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upd data zip

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  1. README.md +16 -12
  2. data/pianos_data.zip +2 -2
README.md CHANGED
@@ -10,7 +10,7 @@ tags:
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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<1K
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  viewer: false
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  ---
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@@ -60,13 +60,13 @@ English
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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/rZQ1hdsd3ffimBRBDZa5z.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>
@@ -91,8 +91,12 @@ English
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  8_Yamaha
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  ```
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- ### Data Splits
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- train(12298), validation(1537), test(1538)
 
 
 
 
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  ## Dataset Creation
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  ### Curation Rationale
@@ -102,27 +106,27 @@ Lack of a dataset for piano sound quality
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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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- None
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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 rating 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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- No black key in Steinway, data imbalance
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  ## Additional Information
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  ### Dataset Curators
@@ -131,7 +135,7 @@ Zijin Li
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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 of the dataset.)
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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
107
  Zhaorui Liu, Shaohua Ji, Monan Zhou
108
  #### Who are the source language producers?
109
+ Students from CCMUSIC & CCOM
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111
  ### Annotations
112
  #### Annotation process
113
  Students from CCMUSIC recorded different piano sounds and labeled them, and then a subjective survey of sound quality was conducted to score them.
114
 
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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
130
 
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  ## Additional Information
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  ### Dataset Curators
 
135
  ### 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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  ```
data/pianos_data.zip CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:1289cfead01c00875c3fd9a29c31a36fbdb66d5148f9e4069ad67988433a7e89
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- size 394068001
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c9cb2786ffe8cd850cd24a6f23bd5305e20ebc4da35a10d5db7b132c5a12233a
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+ size 292824962