MTIPS

MTIPS是由哈尔滨工业大学深圳计算机科学与技术学院创建的中文数据集，旨在从音乐评论中生成提示，以辅助用户决策过程。该数据集包含8,003条来自128首歌曲的提示/非提示，涵盖五种不同的音乐类型。数据集的创建过程包括与流行音乐平台合作，邀请五位专业标注者进行高质量标注。MTIPS数据集的应用领域主要集中在音乐领域的提示生成，旨在解决用户在音乐选择过程中的信息过载问题。

MTIPS is a Chinese dataset developed by the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). It is designed to generate prompts from music reviews to assist users in their decision-making processes. The dataset contains 8,003 prompt/non-prompt entries from 128 songs, spanning five distinct music genres. The construction of the MTIPS dataset involved collaborations with popular music platforms and the invitation of five professional annotators to complete high-quality annotation work. The application fields of the MTIPS dataset mainly focus on prompt generation in the music domain, with the goal of solving the problem of information overload faced by users during music selection.