地球资源数据云——数据资源详情
科技人力资源
该数据集《Human Resources in Science and Technology》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Graduates by education level, programme orientation, sex and field of education 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Context This dataset is compiled from European data about Research & Development Expenditure. Content The data contains information on Human Resources in Science and Technology: Graduates by education level, programme orientation, sex and field of education Geographies values are acronyms (2 characters) for EU countries and group of countries from Europe.
摘要概览
该数据集《Human Resources in Science and Technology》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Graduates by education level, programme orientation, sex and field of education
任务类型：文本监督学习。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Context
This dataset is compiled from European data about Research & Development Expenditure.
Content
The data contains information on Human Resources in Science and Technology: Graduates by education level, programme orientation, sex and field of education
Geographies values are acronyms (2 characters) for EU countries and group of countries from Europe.