MUHSIC: An Open Dataset with Temporal Musical Success Information

<p>Music is a volatile industry, where its dynamic nature can directly influence artist career behavior. That is, musical careers can suffer ups and downs depending on the current market moment.&nbsp;This dataset provides data about hot streak periods in musical careers, which are defined by high-impact bursts occurring in sequence.</p> <p>Success in the music industry has a temporal structure, as the audience tastes change over time. Here, we use the Billboard Hot 100 charts with Spotify data to represent success over time. For musical careers, we build their time series from the debut date (i.e., date of the first release obtained from Spotify) to the last chart collected. Thus, each point in the time series represents the success of such an artist in a given week, according to the Hot 100 chart.&nbsp;</p> <p>Therefore, we present&nbsp;<strong>MUHSIC</strong>&nbsp;(<strong>Mu</strong>sic-oriented <strong>H</strong>ot <strong>S</strong>treak <strong>I</strong>nformation <strong>C</strong>ollection), which contains:</p> <ul> <li><strong>Charts:</strong> enhanced data on all weekly Hot 100 Charts</li> <li><strong>Artists:</strong> artist success time series with hot streak information</li> <li><strong>Genres:</strong> genre success time series with hot streak information (the genre is the aggregated of all its artists)</li> <li><strong>Hot Streaks:</strong>&nbsp;summarized hot streak information</li> </ul>