Update README.md

README.md

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 # WSYue-ASR-eval: Cantonese ASR Benchmark
 
-To address the unique linguistic characteristics of Cantonese in speech recognition, we propose **WSYue-ASR-eval**, a benchmark specifically designed for evaluating ASR systems. It is tailored to assess model performance across diverse lengths, domains, and linguistic phenomena of Cantonese speech. 
-It contains:
-- Annotated through multiple rounds of manual labeling.  
-- Includes rich tags such as text transcription, emotion, age, and gender.  
-- Covers Cantonese-English code-switching and multi-domain conditions.
-- Enables comprehensive evaluation across varying speech lengths.  
+To address the unique linguistic characteristics of Cantonese in speech recognition, we propose **WSYue-ASR-eval**, a benchmark specifically designed for evaluating Cantonese ASR systems. It is tailored to assess model performance across diverse lengths, domains, and linguistic phenomena of Cantonese speech. 
+To achieve this, the benchmark provides the following key features: 
+- Annotated through multiple rounds of manual labeling  
+- Includes rich tags such as text transcription, emotion, age, and gender  
+- Covers Cantonese-English code-switching and multi-domain conditions
+- Enables comprehensive evaluation across varying speech lengths  
 
 ## WSYue-ASR-eval Subsets
 | Set   | Duration | Speakers | Hours |