LIMA

When this dataset fits

LIMA is a Korean Instruction Tuning Dataset from Hugging Face. It fits instruction tuning, not long-document pretraining. License label CC BY-NC-SA 4.0. Size text is “소용량”, copied from the host.

Open 2 catalog excerpts →

Task / category

Text · Text · LIMA, SFT

Language

Korean

Format · Size

Text · Small (1K)

License

CC BY-NC-SA 4.0(Catalog verified) · License document

Source & original link

Hugging Face · Original dataset link(Verified)

Verification status

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

LIMA: Korean Instruction Tuning Dataset from Hugging Face. License CC BY-NC-SA 4.0. Open the original link to download.

LIMA (2023). Hugging Face. license label: CC BY-NC-SA 4.0 catalog commercial mark: allowed Original: https://huggingface.co/datasets/taeshahn/ko-lima. GearDel catalog: https://geardel.com/en/datasets/ko-lima. 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.

• Korean Instruction Tuning DatasetKorean Instruction Tuning Dataset · Hugging FaceViewLicense labels differ (CC BY-NC-SA 4.0 vs MIT). Size text differs (Small vs Large). Those strings are copied from the hosts.
• Ko-LlamaKorean Instruction Tuning Dataset · Hugging FaceViewLicense labels differ (CC BY-NC-SA 4.0 vs Apache 2.0). Size text differs (Small vs Large). Those strings are copied from the hosts.
• KoAlpaca v1.0 AlpacaKorean Instruction Tuning Dataset · Hugging FaceViewLicense labels differ (CC BY-NC-SA 4.0 vs CC BY-NC 4.0). Commercial marks differ (Commercial use allowed (catalog) vs Commercial use may be conditional). Size text differs (Small vs 8.1MB). Those strings are copied from the hosts.
• QARVKorean Instruction Tuning Dataset · Hugging FaceViewLicense labels differ (CC BY-NC-SA 4.0 vs MIT). Size text differs (Small vs Medium). Those strings are copied from the hosts. Catalog years differ (2023 vs 2024).

EXCERPTS

Catalog excerpts

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

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소설 집필 시 독자의 시선을 즉시 잡아끄는 오프닝 문장의 비결 2가지를 알려주세요.

1. 의도적으로 정보 일부를 감춰 독자에게 궁금증을 유발하기
2. 주인공이 예상치 못한 긴급한 상황에 즉각 직면하게 하기