license: cc-by-nc-4.0
datasets:
- Veucci/lyric-to-3genre
language:
- en
library_name: transformers
tags:
- music
widget:
- text: >-
When I'm away from you, I'm happier than ever Wish I could explain it
better I wish it wasn't true Give me a day or two to think of something
clever To write myself a letter To tell me what to do, mm-mmm Do you read
my interviews? Or do you skip my avenue? (My avenue) When you (when you)
said you were passing through Was I even on your way? I knew when I asked
you to (when I asked you to) Be cool about what I was telling you You'd do
the opposite of what you said you'd do (what you said you'd do) And I'd
end up more afraid Don't say it isn't fair You clearly weren't aware that
you made me miserable So if you really wanna know
example_title: (Pop) Happier Than Ever - Billie Eilish
- text: >-
Look, I was gonna go easy on you and not to hurt your feelings But I'm
only going to get this one chance (six minutes, six minutes) Something's
wrong, I can feel it (six minutes, six minutes, Slim Shady, you're on)
Just a feeling I've got, like something's about to happen, but I don't
know what If that means what I think it means, we're in trouble, big
trouble And if he is as bananas as you say, I'm not taking any chances You
are just what the doctor ordered I'm beginning to feel like a Rap God, Rap
God All my people from the front to the back nod, back nod Now who thinks
their arms are long enough to slap box, slap box? They said I rap like a
robot, so call me Rapbot
example_title: (Hip-Hop) Rap God - Eminem
- text: >-
Come as you are, as you were As I want you to be As a friend, as a friend
As an old enemy Take your time, hurry up Choice is yours, don't be late
Take a rest as a friend As an old Memoria, memoria Memoria, memoria Come
doused in mud, soaked in bleach As I want you to be As a trend, as a
friend As an old Memoria, memoria Memoria, memoria
example_title: (Rock) Come as You Are - Nirvana
Lyrics Genre Classification Model
Description
The model was trained using the BERT language model on my song lyrics dataset to predict the genre of a given song based on its lyrics. This repository houses the machine learning model, which is capable of making predictions in three distinct genres: Pop, Rock, and Hip-Hop. For training and test codes check out Github page.
Dataset
The model was trained on a diverse and labeled dataset of song lyrics, which contained approximately 3000 rows. The dataset was carefully curated to include songs from a wide range of artists and genres, ensuring a comprehensive representation of Pop, Rock, and Hip-Hop music. DATASET
Quick Start
from transformers import pipeline
classifier = pipeline("text-classification", model="Veucci/lyrics-to-genre")
result = classifier("When I'm away from you, I'm happier than ever Wish I could explain it better I wish it wasn't true")
print(result)
License
This dataset is released under the Creative Commons Attribution-NonCommercial license. This means that you are not allowed to use the dataset for commercial purposes. For detailed information about the license, please refer to the LICENSE file.
Contact
If you have any questions, suggestions, or concerns regarding this dataset, please feel free to reach out to email at efe.ozkan732@gmail.com. I hope this model helps in your genre classification tasks and inspires further exploration of song lyrics analysis!