README.md

---
license: mit
task_categories:
- audio-classification
- image-classification
language:
- en
tags:
- music
- art
pretty_name: Piano Sound Quality Dataset
size_categories:
- 10K<n<100K
viewer: false
---

# Dataset Card for Piano Sound Quality Dataset
## Usage
```python
from datasets import load_dataset

data = load_dataset("ccmusic-database/pianos", split="train")
labels = data.features['label'].names

for item in data:
    print('piano spec: ', item['mel'])
    print('label name: ' + labels[item['label']])
```

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

## Dataset Description
- **Homepage:** <https://ccmusic-database.github.io>
- **Repository:** <https://huggingface.co/datasets/CCMUSIC/pianos>
- **Paper:** <https://doi.org/10.5281/zenodo.5676893>
- **Leaderboard:** <https://ccmusic-database.github.io/team.html>
- **Point of Contact:** <https://arxiv.org/abs/2310.04722>

### Dataset Summary
This dataset contains 12 gamut audio files (.wav / .mp3 / .m4a format) and 1320 split single-tone audio files (.wav / .mp3 / .m4a format) of 7 types of pianos (Kawai upright piano, Kawai grand piano, YOUNG CHANG upright piano, HSINGHAI upright piano, Steinway grand piano in grand theatre, Steinway grand piano and Pearl River upright piano) in the piano-room of China Conservatory of Music, a total of 1332 files. In addition, there is a questionnaire on subjective evaluation of piano sound quality (.xls format), including the score of 29 people participating in the subjective evaluation of piano sound quality.

### Supported Tasks and Leaderboards
Piano Sound Classification, pitch detection

### Languages
English

## Dataset Structure
<style>
  #pianos td {
    vertical-align: middle !important;
    text-align: center;
  }
  #pianos th {
    text-align: center;
  }
</style>
<table id="pianos">
    <tr>
        <th>mel(.jpg, 0.18s)</th>
        <th>label(8-class)</th>
        <th>pitch(88-class)</th>
    </tr>
    <tr>
        <td><img src="https://cdn-uploads.huggingface.co/production/uploads/655e0a5b8c2d4379a71882a9/TYYnuJqndeWzXLJMmOyXJ.jpeg"></td>
        <td>PearlRiver / YoungChang / Steinway-T / Hsinghai / Kawai / Steinway / Kawai-G / Yamaha</td>
        <td>88 pitches on piano</td>
    </tr>
    <tr>
        <td>...</td>
        <td>...</td>
        <td>...</td>
    </tr>
</table>

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

### Data Fields
```
1_PearlRiver
2_YoungChang
3_Steinway-T
4_Hsinghai
5_Kawai
6_Steinway
7_Kawai-G
8_Yamaha
```

### Data Splits 
|      total      | 18745 |
| :-------------: | :---: |
|   train(80%)    | 14996 |
| validation(10%) | 1874  |
|    test(10%)    | 1875  |

## Dataset Creation
### Curation Rationale
Lack of a dataset for piano sound quality

### Source Data
#### Initial Data Collection and Normalization
Zhaorui Liu, Shaohua Ji, Monan Zhou
#### Who are the source language producers?
Students from CCMUSIC & CCOM

### Annotations
#### Annotation process
Students from CCMUSIC recorded different piano sounds and labeled them, and then a subjective survey of sound quality was conducted to score them.

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

### Personal and Sensitive Information
Piano brands

## Considerations for Using the Data
### Social Impact of Dataset
Help developing piano sound quality scoring apps

### Discussion of Biases
Only for pianos

### Other Known Limitations
Lack of black keys for Steinway, data imbalance

## Additional Information
### Dataset Curators
Zijin Li

### Evaluation
[Monan Zhou, Shangda Wu, Shaohua Ji, Zijin Li, and Wei Li. A Holistic Evaluation of Piano Sound Quality[C]//Proceedings of the 10th Conference on Sound and Music Technology (CSMT). Springer, Singapore, 2023.](https://arxiv.org/pdf/2310.04722.pdf)

(Note: this paper only uses the first 7 piano classes in the dataset.)

### 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, Yuan Wang, Zhaowen Wang, Wei Li and Zijin Li},
  title        = {CCMUSIC DATABASE: A Music Data Sharing Platform for Computational Musicology Research},
  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 piano sound quality