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rosetta-ko-heritage-synth-dpo-think

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

Synthetic data generated with the Qwen3.6-27B teacher model — 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 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 (this repo) reasoning preference pairs
rosetta-ko-heritage-synth-rlvr reinforcement-learning-with-verifiable-reward rows

Data Fields

{"id": "...", "source_dataset": "...", "domain": "heritage",
 "prompt": "...",
 "chosen":   [{"role": "assistant", "content": "..."}],
 "rejected": [{"role": "assistant", "content": "..."}]}
  • prompt (string) — the Korean question
  • chosen / rejected — assistant responses (each side carries <think> reasoning); chosen is the verified-correct / better-grounded answer

Usage

from datasets import load_dataset
ds = load_dataset("PoSTMEDIA/rosetta-ko-heritage-synth-dpo-think", 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-dpo-think}
}

Contact

PoSTMEDIA — https://huggingface.co/PoSTMEDIA

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