遇见数据集

electricsheepafrica/africa-ilo-emp-temp-sex-ocu-mjh-nb-employment-by-sex-occupation-and-multiple-job-hold

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Hugging Face2026-05-25 更新2026-05-31 收录
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该数据集名为按性别、职业和多重工作持有划分的就业人数(千)| 非洲(ILOSTAT),是一个关于非洲就业的表格数据集。它包含28,986个观测值,覆盖46个非洲国家,时间跨度为1991年至2025年,涉及1个核心指标:EMP_TEMP_SEX_OCU_MJH_NB,即按性别、职业和多重工作持有划分的就业人数(以千计)。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过API获取并经过标准化处理。数据集提供详细的列结构,包括国家代码、国家名称、数据来源、指标代码、性别分类、分类变量、观测年份、观测值、观测状态等,支持按性别等维度进行细分分析。数据为年度频率,适用于表格分类、表格回归和时间序列预测等任务。数据集由Electric Sheep Africa重新打包,以Parquet格式发布,便于机器学习使用。

This dataset, titled Employment by sex, occupation and multiple job holding (thousands) | Africa (ILOSTAT), is a tabular dataset focusing on employment in Africa. It contains 28,986 observations across 46 African countries, spanning the years 1991–2025, with 1 distinct indicator: EMP_TEMP_SEX_OCU_MJH_NB, which measures employment by sex, occupation, and multiple job holding (in thousands). The data is sourced from the International Labour Organizations (ILO) ILOSTAT database, retrieved via API and harmonized. The dataset includes a detailed schema with columns such as country code, country name, source, indicator code, sex disaggregation, classification variables, observation year, observed value, observation status, etc., allowing for breakdowns by dimensions like sex. The data is annual and suitable for tasks like tabular classification, regression, and time-series forecasting. Repackaged by Electric Sheep Africa in Parquet format for machine learning readiness.

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