變更

              
    

          
          
        
        

            
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{
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  "aifiles": "[{\"cat\": \"Explainability\", \"serial\": \"4-2\", 
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\"question\": 
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\"question\": 
            
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05\\uff0c\\u89e3\\u91cbAI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\uff1f\", 
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05\\uff0c\\u89e3\\u91cbAI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
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Bias\", \"serial\": \"5-1\", \"question\": 
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Bias\", \"serial\": \"5-1\", \"question\": 
            
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751f\\u6216\\u52a0\\u5287\\u4e0d\\u516c\\u5e73\\u504f\\u898b\\uff1f\", 
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751f\\u6216\\u52a0\\u5287\\u4e0d\\u516c\\u5e73\\u504f\\u898b\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
            
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Well-being\", \"serial\": \"6-1\", \"question\": 
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Well-being\", \"serial\": \"6-1\", \"question\": 
            
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6703\\u6709\\u6f5b\\u5728\\u7684\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
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6703\\u6709\\u6f5b\\u5728\\u7684\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", 
            
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\"serial\": \"7-1\", \"question\": 
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\"serial\": \"7-1\", \"question\": 
            
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\\u8a13\\u7df4\\u8cc7\\u6599\\u7684\\u4f86\\u6e90\\uff0c\\u4ee5\\u53ca 
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\\u8a13\\u7df4\\u8cc7\\u6599\\u7684\\u4f86\\u6e90\\uff0c\\u4ee5\\u53ca 
            
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AI 
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AI 
            
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762\\u53ca\\u8ca0\\u9762\\u5f71\\u97ff\\u7684\\u7d00\\u9304)\\uff1f\", 
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762\\u53ca\\u8ca0\\u9762\\u5f71\\u97ff\\u7684\\u7d00\\u9304)\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
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Autonomy\", \"serial\": \"1-1\", \"question\": 
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Autonomy\", \"serial\": \"1-1\", \"question\": 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
            
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\"serial\": \"2-12\", \"question\": 
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\"serial\": \"2-12\", \"question\": 
            
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6297\\u6027\\u6216\\u7834\\u58de\\u6027\\u7684\\u5f8c\\u679c\\uff1f\", 
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6297\\u6027\\u6216\\u7834\\u58de\\u6027\\u7684\\u5f8c\\u679c\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
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\"serial\": \"7-3\", \"question\": 
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\"serial\": \"7-3\", \"question\": 
            
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502b\\u7406\\u8b70\\u984c\\u8207\\u554f\\u8cac\\u63aa\\u65bd\\uff1f\", 
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502b\\u7406\\u8b70\\u984c\\u8207\\u554f\\u8cac\\u63aa\\u65bd\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
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Attack and Security\", \"serial\": \"2-1\", \"question\": 
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Attack and Security\", \"serial\": \"2-1\", \"question\": 
            
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982\\u5c0d\\u4eba\\u985e\\u6216\\u793e\\u6703\\u5b89\\u5168)\\uff1f\", 
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982\\u5c0d\\u4eba\\u985e\\u6216\\u793e\\u6703\\u5b89\\u5168)\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Stakeholder 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Stakeholder 
            
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Participation\", \"serial\": \"5-10\", \"question\": 
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Participation\", \"serial\": \"5-10\", \"question\": 
            
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07AI\\u7cfb\\u7d71\\u7684\\u8a2d\\u8a08\\u8207\\u958b\\u767c\\uff1f\", 
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07AI\\u7cfb\\u7d71\\u7684\\u8a2d\\u8a08\\u8207\\u958b\\u767c\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", 
            
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\"serial\": \"3-1\", \"question\": 
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\"serial\": \"3-1\", \"question\": 
            
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53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u6b0a\\u7684\\u5f71\\u97ff\\uff1f\", 
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53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u6b0a\\u7684\\u5f71\\u97ff\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
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\"serial\": \"4-1\", \"question\": 
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\"serial\": \"4-1\", \"question\": 
            
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671f\\u4e2d\\u7684\\u53ef\\u8ffd\\u6eaf\\u6027\\u554f\\u984c\\uff1f\", 
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671f\\u4e2d\\u7684\\u53ef\\u8ffd\\u6eaf\\u6027\\u554f\\u984c\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
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Universal Design\", \"serial\": \"5-6\", \"question\": 
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Universal Design\", \"serial\": \"5-6\", \"question\": 
            
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4e2d\\u7684\\u5404\\u7a2e\\u504f\\u597d\\u53ca\\u80fd\\u529b\\uff1f\", 
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4e2d\\u7684\\u5404\\u7a2e\\u504f\\u597d\\u53ca\\u80fd\\u529b\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
            
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\"serial\": \"4-4\", \"question\": \"\\u5728\\u4e92\\u52d5\\u5f0fAI 
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\"serial\": \"4-4\", \"question\": \"\\u5728\\u4e92\\u52d5\\u5f0fAI 
            
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7d71\\u4e92\\u52d5\\uff0c\\u800c\\u4e0d\\u662f\\u4eba\\u985e\\uff1f\", 
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7d71\\u4e92\\u52d5\\uff0c\\u800c\\u4e0d\\u662f\\u4eba\\u985e\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
            
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\"serial\": \"1-7\", \"question\": 
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\"serial\": \"1-7\", \"question\": 
            
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2e\\u7cfb\\u7d71\\uff1f(\\u672c\\u984c\\u53ef\\u8907\\u9078)\\uff1a\", 
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2e\\u7cfb\\u7d71\\uff1f(\\u672c\\u984c\\u53ef\\u8907\\u9078)\\uff1a\", 
            
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\"answer\": 
59
\"answer\": 
            
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in-the-Loop(HITL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-on-the-loop 
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in-the-Loop(HITL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-on-the-loop 
            
61
(HOTL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-in-command 
61
(HOTL)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4ee5Human-in-command 
            
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(HIC)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4e0d\\u9069\\u7528\", 
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(HIC)\\u65b9\\u5f0f\\u76e3\\u7763|\\u4e0d\\u9069\\u7528\", 
            
63
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
63
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
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\"serial\": \"3-3\", \"question\": 
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\"serial\": \"3-3\", \"question\": 
            
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9)\\u5c0dAI\\u9032\\u884c\\u8a13\\u7df4\\u6216\\u958b\\u767c\\uff1f\", 
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9)\\u5c0dAI\\u9032\\u884c\\u8a13\\u7df4\\u6216\\u958b\\u767c\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
67
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
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Skills\", \"serial\": \"6-3\", \"question\": 
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Skills\", \"serial\": \"6-3\", \"question\": 
            
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985e\\u7684\\u8077\\u696d\\u53ca\\u5de5\\u4f5c\\u5b89\\u6392\\uff1f\", 
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985e\\u7684\\u8077\\u696d\\u53ca\\u5de5\\u4f5c\\u5b89\\u6392\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
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\"serial\": \"2-7\", \"question\": 
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\"serial\": \"2-7\", \"question\": 
            
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98a8\\u96aa\\u6307\\u6a19\\u53ca\\u98a8\\u96aa\\u7b49\\u7d1a\\uff1f\", 
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98a8\\u96aa\\u6307\\u6a19\\u53ca\\u98a8\\u96aa\\u7b49\\u7d1a\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
75
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
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Fall-back Plans and Reproducibility\", \"serial\": \"2-17\", 
76
Fall-back Plans and Reproducibility\", \"serial\": \"2-17\", 
            
77
\"question\": 
77
\"question\": 
            
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f8b\\u5982\\u8207\\u4eba\\u985e\\u5b89\\u5168\\u6709\\u95dc)\\uff1f\", 
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f8b\\u5982\\u8207\\u4eba\\u985e\\u5b89\\u5168\\u6709\\u95dc)\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
80
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
80
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
            
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at large or Democracy\", \"serial\": \"6-8\", \"question\": 
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at large or Democracy\", \"serial\": \"6-8\", \"question\": 
            
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6216\\u6c11\\u4e3b\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
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6216\\u6c11\\u4e3b\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
            
83
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
84
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
84
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
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Skills\", \"serial\": \"6-4\", \"question\": 
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Skills\", \"serial\": \"6-4\", \"question\": 
            
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9d4\\u54e1\\u6703)\\uff0c\\u4e26\\u8207\\u4e4b\\u5354\\u5546\\uff1f\", 
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9d4\\u54e1\\u6703)\\uff0c\\u4e26\\u8207\\u4e4b\\u5354\\u5546\\uff1f\", 
            
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
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\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
88
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
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\"serial\": \"2-7-1\", \"question\": 
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\"serial\": \"2-7-1\", \"question\": 
            
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6301\\u7e8c\\u8861\\u91cf\\u53ca\\u8a55\\u4f30\\u98a8\\u96aa\\uff1f\", 
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6301\\u7e8c\\u8861\\u91cf\\u53ca\\u8a55\\u4f30\\u98a8\\u96aa\\uff1f\", 
            
91
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
92
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
92
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
            
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Well-being\", \"serial\": \"6-1-1\", \"question\": 
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Well-being\", \"serial\": \"6-1-1\", \"question\": 
            
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5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", 
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5225\\u51fa\\u54ea\\u4e9b\\u6f5b\\u5728\\u7684\\u5f71\\u97ff\\uff1f\", 
            
95
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
96
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
96
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
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Autonomy\", \"serial\": \"1-1-1\", \"question\": 
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Autonomy\", \"serial\": \"1-1-1\", \"question\": 
            
98
\\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 
98
\\u5426\\u4f7f\\u7d42\\u7aef\\u4f7f\\u7528\\u8005\\u6216\\u4e3b\\u9ad4 
            
99
3ef\\u80fd\\u4e0d\\u77e5\\u9053\\u6216\\u611f\\u5230\\u56f0\\u60d1)\", 
99
3ef\\u80fd\\u4e0d\\u77e5\\u9053\\u6216\\u611f\\u5230\\u56f0\\u60d1)\", 
            
100
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
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\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
101
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
101
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
102
Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", 
102
Fall-back Plans and Reproducibility\", \"serial\": \"2-17-1\", 
            
103
\"question\": 
103
\"question\": 
            
104
\\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 
104
\\u78ba\\u5b9a\\u7fa9\\u7684\\u6d41\\u7a0b\\uff0c\\u4ee5\\u76e3\\u63a7 
            
105
7d71\\u662f\\u5426\\u9054\\u5230\\u9810\\u671f\\u76ee\\u6a19\\uff1f\", 
105
7d71\\u662f\\u5426\\u9054\\u5230\\u9810\\u671f\\u76ee\\u6a19\\uff1f\", 
            
106
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
106
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
107
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
107
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
108
Universal Design\", \"serial\": \"5-7\", \"question\": 
108
Universal Design\", \"serial\": \"5-7\", \"question\": 
            
109
88ab\\u6392\\u65a5\\u5728\\u5916\\u7684\\u4eba\\u4f7f\\u7528\\uff1f\", 
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88ab\\u6392\\u65a5\\u5728\\u5916\\u7684\\u4eba\\u4f7f\\u7528\\uff1f\", 
            
110
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
110
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
111
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
111
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
            
112
\"serial\": \"2-13\", \"question\": 
112
\"serial\": \"2-13\", \"question\": 
            
113
8868\\u6240\\u90e8\\u7f72\\u7684\\u7cfb\\u7d71\\u74b0\\u5883\\uff1f\", 
113
8868\\u6240\\u90e8\\u7f72\\u7684\\u7cfb\\u7d71\\u74b0\\u5883\\uff1f\", 
            
114
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
114
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
115
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", 
115
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Privacy\", 
            
116
\"serial\": \"3-2\", \"question\": 
116
\"serial\": \"3-2\", \"question\": 
            
117
7cfb\\u7d71\\u7684\\u96b1\\u79c1\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", 
117
7cfb\\u7d71\\u7684\\u96b1\\u79c1\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", 
            
118
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
118
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
119
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
119
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
120
Bias\", \"serial\": \"5-2\", \"question\": 
120
Bias\", \"serial\": \"5-2\", \"question\": 
            
121
9ad4\\u7684\\u591a\\u6a23\\u6027\\u53ca\\u4ee3\\u8868\\u6027\\uff1f\", 
121
9ad4\\u7684\\u591a\\u6a23\\u6027\\u53ca\\u4ee3\\u8868\\u6027\\uff1f\", 
            
122
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
122
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
123
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Explainability\", 
123
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Explainability\", 
            
124
\"serial\": \"4-3\", \"question\": 
124
\"serial\": \"4-3\", \"question\": 
            
125
2f\\u5426\\u4e86\\u89e3AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\uff1f\", 
125
2f\\u5426\\u4e86\\u89e3AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\uff1f\", 
            
126
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
126
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
127
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
127
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
128
\"serial\": \"7-3-1\", \"question\": 
128
\"serial\": \"7-3-1\", \"question\": 
            
129
53ea\\u9650\\u65bc\\u7cfb\\u7d71\\u958b\\u767c\\u968e\\u6bb5\\uff1f\", 
129
53ea\\u9650\\u65bc\\u7cfb\\u7d71\\u958b\\u767c\\u968e\\u6bb5\\uff1f\", 
            
130
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
130
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
131
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
131
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
            
132
\"serial\": \"4-5\", \"question\": 
132
\"serial\": \"4-5\", \"question\": 
            
133
76ee\\u7684\\u3001\\u6a19\\u6e96\\u8207\\u4fb7\\u9650\\u6027\\uff1f\", 
133
76ee\\u7684\\u3001\\u6a19\\u6e96\\u8207\\u4fb7\\u9650\\u6027\\uff1f\", 
            
134
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
134
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
135
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
135
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
136
Attack and Security\", \"serial\": \"2-2\", \"question\": 
136
Attack and Security\", \"serial\": \"2-2\", \"question\": 
            
137
7b26\\u5408\\u7279\\u5b9a\\u7684\\u5b89\\u5168\\u6a19\\u6e96\\uff1f\", 
137
7b26\\u5408\\u7279\\u5b9a\\u7684\\u5b89\\u5168\\u6a19\\u6e96\\uff1f\", 
            
138
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
138
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
139
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
139
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
140
\"serial\": \"4-1-1\", \"question\": 
140
\"serial\": \"4-1-1\", \"question\": 
            
141
38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", 
141
38\\u5165AI\\u7cfb\\u7d71\\u8cc7\\u6599\\u7684\\u54c1\\u8cea\\uff1f\", 
            
142
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
142
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
143
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
143
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
144
\"serial\": \"3-4\", \"question\": 
144
\"serial\": \"3-4\", \"question\": 
            
145
84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", 
145
84\\u5f37\\u5236\\u6027\\u63aa\\u65bd\\uff1f(\\u53ef\\u8907\\u9078)\", 
            
146
\"answer\": 
146
\"answer\": 
            
147
9(\\u5305\\u542b\\u7279\\u7a2e\\u8cc7\\u6599)|\\u4e0d\\u9069\\u7528\", 
147
9(\\u5305\\u542b\\u7279\\u7a2e\\u8cc7\\u6599)|\\u4e0d\\u9069\\u7528\", 
            
148
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
148
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
            
149
\"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL 
149
\"serial\": \"1-8\", \"question\": \"\\u5c0d\\u65bc\\u4ee5HITL 
            
150
\\u3001HOTL 
150
\\u3001HOTL 
            
151
662f\\u5426\\u63d0\\u4f9b\\u7279\\u5b9a\\u7684\\u57f9\\u8a13\\uff1f\", 
151
662f\\u5426\\u63d0\\u4f9b\\u7279\\u5b9a\\u7684\\u57f9\\u8a13\\uff1f\", 
            
152
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
152
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
153
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", 
153
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Auditability\", 
            
154
\"serial\": \"7-2\", \"question\": 
154
\"serial\": \"7-2\", \"question\": 
            
155
7368\\u7acb\\u7b2c\\u4e09\\u65b9\\u9032\\u884c\\u7a3d\\u6838\\uff1f\", 
155
7368\\u7acb\\u7b2c\\u4e09\\u65b9\\u9032\\u884c\\u7a3d\\u6838\\uff1f\", 
            
156
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
156
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
157
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
157
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
            
158
at large or Democracy\", \"serial\": \"6-8-1\", \"question\": 
158
at large or Democracy\", \"serial\": \"6-8-1\", \"question\": 
            
159
93e\\u6703\\u6574\\u9ad4)\\u7684\\u793e\\u6703\\u5f71\\u97ff\\uff1f\", 
159
93e\\u6703\\u6574\\u9ad4)\\u7684\\u793e\\u6703\\u5f71\\u97ff\\uff1f\", 
            
160
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
160
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
161
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
161
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
162
Attack and Security\", \"serial\": \"2-3\", \"question\": 
162
Attack and Security\", \"serial\": \"2-3\", \"question\": 
            
163
8def\\u653b\\u64ca\\u7684\\u98a8\\u96aa\\u6709\\u591a\\u5927\\uff1f\", 
163
8def\\u653b\\u64ca\\u7684\\u98a8\\u96aa\\u6709\\u591a\\u5927\\uff1f\", 
            
164
\"answer\": 
164
\"answer\": 
            
165
\u5927|\\u5927|\\u4e2d|\\u5c0f|\\u5f88\\u5c0f|\\u4e0d\\u9069\\u7528\", 
165
\u5927|\\u5927|\\u4e2d|\\u5c0f|\\u5f88\\u5c0f|\\u4e0d\\u9069\\u7528\", 
            
166
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
166
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
167
Bias\", \"serial\": \"5-2-1\", \"question\": 
167
Bias\", \"serial\": \"5-2-1\", \"question\": 
            
168
7528\\u6848\\u4f8b\\uff0c\\u4f86\\u9032\\u884c\\u6e2c\\u8a66\\uff1f\", 
168
7528\\u6848\\u4f8b\\uff0c\\u4f86\\u9032\\u884c\\u6e2c\\u8a66\\uff1f\", 
            
169
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
169
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
170
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
170
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
            
171
at large or Democracy\", \"serial\": \"6-8-2\", \"question\": 
171
at large or Democracy\", \"serial\": \"6-8-2\", \"question\": 
            
172
5728\\u793e\\u6703\\u5371\\u5bb3\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", 
172
5728\\u793e\\u6703\\u5371\\u5bb3\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", 
            
173
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
173
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
174
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
174
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
175
Universal Design\", \"serial\": \"5-7-1\", \"question\": 
175
Universal Design\", \"serial\": \"5-7-1\", \"question\": 
            
176
7684\\u8cc7\\u8a0a\\u53ca\\u4f7f\\u7528\\u8005\\u754c\\u9762\\uff1f\", 
176
7684\\u8cc7\\u8a0a\\u53ca\\u4f7f\\u7528\\u8005\\u754c\\u9762\\uff1f\", 
            
177
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
177
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
178
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
178
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
179
Skills\", \"serial\": \"6-5\", \"question\": 
179
Skills\", \"serial\": \"6-5\", \"question\": 
            
180
7684\\u5f71\\u97ff\\uff0c\\u88ab\\u5145\\u5206\\u77ad\\u89e3\\uff1f\", 
180
7684\\u5f71\\u97ff\\uff0c\\u88ab\\u5145\\u5206\\u77ad\\u89e3\\uff1f\", 
            
181
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
181
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
182
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
182
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
            
183
\"serial\": \"2-14\", \"question\": 
183
\"serial\": \"2-14\", \"question\": 
            
184
04AI\\u7cfb\\u7d71\\u6e96\\u78ba\\u6027\\u4e4b\\u6b65\\u9a5f\\uff1f\", 
184
04AI\\u7cfb\\u7d71\\u6e96\\u78ba\\u6027\\u4e4b\\u6b65\\u9a5f\\uff1f\", 
            
185
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
185
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
186
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
186
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
            
187
\"serial\": \"4-5-1\", \"question\": 
187
\"serial\": \"4-5-1\", \"question\": 
            
188
28\\u8005\\u6e9d\\u901aAI\\u7cfb\\u7d71\\u7684\\u597d\\u8655\\uff1f\", 
188
28\\u8005\\u6e9d\\u901aAI\\u7cfb\\u7d71\\u7684\\u597d\\u8655\\uff1f\", 
            
189
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
189
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
190
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
190
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
            
191
Well-being\", \"serial\": \"6-2\", \"question\": 
191
Well-being\", \"serial\": \"6-2\", \"question\": 
            
192
392\\u653e\\u91cf)\\u5c0d\\u74b0\\u5883\\u7684\\u5f71\\u97ff\\uff1f\", 
192
392\\u653e\\u91cf)\\u5c0d\\u74b0\\u5883\\u7684\\u5f71\\u97ff\\uff1f\", 
            
193
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
193
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
194
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
194
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
195
\"serial\": \"3-4-1\", \"question\": 
195
\"serial\": \"3-4-1\", \"question\": 
            
196
0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", 
196
0d\\u7d0d\\u5165AI\\u7cfb\\u7d71\\u7684\\u958b\\u767c\\u4e2d\\uff1f\", 
            
197
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
197
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
198
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
198
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
199
\"serial\": \"4-1-2\", \"question\": 
199
\"serial\": \"4-1-2\", \"question\": 
            
200
505a\\u51fa\\u7279\\u5b9a\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
200
505a\\u51fa\\u7279\\u5b9a\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
            
201
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
201
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
202
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
202
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
203
\"serial\": \"2-7-2\", \"question\": 
203
\"serial\": \"2-7-2\", \"question\": 
            
204
0cAI\\u73fe\\u6709\\u6216\\u6f5b\\u5728\\u7684\\u98a8\\u96aa\\uff1f\", 
204
0cAI\\u73fe\\u6709\\u6216\\u6f5b\\u5728\\u7684\\u98a8\\u96aa\\uff1f\", 
            
205
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
205
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
206
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
206
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
207
\"serial\": \"7-4\", \"question\": 
207
\"serial\": \"7-4\", \"question\": 
            
208
662f\\u5426\\u6703\\u7c4c\\u8fa6\\u98a8\\u96aa\\u57f9\\u8a13\\uff1f\", 
208
662f\\u5426\\u6703\\u7c4c\\u8fa6\\u98a8\\u96aa\\u57f9\\u8a13\\uff1f\", 
            
209
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
209
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
210
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
210
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
211
Autonomy\", \"serial\": \"1-1-2\", \"question\": 
211
Autonomy\", \"serial\": \"1-1-2\", \"question\": 
            
