datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
spotify-tracks-dataset
Content
This is a dataset of Spotify tracks over a range of 125 different genres. Each track has some audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly.
Usage
The dataset can be used for:
Building a Recommendation System based on some user input or preference
Classification purposes based on audio features and available genres
Any other application that you can think of. Feel free to discuss!
Column… See the full description on the dataset page: https://huggingface.co/datasets/maharshipandya/spotify-tracks-dataset.spotify-songsspotify-tracksspotify_audio_features
Spotify Tracks & Audio Features Dataset
Overview
This dataset contains a comprehensive collection of Spotify tracks, combining rich audio feature analysis with track metadata. It is formatted as a high-performance Parquet dataset (ZStandard compressed), optimized for large-scale tabular analysis, machine learning, and recommender system research.
Data Source
The raw data for this dataset was originally gathered and hosted by Anna's Archive.
Original Blog Post:… See the full description on the dataset page: https://huggingface.co/datasets/ozefe/spotify_audio_features.spotify-tracks-lite
Context
This dataset consists of 24000 tracks from 30 genres, and is a shrunk version of maharshipandya/spotify-tracks-dataset dataset. All non-heuristic data is cut and cleaned for better usability and performance.
All data taken from Spotify API and is open source.
This dataset can be used to train prediction models based on user preferences, or categorise tracks by corresponding heuristic.
Column Description
danceability: Danceability describes how suitable a track is… See the full description on the dataset page: https://huggingface.co/datasets/engels/spotify-tracks-lite.top-hits-spotifyspotify_songsReadme
Dataset Description:
This dataset is brought from kaggle: "30000 Spotify Songs". The dataset contains both numeric and categorical variables describing songs available on Spotify. It includes musical characteristics such as danceability, energy, loudness, valence, tempo, and duration, as well as metadata like artist, album, and genre.
Research Question:
What song characteristics make a track more popular on Spotify?
Target Variable:
The target variable is track_popularity, which… See the full description on the dataset page: https://huggingface.co/datasets/uleeberber/spotify_songs.spotify-huge-track-analysis-dataset
Spotify Track Analysis Dataset
General Description
This dataset provides a large-scale, research-oriented analytical representation of Spotify music data.
It is centered on tracks as musical recordings (track_id), while preserving explicit artist attribution as defined by Spotify’s native credit model.
Each row corresponds to a track–artist association, identified by:
a Spotify track identifier (track_id)
a credited artist name (artist_name)
A single track may appear on… See the full description on the dataset page: https://huggingface.co/datasets/GildasLeDrogoff/spotify-huge-track-analysis-dataset.spotify_audio_features_partitionedspotify-million-song-dataset
Dataset Card for Spotify Million Song Dataset
Dataset Summary
This is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song and lyrics. This dataset can be used for recommending songs, classifying or clustering songs.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data… See the full description on the dataset page: https://huggingface.co/datasets/vishnupriyavr/spotify-million-song-dataset.SpotifyLyrics001spotify-lyrics
Dataset Card for Spotify Million Song Dataset
Dataset Summary
This is Spotify Million Song Dataset. This dataset contains song names, artists names, link to the song and lyrics. This dataset can be used for recommending songs, classifying or clustering songs.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data… See the full description on the dataset page: https://huggingface.co/datasets/vancenceho/spotify-lyrics.Spotify_Music_Analytics_and_Popularity_Predictionpodcasts_spotifySpotifyDataspotify-top-10k-songsthis list has been extracted from anna's archive : https://annas-archive.li/blog/spotify/spotify-top-10k-songs-table.html
the script used to scrape can be found here : https://gist.github.com/the-code-rider/96838f5d6ff538377776b6ddbb1c633d
spotify-data-960kSpotify_Audio_features_2.3Membeat_45m_spotify_tracks
Embeat 45M Spotify Tracks
A large-scale music metadata dataset containing 45 million Spotify tracks, combined with the Spotify metadata from Anna's Archive and artist genres from Every Noise at Once.
GitHub project: https://github.com/gdstudio-org/Embeat
Dataset Preview
>>> from datasets import load_from_disk
>>> ds = load_from_disk("GD-Studio/embeat_45m_spotify_tracks")
>>> ds
Dataset({
features: ['track_id', 'track_name', 'isrc', 'popularity', 'explicit'… See the full description on the dataset page: https://huggingface.co/datasets/GD-Studio/embeat_45m_spotify_tracks.spotify-tracks-datasetspotify_popular_tracksspotify-songsSpotifyFeatures_sample
Assignment #1 - EDA & Dataset - orian rivlin
Goal:
Explore which audio features are most strongly related to a track’s popularity on Spotify.
This repository includes the dataset sample, a well-documented notebook, saved figures, and a short video walkthrough.
Dataset
Name: Spotify Features (Sample)
File: SpotifyFeatures_sample.csv
Rows: ~10,000 | Columns: 18 (mostly numeric)
Target: popularity (0–100)
Main numeric features: danceability, energy, loudness, speechiness… See the full description on the dataset page: https://huggingface.co/datasets/orianrivlin/SpotifyFeatures_sample.spotify_audio_features
Spotify Tracks & Audio Features Dataset
Overview
This dataset contains a comprehensive collection of Spotify tracks, combining rich audio feature analysis with track metadata. It is formatted as a high-performance Parquet dataset (ZStandard compressed), optimized for large-scale tabular analysis, machine learning, and recommender system research.
Data Source
The raw data for this dataset was originally gathered and hosted by Anna's Archive.… See the full description on the dataset page: https://huggingface.co/datasets/0xaf/spotify_audio_features.spotifymodelspotify-artistsspotify-dataSelena-Gomez-With-Lyrics-And-Spotify-Audio-Featureshubert_process_filter_spotifyspotify-genresSpotify genres scraped from https://everynoise.com/everynoise1d.cgi?scope=all
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: genre_name
dtype: string
- name: genre_slug
dtype: string
- name: playlist_url
dtype: string
- name: description
dtype: string
splits:
- name: train
num_bytes: 1047789
num_examples: 6276
download_size: 577290
dataset_size: 1047789
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/devxpy/spotify-genres.