遇见数据集

electricsheepeurope/europe-ilo-emp-nifl-sex-ins-mts-nb-informal-employment-by-sex-public-private-sector-a

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Hugging Face2026-05-26 更新2026-05-31 收录
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该数据集包含关于欧洲4个国家(具体为MDA、MKD、BIH、SRB)在2003年至2025年期间的非正规就业按性别、公共/私营部门和婚姻状况划分(千人数)的观测数据,共有4,609条观测记录,涵盖1个独特指标(EMP_NIFL_SEX_INS_MTS_NB)。数据来源于国际劳工组织(ILO)的ILOSTAT数据库,通过REST API获取并过滤到欧洲国家,经过重新打包以提供统一的机器学习就绪格式。数据集包括列如国家代码、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,用于表格分类、回归和时间序列预测等任务。

This dataset contains 4,609 observations of Informal employment by sex, public/private sector and marital status (thousands) data across 4 Europe countries (specifically MDA, MKD, BIH, SRB), spanning 2003–2025, covering 1 distinct indicator (EMP_NIFL_SEX_INS_MTS_NB). The data is sourced from the International Labour Organization (ILO)s ILOSTAT database, pulled via REST API and filtered to European countries, and repackaged to provide a unified, ML-ready format. It includes columns such as country code, country name, data source, indicator code, sex disaggregation, classification variables, observation year, observed value, observation status, etc., for tasks like tabular classification, regression, and time-series forecasting.

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