212
2f\\u6e90\\u81eaAI\\u6f14\\u7b97\\u6cd5\\u7684\\u6c7a\\u7b56\\uff1f\", 
212
2f\\u6e90\\u81eaAI\\u6f14\\u7b97\\u6cd5\\u7684\\u6c7a\\u7b56\\uff1f\", 
            
213
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
213
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
214
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
214
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
215
Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", 
215
Fall-back Plans and Reproducibility\", \"serial\": \"2-17-2\", 
            
216
\"question\": 
216
\"question\": 
            
217
8003\\u616e\\uff0c\\u4ee5\\u78ba\\u4fdd\\u518d\\u73fe\\u6027\\uff1f\", 
217
8003\\u616e\\uff0c\\u4ee5\\u78ba\\u4fdd\\u518d\\u73fe\\u6027\\uff1f\", 
            
218
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
218
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
219
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
219
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
            
220
\"serial\": \"1-9\", \"question\": 
220
\"serial\": \"1-9\", \"question\": 
            
221
5efa\\u7acb\\u5075\\u6e2c\\u53ca\\u53cd\\u61c9\\u6a5f\\u5236\\uff1f\", 
221
5efa\\u7acb\\u5075\\u6e2c\\u53ca\\u53cd\\u61c9\\u6a5f\\u5236\\uff1f\", 
            
222
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
222
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
223
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
223
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
224
Bias\", \"serial\": \"5-2-2\", \"question\": 
224
Bias\", \"serial\": \"5-2-2\", \"question\": 
            
225
3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", 
225
3001\\u6a21\\u578b\\u8207\\u6027\\u80fd\\u7684\\u7406\\u89e3\\uff1f\", 
            
226
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
226
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
227
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
227
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Environmental 
            
228
Well-being\", \"serial\": \"6-2-1\", \"question\": 
228
Well-being\", \"serial\": \"6-2-1\", \"question\": 
            
229
671f\\u5167\\uff0c\\u5c0d\\u74b0\\u5883\\u7684\\u5f71\\u97ff\\uff1f\", 
229
671f\\u5167\\uff0c\\u5c0d\\u74b0\\u5883\\u7684\\u5f71\\u97ff\\uff1f\", 
            
230
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
230
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
231
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
231
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
232
Skills\", \"serial\": \"6-5-1\", \"question\": 
232
Skills\", \"serial\": \"6-5-1\", \"question\": 
            
233
5177\\u6709\\u8207\\u4e0d\\u5177\\u6709\\u7684\\u80fd\\u529b\\uff1f\", 
233
5177\\u6709\\u8207\\u4e0d\\u5177\\u6709\\u7684\\u80fd\\u529b\\uff1f\", 
            
234
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
234
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
235
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
235
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
236
Attack and Security\", \"serial\": \"2-3-1\", \"question\": 
236
Attack and Security\", \"serial\": \"2-3-1\", \"question\": 
            
237
53d7\\u5230\\u653b\\u64ca\\u7684\\u6f5b\\u5728\\u5f62\\u5f0f\\uff1f\", 
237
53d7\\u5230\\u653b\\u64ca\\u7684\\u6f5b\\u5728\\u5f62\\u5f0f\\uff1f\", 
            
238
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
238
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
239
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
239
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
240
Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", 
240
Fall-back Plans and Reproducibility\", \"serial\": \"2-18\", 
            
241
\"question\": 
241
\"question\": 
            
242
8207\\u518d\\u73fe\\u6027\\u7684\\u4e0d\\u540c\\u9762\\u5411\\uff1f\", 
242
8207\\u518d\\u73fe\\u6027\\u7684\\u4e0d\\u540c\\u9762\\u5411\\uff1f\", 
            
243
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
243
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
244
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
244
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
245
\"serial\": \"7-4-1\", \"question\": 
245
\"serial\": \"7-4-1\", \"question\": 
            
246
28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", 
246
28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", 
            
247
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
247
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
248
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
248
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
            
249
\"serial\": \"1-10\", \"question\": 
249
\"serial\": \"1-10\", \"question\": 
            
250
8981\\u6642\\u5b89\\u5168\\u5730\\u4e2d\\u6b62\\u64cd\\u4f5c\\uff1f\", 
250
8981\\u6642\\u5b89\\u5168\\u5730\\u4e2d\\u6b62\\u64cd\\u4f5c\\uff1f\", 
            
251
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
251
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
252
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
252
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
253
\"serial\": \"4-1-3\", \"question\": 
253
\"serial\": \"4-1-3\", \"question\": 
            
254
7d71\\u505a\\u51fa\\u8a72\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
254
7d71\\u505a\\u51fa\\u8a72\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
            
255
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
255
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
256
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
256
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
257
\"serial\": \"2-8\", \"question\": 
257
\"serial\": \"2-8\", \"question\": 
            
258
883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", 
258
883\\u5a01\\u8105)\\u53ca\\u53ef\\u80fd\\u7684\\u5f8c\\u679c\\uff1f\", 
            
259
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
259
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
260
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
260
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
261
\"serial\": \"3-4-2\", \"question\": 
261
\"serial\": \"3-4-2\", \"question\": 
            
262
500b\\u4eba\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", 
262
500b\\u4eba\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", 
            
263
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
263
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
264
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
264
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Society 
            
265
at large or Democracy\", \"serial\": \"6-8-3\", \"question\": 
265
at large or Democracy\", \"serial\": \"6-8-3\", \"question\": 
            
266
4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
266
4e3b\\u4e0d\\u6703\\u7522\\u751f\\u8ca0\\u9762\\u5f71\\u97ff\\uff1f\", 
            
267
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
267
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
268
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
268
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
            
269
\"serial\": \"2-15\", \"question\": 
269
\"serial\": \"2-15\", \"question\": 
            
270
a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", 
270
a13\\u7df4\\u7684\\u8cc7\\u6599\\u6216\\u5047\\u8a2d\\u5931\\u6548?\", 
            
271
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
271
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
272
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
272
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
            
273
\"serial\": \"4-5-2\", \"question\": 
273
\"serial\": \"4-5-2\", \"question\": 
            
274
176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", 
274
176\\u6e96\\u78ba\\u5ea6\\u8207/\\u6216\\u932f\\u8aa4\\u7387\\uff1f\", 
            
275
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
275
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
276
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
276
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
277
Autonomy\", \"serial\": \"1-2\", \"question\": 
277
Autonomy\", \"serial\": \"1-2\", \"question\": 
            
278
07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", 
278
07AI\\u4e92\\u52d5\\u300d\\uff0c\\u7522\\u751f\\u6df7\\u6dc6\\uff1f\", 
            
279
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
279
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
280
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
280
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
281
Universal Design\", \"serial\": \"5-7-2\", \"question\": 
281
Universal Design\", \"serial\": \"5-7-2\", \"question\": 
            
282
4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", 
282
4e3b\\u9ad4\\uff0c\\u4f86\\u53c3\\u8207\\u6216\\u8aee\\u8a62\\uff1f\", 
            
283
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
283
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
284
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
284
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accuracy\", 
            
285
\"serial\": \"2-16\", \"question\": 
285
\"serial\": \"2-16\", \"question\": 
            
286
40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", 
286
40\\u671f\\u5f85\\u7684AI\\u6e96\\u78ba\\u6027\\u7a0b\\u5ea6\\uff1f\", 
            
287
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
287
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
288
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
288
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
289
Autonomy\", \"serial\": \"1-2-1\", \"question\": 
289
Autonomy\", \"serial\": \"1-2-1\", \"question\": 
            
290
d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", 
290
d6\\u5011\\u6b63\\u5728\\u8207AI\\u7cfb\\u7d71\\u4e92\\u52d5\\uff1f\", 
            
291
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
291
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
292
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
292
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
293
Attack and Security\", \"serial\": \"2-3-2\", \"question\": 
293
Attack and Security\", \"serial\": \"2-3-2\", \"question\": 
            
294
28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", 
294
28\\u7684\\u653b\\u64ca\\u9ede\\u70ba\\uff1a(\\u53ef\\u8907\\u9078)\", 
            
295
\"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data 
295
\"answer\": \"\\u8907\\u9078^\\u8cc7\\u6599\\u6c61\\u67d3\\uff08Data 
            
296
poisoning, 
296
poisoning, 
            
297
3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model 
297
3\\u7df4\\u8cc7\\u6599\\uff09|\\u6a21\\u578b\\u898f\\u907f\\uff08Model 
            
298
evasion, 
298
evasion, 
            
299
6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model 
299
6\\u985e\\uff09|\\u6a21\\u578b\\u9006\\u5411\\u653b\\u64ca\\uff08Model 
            
300
inversion, 
300
inversion, 
            
301
3a8\\u65b7\\u6a21\\u578b\\u53c3\\u6578\\uff09|\\u4e0d\\u9069\\u7528\", 
301
3a8\\u65b7\\u6a21\\u578b\\u53c3\\u6578\\uff09|\\u4e0d\\u9069\\u7528\", 
            
302
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
302
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Oversight\", 
            
303
\"serial\": \"1-11\", \"question\": 
303
\"serial\": \"1-11\", \"question\": 
            
304
5b78\\u7fd2\\u6216\\u81ea\\u4e3b\\u6027\\u7684\\u7279\\u8cea\\uff1f\", 
304
5b78\\u7fd2\\u6216\\u81ea\\u4e3b\\u6027\\u7684\\u7279\\u8cea\\uff1f\", 
            
305
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
305
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
306
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
306
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
307
Universal Design\", \"serial\": \"5-8\", \"question\": 
307
Universal Design\", \"serial\": \"5-8\", \"question\": 
            
308
ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal 
308
ff0c\\u8003\\u616e\\u901a\\u7528\\u8a2d\\u8a08\\u539f\\u5247(Universal 
            
309
Design principles)\\uff1f\", \"answer\": 
309
Design principles)\\uff1f\", \"answer\": 
            
310
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
310
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
311
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
311
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
312
\"serial\": \"3-5\", \"question\": 
312
\"serial\": \"3-5\", \"question\": 
            
313
79c1\\u53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", 
313
79c1\\u53ca\\u8cc7\\u6599\\u4fdd\\u8b77\\u7684\\u5f71\\u97ff\\uff1f\", 
            
314
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
314
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
315
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
315
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
316
\"serial\": \"4-1-4\", \"question\": 
316
\"serial\": \"4-1-4\", \"question\": 
            
317
55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", 
317
55\\u4f30AI\\u7cfb\\u7d71\\u8f38\\u51fa\\u7684\\u54c1\\u8cea\\uff1f\", 
            
318
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
318
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
319
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
319
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
320
Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", 
320
Fall-back Plans and Reproducibility\", \"serial\": \"2-18-1\", 
            
321
\"question\": 
321
\"question\": 
            
322
8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", 
322
8cf4\\u6027\\u53ca\\u518d\\u73fe\\u6027\\u7684\\u6d41\\u7a0b\\uff1f\", 
            
323
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
323
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
324
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
324
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Communication\", 
            
325
\"serial\": \"4-5-3\", \"question\": 
325
\"serial\": \"4-5-3\", \"question\": 
            
326
57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", 
326
57f9\\u8a13\\u8cc7\\u6599\\u8207\\u514d\\u8cac\\u8072\\u660e\\uff1f\", 
            
327
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
327
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
328
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
328
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
329
\"serial\": \"7-5\", \"question\": 
329
\"serial\": \"7-5\", \"question\": 
            
330
5728\\u4e0d\\u660e\\u78ba\\u7684\\u7070\\u8272\\u5730\\u5e36\\uff1f\", 
330
5728\\u4e0d\\u660e\\u78ba\\u7684\\u7070\\u8272\\u5730\\u5e36\\uff1f\", 
            
331
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
331
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
332
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
332
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
333
Skills\", \"serial\": \"6-6\", \"question\": 
333
Skills\", \"serial\": \"6-6\", \"question\": 
            
334
2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk 
334
2f\\u5426\\u6709\\u52de\\u52d5\\u529b\\u53bb\\u6280\\u8853\\u5316(risk 
            
335
of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", 
335
of de-skilling of the workforce)\\u7684\\u98a8\\u96aa\\uff1f\", 
            
336
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
336
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
337
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
337
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
338
Bias\", \"serial\": \"5-2-3\", \"question\": 
338
Bias\", \"serial\": \"5-2-3\", \"question\": 
            
339
ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", 
339
ee3\\u8868\\u6027)\\u800c\\u5c0e\\u81f4\\u7684\\u504f\\u898b\\uff1f\", 
            
340
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
340
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
341
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
341
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
342
\"serial\": \"2-8-1\", \"question\": 
342
\"serial\": \"2-8-1\", \"question\": 
            
343
6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", 
343
6feb\\u7528\\u6216\\u4e0d\\u7576\\u4f7f\\u7528\\u98a8\\u96aa\\uff1f\", 
            
344
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
344
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
345
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
345
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
346
Skills\", \"serial\": \"6-6-1\", \"question\": 
346
Skills\", \"serial\": \"6-6-1\", \"question\": 
            
347
7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", 
347
7de9\\u89e3\\u53bb\\u6280\\u8853\\u5316\\u7684\\u98a8\\u96aa\\uff1f\", 
            
348
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
348
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
349
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
349
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
350
Universal Design\", \"serial\": \"5-9\", \"question\": 
350
Universal Design\", \"serial\": \"5-9\", \"question\": 
            
351
3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", 
351
3ca/\\u6216\\u4e3b\\u9ad4\\u7684\\u5404\\u7a2e\\u5f71\\u97ff\\uff1f\", 
            
352
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
352
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
353
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
353
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
354
Autonomy\", \"serial\": \"1-3\", \"question\": 
354
Autonomy\", \"serial\": \"1-3\", \"question\": 
            
355
800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
355
800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
            
356
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
356
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
357
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
357
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
358
\"serial\": \"2-8-2\", \"question\": 
358
\"serial\": \"2-8-2\", \"question\": 
            
359
83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", 
359
83c\\u5b8c\\u6574\\u6027\\uff1a\\u8eab\\u5fc3\\u5b8c\\u6574\\u6027)\", 
            
360
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
360
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
361
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
361
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Data Governance\", 
            
362
\"serial\": \"3-6\", \"question\": 
362
\"serial\": \"3-6\", \"question\": 
            
363
\u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 
363
\u7cfb\\u7d71\\u7b26\\u5408\\u76f8\\u95dc\\u6a19\\u6e96(\\u4f8b\\u5982 
            
364
8cc7\\u6599\\u7ba1\\u7406\\u53ca\\u6cbb\\u7406\\u5354\\u5b9a\\uff1f\", 
364
8cc7\\u6599\\u7ba1\\u7406\\u53ca\\u6cbb\\u7406\\u5354\\u5b9a\\uff1f\", 
            
365
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
365
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
366
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
366
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
367
Bias\", \"serial\": \"5-2-4\", \"question\": 
367
Bias\", \"serial\": \"5-2-4\", \"question\": 
            
368
9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", 
368
9ad4\\u7684\\u591a\\u6a23\\u6027\\u8207\\u4ee3\\u8868\\u6027\\uff1f\", 
            
369
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
369
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
370
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
370
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
371
\"serial\": \"7-6\", \"question\": 
371
\"serial\": \"7-6\", \"question\": 
            
372
2c\\u53ef\\u4fe1\\u4efbAI\\u81ea\\u6211\\u8a55\\u4f30\\u8868\\uff1f\", 
372
2c\\u53ef\\u4fe1\\u4efbAI\\u81ea\\u6211\\u8a55\\u4f30\\u8868\\uff1f\", 
            
373
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
373
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
374
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
374
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
375
Attack and Security\", \"serial\": \"2-4\", \"question\": 
375
Attack and Security\", \"serial\": \"2-4\", \"question\": 
            
376
7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", 
376
7a69\\u5065\\u6027\\u53ca\\u6574\\u9ad4\\u5b89\\u5168\\u6027\\uff1f\", 
            
377
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
377
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
378
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
378
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
379
Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", 
379
Fall-back Plans and Reproducibility\", \"serial\": \"2-19\", 
            
380
\"question\": 
380
\"question\": 
            
381
u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI 
381
u756b\\uff0c\\u4ee5\\u89e3\\u6c7a\\u4efb\\u4f55\\u4f86\\u6e90\\u7684AI 
            
382
6cbb\\u7406\\u7a0b\\u5e8f\\u4f86\\u89f8\\u767c\\u5b83\\u5011\\uff1f\", 
382
6cbb\\u7406\\u7a0b\\u5e8f\\u4f86\\u89f8\\u767c\\u5b83\\u5011\\uff1f\", 
            
383
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
383
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
384
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
384
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Traceability\", 
            
385
\"serial\": \"4-1-5\", \"question\": 
385
\"serial\": \"4-1-5\", \"question\": 
            
386
04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
386
04AI\\u7cfb\\u7d71\\u7684\\u6c7a\\u7b56\\u6216\\u5efa\\u8b70\\uff1f\", 
            
387
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
387
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
388
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
388
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
389
Bias\", \"serial\": \"5-3\", \"question\": 
389
Bias\", \"serial\": \"5-3\", \"question\": 
            
390
6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", 
390
6642\\uff0c\\u53ef\\u80fd\\u6ce8\\u5165\\u7684\\u504f\\u898b\\uff1f\", 
            
391
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
391
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
392
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
392
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
393
\"serial\": \"7-6-1\", \"question\": 
393
\"serial\": \"7-6-1\", \"question\": 
            
394
f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" 
394
f5c\\u51fa\\u300c\\u6b0a\\u8861\\u6c7a\\u5b9a\\u300d(\\\"trade-off\\\" 
            
395
decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": 
395
decisions)\\u7684\\u89e3\\u91cb\\uff1f\", \"answer\": 
            
396
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
396
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
397
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
397
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
398
Autonomy\", \"serial\": \"1-3-1\", \"question\": 
398
Autonomy\", \"serial\": \"1-3-1\", \"question\": 
            
399
42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", 
399
42\\u7aef\\u4f7f\\u7528\\u8005\\u904e\\u5ea6\\u4f9d\\u8cf4AI\\uff1f\", 
            
400
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
400
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
401
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
401
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
402
Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", 
402
Fall-back Plans and Reproducibility\", \"serial\": \"2-20\", 
            
403
\"question\": 
403
\"question\": 
            
404
679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", 
404
679c\\uff0c\\u4fe1\\u4efb\\u5ea6\\u4f4e\\u7684\\u60c5\\u6cc1\\uff1f\", 
            
405
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
405
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
406
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
406
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
407
Skills\", \"serial\": \"6-7\", \"question\": 
407
Skills\", \"serial\": \"6-7\", \"question\": 
            
408
16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", 
408
16\\u9700\\u6c42\\u65b0\\u7684(\\u6578\\u4f4d)\\u6280\\u80fd\\uff1f\", 
            
409
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
409
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
410
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
410
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
411
\"serial\": \"2-9\", \"question\": 
411
\"serial\": \"2-9\", \"question\": 
            
412
53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", 
412
53ef\\u4fe1\\u8cf4\\u884c\\u70ba\\u7684\\u4f9d\\u8cf4\\u6027\\uff1f\", 
            
413
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
413
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
414
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
414
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
415
Attack and Security\", \"serial\": \"2-5\", \"question\": 
415
Attack and Security\", \"serial\": \"2-5\", \"question\": 
            
416
\\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a 
416
\\u662f\\u5426\\u5df2\\u5c0d\\u7cfb\\u7d71\\u9032\\u884c\\u7d05\\u968a 
            
417
/ \\u6e2c\\u8a66\\uff1f\", \"answer\": 
417
/ \\u6e2c\\u8a66\\uff1f\", \"answer\": 
            
418
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
418
\"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
419
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
419
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
420
Universal Design\", \"serial\": \"5-9-1\", \"question\": 
420
Universal Design\", \"serial\": \"5-9-1\", \"question\": 
            
421
005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", 
421
005\\u8207/\\u6216\\u4e3b\\u9ad4\\u9032\\u884c\\u63a5\\u89f8\\uff1f\", 
            
422
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
422
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
423
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
423
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
424
Autonomy\", \"serial\": \"1-4\", \"question\": 
424
Autonomy\", \"serial\": \"1-4\", \"question\": 
            
425
800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
425
800c\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
            
426
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
426
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
427
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
427
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Impact on Work and 
            
428
Skills\", \"serial\": \"6-7-1\", \"question\": 
428
Skills\", \"serial\": \"6-7-1\", \"question\": 
            
429
63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", 
429
63d0\\u4f9b\\u57f9\\u8a13\\u6a5f\\u6703\\u8207\\u6750\\u6599\\uff1f\", 
            
430
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
430
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
431
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
431
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
432
Attack and Security\", \"serial\": \"2-6\", \"question\": 
432
Attack and Security\", \"serial\": \"2-6\", \"question\": 
            
433
5b89\\u5168\\u64d4\\u4fdd\\u53ca\\u66f4\\u65b0\\u671f\\u9593\\uff1f\", 
433
5b89\\u5168\\u64d4\\u4fdd\\u53ca\\u66f4\\u65b0\\u671f\\u9593\\uff1f\", 
            
434
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
434
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
435
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
435
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
436
Universal Design\", \"serial\": \"5-9-2\", \"question\": 
436
Universal Design\", \"serial\": \"5-9-2\", \"question\": 
            
437
f8b\\u5730\\u5f71\\u97ff\\uff1a\\u904e\\u5ea6\\u5730\\u5f71\\u97ff)\", 
437
f8b\\u5730\\u5f71\\u97ff\\uff1a\\u904e\\u5ea6\\u5730\\u5f71\\u97ff)\", 
            
438
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
438
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
439
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
439
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
440
Bias\", \"serial\": \"5-4\", \"question\": 
440
Bias\", \"serial\": \"5-4\", \"question\": 
            
441
4e0d\\u826f\\u6027\\u80fd\\u7684\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", 
441
4e0d\\u826f\\u6027\\u80fd\\u7684\\u76f8\\u95dc\\u554f\\u984c\\uff1f\", 
            
442
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
442
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
443
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
443
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
444
Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", 
444
Fall-back Plans and Reproducibility\", \"serial\": \"2-21\", 
            
445
\"question\": 
445
\"question\": 
            
446
7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", 
446
7f\\u7528(\\u7dda\\u4e0a)\\u6301\\u7e8c\\u7684\\u5b78\\u7fd2\\uff1f\", 
            
447
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
447
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
448
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
448
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
449
\"serial\": \"2-9-1\", \"question\": 
449
\"serial\": \"2-9-1\", \"question\": 
            
