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CoffeeRAG-SLM: evaluation data for on-device retrieval-augmented generation in Indonesian coffee agronomy question answering

Year: 2026

Type: dataset

Abstract: It contains every per-query record needed to reproduce the results reported in the article: the expert-validated gold-standard question–answer set, the answers generated under three system configurations, retrieval outputs, answer- and retrieval-quality scores, hallucination labels, and 900 latency/memory measurements. A script that reproduces all inferential statistics is included.

Source: Mendeley Data

DOI: 10.17632/xf46ph69z8

Authors: Auliya, Yudha Alif, Leu, Jenq-Shiou, Prakosa, Setya Widyawan, fatiyah, adila chusnul, Farras, Muhammad Taqiyuddin Al, Fauzi, Muhammad Burhanuddin

Institutions: National Taiwan University of Science and Technology, Universitas Jember, Indonesian Coffee and Cocoa Research Institute

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7214963357

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