Update README.md

README.md

@@ -197,39 +197,11 @@ cd bel_canto
 This dataset 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.
 
 ### Supported Tasks and Leaderboards
-Audio classification, Image classification, singing method classification, voice classification
+MIR, Audio classification, singing method classification, voice classification
 
 ### Languages
 Chinese, English
 
-## Dataset Creation
-### Curation Rationale
-Lack of a dataset for Bel Conto and Chinese folk song singing tech
-
-### Source Data
-#### Initial Data Collection and Normalization
-Zhaorui Liu, Monan Zhou
-
-#### Who are the source language producers?
-Students from CCMUSIC
-
-### Annotations
-#### Annotation process
-All of them are sung by professional vocalists and were recorded in professional commercial recording studios.
-
-#### Who are the annotators?
-professional vocalists
-
-## Considerations for Using the Data
-### Social Impact of Dataset
-Promoting the development of AI in the music industry
-
-### Discussion of Biases
-Only for Chinese songs
-
-### Other Known Limitations
-Some singers may not have enough professional training in classical or ethnic vocal techniques.
-
 ## Additional Information
 ### Dataset Curators
 Zijin Li
@@ -251,4 +223,4 @@ Zijin Li
 ```
 
 ### Contributions
-Provide a dataset for distinguishing Bel Conto and Chinese folk song singing tech
+A dataset of bel conto and Chinese folk singing