# The Wiki Music dataset: A tool for computational analysis of popular music

arXiv: https://arxiv.org/abs/1908.10275 · HTML: https://mlsanity.com/paper/1908.10275/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Aug 2019.

## Built on by (most cited first, 1 of 1)

- [Cultural Biases of Large Language Models and Humans in Historical Interpretation](https://mlsanity.com/paper/2504.02572/) (2025)

## Abstract (arXiv)

Is it possible use algorithms to find trends in the history of popular music? And is it possible to predict the characteristics of future music genres? In order to answer these questions, we produced a hand-crafted dataset with the intent to put together features about style, psychology, sociology and typology, annotated by music genre and indexed by time and decade. We collected a list of popular genres by decade from Wikipedia and scored music genres based on Wikipedia descriptions. Using statistical and machine learning techniques, we find trends in the musical preferences and use time series forecasting to evaluate the prediction of future music genres.