---
license: mit
task_categories:
- text-generation
language:
- en
- es
- ko
tags:
- music
pretty_name: Pop Lyrics 1k
size_categories:
- 1K<n<10K
---

# Pop Lyrics Dataset

This dataset contains up to 1,000 pop songs with their lyrics, songwriters, genres, and other relevant metadata. The data was collected from Spotify and Genius.

## Dataset Structure

- **track_name**: Name of the song.
- **album**: Album name.
- **release_date**: Release date of the song.
- **song_length**: Duration of the song.
- **popularity**: Popularity score from Spotify.
- **songwriters**: List of songwriters.
- **artist**: Name of the artist.
- **lyrics**: Cleaned lyrics of the song.
- **genre**: List of genres associated with the artist.

## Usage

You can use this dataset for various NLP tasks such as sentiment analysis, lyric generation, or genre classification.

### Example Usage

```python
from datasets import load_dataset

dataset = load_dataset("ashuwhy/poplyrics-1k", split="train")
print(dataset)
```

## Acknowledgements

- [Spotify](https://www.spotify.com) for providing track information.
- [Genius](https://genius.com) for providing song lyrics.
- [Hugging Face](https://huggingface.co.) for hosting the dataset.

## License

This dataset is licensed under the [MIT License](LICENSE).