KOpen

When this dataset fits

KOpen is a Korean Translation Dataset from Hugging Face. It fits the korean translation dataset task. Do not mix it with a benchmark download. License label MIT. Size text is “중용량”, copied from the host.

Open 2 catalog excerpts →

Task / category

Text · Text · coding, logic, Hermes, translation

Language

Korean

Format · Size

Text · Medium (60K)

License

MIT(Catalog verified) · License document

Source & original link

Hugging Face · Original dataset link(Verified)

Verification status

Source: Verified · License: Verified · Last checked: 2026-09-03

KOpen: Korean Translation Dataset from Hugging Face. License MIT. Open the original link to download.

KOpen (2024). Hugging Face. license label: MIT catalog commercial mark: allowed Original: https://huggingface.co/datasets/MarkrAI/KOpen-HQ-Hermes-2.5-60K. GearDel catalog: https://geardel.com/en/datasets/kopen-hq-hermes-2-5-60k. Last checked: 2026-09-03. Author names are not stored in the GearDel catalog and are not invented here.

Differences below use catalog fields only: license, commercial mark, provider, size text, and year.

• GSM8KKorean Translation Dataset · Hugging FaceViewSize text differs (Medium vs 4.8MB). Those strings are copied from the hosts. Catalog years differ (2024 vs 2023).
• TinyStoriesKorean Translation Dataset · Hugging FaceViewSize text differs (Medium vs Large). Those strings are copied from the hosts.
• Jejueo JIT JSSKorean Translation Dataset · GitHubViewLicense labels differ (MIT vs Apache 2.0). Providers differ (Hugging Face vs GitHub). Catalog years differ (2024 vs 2020).
• SNU Ko-MuSRKorean LLM Benchmark Dataset · Hugging Face (thunder-research-group)ViewProviders differ (Hugging Face vs Hugging Face (thunder-research-group)). Size text differs (Medium vs Small). Those strings are copied from the hosts. Catalog years differ (2024 vs 2026).

EXCERPTS

Catalog excerpts

2 stored samples. GearDel does not host the original files.

Open this row in Try samples →

숫자 배열이 주어졌을 때 짝수들만 골라 제곱한 값들의 총합을 반환하는 파이썬 함수를 작성해 줘.

def sum_of_even_squares(numbers):
    return sum(x**2 for x in numbers if x % 2 == 0)