sync ms

.gitignore

@@ -1,4 +1,2 @@
 rename.sh
-test.py
-*.wav
-*.jpg
+test.py

README.md

@@ -16,9 +16,43 @@ viewer: false
 ---
 
 # Dataset Card for Bel Conto and Chinese Folk Song Singing Tech
+The raw dataset contains 203 acapella singing clips (sampled at 22,050 Hz) that are sung in two styles, Bel Conto and Chinese folk singing style by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios. Besides the original version, the pre-processed version is included.
+
+## Usage
+### Eval Subset
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ccmusic-database/bel_canto", name="eval")
+for item in ds["train"]:
+    print(item)
+
+for item in ds["validation"]:
+    print(item)
+
+for item in ds["test"]:
+    print(item)
+```
+
+### Raw Subset
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("ccmusic-database/bel_canto", name="default")
+for item in ds["train"]:
+    print(item)
+
+for item in ds["validation"]:
+    print(item)
+
+for item in ds["test"]:
+    print(item)
+```
+
 ## Maintenance
 ```bash
 GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/bel_canto
+cd bel_canto
 ```
 
 ## Dataset Description
@@ -26,7 +60,7 @@ GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/ccmusic-database/bel_canto
 - **Repository:** <https://huggingface.co/datasets/ccmusic-database/bel_canto>
 - **Paper:** <https://doi.org/10.5281/zenodo.5676893>
 - **Leaderboard:** <https://ccmusic-database.github.io/team.html>
-- **Point of Contact:** N/A
+- **Point of Contact:** <https://www.modelscope.cn/datasets/ccmusic/bel_canto>
 
 ### Dataset Summary
 This database contains hundreds of acapella singing clips that are sung in two styles, Bel Conto and Chinese national singing style by professional vocalists. All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
@@ -39,19 +73,20 @@ Chinese, English
 
 ## Dataset Structure
 <style>
-  #belcanto td {
+  .belcanto td {
     vertical-align: middle !important;
     text-align: center;
   }
-  #belcanto th {
+  .belcanto th {
     text-align: center;
   }
 </style>
-<table id="belcanto">
+### Eval Subset
+<table class="belcanto">
     <tr>
-        <th>mel<br>(.jpg, 1.6s)</th>
-        <th>cqt<br>(.jpg, 1.6s)</th>
-        <th>chroma<br>(.jpg, 1.6s)</th>
+        <th>mel<br>(.jpg, 1.6s, 48000Hz)</th>
+        <th>cqt<br>(.jpg, 1.6s, 48000Hz)</th>
+        <th>chroma<br>(.jpg, 1.6s, 48000Hz)</th>
         <th>label<br>(4-class)</th>
         <th>gender<br>(2-class)</th>
         <th>singing_method<br>(2-class)</th>
@@ -74,6 +109,31 @@ Chinese, English
     </tr>
 </table>
 
+### Raw Subset
+<table>
+    <tr>
+        <th>audio(.wav, 22050Hz)</th>
+        <th>mel(spectrogram, .jpg, 22050Hz)</th>
+        <th>label(4-class)</th>
+        <th>gender(2-class)</th>
+        <th>singing_method(2-class)</th>
+    </tr>
+    <tr>
+        <td><audio controls src="./data/女美声 35.wav"></audio></td>
+        <td><img src="./data/女美声 35.jpg"></td>
+        <td>m_bel, f_bel, m_folk, f_folk</td>
+        <td>male, female</td>
+        <td>Folk_Singing, Bel_Canto</td>
+    </tr>
+    <tr>
+        <td>...</td>
+        <td>...</td>
+        <td>...</td>
+        <td>...</td>
+        <td>...</td>
+    </tr>
+</table>
+
 ### Data Instances
 .zip(.wav, .jpg)
 
@@ -81,11 +141,12 @@ Chinese, English
 m_bel, f_bel, m_folk, f_folk
 
 ### Data Splits 
-|      total      | 9603  |
-| :-------------: | :---: |
-|   train(80%)    | 7682  |
-| validation(10%) |  960  |
-|    test(10%)    |  961  |
+|      Split      | Eval  |  Raw  |
+| :-------------: | :---: | :---: |
+|      total      | 9603  |  203  |
+|   train(80%)    | 7682  |  162  |
+| validation(10%) |  960  |  20   |
+|    test(10%)    |  961  |  21   |
 
 ## Dataset Creation
 ### Curation Rationale
@@ -151,16 +212,15 @@ SOFTWARE.
 ```
 
 ### Citation Information
-```
+```bibtex
 @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}
+  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}
 }
 ```
 

data/{belcanto_rawdata.zip → 女美声 35.wav}

@@ -1,3 +1,3 @@
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+size 839708