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Global Song & Music Lyrics Collection Dataset
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About
This dataset is designed to provide details on musical compositions, encompassing song names, artist names, direct links to the songs, and their corresponding lyrics. It serves as a foundational resource for a variety of data science and analytics applications, including the development of recommendation systems for music, and tasks involving the classification or clustering of songs.
Columns
- artist: Represents the name of the artist who performs the song. This column contains 643 unique artist names.
- song: Denotes the title of the song. There are 44,824 unique song titles listed.
- link: Provides a direct URL to the song. This column features 57,650 unique links.
- text: Contains the full lyrical content of the song. There are 57,494 unique sets of lyrics.
Distribution
The dataset is typically provided in a CSV file format. While specific total row or record counts are not available in the provided information, the unique value counts for each column suggest a substantial number of entries, consistent with its potential as a "Million Song Dataset". The structure is tabular, with clearly defined columns for artist, song, link, and lyrics.
Usage
This dataset is ideally suited for applications requiring textual analysis of song lyrics or metadata. Key use cases include:
- Developing song recommendation engines based on lyrical content or artist similarity.
- Classifying songs into genres or themes through natural language processing (NLP) of lyrics.
- Clustering songs to identify groups with similar attributes or lyrical styles.
- Academic research into music trends, lyrical patterns, or artist discographies.
Coverage
The dataset has a global coverage, meaning it is not restricted to any specific geographic region. The provided information does not specify a particular time range or demographic scope for the data included.
License
CC0
Who Can Use It
This dataset is particularly useful for:
- Data Scientists and Analysts: For building predictive models, conducting exploratory data analysis, and deriving insights from music data.
- NLP Researchers: For experimenting with text classification, sentiment analysis, or topic modelling on song lyrics.
- Music Enthusiasts and Developers: For creating applications related to music discovery, lyrical analysis, or fan engagement.
- Beginners in Data Science: As a readily accessible dataset for learning fundamental data manipulation and analysis techniques.
Dataset Name Suggestions
- Spotify Song Lyrics Database
- Global Music Lyrics Collection
- Artist Song Lyrics Archive
- Million Song Lyrical Data
- Music Text Analytics Dataset
Attributes
Original Data Source: Spotify Million Song Dataset
QUALITY