 模型信息 Model Information  由于 UniEX 可以统一所有抽取任务，且经过预训练之后，UniEX拥有着不错的 Few-Shot 和 Zero-shot 性能。为了方便社区做中文领域的抽取任务，我们使用百度百科这种结构化的数据构建弱监督数据集，通过清洗过后得到大概600M的数据，此外也收集了 16 个实体识别，7个关系抽取，6个事件抽取，11个阅读理解数据集。我们将收集得到的数据同时输入模型进行预训练。  Because UniEX can unify all extraction tasks, and after pre-training, UniEX has strong Few-Shot and Zero-shot performance. We use the structured data of Baidu Encyclopedia to build a weakly supervised data set. After cleaning, we get about 600M data. In addition, we also collected 16 entity recognition, 7 relationship extraction, 6 event extraction, and 11 reading comprehension data sets. . We mix this data and feed it to the model for pre-training   