地球资源数据云——数据资源详情
该数据集《Education Under Attack 2020 to 2025》主要用于二分类任务,数据形态以文本为主。 题目说明:Verified Incidents Impacting Students, Teachers, Schools Across Conflict Zones 任务类型:文本二分类。 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。 About Dataset This dataset presents verified incidents of violence, threats, and disruptions affecting education systems globally from January 2020 to May 2025. It includes structured, incident - level records of attacks against students, teachers, schools, and educational infrastructure. The data enables global awareness, humanitarian response, and academic analysis of how education is endangered during conflict and crisis. Key Features | Column | Description |

该数据集《Education Under Attack 2020 to 2025》主要用于二分类任务,数据形态以文本为主。 题目说明:Verified Incidents Impacting Students, Teachers, Schools Across Conflict Zones
任务类型:文本二分类。
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。
About Dataset
This dataset presents verified incidents of violence, threats, and disruptions affecting education systems globally from January 2020 to May 2025.
It includes structured, incident - level records of attacks against students, teachers, schools, and educational infrastructure. The data enables global awareness, humanitarian response, and academic analysis of how education is endangered during conflict and crisis.
Key Features
| Column | Description |