Viral TikTok Songs Dataset

Columns

• track_name: The name of the song track.
• artist_name: The name of the performing artist.
• artist_pop: A measure of the artist's popularity, typically ranging from 18 to 95.
• album: The name of the album the track belongs to.
• track_pop: A measure of the track's popularity, typically ranging from 0 to 97.
• danceability: Indicates how suitable a track is for dancing, based on musical elements such as tempo and rhythm stability. Values range from 0.0 (least danceable) to 1.0 (most danceable).
• energy: Represents a perceptual measure of intensity and activity, ranging from 0.0 to 1.0. Higher values suggest faster, louder, and noisier tracks.
• loudness: The overall loudness of a track in decibels (dB), averaged across the entire track. Values typically range between -60 and 0 dB.
• mode: Indicates the modality (major or minor) of a track. Major is represented by 1 and minor by 0.
• key: The musical key the track is in, mapped to pitches using standard Pitch Class notation (e.g., 0 = C, 1 = C♯/D♭). A value of -1 means no key was detected.
• speechiness: Detects the presence of spoken words. Values above 0.66 indicate tracks probably made entirely of spoken words; between 0.33 and 0.66 suggest mixed content (music and speech); below 0.33 likely represent music.
• acousticness: A confidence measure from 0.0 to 1.0 of whether the track is acoustic, with 1.0 indicating high confidence.
• instrumentalness: Predicts whether a track contains no vocals. Values closer to 1.0 indicate a greater likelihood of no vocal content.
• liveness: Detects the presence of an audience. Higher values suggest an increased probability the track was performed live, with values above 0.8 indicating a strong likelihood.
• valence: Measures the musical positiveness conveyed by a track, from 0.0 to 1.0. High valence means positive (e.g., happy, cheerful), low valence means negative (e.g., sad, depressed).
• tempo: The overall estimated tempo of a track in beats per minute (BPM), representing the speed or pace.
• time_signature: An estimated time signature, indicating how many beats are in each bar. Ranges from 3 to 7 (e.g., 3/4 to 7/4).
• duration_ms: The duration of the track in milliseconds.

Distribution

Usage

• Analysing music trends and popularity on TikTok.
• Understanding the characteristics of songs that gain traction on social media platforms.
• Researching the impact of TikTok on global music charts and artist visibility.
• Developing predictive models for viral song potential.
• Supporting music industry insights and strategic planning.

Coverage

License

Who Can Use It

• Data Analysts and Researchers interested in music, social media, and trend analysis.
• Music Industry Professionals looking for insights into track performance and artist popularity on digital platforms.
• Social Media Strategists and Marketers aiming to understand content virality in the music domain.
• Academics studying the intersection of technology, culture, and music.

Dataset Name Suggestions

• TikTok 2022 Song Metrics
• Popular TikTok Tracks 2022
• 2022 TikTok Music Insights
• TikTok Audio Features 2022
• Viral TikTok Songs Dataset

Attributes