jganzabalseenka/news_2024-06-16_24hs

该数据集包含多个特征，如资产ID、中文标题、媒体、影响程度、开始时间（UTC和本地时间）、实体信息、预测时间、原始转换后的实体信息、文本内容、关键词、预测延迟等。数据集的特征详细描述了每个实体的信息，包括实体的结束位置、实体组、得分、起始位置和词语。数据集的训练集部分包含4432个样本，总大小为53887593字节。

This dataset includes multiple features such as asset ID, Chinese title, media, impact level, start time (UTC and local time), entity information, prediction time, raw transformed entity information, text content, keywords, prediction delay, etc. The features of the dataset provide detailed information about each entity, including the end position, entity group, score, start position, and word. The training set portion of the dataset contains 4432 samples, with a total size of 53887593 bytes.