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

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.本数据集整合六类数据源，以支撑针对越南罗布斯塔咖啡（Robusta coffee）价格预测的机器学习研究，具体涵盖：(1) 越南中部高地五个省份的国内罗布斯塔咖啡每日价格；(2) 本地气象观测数据；(3) 伦敦洲际交易所（ICE London）罗布斯塔咖啡期货价格；(4) 美元兑越南盾（USD/VND）汇率；(5) 全球原油价格（布伦特原油（Brent）、西德克萨斯中质原油（WTI））；(6) 越南国内零售燃油价格。数据集覆盖时段为2020年1月1日至2026年5月22日，共包含5445条每日记录、25个变量，经预处理后无缺失值。本数据集配套提交至ISDS 2026的论文《面向多变量罗布斯塔咖啡价格预测的机器学习模型基准测试：多源数据集与特征消融研究》。若您使用本数据集，请在该论文正式发表后引用该文献。