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Kendrick Lamar Music Data Collection

Entertainment & Media Consumption

Tags and Keywords

Music

Classification

Exploratory

Data

Analysis

Nlp

Text

Pre-processing

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Kendrick Lamar Music Data Collection Dataset on Opendatabay data marketplace

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Free

About

This dataset offers a focused collection of Kendrick Lamar's music, featuring tracks from his studio albums and specific diss tracks aimed at Drake. It combines audio characteristics obtained from Spotify with lyrical content from Genius, providing a rich resource for in-depth analysis of his discography. The purpose is to enable users to explore musical trends, lyrical evolution, and the interplay between audio features and textual content across his career.

Columns

  • track_name: The title of the song.
  • album: The album the track belongs to.
  • release_date: The date the track was released, in YYYY-MM-DD format.
  • duration_ms: The length of the track in milliseconds.
  • popularity: A popularity rating for the track on Spotify.
  • speechiness: An indicator of the presence of spoken words within the track, as determined by Spotify.
  • danceability: A measure from Spotify describing how suitable a track is for dancing based on musical elements.
  • tempo: The estimated tempo of the track in beats per minute (BPM), provided by Spotify.
  • lyrics: The full lyrical content performed by Kendrick Lamar, excluding feature verses.

Distribution

The data typically comes in a CSV file format. It contains 102 unique records, with each record representing a specific track. The dataset is structured tabularly, with distinct columns for track details, audio features, and lyrics.

Usage

This dataset is ideal for various applications, including:
  • Musicological studies: Analysing Kendrick Lamar's artistic development and musical style.
  • Natural Language Processing (NLP): Performing text analysis on lyrics for sentiment, themes, or linguistic patterns.
  • Data analysis and visualisation: Exploring trends in audio features (e.g., tempo, danceability) over time or across albums.
  • Machine learning: Developing models for music genre classification, artist identification, or lyric generation.
  • Academic research: Supporting studies in popular culture, music theory, or digital humanities.

Coverage

The dataset's geographic scope is global. It covers a time range from 14th September 2010 to 4th May 2024, reflecting Kendrick Lamar's release history. It specifically includes songs from his studio albums and four diss tracks targeting Drake. Please note that one specific track, "6:16 in LA", does not include audio features as it was not released on Digital Service Providers (DSPs).

License

CC0

Who Can Use It

This dataset is suitable for:
  • Data Scientists and Analysts: For quantitative analysis, statistical modelling, and building data-driven applications.
  • Music Enthusiasts and Researchers: To gain deeper insights into Kendrick Lamar's discography, lyrical themes, and musical characteristics.
  • NLP Practitioners: For training and testing language models, or performing advanced text analysis on song lyrics.
  • Students and Academics: For educational projects, research papers, and exploring real-world music data.

Dataset Name Suggestions

  • Kendrick Lamar Discography Analytics
  • K-Dot Track Features & Lyrics
  • Kendrick Lamar Music Data Collection
  • Lamar Audio and Lyrical Insights

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

26/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format