEED-Bench [1] designed for evaluating vision-language models. By translating the first 20 percent of the test subset of SEED-Bench into Korean, and carefully reviewing its naturalness through human inspection, we developed a novel robust evaluation benchmark specifically for Korean language. K-SEED consists of questions across 12 evaluation dimensions, such as scene understanding, instance identity, and instance attribute… See the full description on the dataset page: https://huggingface.co/datasets/NCSOFT/K-SEED.

<iframe src="https://silytics.si/embed/item/571bb5c0-8dec-4b4c-bbb3-57de4f47f967" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.