Music Dataset: Lyrics and Metadata from 1950 to 2019

This dataset was studied on Temporal Analysis and Visualisation of Music paper, in the following link: https://sol.sbc.org.br/index.php/eniac/article/view/12155 This dataset provides a list of lyrics from 1950 to 2019 describing music metadata as sadness, danceability, loudness, acousticness, etc. We also provide some informations as lyrics which can be used to natural language processing. The audio data was scraped using Echo Nest® API integrated engine with spotipy Python’s package. The spotipy API permits the user to search for specific genres, artists,songs, release date, etc. To obtain the lyrics we used the Lyrics Genius® API as baseURL for requesting data based on the song title and artist name.本数据集曾被用于《音乐的时序分析与可视化》（Temporal Analysis and Visualisation of Music）的相关研究，相关论文链接为：https://sol.sbc.org.br/index.php/eniac/article/view/12155。本数据集包含1950年至2019年的歌词列表，并附带音乐元数据，涵盖情绪伤感度、可舞性、响度、声学特性等维度。此外，数据集还提供了可用于自然语言处理（Natural Language Processing, NLP）的歌词相关文本数据。音频数据通过集成Python第三方库Spotipy的Echo Nest® API引擎爬取获取，Spotipy接口支持用户按特定音乐流派、艺人、歌曲、发行日期等维度进行检索。歌词数据则基于歌曲标题与艺人名称，以Lyrics Genius® API作为请求接口完成数据获取。

搜集汇总

背景与挑战

背景概述

该数据集收集了1950年至2019年的音乐歌词和相关元数据，包括悲伤度、舞蹈性等音乐特征，适用于自然语言处理和音乐分析研究。数据通过API抓取，以CSV格式提供，涵盖广泛的音乐类型和时期。