Guide
Korean AI dataset licenses in this catalog
This page compares license labels that already appear on GearDel. It is not a law firm memo. Counts are from the live catalog (286 datasets).
Start with the commercial mark, then the license string
161 rows are marked allowed, 120 conditional, 5 restricted. “Allowed” on GearDel means the catalog inferred a permissive path from the recorded license — not that your product is cleared. A CC BY-SA dataset can still be commercial in some readings and painful for closed models in others.
182 license fields are verified against the original. 87 still need a human pass. Treat needs-review rows as a sticky note, not a green light.
Labels that show up most often
| Label | Rows | How we read it here |
|---|---|---|
| MIT | 57 | Permissive in the usual MIT sense. Still open the original LICENSE file. |
| Apache 2.0 | 48 | Permissive with a patent grant. Confirm NOTICE files on the host. |
| CC BY-SA 4.0 | 26 | Share-alike. Derivatives often must stay under the same terms. |
| CC BY 4.0 | 12 | Attribution required. Not the same as CC BY-SA. |
| AI Hub terms | 92 | Not a Creative Commons license. Signup and AI Hub rules apply. |
| NIKL pledge | 7 | National Institute of Korean Language use pledge. Not OSI MIT. |
| Unlisted | 17 | Catalog does not claim a license. Do not assume it is open. |
AI Hub is not “free on the internet”
92 rows carry the AI Hub terms label. Those pages usually require an account, a purpose, and a separate agreement. Putting them next to MIT GitHub repos in one table is the point of GearDel — and also the trap, if you download as if they were Apache 2.0.
NIKL pledge rows (7) are similar: the corpus is public as a research resource, not a drop-in open-source package.
A short working order
- Read the GearDel license field and its verified/needs-review badge.
- Open the original host. If the README disagrees, trust the host.
- Only then decide training vs evaluation. Benchmarks with ND clauses are easy to misuse as train sets.
FAQ → · How to choose a dataset → · Korean dataset collection →