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The Björk Musical Evolution Dataset
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About
Diving into the boundary-breaking world of Björk Guðmundsdóttir, this collection provides an extensive look at her musical evolution across several decades. It merges specific audio attributes with textual lyrical content to allow for a multi-dimensional exploration of an artist who famously blends music, art, and technology. By offering a longitudinal perspective on a career spanning from the early 1990s to the mid-2020s, the data facilitates deep dives into the changing sonic landscapes of one of the most innovative figures in contemporary music.
Columns
- track_name: The official title of the song.
- album_name: The name of the album or collection the track belongs to.
- release_date: The date the song was first released, formatted as YYYY-MM-DD.
- duration_ms: The total length of the track measured in milliseconds.
- danceability: A numerical score between 0.0 and 1.0 describing how suitable a track is for dancing based on tempo, rhythm stability, and beat strength.
- energy: A measure from 0.0 to 1.0 representing the perceptual intensity and activity of the music.
- key: The musical key of the song, where integers map to standard pitch class notation.
- loudness: The average volume of the track in decibels.
- mode: Indicates whether the track is in a major or minor key.
- speechiness: An estimate of the presence of spoken words as opposed to sung lyrics.
- acousticness: A confidence measure of whether the track is primarily acoustic.
- instrumentalness: Predicts the likelihood that a track contains no vocal content.
- liveness: Detects the probability that the recording was performed in front of a live audience.
- valence: A measure of the musical positiveness conveyed by the track.
- tempo: The overall estimated speed of the track in beats per minute.
- lyrics_text: The full, processed lyrical content of the song for textual analysis.
Distribution
The information is delivered in a CSV file titled
Bjork_songs.csv with a file size of 292.22 kB. It contains 378 valid records and holds a perfect usability score of 10.00. The data is structured into 16 columns and is intended for annual updates to reflect new releases or metadata changes.Usage
This resource is ideal for conducting sentiment analysis on lyrics to track emotional shifts across different eras of an artist's career. It is also well-suited for musicologists who wish to study the technical evolution of audio production through Spotify's audio features. Data scientists can use the metrics for clustering albums based on their sonic characteristics or for building recommendation systems that focus on avant-garde musical styles.
Coverage
The geographic scope is international, reflecting the global release and impact of Björk's music. Temporally, the collection spans a thirty-year window from 5 July 1993 to 10 April 2024. It includes over 200 unique songs from iconic albums such as Debut, Homogenic, Vulnicura, and Utopia, as well as various singles and collaborative projects.
License
CC BY-SA 4.0
Who Can Use It
Academic researchers in the fields of digital humanities and musicology can leverage these records to quantify artistic transitions. Machine learning practitioners may use the integrated audio and text data to train multi-modal models for genre or mood classification. Additionally, music journalists and fans can utilise the dataset to create data-driven visualisations of Björk’s discography and lyrical themes.
Dataset Name Suggestions
- Björk Discography: Audio Features and Lyrical Archive
- The Björk Musical Evolution Dataset (1993–2024)
- Björk: Spotify Audio Metrics and Lyrics Collection
- Avant-Garde Pop Analysis: The Björk Song Registry
- Björk Guðmundsdóttir: Career-Span Audio and Text Data
Attributes
Original Data Source: The Björk Musical Evolution Dataset
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