What is Music Data?
Music data refers to a collection of structured information related to various aspects of music, including metadata, audio features, user preferences, and music industry trends. It provides valuable insights into the world of music and its consumers.ÂŁ
Examples of music data include song titles, artist names, album information, genre classifications, and audio features such as tempo, key, and duration. Music data is used for various purposes such as organizing and categorizing music collections, creating playlists, recommending similar songs or artists, analyzing music trends, and powering music streaming platforms. In this page, you’ll find the best data sources for music data.
Best Music Datasets & APIs
OTT (Over-the-Top) Data, Entertainment data, Music Data, Movie Data, IMDB Reviews & Rating Data | Scrape all Publicly available Entertainment Data
Music Data for Machine Learning (ML) | 50,000 Music Files | Updated Weekly | Royalty Free Music | Pre-cleared for Generative AI
Chinese Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Music Data for Large Language Models LLM | 50,000 Music Files | Updated Weekly | Royalty Free Music | Pre-cleared for Generative AI
Japanese Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Soundsnap | 50K Music tracks | Machine Learning (ML) Music data | Stems | Professionally mixed | Cleared for ML/ AI
Country Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Machine Learning Data | Deep Learning Data |Â Music Data |Â 800,000 SFX Professional Sound Effects | Human Metadata
Folk Music Dataset for AI-Generated Music (Machine Learning (ML) Data)
Machine learning Music Data | 50,000 Files | Vocal and Instrumental | Cleared for Generative AI and Machine Learning | Soundsnap
Monetize data on Datarade Marketplace
Frequently Asked Questions
Frequently Asked Questions (FAQs)
What is Music Data?
Music data refers to a collection of structured information related to various aspects of music, including metadata, audio features, user preferences, and music industry trends. It provides valuable insights into the world of music and its consumers.
How is Music Data collected?
Music data can be collected from multiple sources such as music streaming platforms, online music databases, social media platforms, music analytics companies, and user-generated content. It is often gathered through APIs, web scraping, data partnerships, and user surveys.
What is Music Data used for?
Music data has diverse applications in the music industry, including personalized music recommendations, playlist curation, trend analysis, artist discovery, market research, audience segmentation, licensing decisions, and understanding user behavior and preferences.
What’s a quality checklist for Music Data?
A quality checklist for music data should include factors like accuracy of metadata, completeness of information, reliability of the data source, regular updates, consistency in formatting, appropriate licensing and copyright information, and adherence to data privacy regulations.
How is Music Data priced?
The pricing of music data depends on several factors such as the data’s depth, breadth, accuracy, exclusivity, and the provider’s reputation. Pricing models can vary, including one-time purchases, subscription plans, tiered pricing based on data volume or frequency of updates, or customized pricing for enterprise-level solutions.
- Overview
- Datasets
- FAQ