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Melancholic Chinese ballad with soft acoustic guitar and emotional male vocals about resembling someone from the past
c-pop
Smooth Chinese R&B duet featuring gentle harmonies and minimalist production about unconditional feelings
c-pop
Dark Chinese trap-influenced track with heavy bass and auto-tuned vocals exploring emotional addiction
c-pop
Catchy pop track with playful lyrics about dating drama featuring upbeat production and confident female vocals
pop
Sultry electronic pop with breathy vocals and dark synths about intense desire and dangerous attraction
pop
Smooth R&B with layered harmonies and trap-influenced beats about relationship complications
r&b
Powerful anthem with fierce vocals celebrating female empowerment over hip-hop influenced production
r&b
Experimental bilingual track mixing Chinese and English with edgy electronic production and attitude
c-pop
Energetic cover with powerful vocals and rock-influenced arrangement building to explosive chorus
pop
Synth-pop perfection with dreamy production and lyrics about a complicated summer romance
pop
Ethereal pop with nostalgic production and wistful vocals about memories of past love
pop
Emotional ballad with soaring vocals and orchestral production about desperate love
pop
Vulnerable pop ballad with piano and strings about giving love one final chance
pop
Hyperpop anthem with glitchy production and autotuned vocals celebrating hedonistic partying
pop
Playful pop with witty wordplay and bouncy production about crushing on someone
pop
Electronic pop with dramatic production about awakening from emotional manipulation
pop
High-energy K-pop with video game inspired sounds and confident group vocals
k-pop
Solo K-pop debut with trap beats and fierce attitude showcasing individual star power
k-pop
Smooth R&B-pop with sultry vocals about possessive romance over minimalist beats
pop
Dreamy pop with West Coast vibes and catchy hooks about young love in California
pop
Fierce collaboration with heavy bass and confident dual vocals about irresistible chemistry
k-pop
Emotional pop with raw vocals processing heartbreak over stripped-down production
pop
K-pop solo track celebrating Seoul nightlife with electronic beats and confident delivery
k-pop
Disco-pop with retro production and empowering lyrics about knowing your worth
pop
Latin-pop collaboration with reggaeton influences and fierce female empowerment message
latin
High-energy K-pop with aggressive choreography beats and powerful group chants
k-pop
Dark R&B with moody production featuring male vocals about toxic attraction
r&b
80s-influenced synth ballad with emotional vocals about lost love and regret
pop
Haunting K-pop solo with orchestral production exploring toxic relationships
k-pop
Flirty pop with cheeky lyrics and retro production about unexpected attraction
pop
Dreamy pop with Y2K influences and breathy vocals creating nostalgic summer vibes
pop
Ethereal indie-pop with reverb-heavy production and melancholic vocals about transcendent love
indie
Atmospheric vintage-pop with cinematic strings and dramatic vocals about fame
pop
Dreamy indie track with ambient guitars and intimate vocals creating late-night mood
indie
Dark pop with haunting production and vulnerable vocals about mental health
pop
Atmospheric British indie-rock with moody guitars and emotional male vocals about crime metaphors
indie
Upbeat indie-rock with catchy guitars and romantic lyrics about finding perfect match
indie
Melancholic indie-rock with ambient production exploring complicated relationships
indie
Smooth R&B with intimate vocals and minimalist production about self-love journey
r&b
Alternative R&B with trap influences and layered vocals about complicated love
r&b
Rock anthem with Italian flair mixing aggressive guitars with seductive vocals
rock
Emotional pop ballad with orchestral arrangement dedicated to someone special
pop
Feel-good pop with throwback production celebrating natural beauty and confidence
pop
Uplifting pop with sincere vocals and warm production about unconditional acceptance
pop
Hard-hitting hip-hop with aggressive flow and heavy bass addressing competition
hip-hop
Piano ballad with powerful vocals and emotional delivery about lost love
pop
Inspirational pop with acoustic guitar about overcoming life's challenges
pop
Soft rock ballad with gentle vocals and romantic lyrics about devotion
rock
Emotional power ballad with soaring female vocals about overwhelming love
pop
