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Datasets:
PoSTMEDIA
/
rosetta-ko-heritage-synth-cpt

Tasks:
Text Generation
Languages:
Korean
Size:
100K<n<1M
Tags:
korean
Synthetic
rosetta
heritage
cpt
culture
License:
Dataset card Data Studio Files
xet
 Community

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rosetta-ko-heritage-synth-cpt

Korean cultural-heritage data grounded in public heritage records β€” a cleaned CPT corpus plus source-grounded QA/preference/RLVR sets.

Synthetic data generated with the Qwen3.6-27B teacher model β€” part of the Rosetta-KO suite for the Rosetta Korean LLM (PoSTMEDIA).

Cultural Heritage Suite

Sibling datasets from the same pipeline (each a separate repo):

repo format
rosetta-ko-heritage-synth-cpt (this repo) continued-pretraining corpus (plain text)
rosetta-ko-heritage-synth-sft supervised fine-tuning (user/assistant messages)
rosetta-ko-heritage-synth-sft-think reasoning SFT (<think> chain-of-thought)
rosetta-ko-heritage-synth-dpo preference pairs (chosen/rejected)
rosetta-ko-heritage-synth-dpo-think reasoning preference pairs
rosetta-ko-heritage-synth-rlvr reinforcement-learning-with-verifiable-reward rows

Data Fields 

{"text": "...", "source": "...", "license": "...", "url": "...",
 "accessed": "...", "id": "...", "meta": {}}
  • text β€” cleaned Korean source-unit body (continued-pretraining input)
  • source / url / accessed β€” provenance of the public-data unit
  • license β€” upstream license of the source unit
  • meta β€” domain metadata (free-form object)

Usage 

from datasets import load_dataset
ds = load_dataset("PoSTMEDIA/rosetta-ko-heritage-synth-cpt", split="train")

License

Released under the Apache License 2.0.

Source (Korean public data, KOGL Type 1):

Citation 

@misc{rosetta_ko_heritage_synth,
  title  = {Rosetta-KO Cultural Heritage Synthetic Dataset},
  author = {PoSTMEDIA},
  year   = {2026},
  howpublished = {Hugging Face: PoSTMEDIA/rosetta-ko-heritage-synth-cpt}
}

Contact

PoSTMEDIA β€” https://huggingface.co/PoSTMEDIA
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