遇见数据集

electricsheepasia/asia-ilo-ees-tees-sex-mts-dsb-nb-employees-by-sex-marital-status-and-disability-sta

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Hugging Face2026-05-26 更新2026-05-31 收录
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该数据集是一个关于亚洲地区员工统计的表格型数据集,专注于员工按性别、婚姻状况和残疾状况的分类数据(以千计)。数据集包含8,482个观测值,覆盖20个亚洲国家,时间跨度为1996年至2024年,涉及一个核心指标:EES_TEES_SEX_MTS_DSB_NB(员工按性别、婚姻状况和残疾状况分类,千计)。数据来源于国际劳工组织(ILO)的ILOSTAT统计数据库,通过REST API直接获取,并过滤到亚洲国家代码。数据集经过协调处理,使用国际劳工统计学家会议(ICLS)定义对原始调查数据进行标准化,确保数据可比性和一致性。数据结构包括国家代码、国家名称、数据来源、指标代码、性别分类(如总计、男性、女性等)、婚姻状况和残疾状况分类、观测年份、观测值、数据状态标志以及相关注释。数据质量方面,数据为年度频率,当同一国家×年份有多个来源时,使用ILO选择的“最佳来源”,且分类列仅在指标发布细分时非空。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,可用于劳动力市场分析、社会经济研究或机器学习模型训练。数据集由Electric Sheep Asia重新打包,以Parquet格式发布,便于通过HuggingFace的`load_dataset()`函数快速加载和使用。

This dataset is a tabular dataset focusing on employee statistics in Asia, specifically data on employees classified by sex, marital status, and disability status (in thousands). It contains 8,482 observations covering 20 Asian countries from 1996 to 2024, with one core indicator: EES_TEES_SEX_MTS_DSB_NB (Employees by sex, marital status and disability status, thousands). The data is sourced from the International Labour Organization (ILO)s ILOSTAT statistical database, retrieved directly via the REST API and filtered to Asian country codes. The dataset is harmonized using International Conference of Labour Statisticians (ICLS) definitions to standardize raw survey data, ensuring comparability and consistency. The data structure includes country codes, country names, data sources, indicator codes, sex classifications (e.g., total, male, female), marital status and disability status classifications, observation year, observed values, data status flags, and related notes. In terms of data quality, the data is annual frequency; when multiple sources exist for the same country×year, the ILO-selected best source is used, and disaggregation columns are non-null only when the indicator publishes breakdowns. This dataset is suitable for tasks such as tabular classification, tabular regression, and time-series forecasting, and can be used for labor market analysis, socio-economic research, or machine learning model training. It is repackaged by Electric Sheep Asia in Parquet format for easy loading and use via HuggingFaces `load_dataset()` function.

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