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New Indonesian Clinical Nutrition QA Benchmark Released

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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New Indonesian Clinical Nutrition QA Benchmark Released

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Tirana Noor Fatyanosa, Ummu Ditya Erliana, Mahendra Data, Muhammad Nurwegiono, Eleazar Tadeo Eman, Alham Fikri Aji ·

    IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark

    arXiv:2610.31256v1 Announce Type: new Abstract: Clinical Question Answering (QA) underpins Clinical Intelligent Decision Support Systems, but progress is severely limited for low-resource languages such as Indonesian by the absence of public domain-specific data. We introduce Ind…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark

    Clinical Question Answering (QA) underpins Clinical Intelligent Decision Support Systems, but progress is severely limited for low-resource languages such as Indonesian by the absence of public domain-specific data. We introduce IndoNutriQA, an expert-curated Indonesian clinical …