|
--- |
|
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](https://huggingface.co/datasets/Veucci/lyrics_3genre) 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](https://github.com/Veucci/lyrics-to-genre-lite). |
|
|
|
## 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](https://huggingface.co/datasets/Veucci/lyrics_3genre) |
|
|
|
## Quick Start |
|
|
|
```py |
|
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](./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](mailto:efe.ozkan732@gmail.com). |
|
I hope this model helps in your genre classification tasks and inspires further exploration of song lyrics analysis! |
