electricsheepafrica/africa-ilo-emp-dwap-sex-edu-rt-employment-to-population-ratio-by-sex-and-educatio

该数据集包含来自国际劳工组织（ILO）ILOSTAT数据库的就业数据，专门针对非洲地区，主题为按性别和教育划分的就业人口比率（%）。数据集涵盖49个非洲国家从1982年至2025年的年度观测数据，共计12,582条记录。核心指标为EMP_DWAP_SEX_EDU_RT，表示按性别（总计、男性、女性）和教育水平（总计分类）划分的就业人口比率。数据字段包括国家代码、国家名称、数据来源、指标代码、性别分类、观测年份、观测值（百分比形式）、观测状态标志及相关注释。数据通过ILOSTAT REST API获取，并经过ILO基于国际劳工统计学家会议（ICLS）定义进行标准化处理，适用于表格分类、回归和时间序列预测等机器学习任务。数据集由Electric Sheep Africa重新打包，以Parquet格式提供，便于直接使用Hugging Face的`load_dataset`加载。This dataset contains employment data from the International Labour Organization (ILO) ILOSTAT database, focused on Africa, with the theme Employment-to-population ratio by sex and education (%). It covers 49 African countries with annual observations from 1982 to 2025, totaling 12,582 records. The core indicator is EMP_DWAP_SEX_EDU_RT, representing the employment-to-population ratio disaggregated by sex (total, male, female) and education level (total classification). Data fields include country codes, country names, data sources, indicator codes, sex classifications, observation years, observed values (in percentage), observation status flags, and related notes. The data is sourced via the ILOSTAT REST API and harmonized by the ILO using International Conference of Labour Statisticians (ICLS) definitions, suitable for machine learning tasks such as tabular classification, regression, and time-series forecasting. The dataset is repackaged by Electric Sheep Africa in Parquet format for easy loading with Hugging Faces `load_dataset`.