Researchers have introduced IndoNutriQA, a new benchmark dataset designed to advance clinical question answering in Indonesian. This expert-curated dataset comprises 911 question-answer pairs derived from clinical nutrition reports, with each entry grounded in relevant medical contexts and enriched with structured metadata. IndoNutriQA supports various QA approaches, including generative, extractive, and retrieval-augmented methods, and is intended to facilitate research in Indonesian clinical natural language processing and decision support systems. AI
IMPACT Facilitates research in low-resource clinical NLP and supports the development of intelligent decision support systems for Indonesian healthcare.
RANK_REASON The cluster describes a new academic benchmark dataset for a specific language and domain.
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- arXiv
- Hugging Face
- IndoBERT
- Indonesian
- IndoNutriQA
- Mt5
- Nutrition
- Problem, Etiology, Sign and Symptom
- Question Answering
- retrieval-augmented generation
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