Datasets:
MuGeminorum
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upd data zip
Browse files- README.md +16 -12
- data/pianos_data.zip +2 -2
README.md
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- art
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pretty_name: Piano Sound Quality Dataset
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size_categories:
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- n<
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viewer: false
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---
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</style>
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<table id="pianos">
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<tr>
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<th>mel(.jpg)</th>
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<th>label(8-class)</th>
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<th>pitch(88-class)</th>
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</tr>
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<tr>
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<td><img src="https://cdn-uploads.huggingface.co/production/uploads/655e0a5b8c2d4379a71882a9/
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<td>PearlRiver
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<td>88 pitches on piano</td>
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</tr>
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<tr>
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8_Yamaha
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```
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### Data Splits
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## Dataset Creation
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### Curation Rationale
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#### Initial Data Collection and Normalization
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Zhaorui Liu, Shaohua Ji, Monan Zhou
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#### Who are the source language producers?
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Students from CCMUSIC
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### Annotations
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#### Annotation process
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Students from CCMUSIC recorded different piano sounds and labeled them, and then a subjective survey of sound quality was conducted to score them.
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#### Who are the annotators?
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Students from CCMUSIC
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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Help developing piano sound quality
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### Discussion of Biases
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Only for pianos
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Evaluation
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[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)
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(Note: this paper only uses the first 7 piano classes
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### Licensing Information
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```
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- art
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pretty_name: Piano Sound Quality Dataset
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size_categories:
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- 10K<n<100K
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viewer: false
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---
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</style>
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<table id="pianos">
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<tr>
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<th>mel(.jpg, 0.18s)</th>
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<th>label(8-class)</th>
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<th>pitch(88-class)</th>
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</tr>
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<tr>
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<td><img src="https://cdn-uploads.huggingface.co/production/uploads/655e0a5b8c2d4379a71882a9/TYYnuJqndeWzXLJMmOyXJ.jpeg"></td>
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<td>PearlRiver / YoungChang / Steinway-T / Hsinghai / Kawai / Steinway / Kawai-G / Yamaha</td>
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<td>88 pitches on piano</td>
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</tr>
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<tr>
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8_Yamaha
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```
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### Data Splits
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| total | 18745 |
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| :-------------: | :---: |
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| train(80%) | 14996 |
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| validation(10%) | 1874 |
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| test(10%) | 1875 |
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## Dataset Creation
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### Curation Rationale
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#### Initial Data Collection and Normalization
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Zhaorui Liu, Shaohua Ji, Monan Zhou
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#### Who are the source language producers?
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Students from CCMUSIC & CCOM
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### Annotations
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#### Annotation process
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Students from CCMUSIC recorded different piano sounds and labeled them, and then a subjective survey of sound quality was conducted to score them.
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#### Who are the annotators?
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Students from CCMUSIC & CCOM
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### Personal and Sensitive Information
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Piano brands
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## Considerations for Using the Data
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### Social Impact of Dataset
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Help developing piano sound quality scoring apps
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### Discussion of Biases
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Only for pianos
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### Other Known Limitations
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Lack of black keys for Steinway, data imbalance
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## Additional Information
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### Dataset Curators
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### Evaluation
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[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)
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(Note: this paper only uses the first 7 piano classes in the dataset.)
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### Licensing Information
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```
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data/pianos_data.zip
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version https://git-lfs.github.com/spec/v1
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size 292824962
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