upd md

README.md

@@ -15,9 +15,9 @@ viewer: false
 ---
 
 # Dataset Card for Chinese National Pentatonic Mode Dataset
-The original dataset is sourced from the [Chinese National Pentatonic Mode Database](https://ccmusic-database.github.io/en/database/csmtd.html#shou10), which combines manual labeling with computer-based methods in the construction of the World Music Database. It collects and annotates audio of the five modes (including pentatonic, hexatonic, and heptatonic) of "Gong, Shang, Jue, Zhi, and Yu". It also provides a detailed analysis of the judgment of Chinese national pentatonic modes and identifies application scenarios and technical models, offering raw data for the analysis and retrieval of characteristics of Chinese national music.
+The original dataset is sourced from the [Chinese National Pentatonic Mode](https://ccmusic-database.github.io/en/database/csmtd.html#shou10), which combines manual labeling with computer-based methods in the construction of the World Music Database. It collects and annotates audio of the five modes (including pentatonic, hexatonic, and heptatonic) of "Gong, Shang, Jue, Zhi, and Yu". It also provides a detailed analysis of the judgment of Chinese national pentatonic modes and identifies application scenarios and technical models, offering raw data for the analysis and retrieval of characteristics of Chinese national music.
 
-Based on the aforementioned original data, after data processing, we have constructed the `default subset` of this integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/CNPM/dataPeview). As this dataset has been cited and used in published articles, no further `eval subset` need to be constructed for evaluation. Because the default subset is multi-labelled, it is difficult to maintain the integrity of labels in the split for all label columns, hence only a single split for the training set is provided. Users can perform their own splits on specified columns according to their specific downstream tasks.
+Based on the aforementioned original data, after data processing, we have constructed the [default subset](#usage) of this integrated version of the dataset, and its data structure can be viewed in the [viewer](https://www.modelscope.cn/datasets/ccmusic-database/CNPM/dataPeview). As this dataset has been cited and used in published articles, no further eval subset needs to be constructed for evaluation. Because the default subset is multi-labelled, it is difficult to maintain the integrity of labels in the split for all label columns, hence only a single split for the training set is provided. Users can perform their own splits on specified columns according to their specific downstream tasks.
 
 ## Viewer
 <https://www.modelscope.cn/datasets/ccmusic-database/CNPM/dataPeview>
@@ -132,7 +132,7 @@ Chinese, English
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("ccmusic-dabase/CNPM", split='train')
+dataset = load_dataset("ccmusic-dabase/CNPM", split="train")
 for data in dataset:
     print(data)
 ```