task_categories:audio-classification size_categories:1K<n<10K language:zh language:en license:mit music art region:us
---
license: mit
task_categories:
- audio-classification
language:
- zh
- en
tags:
- music
- art
pretty_name: Chinese Traditional Instrument Sound Database
size_categories:
- 1K<n<10K
---
# Dataset Card for Chinese Traditional Instrument Sound Database
## Dataset Description
- **Homepage:** <https://ccmusic-database.github.io>
- **Repository:** <https://huggingface.co/datasets/ccmusic-database/CTIS>
- **Paper:** <https://doi.org/10.5281/zenodo.5676893>
- **Leaderboard:** <https://ccmusic-database.github.io/team.html>
- **Point of Contact:** N/A

### Dataset Summary
There are at least two western musical instrument sound databases that are freely available, while there is not a similar Chinese musical instrument sound database. As an important part of gorgeous Chinese culture, the unique acoustic characteristics and playing techniques of Chinese instruments have attracted wide attention from researchers and people around the world. Thus, a long-waited Chinese Traditional Instrument Sound (CTIS) database was built. Up to 287 kinds of Chinese traditional musical instruments, improved Chinese musical instruments and Chinese ethnic musical instruments are included. Among them, some are seldom seen by most ordinary Chinese people.

### Supported Tasks and Leaderboards
MIR, audio classification

### Languages
Chinese, English

## Dataset Structure
### Data Instances
.zip(.wav), .csv

### Data Fields
Up to 287 kinds of Chinese traditional musical instruments, improved Chinese musical instruments and Chinese ethnic musical instruments

### Data Splits
instruments, percussion

## Dataset Creation
### Curation Rationale
Lack of a dataset for Chinese traditional musical instruments

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

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

### Annotations
#### Annotation process
Building a high-quality musical sound database requires consideration on every aspect of the criteria in terms of the recording environment, performer, sample content, annotation standard and quality of recording and performing.

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

### Personal and Sensitive Information
None

## Considerations for Using the Data
### Social Impact of Dataset
Advancing the Digitization Process of Traditional Chinese Instruments

### Discussion of Biases
Only for Traditional Chinese Instruments

### Other Known Limitations
Sample imbalance

## Additional Information
### Dataset Curators
Zijin Li

### Licensing Information
```
MIT License

Copyright (c) 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 Chinese Traditional Instrument Sounds