electricsheepafrica/africa-ilo-emp-temp-sex-edu-nb-employment-by-sex-and-education-thousands

该数据集名为“按性别和教育程度划分的就业人数（千人）| 非洲（ILOSTAT）”，包含了国际劳工组织（ILO）统计数据库（ILOSTAT）中关于非洲就业的数据。数据集涵盖49个非洲国家，时间跨度为1982年至2025年，共包含12,582个观测值，聚焦于一个核心指标：EMP_TEMP_SEX_EDU_NB，即按性别和教育程度划分的就业人数（以千人为单位）。数据通过ILOSTAT REST API获取，并经过过滤以仅包括非洲国家，采用国际劳工统计学家会议（ICLS）定义进行标准化处理。数据集提供了详细的列信息，如国家代码、来源、指标、性别分类、教育分类、年份、观测值等，支持表格分类、回归和时间序列预测等任务。数据以年度频率发布，并包含数据质量注释，如观测状态标志。该数据集由Electric Sheep Africa重新打包，旨在为非洲提供统一的、机器学习就绪的数据层。This dataset, titled Employment by sex and education (thousands) | Africa (ILOSTAT), contains employment data from the International Labour Organizations (ILO) statistical database, ILOSTAT. It covers 49 African countries from 1982 to 2025, with 12,582 observations focusing on one key indicator: EMP_TEMP_SEX_EDU_NB, representing employment by sex and education in thousands. The data is sourced directly from the ILOSTAT REST API, filtered to African country codes, and harmonized using International Conference of Labour Statisticians (ICLS) definitions. It includes detailed columns such as country code, source, indicator, sex disaggregation, education classification, year, observed value, and data quality flags. The dataset supports tabular classification, regression, and time-series forecasting tasks, with annual frequency and caveats on data reliability. Repackaged by Electric Sheep Africa, it aims to provide a unified, ML-ready data layer for Africa.