450
5b9a\\u6027\\u8207\\u53ef\\u4fe1\\u8cf4\\u6027\\u6c34\\u5e73\\uff1f\", 
450
5b9a\\u6027\\u8207\\u53ef\\u4fe1\\u8cf4\\u6027\\u6c34\\u5e73\\uff1f\", 
            
451
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
451
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
452
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
452
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
453
\"serial\": \"7-6-2\", \"question\": 
453
\"serial\": \"7-6-2\", \"question\": 
            
454
4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", 
454
4e4b\\u4eba\\uff0c\\u63d0\\u4f9b\\u9069\\u7576\\u57f9\\u8a13\\uff1f\", 
            
455
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
455
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
456
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
456
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
457
Bias\", \"serial\": \"5-4-1\", \"question\": 
457
Bias\", \"serial\": \"5-4-1\", \"question\": 
            
458
78ba\\u7684\\u6e9d\\u901a\\u6b65\\u9a5f\\u53ca\\u65b9\\u6cd5\\uff1f\", 
458
78ba\\u7684\\u6e9d\\u901a\\u6b65\\u9a5f\\u53ca\\u65b9\\u6cd5\\uff1f\", 
            
459
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
459
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
460
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
460
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
461
\"serial\": \"7-6-3\", \"question\": 
461
\"serial\": \"7-6-3\", \"question\": 
            
462
28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", 
462
28\\u65bcAI\\u7cfb\\u7d71\\u7684\\u6cd5\\u5f8b\\u898f\\u7bc4\\uff1f\", 
            
463
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
463
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
464
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
464
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
465
Autonomy\", \"serial\": \"1-4-1\", \"question\": 
465
Autonomy\", \"serial\": \"1-4-1\", \"question\": 
            
466
4e2d\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
466
4e2d\\u5f71\\u97ff\\u4eba\\u985e\\u7684\\u81ea\\u4e3b\\u6027\\uff1f\", 
            
467
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
467
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
468
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
468
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Reliability, 
            
469
Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", 
469
Fall-back Plans and Reproducibility\", \"serial\": \"2-21-1\", 
            
470
\"question\": 
470
\"question\": 
            
471
6703\\u6709\\u6f5b\\u5728\\u7684\\u8ca0\\u9762\\u7d50\\u679c\\uff1f\", 
471
6703\\u6709\\u6f5b\\u5728\\u7684\\u8ca0\\u9762\\u7d50\\u679c\\uff1f\", 
            
472
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
472
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
473
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
473
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
474
\"serial\": \"2-10\", \"question\": 
474
\"serial\": \"2-10\", \"question\": 
            
475
df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated 
475
df2\\u900f\\u904e\\u4e00\\u500b\\u5099\\u4efd\\u7cfb\\u7d71(duplicated 
            
476
0b3\\u7d71\\u300d\\u7684)\\u4f86\\u6e96\\u5099\\u5bb9\\u932f\\uff1f\", 
476
0b3\\u7d71\\u300d\\u7684)\\u4f86\\u6e96\\u5099\\u5bb9\\u932f\\uff1f\", 
            
477
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
477
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
478
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
478
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Accessibility and 
            
479
Universal Design\", \"serial\": \"5-9-3\", \"question\": 
479
Universal Design\", \"serial\": \"5-9-3\", \"question\": 
            
480
80fd\\u9020\\u6210\\u7684\\u4e0d\\u516c\\u5e73\\u98a8\\u96aa\\uff1f\", 
480
80fd\\u9020\\u6210\\u7684\\u4e0d\\u516c\\u5e73\\u98a8\\u96aa\\uff1f\", 
            
481
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
481
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
482
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
482
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Resilience to 
            
483
Attack and Security\", \"serial\": \"2-6-1\", \"question\": 
483
Attack and Security\", \"serial\": \"2-6-1\", \"question\": 
            
484
5168\\u66f4\\u65b0\\u7684\\u671f\\u9650\\u662f\\u591a\\u9577\\uff1f\", 
484
5168\\u66f4\\u65b0\\u7684\\u671f\\u9650\\u662f\\u591a\\u9577\\uff1f\", 
            
485
\"answer\": 
485
\"answer\": 
            
486
\"\\u55ae\\u9078^3\\u500b\\u6708|\\u534a\\u5e74|\\u4e00\\u5e74\", 
486
\"\\u55ae\\u9078^3\\u500b\\u6708|\\u534a\\u5e74|\\u4e00\\u5e74\", 
            
487
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
487
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
488
Bias\", \"serial\": \"5-4-2\", \"question\": 
488
Bias\", \"serial\": \"5-4-2\", \"question\": 
            
489
a5\\u53d7AI\\u7cfb\\u7d71\\u5f71\\u97ff\\u7684\\u4e3b\\u9ad4\\uff1f\", 
489
a5\\u53d7AI\\u7cfb\\u7d71\\u5f71\\u97ff\\u7684\\u4e3b\\u9ad4\\uff1f\", 
            
490
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
490
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
491
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
491
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
492
\"serial\": \"7-7\", \"question\": 
492
\"serial\": \"7-7\", \"question\": 
            
493
3001\\u98a8\\u96aa\\u6216\\u504f\\u898b\\u7684\\u6d41\\u7a0b\\uff1f\", 
493
3001\\u98a8\\u96aa\\u6216\\u504f\\u898b\\u7684\\u6d41\\u7a0b\\uff1f\", 
            
494
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
494
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
495
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
495
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
496
Autonomy\", \"serial\": \"1-5\", \"question\": 
496
Autonomy\", \"serial\": \"1-5\", \"question\": 
            
497
4e3b\\u9ad4\\u4e4b\\u9593\\u7684\\u793e\\u4ea4\\u4e92\\u52d5\\uff1f\", 
497
4e3b\\u9ad4\\u4e4b\\u9593\\u7684\\u793e\\u4ea4\\u4e92\\u52d5\\uff1f\", 
            
498
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
498
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
499
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
499
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"General Safety\", 
            
500
\"serial\": \"2-11\", \"question\": 
500
\"serial\": \"2-11\", \"question\": 
            
501
6027\\u53ca\\u5b89\\u5168\\u6027\\u9032\\u884c\\u5be9\\u67e5\\uff1f\", 
501
6027\\u53ca\\u5b89\\u5168\\u6027\\u9032\\u884c\\u5be9\\u67e5\\uff1f\", 
            
502
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
502
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
503
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
503
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
504
Bias\", \"serial\": \"5-5\", \"question\": 
504
Bias\", \"serial\": \"5-5\", \"question\": 
            
505
5efa\\u7f6e\\u904e\\u7a0b\\u7684\\u4efb\\u4f55\\u968e\\u6bb5\\uff1f\", 
505
5efa\\u7f6e\\u904e\\u7a0b\\u7684\\u4efb\\u4f55\\u968e\\u6bb5\\uff1f\", 
            
506
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
506
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
507
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
507
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
508
\"serial\": \"7-7-1\", \"question\": 
508
\"serial\": \"7-7-1\", \"question\": 
            
509
98a8\\u96aa\\u7ba1\\u7406\\u6d41\\u7a0b\\u7684\\u4fee\\u8a02\\uff1f\", 
509
98a8\\u96aa\\u7ba1\\u7406\\u6d41\\u7a0b\\u7684\\u4fee\\u8a02\\uff1f\", 
            
510
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
510
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
511
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
511
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
512
Autonomy\", \"serial\": \"1-6\", \"question\": 
512
Autonomy\", \"serial\": \"1-6\", \"question\": 
            
513
7e31\\u4f7f\\u7528\\u8005\\u884c\\u70ba\\u7684\\u98a8\\u96aa\\uff1f\", 
513
7e31\\u4f7f\\u7528\\u8005\\u884c\\u70ba\\u7684\\u98a8\\u96aa\\uff1f\", 
            
514
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
514
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
515
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
515
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
516
Bias\", \"serial\": \"5-5-1\", \"question\": 
516
Bias\", \"serial\": \"5-5-1\", \"question\": 
            
517
616e\\u904e\\u5176\\u4ed6\\u516c\\u5e73\\u7684\\u5b9a\\u7fa9\\uff1f\", 
517
616e\\u904e\\u5176\\u4ed6\\u516c\\u5e73\\u7684\\u5b9a\\u7fa9\\uff1f\", 
            
518
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
518
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
519
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
519
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Risk Management\", 
            
520
\"serial\": \"7-8\", \"question\": 
520
\"serial\": \"7-8\", \"question\": 
            
521
5373\\u8003\\u616e\\u5efa\\u7acb\\u88dc\\u6551\\u6a5f\\u5236\\uff1f\", 
521
5373\\u8003\\u616e\\u5efa\\u7acb\\u88dc\\u6551\\u6a5f\\u5236\\uff1f\", 
            
522
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
522
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
523
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
523
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
524
Autonomy\", \"serial\": \"1-6-1\", \"question\": 
524
Autonomy\", \"serial\": \"1-6-1\", \"question\": 
            
525
bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", 
525
bd4\\u4f8b\\u7684\\u4f9d\\u8cf4\\uff1a\\u904e\\u5ea6\\u4f9d\\u8cf4)\", 
            
526
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
526
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
527
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
527
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
528
Bias\", \"serial\": \"5-5-2\", \"question\": 
528
Bias\", \"serial\": \"5-5-2\", \"question\": 
            
529
5e74\\u4eba\\u6216\\u5931\\u80fd\\u8005\\u7684\\u4ee3\\u8868\\uff1f\", 
529
5e74\\u4eba\\u6216\\u5931\\u80fd\\u8005\\u7684\\u4ee3\\u8868\\uff1f\", 
            
530
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
530
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
531
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
531
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
532
Autonomy\", \"serial\": \"1-6-2\", \"question\": 
532
Autonomy\", \"serial\": \"1-6-2\", \"question\": 
            
533
6210\\u766e\\u98a8\\u96aa\\uff0c\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", 
533
6210\\u766e\\u98a8\\u96aa\\uff0c\\u964d\\u5230\\u6700\\u4f4e\\uff1f\", 
            
534
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
534
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
535
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
535
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
536
Bias\", \"serial\": \"5-5-3\", \"question\": 
536
Bias\", \"serial\": \"5-5-3\", \"question\": 
            
537
8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", 
537
8a66\\u6240\\u9069\\u7528\\u7684\\u516c\\u5e73\\u5b9a\\u7fa9\\uff1f\", 
            
538
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
538
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
539
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
539
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Human Agency and 
            
540
Autonomy\", \"serial\": \"1-6-3\", \"question\": 
540
Autonomy\", \"serial\": \"1-6-3\", \"question\": 
            
541
4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", 
541
4e\\u64cd\\u63a7(\\u4f7f\\u7528\\u8005)\\u7684\\u98a8\\u96aa\\uff1f\", 
            
542
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
542
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
543
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
543
\"pkg_answer\": \"\", \"note\": \"\"}, {\"cat\": \"Avoidance of Unfair 
            
544
Bias\", \"serial\": \"5-5-4\", \"question\": 
544
Bias\", \"serial\": \"5-5-4\", \"question\": 
            
545
ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", 
545
ba\\u4fddAI\\u7cfb\\u7d71\\u516c\\u5e73\\u7684\\u6a5f\\u5236\\uff1f\", 
            
546
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
546
\"answer\": \"\\u55ae\\u9078^\\u662f|\\u5426|\\u4e0d\\u9069\\u7528\", 
            
547
\"pkg_answer\": \"\", \"note\": \"\"}]",
547
\"pkg_answer\": \"\", \"note\": \"\"}]",
            
548
  "annotationinfos1": "[{\"field1\": 
548
  "annotationinfos1": "[{\"field1\": 
            
549
\"\\u6c34\\u7a3b\\u5012\\u4f0f\\u8a9e\\u610f\\u5206\\u5272\", 
549
\"\\u6c34\\u7a3b\\u5012\\u4f0f\\u8a9e\\u610f\\u5206\\u5272\", 
            
550
\"field2\": \"images\", \"field3\": \"masks (masks_paddy)\"}]",
550
\"field2\": \"images\", \"field3\": \"masks (masks_paddy)\"}]",
            
551
  "annotationinfos2": "[{\"field1\": \"RGB\\u5f71\\u50cf\", 
551
  "annotationinfos2": "[{\"field1\": \"RGB\\u5f71\\u50cf\", 
            
552
\"field2\": \"\", \"field3\": \"sample_img.png\"}, {\"field1\": 
552
\"field2\": \"\", \"field3\": \"sample_img.png\"}, {\"field1\": 
            
553
\"\\u6a19\\u8a3b\\u906e\\u7f69 (\\u5f69\\u8272\\u586b\\u5145)\", 
553
\"\\u6a19\\u8a3b\\u906e\\u7f69 (\\u5f69\\u8272\\u586b\\u5145)\", 
            
554
\"field2\": \"\", \"field3\": \"sample_annotation.png\"}]",
554
\"field2\": \"\", \"field3\": \"sample_annotation.png\"}]",
            
555
  "author": "\u66fe\u4fe1\u9d3b",
555
  "author": "\u66fe\u4fe1\u9d3b",
            
556
  "author_email": "cloudtseng@aipal.dev",
556
  "author_email": "cloudtseng@aipal.dev",
            
557
  "caseinfos": "[{\"title\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", 
557
  "caseinfos": "[{\"title\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", 
            
558
\"name\": \"images\", \"format\": \"\\u6578\\u503c\\u9663\\u5217 
558
\"name\": \"images\", \"format\": \"\\u6578\\u503c\\u9663\\u5217 
            
559
(Uint8 Array)\", \"example\": \"[512, 512, 3]\", \"note\": 
559
(Uint8 Array)\", \"example\": \"[512, 512, 3]\", \"note\": 
            
560
\"\\u53ef\\u898b\\u5149 RGB 
560
\"\\u53ef\\u898b\\u5149 RGB 
            
561
\\u9053\\u5f71\\u50cf\\u77e9\\u9663\\uff08\\u6578\\u503c\\u7bc4\\u570d 
561
\\u9053\\u5f71\\u50cf\\u77e9\\u9663\\uff08\\u6578\\u503c\\u7bc4\\u570d 
            
562
0~255\\uff09\"}, {\"title\": \"\\u6a19\\u8a3b\\u906e\\u7f69\", 
562
0~255\\uff09\"}, {\"title\": \"\\u6a19\\u8a3b\\u906e\\u7f69\", 
            
563
\"name\": \"masks\", \"format\": \"\\u6578\\u503c\\u9663\\u5217 (Uint8 
563
\"name\": \"masks\", \"format\": \"\\u6578\\u503c\\u9663\\u5217 (Uint8 
            
564
Array)\", \"example\": \"[512, 512]\", \"note\": 
564
Array)\", \"example\": \"[512, 512]\", \"note\": 
            
565
\\u6a19\\u8a3b\\u985e\\u5225\\u7d22\\u5f15\\uff08\\u503c\\u57df\\u70ba 
565
\\u6a19\\u8a3b\\u985e\\u5225\\u7d22\\u5f15\\uff08\\u503c\\u57df\\u70ba 
            
566
0~4 \\u6216 255\\uff09\"}, {\"title\": \"\\u6a19\\u8a3b\\u906e\\u7f69 
566
0~4 \\u6216 255\\uff09\"}, {\"title\": \"\\u6a19\\u8a3b\\u906e\\u7f69 
            
567
(MTL)\", \"name\": \"masks_paddy\", \"format\": 
567
(MTL)\", \"name\": \"masks_paddy\", \"format\": 
            
568
\"\\u6578\\u503c\\u9663\\u5217 (Uint8 Array)\", \"example\": \"[512, 
568
\"\\u6578\\u503c\\u9663\\u5217 (Uint8 Array)\", \"example\": \"[512, 
            
569
512]\", \"note\": 
569
512]\", \"note\": 
            
570
\\u6a19\\u8a3b\\u985e\\u5225\\u7d22\\u5f15\\uff08\\u503c\\u57df\\u70ba 
570
\\u6a19\\u8a3b\\u985e\\u5225\\u7d22\\u5f15\\uff08\\u503c\\u57df\\u70ba 
            
571
0,1 \\u6216 255\\uff09\"}]",
571
0,1 \\u6216 255\\uff09\"}]",
            
572
  "coauthors": "[{\"user_id\": \"\", \"name\": 
572
  "coauthors": "[{\"user_id\": \"\", \"name\": 
            
573
\"\\u694a\\u660e\\u5fb7\", \"email\": \"mdyang@nchu.edu.tw\", 
573
\"\\u694a\\u660e\\u5fb7\", \"email\": \"mdyang@nchu.edu.tw\", 
            
n
574
\"authorize\": \"2026-10-23 10:32 \\u540c\\u610f\"}]",
n
574
\"authorize\": \"2026-10-23 18:32 \\u540c\\u610f\"}]",
            
575
  "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2",
575
  "creator_user_id": "7e2a89ef-2875-481a-9838-772a8c7c69c2",
            
576
  "deidinfos": "[]",
576
  "deidinfos": "[]",
            
577
  "fairfiles": "[{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01M\", 
577
  "fairfiles": "[{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01M\", 
            
578
\"eval\": 
578
\"eval\": 
            
579
7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", 
579
7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", 
            
580
\"eval_desc\": 
580
\"eval_desc\": 
            
581
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
581
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
582
\"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ 
582
\"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ 
            
583
\\u4ef6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", 
583
\\u4ef6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", 
            
584
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
584
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
585
\\u6838\\u767c\\u4e4b\\u56fa\\u5b9a\\u8cc7\\u6599\\u96c6\\u7de8\\u865f 
585
\\u6838\\u767c\\u4e4b\\u56fa\\u5b9a\\u8cc7\\u6599\\u96c6\\u7de8\\u865f 
            
586
_0_rpad_20260930_agri_sm2019\\uff08\\u7cfb\\u7d71\\u8b58\\u5225\\u78bc 
586
_0_rpad_20260930_agri_sm2019\\uff08\\u7cfb\\u7d71\\u8b58\\u5225\\u78bc 
            
587
\\uff0c\\u8aaa\\u660e\\u9801\\u9762\\u7db2\\u5740\\u56fa\\u5b9a\\u70ba 
587
\\uff0c\\u8aaa\\u660e\\u9801\\u9762\\u7db2\\u5740\\u56fa\\u5b9a\\u70ba 
            
588
arter/dataset/smarter_07_rld001_0_rpad_20260930_agri_sm2019\\u3002\"}, 
588
arter/dataset/smarter_07_rld001_0_rpad_20260930_agri_sm2019\\u3002\"}, 
            
589
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01M\", \"eval\": 
589
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01M\", \"eval\": 
            
590
5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", 
590
5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", 
            
591
\"eval_desc\": 
591
\"eval_desc\": 
            
592
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
592
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
593
\"eval_prompt\": 
593
\"eval_prompt\": 
            
594
\u8868\\u5df2\\u6536\\u9304\\u5728\\u8a3b\\u518a\\u8868\\u4e2d(\\u5982 
594
\u8868\\u5df2\\u6536\\u9304\\u5728\\u8a3b\\u518a\\u8868\\u4e2d(\\u5982 
            
595
FAIRsharing \\u6240\\u958b\\u767c\\u7684)\\u3002\", \"answer\": 
595
FAIRsharing \\u6240\\u958b\\u767c\\u7684)\\u3002\", \"answer\": 
            
596
\"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
596
\"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
597
\"\\u8a6e\\u91cb\\u8cc7\\u6599\\u4ee5\\u5e73\\u53f0 CKAN 
597
\"\\u8a6e\\u91cb\\u8cc7\\u6599\\u4ee5\\u5e73\\u53f0 CKAN 
            
598
\\u3001\\u6a19\\u7c64\\u7b49\\u6b04\\u4f4d\\uff09\\uff0c\\u53ef\\u7d93 
598
\\u3001\\u6a19\\u7c64\\u7b49\\u6b04\\u4f4d\\uff09\\uff0c\\u53ef\\u7d93 
            
599
API \\u4ee5 JSON 
599
API \\u4ee5 JSON 
            
600
\\u5b57\\u8207\\u6a19\\u8a3b\\u985e\\u5225\\u53e6\\u5c0d\\u61c9\\u81f3 
600
\\u5b57\\u8207\\u6a19\\u8a3b\\u985e\\u5225\\u53e6\\u5c0d\\u61c9\\u81f3 
            
601
FAO AGROVOC 
601
FAO AGROVOC 
            
602
\\u969b\\u6a19\\u6e96\\u8fb2\\u696d\\u8a5e\\u5f59\\u8868\\uff08\\u898b 
602
\\u969b\\u6a19\\u6e96\\u8fb2\\u696d\\u8a5e\\u5f59\\u8868\\uff08\\u898b 
            
603
Datacard\\u300c\\u8a9e\\u5f59\\u5c0d\\u61c9\\u300d\\uff09\\u3002\"}, 
603
Datacard\\u300c\\u8a9e\\u5f59\\u5c0d\\u61c9\\u300d\\uff09\\u3002\"}, 
            
604
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1-01M\", \"eval\": 
604
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1-01M\", \"eval\": 
            
605
76f8\\u95dc\\u7684\\u5c6c\\u6027\\u4ee5\\u4fbf\\u518d\\u5229\\u7528\", 
605
76f8\\u95dc\\u7684\\u5c6c\\u6027\\u4ee5\\u4fbf\\u518d\\u5229\\u7528\", 
            
606
\"eval_desc\": 
606
\"eval_desc\": 
            
607
5229\\u7528\\u7684\\u6388\\u6b0a\\u5408\\u7d04\\u4e4b\\u8cc7\\u8a0a\", 
607
5229\\u7528\\u7684\\u6388\\u6b0a\\u5408\\u7d04\\u4e4b\\u8cc7\\u8a0a\", 
            
608
\"eval_prompt\": \"\\u4f8b\\u5982: 
608
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
609
660e\\u662f\\u8db3\\u5920\\u5145\\u5206\\u8207\\u6e96\\u78ba\\u3002\", 
609
660e\\u662f\\u8db3\\u5920\\u5145\\u5206\\u8207\\u6e96\\u78ba\\u3002\", 
            
610
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"Datacard 
610
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"Datacard 
            
611
027\\uff0c\\u8db3\\u4ee5\\u652f\\u63f4\\u518d\\u5229\\u7528\\u3002\"}, 
611
027\\uff0c\\u8db3\\u4ee5\\u652f\\u63f4\\u518d\\u5229\\u7528\\u3002\"}, 
            
612
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1-01M\", \"eval\": 
612
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1-01M\", \"eval\": 
            
