What is million Song dataset?

The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. Its purposes are: To encourage research on algorithms that scale to commercial sizes. To provide a reference dataset for evaluating research.

How do you find the data of a song?

Here are some of the best music data APIs and their most common use cases:

  1. Shazam. Identify any song, discover, artists, lyrics, videos & playlists with the Shazam API.
  2. TheAudioDB.
  3. Deezer.
  4. Mourits Lyrics.
  5. iTunes.
  6. Spotify.
  7. LastFM.
  8. 30,000 radio stations and music charts.

What is MSD dataset?

The Million Song Dataset (MSD) is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. This is a subset of the MSD and contains audio features of songs with the year of the song. The purpose being to predict the release year of a song from audio features.

What is the metadata of a song?

A definition of metadata in the context of music is the information embedded in an audio file that is used to identify the content. If the song file itself is the data, the metadata is the song title or artist name, the track length, the BPM, or genre.

What is meta data for a song?

Music metadata, more specifically, is the collection of information that pertains to a song file, such as Artist Name, Producer, Writer, Song Title, Release Date, Genre or Track Duration, to name a few.

What is Echo Nest API?

The Echo Nest is a music intelligence and data platform for developers and media companies. Its creators intended it to perform music identification, recommendation, playlist creation, audio fingerprinting, and analysis for consumers and developers.

What is data set type?

Data Set types A Data Set’s type corresponds to the specific type of data you want to import. For example, there are Data Set types for User Data, Cost Data, Content Data, etc.

What is data set classes?

A data class is a list of data set allocation attributes and their values. When end users allocate a data set and refer to a data class either explicitly (for example, through JCL) or implicitly (through ACS routines), SMS allocates the data set using the attribute values of its associated data class.

Why is music metadata important?

The information you enter as metadata allows your music to be properly stored, sorted and identified everywhere your music is available. That means platforms like Spotify, Apple Music, YouTube and even Shazam. It makes your music discoverable. Your music royalties are also dependent on your metadata.

What is meta music?

One of the most intriguing – as well as neglected – areas of musical self-reference is instrumental ‘metamusic’: that is, music which, similar to, for example, metafiction, metapainting or metafilm, draws attention to its status as an artefact and/or (acoustic) medium.

Does the million song dataset include audio?

The dataset does not include any audio, only the derived features. Note, however, that sample audio can be fetched from services like 7digital, using code we provide. The Million Song Dataset is also a cluster of complementary datasets contributed by the community:

Is there a dataset for MSD genres?

The python code to create that dataset is provided, and here is the actual MSD genre dataset. This could also be improved. If you have suggestions, or have other such dataset in mind for your students, let us know!

What’s wrong with the ‘classic pop’ dataset?

Evidently, building such simplified dataset implies huge flaws! The main one is the unbalancedness of the data. The ‘classic pop and rock’ class is represented by 23,895 tracks, while the ‘hip-hop’ one has 434 tracks.