Dark Mode
2020 TikTok Song Attributes Dataset
Social Media and Posts
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
the sonic landscape of TikTok in 2020 with this detailed dataset of its most popular songs. This collection provides a rich variety of musical attributes for each track, ranging from basic information like track and artist name to advanced metrics such as danceability, energy, tempo, and valence. It is designed to facilitate in-depth analysis of the musical characteristics that defined viral hits on the platform during that year.
Columns
- track_name: The name of the song.
- artist_name: The name of the artist who performed the song.
- artist_pop: A numerical score indicating the popularity of the artist.
- album: The name of the album the track belongs to.
- track_pop: A numerical score indicating the popularity of the track.
- danceability: A score from 0.0 (least danceable) to 1.0 (most danceable) indicating how suitable a track is for dancing.
- energy: A perceptual measure of intensity and activity, on a scale from 0.0 to 1.0.
- loudness: The overall loudness of the track in decibels (dB), averaged across the entire song.
- mode: Indicates the modality (major or minor scale) of a track. Major is represented by 1 and minor is 0.
- key: The key the track is in, represented by integers using Pitch Class notation (e.g., 0 = C, 1 = C♯/D♭, etc.).
- speechiness: Detects the presence of spoken words in a track on a scale up to 1.0.
- acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic.
- instrumentalness: Predicts the likelihood that a track contains no vocals, with values closer to 1.0 representing a higher probability.
- liveness: Detects the presence of an audience, with higher values indicating a greater probability the track was performed live.
- valence: A measure from 0.0 to 1.0 describing the musical positiveness (e.g., happiness, cheerfulness) conveyed by a track.
- tempo: The overall estimated tempo of a track in beats per minute (BPM).
- time_signature: An estimated time signature, specifying the number of beats in each bar.
- duration_ms: The duration of the track in milliseconds.
Distribution
The dataset is available as a single CSV file,
TikTok_songs_2020.csv, with a size of 35.87 kB. It contains 292 records across 18 columns.Usage
Ideal applications include:
- Analysing trends in popular music on social media.
- Building recommendation engines for music platforms.
- Predicting the next viral hit based on musical attributes.
- Academic research into musicology and cultural trends.
- Training machine learning models to classify music genres or moods.
Coverage
This dataset covers songs that were popular on the TikTok platform specifically during the year 2020. It has a global geographic scope, reflecting the international nature of the platform's user base.
License
CC0: Public Domain
Who Can Use It
- Data Scientists & Analysts: Can perform exploratory data analysis to uncover what musical features correlate with virality.
- Music Producers & A&R Scouts: Can use insights to understand current trends and identify characteristics of hit songs.
- Marketing Professionals: Can analyse the data to inform music selection for social media campaigns.
- Academic Researchers: Can study the intersection of music, technology, and social phenomena.
Dataset Name Suggestions
- TikTok Viral Hits 2020: Musical Analysis
- 2020 TikTok Song Attributes Dataset
- Musical DNA of TikTok's Top 2020 Tracks
- TikTok Popular Songs 2020 Analysis
- Audio Features of Viral TikTok Songs (2020)
Attributes
Original Data Source:2020 TikTok Song Attributes Dataset
QUALITY