FLUE

该数据集名为“金融语言理解评估”，是一套全面的基准测试集，旨在评估语言模型在多种金融自然语言处理任务上的表现。它涵盖了五个任务：情感分析、新闻标题分类、命名实体识别、结构边界检测和问答。这些任务的评估有助于对语言模型在金融领域的应用能力进行全面考量。

This dataset, named "Financial Language Understanding Evaluation", is a comprehensive benchmark dataset designed to evaluate the performance of language models across a variety of financial natural language processing (NLP) tasks. It covers five core tasks: Sentiment Analysis, News Title Classification, Named Entity Recognition (NER), Structural Boundary Detection, and Question Answering (QA). Evaluating these tasks enables a comprehensive assessment of language models' applicability in the financial domain.