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Introducing JFLEG-JA, a new Japanese language error correction benchmark with 1,335 sentences, each paired with 4 high-quality human corrections 🎉
Inspired by the English JFLEG dataset, this dataset covers diverse error types, including particle mistakes, kanji mix-ups, incorrect contextual verb, adjective, and literary technique usage.
You can use this for evaluating LLMs, few-shot learning, error analysis, or fine-tuning correction systems.
https://huggingface.co/datasets/ronantakizawa/jfleg-japanese
#japanese #evals #benchmark
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6 days ago
Introducing JFLEG-JA, a new Japanese language error correction benchmark with 1,335 sentences, each paired with 4 high-quality human corrections 🎉
Inspired by the English JFLEG dataset, this dataset covers diverse error types, including particle mistakes, kanji mix-ups, incorrect contextual verb, adjective, and literary technique usage.
You can use this for evaluating LLMs, few-shot learning, error analysis, or fine-tuning correction systems.
https://huggingface.co/datasets/ronantakizawa/jfleg-japanese
#japanese #evals #benchmark
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Introducing JFLEG-JA, a new Japanese language error correction benchmark with 1,335 sentences, each paired with 4 high-quality human corrections 🎉 Inspired by the English JFLEG dataset, this dataset covers diverse error types, including particle mistakes, kanji mix-ups, incorrect contextual verb, adjective, and literary technique usage. You can use this for evaluating LLMs, few-shot learning, error analysis, or fine-tuning correction systems. ronantakizawa/jfleg-japanese #japanese #evals #benchmark
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Introducing the Medical-o1-Reasoning-SFT-Japanese dataset 🎉 This dataset is a Japanese dataset consisting questions, reasoning, and answer results for complex medical topics. #japanese #medical #dataset ronantakizawa/Medical-o1-Reasoning-SFT-Japanese See translation
