Dataset Title: English-Lyrical-Origins

Description

This dataset contains information about various songs written in English, including their lyrics, artists, country of origin, and whether the artists are native English speakers. While it can be used for linguistic analysis and other text-based machine learning tasks, its primary purpose is to classify songs written by native English speakers versus non-native speakers.

Dataset Structure

Columns & Data Types:

• title (string): The title of the song.
• artist (string): The name of the performing artist or band.
• lyrics (string): The full lyrics of the song.
• native (string): Indicates whether the artist is a native English speaker. (yes or no).
• origin (string): The origin of the artist.

Summary Statistics

• Total Songs: 4,941
• Unique Artists: 86
• Artists Nationalities (34 total): - American, Korean, Japanese, Romanian, Dutch, Ukrainian, Czech, Estonian, Finnish, German, Maltese, Norwegian, Macedonian, Danish, Moldovan, Latvian, Lithuanian, Israeli, Montenegrin, Swedish, Italian, Colombian, Cuban, Canadian French, Belgian, Spanish, Austrian, Polish, Irish, Bulgarian, Greek, English

How to Use

Important! When used for classification tasks, you MUST remove all content between brackets because it may contain data that gives away the label, example: [Chorus - John Lennon], [Verse 1 - Eminem]

import re
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("AdelaCorbeanu/English-Lyrical-Origins")

# Function to remove content between brackets
def remove_content_between_brackets(text):
    return re.sub(r'\[.*?\]', '', text)

# Example: Cleaning lyrics in the 'train' split
train_data = dataset['train']
cleaned_train_lyrics = [remove_content_between_brackets(lyrics) for lyrics in train_data['lyrics']]

# Example: Cleaning lyrics in the 'test' split
test_data = dataset['test']
cleaned_test_lyrics = [remove_content_between_brackets(lyrics) for lyrics in test_data['lyrics']]

Acknowledgments

• Data scraped from GENIUS, a comprehensive lyrics website.
• Compiled for research and educational purposes.