electricsheepasia/asia-ilo-emp-nifl-sex-oc2-nb-informal-employment-by-sex-and-occupation-isco-lev

该数据集是关于亚洲地区非正规就业的统计数据集，包含18,808个观测值，涵盖26个亚洲国家（如土耳其、越南、斯里兰卡、巴勒斯坦等），时间跨度为2004年至2025年。核心指标为EMP_NIFL_SEX_OC2_NB，即按性别和职业（ISCO 2级分类）统计的非正规就业人数（以千计）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，通过官方API获取，并经过标准化处理。数据集包含多个维度的信息，如国家代码、国家名称、数据来源（如劳动力调查）、指标代码、性别分类（总计、男性、女性等）、职业分类、观测年份、观测值、数据状态标志等。数据以年度频率发布，适用于表格分类、回归分析和时间序列预测等机器学习任务。数据集由Electric Sheep Asia重新打包，以Parquet格式提供，便于使用HuggingFace的`load_dataset`函数加载。This dataset contains statistical data on informal employment in Asia, with 18,808 observations across 26 Asian countries (e.g., Turkey, Vietnam, Sri Lanka, Palestine) spanning 2004 to 2025. The core indicator is EMP_NIFL_SEX_OC2_NB, which measures informal employment by sex and occupation (ISCO level 2) in thousands. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, retrieved via its official API and harmonized. The dataset includes multiple dimensions such as country codes, country names, data sources (e.g., labour force surveys), indicator codes, sex disaggregation (total, male, female, etc.), occupation classifications, observation years, observed values, and data status flags. Data is published at annual frequency and is suitable for machine learning tasks like tabular classification, regression, and time-series forecasting. The dataset is repackaged by Electric Sheep Asia in Parquet format for easy loading with HuggingFaces `load_dataset` function.