electricsheepafrica/africa-ports-somalia

该数据集名为“索马里：每日港口活动数据和货运估计”，提供了索马里港口的每日港口呼叫次数、进港和出港货运量（以公吨计）的估计。数据集中的每一行代表国家层面的汇总数据。数据最后更新于2026年4月8日，地理范围为索马里（SOM）。数据集由PortWatch发布，来源为HDX，并由Electric Sheep Africa整理为适合机器学习的Parquet格式。数据集包含13,250行，31列（24个数值型，6个类别型），并已分为10,600行的训练集和2,650行的测试集。数据集涵盖了地理、时间、标识符/元数据等多种变量，适用于表格分类和回归任务。

The dataset, titled Somalia: Daily Port Activity Data and Shipment Estimates, provides daily counts of port calls and estimates of incoming and outgoing shipment volumes (in metric tons) for ports in Somalia. Each row in the dataset represents country-level aggregates. The data was last updated on HDX on 2026-04-08, with a geographic scope of Somalia (SOM). Published by PortWatch and sourced from HDX, the dataset was curated into an ML-ready Parquet format by Electric Sheep Africa. It consists of 13,250 rows and 31 columns (24 numeric, 6 categorical), split into 10,600 training rows and 2,650 test rows. The dataset includes various variables such as geographic, temporal, identifier/metadata, and others, making it suitable for tabular classification and regression tasks.