ko-gpqa is a Korean-translated version of the GPQA (Graduate-Level Google‑Proof Q&A) benchmark dataset, which consists of high-difficulty science questions. Introduced in this paper, GPQA is designed to go beyond simple fact retrieval and instead test an AI system’s ability to perform deep understanding and logical reasoning. It is particularly useful for evaluating true comprehension and inference capabilities in language models.
The Korean translation was performed using… See the full description on the dataset page:
https://huggingface.co/datasets/davidkim205/ko-gpqa.