地球资源数据云——数据资源详情
2017 年教育数据（概览）
该数据集《Education in Figures 2017 (At a Glance)》主要用于监督学习任务，数据形态以文本为主。 题目说明：Education in Figures 2017 (At a Glance) 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 It is published Ministry of Education of Nepal. official source: https://moe.gov.np/assets/uploads/files/Education_in_Figures_2017.pdf Content There are many dataset regarding University, Colleges,students,teachers etc Acknowledgements All data taken from published document from Ministry of Education
摘要概览
该数据集《Education in Figures 2017 (At a Glance)》主要用于监督学习任务，数据形态以文本为主。 题目说明：Education in Figures 2017 (At a Glance)
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
It is published Ministry of Education of Nepal. official source: https://moe.gov.np/assets/uploads/files/Education_in_Figures_2017.pdf
Content
There are many dataset regarding University, Colleges,students,teachers etc
Acknowledgements All data taken from published document from Ministry of Education