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Update README.md

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@@ -8,7 +8,7 @@ base_model:
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  data process:
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  Place the WAV and JSON files in `dev_data`.
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- To distinguish the recognition performance of each part, prefix the file names of part1 with `fold-d-`, prefix the file names of part2 with `fold-a-``fold-b-``fold-c-`,
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  and prefix the file names of part3 with `fold-e-`.
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  Download the pre-trained Sentence-BERT model and tokenizer from the following URL:
@@ -31,7 +31,7 @@ pip install -r requirements.txt
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  You can also use a mirror source to speed up the process.
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  `pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`
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- - Run
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  ```bash
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  sh qwen_audio_test.sh
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  ```
 
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  data process:
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  Place the WAV and JSON files in `dev_data`.
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+ To distinguish the recognition performance of each part, prefix the file names of part1 with `fold-d-`, prefix the file names of part2 with `fold-a-` `fold-b-` `fold-c-`,
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  and prefix the file names of part3 with `fold-e-`.
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  Download the pre-trained Sentence-BERT model and tokenizer from the following URL:
 
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  You can also use a mirror source to speed up the process.
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  `pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple`
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+ - Run Audio QA Inference Baseline
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  ```bash
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  sh qwen_audio_test.sh
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  ```