OpenD5

该数据集是一个元数据集，它汇集了来自不同领域的675个开放性问题，这些领域包括商业、社会科学、人文科学、机器学习和健康等。该数据集使得我们能够根据有效性、相关性、新颖性和重要性评估系统生成的发现。其任务是基于用户定义的研究目标，比较两个大型语料库之间的差异。

This dataset is a meta-dataset that aggregates 675 open-ended questions from diverse domains including business, social sciences, humanities, machine learning, healthcare, and others. It enables the evaluation of system-generated findings based on validity, relevance, novelty, and significance. The core task of this dataset is to compare the differences between two large corpora based on user-defined research objectives.