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arXiv Computation and Language By Tirana Noor Fatyanosa, Ummu Ditya Erliana, Mahendra Data, Muhammad Nurwegiono, Eleazar Tadeo Eman, Alham Fikri Aji

IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark

Read the original on arXiv Computation and Language →

IndoNutriQA is a newly released Indonesian clinical nutrition question‑answer benchmark comprising 911 expert‑curated question‑answer pairs drawn from real clinical‑nutrition reports. Each pair is grounded in a clinically relevant context and enriched with structured metadata such as anthropometric assessment, medical diagnosis, and document provenance. The dataset supports generative, extractive, and retrieval‑augmented QA, and includes fine‑tuned baselines and zero‑shot evaluations of contemporary large language models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

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