electricsheepeurope/europe-ilo-emp-nifl-eco-ocu-nb-informal-employment-by-economic-activity-and-occup

该数据集是一个关于欧洲非正规就业的表格数据集，包含106,341个观测值，覆盖34个欧洲国家，时间跨度为2003年至2025年。数据来源于国际劳工组织（ILO）的ILOSTAT数据库，主题为非正规经济，主要指标为EMP_NIFL_ECO_OCU_NB，即按经济活动和职业划分的非正规就业（以千计）。数据集通过ILOSTAT REST API获取，并经过筛选和处理，以确保数据的一致性和可追溯性。数据模式包括国家代码、国家名称、数据来源、指标代码、指标标签、分类变量（如经济活动和职业）、观测年份、观测值、观测状态和相关注释等列。数据为年度频率，并包含数据质量注意事项，例如使用ILO选择的“最佳来源”处理多源数据。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，旨在为研究者和开发者提供机器学习就绪的数据层，方便使用HuggingFace的load_dataset()函数快速加载和分析。数据集采用cc-by-4.0许可证发布，使用时需引用原始来源和Electric Sheep Europe的重新打包信息。This dataset is a tabular dataset on informal employment in Europe, containing 106,341 observations across 34 European countries, spanning from 2003 to 2025. The data is sourced from the International Labour Organization (ILO) ILOSTAT database, focusing on the informal economy, with the primary indicator EMP_NIFL_ECO_OCU_NB, representing informal employment by economic activity and occupation (in thousands). It is retrieved via the ILOSTAT REST API and filtered for Europe ISO3 country codes, ensuring harmonization and traceability. The schema includes columns such as country code, country name, data source, indicator code, indicator label, classification variables (e.g., economic activity and occupation), observation year, observed value, observation status, and related notes. The data is annual frequency, with caveats on data quality, such as using the ILO-selected best source for multiple sources. It is suitable for tasks like tabular classification, tabular regression, and time-series forecasting, designed as a machine learning-ready data layer for researchers and developers to quickly load and analyze using HuggingFaces load_dataset() function. The dataset is released under the cc-by-4.0 license, requiring citation of both the original source and the Electric Sheep Europe repackaging.