electricsheepeurope/europe-ilo-emp-nifl-sex-edu-rt-informal-employment-rate-by-sex-and-education

该数据集名为按性别和教育程度划分的非正规就业率（%）| 欧洲（ILOSTAT），是一个关于欧洲非正规就业率的表格数据集。它包含9,541个观察值，覆盖35个欧洲国家，时间跨度为2003年至2025年，涵盖1个核心指标：EMP_NIFL_SEX_EDU_RT，即按性别和教育程度划分的非正规就业率（百分比）。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，该数据库是全球劳动统计的主要来源，通过国家劳动力调查、家庭收入调查、机构调查和行政记录等数据源进行协调。数据集以表格形式呈现，包括列如国家代码、国家名称、指标代码、指标标签、性别分类、教育分类、年份、观察值、观察状态等，用于支持分类和回归任务，特别是时间序列预测。数据经过ILO的标准化处理，确保一致性和可追溯性，并适用于机器学习研究。数据集由Electric Sheep Europe重新打包，以Parquet格式发布，便于使用Hugging Face的`load_dataset()`函数加载。This dataset, named Informal employment rate by sex and education (%) | Europe (ILOSTAT), is a tabular dataset focusing on informal employment rates in Europe. It contains 9,541 observations across 35 European countries, spanning the years 2003 to 2025, and covers 1 distinct indicator: EMP_NIFL_SEX_EDU_RT, which represents the informal employment rate by sex and education (%). The data is sourced from ILOSTAT, the International Labour Organization (ILO)s central statistics database, a leading global source for labour statistics that harmonizes data from national labour force surveys, household income surveys, establishment surveys, and administrative records. The dataset is structured in a tabular format with columns such as country code, country name, indicator code, indicator label, sex disaggregation, education classification, year, observed value, observation status, and more, supporting tasks like tabular classification, regression, and time-series forecasting. It has been processed by the ILO for consistency and traceability, and is repackaged by Electric Sheep Europe in Parquet format for easy loading via Hugging Faces `load_dataset()` function, making it suitable for machine learning research.