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---
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. -->
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### 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. -->
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#### 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. -->
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## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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### 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:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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## More Information [optional]
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## Dataset Card Authors [optional]
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## Dataset Card Contact
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