upd md

README.md

@@ -15,13 +15,9 @@ viewer: false
 ---
 
 # Dataset Card for Piano Sound Quality Dataset
-The raw dataset is sourced from the [Piano Sound Quality Dataset](https://ccmusic-database.github.io/en/database/ccm.html#shou1), which includes 12 full-range audio files in .wav/.mp3/.m4a format representing seven models of pianos: Kawai upright piano, Kawai grand piano, Young Change upright piano, Hsinghai upright piano, Grand Theatre Steinway piano, Steinway grand piano, and Pearl River upright piano. Additionally, there are 1,320 split monophonic audio files in .wav/.mp3/.m4a format, bringing the total number of files to 1,332. The dataset also includes a score sheet in .xls format containing subjective evaluations of piano sound quality provided by 29 participants with musical backgrounds.
+The original dataset is sourced from the [Piano Sound Quality Dataset](https://ccmusic-database.github.io/en/database/ccm.html#shou1), which includes 12 full-range audio files in .wav/.mp3/.m4a format representing seven models of pianos: Kawai upright piano, Kawai grand piano, Young Change upright piano, Hsinghai upright piano, Grand Theatre Steinway piano, Steinway grand piano, and Pearl River upright piano. Additionally, there are 1,320 split monophonic audio files in .wav/.mp3/.m4a format, bringing the total number of files to 1,332. The dataset also includes a score sheet in .xls format containing subjective evaluations of piano sound quality provided by 29 participants with musical backgrounds.
 
-Based on the aforementioned raw dataset, after data processing, we constructed the `default subset` of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/pianos/dataPeview).
-
-Due to the need to increase the dataset size and the absence of a popular piano brand, Yamaha, the `default subset` is expanded by recording an upright Yamaha piano into the `8_class subset`.
-
-Since the current dataset has been validated by published articles, based on the `8_class subset`, we adopted the data processing method for dataset evaluation from the article and constructed the `eval subset`. Below is a brief introduction to the data structure of each subset.
+Based on the aforementioned original dataset, after data processing, we constructed the [default subset](#default-subset-1) of the current integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/pianos/dataPeview). Due to the need to increase the dataset size and the absence of a popular piano brand, Yamaha, the default subset is expanded by recording an upright Yamaha piano into the [8_class subset](#8-class-subset). Since the current dataset has been validated by published articles, based on the 8_class subset, we adopted the data processing method for dataset evaluation from the article and constructed the [eval subset](#eval-subset-1), whose result has been shown in [pianos](https://www.modelscope.cn/models/ccmusic-database/pianos). Except for the default subset, the rest of the subsets are not represented in our paper. Below is a brief introduction to the data structure of each subset.
 
 ## Dataset Structure
 ### Default Subset
@@ -119,6 +115,21 @@ for item in ds["test"]:
     print(item)
 ```
 
+### 8-class Subset
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ccmusic-database/pianos", name="8_classes")
+for item in ds["train"]:
+    print(item)
+
+for item in ds["validation"]:
+    print(item)
+
+for item in ds["test"]:
+    print(item)
+```
+
 ### Eval Subset
 ```python
 from datasets import load_dataset