VIRATRUSTDATA

VIRATRUSTDATA是由IBM研究院和纽约大学等机构合作创建的数据集，专注于COVID-19疫苗相关的人机对话中的信任度标注。该数据集包含3025条对话，每条对话都标注了用户对疫苗或对话系统的信任程度。数据集的创建过程涉及从VIRADialogs中随机抽样并进行人工标注，确保数据的质量和准确性。VIRATRUSTDATA的应用领域主要在于提升对话系统在公共卫生信息传播中的信任度，特别是在疫苗信息传播方面，旨在解决用户对疫苗信息信任度不足的问题。

VIRATRUSTDATA is a dataset co-created by institutions including IBM Research and New York University, focusing on trust annotation in human-machine conversations concerning COVID-19 vaccines. This dataset comprises 3025 conversation samples, each annotated with the user's level of trust in either the vaccine or the dialogue system. The dataset was constructed through random sampling from VIRADialogs and subsequent manual annotation, to guarantee the quality and accuracy of the data. The primary application scope of VIRATRUSTDATA is to improve the trustworthiness of dialogue systems in public health information dissemination, especially for vaccine-related information, with the goal of addressing the problem of insufficient user trust in vaccine information.