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  "doi": "10.57702/06b9aln5",
            
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  "extra_authors": [
            
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    {
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      "extra_author": "Peilin Zhou",
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      "extra_author": "Peilin Zhou",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yining Hua",
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      "extra_author": "Yining Hua",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Dading Chong",
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      "extra_author": "Dading Chong",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Zhongyu Tian",
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      "extra_author": "Zhongyu Tian",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Andrew Liu",
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      "extra_author": "Andrew Liu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Helin Wang",
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      "extra_author": "Helin Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Chenyu You",
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      "extra_author": "Chenyu You",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Zhenhua Guo",
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "Lei Zhu",
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      "extra_author": "Lei Zhu",
            
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      "orcid": ""
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  "name": "cmb-exam",
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  "name": "cmb-exam",
            
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  "notes": "A large-scale Chinese benchmark for evaluating medical 
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  "notes": "A large-scale Chinese benchmark for evaluating medical 
            
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large language models. The dataset consists of 280,839 samples, with 
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large language models. The dataset consists of 280,839 samples, with 
            
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