|
--- |
|
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). |
