---
license: mit
task_categories:
- audio-classification
language:
- zh
- en
tags:
- music
- art
pretty_name: Chinese National Pentatonic Mode Dataset
size_categories:
- n<1K
viewer: false
---

# Dataset Card for Chinese National Pentatonic Mode Dataset
The raw dataset includes audio recordings and annotations of five modes of Chinese music, encompassing the Gong, Shang, Jue, Zhi, and Yu modes. Musical pieces collected are mostly composed in pentatonic (five-note) scales, with some of them being hexatonic (six-note) and heptatonic (seven-note) scales. The total recording number is 287 with the average duration being 179.5s.

## Dataset Description
- **Homepage:** <https://ccmusic-database.github.io>
- **Repository:** <https://huggingface.co/datasets/ccmusic-database/CNPM>
- **Paper:** <https://doi.org/10.5281/zenodo.5676893>
- **Leaderboard:** <https://www.modelscope.cn/datasets/ccmusic/CNPM>
- **Point of Contact:** Chinese Ethnic Pentatonic Scale; Database; Music Information Retrieval; Pentatonic Therapy

### Dataset Summary
The expanded dataset is integrated into our database, and each data entry consists of seven columns: the first column denotes the audio recording in .wav format, sampled at 22,050 Hz. The second and third presents the name of the piece and artist. The subsequent columns represent the system, tonic, pattern, and type of the musical piece, respectively. The eighth column contains an additional Chinese name of the mode, while the final column indicates the duration of the audio in seconds.

### Supported Tasks and Leaderboards
MIR, audio classification

### Languages
Chinese, English

## Dataset Structure
|                                                                  audio(.wav, 22050Hz)                                                                   |          mel(.jpg, 22050Hz)          | title  | artist |  system  |  tonic   | pattern |  type   | mode_name | length |
| :-----------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------: | :----: | :----: | :------: | :------: | :-----: | :-----: | :-------: | :----: |
| <audio controls src="https://huggingface.co/datasets/ccmusic-database/CNPM/resolve/main/data/%E5%88%AE%E5%9C%B0%E9%A3%8E%20-%20%E5%BB%96%E8%8E%8E.mp3"> | <img src="./data/刮地风 - 廖莎.jpg"> | string | string | 12-class | 12-class | 5-class | 6-class |  string   | string |
|                                                                           ...                                                                           |                 ...                  |  ...   |  ...   |   ...    |   ...    |   ...   |   ...   |    ...    |  ...   |

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

### Data Fields ###
Mode type, Name, Performer, Album Name, National Mode Name, Tonggong System, Audio Links

### Data Splits
train

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("ccmusic-dabase/CNPM", split='train')

for data in dataset:
    print(data)
```

## Maintenance
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/CNPM
cd CNPM
```

## Dataset Creation
### Curation Rationale
Lack of a dataset for Chinese National Pentatonic Mode

### Source Data
#### Initial Data Collection and Normalization
Weixin Ren, Mingjin Che, Zhaowen Wang, Qinyu Li, Jiaye Hu, Fan Xia, Wei Li, Monan Zhou

#### Who are the source language producers?
Teachers & students from FD-LAMT, CCOM, SCCM

### Annotations
#### Annotation process
Based on the working idea of combining manual labeling with a computer in the construction of the World Music Database, this database collects and labels the audio of five modes (including five tones, six tones and seven tones) of "Gong, Shang, Jue, Zhi and Yu". At the same time, it makes a detailed analysis of the judgment of Chinese national pentatonic modes and finds application scenarios and technical models, which can provide raw data for the analysis and retrieval of Chinese national music characteristics.

#### Who are the annotators?
Teachers & students from FD-LAMT, CCOM, SCCM

### Personal and Sensitive Information
Due to copyright reasons, only some of the audio can be released directly. This part of the audio is the Shang mode and Jue mode tracks performed by professional performers. The rest of the audio needs to be searched and downloaded by the dataset user from music platforms such as Kugou Music, NetEase Cloud Music and QQ Music, based on song titles, artists and album names.

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

### Discussion of Biases
Only for Traditional Chinese Instruments

### Other Known Limitations
Only for Pentatonic Mode

## Additional Information
### Dataset Curators
Weixin Ren, Mingjin Che, Zhaowen Wang, Qinyu Li, Jiaye Hu, Fan Xia, Wei Li.

### Evaluation
[任伟鑫,车明锦,汪照文,孟文武,李沁雨,胡佳弋,夏凡,李伟.CNPM Database:一个用于计算音乐学的中国民族五声调式数据库[J].复旦学报(自然科学版),2022,61(05):555-563.DOI:10.15943/j.cnki.fdxb-jns.20221017.008.](https://kns.cnki.net/kcms2/article/abstract?v=lD5CuVSaeOtw0E2oWliKSMrLiLDt9iwvkwoTgSclPspwUECyt4uNZ6T7DCLlfwMqohXCQXkFzf_XjAUOQ3CAkhPqNj20H8eG9UfUVuHEey0x7Kqp32fMlJiM9xuPtdVMvC1PB2qW0qI=&uniplatform=NZKPT&src=copy)

### Licensing Information
```
MIT License

Copyright (c) FD-LAMT

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
```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 the Chinese National Pentatonic Mode