613
8005\\u80fd\\u5920\\u53d6\\u7528\\u8cc7\\u6599\\u7684\\u8cc7\\u8a0a\", 
613
8005\\u80fd\\u5920\\u53d6\\u7528\\u8cc7\\u6599\\u7684\\u8cc7\\u8a0a\", 
            
614
\"eval_desc\": 
614
\"eval_desc\": 
            
615
6599\\u8aaa\\u660e\\u958b\\u653e\\u6216\\u9650\\u5236\\u53d6\\u7528\", 
615
6599\\u8aaa\\u660e\\u958b\\u653e\\u6216\\u9650\\u5236\\u53d6\\u7528\", 
            
616
\"eval_prompt\": \"\\u4f8b\\u5982: 
616
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
617
ab\\u4efd\\u9a57\\u8b49/\\u6388\\u6b0a\\u4e4b\\u8aaa\\u660e)\\u3002\", 
617
ab\\u4efd\\u9a57\\u8b49/\\u6388\\u6b0a\\u4e4b\\u8aaa\\u660e)\\u3002\", 
            
618
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
618
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
619
u5f8c\\u4e0b\\u8f09\\uff09\\u3001\\u6388\\u6b0a\\u689d\\u6b3e\\uff08CC 
619
u5f8c\\u4e0b\\u8f09\\uff09\\u3001\\u6388\\u6b0a\\u689d\\u6b3e\\uff08CC 
            
620
BY 4.0\\uff09\\u53ca API \\u53d6\\u7528\\u65b9\\u5f0f\\u3002\"}, 
620
BY 4.0\\uff09\\u53ca API \\u53d6\\u7528\\u65b9\\u5f0f\\u3002\"}, 
            
621
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01D\", \"eval\": 
621
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-01D\", \"eval\": 
            
622
5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", 
622
5316\\u683c\\u5f0f\\u8868\\u793a\\u7684\\u77e5\\u8b58\\u8868\\u9054\", 
            
623
\"eval_desc\": 
623
\"eval_desc\": 
            
624
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
624
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
625
\"eval_prompt\": 
625
\"eval_prompt\": 
            
626
\u6e96\\u5df2\\u6536\\u9304\\u5728\\u8a3b\\u518a\\u8868\\u4e2d(\\u5982 
626
\u6e96\\u5df2\\u6536\\u9304\\u5728\\u8a3b\\u518a\\u8868\\u4e2d(\\u5982 
            
627
FAIRsharing \\u6240\\u958b\\u767c\\u7684)\\u3002\", \"answer\": 
627
FAIRsharing \\u6240\\u958b\\u767c\\u7684)\\u3002\", \"answer\": 
            
628
\"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"\\u8cc7\\u6599\\u63a1 
628
\"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"\\u8cc7\\u6599\\u63a1 
            
629
HDF5 \\u958b\\u653e\\u6a19\\u6e96\\u683c\\u5f0f\\uff08The HDF Group 
629
HDF5 \\u958b\\u653e\\u6a19\\u6e96\\u683c\\u5f0f\\uff08The HDF Group 
            
630
\\u5b78\\u8cc7\\u6599\\u683c\\u5f0f\\uff09\\uff0c\\u5f71\\u50cf\\u70ba 
630
\\u5b78\\u8cc7\\u6599\\u683c\\u5f0f\\uff09\\uff0c\\u5f71\\u50cf\\u70ba 
            
631
uint8 RGB 
631
uint8 RGB 
            
632
\\u5f15\\u9663\\u5217\\uff1b\\u8cc7\\u6599\\u6a21\\u578b\\uff08dataset 
632
\\u5f15\\u9663\\u5217\\uff1b\\u8cc7\\u6599\\u6a21\\u578b\\uff08dataset 
            
633
\\u5225\\u3001\\u5c6c\\u6027\\uff09\\u5b8c\\u6574\\u8a18\\u8f09\\u65bc 
633
\\u5225\\u3001\\u5c6c\\u6027\\uff09\\u5b8c\\u6574\\u8a18\\u8f09\\u65bc 
            
634
Datacard\\u300cHDF5 \\u5167\\u90e8\\u7d50\\u69cb\\u300d\\u3002\"}, 
634
Datacard\\u300cHDF5 \\u5167\\u90e8\\u7d50\\u69cb\\u300d\\u3002\"}, 
            
635
{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01D\", \"eval\": 
635
{\"cat\": \"Findable\", \"serial\": \"RDA-F1-01D\", \"eval\": 
            
636
7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", 
636
7531\\u6301\\u4e45\\u6027\\u8b58\\u5225\\u7b26\\u6240\\u6a19\\u8b58\", 
            
637
\"eval_desc\": 
637
\"eval_desc\": 
            
638
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
638
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
639
\"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ 
639
\"eval_prompt\": \"\\u4f8b\\u5982: \\u5df2\\u5728http://purl.org/ 
            
640
\\u96c6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", 
640
\\u96c6\\u767b\\u8a18\\u4e00\\u500bPURL\\u8b58\\u5225\\u7b26\\u3002\", 
            
641
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"4 \\u500b 
641
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"4 \\u500b 
            
642
HDF5 \\u8cc7\\u6599\\u6a94\\u53ca LICENSE\\u3001CITATION.cff 
642
HDF5 \\u8cc7\\u6599\\u6a94\\u53ca LICENSE\\u3001CITATION.cff 
            
643
\\u5f62\\u5f0f\\u639b\\u8f09\\u65bc\\u8cc7\\u6599\\u96c6\\u7de8\\u865f 
643
\\u5f62\\u5f0f\\u639b\\u8f09\\u65bc\\u8cc7\\u6599\\u96c6\\u7de8\\u865f 
            
644
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
644
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
            
645
225\\u78bc\\u8207\\u56fa\\u5b9a\\u4e0b\\u8f09\\u7db2\\u5740\\u3002\"}, 
645
225\\u78bc\\u8207\\u56fa\\u5b9a\\u4e0b\\u8f09\\u7db2\\u5740\\u3002\"}, 
            
646
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1-02M\", \"eval\": 
646
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1-02M\", \"eval\": 
            
647
\\u53ef\\u4ee5\\u4eba\\u5de5\\u53d6\\u7528\\u8a6e\\u91cb\\u8cc7\\u6599 
647
\\u53ef\\u4ee5\\u4eba\\u5de5\\u53d6\\u7528\\u8a6e\\u91cb\\u8cc7\\u6599 
            
648
(\\u5373\\u4eba\\u5de5\\u5e72\\u9810)\", \"eval_desc\": 
648
(\\u5373\\u4eba\\u5de5\\u5e72\\u9810)\", \"eval_desc\": 
            
649
8eab\\u4efd\\u9a57\\u8b49\\u3001\\u6388\\u6b0a\\u4e4b\\u8aaa\\u660e\", 
649
8eab\\u4efd\\u9a57\\u8b49\\u3001\\u6388\\u6b0a\\u4e4b\\u8aaa\\u660e\", 
            
650
\"eval_prompt\": \"\\u4f8b\\u5982: 
650
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
651
9700\\u984d\\u5916\\u4eba\\u5de5\\u806f\\u7d61\\u7533\\u8acb\\u3002\", 
651
9700\\u984d\\u5916\\u4eba\\u5de5\\u806f\\u7d61\\u7533\\u8acb\\u3002\", 
            
652
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
652
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
653
\\u6599\\uff08\\u8cc7\\u6599\\u96c6\\u8aaa\\u660e\\u9801\\u9762\\u8207 
653
\\u6599\\uff08\\u8cc7\\u6599\\u96c6\\u8aaa\\u660e\\u9801\\u9762\\u8207 
            
654
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654
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678
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681
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684
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\"\\u8cc7\\u6599\\u96c6\\u7de8\\u865f 
            
686
smarter_07_rld001_0_rpad_20260930_agri_sm2019 \\u8207\\u7cfb\\u7d71 
686
smarter_07_rld001_0_rpad_20260930_agri_sm2019 \\u8207\\u7cfb\\u7d71 
            
687
UUID 
687
UUID 
            
688
\\u6210\\u5168\\u7403\\u552f\\u4e00\\u4e4b\\u8b58\\u5225\\u7db2\\u5740 
688
\\u6210\\u5168\\u7403\\u552f\\u4e00\\u4e4b\\u8b58\\u5225\\u7db2\\u5740 
            
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689
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{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-02M\", \"eval\": 
690
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699
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SPDX 
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SPDX 
            
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u5225\\u78bc\\uff08CC-BY-4.0\\uff09\\u8868\\u793a\\uff1b\\u96a8\\u9644 
            
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CITATION.cff\\uff08Citation File 
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SKOS\\uff0fRDF \\u63cf\\u8ff0\\u3002\"}, {\"cat\": \"Reusable\", 
705
SKOS\\uff0fRDF \\u63cf\\u8ff0\\u3002\"}, {\"cat\": \"Reusable\", 
            
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718
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722
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725
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726
UUID 
726
UUID 
            
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727
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728
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728
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1-03M\", \"eval\": 
            
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729
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732
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734
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
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\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
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\"\\u8cc7\\u6599\\u96c6\\u8b58\\u5225\\u7b26 
735
\"\\u8cc7\\u6599\\u96c6\\u8b58\\u5225\\u7b26 
            
736
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
736
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
            
737
\\u53ef\\u7d93\\u7531\\u7db2\\u5740 
737
\\u53ef\\u7d93\\u7531\\u7db2\\u5740 
            
738
u.edu.tw/smarter/dataset/smarter_07_rld001_0_rpad_20260930_agri_sm2019 
738
u.edu.tw/smarter/dataset/smarter_07_rld001_0_rpad_20260930_agri_sm2019 
            
739
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739
790\\u81f3\\u8cc7\\u6599\\u96c6\\u8aaa\\u660e\\u9801\\u9762\\u3002\"}, 
            
740
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-02D\", \"eval\": 
740
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I1-02D\", \"eval\": 
            
741
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741
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742
\"eval_desc\": 
742
\"eval_desc\": 
            
743
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743
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
744
\"eval_prompt\": 
744
\"eval_prompt\": 
            
745
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745
u96c6\\u4ee5RDF\\u6216OWL\\u683c\\u5f0f\\u4f86\\u8868\\u9054\\u3002\", 
            
746
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"HDF5 
746
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"HDF5 
            
747
\\u70ba\\u81ea\\u6211\\u63cf\\u8ff0\\u683c\\u5f0f\\uff0cdataset 
747
\\u70ba\\u81ea\\u6211\\u63cf\\u8ff0\\u683c\\u5f0f\\uff0cdataset 
            
748
ses\\u3001ignore_label\\u3001mask_value_range\\u3001paddy_mask_mapping 
748
ses\\u3001ignore_label\\u3001mask_value_range\\u3001paddy_mask_mapping 
            
749
\\u7b49\\uff09\\u53ef\\u7531 HDF5\\uff0fh5py 
749
\\u7b49\\uff09\\u53ef\\u7531 HDF5\\uff0fh5py 
            
750
9e3\\u6790\\uff0c\\u7121\\u9700\\u4eba\\u5de5\\u5224\\u8b80\\u3002\"}, 
750
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751
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1.1-03M\", \"eval\": 
751
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1.1-03M\", \"eval\": 
            
752
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752
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753
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753
\"eval_desc\": 
            
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754
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755
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
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388\\u6b0a\\u689d\\u4ef6\\u4e4b\\u8868\\u9054\\u5f0f(\\u5982\\uff1aRDF 
756
388\\u6b0a\\u689d\\u4ef6\\u4e4b\\u8868\\u9054\\u5f0f(\\u5982\\uff1aRDF 
            
757
expression of Creative Commons licences\\u6216\\u662f Open Data Rights 
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Language (ODRL))\\u3002\", \"answer\": 
758
Language (ODRL))\\u3002\", \"answer\": 
            
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759
\"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"Datacard \\u63d0\\u4f9b 
            
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CC BY 4.0 
760
CC BY 4.0 
            
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\\u6a5f\\u5668\\u53ef\\u8b80\\u6388\\u6b0a\\u689d\\u4ef6\\u9023\\u7d50 
761
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https://creativecommons.org/licenses/by/4.0/rdf\\uff08CC 
762
https://creativecommons.org/licenses/by/4.0/rdf\\uff08CC 
            
763
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permits\\u3001requires 
764
permits\\u3001requires 
            
765
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765
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767
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768
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768
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770
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DCAT 
            
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803
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804
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805
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806
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807
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809
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811
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812
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812
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813
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813
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816
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818
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820
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825
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\"Findable\", \"serial\": \"RDA-F3-01M\", \"eval\": 
826
\"Findable\", \"serial\": \"RDA-F3-01M\", \"eval\": 
            
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830
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CITATION.cff 
834
CITATION.cff 
            
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835
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836
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
836
smarter_07_rld001_0_rpad_20260930_agri_sm2019 
            
837
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837
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838
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\"\\u8cc7\\u6599\\u4f7f\\u7528\\u7b26\\u5408 FAIR 
            
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840
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842
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845
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845
\"\\u6a19\\u8a3b\\u985e\\u5225\\u5df2\\u5c0d\\u61c9\\u81f3 AGROVOC 
            
846
\\u6982\\u5ff5 
846
\\u6982\\u5ff5 
            
847
URI\\uff08\\u6b63\\u5e38\\u6c34\\u7a3b\\u2192\\u7a3b\\u7530 
847
URI\\uff08\\u6b63\\u5e38\\u6c34\\u7a3b\\u2192\\u7a3b\\u7530 
            
848
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848
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849
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850
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851
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851
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1.2-02M\", \"eval\": 
            
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855
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856
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857
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860
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860
Datacard\\uff0c\\u5c1a\\u672a\\u4ee5 PROV-O 
            
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861
\\u8a00\\u8868\\u9054\\uff1b\\u5e73\\u53f0\\u4ea6\\u672a\\u63d0\\u4f9b 
            
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862
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863
\"Interoperable\", \"serial\": \"RDA-I3-01M\", \"eval\": 
863
\"Interoperable\", \"serial\": \"RDA-I3-01M\", \"eval\": 
            
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864
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865
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865
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866
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867
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867
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868
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868
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869
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869
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870
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870
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871
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871
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872
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872
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873
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873
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874
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874
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875
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875
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876
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876
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877
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877
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878
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878
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879
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879
\\uff1b\\u8a6e\\u91cb\\u8cc7\\u6599\\u4ea6\\u53ef\\u7d93\\u5e73\\u53f0 
            
880
CKAN 
880
CKAN 
            
881
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881
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882
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882
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883
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883
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884
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884
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885
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885
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886
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886
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887
\"\\u4f8b\\u5982\\uff1a\\u53d6\\u7528\\u5354\\u5b9a\\u662f HTTP 
887
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888
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888
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889
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889
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890
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891
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891
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892
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892
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893
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893
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894
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894
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895
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895
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896
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896
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897
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897
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Datacard 
900
Datacard 
            
901
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901
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903
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904
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904
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905
DCAT \\u7b49\\u5df2\\u767b\\u9304\\u65bc FAIRsharing 
905
DCAT \\u7b49\\u5df2\\u767b\\u9304\\u65bc FAIRsharing 
            
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906
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907
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907
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908
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910
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912
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913
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913
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914
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914
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915
filenames 
915
filenames 
            
916
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916
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917
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924
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924
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925
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926
HDF5 
926
HDF5 
            
927
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928
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928
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929
VOC 
929
VOC 
            
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930
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931
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932
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937
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\"\\u5e73\\u53f0\\u63d0\\u4f9b CKAN 2.9 Action 
            
939
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939
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940
package_show\\u3001resource_show 
940
package_show\\u3001resource_show 
            
941
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941
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942
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942
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943
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943
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944
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945
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945
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948
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951
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951
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952
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952
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953
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954
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955
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956
\"eval_prompt\": 
956
\"eval_prompt\": 
            
957
\"\\u4f8b\\u5982\\uff1a\\u53d6\\u7528\\u5354\\u5b9a\\u662f HTTP 
957
\"\\u4f8b\\u5982\\uff1a\\u53d6\\u7528\\u5354\\u5b9a\\u662f HTTP 
            
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958
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959
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959
\"note\": 
            
960
\\u8cc7\\u6599\\u7d93\\u7531\\u514d\\u8cbb\\u3001\\u958b\\u653e\\u4e4b 
960
\\u8cc7\\u6599\\u7d93\\u7531\\u514d\\u8cbb\\u3001\\u958b\\u653e\\u4e4b 
            
961
HTTPS 
961
HTTPS 
            
962
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962
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963
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1.3-02M\", \"eval\": 
963
{\"cat\": \"Reusable\", \"serial\": \"RDA-R1.3-02M\", \"eval\": 
            
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965
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965
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966
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967
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969
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970
\\u4f9d Citation File Format 1.2.0 
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\\u4f9d Citation File Format 1.2.0 
            
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971
\\u5beb\\uff0c\\u5e73\\u53f0\\u8a6e\\u91cb\\u8cc7\\u6599\\u53ef\\u7d93 
            
972
CKAN API \\u4ee5 JSON 
972
CKAN API \\u4ee5 JSON 
            
973
\\u8868\\u9054\\u5f0f\\u4e4b\\u793e\\u7fa4\\u6a19\\u6e96\\uff08\\u5982 
973
\\u8868\\u9054\\u5f0f\\u4e4b\\u793e\\u7fa4\\u6a19\\u6e96\\uff08\\u5982 
            
974
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974
DCAT\\uff0fRDF\\uff09\\u8f38\\u51fa\\u3002\"}, {\"cat\": 
            
975
\"Accessible\", \"serial\": \"RDA-A1.1-01D\", \"eval\": 
975
\"Accessible\", \"serial\": \"RDA-A1.1-01D\", \"eval\": 
            
976
7d93\\u7531\\u514d\\u8cbb\\u53d6\\u7528\\u5354\\u5b9a\\u53d6\\u7528\", 
976
7d93\\u7531\\u514d\\u8cbb\\u53d6\\u7528\\u5354\\u5b9a\\u53d6\\u7528\", 
            
977
\"eval_desc\": 
977
\"eval_desc\": 
            
978
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
978
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
979
\"eval_prompt\": 
979
\"eval_prompt\": 
            
980
\"\\u4f8b\\u5982\\uff1a\\u53d6\\u7528\\u5354\\u5b9a\\u662f HTTP 
980
\"\\u4f8b\\u5982\\uff1a\\u53d6\\u7528\\u5354\\u5b9a\\u662f HTTP 
            
981
\\u6216FTP\\u3002\", \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", 
981
\\u6216FTP\\u3002\", \"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", 
            
982
\"note\": 
982
\"note\": 
            
983
\\u6599\\u6a94\\u7d93\\u7531\\u514d\\u8cbb\\u3001\\u958b\\u653e\\u4e4b 
983
\\u6599\\u6a94\\u7d93\\u7531\\u514d\\u8cbb\\u3001\\u958b\\u653e\\u4e4b 
            
984
HTTPS \\u5354\\u5b9a\\u4e0b\\u8f09\\uff1bHDF5 
984
HTTPS \\u5354\\u5b9a\\u4e0b\\u8f09\\uff1bHDF5 
            
985
0b\\u5f0f\\u5eab\\uff08HDF5\\u3001h5py\\uff09\\u8b80\\u53d6\\u3002\"}, 
985
0b\\u5f0f\\u5eab\\uff08HDF5\\u3001h5py\\uff09\\u8b80\\u53d6\\u3002\"}, 
            
986
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-02D\", \"eval\": 
986
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-02D\", \"eval\": 
            
987
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
987
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
988
\"eval_desc\": 
988
\"eval_desc\": 
            
989
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
989
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
990
\"eval_prompt\": \"\\u4f8b\\u5982: 
990
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
991
\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\\u4f8b\\u5982: 
991
\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\\u4f8b\\u5982: 
            
992
5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\\u3002\", 
992
5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\\u3002\", 
            
993
\"answer\": \"\\u5be6\\u65bd\\u968e\\u6bb5\", \"note\": 
993
\"answer\": \"\\u5be6\\u65bd\\u968e\\u6bb5\", \"note\": 
            
994
\"\\u8cc7\\u6599\\u6a94\\u5167 filenames 
994
\"\\u8cc7\\u6599\\u6a94\\u5167 filenames 
            
995
\\u5c0d\\u61c9\\u81f3\\u4f86\\u6e90\\u5340\\u584a\\uff0c\\u4e26\\u65bc 
995
\\u5c0d\\u61c9\\u81f3\\u4f86\\u6e90\\u5340\\u584a\\uff0c\\u4e26\\u65bc 
            
996
Datacard \\u8aaa\\u660e\\u300c\\u884d\\u751f\\u81ea\\u300d2019-05-31 
996
Datacard \\u8aaa\\u660e\\u300c\\u884d\\u751f\\u81ea\\u300d2019-05-31 
            
997
\\u672a\\u4ee5\\u9650\\u5b9a\\u5f15\\u7528\\u5f62\\u5f0f\\u5beb\\u5165 
997
\\u672a\\u4ee5\\u9650\\u5b9a\\u5f15\\u7528\\u5f62\\u5f0f\\u5beb\\u5165 
            
998
HDF5 \\u5c6c\\u6027\\u4e2d\\u3002\"}, {\"cat\": \"Reusable\", 
998
HDF5 \\u5c6c\\u6027\\u4e2d\\u3002\"}, {\"cat\": \"Reusable\", 
            
999
\"serial\": \"RDA-R1.3-02D\", \"eval\": 
999
\"serial\": \"RDA-R1.3-02D\", \"eval\": 
            
1000
7406\\u89e3\\u7684\\u793e\\u7fa4\\u6a19\\u6e96\\u4f86\\u8868\\u793a\", 
1000
7406\\u89e3\\u7684\\u793e\\u7fa4\\u6a19\\u6e96\\u4f86\\u8868\\u793a\", 
            
1001
\"eval_desc\": 
1001
\"eval_desc\": 
            
1002
5\\u8981\\u6c42\\u5247\\u52fe\\u9078[\\u5c1a\\u672a\\u8003\\u616e])\", 
1002
5\\u8981\\u6c42\\u5247\\u52fe\\u9078[\\u5c1a\\u672a\\u8003\\u616e])\", 
            
1003
\"eval_prompt\": \"\\u4f8b\\u5982: 
1003
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
1004
6a5f\\u5668\\u53ef\\u7406\\u89e3\\u7684\\u8868\\u9054\\u5f0f\\u3002\", 
1004
6a5f\\u5668\\u53ef\\u7406\\u89e3\\u7684\\u8868\\u9054\\u5f0f\\u3002\", 
            
