ko

When this dataset fits

ko is a Korean QA Dataset from GitHub. It fits the korean qa dataset task. Do not mix it with a benchmark download. License label Apache 2.0. Size text is “18.5MB”, copied from the host.

Open 2 catalog excerpts →

Task / category

Text · Text ·

Language

Korean

Format · Size

Text · 18.5MB (11K)

License

Apache 2.0(Catalog verified) · License document

Source & original link

GitHub · Original dataset link(Verified)

Verification status

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

ko: Korean QA Dataset from GitHub. License Apache 2.0. Open the original link to download.

ko (2020). GitHub. license label: Apache 2.0 catalog commercial mark: allowed Original: https://github.com/google-research-datasets/tydiqa. GearDel catalog: https://geardel.com/en/datasets/tydi-qa-ko. 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.

• koKorean NLP Dataset · GitHubViewLicense labels differ (Apache 2.0 vs Other). Commercial marks differ (Commercial use allowed (catalog) vs Commercial use may be conditional). Size text differs (18.5MB vs 5.1MB). Those strings are copied from the hosts.
• Korean Summarization DatasetKorean Summarization Dataset · Hugging FaceViewLicense labels differ (Apache 2.0 vs CC BY-SA 4.0). Providers differ (GitHub vs Hugging Face). Size text differs (18.5MB vs Medium). Those strings are copied from the hosts.
• Korean Pretraining CorpusKorean Pretraining Corpus · Hugging FaceViewLicense labels differ (Apache 2.0 vs CC BY-SA 4.0). Commercial marks differ (Commercial use allowed (catalog) vs Commercial use may be conditional). Providers differ (GitHub vs Hugging Face).
• Korean NLP DatasetKorean NLP Dataset · GitHubViewSize text differs (18.5MB vs Medium). Those strings are copied from the hosts. Catalog years differ (2020 vs 2023).

EXCERPTS

Catalog excerpts

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

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