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@@ -107,53 +107,7 @@ Firstly, **Fig. 1** presents the clip number of each category. The label with th
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  | total | 203 | 9910 |
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  ## Dataset Structure
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- <style>
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- .belcanto td {
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- vertical-align: middle !important;
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- text-align: center;
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- }
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- .belcanto th {
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- text-align: center;
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- }
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- </style>
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-
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- ### Default Subset Structure
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- <table class="belcanto">
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- <tr>
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- <th>audio</th>
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- <th>mel (spectrogram)</th>
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- <th>label (4-class)</th>
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- <th>gender (2-class)</th>
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- <th>singing_method(2-class)</th>
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- </tr>
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- <tr>
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- <td>.wav, 22050Hz</audio></td>
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- <td>.jpg, 22050Hz</td>
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- <td>m_bel, f_bel, m_folk, f_folk</td>
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- <td>male, female</td>
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- <td>Folk_Singing, Bel_Canto</td>
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- </tr>
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- </table>
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-
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- ### Eval Subset Structure
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- <table class="belcanto">
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- <tr>
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- <th>mel</th>
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- <th>cqt</th>
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- <th>chroma</th>
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- <th>label (4-class)</th>
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- <th>gender (2-class)</th>
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- <th>singing_method (2-class)</th>
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- </tr>
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- <tr>
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- <td>.jpg, 1.6s, 22050Hz</td>
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- <td>.jpg, 1.6s, 22050Hz</td>
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- <td>.jpg, 1.6s, 22050Hz</td>
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- <td>m_bel, f_bel, m_folk, f_folk</td>
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- <td>male, female</td>
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- <td>Folk_Singing, Bel_Canto</td>
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- </tr>
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- </table>
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  ### Data Instances
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  .zip(.wav, .jpg)
@@ -166,7 +120,7 @@ m_bel, f_bel, m_folk, f_folk
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  ```python
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  from datasets import load_dataset
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- ds = load_dataset("ccmusic-database/bel_canto", split="train")
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  for item in ds:
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  print(item)
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  ```
@@ -193,7 +147,7 @@ cd bel_canto
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  ```
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  ## Mirror
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- https://www.modelscope.cn/datasets/ccmusic-database/bel_canto
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  ## Dataset Description
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  ### Dataset Summary
 
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  | total | 203 | 9910 |
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  ## Dataset Structure
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+ <https://huggingface.co/datasets/ccmusic-database/bel_canto/viewer>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Data Instances
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  .zip(.wav, .jpg)
 
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  ```python
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  from datasets import load_dataset
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+ ds = load_dataset("ccmusic-database/bel_canto", name="default", split="train")
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  for item in ds:
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  print(item)
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  ```
 
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  ```
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  ## Mirror
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+ <https://www.modelscope.cn/datasets/ccmusic-database/bel_canto>
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  ## Dataset Description
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  ### Dataset Summary