upd md

README.md

@@ -88,29 +88,7 @@ In the original dataset, the labels were represented by folder names, which prov
 Based on the aforementioned original dataset, we conducted data processing to construct the [default subset](#default-subset) of the current integrated version of the dataset. Due to the pre-existing split in the original dataset, wherein the data has been partitioned approximately in a 4:1 ratio for training and testing sets, we uphold the original data division approach for the default subset. The data structure of the default subset can be viewed in the [viewer](https://huggingface.co/datasets/ccmusic-database/GZ_IsoTech/viewer). In addition, we have retained the [eval subset](#eval-subset) used in the experiment for easy replication.
 
 ## Default Subset Structure
-<style>
-  .datastructure td {
-    vertical-align: middle !important;
-    text-align: center;
-  }
-  .datastructure th {
-    text-align: center;
-  }
-</style>
-<table class="datastructure">
-    <tr>
-        <th>audio</th>
-        <th>mel</th>
-        <th>label</th>
-        <th>cname</th>
-    </tr>
-    <tr>
-        <td>.wav, 44100Hz</td>
-        <td>.jpg, 44100Hz</td>
-        <td>8-class</td>
-        <td>string</td>
-    </tr>
-</table>
+<https://huggingface.co/datasets/ccmusic-database/GZ_IsoTech/viewer>
 
 ### Data Instances
 .zip(.flac, .csv)
@@ -151,7 +129,7 @@ Chinese, English
 ```python
 from datasets import load_dataset
 
-ds = load_dataset("ccmusic-database/GZ_IsoTech")
+ds = load_dataset("ccmusic-database/GZ_IsoTech", name="default")
 for item in ds["train"]:
     print(item)
 
@@ -176,12 +154,12 @@ for item in ds["test"]:
 
 ## Maintenance
 ```bash
-GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/ccmusic-database/CNPM
-cd CNPM
+GIT_LFS_SKIP_SMUDGE=1 git clone [email protected]:datasets/ccmusic-database/GZ_IsoTech
+cd GZ_IsoTech
 ```
 
 ## Mirror
-https://www.modelscope.cn/datasets/ccmusic-database/GZ_IsoTech
+<https://www.modelscope.cn/datasets/ccmusic-database/GZ_IsoTech>
 
 ## Additional Information
 ### Dataset Curators