Orchestral pop ballad with powerful vocals and sweeping production about complete devotion
pop
Viral indie-pop with unique male vocals and intimate production about double takes
indie
Bilingual indie-pop with dreamy production and soft vocals creating intimate atmosphere
indie
Mid-2000s R&B with signature production and smooth vocals about attraction
r&b
Sultry electronic pop with breathy vocals and dark production about physical desire
pop
Hyperpop anthem with distorted production and party-ready energy
pop
Club-ready pop with pulsing beats and confident vocals celebrating success
pop
Dark R&B with vengeful lyrics and cinematic production inspired by martial arts films
r&b
Smooth jazz-influenced track with saxophone and groovy bassline creating chill vibes
r&b
Classic R&B with smooth vocals and timeless production about love's impact
r&b
Emotional R&B ballad with vulnerable vocals about heartbreak and moving on
r&b
Korean rock ballad with emotional guitars and powerful vocals about waiting in the rain
k-rock
Melancholic Korean rock with atmospheric production and emotional delivery about apologies
k-rock
Classic jazz piano piece with elegant melodies evoking winter scenes in New York
jazz
Smooth jazz standard with sophisticated arrangement and relaxed tempo
jazz
Vintage jazz vocal with orchestral backing capturing romantic New England autumn
jazz
Intimate jazz ballad with soft trumpet and vulnerable male vocals about falling too quickly
jazz
Classic jazz standard with melancholic trumpet and gentle swing rhythm about seasonal change
jazz
Cheerful pop with harmonious vocals and optimistic lyrics about feeling on top
pop
Emotional K-pop ballad with delicate vocals and piano-driven melody about final farewells
k-pop
Confident K-pop track with powerful choreography beats and self-assured lyrics about being the best
k-pop
Fierce R&B-pop with attitude-filled vocals and bass-heavy production about confidence
r&b
Nostalgic hyperpop with glitchy production and autotuned vocals about chasing euphoric moments
pop
Sultry alternative R&B with smooth vocals and minimalist beats exploring physical attraction
r&b
Dreamy R&B with ethereal production and layered vocals about the number's significance
r&b
Upbeat K-pop collaboration with playful vocals and party-ready production asking where you at
k-pop
Energetic pop-rock with catchy hooks and confident vocals about non-stop conversation
pop
Bold hip-hop track with fierce female rap and trap beats about dual personalities
hip-hop
Clever wordplay in alt-hip-hop style with catchy production about avoiding reality
hip-hop
Moody indie rock with distinctive British vocals about late night drunk calls
indie
Japanese rock anthem with powerful vocals and driving guitars about rebellion
rock
Explosive dance-pop with infectious beat and party lyrics about lighting up the night
pop
Latin-pop fusion with Colombian rhythms and bilingual vocals about truthful body language
latin
Confident K-pop with Latin influences and fierce choreography celebrating identity
k-pop
Caribbean-influenced pop with commanding vocals and dancehall beats about bad boys
pop
Arena rock anthem with thunderous drums and inspirational lyrics about transformation
rock
Emotional K-rock ballad with heartfelt vocals and guitar-driven melody about past love
k-rock
Progressive house with country vocals building to euphoric drop about awakening
pop
K-pop track mixing English and Korean with smooth production about chasing success
k-pop
Powerful ballad with soaring female vocals and orchestral arrangement about nature
pop
Uplifting pop-rock with youthful energy and positive message about living fully
pop
Neo-soul masterpiece with conscious rap and live instrumentation about societal issues
r&b
Classic 90s R&B with soulful vocals and hip-hop beats defining an era
r&b
Energetic K-pop with catchy hook and synchronized choreography about attraction
k-pop
Dreamy K-pop with minimalist R&B production and soft vocals creating chill vibes
k-pop
Fierce hip-hop anthem with confident female rap and trap production about success
hip-hop
West Coast hip-hop with smooth flow and G-funk production about lifestyle
hip-hop
Conscious hip-hop with introspective lyrics and jazz-influenced beats about growth
hip-hop
Latin reggaeton with infectious beat and Spanish vocals about dancing all night
latin
Modern Latin trap with autotuned vocals and heavy bass about heartbreak
latin
Moody indie rock with jangly guitars and introspective lyrics about youth
indie
End of preview. Expand in Data Studio

