6000万条全国标讯数据集

本数据集包含了从全国上千个各类标讯公开发布网站自主采集的标讯数据。该数据集涵盖了千万级别的样本数据，旨在支持机器学习模型对招标投标公示公告中的关键字段进行精准抽取，如项目名称、招标单位、中标单位、中标金额等数十余项重要信息。

This dataset contains tender announcement data autonomously collected from thousands of public tender announcement websites across the country. Comprising tens of millions of sample entries, it is designed to support machine learning models in accurately extracting key fields from public tender and bidding announcements, including dozens of important pieces of information such as project name, tendering entity, winning bidder, winning bid amount and other relevant details.