EDT

该数据集包含了股票代码，每个条目对应于特定公司的股票，并附有关于公司相关新闻事件的文本描述及事件发生日期。数据集按市值大小分为小盘股、中盘股和大盘股，并包括了每个股票在事件发生后接下来n天的收盘价，以及自动标注的价格变动标签。该数据集规模包含46397个训练样本、5210个验证样本以及5263个测试样本，其任务是用基于事件驱动的洞察来更新时间序列预测。

This dataset includes stock tickers, with each entry corresponding to the stock of a specific company, accompanied by textual descriptions of relevant news events for the company and the dates when these events occurred. The dataset is classified into small-cap, mid-cap, and large-cap stocks based on market capitalization, and contains the closing prices of each stock over the n consecutive days following the event, alongside automatically annotated price change labels. It consists of 46,397 training samples, 5,210 validation samples, and 5,263 test samples, with its core task being to update time series forecasting using event-driven insights.