CAVES

CAVES数据集由印度理工学院卡拉格普尔分校创建，包含约10,000条COVID-19反疫苗推文，这些推文根据11种不同的反疫苗关注点进行了多标签标注。数据集不仅提供了标注，还包括每条标注的人工解释，以及每个关注点的推文摘要。CAVES数据集的应用领域包括自动化细粒度关注点检索、多标签可解释分类和推文摘要生成，旨在帮助社会更好地理解和应对疫苗接种的挑战。

The CAVES dataset, created by the Indian Institute of Technology Kharagpur, contains approximately 10,000 COVID-19-related anti-vaccination tweets. These tweets are multi-labeled based on 11 distinct anti-vaccination concerns. In addition to the annotations, the dataset also provides manual explanations for each individual annotation, as well as tweet summaries for each concern. The application domains of the CAVES dataset include automated fine-grained concern retrieval, multi-label explainable classification, and tweet summarization. It aims to help society better understand and address the challenges surrounding COVID-19 vaccination.