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TS Genius Lyrics and Metadata
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About
A collection detailing the released song discography of Taylor Swift, meticulously gathered from the Genius platform. The data was scraped using the Parsel tool, reflecting information maintained by Genius. The collection includes crucial metadata and lyrical content for all unique released songs. It is designed to offer maximum song coverage, preferring deluxe album versions and treating re-recorded tracks ("Taylor's Version") as distinct entries. The dataset is regularly updated on a quarterly basis to ensure currency.
Columns
- album_title: The title of the album as listed on Genius (e.g., THE TORTURED POETS DEPARTMENT: THE ANTHOLOGY).
- album_url: The specific URL linking to the corresponding album page on Genius.
- category: Defines the category of the song or album release (e.g., Non-Album Songs).
- album_track_number: The numerical position of the song within its associated album release.
- song_title: The title of the track as found on Genius.
- song_url: The specific URL linking directly to the song's page on Genius.
- song_artists: A list identifying all performers associated with the track, including any featured artists.
- song_release_date: The original calendar date the song was first released.
- song_page_views: The quantifiable number of page views the song has garnered on the Genius platform.
- song_lyrics: The full lyrics for the song, structured as a list of lines.
- song_writers: A list containing the names of all credited song writers.
- song_producers: A list containing the names of all credited song producers.
- song_tags: A list detailing relevant Genius tags assigned to the song (e.g., Pop, Country, In English).
Distribution
The data product is distributed as a single CSV file, typically named
ts_discography_released.csv, with an approximate size of 886.44 kB. It is structured with 13 distinct columns. The latest sample contains information on 359 valid song records. Specific statistics, such as the minimum release date (June 2006) and maximum release date (June 2024), are reflected in the metadata.Usage
The data is ideally suited for academic and analytical projects. Specific applications include:
- Lyrical Analysis and Natural Language Processing (NLP): Utilise the
song_lyricscolumn to explore word frequency, sentiment analysis, or identify literary devices like the use of similes or metaphors across the artist’s work. - Correlation Analysis: Investigate potential relationships between lyrical themes, credited writers, and producers.
- Cross-Reference Analysis: Combine this data with external streaming statistics (e.g., from Spotify or Apple Music) to examine correlations between Genius page view counts and music consumption patterns.
- Exploratory Data Analysis (EDA): Perform detailed metadata analysis on release patterns, genre tags, and writer collaborations.
Coverage
This dataset spans Taylor Swift’s discography from June 2006 through to June 2024. The scope is focused strictly on released songs, encompassing those from studio albums, re-recorded albums ("Taylor's Version"), soundtracks, non-album singles, and officially recorded covers by or featuring Taylor Swift. The collection explicitly excludes duplicate song entries (e.g., multiple entries for single and album releases of the same track), unreleased or leaked material, covers performed by other artists, simple remixes without new performing artists, and songs that only exist in video formats.
License
CC BY-SA 4.0
Who Can Use It
- Music Researchers: To analyse career trajectories, genre evolution, and collaborative networks.
- Data Scientists: To apply NLP techniques to large volumes of lyric data and build models correlating metadata features.
- Linguists and Literary Scholars: To study evolving language use and stylistic changes within the artist's songwriting.
- Application Developers: To power music discovery or trivia applications with accurate, detailed song metadata.
Dataset Name Suggestions
- Taylor Swift Released Song Discography (Genius)
- TS Genius Lyrics and Metadata
- Taylor Swift Official Song Data Collection
Attributes
Original Data Source: TS Genius Lyrics and Metadata
QUALITY