---
license: mit
task_categories:
- mir
language:
- en
tags:
- music
- art
pretty_name: Song Structure Annotation Database
size_categories:
- n<1K
---

## Dataset Description
- **Homepage:** <https://ccmusic-database.github.io>
- **Repository:** <https://huggingface.co/datasets/CCMUSIC/song_structure>
- **Paper:** <https://doi.org/10.5281/zenodo.5676893>
- **Leaderboard:** <https://ccmusic-database.github.io/team.html>
- **Point of Contact:** N/A

### Dataset Summary
This database contains 300 pop songs (.mp3 format, downloaded from NetEase Cloud Music), as well as a structure annotation file (.txt format) for each song. The song structure is labeled as follows: intro, chorus, verse, pre-chorus, post-chorus, bridge, ending.

### Supported Tasks and Leaderboards
mir

### Languages
Chinese, English

## Dataset Structure
### Data Instances
.wav, .txt

### Data Fields
```
intro, chorus, verse, pre-chorus, post-chorus, bridge, ending
```

### Data Splits
train, valid, test

## Dataset Creation
### Curation Rationale
Lack of a dataset for Song Structure

### Source Data
#### Initial Data Collection and Normalization
Zhaorui Liu, Monan Zhou

#### Who are the source language producers?
Students from CCMUSIC

### Annotations
#### Annotation process
Students from CCMUSIC collected 300 pop songs, as well as a structure annotation file for each song

#### Who are the annotators?
Students from CCMUSIC

### Personal and Sensitive Information
Due to copyright issues with the original music, only features of audios by frame are provided in the dataset

## Considerations for Using the Data
### Social Impact of Dataset
Promoting the development of AI music industry

### Discussion of Biases
Only for mp3

### Other Known Limitations
Most are Chinese songs

## Additional Information
### Dataset Curators
Zijin Li

### Licensing Information
```
MIT License

Copyright (c) 2023 CCMUSIC

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```

### Citation Information
```
@dataset{zhaorui_liu_2021_5676893,
  author       = {Zhaorui Liu, Monan Zhou, Shenyang Xu and Zijin Li},
  title        = {{Music Data Sharing Platform for Computational Musicology Research (CCMUSIC DATASET)}},
  month        = nov,
  year         = 2021,
  publisher    = {Zenodo},
  version      = {1.1},
  doi          = {10.5281/zenodo.5676893},
  url          = {https://doi.org/10.5281/zenodo.5676893}
}
```

### Contributions
Provide a dataset for Song Structure