地球资源数据云——数据资源详情
NLP：报告和新闻分类
该数据集《NLP : Reports & News Classification》主要用于二分类任务，数据形态以图像为主，应用场景偏向金融风控。 题目说明：ENG & UKR Automatic Environmental Reports & News Classification 任务类型：图像二分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 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：BUWR - SB - basin - water - resources.csv, nlp_results.csv, text_ua.csv 等 8 个文件。 Context New information about the environment appears in public access every second: reports, books, articles, news, etc. are published in different languages. Automatic classification will allow it to be processed and used more efficiently for decision - making. Content This version of the dataset contains 2 files so far - an English - language dataset from the English - language edition of the book, where I am the co - author, and a Ukrainian - language dataset from a separate Ukrainian - language edition of this book. These datasets contain approximately 95% of the same information: Text - One or more sentences from reports or news
摘要概览
该数据集《NLP : Reports & News Classification》主要用于二分类任务，数据形态以图像为主，应用场景偏向金融风控。 题目说明：ENG & UKR Automatic Environmental Reports & News Classification
任务类型：图像二分类。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
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：BUWR - SB - basin - water - resources.csv, nlp_results.csv, text_ua.csv 等 8 个文件。
Context
New information about the environment appears in public access every second: reports, books, articles, news, etc. are published in different languages. Automatic classification will allow it to be processed and used more efficiently for decision - making.
Content
This version of the dataset contains 2 files so far - an English - language dataset from the English - language edition of the book, where I am the co - author, and a Ukrainian - language dataset from a separate Ukrainian - language edition of this book. These datasets contain approximately 95% of the same information:
Text - One or more sentences from reports or news