README.md

---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sound
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': PearlRiver
          '1': YoungChang
          '2': Steinway-T
          '3': Hsinghai
          '4': Kawai
          '5': Steinway
          '6': Kawai-G
          '7': Yamaha
  splits:
  - name: train
    num_bytes: 474511713
    num_examples: 534
  - name: validation
    num_bytes: 52598078
    num_examples: 67
  - name: test
    num_bytes: 52137163
    num_examples: 67
  download_size: 526201799
  dataset_size: 579246954
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
task_categories:
- audio-classification
tags:
- audio
- multiclass
---

# Pianos Sound Quality Dataset

This version of dataset comprises seven models of pianos: 

 - Kawai upright piano
 - Kawai grand piano
 - Young Change upright piano
 - Hsinghai upright piano
 - Grand Theatre Steinway piano
 - Steinway grand piano
 - Pearl River upright piano.

Note: the paper (Zhou et al., 2023) only uses the first 7 piano classes in the dataset, its future work has finished the 8-class evaluation.

## License

```
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.
```

## Citations

```bibtex
@article{zhou2023holistic,
  title={A Holistic Evaluation of Piano Sound Quality},
  author={Zhou, Monan and Wu, Shangda and Ji, Shaohua and Li, Zijin and Li, Wei},
  journal={arXiv preprint arXiv:2310.04722},
  year={2023}
}
```

```
@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}
}
```