1005
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"HDF5 
1005
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"HDF5 
            
1006
\\u6211\\u63cf\\u8ff0\\u7d50\\u69cb\\uff08\\u968e\\u5c64\\u3001dataset 
1006
\\u6211\\u63cf\\u8ff0\\u7d50\\u69cb\\uff08\\u968e\\u5c64\\u3001dataset 
            
1007
\\u3001\\u5f62\\u72c0\\u8207\\u5c6c\\u6027\\uff09\\uff0c\\u53ef\\u7531 
1007
\\u3001\\u5f62\\u72c0\\u8207\\u5c6c\\u6027\\uff09\\uff0c\\u53ef\\u7531 
            
1008
HDF5 \\u5b98\\u65b9\\u7a0b\\u5f0f\\u5eab\\u53ca h5py\\u3001PyTorch 
1008
HDF5 \\u5b98\\u65b9\\u7a0b\\u5f0f\\u5eab\\u53ca h5py\\u3001PyTorch 
            
1009
de5\\u5177\\u76f4\\u63a5\\u4ee5\\u7a0b\\u5f0f\\u8b80\\u53d6\\u3002\"}, 
1009
de5\\u5177\\u76f4\\u63a5\\u4ee5\\u7a0b\\u5f0f\\u8b80\\u53d6\\u3002\"}, 
            
1010
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-03M\", \"eval\": 
1010
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-03M\", \"eval\": 
            
1011
4ed6\\u8a6e\\u91cb\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
1011
4ed6\\u8a6e\\u91cb\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
1012
\"eval_desc\": 
1012
\"eval_desc\": 
            
1013
4ed6\\u8a6e\\u91cb\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
1013
4ed6\\u8a6e\\u91cb\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
1014
\"eval_prompt\": \"\\u4f8b\\u5982: 
1014
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
1015
7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", 
1015
7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", 
            
1016
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
1016
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
1017
\\u7a76\\u5718\\u968a\\u65bc\\u540c\\u5e73\\u53f0\\u4e4b\\u6c34\\u7a3b 
1017
\\u7a76\\u5718\\u968a\\u65bc\\u540c\\u5e73\\u53f0\\u4e4b\\u6c34\\u7a3b 
            
1018
UAV 
1018
UAV 
            
1019
077\\u79fb\\u5b78\\u7fd2\\u4e4b\\u5ef6\\u4f38\\u8cc7\\u6599\\u3002\"}, 
1019
077\\u79fb\\u5b78\\u7fd2\\u4e4b\\u5ef6\\u4f38\\u8cc7\\u6599\\u3002\"}, 
            
1020
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1.2-01D\", \"eval\": 
1020
{\"cat\": \"Accessible\", \"serial\": \"RDA-A1.2-01D\", \"eval\": 
            
1021
8b49\\u548c\\u6388\\u6b0a\\u53d6\\u7528\\u5354\\u5b9a\\u53d6\\u7528\", 
1021
8b49\\u548c\\u6388\\u6b0a\\u53d6\\u7528\\u5354\\u5b9a\\u53d6\\u7528\", 
            
1022
\"eval_desc\": 
1022
\"eval_desc\": 
            
1023
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
1023
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
1024
\"eval_prompt\": 
1024
\"eval_prompt\": 
            
1025
96c6\\u524d\\u9700\\u8981\\u5148\\u767b\\u5165\\u5e33\\u865f\\u3002\", 
1025
96c6\\u524d\\u9700\\u8981\\u5148\\u767b\\u5165\\u5e33\\u865f\\u3002\", 
            
1026
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
1026
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
1027
\\u540c\\u610f\\u6388\\u6b0a\\u689d\\u6b3e\\uff0c\\u50b3\\u8f38\\u4ee5 
1027
\\u540c\\u610f\\u6388\\u6b0a\\u689d\\u6b3e\\uff0c\\u50b3\\u8f38\\u4ee5 
            
1028
HTTPS \\u52a0\\u5bc6\\uff1bAPI 
1028
HTTPS \\u52a0\\u5bc6\\uff1bAPI 
            
1029
\\u53d6\\u7528\\u4ee5\\u4f7f\\u7528\\u8005 API Token 
1029
\\u53d6\\u7528\\u4ee5\\u4f7f\\u7528\\u8005 API Token 
            
1030
\\u9a57\\u8b49\\u8eab\\u4efd\\u3002\"}, {\"cat\": \"Accessible\", 
1030
\\u9a57\\u8b49\\u8eab\\u4efd\\u3002\"}, {\"cat\": \"Accessible\", 
            
1031
\"serial\": \"RDA-A2-01M\", \"eval\": 
1031
\"serial\": \"RDA-A2-01M\", \"eval\": 
            
1032
6599\\u4e0d\\u518d\\u53ef\\u7528\\u5f8c\\u4ecd\\u7136\\u53ef\\u7528\", 
1032
6599\\u4e0d\\u518d\\u53ef\\u7528\\u5f8c\\u4ecd\\u7136\\u53ef\\u7528\", 
            
1033
\"eval_desc\": 
1033
\"eval_desc\": 
            
1034
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
1034
5e73\\u53f0\\u5f8c\\u5373\\u7b26\\u5408\\u6b64\\u9805\\u6e96\\u5247\", 
            
1035
\"eval_prompt\": 
1035
\"eval_prompt\": 
            
1036
8aaa\\u660e\\u7db2\\u9801\\u5c07\\u4ecd\\u7136\\u5b58\\u5728\\u3002\", 
1036
8aaa\\u660e\\u7db2\\u9801\\u5c07\\u4ecd\\u7136\\u5b58\\u5728\\u3002\", 
            
1037
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
1037
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": 
            
1038
207\\u8a6e\\u91cb\\u8cc7\\u6599\\u4ecd\\u53ef\\u67e5\\u8a62\\u3002\"}, 
1038
207\\u8a6e\\u91cb\\u8cc7\\u6599\\u4ecd\\u53ef\\u67e5\\u8a62\\u3002\"}, 
            
1039
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-04M\", \"eval\": 
1039
{\"cat\": \"Interoperable\", \"serial\": \"RDA-I3-04M\", \"eval\": 
            
1040
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
1040
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
1041
\"eval_desc\": 
1041
\"eval_desc\": 
            
1042
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
1042
5c0d\\u5176\\u4ed6\\u8cc7\\u6599\\u7684\\u9650\\u5b9a\\u5f15\\u7528\", 
            
1043
\"eval_prompt\": \"\\u4f8b\\u5982: 
1043
\"eval_prompt\": \"\\u4f8b\\u5982: 
            
1044
7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", 
1044
7528\\u548c\\u6b64\\u8cc7\\u6599\\u96c6\\u7684\\u95dc\\u4fc2\\u3002\", 
            
1045
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"Datacard 
1045
\"answer\": \"\\u5168\\u9762\\u5be6\\u65bd\", \"note\": \"Datacard 
            
1046
672c\\u8cc7\\u6599\\u96c6\\u300c\\u884d\\u751f\\u81ea\\u300d2019-05-31 
1046
672c\\u8cc7\\u6599\\u96c6\\u300c\\u884d\\u751f\\u81ea\\u300d2019-05-31 
            
1047
\\u9727\\u5cf0\\u6b63\\u5c04\\u5f71\\u50cf\\uff08\\u4ee5 101 \\u5e45 
1047
\\u9727\\u5cf0\\u6b63\\u5c04\\u5f71\\u50cf\\uff08\\u4ee5 101 \\u5e45 
            
1048
4096\\u00d74096 \\u5340\\u584a\\u88c1\\u5207\\uff09\\uff1bYang & 
1048
4096\\u00d74096 \\u5340\\u584a\\u88c1\\u5207\\uff09\\uff1bYang & 
            
1049
8\\u672c\\u8cc7\\u6599\\u96c6\\u300d\\u4e4b\\u6587\\u737b\\u3002\"}]",
1049
8\\u672c\\u8cc7\\u6599\\u96c6\\u300d\\u4e4b\\u6587\\u737b\\u3002\"}]",
            
1050
  "groups": [],
1050
  "groups": [],
            
1051
  "id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
1051
  "id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
1052
  "isopen": false,
1052
  "isopen": false,
            
1053
  "license_id": "",
1053
  "license_id": "",
            
1054
  "license_title": "",
1054
  "license_title": "",
            
1055
  "maintainer": "\u66fe\u4fe1\u9d3b",
1055
  "maintainer": "\u66fe\u4fe1\u9d3b",
            
1056
  "maintainer_email": "cloudtseng@aipal.dev",
1056
  "maintainer_email": "cloudtseng@aipal.dev",
            
1057
  "metadata_created": "2026-09-30T10:46:14.249718",
1057
  "metadata_created": "2026-09-30T10:46:14.249718",
            
n
1058
  "metadata_modified": "2026-10-22T14:58:16.024451",
n
1058
  "metadata_modified": "2026-10-22T14:58:36.819777",
            
1059
  "name": "smarter_07_rld001_0_rpad_20260930_agri_sm2019",
1059
  "name": "smarter_07_rld001_0_rpad_20260930_agri_sm2019",
            
1060
  "nchu_checkbox_dataset_annotation_method_3": "1",
1060
  "nchu_checkbox_dataset_annotation_method_3": "1",
            
1061
  "nchu_checkbox_dataset_remark_method_2": "1",
1061
  "nchu_checkbox_dataset_remark_method_2": "1",
            
1062
  "nchu_checkbox_dataset_remark_method_3": "1",
1062
  "nchu_checkbox_dataset_remark_method_3": "1",
            
1063
  "nchu_ddl_dataset_project": [
1063
  "nchu_ddl_dataset_project": [
            
1064
    "\u667a\u6167\u8fb2\u696d"
1064
    "\u667a\u6167\u8fb2\u696d"
            
1065
  ],
1065
  ],
            
1066
  "nchu_ddl_dataset_status": [
1066
  "nchu_ddl_dataset_status": [
            
1067
    "\u5df2\u5be9\u6838"
1067
    "\u5df2\u5be9\u6838"
            
1068
  ],
1068
  ],
            
1069
  "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']",
1069
  "nchu_ddl_dataset_status_ori": "['\u5f85\u5be9\u6838']",
            
1070
  "nchu_ddl_dataset_type": [
1070
  "nchu_ddl_dataset_type": [
            
1071
    "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b"
1071
    "\u9700\u540c\u610f\u6388\u6b0a_\u516c\u958b"
            
1072
  ],
1072
  ],
            
1073
  "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f",
1073
  "nchu_ddl_dataset_update_frequency": "\u5b9a\u671f",
            
1074
  "nchu_radio_dataset_annotation_progress": "1",
1074
  "nchu_radio_dataset_annotation_progress": "1",
            
1075
  "nchu_radio_dataset_connect_otherdb": "2",
1075
  "nchu_radio_dataset_connect_otherdb": "2",
            
1076
  "nchu_radio_dataset_deid_method": "1",
1076
  "nchu_radio_dataset_deid_method": "1",
            
1077
  "nchu_radio_dataset_is_aimodelset": "0",
1077
  "nchu_radio_dataset_is_aimodelset": "0",
            
1078
  "nchu_radio_dataset_legitimate_basis": "1",
1078
  "nchu_radio_dataset_legitimate_basis": "1",
            
1079
  "nchu_texarea_dataset_abstract": 
1079
  "nchu_texarea_dataset_abstract": 
            
1080
8a9e\u610f\u5206\u5272\u6a21\u578b\u6240\u5efa\u69cb\u3002\r\n\r\nThis 
1080
8a9e\u610f\u5206\u5272\u6a21\u578b\u6240\u5efa\u69cb\u3002\r\n\r\nThis 
            
1081
dataset contains tiles of high-resolution visible-light (RGB) 
1081
dataset contains tiles of high-resolution visible-light (RGB) 
            
1082
orthomosaic imagery captured by UAV over Wufeng District, Taichung, 
1082
orthomosaic imagery captured by UAV over Wufeng District, Taichung, 
            
1083
Taiwan, in 2019. It covers a large area of rice paddy fields and 
1083
Taiwan, in 2019. It covers a large area of rice paddy fields and 
            
1084
provides pixel-level ground truth labels for lodging rice, normal 
1084
provides pixel-level ground truth labels for lodging rice, normal 
            
1085
rice, road, arable land, and background. It was built for training and 
1085
rice, road, arable land, and background. It was built for training and 
            
1086
validating deep learning semantic segmentation models for agricultural 
1086
validating deep learning semantic segmentation models for agricultural 
            
1087
disaster assessment.",
1087
disaster assessment.",
            
1088
  "nchu_texarea_dataset_other": 
1088
  "nchu_texarea_dataset_other": 
            
1089
a\u53d7\u7ba1\u5236\u4e4b\u6838\u5fc3\u79d1\u6280\u3002\r\n\r\nPrivacy 
1089
a\u53d7\u7ba1\u5236\u4e4b\u6838\u5fc3\u79d1\u6280\u3002\r\n\r\nPrivacy 
            
1090
and Personal Data: This dataset captures and annotates farmland and 
1090
and Personal Data: This dataset captures and annotates farmland and 
            
1091
the lodging condition of crops. It does not set out to collect 
1091
the lodging condition of crops. It does not set out to collect 
            
1092
personal data. Any private or personal information captured 
1092
personal data. Any private or personal information captured 
            
1093
incidentally during the flights, such as vehicle license plates or 
1093
incidentally during the flights, such as vehicle license plates or 
            
1094
faces, has been de-identified by blurring.\r\n\r\nConfidentiality: All 
1094
faces, has been de-identified by blurring.\r\n\r\nConfidentiality: All 
            
1095
imagery was captured over ordinary agricultural production areas. 
1095
imagery was captured over ordinary agricultural production areas. 
            
1096
Neither the dataset nor the related AI technologies involve state 
1096
Neither the dataset nor the related AI technologies involve state 
            
1097
secrets, sensitive military zones, national security matters, or 
1097
secrets, sensitive military zones, national security matters, or 
            
1098
controlled core technologies.",
1098
controlled core technologies.",
            
1099
  "nchu_texarea_dataset_other_note1": 
1099
  "nchu_texarea_dataset_other_note1": 
            
1100
"0\uff1a\u80cc\u666f\uff08Background\uff09   
1100
"0\uff1a\u80cc\u666f\uff08Background\uff09   
            
1101
\r\n1\uff1a\u6b63\u5e38\u6c34\u7a3b\uff08Normal rice\uff09   
1101
\r\n1\uff1a\u6b63\u5e38\u6c34\u7a3b\uff08Normal rice\uff09   
            
1102
\r\n2\uff1a\u9053\u8def\uff08Road\uff09   
1102
\r\n2\uff1a\u9053\u8def\uff08Road\uff09   
            
1103
\r\n3\uff1a\u8015\u5730\uff08Arable land\uff09   
1103
\r\n3\uff1a\u8015\u5730\uff08Arable land\uff09   
            
1104
\r\n4\uff1a\u5012\u4f0f\u6c34\u7a3b\uff08Lodging rice\uff09   
1104
\r\n4\uff1a\u5012\u4f0f\u6c34\u7a3b\uff08Lodging rice\uff09   
            
1105
\r\n255\uff1a\u908a\u754c\u88dc\u96f6\u7121\u6548\u503c\uff08Ignore 
1105
\r\n255\uff1a\u908a\u754c\u88dc\u96f6\u7121\u6548\u503c\uff08Ignore 
            
1106
Index\uff09   ",
1106
Index\uff09   ",
            
1107
  "nchu_texarea_dataset_purpose": 
1107
  "nchu_texarea_dataset_purpose": 
            
1108
u91cf\u5316\u908a\u7de3\u6a21\u578b\u7814\u767c\u3002\r\n\r\nAssessing 
1108
u91cf\u5316\u908a\u7de3\u6a21\u578b\u7814\u767c\u3002\r\n\r\nAssessing 
            
1109
rice damage from natural disasters has traditionally relied on manual 
1109
rice damage from natural disasters has traditionally relied on manual 
            
1110
field surveys, which are slow and subjective. This dataset provides 
1110
field surveys, which are slow and subjective. This dataset provides 
            
1111
standardized, high-resolution UAV imagery with detailed pixel-level 
1111
standardized, high-resolution UAV imagery with detailed pixel-level 
            
1112
labels as a benchmark for rice lodging recognition algorithms. It aims 
1112
labels as a benchmark for rice lodging recognition algorithms. It aims 
            
1113
to support automated assessment of crop damage and the development of 
1113
to support automated assessment of crop damage and the development of 
            
1114
lightweight models for edge devices.",
1114
lightweight models for edge devices.",
            
1115
  "nchu_texarea_dataset_usage": 
1115
  "nchu_texarea_dataset_usage": 
            
1116
u7fd2\u4e4b\u9810\u8a13\u7df4\u57fa\u6e96\u4f86\u6e90\u3002\r\n\r\nThe 
1116
u7fd2\u4e4b\u9810\u8a13\u7df4\u57fa\u6e96\u4f86\u6e90\u3002\r\n\r\nThe 
            
1117
dataset is mainly used to train, validate, and benchmark semantic 
1117
dataset is mainly used to train, validate, and benchmark semantic 
            
1118
segmentation models for rice lodging. It is suited to developing rapid 
1118
segmentation models for rice lodging. It is suited to developing rapid 
            
1119
disaster-reporting systems for agricultural agencies and tools that 
1119
disaster-reporting systems for agricultural agencies and tools that 
            
1120
help verify agricultural insurance claims. It can also serve as a 
1120
help verify agricultural insurance claims. It can also serve as a 
            
1121
pre-training source for cross-year and multi-modal transfer 
1121
pre-training source for cross-year and multi-modal transfer 
            
1122
learning.",
1122
learning.",
            
1123
  "nchu_texarea_dataset_value": 
1123
  "nchu_texarea_dataset_value": 
            
1124
u8f14\u52a9\u7684\u91cd\u8981\u6578\u64da\u57fa\u77f3\u3002\r\n\r\nThe 
1124
u8f14\u52a9\u7684\u91cd\u8981\u6578\u64da\u57fa\u77f3\u3002\r\n\r\nThe 
            
1125
dataset offers centimeter-level spatial resolution and the complex 
1125
dataset offers centimeter-level spatial resolution and the complex 
            
1126
backgrounds of real field conditions, with objective and consistent 
1126
backgrounds of real field conditions, with objective and consistent 
            
1127
pixel-level ground truth for crop damage. It helps machine learning 
1127
pixel-level ground truth for crop damage. It helps machine learning 
            
1128
models recognize the fine textures of lodged crops more accurately. It 
1128
models recognize the fine textures of lodged crops more accurately. It 
            
1129
also provides a solid data foundation for deploying UAV edge-computing 
1129
also provides a solid data foundation for deploying UAV edge-computing 
            
1130
algorithms and for supporting fair damage assessment.",
1130
algorithms and for supporting fair damage assessment.",
            
1131
  "nchu_text_dataset_annotation_format": 
1131
  "nchu_text_dataset_annotation_format": 
            
1132
6a19\u7c64\u50cf\u7d20\u77e9\u9663\u5c01\u88dd\u683c\u5f0f\uff09\u8207 
1132
6a19\u7c64\u50cf\u7d20\u77e9\u9663\u5c01\u88dd\u683c\u5f0f\uff09\u8207 
            
1133
8-bit PNG \u8a9e\u610f\u5206\u5272\u906e\u7f69 [0,255] 
1133
8-bit PNG \u8a9e\u610f\u5206\u5272\u906e\u7f69 [0,255] 
            
1134
\u7d22\u5f15\u503c",
1134
\u7d22\u5f15\u503c",
            
1135
  "nchu_text_dataset_annotation_method_2_note": "",
1135
  "nchu_text_dataset_annotation_method_2_note": "",
            
1136
  "nchu_text_dataset_annotation_method_3_note": 
1136
  "nchu_text_dataset_annotation_method_3_note": 
            
1137
"\u8272\u584a\u586b\u5145",
1137
"\u8272\u584a\u586b\u5145",
            
1138
  "nchu_text_dataset_annotation_progress_1_note": "6464",
1138
  "nchu_text_dataset_annotation_progress_1_note": "6464",
            
1139
  "nchu_text_dataset_annotation_progress_2_note": "",
1139
  "nchu_text_dataset_annotation_progress_2_note": "",
            
1140
  "nchu_text_dataset_annotation_progress_3_note": "",
1140
  "nchu_text_dataset_annotation_progress_3_note": "",
            
1141
  "nchu_text_dataset_authorize_file": 
1141
  "nchu_text_dataset_authorize_file": 
            
1142
9\u96c6\uff082019\u53ef\u898b\u5149\uff09_FAIR\u81ea\u8a55\u8868.odt",
1142
9\u96c6\uff082019\u53ef\u898b\u5149\uff09_FAIR\u81ea\u8a55\u8868.odt",
            
1143
  "nchu_text_dataset_capacity": "\u7d04 7.6 GB",
1143
  "nchu_text_dataset_capacity": "\u7d04 7.6 GB",
            
1144
  "nchu_text_dataset_casenum": "6464",
1144
  "nchu_text_dataset_casenum": "6464",
            
1145
  "nchu_text_dataset_contact": "\u66fe\u4fe1\u9d3b",
1145
  "nchu_text_dataset_contact": "\u66fe\u4fe1\u9d3b",
            
1146
  "nchu_text_dataset_deid_method_2_note": 
1146
  "nchu_text_dataset_deid_method_2_note": 
            
1147
f2\u9032\u884c\u53bb\u8b58\u5225\u5316\u6a21\u7cca\u8655\u7406\u3002",
1147
f2\u9032\u884c\u53bb\u8b58\u5225\u5316\u6a21\u7cca\u8655\u7406\u3002",
            
1148
  "nchu_text_dataset_format": 
1148
  "nchu_text_dataset_format": 
            
1149
"HDF5\uff08\u5716\u78da\u8207\u6a19\u7c64\u5c01\u88dd\u6a94\uff09",
1149
"HDF5\uff08\u5716\u78da\u8207\u6a19\u7c64\u5c01\u88dd\u6a94\uff09",
            
1150
  "nchu_text_dataset_itemnum": "2",
1150
  "nchu_text_dataset_itemnum": "2",
            
1151
  "nchu_text_dataset_legitimate_basis_1_note": "6464",
1151
  "nchu_text_dataset_legitimate_basis_1_note": "6464",
            
