COVID-19 Data from Italy

该数据集包含了从意大利21个地区收集的新冠肺炎感染率、康复率和死亡率，为疫情随时间演变的全面观察提供了数据支持。此外，该数据集还包括了新冠肺炎病例数的每日更新，这有助于对预测模型进行详尽评估。数据涵盖了连续132天的时间跨度，其任务是对疫情进行预测。

This dataset contains COVID-19 infection, recovery and mortality rates collected from 21 regions in Italy, offering data support for comprehensive observations of the pandemic's temporal evolution. Furthermore, the dataset includes daily updates of COVID-19 case counts, which facilitates in-depth evaluations of predictive models. Covering a time span of 132 consecutive days, this dataset is dedicated to pandemic prediction tasks.