One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions of copyrighted commercial music. We present Melon Playlist Dataset, a public dataset of mel-spectrograms for 649,091tracks and 148,826 associated playlists annotated by 30,652 different tags. All the data is gathered from Melon, a popular Korean streaming service. The dataset is suitable for music information retrieval tasks, in particular, auto-tagging and automatic playlist continuation. Even though the latter can be addressed by collaborative filtering approaches, audio provides opportunities for research on track suggestions and building systems resistant to the cold-start problem, for which we provide a baseline. Moreover, the playlists and the annotations included in the Melon Playlist Dataset make it suitable for metric learning and representation learning.

本文介绍了 Melon Playlist Dataset 这个基于 Melon 音乐流媒体平台的公共音乐数据集，包括 649,091 首曲目和 148,826 个关联播放列表，涵盖了 30,652 种标签，适用于音乐信息检索等任务。该数据集提供了基准解决方案，可用于支持建立具有冷启动问题抵抗力的系统。

Melon Playlist Dataset: 音频播放列表生成和音乐标签的公共数据集