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US Chart Hits 1950-2019 with Lyrics
Entertainment & Media Consumption
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About
This dataset provides a curated collection of the top 10 popular songs from the United States for each year, spanning from 1950 to 2019. It aims to offer insights into social patterns and cultural shifts over these decades within the US, and by extension, globally. Each entry includes the song's chart year, its rank, the performing artist(s), the song title, and the full lyrics. While most lyrics are in English, a few are in other languages, and some entries do not include lyrics.
Columns
- year: The specific year the song entered or was featured in the chart.
- rank: The song's position in the annual chart, without normalisation.
- artist: The name(s) of the artist(s) who performed the song, without normalisation.
- song: The title or name of the song.
- lyrics: The full lyrics of the song, with a pipe character ( | ) indicating a new line.
Distribution
The dataset is provided in CSV format. It contains 5 columns and 700 rows, representing 10 top songs for each of the 70 years covered.
Usage
This dataset is ideal for:
- Analysing social and cultural trends: Explore how popular music reflects societal changes over seven decades.
- Musicology and historical research: Study the evolution of music styles, popular artists, and lyrical themes from 1950 to 2019.
- Natural Language Processing (NLP): Utilise the lyrics for text analysis, sentiment analysis, topic modelling, or training language models.
- Data visualisation: Create visualisations to illustrate music popularity trends, artist dominance, and lyrical content changes over time.
Coverage
- Geographic Scope: United States.
- Time Range: From 1950 to 2019.
- Data Availability Notes: The dataset includes 10 top songs for each year within this 70-year period. While most lyrics are in English, there is at least one non-English entry (e.g., Korean), and a small number of entries do not contain lyrics.
License
CC0
Who Can Use It
This dataset is suitable for:
- Researchers and Academics: Those studying sociology, cultural history, linguistics, or music theory looking for a structured dataset of popular culture.
- Data Scientists and Analysts: Individuals interested in applying NLP techniques to music lyrics or performing time-series analysis on music trends.
- Developers: Those building applications related to music discovery, historical archives, or lyrical analysis.
- Music Enthusiasts: Anyone with an interest in the history of popular music in the US.
Dataset Name Suggestions
- US Chart Hits 1950-2019 with Lyrics
- American Pop Music Archive (1950-2019)
- Historical US Song Chart Data
- Decades of US Top Songs & Lyrics
- US Music Chart Evolution (1950-2019)
Attributes
Original Data Source: Top US Songs from 1950 to 2019, w. lyrics
QUALITY