huggingartists/linkin-park

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

# Dataset Card for "huggingartists/linkin-park"

## 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)
- [About](#about)

## 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:** 0.684223 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/a865aac7693c39977b9b402dc364908e.1000x1000x1.jpg&#39;)">
</div>
</div>
<a href="https://huggingface.co/huggingartists/linkin-park">
<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">Linkin Park</div>
<a href="https://genius.com/artists/linkin-park">
<div style="text-align: center; font-size: 14px;">@linkin-park</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/linkin-park).

### 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/linkin-park")
```

## 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|
|------:|---------:|---:|
|529| -| -|

'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/linkin-park")

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
}
```

## About

*Built by Aleksey Korshuk*

[](https://github.com/AlekseyKorshuk)

[](https://twitter.com/intent/follow?screen_name=alekseykorshuk)

[](https://t.me/joinchat/_CQ04KjcJ-4yZTky)

For more details, visit the project repository.

[](https://github.com/AlekseyKorshuk/huggingartists)

原始信息汇总

数据集卡片 for "huggingartists/linkin-park"

数据集描述

• 生成的数据集大小: 0.684223 MB

数据集概述

该数据集是从Genius解析的歌词数据集，旨在使用HuggingArtists生成歌词。模型可在此处获取：HuggingArtists/Linkin-Park。

支持的任务和排行榜

更多信息需要提供。

语言

en

如何使用

使用datasets库直接加载此数据集的方法如下：

python from datasets import load_dataset

dataset = load_dataset("huggingartists/linkin-park")

数据集结构

数据字段

所有拆分中的数据字段相同：

• text: 一个string特征。

数据拆分

train	validation	test
529	-	-

可以使用几行代码轻松地将train拆分为train、validation和test：

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

datasets = load_dataset("huggingartists/linkin-park")

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)}) } )

数据集创建

策划理由

更多信息需要提供。

源数据

初始数据收集和规范化

更多信息需要提供。

源语言生产者

更多信息需要提供。

注释

注释过程

更多信息需要提供。

注释者

更多信息需要提供。

个人和敏感信息

更多信息需要提供。

使用数据时的注意事项

数据集的社会影响

更多信息需要提供。

偏见的讨论

更多信息需要提供。

其他已知限制

更多信息需要提供。

附加信息

数据集策展人

更多信息需要提供。

许可信息

更多信息需要提供。

引用信息

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

关于

由Aleksey Korshuk构建