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README.md
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---
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task_categories:
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- translation
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language:
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- ko
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- en
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---
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### 장문 번역 데이터만 추출
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- [gemma](https://huggingface.co/google/gemma-7b) 토크나이저 기준으로 영문+한글 토큰 합이 1K 이상인 데이터만 추출
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- 데이터 수
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- 1K~2K: 146,957
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- 2K~4K: 11,823
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- 4K~: 2,229
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- 한/영 둘 중 한쪽만 중복인 경우는 제거하지 않았습니다.
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### 데이터 출처
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- [nayohan/aihub-en-ko-translation-12m](https://huggingface.co/datasets/nayohan/aihub-en-ko-translation-12m)
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- [nayohan/instruction_en_ko_translation_1.4m](https://huggingface.co/datasets/nayohan/instruction_en_ko_translation_1.4m)
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- [jhflow/orca_ko_en_pair](https://huggingface.co/datasets/jhflow/orca_ko_en_pair)
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- [jhflow/platypus_ko_en_pair](https://huggingface.co/datasets/jhflow/platypus_ko_en_pair)
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- [jhflow/dolly_ko_en_pair](https://huggingface.co/datasets/jhflow/dolly_ko_en_pair)
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- [heegyu/OIG-small-chip2-ko](https://huggingface.co/datasets/heegyu/OIG-small-chip2-ko)
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- [lemon-mint/en_ko_translation_purified_v0.1](https://huggingface.co/datasets/lemon-mint/en_ko_translation_purified_v0.1)
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- [squarelike/sharegpt_deepl_ko_translation](https://huggingface.co/datasets/squarelike/sharegpt_deepl_ko_translation)
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- [amphora/parallel-wiki-koen](https://huggingface.co/datasets/amphora/parallel-wiki-koen)
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- [kuotient/gsm8k-ko](https://huggingface.co/datasets/kuotient/gsm8k-ko)
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- [kuotient/orca-math-word-problems-193k-korean](https://huggingface.co/datasets/kuotient/orca-math-word-problems-193k-korean)
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### 데이터 출처 분포
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