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Global Song Information Dataset
Entertainment & Media Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides detailed information about songs, including the artist, title, and lyrics. It is primarily designed for use in Natural Language Processing (NLP) tasks, offering a valuable resource for analysing textual data within the entertainment and media domain.
Columns
- Artist: The name of the musician or group who performed the song. This column contains unique values representing various artists, with a significant portion attributed to artists like Taylor Swift and Billie Eilish.
- Title: The name of the song. This column lists unique song titles.
- Lyrics: The textual content of the song's lyrics.
Distribution
The dataset is presented in a tabular format. While specific numbers for rows or records are not explicitly provided, it includes information on 742 unique artist values and 745 unique title values. Data files are typically in CSV format.
Usage
This dataset is ideally suited for a variety of applications, including:
- Developing and training NLP models for text analysis.
- Researching lyrical themes and patterns across different artists or genres.
- Building music recommendation systems based on lyrical content.
- Exploring trends in popular music by artist and song.
Coverage
The dataset has a global regional coverage, making it applicable for worldwide analysis. Specific time ranges or demographic scopes are not detailed.
License
CCO
Who Can Use It
This dataset is particularly useful for:
- Data scientists and machine learning engineers focusing on NLP.
- Researchers studying musicology or cultural trends through lyrical analysis.
- Students and beginners in data science looking for an accessible dataset for text-based projects.
- Anyone interested in entertainment and media consumption data.
Dataset Name Suggestions
- Popular Song Lyrics Data
- Artist Song Lyrics Collection
- Music Lyrics Dataset for NLP
- Global Song Information
- Entertainment Lyrics Data
Attributes
Original Data Source: Lyrics
QUALITY