地球资源数据云——数据资源详情
COVID-19 教育数据
该数据集《COVID - 19 Education Data》主要用于监督学习任务，数据形态以文本为主，应用场景偏向天文科学。 题目说明：2020 & 2021 Impact on 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：Teacher Survey 2020.csv。 Context I am creating this dataset in the hope that it will help us uncover findings on the impact of Covid - 19 on Education (in the US and worldwide). Content The datasets are: Survey May - June 2020.xlsx: A first wave of data collection started in May and lasted until June 2020
摘要概览
该数据集《COVID - 19 Education Data》主要用于监督学习任务，数据形态以文本为主，应用场景偏向天文科学。 题目说明：2020 & 2021 Impact on 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：Teacher Survey 2020.csv。
Context
I am creating this dataset in the hope that it will help us uncover findings on the impact of Covid - 19 on Education (in the US and worldwide).
Content
The datasets are:
Survey May - June 2020.xlsx: A first wave of data collection started in May and lasted until June 2020