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Music Evolution Dataset
Entertainment & Media Consumption
Tags and Keywords
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Free
About
This dataset presents a collection of unique and popular songs spanning various genres released over several decades. Each entry includes essential details such as the song's title, artist, album, release year, genre, and its full lyrics. It offers a rich variety of music, from timeless classics to contemporary hits, showcasing diverse styles including pop, rock, hip hop, R&B, indie, and EDM. This resource is ideal for exploring the varied landscape of popular songs and understanding music trends.
Columns
- Song Title: The title of the song.
- Artist: The name of the artist.
- Album: The name of the album.
- Release Year: The year the song was released.
- Genre: The musical genre of the song.
- Lyrics: The full lyrics of the song.
Distribution
The data file is typically in CSV format. This dataset contains a collection of entries, though the exact total number of records is not specified. It features a diverse selection of songs, reflecting global music trends. The dataset is currently listed with a 5/5 quality rating and is available globally.
Usage
This dataset can be utilised for a variety of applications, including:
- Exploratory data analysis to uncover trends and patterns in music genres across different periods.
- Building recommendation systems to suggest music based on user preferences.
- Conducting sentiment analysis of song lyrics to understand emotional themes associated with genres.
- Studying the evolution of popular music and its cultural impact.
- Training machine learning models for tasks like music classification and genre prediction.
Coverage
The dataset includes songs released from 1965 to 2019, covering several decades of music history. It spans multiple genres such as rock, pop, hip hop, R&B, indie, and EDM. The content is global in scope, allowing for analysis of worldwide music phenomena.
License
CC0
Who Can Use It
This dataset is suitable for:
- Researchers studying music trends and cultural impact.
- Music enthusiasts interested in exploring diverse song collections.
- Data analysts looking to uncover patterns in music data.
- Data scientists training machine learning models for music-related applications.
- Anyone simply curious about the world of music and popular songs.
Dataset Name Suggestions
- Global Music & Lyrics Collection
- Decades of Song Data
- Popular Song Lyrics Database
- Multi-Genre Song Archive
- Music Evolution Dataset
Attributes
Original Data Source: Collection of Diverse Songs with Lyrics
QUALITY