electricsheepafrica/africa-ilo-emp-temp-eco-ocu-nb-employment-by-economic-activity-and-occupation-tho

该数据集名为按经济活动和职业划分的就业（千）| 非洲（ILOSTAT），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。数据集涵盖49个非洲国家，时间跨度为1982年至2025年，共包含104,930个观测值，聚焦于一个核心指标：EMP_TEMP_ECO_OCU_NB，即按经济活动和职业划分的就业人数（以千计）。数据来源于ILOSTAT的REST API，经过协调处理，使用国际劳工统计学家会议（ICLS）的定义，并过滤到非洲国家代码。数据集包括年度频率的观测值，每个观测值包含国家代码、国家名称、数据来源、指标代码、分类变量（如经济活动和职业）、观测年份、观测值、观测状态标志以及相关注释。数据质量方面，ILO选择每个国家×年份组合的最佳来源，且分类列仅在指标发布细分时非空。该数据集适用于表格分类、表格回归和时间序列预测等任务，可用于研究非洲就业趋势、经济分析或机器学习建模。数据集由Electric Sheep Africa重新打包，以标准化模式发布，便于使用Hugging Face的`load_dataset()`快速加载。This dataset, titled Employment by economic activity and occupation (thousands) | Africa (ILOSTAT), contains employment data from the International Labour Organization (ILO) ILOSTAT database, specifically focused on Africa. It covers 49 African countries, spanning the years 1982 to 2025, with 104,930 observations, and centers on one key indicator: EMP_TEMP_ECO_OCU_NB, which represents employment by economic activity and occupation (in thousands). The data is sourced directly from the ILOSTAT REST API, harmonized using International Conference of Labour Statisticians (ICLS) definitions, and filtered to African country codes. The dataset includes annual frequency observations, each with columns for country code, country name, data source, indicator code, classification variables (e.g., economic activity and occupation), observation year, observed value, observation status flags, and related notes. In terms of data quality, the ILO-selected best source is used for each country×year combination, and disaggregation columns are non-null only when the indicator publishes that breakdown. This dataset is suitable for tasks such as tabular classification, tabular regression, and time-series forecasting, and can be used for researching African employment trends, economic analysis, or machine learning modeling. It has been repackaged by Electric Sheep Africa with a standardized schema for easy loading via Hugging Faces `load_dataset()`.