Dataset Card for "huggingartists/ghostemane"

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/ghostemane")

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
327 - -

'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/ghostemane")

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

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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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.

GitHub stars

Models trained or fine-tuned on huggingartists/ghostemane