TakeWhatsYours/Phonk_music

---
tags:
- music
---
# Dataset Card for Dataset Name

<!-- The dataset only have Phonk music. -->

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

## Dataset Details

### Dataset Description

<!-- 1. track_name: Think of this as the song’s name, like “Happy” or “Shape of You.”

2. artist(s)_name: It’s the name of the people who made the song, like Ed Sheeran or Taylor Swift.

3. danceability_%: This shows how much your feet will want to dance to the song. It’s like a dancing score.

4. energy_%: It’s like the song’s battery level. High energy means the song is super active.

5. bpm: Think of this as the heartbeat of the song. It’s how fast or slow it goes.

6. key: Just like a door key, this tells us what “mood” the song has. It could be happy (major) or sad (minor).

7. loudness: Just how loud the song is.

8. mode: It’s like knowing if the song is smiling (major) or serious (minor).

9. speechiness_%: This is about talking in the song. High ‘speechiness’ means there are more spoken words.

10. acousticness_%: Imagine this as the “acoustic guitar” level. High acousticness means the song sounds natural.

11. instrumentalness_%: This shows how much of the song is just music without singing. High instrumentalness means it’s more like a musical jam.

12. liveness_%: It’s like having a live concert in your headphones. High liveness means you can feel the energy of a live performance.

13. valence_%: This tells us if the song feels happy or not. The higher, the happier.

14. duration_ms: how long the song is-->

- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Got the data from spotify. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Your choice. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## Dataset Structure

<!-- it has duplicates so you might want to clean the data up. After I am done with clean up, I might also upload that here.-->

[More Information Needed]

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[More Information Needed]

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[More Information Needed]

### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

[More Information Needed]

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

[More Information Needed]

**APA:**

[More Information Needed]

## Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[More Information Needed]

## More Information [optional]

[More Information Needed]

## Dataset Card Authors [optional]

[More Information Needed]

## Dataset Card Contact

[More Information Needed]

原始信息汇总

数据集卡片 - 数据集名称

数据集详情

数据集描述

• track_name: 歌曲名称，如“Happy”或“Shape of You”。
• artist(s)_name: 创作歌曲的艺术家名称，如Ed Sheeran或Taylor Swift。
• danceability_%: 歌曲的舞蹈性，表示歌曲的舞蹈程度。
• energy_%: 歌曲的能量水平，高能量表示歌曲非常活跃。
• bpm: 歌曲的节奏，表示歌曲的快慢。
• key: 歌曲的调性，表示歌曲的“情绪”，可能是快乐的（大调）或悲伤的（小调）。
• loudness: 歌曲的响度。
• mode: 歌曲的模式，表示歌曲是快乐的（大调）还是严肃的（小调）。
• speechiness_%: 歌曲中的说话成分，高‘speechiness’表示有更多的口语词。
• acousticness_%: 歌曲的声学水平，高声学性表示歌曲听起来更自然。
• instrumentalness_%: 歌曲中无歌唱的音乐部分，高乐器性表示歌曲更像即兴演奏。
• liveness_%: 歌曲的现场感，高现场感表示你能感受到现场表演的能量。
• valence_%: 歌曲的愉悦度，表示歌曲是否感觉快乐。
• duration_ms: 歌曲的时长。

数据集来源 [可选]

• Repository: [更多信息需要]
• Paper [可选]: [更多信息需要]
• Demo [可选]: [更多信息需要]

使用

直接使用

[更多信息需要]

超出范围的使用

[更多信息需要]

数据集结构

[更多信息需要]

数据集创建

策划理由

[更多信息需要]

源数据

数据收集和处理

[更多信息需要]

源数据生产者是谁？

[更多信息需要]

注释 [可选]

注释过程

[更多信息需要]

注释者是谁？

[更多信息需要]

个人和敏感信息

[更多信息需要]

偏差、风险和限制

[更多信息需要]

建议

用户应了解数据集的风险、偏差和技术限制。更多信息需要以提供进一步建议。

引用 [可选]

BibTeX:

[更多信息需要]

APA:

[更多信息需要]

术语表 [可选]

[更多信息需要]

更多信息 [可选]

[更多信息需要]

数据集卡片作者 [可选]

[更多信息需要]

数据集卡片联系

[更多信息需要]