All datasets / Hikaf143

Hikaf143/keural-v2-fluency

48 downloads in 30 days1 likesLast modified 13 Oct 2026View on Hugging Face

Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: other, from the tagEvidence: README.md at 752dfbe
Licence files: No licence file at the top level of the repositoryEvidence: file list at 752dfbe
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-generation

Citation text from the card

This is a mixed-license dataset. Each record carries its own `_source` and `_license` field; verify the applicable license before any commercial use of a given slice.

<div align="center">

| License | Sources |
|:---:|:---|
| CC BY 4.0 | `keural-conversation-ko`, Taskmaster-1, Taskmaster-2, Taskmaster-3 |
| MIT | `IkJun1/korean-qa-dataset` |
| Apache-2.0 | `coastral/korean-writing-style-instruct`, `CarrotAI/ko-instruction-dataset`, `OpenAssistant/oasst2`, MultiWOZ 2.2 |
| CC BY-SA 4.0 (share-alike) | `beomi/KoAlpaca-RealQA` |
| CC BY-SA 3.0 (share-alike) | `databricks/databricks-dolly-15k` |

</div>

**Share-alike notice.** Rows derived from `beomi/KoAlpaca-RealQA` and `databricks/databricks-dolly-15k` carry `_share_alike: true`. Any redistribution or relicensing of this slice must satisfy CC BY-SA's attribution and same-license-propagation terms.

**Gemma "Model Derivative" notice.** Rows derived from `keural-conversation-ko` — the largest single component of the Korean slice — were generated by Google's Gemma (`gemma-4-26B-A4B-it`). Under Section 3.1 of the Gemma Terms of Use, a model fine-tuned on Gemma-generated synthetic outputs is itself considered a Gemma "Model Derivative." **Anyone distributing a model fine-tuned on this dataset must**: (1) include a notice stating "Gemma is provided under and subject to the Gemma Terms of Use found at ai.google.dev/gemma/terms," and (2) incorporate the Gemma Prohibited Use Policy into that model's own terms of use. This obligation

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dataset_licence({ "id": "Hikaf143/keural-v2-fluency" })
signal: "unclear"
stated_licence: "other"
sources: 0