huggingartists/pop-smoke

---
language:
- en
tags:
- huggingartists
- lyrics
---

# Dataset Card for "huggingartists/pop-smoke"

## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [How to use](#how-to-use)
- [Dataset Structure](#dataset-structure)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)

## Dataset Description

- **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
- **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of the generated dataset:** 0.512514 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/41eeb550a79204cee6bdee9acdb584a2.1000x1000x1.jpg&#39;)">
</div>
</div>
<a href="https://huggingface.co/huggingartists/pop-smoke">
<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">Pop Smoke</div>
<a href="https://genius.com/artists/pop-smoke">
<div style="text-align: center; font-size: 14px;">@pop-smoke</div>
</a>
</div>

### Dataset Summary

The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.
Model is available [here](https://huggingface.co/huggingartists/pop-smoke).

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

en

## How to use

How to load this dataset directly with the datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("huggingartists/pop-smoke")
```

## 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|
|------:|---------:|---:|
|TRAIN_0.512514| -| -|

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

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

datasets = load_dataset("huggingartists/pop-smoke")

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](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

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

原始信息汇总

数据集概述

数据集名称

• 名称: "huggingartists/pop-smoke"

数据集描述

• 摘要: 该数据集包含从Genius解析的歌词数据，旨在用于HuggingArtists模型的歌词生成。
• 语言: 英语（en）
• 数据集大小: 0.512514 MB

数据集结构

• 数据字段:
  • text: 字符串类型，包含歌词文本。
• 数据分割:
  • train: 已提供，可进一步分割为train, validation, test。

如何使用

• 使用Python的datasets库加载数据集的示例代码如下: python from datasets import load_dataset dataset = load_dataset("huggingartists/pop-smoke")

数据集创建

• 来源数据: 数据来自Genius网站，具体的数据收集和标准化过程未详细说明。
• 注释: 注释过程和注释者信息未详细说明。
• 个人和敏感信息: 相关信息未详细说明。

使用数据的考虑

• 社会影响: 未详细说明。
• 偏见讨论: 未详细说明。
• 其他已知限制: 未详细说明。

附加信息

• 数据集管理员: 未详细说明。

• 许可信息: 未详细说明。

• 引用信息:

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