text
stringclasses
1 value
Im walking this road because you stole my car Im singing this song cause you have all my CDs You want me to believe in your love And yeah, I will when you give back my stuff Give back my stuff The gerbils are dead your books have found a home Under the tree where I have buried your clothes You want me to believe in your love And yeah, I will when you dig up your stuff Dig up your stuff How am I supposed to learn what love is in this lifetime? How am I supposed to learn what love is, what love is if you go If you go If you go If you go Dont go, dont go, dont go, dont go, dont go, dont go Dont go, dont go, dont go, dont go, dont go, dont go Dont go, dont go, dont go, dont go Im walking this road because you stole my heart Im singing this song cause you have all my CDs You want me to believe in your love And yeah, I do cause I cant love you enough Cant love you enough Give back my stuff You have my love Dont go, dont go, dont go, dont go, dont go, dont go Dont go, dont go, dont go, dont go, dont go, dont go Dont go, dont go, dont go, dont go

Dataset Card for "huggingartists/fascinoma"

Dataset Summary

The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available here.

Supported Tasks and Leaderboards

More Information Needed

Languages

en

How to use

How to load this dataset directly with the datasets library:

from datasets import load_dataset

dataset = load_dataset("huggingartists/fascinoma")

Dataset Structure

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..."
}

Data Fields

The data fields are the same among all splits.

  • text: a string feature.

Data Splits

train validation test
1 - -

'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:

from datasets import load_dataset, Dataset, DatasetDict
import numpy as np

datasets = load_dataset("huggingartists/fascinoma")

train_percentage = 0.9
validation_percentage = 0.07
test_percentage = 0.03

train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))])

datasets = DatasetDict(
    {
        'train': Dataset.from_dict({'text': list(train)}),
        'validation': Dataset.from_dict({'text': list(validation)}),
        'test': Dataset.from_dict({'text': list(test)})
    }
)

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@InProceedings{huggingartists,
    author={Aleksey Korshuk}
    year=2021
}

About

Built by Aleksey Korshuk

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For more details, visit the project repository.

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