In the blog post where we introduced the new Canonical Metadata dataset, we suggested that a user could now build their own custom music tagging application, without a lot of effort! In this blog post we will walk you through the process of doing just that, using Python.
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New dataset: MusicBrainz Canonical Metadata
The MusicBrainz project is proud to announce the release of our latest dataset: MusicBrainz Canonical Metadata. This geeky sounding dataset packs an intense punch! It solves a number of problems involving how to match a piece of music metadata to the correct entry in the massive MusicBrainz database.
The MusicBrainz database aims to collect metadata for all releases (albums) that have ever been published. For popular albums, there can be many different releases, which begs the question “which one is the main (canonical) release?”. If you want to identify a piece of metadata, and you only have an artist and recording (track) name, how do you choose the correct database release?
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