VNCoffeePrice: A Multi-Source Dataset for Robusta Coffee Price Forecasting in Vietnam (2020–2026)

Published: 16 July 2026| Version 1 | DOI: 10.17632/p8fhcw59b7.1
Contributors:
, Hai Nguyen Chi

Description

This dataset integrates six data sources to support machine-learning research on Robusta coffee price forecasting in Vietnam: (1) daily domestic Robusta coffee prices at five provinces in the Central Highlands, (2) local weather observations, (3) ICE London Robusta coffee futures prices, (4) USD/VND exchange rates, (5) world crude oil prices (Brent, WTI), and (6) Vietnamese retail fuel prices. Coverage spans 1 January 2020 to 22 May 2026 (5,445 daily records, 25 variables, zero missing values after preprocessing). This dataset accompanies the manuscript "Benchmarking Machine Learning Models for Multivariate Robusta Coffee Price Forecasting: A Multi-Source Dataset and Feature Ablation Study" (submitted to ISDS 2026). Please cite the manuscript (once published) if you use this dataset.

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Categories

Machine Learning, Time Series Analysis, Vietnam, Robusta Coffee

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