| --- |
| language: |
| - ko |
| license: apache-2.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| pretty_name: Rosetta KO Code Synthetic (SFT) |
| size_categories: |
| - 100K<n<1M |
| tags: |
| - korean |
| - synthetic |
| - rosetta |
| - code |
| - sft |
| extra_gated_prompt: >- |
| By clicking "Agree" I confirm I have read and agree to the PoSTMEDIA Data Agreement |
| for Model Training and agree that I intend to use this data for model training |
| purposes only. |
| extra_gated_fields: |
| Company: text |
| Institutional Email: text |
| Intended use: text |
| I agree to use this dataset for model training purposes ONLY: checkbox |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: train.jsonl |
| --- |
| # rosetta-ko-code-synth-sft |
|
|
| Korean-native coding data — problems with solutions whose unit tests were actually executed and passed (execution-grounded rejection sampling). |
|
|
| Synthetic data generated with the **Qwen3.6-27B** teacher model — part of the **Rosetta-KO** suite for the Rosetta Korean LLM (PoSTMEDIA). |
|
|
| ## Code Suite |
|
|
| Sibling datasets from the same pipeline (each a separate repo): |
|
|
| | repo | format | |
| |---|---| |
| | **[`rosetta-ko-code-synth-sft`](https://huggingface.co/datasets/PoSTMEDIA/rosetta-ko-code-synth-sft)** (this repo) | supervised fine-tuning (user/assistant `messages`) | |
| | [`rosetta-ko-code-synth-sft-think`](https://huggingface.co/datasets/PoSTMEDIA/rosetta-ko-code-synth-sft-think) | reasoning SFT (`<think>` chain-of-thought) | |
| | [`rosetta-ko-code-synth-dpo`](https://huggingface.co/datasets/PoSTMEDIA/rosetta-ko-code-synth-dpo) | preference pairs (`chosen`/`rejected`) | |
| | [`rosetta-ko-code-synth-dpo-think`](https://huggingface.co/datasets/PoSTMEDIA/rosetta-ko-code-synth-dpo-think) | reasoning preference pairs | |
| | [`rosetta-ko-code-synth-rlvr`](https://huggingface.co/datasets/PoSTMEDIA/rosetta-ko-code-synth-rlvr) | reinforcement-learning-with-verifiable-reward rows | |
|
|
| ## Data Fields |
|
|
| ```json |
| {"id": "...", "source_dataset": "...", "domain": "code", |
| "messages": [{"role": "user", "content": "..."}, |
| {"role": "assistant", "content": "..."}]} |
| ``` |
| - `id` — row-level identifier |
| - `messages[0]` (user) — self-contained Korean prompt |
| - `messages[1]` (assistant) — the answer directly (no reasoning trace) |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("PoSTMEDIA/rosetta-ko-code-synth-sft", split="train") |
| ``` |
|
|
| ## License |
|
|
| Released under the **Apache License 2.0**. |
|
|
| Seed sources: |
| - [nvidia/OpenCodeInstruct](https://huggingface.co/datasets/nvidia/OpenCodeInstruct) |
| - [google-research-datasets/mbpp](https://huggingface.co/datasets/google-research-datasets/mbpp) |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{rosetta_ko_code_synth, |
| title = {Rosetta-KO Code Synthetic Dataset}, |
| author = {PoSTMEDIA}, |
| year = {2026}, |
| howpublished = {Hugging Face: PoSTMEDIA/rosetta-ko-code-synth-sft} |
| } |
| ``` |
|
|
| ## Contact |
|
|
| PoSTMEDIA — https://huggingface.co/PoSTMEDIA |
|
|
|
|