1152
  "nchu_text_dataset_legitimate_basis_2_note": "",
1152
  "nchu_text_dataset_legitimate_basis_2_note": "",
            
1153
  "nchu_text_dataset_legitimate_basis_3_note": "",
1153
  "nchu_text_dataset_legitimate_basis_3_note": "",
            
1154
  "nchu_text_dataset_name_4code": "rpad",
1154
  "nchu_text_dataset_name_4code": "rpad",
            
1155
  "nchu_text_dataset_name_4serial": "agri",
1155
  "nchu_text_dataset_name_4serial": "agri",
            
1156
  "nchu_text_dataset_name_6serial": "sm2019",
1156
  "nchu_text_dataset_name_6serial": "sm2019",
            
1157
  "nchu_text_dataset_name_id": "rld001",
1157
  "nchu_text_dataset_name_id": "rld001",
            
1158
  "nchu_text_dataset_name_org_eng_shortname": "07",
1158
  "nchu_text_dataset_name_org_eng_shortname": "07",
            
1159
  "nchu_text_dataset_name_project": "smarter",
1159
  "nchu_text_dataset_name_project": "smarter",
            
1160
  "nchu_text_dataset_name_yyyymmdd": "20260930",
1160
  "nchu_text_dataset_name_yyyymmdd": "20260930",
            
1161
  "nchu_text_dataset_other_note": "",
1161
  "nchu_text_dataset_other_note": "",
            
1162
  "nchu_text_dataset_period": "2019/05/01 - 2019/05/31",
1162
  "nchu_text_dataset_period": "2019/05/01 - 2019/05/31",
            
1163
  "nchu_text_dataset_remark_method_4_note": "",
1163
  "nchu_text_dataset_remark_method_4_note": "",
            
1164
  "nchu_text_dataset_remark_tool": "GIMP",
1164
  "nchu_text_dataset_remark_tool": "GIMP",
            
1165
  "nchu_text_dataset_serial": "20260930181028",
1165
  "nchu_text_dataset_serial": "20260930181028",
            
1166
  "nchu_text_dataset_source": 
1166
  "nchu_text_dataset_source": 
            
1167
0b\u7acb\u4e2d\u8208\u5927\u5b78\u571f\u6728\u5de5\u7a0b\u5b78\u7cfb",
1167
0b\u7acb\u4e2d\u8208\u5927\u5b78\u571f\u6728\u5de5\u7a0b\u5b78\u7cfb",
            
1168
  "nchu_text_dataset_tag": "\u6c34\u7a3b\u5012\u4f0f, 
1168
  "nchu_text_dataset_tag": "\u6c34\u7a3b\u5012\u4f0f, 
            
1169
\u7121\u4eba\u6a5f\u7a7a\u62cd, \u8a9e\u610f\u5206\u5272, 
1169
\u7121\u4eba\u6a5f\u7a7a\u62cd, \u8a9e\u610f\u5206\u5272, 
            
1170
RGB\u53ef\u898b\u5149, \u50cf\u5143\u7d1a\u6a19\u8a3b, 
1170
RGB\u53ef\u898b\u5149, \u50cf\u5143\u7d1a\u6a19\u8a3b, 
            
1171
\u53f0\u4e2d\u9727\u5cf0, \u5929\u7136\u707d\u5bb3, 
1171
\u53f0\u4e2d\u9727\u5cf0, \u5929\u7136\u707d\u5bb3, 
            
1172
\u7cbe\u6e96\u8fb2\u696d, \u571f\u5730\u5229\u7528\u8986\u84cb, 
1172
\u7cbe\u6e96\u8fb2\u696d, \u571f\u5730\u5229\u7528\u8986\u84cb, 
            
1173
512x512\u5716\u78da",
1173
512x512\u5716\u78da",
            
1174
  "nchu_text_dataset_type": 
1174
  "nchu_text_dataset_type": 
            
1175
u5206\u5272\u6a19\u8a3b\u906e\u7f69\uff08\u53ef\u898b\u5149RGB\uff09",
1175
u5206\u5272\u6a19\u8a3b\u906e\u7f69\uff08\u53ef\u898b\u5149RGB\uff09",
            
1176
  "nchu_textarea_dataset_annotation_mapping": "<p 
1176
  "nchu_textarea_dataset_annotation_mapping": "<p 
            
1177
style=\"margin-left:0px !important;\"><span 
1177
style=\"margin-left:0px !important;\"><span 
            
1178
5316\u5207\u5272\uff0c\u55ae\u4e00\u6848\u4f8b\u5c3a\u5bf8\u5747\u70ba 
1178
5316\u5207\u5272\uff0c\u55ae\u4e00\u6848\u4f8b\u5c3a\u5bf8\u5747\u70ba 
            
1179
512\u00d7512 \u50cf\u7d20\u3002</span></p><p style=\"margin-left:0px 
1179
512\u00d7512 \u50cf\u7d20\u3002</span></p><p style=\"margin-left:0px 
            
1180
!important;\">&nbsp;</p><p><img class=\"image_resized\" 
1180
!important;\">&nbsp;</p><p><img class=\"image_resized\" 
            
1181
style=\"width:641px;\" 
1181
style=\"width:641px;\" 
            
1182
hu.edu.tw/smarter/packages/20260930181028/annotation_pair.png\"></p><p 
1182
hu.edu.tw/smarter/packages/20260930181028/annotation_pair.png\"></p><p 
            
1183
style=\"margin-left:0px !important;\">&nbsp;</p><ol><li><span 
1183
style=\"margin-left:0px !important;\">&nbsp;</p><ol><li><span 
            
1184
);\"><strong>\u547d\u540d\u5c0d\u9f4a\u898f\u5247</strong>\uff1a\u4ee5 
1184
);\"><strong>\u547d\u540d\u5c0d\u9f4a\u898f\u5247</strong>\uff1a\u4ee5 
            
1185
HDF5 \u5c01\u88dd\uff0c\u5169\u8005\u5728 /images \u8207 /masks 
1185
HDF5 \u5c01\u88dd\uff0c\u5169\u8005\u5728 /images \u8207 /masks 
            
1186
6c6\uff0c\u53e6\u6709/masks_paddy)\u8cc7\u6599\u96c6\u4e2d\u7684\u7b2c 
1186
6c6\uff0c\u53e6\u6709/masks_paddy)\u8cc7\u6599\u96c6\u4e2d\u7684\u7b2c 
            
1187
i \u500b\u7d22\u5f15\u5207\u7247\uff08Index 
1187
i \u500b\u7d22\u5f15\u5207\u7247\uff08Index 
            
1188
a\u9593\u50cf\u7d20\u5c0d\u61c9\u95dc\u4fc2\u3002</span></li><li><span 
1188
a\u9593\u50cf\u7d20\u5c0d\u61c9\u95dc\u4fc2\u3002</span></li><li><span 
            
1189
gb(31,31,31);\"><strong>\u6a19\u8a3b\u6578\u503c\u5b9a\u7fa9\uff08Mask 
1189
gb(31,31,31);\"><strong>\u6a19\u8a3b\u6578\u503c\u5b9a\u7fa9\uff08Mask 
            
1190
Class 
1190
Class 
            
1191
985e\u5225\u5c0d\u61c9\u5982\u4e0b\uff1a</span></li></ol><ul><li><span 
1191
985e\u5225\u5c0d\u61c9\u5982\u4e0b\uff1a</span></li></ol><ul><li><span 
            
1192
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1192
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1193
4\u9ad4\u6216\u975e\u8fb2\u7530\u5340\u57df\uff09</span></li><li><span 
1193
4\u9ad4\u6216\u975e\u8fb2\u7530\u5340\u57df\uff09</span></li><li><span 
            
1194
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1194
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1195
1\uff1a\u6b63\u5e38\u6c34\u7a3b\uff08Normal 
1195
1\uff1a\u6b63\u5e38\u6c34\u7a3b\uff08Normal 
            
1196
7\u76f4\u7acb\u5065\u5eb7\u4e4b\u6c34\u7a3b\uff09</span></li><li><span 
1196
7\u76f4\u7acb\u5065\u5eb7\u4e4b\u6c34\u7a3b\uff09</span></li><li><span 
            
1197
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1197
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1198
3\u6c34\u6ce5\u6216\u67cf\u6cb9\u8fb2\u8def\uff09</span></li><li><span 
1198
3\u6c34\u6ce5\u6216\u67cf\u6cb9\u8fb2\u8def\uff09</span></li><li><span 
            
1199
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1199
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1200
3\uff1a\u8015\u5730\uff08Arable 
1200
3\uff1a\u8015\u5730\uff08Arable 
            
1201
8\u9732\u8015\u5730\u6216\u4f11\u8015\u5730\uff09</span></li><li><span 
1201
8\u9732\u8015\u5730\u6216\u4f11\u8015\u5730\uff09</span></li><li><span 
            
1202
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1202
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1203
4\uff1a\u5012\u4f0f\u6c34\u7a3b\uff08Lodging 
1203
4\uff1a\u5012\u4f0f\u6c34\u7a3b\uff08Lodging 
            
1204
8\u5012\u4f0f\u4e4b\u53d7\u707d\u6c34\u7a3b\uff09</span></li><li><span 
1204
8\u5012\u4f0f\u4e4b\u53d7\u707d\u6c34\u7a3b\uff09</span></li><li><span 
            
1205
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1205
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1206
ff1a\u908a\u754c\u88dc\u96f6\u8207\u7121\u6548\u50cf\u5143\uff08Ignore 
1206
ff1a\u908a\u754c\u88dc\u96f6\u8207\u7121\u6548\u50cf\u5143\uff08Ignore 
            
1207
42\u4e0d\u53c3\u8207\u640d\u5931\u8a08\u7b97\uff09</span></li></ul><ol 
1207
42\u4e0d\u53c3\u8207\u640d\u5931\u8a08\u7b97\uff09</span></li></ul><ol 
            
1208
start=\"3\"><li><span 
1208
start=\"3\"><li><span 
            
1209
(31,31,31);\"><strong>MTL\u6a19\u8a3b\u6578\u503c\u5b9a\u7fa9\uff08MTL 
1209
(31,31,31);\"><strong>MTL\u6a19\u8a3b\u6578\u503c\u5b9a\u7fa9\uff08MTL 
            
1210
Mask Class 
1210
Mask Class 
            
1211
6578\u503c\u8207\u5730\u7269\u985e\u5225\u5c0d\u61c9\u5982\u4e0b\uff1a 
1211
6578\u503c\u8207\u5730\u7269\u985e\u5225\u5c0d\u61c9\u5982\u4e0b\uff1a 
            
1212
&nbsp;</span></li></ol><ul><li><span 
1212
&nbsp;</span></li></ol><ul><li><span 
            
1213
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1213
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1214
4\u9ad4\u6216\u975e\u8fb2\u7530\u5340\u57df\uff09</span></li><li><span 
1214
4\u9ad4\u6216\u975e\u8fb2\u7530\u5340\u57df\uff09</span></li><li><span 
            
1215
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1215
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1216
08paddy\uff0c\u6c34\u7a3b\u7530\u5340\u57df\uff09</span></li><li><span 
1216
08paddy\uff0c\u6c34\u7a3b\u7530\u5340\u57df\uff09</span></li><li><span 
            
1217
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
1217
e=\"background-color:rgba(0,0,0,0);color:rgb(31,31,31);\">\u6578\u503c 
            
1218
ff1a\u908a\u754c\u88dc\u96f6\u8207\u7121\u6548\u50cf\u5143\uff08Ignore 
1218
ff1a\u908a\u754c\u88dc\u96f6\u8207\u7121\u6548\u50cf\u5143\uff08Ignore 
            
1219
u5931\u8a08\u7b97\uff09</span></li></ul><p>&nbsp;</p><p>---</p><p>This 
1219
u5931\u8a08\u7b97\uff09</span></li></ul><p>&nbsp;</p><p>---</p><p>This 
            
1220
dataset maintains a strict one-to-one (1:1) pixel-level spatial 
1220
dataset maintains a strict one-to-one (1:1) pixel-level spatial 
            
1221
alignment between images and annotations. Both the high-resolution 
1221
alignment between images and annotations. Both the high-resolution 
            
1222
aerial orthomosaic and the manually annotated masks were cut into 
1222
aerial orthomosaic and the manually annotated masks were cut into 
            
1223
standardized tiles of 512 \u00d7 512 pixels per sample.</p><p><img 
1223
standardized tiles of 512 \u00d7 512 pixels per sample.</p><p><img 
            
1224
class=\"image_resized\" style=\"width:641px;\" 
1224
class=\"image_resized\" style=\"width:641px;\" 
            
1225
ter/packages/20260930181028/annotation_pair.png\"></p><p>&nbsp;</p><ol 
1225
ter/packages/20260930181028/annotation_pair.png\"></p><p>&nbsp;</p><ol 
            
1226
style=\"list-style-type:decimal;\"><li><strong>Alignment 
1226
style=\"list-style-type:decimal;\"><li><strong>Alignment 
            
1227
Rule</strong>: The data are packaged in HDF5. The i-th index slice of 
1227
Rule</strong>: The data are packaged in HDF5. The i-th index slice of 
            
1228
the `/images` dataset corresponds pixel-for-pixel to the i-th index 
1228
the `/images` dataset corresponds pixel-for-pixel to the i-th index 
            
1229
slice of the `/masks` dataset (and of `/masks_paddy` in the 
1229
slice of the `/masks` dataset (and of `/masks_paddy` in the 
            
1230
multi-task/MTL versions).</li><li><strong>Mask Class Index</strong>: 
1230
multi-task/MTL versions).</li><li><strong>Mask Class Index</strong>: 
            
1231
Each annotation mask is a single-channel array. Each pixel value maps 
1231
Each annotation mask is a single-channel array. Each pixel value maps 
            
1232
to a land-cover class as follows:</li></ol><ul><li>Value 0: Background 
1232
to a land-cover class as follows:</li></ol><ul><li>Value 0: Background 
            
1233
(farmhouses, buildings, water bodies, or non-farmland 
1233
(farmhouses, buildings, water bodies, or non-farmland 
            
1234
areas)</li><li>Value 1: Normal rice (healthy rice growing 
1234
areas)</li><li>Value 1: Normal rice (healthy rice growing 
            
1235
upright)</li><li>Value 2: Road (concrete or asphalt roads within the 
1235
upright)</li><li>Value 2: Road (concrete or asphalt roads within the 
            
1236
farmland)</li><li>Value 3: Arable land (field ridges, bare cultivated 
1236
farmland)</li><li>Value 3: Arable land (field ridges, bare cultivated 
            
1237
land, or fallow land)</li><li>Value 4: Lodging rice (rice bent or 
1237
land, or fallow land)</li><li>Value 4: Lodging rice (rice bent or 
            
1238
flattened by wind and rain during natural disasters)</li><li>Value 
1238
flattened by wind and rain during natural disasters)</li><li>Value 
            
1239
255: Padding and invalid pixels (Ignore Index; excluded from the loss 
1239
255: Padding and invalid pixels (Ignore Index; excluded from the loss 
            
1240
during training)</li></ul><p>&nbsp;</p><ol start=\"3\"><li><strong>MTL 
1240
during training)</li></ul><p>&nbsp;</p><ol start=\"3\"><li><strong>MTL 
            
1241
Mask Class Index</strong>: Each MTL annotation mask is a 
1241
Mask Class Index</strong>: Each MTL annotation mask is a 
            
1242
single-channel array. Each pixel value maps to a class as 
1242
single-channel array. Each pixel value maps to a class as 
            
1243
follows:</li></ol><ul><li>Value 0: Non-paddy (farmhouses, buildings, 
1243
follows:</li></ol><ul><li>Value 0: Non-paddy (farmhouses, buildings, 
            
1244
water bodies, or non-farmland areas)</li><li>Value 1: Paddy (rice 
1244
water bodies, or non-farmland areas)</li><li>Value 1: Paddy (rice 
            
1245
paddy areas)</li><li>Value 255: Padding and invalid pixels (Ignore 
1245
paddy areas)</li><li>Value 255: Padding and invalid pixels (Ignore 
            
1246
Index; excluded from the loss during training)</li></ul>",
1246
Index; excluded from the loss during training)</li></ul>",
            
1247
  "nchu_textarea_dataset_approve_note": 
1247
  "nchu_textarea_dataset_approve_note": 
            
1248
"\u8cc7\u6599\u5b8c\u5099\uff0c\u5be9\u6838\u901a\u904e",
1248
"\u8cc7\u6599\u5b8c\u5099\uff0c\u5be9\u6838\u901a\u904e",
            
1249
  "notes": 
1249
  "notes": 
            
1250
\u7121\u4eba\u6a5f\u7a7a\u62cd\u8abf\u67e5\u6210\u679c\u3002\r\n\r\n## 
1250
\u7121\u4eba\u6a5f\u7a7a\u62cd\u8abf\u67e5\u6210\u679c\u3002\r\n\r\n## 
            
1251
1. \u8cc7\u6599\u6536\u96c6\u8207\u524d\u8655\u7406  \r\n\r\n* 
1251
1. \u8cc7\u6599\u6536\u96c6\u8207\u524d\u8655\u7406  \r\n\r\n* 
            
1252
**\u62cd\u651d\u6642\u671f\u8207\u5730\u9ede**\uff1a\u65bc 2019 \u5e74 
1252
**\u62cd\u651d\u6642\u671f\u8207\u5730\u9ede**\uff1a\u65bc 2019 \u5e74 
            
1253
5 
1253
5 
            
1254
a2e\u70ba\u53f0\u8fb271\u865f\u76ca\u5168\u9999\u7c73\uff09\u3002\r\n* 
1254
a2e\u70ba\u53f0\u8fb271\u865f\u76ca\u5168\u9999\u7c73\uff09\u3002\r\n* 
            
1255
\u642d\u8f09\u9ad8\u898f\u683c\u5168\u7247\u5e45\u76f8\u6a5f\uff08Sony 
1255
\u642d\u8f09\u9ad8\u898f\u683c\u5168\u7247\u5e45\u76f8\u6a5f\uff08Sony 
            
1256
a7R 
1256
a7R 
            
1257
898f\u5283\u62cd\u651d\uff0c\u5730\u9762\u89e3\u6790\u5ea6\u9054\u7d04 
1257
898f\u5283\u62cd\u651d\uff0c\u5730\u9762\u89e3\u6790\u5ea6\u9054\u7d04 
            
1258
4.7 cm/pixel\u3002\r\n* 
1258
4.7 cm/pixel\u3002\r\n* 
            
1259
u7522\u88fd\u5168\u5340\u6b63\u5c04\u9472\u5d4c\u5f71\u50cf\u3002\r\n* 
1259
u7522\u88fd\u5168\u5340\u6b63\u5c04\u9472\u5d4c\u5f71\u50cf\u3002\r\n* 
            
1260
3c**\uff1a\u5c07\u5168\u5340\u6b63\u5c04\u5f71\u50cf\u5207\u5206\u70ba 
1260
3c**\uff1a\u5c07\u5168\u5340\u6b63\u5c04\u5f71\u50cf\u5207\u5206\u70ba 
            
1261
512x512 
1261
512x512 
            
1262
6a19\u6e96\u5716\u78da\uff0c\u6709\u6548\u5716\u78da\u7e3d\u8a08\u9054 
1262
6a19\u6e96\u5716\u78da\uff0c\u6709\u6548\u5716\u78da\u7e3d\u8a08\u9054 
            
1263
6,464 
1263
6,464 
            
1264
ff0c\u4e26\u5c01\u88dd\u70ba\u9ad8\u6548\u80fd\u8b80\u5beb\u683c\u5f0f 
1264
ff0c\u4e26\u5c01\u88dd\u70ba\u9ad8\u6548\u80fd\u8b80\u5beb\u683c\u5f0f 
            
1265
(HDF5)\u3002\r\n\r\n## 2. 
1265
(HDF5)\u3002\r\n\r\n## 2. 
            
1266
\u5730\u771f\u6a19\u8a3b\u8207\u985e\u5225\u5b9a\u7fa9  
1266
\u5730\u771f\u6a19\u8a3b\u8207\u985e\u5225\u5b9a\u7fa9  
            
1267
8a3b\uff0c\u5171\u5b9a\u7fa9\u4e94\u5927\u5730\u7269\u985e\u5225\uff1a  
1267
8a3b\uff0c\u5171\u5b9a\u7fa9\u4e94\u5927\u5730\u7269\u985e\u5225\uff1a  
            
1268
\r\n\r\n* **\u5012\u4f0f\u6c34\u7a3b\uff08Lodging 
1268
\r\n\r\n* **\u5012\u4f0f\u6c34\u7a3b\uff08Lodging 
            
1269
6298\u65b7\u5f4e\u6298\u5012\u4e0b\u4e4b\u6c34\u7a3b\u5340\u57df\u3002  
1269
6298\u65b7\u5f4e\u6298\u5012\u4e0b\u4e4b\u6c34\u7a3b\u5340\u57df\u3002  
            
1270
\r\n* **\u6b63\u5e38\u6c34\u7a3b\uff08Normal 
1270
\r\n* **\u6b63\u5e38\u6c34\u7a3b\uff08Normal 
            
1271
76f4\u7acb\u751f\u9577\u5065\u5eb7\u4e4b\u6c34\u7a3b\u690d\u88ab\u3002  
1271
76f4\u7acb\u751f\u9577\u5065\u5eb7\u4e4b\u6c34\u7a3b\u690d\u88ab\u3002  
            
1272
\r\n* **\u8015\u5730\uff08Arable 
1272
\r\n* **\u8015\u5730\uff08Arable 
            
1273
ff1a\u6536\u5272\u5f8c\u4e4b\u7a3b\u7530\u690d\u88ab\u88f8\u5730\u3002  
1273
ff1a\u6536\u5272\u5f8c\u4e4b\u7a3b\u7530\u690d\u88ab\u88f8\u5730\u3002  
            
1274
\r\n* 
1274
\r\n* 
            
1275
09**\uff1a\u7530\u9593\u67cf\u6cb9\u6216\u6c34\u6ce5\u9053\u8def\u3002  
1275
09**\uff1a\u7530\u9593\u67cf\u6cb9\u6216\u6c34\u6ce5\u9053\u8def\u3002  
            
1276
\r\n* 
1276
\r\n* 
            
1277
3001\u6c34\u9ad4\u6216\u975e\u8fb2\u7530\u74b0\u5883\u96dc\u8a0a\u3002  
1277
3001\u6c34\u9ad4\u6216\u975e\u8fb2\u7530\u74b0\u5883\u96dc\u8a0a\u3002  
            
1278
\r\n\r\n## 3. 
1278
\r\n\r\n## 3. 
            
