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Genre
stringlengths
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opera
musical
punk rock
music of Israel
conjunto
rapping
rock and roll
jazz
Baroque music
classical music
symphony
concerto
blues
flamenco
electronic music
reggae
hardcore punk
emo
screamo
grunge
alternative rock
rock music
hip-hop
samba
bagad
Classical period
ancient music
batucada
alternative metal
dubstep
house music
brostep
moombahton
music of Uruguay
German rock
Gregorian chant
proto-punk
pop music
jazz-funk
heavy metal music
bachata
post-metal
folk music
rhythm and blues
baroque pop
jump-up
Albanian iso-polyphony
mashup
progressive rock
black comedy
ska
digital hardcore
power metal
disco
dhrupad
sermon
Khyal
Christian punk
Thumri
tappa
glam rock
ca trù
Gstanzl
hard rock
country music
oratorio
bebop
jazz fusion
audiobook
ballad opera
vocal group
Austrian hip hop
white voice
sonata
soul
visual kei
mantra
J-pop
black metal
chiptune
French hip-hop
zajal
toccata
conscious hip-hop
Igbo music
stand-up comedy
Zamrock
zarzuela
mazurka
cuarteto
music of Ukraine
ars antiqua
medieval music
funk
operetta
trance
techno
vocal house
cantata
West Coast blues
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Music Genre Dataset

6698 unique music genre names scraped from Wikidata music-genre lists, deduplicated and cleaned into a single-column CSV.

Links: Hugging Face · Kaggle

Dataset Summary

  • Rows: 6698
  • Columns: 1 (Genre)
  • Source: Wikidata WikiProject Music
  • Format: CSV

Description

A comprehensive list of music genre labels collected from two Wikidata WikiProject Music pages:

Covers everything from classical and jazz to niche subgenres like Buddhist metal and Afro-Raga.

Use Cases

  • Text classification / genre tagging
  • Music recommendation systems
  • NLP embeddings and clustering
  • Music taxonomy research

Sample

# Genre
1825 slam death metal
1152 ambient house
2909 Finnish jazz
4171 Spieloper
1626 benna
2824 Albanian folk music
1581 21st-century classical music
4410 Middle Eastern hip hop
6377 first wave black metal
292 West Coast hip-hop

Collection Method

Genres were scraped from Wikidata wikitable elements using Python (requests + BeautifulSoup), then deduplicated and cleaned into a single Genre column.

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