README.md

---
license: cc-by-nc-nd-4.0
task_categories:
- audio-classification
language:
- zh
- en
tags:
- music
- art
pretty_name: Chinese Traditional Instrument Sound Dataset
size_categories:
- 1K<n<10K
viewer: false
---

# Dataset Card for Chinese Traditional Instrument Sound
The raw dataset is sourced from the [Chinese Traditional Instrument Sound](https://ccmusic-database.github.io/en/database/ctis.html), which contains recordings from over 200 types of Chinese traditional instruments, modified Chinese musical instruments, and instruments from ethnic minority groups. Notably, some of these instruments are rarely encountered by the majority of the Chinese populace.

Based on the aforementioned raw dataset, after data processing, we have constructed the `default subset` of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/CTIS/dataPeview). As the dataset has been cited and used in published articles, the step of further constructing the `eval subset` for evaluation has been omitted. This dataset is intended for retrieval tasks, hence no further splits have been made, and currently, there is only one split, which is the training set (train).

## Viewer
<https://www.modelscope.cn/datasets/ccmusic-database/CTIS/dataPeview>

## Dataset Structure
<style>
  .ctis td {
    vertical-align: middle !important;
    text-align: center;
  }
  .ctis th {
    text-align: center;
  }
</style>
<table class="ctis">
    <tr>
        <td>audio</td>
        <td>mel</td>
        <td>label (200+class)</td>
        <td>cname (string)</td>
    </tr>
    <tr>
        <td>.wav, 44100Hz</td>
        <td>.jpg, 44100Hz</td>
        <td>C0090/<br>C0091/<br>...<br>T0323</td>
        <td>大笒/<br>高音横笛/<br>...<br>都它尔</td>
    </tr>
    <tr>
        <td>...</td>
        <td>...</td>
        <td>...</td>
        <td>...</td>
    </tr>
</table>
          
## 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:** <https://www.modelscope.cn/datasets/ccmusic-database/CTIS>

## Maintenance
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/ccmusic-database/CTIS
cd CTIS
```

### Dataset Summary
During the integration, we first performed data cleaning to remove recordings with no specific instrument labels. The filtered dataset comprises recordings of 200 types of Chinese traditional musical instruments, totaling 3,974 audio clips. On average, there are approximately 20 audio clips per instrument. The data structure of the integrated dataset consists of three columns: an audio column containing audio files in .wav format, all sampled at a uniform rate of 22,050 Hz, a label column with 200 categories corresponding to the Chinese pinyin of the instrument names, and an additional column for the Chinese instrument names. This integrated dataset can be utilized for tasks such as Chinese instrument recognition or instrument acoustic analysis.

### Supported Tasks and Leaderboards
MIR, audio classification

### Languages
Chinese, English

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("ccmusic-database/CTIS", split="train")
for item in ds:
    print(item)
```

### 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

### Evaluation
[1] [李子晋, 韩宝强. 中国传统乐器音响数据库构建研究[J]. 中国音乐学, 2020(02):92-102+2.](https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&dbname=CJFDLAST2020&filename=ZYYX202002013&uniplatform=NZKPT&v=7XgjFhWwxaqXz5fg8DIhkJzfNT6gX9huNMH0y5oRG15SXfwDzqWIOuuquyUDS%25mmd2FJ9)<br>
[2] [Liang X, Li Z, Liu J, et al. Constructing a multimedia Chinese musical instrument database[C]//Proceedings of the 6th Conference on Sound and Music Technology (CSMT). Springer, Singapore, 2019: 53-60.](https://link.springer.com/chapter/10.1007/978-981-13-8707-4_5)<br>
[3] [Li Z, Liang X, Liu J, et al. DCMI: A Database of Chinese Musical Instruments[J].](https://dlfm.web.ox.ac.uk/sites/default/files/dlfm/documents/media/zijin-et-al-dcmi.pdf)

### Citation Information
```bibtex
@dataset{zhaorui_liu_2021_5676893,
  author       = {Monan Zhou, Shenyang Xu, Zhaorui Liu, Zhaowen Wang, Feng Yu, Wei Li and Baoqiang Han},
  title        = {CCMusic: an Open and Diverse Database for Chinese and General Music Information Retrieval Research},
  month        = {mar},
  year         = {2024},
  publisher    = {HuggingFace},
  version      = {1.2},
  url          = {https://huggingface.co/ccmusic-database}
}
```

### Contributions
Provide a dataset for Chinese Traditional Instrument Sounds