Best Music Dataset for Machine Learning

Kristian Gorenc Z

May 15, 2025

When working with machine learning in the music industry, having access to structured and relevant data is crucial. High-quality datasets enable AI models to analyze trends, predict success, and generate valuable insights for artists, labels, and festival organizers. If you're looking for a reliable , Viberate offers structured, customizable datasets designed for various applications.

📌 Viberate Analytics: Professional music analytics suite at an unbeatable price: $19.90/mo. Charts, talent discovery tools, plus Spotify, TikTok, and other channel-specific analytics of every artist out there.

Why Use Music Datasets for Machine Learning?

Music data is essential for training AI models that can recognize patterns in listener behavior, predict streaming success, and even recommend new tracks. With the right dataset, machine learning algorithms can analyze:

• Streaming performance (e.g., Spotify ranks, playlist reach)
• Social media engagement (e.g., YouTube subscribers, TikTok followers)
• Festival and event trends
• The growth and popularity of artists across different platforms

Viberate provides structured music datasets that help businesses, researchers, and developers build predictive models, automate tasks, and gain deeper insights into the music industry.

Customizing Your Music Dataset on Viberate

One of the key advantages of Viberate's music datasets is the ability to fully customize your data selection. Instead of working with generic or irrelevant datasets, you can tailor your dataset based on specific criteria:

• Country: Filter data by country to analyze regional music trends.
• Genre & Subgenre: Focus on specific musical styles to understand their impact.
• Record Label: Compare artists signed under different labels.
• Data Range: Select data based on metrics such as Spotify followers, YouTube views, or playlist reach.

With just a few clicks, you can generate and export your dataset in CSV format, making it easy to integrate into machine learning models and other analytical tools.

What Types of Music Datasets Are Available on Viberate?

Viberate provides various types of music datasets, each offering valuable insights into different aspects of the music industry.

Artist Data

Artist datasets include:

• Rank and name
• Country and genre
• Record label affiliation
• Spotify rank and followers
• YouTube subscribers and video views
• TikTok engagement and more

Festival Data

For those working on festival analytics, Viberate’s festival datasets contain:

• Festival name and country
• Genre focus
• Event size and popularity rank
• Lineup rankings

These datasets help festival organizers, booking agents, and music professionals make data-driven decisions.

Optimized Music Datasets for Machine Learning

Viberate’s datasets are structured to meet the needs of machine learning applications. Whether you are building predictive models for music recommendations or analyzing listener trends, these datasets provide relevant features that enhance model performance. Data points such as Spotify streaming statistics and playlist reach offer crucial insights that can be applied to various AI-driven tasks.

Spotify Datasets: What’s Included?

Spotify data plays a significant role in understanding music consumption trends. The primary data points included in Viberate’s Spotify datasets are:

• Spotify Rank: A ranking system based on an artist’s streaming performance.
• Spotify Followers: The number of users following an artist.
• Spotify Streams: Total streams for a specific time period.
• Playlist Reach: The number of people potentially exposed to an artist’s music through playlists.

By leveraging this data, AI models can better predict song virality, identify emerging artists, and optimize playlist strategies.

How to Download Music Datasets in CSV Format

All music datasets on Viberate are available for download in CSV format. This makes it easy for analysts, developers, and businesses to:

• Conduct offline data analysis
• Import data into machine learning frameworks
• Integrate music data into other applications

Whether you're working on AI-powered music recommendations, market research, or trend forecasting, having structured, exportable datasets simplifies the process.

Conclusion

Access to high-quality music datasets is essential for anyone looking to leverage machine learning in the music industry. Viberate offers structured, customizable datasets that cover artist rankings, festival trends, and Spotify metrics, making it easy to train and refine AI models.

If you're looking for a reliable source of structured music data, Viberate provides downloadable, customizable datasets that can help power your machine learning applications. Explore the possibilities and start optimizing your music AI models today!