1279
\u6599\u96c6\u5df2\u8a2d\u5b9a\u5206\u5c64\u5207\u5206\uff08Stratified 
1279
\u6599\u96c6\u5df2\u8a2d\u5b9a\u5206\u5c64\u5207\u5206\uff08Stratified 
            
1280
2\u8def\uff08CNN\uff09\u6216\u8996\u89ba\u8f49\u63db\u5668\uff08Vision 
1280
2\u8def\uff08CNN\uff09\u6216\u8996\u89ba\u8f49\u63db\u5668\uff08Vision 
            
1281
\u7fd2\u7684\u5f37\u5065\u9810\u8a13\u7df4\u57fa\u5e95\u3002\r\n\r\n## 
1281
\u7fd2\u7684\u5f37\u5065\u9810\u8a13\u7df4\u57fa\u5e95\u3002\r\n\r\n## 
            
1282
4. 
1282
4. 
            
1283
48\u8aaa\u660e\r\n\r\n\u672c\u8cc7\u6599\u96c6\u63d0\u4f9b\u56db\u500b 
1283
48\u8aaa\u660e\r\n\r\n\u672c\u8cc7\u6599\u96c6\u63d0\u4f9b\u56db\u500b 
            
1284
HDF5 
1284
HDF5 
            
1285
8207\u6e2c\u8a66\u96c6\u3002\u6240\u6709\u5716\u78da\u90fd\u662f\u5f9e 
1285
8207\u6e2c\u8a66\u96c6\u3002\u6240\u6709\u5716\u78da\u90fd\u662f\u5f9e 
            
1286
4096\u00d74096 \u7684\u7814\u7a76\u5340\u584a\u5927\u5716\u5207\u6210 
1286
4096\u00d74096 \u7684\u7814\u7a76\u5340\u584a\u5927\u5716\u5207\u6210 
            
1287
8\u00d78 \u5171 64 \u5f35 512\u00d7512 
1287
8\u00d78 \u5171 64 \u5f35 512\u00d7512 
            
1288
8cc7\u6599\u6d29\u6f0f\u3002\u5716\u78da\u540d\u7a31\u683c\u5f0f\u70ba 
1288
8cc7\u6599\u6d29\u6f0f\u3002\u5716\u78da\u540d\u7a31\u683c\u5f0f\u70ba 
            
1289
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff08\u4f8b\u5982 
1289
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff08\u4f8b\u5982 
            
1290
`007_r03_c05`\uff09\uff0c\u5b58\u653e\u5728\u5404\u6a94\u6848\u7684 
1290
`007_r03_c05`\uff09\uff0c\u5b58\u653e\u5728\u5404\u6a94\u6848\u7684 
            
1291
`/filenames` \u4e2d\u3002\r\n\r\n* 
1291
`/filenames` \u4e2d\u3002\r\n\r\n* 
            
1292
**ricelodging_2019_trainval_512px_4288samples.h5**\uff08\u7d04 2.7 
1292
**ricelodging_2019_trainval_512px_4288samples.h5**\uff08\u7d04 2.7 
            
1293
55ae\u4efb\u52d9\u7248\u8a13\u7df4\uff0f\u9a57\u8b49\u96c6\uff0c\u5171 
1293
55ae\u4efb\u52d9\u7248\u8a13\u7df4\uff0f\u9a57\u8b49\u96c6\uff0c\u5171 
            
1294
4,288 \u5f35\u5716\u78da\uff0c\u4f86\u81ea 67 
1294
4,288 \u5f35\u5716\u78da\uff0c\u4f86\u81ea 67 
            
1295
\u5e45\u5340\u584a\u5927\u5716\u3002\u5305\u542b `/images`\uff08RGB 
1295
\u5e45\u5340\u584a\u5927\u5716\u3002\u5305\u542b `/images`\uff08RGB 
            
1296
8a9e\u610f\u6a19\u7c64\uff0cN\u00d7512\u00d7512\uff0cuint8\uff09\u8207 
1296
8a9e\u610f\u6a19\u7c64\uff0cN\u00d7512\u00d7512\uff0cuint8\uff09\u8207 
            
1297
884c\u5207\u51fa\uff0c\u539f\u8ad6\u6587\u4ee5\u96a8\u6a5f\u7a2e\u5b50 
1297
884c\u5207\u51fa\uff0c\u539f\u8ad6\u6587\u4ee5\u96a8\u6a5f\u7a2e\u5b50 
            
1298
42 \u6309 80% \u8a13\u7df4\u300120% 
1298
42 \u6309 80% \u8a13\u7df4\u300120% 
            
1299
\u9a57\u8b49\u5207\u5206\u3002\r\n* 
1299
\u9a57\u8b49\u5207\u5206\u3002\r\n* 
            
1300
**ricelodging_2019_test_512px_2176samples.h5**\uff08\u7d04 1.36 
1300
**ricelodging_2019_test_512px_2176samples.h5**\uff08\u7d04 1.36 
            
1301
GB\uff09\uff1a\u55ae\u4efb\u52d9\u7248\u6e2c\u8a66\u96c6\uff0c\u5171 
1301
GB\uff09\uff1a\u55ae\u4efb\u52d9\u7248\u6e2c\u8a66\u96c6\uff0c\u5171 
            
1302
2,176 \u5f35\u5716\u78da\uff0c\u4f86\u81ea\u53e6\u5916 34 
1302
2,176 \u5f35\u5716\u78da\uff0c\u4f86\u81ea\u53e6\u5916 34 
            
1303
u7528\u65bc\u6a21\u578b\u6700\u7d42\u6548\u80fd\u8a55\u4f30\u3002\r\n* 
1303
u7528\u65bc\u6a21\u578b\u6700\u7d42\u6548\u80fd\u8a55\u4f30\u3002\r\n* 
            
1304
**ricelodging-mtl_2019_trainval_512px_4288samples.h5**\uff08\u7d04 2.7 
1304
**ricelodging-mtl_2019_trainval_512px_4288samples.h5**\uff08\u7d04 2.7 
            
1305
52d9\u7248\u9010\u7b46\u76f8\u540c\uff0c\u53e6\u5916\u591a\u4e00\u500b 
1305
52d9\u7248\u9010\u7b46\u76f8\u540c\uff0c\u53e6\u5916\u591a\u4e00\u500b 
            
1306
u7684\u6c34\u7a3b\u7530\u5206\u652f\u76e3\u7763\u4f7f\u7528\u3002\r\n* 
1306
u7684\u6c34\u7a3b\u7530\u5206\u652f\u76e3\u7763\u4f7f\u7528\u3002\r\n* 
            
1307
**ricelodging-mtl_2019_test_512px_2176samples.h5**\uff08\u7d04 1.36 
1307
**ricelodging-mtl_2019_test_512px_2176samples.h5**\uff08\u7d04 1.36 
            
1308
7248\u6e2c\u8a66\u96c6\u9010\u7b46\u76f8\u540c\uff0c\u4e26\u9644\u52a0 
1308
7248\u6e2c\u8a66\u96c6\u9010\u7b46\u76f8\u540c\uff0c\u4e26\u9644\u52a0 
            
1309
7530\u906e\u7f69\u7684\u591a\u4efb\u52d9\u6a21\u578b\u8acb\u4f7f\u7528 
1309
7530\u906e\u7f69\u7684\u591a\u4efb\u52d9\u6a21\u578b\u8acb\u4f7f\u7528 
            
1310
MTL \u7248\u3002MTL 
1310
MTL \u7248\u3002MTL 
            
1311
\uff0c\u53ea\u9700\u4e0b\u8f09\u5176\u4e2d\u4e00\u7d44\u3002\r\n\r\n## 
1311
\uff0c\u53ea\u9700\u4e0b\u8f09\u5176\u4e2d\u4e00\u7d44\u3002\r\n\r\n## 
            
1312
5. \u5f15\u7528\u8207\u6388\u6b0a\r\n\r\n* 
1312
5. \u5f15\u7528\u8207\u6388\u6b0a\r\n\r\n* 
            
1313
**CITATION.cff**\uff1aCitation File Format 1.2.0 
1313
**CITATION.cff**\uff1aCitation File Format 1.2.0 
            
1314
u7528\u672c\u8cc7\u6599\u96c6\u8207\u4ee5\u4e0b\u8ad6\u6587\uff1aYang, 
1314
u7528\u672c\u8cc7\u6599\u96c6\u8207\u4ee5\u4e0b\u8ad6\u6587\uff1aYang, 
            
1315
M.-D., & Tseng, H.-H. (2025). Rule-Based Multi-Task Deep Learning for 
1315
M.-D., & Tseng, H.-H. (2025). Rule-Based Multi-Task Deep Learning for 
            
1316
Highly Efficient Rice Lodging Segmentation. *Remote Sensing*, 17(9), 
1316
Highly Efficient Rice Lodging Segmentation. *Remote Sensing*, 17(9), 
            
1317
1505. https://doi.org/10.3390/rs17091505\r\n* 
1317
1505. https://doi.org/10.3390/rs17091505\r\n* 
            
1318
**LICENSE**\uff1a\u672c\u8cc7\u6599\u96c6\u4ee5\u300c\u5275\u7528 CC 
1318
**LICENSE**\uff1a\u672c\u8cc7\u6599\u96c6\u4ee5\u300c\u5275\u7528 CC 
            
1319
\u59d3\u540d\u6a19\u793a 4.0 \u570b\u969b\u300d\uff08CC BY 
1319
\u59d3\u540d\u6a19\u793a 4.0 \u570b\u969b\u300d\uff08CC BY 
            
1320
6a94\u6848\u5167\u542b\u4e2d\u82f1\u6587\u6388\u6b0a\u6458\u8981\u8207 
1320
6a94\u6848\u5167\u542b\u4e2d\u82f1\u6587\u6388\u6b0a\u6458\u8981\u8207 
            
1321
CC BY 4.0 
1321
CC BY 4.0 
            
1322
\u5b8c\u6574\u6cd5\u5f8b\u689d\u6587\u3002\r\n\r\n\r\n---\r\nThis 
1322
\u5b8c\u6574\u6cd5\u5f8b\u689d\u6587\u3002\r\n\r\n\r\n---\r\nThis 
            
1323
dataset is derived from UAV aerial surveys conducted in Wufeng 
1323
dataset is derived from UAV aerial surveys conducted in Wufeng 
            
1324
District, Taichung, Taiwan, by the Agricultural Remote Sensing 
1324
District, Taichung, Taiwan, by the Agricultural Remote Sensing 
            
1325
Research Team at National Chung Hsing University.\r\n\r\n## 1. Data 
1325
Research Team at National Chung Hsing University.\r\n\r\n## 1. Data 
            
1326
Collection and Preprocessing\r\n\r\n* **Acquisition Period and 
1326
Collection and Preprocessing\r\n\r\n* **Acquisition Period and 
            
1327
Location**: Images were captured in May 2019 during the rice maturity 
1327
Location**: Images were captured in May 2019 during the rice maturity 
            
1328
stage in Wufeng District, Taichung, Taiwan. The predominant cultivar 
1328
stage in Wufeng District, Taichung, Taiwan. The predominant cultivar 
            
1329
in the area is Tainung No. 71 (Yi-Chuan aromatic rice).\r\n* **Imaging 
1329
in the area is Tainung No. 71 (Yi-Chuan aromatic rice).\r\n* **Imaging 
            
1330
Specifications**: A UAV carrying a full-frame camera (Sony a7R MKII) 
1330
Specifications**: A UAV carrying a full-frame camera (Sony a7R MKII) 
            
1331
flew pre-planned routes and captured images from a nadir view, with a 
1331
flew pre-planned routes and captured images from a nadir view, with a 
            
1332
ground sampling distance (GSD) of approximately 4.7 cm/pixel.\r\n* 
1332
ground sampling distance (GSD) of approximately 4.7 cm/pixel.\r\n* 
            
1333
**Orthomosaic Generation**: Structure from Motion (SfM) and Multi-View 
1333
**Orthomosaic Generation**: Structure from Motion (SfM) and Multi-View 
            
1334
Stereo (MVS) algorithms were applied to the raw aerial photographs to 
1334
Stereo (MVS) algorithms were applied to the raw aerial photographs to 
            
1335
build a Digital Surface Model (DSM). The DSM was then used for 
1335
build a Digital Surface Model (DSM). The DSM was then used for 
            
1336
geometric correction to produce an orthomosaic of the entire study 
1336
geometric correction to produce an orthomosaic of the entire study 
            
1337
area.\r\n* **Tiling**: The orthomosaic was divided into standard tiles 
1337
area.\r\n* **Tiling**: The orthomosaic was divided into standard tiles 
            
1338
of 512 \u00d7 512 pixels. The 6,464 valid tiles are packaged in HDF5 
1338
of 512 \u00d7 512 pixels. The 6,464 valid tiles are packaged in HDF5 
            
1339
format for fast reading and writing.\r\n\r\n## 2. Ground Truth 
1339
format for fast reading and writing.\r\n\r\n## 2. Ground Truth 
            
1340
Annotation and Class Definitions\r\n\r\nThe dataset was annotated 
1340
Annotation and Class Definitions\r\n\r\nThe dataset was annotated 
            
1341
manually at the pixel level, with five land-cover classes:\r\n\r\n* 
1341
manually at the pixel level, with five land-cover classes:\r\n\r\n* 
            
1342
**Lodging rice**: Rice whose stems were broken, bent, or flattened by 
1342
**Lodging rice**: Rice whose stems were broken, bent, or flattened by 
            
1343
wind and rain.\r\n* **Normal rice**: Healthy rice plants growing 
1343
wind and rain.\r\n* **Normal rice**: Healthy rice plants growing 
            
1344
upright.\r\n* **Arable land**: Bare paddy fields after harvest.\r\n* 
1344
upright.\r\n* **Arable land**: Bare paddy fields after harvest.\r\n* 
            
1345
**Road**: Asphalt or concrete roads within the farmland.\r\n* 
1345
**Road**: Asphalt or concrete roads within the farmland.\r\n* 
            
1346
**Background**: Farmhouses, buildings, water bodies, and other 
1346
**Background**: Farmhouses, buildings, water bodies, and other 
            
1347
non-farmland areas.\r\n\r\n## 3. Data Characteristics and Recommended 
1347
non-farmland areas.\r\n\r\n## 3. Data Characteristics and Recommended 
            
1348
Applications\r\n\r\nThe dataset captures real field conditions, 
1348
Applications\r\n\r\nThe dataset captures real field conditions, 
            
1349
including varying illumination, interlaced field ridges, and complex 
1349
including varying illumination, interlaced field ridges, and complex 
            
1350
textures from different degrees of lodging. It has been split with 
1350
textures from different degrees of lodging. It has been split with 
            
1351
stratified splitting and can be used directly to train and evaluate 
1351
stratified splitting and can be used directly to train and evaluate 
            
1352
Convolutional Neural Networks (CNNs) or Vision Transformers. It is 
1352
Convolutional Neural Networks (CNNs) or Vision Transformers. It is 
            
1353
also a solid pre-training base for multi-modal and cross-year transfer 
1353
also a solid pre-training base for multi-modal and cross-year transfer 
            
1354
learning.\r\n\r\n## 4. Data Files\r\n\r\nThe dataset contains four 
1354
learning.\r\n\r\n## 4. Data Files\r\n\r\nThe dataset contains four 
            
1355
HDF5 files in two groups, single-task and multi-task (MTL). Each group 
1355
HDF5 files in two groups, single-task and multi-task (MTL). Each group 
            
1356
has a train/validation set and a test set. Every tile comes from a 
1356
has a train/validation set and a test set. Every tile comes from a 
            
1357
4096 \u00d7 4096 source block, which was cut into an 8 \u00d7 8 grid 
1357
4096 \u00d7 4096 source block, which was cut into an 8 \u00d7 8 grid 
            
1358
of 64 tiles of 512 \u00d7 512 pixels. The train/validation and test 
1358
of 64 tiles of 512 \u00d7 512 pixels. The train/validation and test 
            
1359
sets are split by source block with no overlap, so neighboring tiles 
1359
sets are split by source block with no overlap, so neighboring tiles 
            
1360
cannot leak between them. Tiles are named `{block 
1360
cannot leak between them. Tiles are named `{block 
            
1361
ID}_r{row}_c{column}` (e.g., `007_r03_c05`), and the names are stored 
1361
ID}_r{row}_c{column}` (e.g., `007_r03_c05`), and the names are stored 
            
1362
in each file's `/filenames` dataset.\r\n\r\n* 
1362
in each file's `/filenames` dataset.\r\n\r\n* 
            
1363
**ricelodging_2019_trainval_512px_4288samples.h5** (about 2.7 GB): 
1363
**ricelodging_2019_trainval_512px_4288samples.h5** (about 2.7 GB): 
            
1364
Single-task train/validation set with 4,288 tiles from 67 source 
1364
Single-task train/validation set with 4,288 tiles from 67 source 
            
1365
blocks. It contains `/images` (RGB images, N \u00d7 512 \u00d7 512 
1365
blocks. It contains `/images` (RGB images, N \u00d7 512 \u00d7 512 
            
1366
\u00d7 3, uint8), `/masks` (five-class semantic labels, N \u00d7 512 
1366
\u00d7 3, uint8), `/masks` (five-class semantic labels, N \u00d7 512 
            
1367
\u00d7 512, uint8), and `/filenames`. Users split off their own 
1367
\u00d7 512, uint8), and `/filenames`. Users split off their own 
            
1368
validation set; the original study used a random 80% / 20% 
1368
validation set; the original study used a random 80% / 20% 
            
1369
train/validation split with seed 42.\r\n* 
1369
train/validation split with seed 42.\r\n* 
            
1370
**ricelodging_2019_test_512px_2176samples.h5** (about 1.36 GB): 
1370
**ricelodging_2019_test_512px_2176samples.h5** (about 1.36 GB): 
            
1371
Single-task test set with 2,176 tiles from a separate set of 34 source 
1371
Single-task test set with 2,176 tiles from a separate set of 34 source 
            
1372
blocks. It has the same structure as the train/validation file and is 
1372
blocks. It has the same structure as the train/validation file and is 
            
1373
used for final model evaluation.\r\n* 
1373
used for final model evaluation.\r\n* 
            
1374
**ricelodging-mtl_2019_trainval_512px_4288samples.h5** (about 2.7 GB): 
1374
**ricelodging-mtl_2019_trainval_512px_4288samples.h5** (about 2.7 GB): 
            
1375
Multi-task train/validation set. Its images, labels, and filenames are 
1375
Multi-task train/validation set. Its images, labels, and filenames are 
            
1376
identical, sample for sample, to the single-task version. It adds 
1376
identical, sample for sample, to the single-task version. It adds 
            
1377
`/masks_paddy` (a binary paddy-field mask, N \u00d7 512 \u00d7 512, 
1377
`/masks_paddy` (a binary paddy-field mask, N \u00d7 512 \u00d7 512, 
            
1378
uint8) to supervise the paddy branch in multi-task learning.\r\n* 
1378
uint8) to supervise the paddy branch in multi-task learning.\r\n* 
            
1379
**ricelodging-mtl_2019_test_512px_2176samples.h5** (about 1.36 GB): 
1379
**ricelodging-mtl_2019_test_512px_2176samples.h5** (about 1.36 GB): 
            
1380
Multi-task test set. It is identical, sample for sample, to the 
1380
Multi-task test set. It is identical, sample for sample, to the 
            
1381
single-task test set, with the addition of 
1381
single-task test set, with the addition of 
            
1382
`/masks_paddy`.\r\n\r\nRecommendation: Use the single-task files for 
1382
`/masks_paddy`.\r\n\r\nRecommendation: Use the single-task files for 
            
1383
standard semantic segmentation models, and the MTL files for 
1383
standard semantic segmentation models, and the MTL files for 
            
1384
multi-task models that need the paddy-field mask. The MTL files 
1384
multi-task models that need the paddy-field mask. The MTL files 
            
1385
contain everything in the single-task files, so you only need to 
1385
contain everything in the single-task files, so you only need to 
            
1386
download one group.\r\n\r\n## 5. Citation and License\r\n\r\n* 
1386
download one group.\r\n\r\n## 5. Citation and License\r\n\r\n* 
            
1387
**CITATION.cff**: Citation metadata in Citation File Format (CFF 
1387
**CITATION.cff**: Citation metadata in Citation File Format (CFF 
            
1388
1.2.0). It lists the dataset title, authors, affiliation, dataset ID 
1388
1.2.0). It lists the dataset title, authors, affiliation, dataset ID 
            
1389
and URL, license, and the preferred article citation. If you use this 
1389
and URL, license, and the preferred article citation. If you use this 
            
1390
dataset in published work, please cite both the dataset and the 
1390
dataset in published work, please cite both the dataset and the 
            
1391
following article: Yang, M.-D., & Tseng, H.-H. (2025). Rule-Based 
1391
following article: Yang, M.-D., & Tseng, H.-H. (2025). Rule-Based 
            
1392
Multi-Task Deep Learning for Highly Efficient Rice Lodging 
1392
Multi-Task Deep Learning for Highly Efficient Rice Lodging 
            
1393
Segmentation. *Remote Sensing*, 17(9), 1505. 
1393
Segmentation. *Remote Sensing*, 17(9), 1505. 
            
1394
https://doi.org/10.3390/rs17091505\r\n* **LICENSE**: The dataset is 
1394
https://doi.org/10.3390/rs17091505\r\n* **LICENSE**: The dataset is 
            
1395
released under the Creative Commons Attribution 4.0 International 
1395
released under the Creative Commons Attribution 4.0 International 
            
1396
License (CC BY 4.0). You may share, adapt, and redistribute the 
1396
License (CC BY 4.0). You may share, adapt, and redistribute the 
            
1397
dataset for any purpose, including commercial use, as long as you give 
1397
dataset for any purpose, including commercial use, as long as you give 
            
1398
appropriate credit, link to the license, and indicate any changes. The 
1398
appropriate credit, link to the license, and indicate any changes. The 
            
1399
file includes a bilingual (Chinese/English) summary and the full CC BY 
1399
file includes a bilingual (Chinese/English) summary and the full CC BY 
            
1400
4.0 legal code.\r\n",
1400
4.0 legal code.\r\n",
            
1401
  "num_resources": 6,
1401
  "num_resources": 6,
            
1402
  "num_tags": 11,
1402
  "num_tags": 11,
            
1403
  "organization": {
1403
  "organization": {
            
1404
    "approval_status": "approved",
1404
    "approval_status": "approved",
            
1405
    "created": "2022-05-19T11:34:42.143017",
1405
    "created": "2022-05-19T11:34:42.143017",
            
1406
    "description": "## \u8a08\u756b\u4ecb\u7d39  
1406
    "description": "## \u8a08\u756b\u4ecb\u7d39  
            
1407
08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI 
1407
08\u756b\u8a2d\u8a08\u9006\u5883\u5834\u57df\u7814\u767c\u9059\u6e2cAI 
            
1408
5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 
1408
5\u81f3\u751f\u6b96\u751f\u9577\u968e\u6bb5\uff0c\u7d50\u5408UAV\u8207 
            
1409
IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI 
1409
IoT \u8a2d\u5099\u5c0e\u5165\u5f71\u50cf\u5206\u6790\u8207 AI 
            
1410
8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002  
1410
8853\u843d\u5730\u8207\u7522\u80fd\u63d0\u5347\u4e4b\u6548\u76ca\u3002  
            
1411
\r\n\r\n### \u6548\u76ca  \r\n 1. 
1411
\r\n\r\n### \u6548\u76ca  \r\n 1. 
            
