electricsheepafrica/africa-ilo-emp-temp-sex-dsb-nb-employment-by-sex-and-disability-status-thousands

该数据集名为“按性别和残疾状况分类的就业人数（千计）| 非洲（ILOSTAT）”，是一个关于非洲就业的表格型数据集，专门用于时间序列预测、表格分类和回归任务。数据集包含1,121个观测值，覆盖41个非洲国家，时间跨度为1998年至2025年，涵盖一个独特指标：“EMP_TEMP_SEX_DSB_NB”，即按性别和残疾状况分类的就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过REST API获取并过滤为非洲国家代码，使用国际劳工统计学家会议（ICLS）定义进行标准化处理。数据集包含多列，如国家代码、国家名称、数据来源、指标代码、性别分类（总计、男性、女性）、年份、观测值等，支持按国家、年份和性别进行数据筛选和分析。数据集为年度频率，适用于研究非洲就业趋势、性别和残疾状况对就业的影响，以及进行时间序列预测等机器学习任务。数据以Parquet格式发布，由Electric Sheep Africa重新打包，便于使用Hugging Face的`load_dataset()`函数快速加载和使用。This dataset is titled Employment by sex and disability status (thousands) | Africa (ILOSTAT) and is a tabular dataset focused on employment in Africa, designed for time-series forecasting, tabular classification, and regression tasks. It contains 1,121 observations across 41 African countries, spanning the years 1998 to 2025, and covers one distinct indicator: EMP_TEMP_SEX_DSB_NB, which represents employment figures in thousands disaggregated by sex and disability status. The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, retrieved via the REST API and filtered to African country codes, with harmonization based on International Conference of Labour Statisticians (ICLS) definitions. The dataset includes columns such as country code, country name, data source, indicator code, sex disaggregation (total, male, female), year, observed value, and more, enabling filtering by country, year, and sex. It is annual in frequency and suitable for analyzing employment trends in Africa, the impact of gender and disability status on employment, and for machine learning tasks like time-series forecasting. The data is repackaged by Electric Sheep Africa in Parquet format and published on Hugging Face, allowing easy loading with the `load_dataset()` function.