Korean Pretraining Corpus

When this dataset fits

Korean Pretraining Corpus is a Korean Pretraining Corpus from Hugging Face. It is closer to pretraining corpora than to a single SFT stage. License label MIT still needs review. Size text is “소용량”, copied from the host.

Open 2 catalog excerpts →

Task / category

Text · Text ·

Language

Korean

Format · Size

Text · Small (8K)

License

MIT(Catalog hint — re-check original) · License document

Source & original link

Hugging Face · URL not verified

Verification status

Source: Unknown · License: Needs review · Last checked: 2026-09-03

Korean Pretraining Corpus: Korean Pretraining Corpus from Hugging Face. License MIT. Open the original link to download.

Korean Pretraining Corpus (2024). Hugging Face. license label: MIT catalog commercial mark: allowed Original URL is not stored on this catalog row. GearDel catalog: https://geardel.com/en/datasets/korean-idiom-dataset. 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 Summarization DatasetKorean Summarization Dataset · Hugging FaceViewLicense labels differ (MIT vs Apache 2.0). Size text differs (Small vs 44.4MB). Those strings are copied from the hosts. Catalog years differ (2024 vs 2023).
• Korean Sentiment Analysis DatasetKorean Sentiment Analysis Dataset · Hugging FaceViewCatalog years differ (2024 vs 2023).
• Korean Instruction Tuning DatasetKorean Instruction Tuning Dataset · Hugging FaceViewSize text differs (Small vs Large). Those strings are copied from the hosts. Catalog years differ (2024 vs 2023).
• Korean NLP DatasetKorean NLP Dataset · Hugging FaceViewSize text differs (Small vs Large). Those strings are copied from the hosts. Catalog years differ (2024 vs 2021).

EXCERPTS

Catalog excerpts

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

Open this row in Try samples →

철수는 발이 넓어서 동창회뿐만 아니라 타 대학 동아리 친구들까지 모르는 사람이 없다.

발이 넓다 -> 인맥이 넓고 사교성이 좋아 아는 사람이 매우 많다