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datumo/KorSET

Name: datumo/KorSET
Creator: datumo
Published: 2026-02-03T08:48:26
License: https://creativecommons.org/licenses/by-nc/4.0/

published by @datumo

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

188

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Size

1.5 MB

Created on HF

2026-02-03

Age

8 months ago

Description

KorSET — Korean Red-teaming Safety Evaluation Benchmark

소유자: DATUMO AI Safety Team

작성일: 2026-09-11

상태: active

대상리소스그룹: Public (academic / safety research)

⚠️ WARNING: 본 데이터셋은 LLM 안전성 평가를 위한 의도적으로 적대적(adversarial)인 레드팀 프롬프트를 포함하며, 불쾌하거나 유해하게 느껴질 수 있는 표현이 포함되어 있습니다. 학술 및 안전성 연구 목적으로만 사용해야 합니다.

KorSET은 CAGE (Culturally Adaptive GEneration) 프레임워크로 구축된 문화 적응형 한국어 레드팀 안전성 평가 벤치마크입니다. 영어 레드팀 벤치마크를 단순 번역하는 대신, 프롬프트의 적대적 의도(구조) 를 보존하면서 한국의 언어·문화·법률 맥락에 맞게 재구성하여, 국내 환경에 실재하는 사회·기술적… See the full description on the dataset page: https://huggingface.co/datasets/datumo/KorSET.

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 2 threads · 1 open · 2 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

2026-09-11PRAdd dataset card based on CAGE (ICLR 2026) Co-Authored-By: Claude Opus 4.8 <no…merged1 💬#2
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2026-02-04[bot] Conversion to Parquetopen1 💬#1
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Metadata

License

cc-by-nc-4.0

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)

from datasets import load_dataset
ds = load_dataset("datumo/KorSET")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="datumo/KorSET", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/datumo/KorSET

Browse repository on Hugging Face ->