upd md

.gitignore

@@ -1,3 +1,2 @@
-rename.sh
 test.*
 *__pycache__*

README.md

@@ -109,7 +109,7 @@ This dataset is created by the authors and encompasses two distinct singing styl
 ## Integration
 Since this is a self-created dataset, we directly carry out the unified integration of the data structure. After integration, the data structure of the dataset is as follows: audio (with a sampling rate of 22,050 Hz), mel spectrograms, 4-class numerical label, gender label and singing style label. The data number remains 203, with a total duration of 5.08 hours. The average duration is 90 seconds.
 
-We have constructed the [default subset](#default-subset) of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://huggingface.co/datasets/ccmusic-database/bel_canto/viewer). Since the default subset has not been evaluated, to verify its effectiveness, we have built the [eval subset](#eval-subset) based on the default subset for the evaluation of the integrated version of the dataset. The evaluation results can be seen in the [bel_canto](https://huggingface.co/ccmusic-database/bel_canto). Below are the data structures and invocation methods of the subsets.
+We have constructed the [default subset](#usage) of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://huggingface.co/datasets/ccmusic-database/bel_canto/viewer). Since the default subset has not been evaluated, to verify its effectiveness, we have built the [eval subset](#usage) based on the default subset for the evaluation of the integrated version of the dataset. The evaluation results can be seen in the [bel_canto](https://huggingface.co/ccmusic-database/bel_canto). Below are the data structures and invocation methods of the subsets.
 
 ## Statistics
 | ![](https://www.modelscope.cn/datasets/ccmusic-database/bel_canto/resolve/master/data/bel_pie.jpg) | ![](https://www.modelscope.cn/datasets/ccmusic-database/bel_canto/resolve/master/data/bel_canto.jpg) | ![](https://www.modelscope.cn/datasets/ccmusic-database/bel_canto/resolve/master/data/bel_bar.jpg) |
@@ -130,12 +130,9 @@ Firstly, **Fig. 1** presents the clip number of each category. The label with th
 <https://huggingface.co/datasets/ccmusic-database/bel_canto/viewer>
 
 ### Eval Subset Splits
-|   Split    | 8:1:1 |
-| :--------: | :---: |
-|   train    | 7926  |
-| validation |  990  |
-|    test    |  994  |
-|   total    | 9910  |
+| Split | train | validation | test  | total |
+| :---: | :---: | :--------: | :---: | :---: |
+| 8:1:1 | 7,926 |    990     |  994  | 9,910 |
 
 ### Data Instances
 .zip(.wav, .jpg)
@@ -144,28 +141,17 @@ Firstly, **Fig. 1** presents the clip number of each category. The label with th
 m_bel, f_bel, m_folk, f_folk
 
 ## Usage
-### Default Subset
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("ccmusic-database/bel_canto", name="default", split="train")
-for item in ds:
-    print(item)
-```
-
-### Eval Subset
-```python
-from datasets import load_dataset
-
-ds = 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)
+ds = load_dataset(
+    "ccmusic-database/bel_canto",
+    name="default", # default / eval
+    split="train", # train / validation / test (default only has train)
+    cache_dir="./__pycache__",
+)
+for i in ds:
+    print(i)
 ```
 
 ## Maintenance