Song Genre Classification Text Dataset

Dataset Summary

Purpose: This dataset was created for multi-class text classification of song descriptions into music genres, developed as part of CMU 24-679 coursework to explore text augmentation techniques in NLP.

Quick Stats:

  • 1,122 total samples (102 original + 1,020 augmented)
  • 10 genre categories
  • ~200 character descriptions per sample
  • Balanced augmentation (10x per original)

Contact: [email protected]

Dataset Composition

Features

  • text: String (song description, ~200 characters)
  • label: String (genre category)

Genre Distribution

Genre Original Augmented Percentage
pop 35 350 34.3%
k-pop 15 150 14.7%
r&b 15 150 14.7%
indie 10 100 9.8%
rock 8 80 7.8%
hip-hop 7 70 6.9%
jazz 5 50 4.9%
c-pop 4 40 3.9%
latin 4 40 3.9%
k-rock 3 30 2.9%

Data Splits

  • original: 102 manually written song descriptions
  • augmented: 1,020 synthetically augmented descriptions (10x augmentation per original)

Data Collection Process

Collection Methodology

Song descriptions created between January-February 2025:

  • Based on 100+ popular songs from various streaming platforms
  • Covers music from 1980s-2020s
  • International representation (English, Korean, Chinese, Spanish)
  • Manual description writing without using copyrighted lyrics

Selection Criteria

  • Popular/recognizable songs across genres
  • Diverse cultural and temporal representation
  • Clear genre categorization
  • No explicit content or offensive material

Preprocessing and Augmentation

Preprocessing Pipeline

  1. Standardized to ~200 character descriptions
  2. Removed artist names and song titles from text
  3. Ensured grammatical consistency
  4. Verified genre labels

Augmentation Techniques

Each original generated 10 augmented variants using:

  • EDA: Synonym replacement, random deletion/swap/insertion (3 variants)
  • Character Noise: Random drops and swaps (3 variants)
  • Back-Translation: English → German → English pipeline (1 variant)
  • T5 Paraphrasing: Neural text generation with T5-small (1 variant)
  • Combined: EDA + character noise (2 variants)

Labels and Annotation

Labeling Schema

  • pop: Mainstream pop music
  • k-pop: Korean pop music
  • r&b: Rhythm and blues
  • indie: Independent/alternative
  • rock: Rock and soft rock
  • hip-hop: Rap and hip-hop
  • jazz: Jazz standards
  • c-pop: Chinese pop music
  • latin: Latin/Spanish music
  • k-rock: Korean rock

Annotation Process

  • Manual labeling based on known genre classifications
  • Single-label assignment (no multi-genre)
  • Verified against music platform categorizations

Intended Use and Limitations

Intended Use Cases

  • Text classification model training
  • Studying text augmentation effectiveness
  • NLP educational projects
  • Genre classification research baseline

Limitations

  • Limited to ~200 character descriptions
  • Subjective genre boundaries
  • Western music bias despite international songs
  • Augmented samples may contain grammatical errors
  • Small original dataset size (102 samples)

Out-of-Scope Uses

  • Production music recommendation systems
  • Detailed music analysis (lyrics, audio)
  • Multi-label genre classification
  • Commercial applications without additional data

Ethical Considerations

Representation

  • Attempted balance across major global music markets
  • Acknowledges genre classification subjectivity
  • May not equally represent all music communities

Privacy

  • No personal information included
  • No copyrighted lyrics reproduced
  • Descriptions are original creations

Cultural Sensitivity

  • Genre labels may oversimplify cultural music traditions
  • "World music" avoided as a category due to its problematic nature
  • Users should be aware of Western-centric genre definitions

AI Usage Disclosure

AI-Assisted Components

  • Augmentation: Back-translation using Helsinki-NLP models
  • Paraphrasing: T5-small model for text generation
  • Documentation: README structure refined with AI assistance
  • Descriptions: Written with human knowledge, no lyrics copied

Human Oversight

  • All original descriptions manually written
  • Genre labels manually assigned and verified
  • Augmentation quality manually reviewed
  • No copyrighted material reproduced

Usage Example

from datasets import load_dataset
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression

# Load dataset
dataset = load_dataset("maryzhang/hw1-24679-text-dataset-augmented")

# Prepare data
X_train = dataset['augmented']['text']
y_train = dataset['augmented']['label']
X_test = dataset['original']['text']
y_test = dataset['original']['label']

# Train classifier
vectorizer = TfidfVectorizer(max_features=1000)
X_train_vec = vectorizer.fit_transform(X_train)
X_test_vec = vectorizer.transform(X_test)

clf = LogisticRegression()
clf.fit(X_train_vec, y_train)
accuracy = clf.score(X_test_vec, y_test)
print(f"Accuracy: {accuracy:.2f}")

Citation

bibtex@dataset{zhang2025songgenre, author = {Mary Zhang}, title = {Song Genre Classification Text Dataset}, year = {2025}, publisher = {Hugging Face}, note = {CMU 24-679 Homework 1}, url = {https://huggingface.co/datasets/maryzhang/hw1-24679-text-dataset-augmented} }

License

This dataset is released under the MIT License.

Contact

Dataset created by Mary Zhang for CMU 24-679. For questions or issues, please contact [email protected].

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