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edwixx/karaoke_songs_long

Karaoke Songs Long Dataset (karaoke_songs_long) A comprehensive collection of instrumental karaoke versions of popular songs in WAV format, spanning multiple genres and artists. Includes a captions.csv file with metadata for each track. Dataset Description This dataset contains hundreds of instrumental karaoke tracks (vocals removed/downmixed) in high-quality WAV format. The songs cover a wide range of artists — from Adele and Taylor Swift to Queen, Elvis Presley… See the full description on the dataset page: https://huggingface.co/datasets/edwixx/karaoke_songs_long.

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Dataset Card

Karaoke Songs Long Dataset (karaokesongslong)

A comprehensive collection of instrumental karaoke versions of popular songs in WAV format, spanning multiple genres and artists. Includes a captions.csv file with metadata for each track.

Dataset Description

This dataset contains hundreds of instrumental karaoke tracks (vocals removed/downmixed) in high-quality WAV format. The songs cover a wide range of artists — from Adele and Taylor Swift to Queen, Elvis Presley, and international artists — making it suitable for karaoke applications, singing voice analysis, and music information retrieval research.

Use Cases

  • —Karaoke Applications: Build karaoke apps with a pre-curated song library
  • —Singing Voice Separation Research: Use as reference instrumental tracks for source separation evaluation
  • —Music Information Retrieval: Analyze song structure, chord progressions, and genre classification
  • —Audio Augmentation: Add instrumental tracks as background for audio dataset augmentation
  • —Music Education: Provide backing tracks for vocal practice and performance

File Inventory

Audio Files

The dataset contains approximately 300+ instrumental karaoke WAV files in the root directory, named by artist and song title. Examples include:

ArtistSong
AdeleHello, Someone Like You, Rolling In The Deep, Set Fire To The Rain, Skyfall, Easy On Me
Taylor SwiftShake It Off, Blank Space, Bad Blood, Cruel Summer, Lover, All Too Well, Style
Ed SheeranShape Of You, Perfect, Photograph, Thinking Out Loud, Happier, Castle On The Hill
QueenBohemian Rhapsody, Don't Stop Me Now, I Want To Break Free
Whitney HoustonI Will Always Love You, I Wanna Dance With Somebody, I Have Nothing
Ariana Grande7 Rings, thank u next, Dangerous Woman, Into You, God Is A Woman
The BeatlesLet It Be, Here Comes The Sun, I Want To Hold Your Hand
Elvis PresleyCan't Help Falling In Love
Celine DionMy Heart Will Go On, It's All Coming Back To Me Now

Plus many more from artists including Billie Eilish, Maroon 5, Sam Smith, Rihanna, Lady Gaga, Bruno Mars, Coldplay, Sia, One Direction, Dua Lipa, Lana Del Rey, and numerous international artists (Tagalog, Indonesian, and other language karaoke tracks).

Metadata File

FileDescriptionSize
captions.csvCSV file with song metadata (artist, title, duration, etc.)—
README.mdDataset documentation (this file)—
*.wav300+ instrumental karaoke tracks in WAV format~25.6 GB total

Usage

Loading the Dataset

python
from datasets import load_dataset
import pandas as pd

# Load dataset
dataset = load_dataset("edwixx/karaoke_songs_long", trust_remote_code=True)

# Or read captions directly
captions = pd.read_csv("captions.csv")
print(f"Total tracks: {len(captions)}")

Working with Audio

python
import librosa

# Load a specific karaoke track
audio, sr = librosa.load("Adele_-_Hello_(Karaoke_Version).wav", sr=22050)
print(f"Duration: {len(audio)/sr:.2f} seconds")

Searching for Songs

bash
# List all Adele karaoke tracks
ls *Adele*.wav

# Search captions for a specific artist
grep -i "queen" captions.csv

Metadata

  • —Author: Anurag Kanade
  • —Language: English (primarily), with some international tracks
  • —License: MIT
  • —Hosted by: Hugging Face Datasets
  • —Created: 2025-11-21
  • —Last Updated: 2026-06-25
  • —Storage Size: ~25.6 GB
  • —File Format: WAV (PCM, multi-channel instrumental)
  • —Downloads: 10

Citation

bibtex
@misc{edwixx-karaoke_songs_long,
  author = {Anurag Kanade},
  title = {karaoke_songs_long},
  year = {2026},
  publisher = {Hugging Face},
  journal = {Hugging Face Hub},
  howpublished = {\url{https://huggingface.co/datasets/edwixx/karaoke_songs_long}}
}