Wiki Music dataset

Wiki Music数据集是由Profilio Company s.r.l.的Fabio Celli创建，旨在通过整合风格、心理学、社会学和类型特征，按音乐流派和时间索引，进行流行音乐的计算分析。该数据集包含77个流行音乐流派，每个流派都根据Wikipedia描述进行评分，并标注了时间、地点、媒体、情感和风格等多维度特征。数据集的创建过程涉及从Wikipedia收集流派列表，并由独立评分者根据Wikipedia页面和样本进行评分。Wiki Music数据集主要应用于流行音乐趋势分析和未来音乐流派特征的预测，旨在通过数据科学技术揭示流行音乐中的潜在模式。

The Wiki Music Dataset was created by Fabio Celli of Profilio Company s.r.l., with the objective of conducting computational analysis of popular music through genre and temporal indexing, integrating stylistic, psychological, sociological and categorical features. This dataset includes 77 popular music genres, each scored based on its corresponding Wikipedia description, and annotated with multi-dimensional attributes including time, location, media, emotion and style. The development process of the Wiki Music Dataset involves collecting genre lists from Wikipedia, and having independent raters perform scoring based on Wikipedia pages and music samples. The Wiki Music Dataset is mainly applied to popular music trend analysis and the prediction of future music genre characteristics, aiming to uncover latent patterns in popular music through data science techniques.