huggingartists/lazy-jay
Text Generation • Updated • 4
text stringclasses 6
values |
|---|
Hey, I can be the answer
I’m ready to dance when the vamp up
And when I hit that dip get your camera
You could see I been that bitch since the Pamper
And that I am that young sis the beacon
The bitch who wants to compete and
-I can freak a fit that pump with the peep and
-You know what your bitch become when her weave ... |
Jay-Z Freestyle
Yeah yall this Jay-Z, coolin out with the Funk Flex
60 Minutes of Funk, volume two, how we do
Motherfucker, yeah you dont stop
You wont quit, Jay-Z drop shit like this
Aiyyo, my records sell cause I was born to do it
Kick that Willie shit well, cause Im really gonna do it
The voice of the hustlers, who ... |
Whats good? was the question
Tell em tuck the chains in your chest and
Peeps wanna sleep on Steve like the Westin
Rip if the script is cheap or investin
Philly on the grind, our boys get it crackin
Might light shit up like its Jackson
Cats with a past, down for some action
Hit on the pitch and swing with a passion
Cash... |
I wanna be drunk when I wake up
On the right side of the wrong bed
And never an excuse I made up
Tell you the truth I hate
What didnt kill me
It never made me stronger at all
Love will scar your make-up, lip sticks to me
So now I maybe lean back there
Im sat here wishing I was sober
I know Ill never hold you like I use... |
I wanna be drunk when I wake up
On the right side of the wrong bed
And every excuse I made up
Tell you the truth I hate
What didnt kill me
It never made me stronger at all
Love will scar your make-up lip sticks to me
So now Ill maybe leave back there
Im sat here wishing I was sober
I know Ill never hold you like I used... |
Oh my god i like to fuck dogs. get over it |
Dataset Card for "huggingartists/lazy-jay"
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
Languages
en
How to use
How to load this dataset directly with the datasets library:
from datasets import load_dataset
dataset = load_dataset("huggingartists/lazy-jay")
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: astringfeature.
Data Splits
| train | validation | test |
|---|---|---|
| 6 | - | - |
'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/lazy-jay")
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
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@InProceedings{huggingartists,
author={Aleksey Korshuk}
year=2021
}
About
Built by Aleksey Korshuk
For more details, visit the project repository.
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Homepage:
github.com
Repository:
github.com
Size of downloaded dataset files:
12.1 kB
Size of the auto-converted Parquet files:
25.4 kB
Number of rows:
6
Models trained or fine-tuned on huggingartists/lazy-jay