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Jongsim/claude-opus-4.6-reasoning-12k-ko

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Hugging Face2026-04-04 更新2026-04-12 收录
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--- language: - ko license: other tags: - reasoning - chain-of-thought - distillation - claude-opus - math - logic - korean - translation size_categories: - 10K<n<100K task_categories: - text-generation pretty_name: Claude Opus 4.6 Reasoning 12K (Korean) dataset_info: features: - name: id dtype: string - name: source dtype: string - name: messages dtype: string - name: domain dtype: string - name: difficulty dtype: string - name: teacher_model dtype: string - name: language dtype: string splits: - name: train num_examples: 12842 --- # Claude Opus 4.6 Reasoning 12K (Korean) — v1 Korean translation of the [Jongsim/claude-opus-4.6-reasoning-12k](https://huggingface.co/datasets/Jongsim/claude-opus-4.6-reasoning-12k) dataset. **12,842** reasoning samples with full chain-of-thought traces, translated to Korean. Both the questions and reasoning steps are translated, making it suitable for training Korean-language reasoning models. ## Dataset Description This dataset provides Korean translations of Claude Opus 4.6 reasoning samples covering math, logic, science, and code domains. It is intended for fine-tuning Korean LLMs with step-by-step reasoning capabilities. ## Data Sources | Source | Count | |--------|-------| | [Roman1111111/claude-opus-4.6-10000x](https://huggingface.co/datasets/Roman1111111/claude-opus-4.6-10000x) | 9,633 | | [nohurry/Opus-4.6-Reasoning-3000x-filtered](https://huggingface.co/datasets/nohurry/Opus-4.6-Reasoning-3000x-filtered) | 2,326 | | [Jackrong/Qwen3.5-reasoning-700x](https://huggingface.co/datasets/Jackrong/Qwen3.5-reasoning-700x) | 633 | | [TeichAI/claude-4.5-opus-high-reasoning-250x](https://huggingface.co/datasets/TeichAI/claude-4.5-opus-high-reasoning-250x) | 250 | | **Total** | **12,842** | ## Dataset Structure ### Fields | Field | Type | Description | |-------|------|-------------| | `id` | string | Unique sample identifier | | `source` | string | Original dataset source | | `messages` | string | JSON array of conversation messages (translated to Korean) | | `domain` | string | Problem domain | | `difficulty` | string | Problem difficulty level | | `teacher_model` | string | Model used to generate the original reasoning | | `language` | string | Language code (`ko`) | ### Message Format ```json [ {"role": "user", "content": "문제 내용 (한국어)"}, {"role": "assistant", "content": "최종 답변 (한국어)", "reasoning": "단계별 추론 과정 (한국어)"} ] ``` ### Domain Distribution | Domain | Count | |--------|-------| | simple logic and math | 7,473 | | math | 4,447 | | code | 366 | | science | 166 | | instruction_following | 140 | ### Difficulty Distribution | Difficulty | Count | |------------|-------| | medium | 11,827 | | hard | 61 | | phd | 71 | ## Versioning | Version | Description | |---------|-------------| | v1 | Initial Korean translation release (12,842 samples) | ## Usage ```python from datasets import load_dataset import json ds = load_dataset("Jongsim/claude-opus-4.6-reasoning-12k-ko") # Parse messages sample = ds["train"][0] messages = json.loads(sample["messages"]) print(messages[0]["content"]) # 문제 (한국어) print(messages[1]["reasoning"]) # 추론 과정 (한국어) print(messages[1]["content"]) # 최종 답변 (한국어) ``` ## Related Datasets - 🇺🇸 English original: [Jongsim/claude-opus-4.6-reasoning-12k](https://huggingface.co/datasets/Jongsim/claude-opus-4.6-reasoning-12k)
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