huggingartists/placebo

Dataset Card for "huggingartists/placebo"

Table of Contents

• —Dataset Description
• —Dataset Summary
• —Supported Tasks and Leaderboards
• —Languages
• —How to use
• —Dataset Structure
• —Data Fields
• —Data Splits
• —Dataset Creation
• —Curation Rationale
• —Source Data
• —Annotations
• —Personal and Sensitive Information
• —Considerations for Using the Data
• —Social Impact of Dataset
• —Discussion of Biases
• —Other Known Limitations
• —Additional Information
• —Dataset Curators
• —Licensing Information
• —Citation Information
• —About

Dataset Description

• —Homepage: https://github.com/AlekseyKorshuk/huggingartists
• —Repository: https://github.com/AlekseyKorshuk/huggingartists
• —Paper: More Information Needed
• —Point of Contact: More Information Needed
• —Size of the generated dataset: 0.281462 MB

<div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://images.genius.com/c7e467de49cab7cdcc1d52c9c95ccd47.931x931x1.jpg&#39;)"> </div> </div> <a href="https://huggingface.co/huggingartists/placebo"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Placebo</div> <a href="https://genius.com/artists/placebo"> <div style="text-align: center; font-size: 14px;">@placebo</div> </a> </div>

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/placebo")

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' 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/placebo")

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




For more details, visit the project repository.