IndoNutriQA, the Indonesian clinical nutrition Q&A benchmark, has been officially released.
On October 24, 2026, the research team published a paper on arXiv (ID 2610.31256v1), introducing IndoNutriQA, the first expert-annotated question-answering benchmark for the Indonesian-language clinical nutrition domain. It comprises 911 question–answer pairs derived from real clinical reports, focusing on evaluation rather than training, and supports generative, extractive, and retrieval-augmented question-answering tasks.
Why it matters：This benchmark fills the gap in high-quality publicly available evaluation data for low-resource languages—particularly Indonesian—in the clinical nutrition NLP domain. It features comprehensive structured metadata, question types that strictly adhere to the Nutrition Care Process (NCP), and has undergone expert validation and multi‑model benchmarking, ensuring a clear research focus and rigorous methodology.