1412
70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002  
1412
70ba\u91cd\u8981\u8fb2\u696d\u7814\u7a76\u57fa\u790e\u5efa\u8a2d\u3002  
            
1413
\r\n 2. 
1413
\r\n 2. 
            
1414
9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002  
1414
9810\u6e2c\u8207\u9006\u5883\u98a8\u96aa\u9810\u8b66\u6a21\u5f0f\u3002  
            
1415
\r\n 3. 
1415
\r\n 3. 
            
1416
4e4b\u9059\u6e2c\u8f14\u52a9\u8cc7\u6e90\u7ba1\u7406\u6a5f\u5236\u3002  
1416
4e4b\u9059\u6e2c\u8f14\u52a9\u8cc7\u6e90\u7ba1\u7406\u6a5f\u5236\u3002  
            
1417
",
1417
",
            
1418
    "id": "896d404d-e1d3-4ad9-900d-750d3747c119",
1418
    "id": "896d404d-e1d3-4ad9-900d-750d3747c119",
            
1419
    "image_url": "",
1419
    "image_url": "",
            
1420
    "is_organization": true,
1420
    "is_organization": true,
            
1421
    "name": "hort",
1421
    "name": "hort",
            
1422
    "state": "active",
1422
    "state": "active",
            
1423
    "title": "Crop digital twin for growth adversity index and 
1423
    "title": "Crop digital twin for growth adversity index and 
            
1424
disaster damage assessment 
1424
disaster damage assessment 
            
1425
9\u751f\u9577\u9006\u5883\u6307\u6a19\u8207\u707d\u640d\u76e3\u6e2c)",
1425
9\u751f\u9577\u9006\u5883\u6307\u6a19\u8207\u707d\u640d\u76e3\u6e2c)",
            
1426
    "type": "organization"
1426
    "type": "organization"
            
1427
  },
1427
  },
            
1428
  "owner_org": "896d404d-e1d3-4ad9-900d-750d3747c119",
1428
  "owner_org": "896d404d-e1d3-4ad9-900d-750d3747c119",
            
1429
  "private": false,
1429
  "private": false,
            
1430
  "relationships_as_object": [],
1430
  "relationships_as_object": [],
            
1431
  "relationships_as_subject": [],
1431
  "relationships_as_subject": [],
            
1432
  "resources": [
1432
  "resources": [
            
1433
    {
1433
    {
            
1434
      "cache_last_updated": null,
1434
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1435
      "cache_url": null,
1435
      "cache_url": null,
            
1436
      "created": "2026-10-22T02:50:16.719840",
1436
      "created": "2026-10-22T02:50:16.719840",
            
1437
      "description": "** \u4e2d\u6587\uff1a 
1437
      "description": "** \u4e2d\u6587\uff1a 
            
1438
6b0a\u689d\u6b3e\u6587\u4ef6\u3002\u672c\u8cc7\u6599\u96c6\uff08\u542b 
1438
6b0a\u689d\u6b3e\u6587\u4ef6\u3002\u672c\u8cc7\u6599\u96c6\uff08\u542b 
            
1439
HDF5 
1439
HDF5 
            
1440
906e\u7f69\u8207\u8a6e\u91cb\u8cc7\u6599\uff09\u4ee5\u300c\u5275\u7528 
1440
906e\u7f69\u8207\u8a6e\u91cb\u8cc7\u6599\uff09\u4ee5\u300c\u5275\u7528 
            
1441
CC \u59d3\u540d\u6a19\u793a 4.0 \u570b\u969b\u300d\uff08CC BY 
1441
CC \u59d3\u540d\u6a19\u793a 4.0 \u570b\u969b\u300d\uff08CC BY 
            
1442
6a94\u6848\u5167\u542b\u4e2d\u82f1\u6587\u6388\u6b0a\u6458\u8981\u8207 
1442
6a94\u6848\u5167\u542b\u4e2d\u82f1\u6587\u6388\u6b0a\u6458\u8981\u8207 
            
1443
CC BY 4.0 \u5b8c\u6574\u6cd5\u5f8b\u689d\u6587\u3002\r\n\r\n** 
1443
CC BY 4.0 \u5b8c\u6574\u6cd5\u5f8b\u689d\u6587\u3002\r\n\r\n** 
            
1444
English: **\r\n\r\n>License file for this dataset. The dataset, 
1444
English: **\r\n\r\n>License file for this dataset. The dataset, 
            
1445
including the images, annotation masks and metadata in the HDF5 files, 
1445
including the images, annotation masks and metadata in the HDF5 files, 
            
1446
is released under the Creative Commons Attribution 4.0 International 
1446
is released under the Creative Commons Attribution 4.0 International 
            
1447
License (CC BY 4.0). Copyright is held by Hsin-Hung Tseng and Ming-Der 
1447
License (CC BY 4.0). Copyright is held by Hsin-Hung Tseng and Ming-Der 
            
1448
Yang, Department of Civil Engineering, National Chung Hsing 
1448
Yang, Department of Civil Engineering, National Chung Hsing 
            
1449
University. You may share, adapt and redistribute the dataset for any 
1449
University. You may share, adapt and redistribute the dataset for any 
            
1450
purpose, including commercial use, as long as you give appropriate 
1450
purpose, including commercial use, as long as you give appropriate 
            
1451
credit, link to the license and indicate any changes. The file 
1451
credit, link to the license and indicate any changes. The file 
            
1452
includes a bilingual (Chinese/English) summary and the full CC BY 4.0 
1452
includes a bilingual (Chinese/English) summary and the full CC BY 4.0 
            
1453
legal code.",
1453
legal code.",
            
1454
      "format": "",
1454
      "format": "",
            
1455
      "hash": "",
1455
      "hash": "",
            
1456
      "id": "4da2c78a-f8ff-4674-baf6-43f65f9a4cce",
1456
      "id": "4da2c78a-f8ff-4674-baf6-43f65f9a4cce",
            
1457
      "keyword": "",
1457
      "keyword": "",
            
1458
      "last_modified": "2026-10-22T02:50:16.457950",
1458
      "last_modified": "2026-10-22T02:50:16.457950",
            
1459
      "metadata_modified": "2026-10-22T02:50:16.688897",
1459
      "metadata_modified": "2026-10-22T02:50:16.688897",
            
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      "mimetype_inner": null,
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      "mimetype_inner": null,
            
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      "name": "LICENSE",
1462
      "name": "LICENSE",
            
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      "nchu_ddl_resource_filetype": "\u6587\u5b57\u6a94\u6848",
1463
      "nchu_ddl_resource_filetype": "\u6587\u5b57\u6a94\u6848",
            
1464
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
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      "size": 20491,
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1468
      "state": "active",
1468
      "state": "active",
            
1469
      "url": 
1469
      "url": 
            
1470
6e4bf/resource/4da2c78a-f8ff-4674-baf6-43f65f9a4cce/download/license",
1470
6e4bf/resource/4da2c78a-f8ff-4674-baf6-43f65f9a4cce/download/license",
            
1471
      "url_type": "upload"
1471
      "url_type": "upload"
            
1472
    },
1472
    },
            
1473
    {
1473
    {
            
1474
      "cache_last_updated": null,
1474
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1475
      "cache_url": null,
1475
      "cache_url": null,
            
1476
      "created": "2026-10-22T02:48:08.996475",
1476
      "created": "2026-10-22T02:48:08.996475",
            
1477
      "description": "** \u4e2d\u6587\uff1a 
1477
      "description": "** \u4e2d\u6587\uff1a 
            
1478
2c\u8cc7\u6599\u96c6\u4e4b\u5f15\u7528\u8cc7\u8a0a\u6a94\uff08Citation 
1478
2c\u8cc7\u6599\u96c6\u4e4b\u5f15\u7528\u8cc7\u8a0a\u6a94\uff08Citation 
            
1479
File Format 1.2.0 
1479
File Format 1.2.0 
            
1480
c6\u7de8\u865f\u8207\u7db2\u5740\u3001\u6388\u6b0a\u689d\u6b3e\uff08CC 
1480
c6\u7de8\u865f\u8207\u7db2\u5740\u3001\u6388\u6b0a\u689d\u6b3e\uff08CC 
            
1481
BY 
1481
BY 
            
1482
u53ca\u5efa\u8b70\u5f15\u7528\u4e4b\u671f\u520a\u8ad6\u6587\uff1aYang, 
1482
u53ca\u5efa\u8b70\u5f15\u7528\u4e4b\u671f\u520a\u8ad6\u6587\uff1aYang, 
            
1483
M.-D., & Tseng, H.-H. (2025). Rule-Based Multi-Task Deep Learning for 
1483
M.-D., & Tseng, H.-H. (2025). Rule-Based Multi-Task Deep Learning for 
            
1484
Highly Efficient Rice Lodging Segmentation. Remote Sensing, 17(9), 
1484
Highly Efficient Rice Lodging Segmentation. Remote Sensing, 17(9), 
            
1485
1505. 
1485
1505. 
            
1486
6599\u96c6\u8207\u4e0a\u8ff0\u8ad6\u6587\u3002\u6b64\u6a94\u53ef\u7531 
1486
6599\u96c6\u8207\u4e0a\u8ff0\u8ad6\u6587\u3002\u6b64\u6a94\u53ef\u7531 
            
1487
GitHub\u3001Zenodo \u53ca Zotero 
1487
GitHub\u3001Zenodo \u53ca Zotero 
            
1488
\u7b49\u5de5\u5177\u81ea\u52d5\u8b80\u53d6\uff0c\u4e26\u8f49\u6210 
1488
\u7b49\u5de5\u5177\u81ea\u52d5\u8b80\u53d6\uff0c\u4e26\u8f49\u6210 
            
1489
APA\u3001BibTeX \u7b49\u683c\u5f0f\u3002\r\n\r\n** English: 
1489
APA\u3001BibTeX \u7b49\u683c\u5f0f\u3002\r\n\r\n** English: 
            
1490
**\r\n\r\n>Citation metadata for this dataset in Citation File Format 
1490
**\r\n\r\n>Citation metadata for this dataset in Citation File Format 
            
1491
(CFF 1.2.0). It lists the dataset title, authors (Hsin-Hung Tseng and 
1491
(CFF 1.2.0). It lists the dataset title, authors (Hsin-Hung Tseng and 
            
1492
Ming-Der Yang), affiliation, dataset ID and URL, license (CC BY 4.0), 
1492
Ming-Der Yang), affiliation, dataset ID and URL, license (CC BY 4.0), 
            
1493
and the preferred article citation: Yang, M.-D., & Tseng, H.-H. 
1493
and the preferred article citation: Yang, M.-D., & Tseng, H.-H. 
            
1494
(2025). Rule-Based Multi-Task Deep Learning for Highly Efficient Rice 
1494
(2025). Rule-Based Multi-Task Deep Learning for Highly Efficient Rice 
            
1495
Lodging Segmentation. Remote Sensing, 17(9), 1505. 
1495
Lodging Segmentation. Remote Sensing, 17(9), 1505. 
            
1496
https://doi.org/10.3390/rs17091505. If you use this dataset in 
1496
https://doi.org/10.3390/rs17091505. If you use this dataset in 
            
1497
published work, please cite both the dataset and this article. Tools 
1497
published work, please cite both the dataset and this article. Tools 
            
1498
such as GitHub, Zenodo and Zotero can read this file automatically and 
1498
such as GitHub, Zenodo and Zotero can read this file automatically and 
            
1499
convert it to APA, BibTeX and other formats.",
1499
convert it to APA, BibTeX and other formats.",
            
1500
      "format": "cff",
1500
      "format": "cff",
            
1501
      "hash": "",
1501
      "hash": "",
            
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      "id": "230e53bc-21b9-4de5-b6cd-0e3a3284627b",
1502
      "id": "230e53bc-21b9-4de5-b6cd-0e3a3284627b",
            
1503
      "keyword": "",
1503
      "keyword": "",
            
1504
      "last_modified": "2026-10-22T02:48:08.717685",
1504
      "last_modified": "2026-10-22T02:48:08.717685",
            
1505
      "metadata_modified": "2026-10-22T02:50:49.325713",
1505
      "metadata_modified": "2026-10-22T02:50:49.325713",
            
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      "mimetype": null,
1506
      "mimetype": null,
            
1507
      "mimetype_inner": null,
1507
      "mimetype_inner": null,
            
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      "name": "CITATION.cff",
1508
      "name": "CITATION.cff",
            
1509
      "nchu_ddl_resource_filetype": "\u6587\u5b57\u6a94\u6848",
1509
      "nchu_ddl_resource_filetype": "\u6587\u5b57\u6a94\u6848",
            
1510
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
1510
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
1511
      "position": 1,
1511
      "position": 1,
            
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      "resource_type": null,
1512
      "resource_type": null,
            
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      "size": 2711,
1513
      "size": 2711,
            
1514
      "state": "active",
1514
      "state": "active",
            
1515
      "url": 
1515
      "url": 
            
1516
/resource/230e53bc-21b9-4de5-b6cd-0e3a3284627b/download/citation.cff",
1516
/resource/230e53bc-21b9-4de5-b6cd-0e3a3284627b/download/citation.cff",
            
1517
      "url_type": "upload"
1517
      "url_type": "upload"
            
1518
    },
1518
    },
            
1519
    {
1519
    {
            
1520
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1520
      "cache_last_updated": null,
            
1521
      "cache_url": null,
1521
      "cache_url": null,
            
1522
      "created": "2026-10-14T02:49:51.728120",
1522
      "created": "2026-10-14T02:49:51.728120",
            
1523
      "description": "## 
1523
      "description": "## 
            
1524
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
1524
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
            
1525
**ricelodging_2019_trainval_512px_4288samples.h5**\r\n  * 
1525
**ricelodging_2019_trainval_512px_4288samples.h5**\r\n  * 
            
1526
\u52d9\u578b\u614b\uff1a\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\r\n  
1526
\u52d9\u578b\u614b\uff1a\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\r\n  
            
1527
* \u8cc7\u6599\u5207\u5206\uff1a\u8a13\u7df4\uff0f\u9a57\u8b49\r\n  * 
1527
* \u8cc7\u6599\u5207\u5206\uff1a\u8a13\u7df4\uff0f\u9a57\u8b49\r\n  * 
            
1528
\u4f86\u6e90\u5340\u584a\u6578\uff1a67 \u5e45\uff1b\u5716\u78da\u6578 
1528
\u4f86\u6e90\u5340\u584a\u6578\uff1a67 \u5e45\uff1b\u5716\u78da\u6578 
            
1529
N\uff1a4,288 \u5f35\r\n  * \u5305\u542b\u4e4b 
1529
N\uff1a4,288 \u5f35\r\n  * \u5305\u542b\u4e4b 
            
1530
dataset\uff1aimages\u3001masks\u3001filenames\r\n  * 
1530
dataset\uff1aimages\u3001masks\u3001filenames\r\n  * 
            
1531
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 2.70 
1531
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 2.70 
            
1532
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
1532
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
            
1533
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
1533
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
            
1534
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
1534
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
            
1535
`images`\u3001`masks`\u3001`filenames` 
1535
`images`\u3001`masks`\u3001`filenames` 
            
1536
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
1536
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
            
1537
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
1537
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
            
1538
\u8f49\u63db\u800c\u4f86\u4e4b 
1538
\u8f49\u63db\u800c\u4f86\u4e4b 
            
1539
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
1539
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
            
1540
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
1540
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
            
1541
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
1541
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
            
1542
8.1 GB\uff08\u7d04 7.6 
1542
8.1 GB\uff08\u7d04 7.6 
            
1543
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
1543
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
            
1544
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
1544
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
            
1545
4096\u00d74096 
1545
4096\u00d74096 
            
1546
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1546
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1547
64 
1547
64 
            
1548
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
1548
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
            
1549
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
1549
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
            
1550
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
1550
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
            
1551
trainval 
1551
trainval 
            
1552
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
1552
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
            
1553
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
1553
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
            
1554
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
1554
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
            
1555
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
1555
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
            
1556
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
1556
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
            
1557
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
1557
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
            
1558
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
1558
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
            
1559
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
1559
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
            
1560
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
1560
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
            
1561
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
1561
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
            
1562
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
1562
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
            
1563
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
1563
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
            
1564
{0, 1, 2, 3, 4, 
1564
{0, 1, 2, 3, 4, 
            
1565
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
1565
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
            
1566
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
1566
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
            
1567
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
1567
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
            
1568
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
1568
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
            
1569
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
1569
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
            
1570
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
1570
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
            
1571
`images`\u3001`masks` 
1571
`images`\u3001`masks` 
            
1572
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
1572
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
            
1573
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
1573
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
            
1574
2176\uff09\u3002\r\n* 
1574
2176\uff09\u3002\r\n* 
            
1575
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
1575
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
            
1576
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
1576
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
            
1577
+ 
1577
+ 
            
1578
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
1578
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
            
1579
MTL \u7248\u53e6\u6709 
1579
MTL \u7248\u53e6\u6709 
            
1580
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
1580
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
            
1581
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
1581
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
            
1582
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
1582
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
            
1583
`filenames` \u683c\u5f0f\u70ba 
1583
`filenames` \u683c\u5f0f\u70ba 
            
1584
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
1584
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
            
1585
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
1585
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
            
1586
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
1586
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
            
1587
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
1587
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
            
1588
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
1588
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
            
1589
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1589
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1590
64 
1590
64 
            
1591
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
1591
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
            
1592
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
1592
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
            
1593
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
1593
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
            
1594
\u7b46\u9084\u539f 4096\u00d74096 
1594
\u7b46\u9084\u539f 4096\u00d74096 
            
1595
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
1595
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
            
1596
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
1596
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
            
1597
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
1597
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
            
1598
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
1598
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
            
1599
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
1599
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
            
1600
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
1600
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
            
1601
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
1601
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
            
1602
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
1602
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
            
1603
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
1603
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
            
1604
paddy\uff09\r\n* \u985e\u5225 
1604
paddy\uff09\r\n* \u985e\u5225 
            
1605
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
1605
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
            
1606
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
1606
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
            
1607
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
1607
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
            
1608
4. 
1608
4. 
            
1609
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
1609
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
            
1610
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
1610
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
            
1611
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
1611
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
            
1612
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
1612
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
            
1613
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
1613
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
            
1614
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
1614
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
            
1615
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
1615
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
            
1616
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
1616
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
            
1617
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
1617
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
            
1618
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
1618
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
            
1619
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
1619
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
            
1620
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
1620
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
            
1621
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
1621
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
            
1622
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
1622
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
            
1623
Focal\uff0fDice 
1623
Focal\uff0fDice 
            
1624
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
1624
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
            
1625
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
1625
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
            
1626
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
1626
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
            
1627
`ricelodging_2019_trainval_512px_4288samples.h5` 
1627
`ricelodging_2019_trainval_512px_4288samples.h5` 
            
1628
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
1628
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
            
1629
`ricelodging_2019_test_512px_2176samples.h5` 
1629
`ricelodging_2019_test_512px_2176samples.h5` 
            
1630
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
1630
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
            
1631
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
1631
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
            
1632
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
1632
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
            
1633
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
1633
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
            
1634
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
1634
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
            
1635
MTL 
1635
MTL 
            
1636
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
1636
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
            
1637
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
1637
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
            
1638
h5py 
1638
h5py 
            
1639
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
1639
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
            
1640
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
1640
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
            
1641
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
1641
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
            
1642
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
1642
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
            
1643
\u8b80\u53d6\u7b2c i 
1643
\u8b80\u53d6\u7b2c i 
            
1644
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1644
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1645
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
1645
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
            
1646
\u8b80\u53d6\u7b2c i 
1646
\u8b80\u53d6\u7b2c i 
            
1647
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1647
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1648
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
1648
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
            
1649
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
1649
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
            
1650
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
1650
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
            
1651
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1651
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1652
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
1652
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
            
1653
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
1653
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
            
1654
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
1654
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
            
1655
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
1655
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
            
1656
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
1656
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
            
1657
\u6a19\u7c64 255 
1657
\u6a19\u7c64 255 
            
1658
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
1658
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
            
1659
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
1659
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
            
1660
\u5f71\u50cf\u70ba 0~255 \u4e4b 
1660
\u5f71\u50cf\u70ba 0~255 \u4e4b 
            
1661
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
1661
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
            
1662
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
1662
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
            
1663
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
1663
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
            
1664
1]\u3002\r\n* 
1664
1]\u3002\r\n* 
            
1665
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
1665
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
            
1666
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
1666
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
            
1667
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
1667
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
            
1668
worker \u5167\u5ef6\u9072\u958b\u555f h5 
1668
worker \u5167\u5ef6\u9072\u958b\u555f h5 
            
1669
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
1669
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
            
1670
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
1670
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
            
1671
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
1671
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
            
1672
2019/train-val/{image,annotation} \u8207 
1672
2019/train-val/{image,annotation} \u8207 
            
1673
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
1673
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
            
1674
TIFF\u3001\u6a19\u8a3b\u70ba 
1674
TIFF\u3001\u6a19\u8a3b\u70ba 
            
1675
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
1675
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
            
1676
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
1676
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
            
1677
datasets_segmentation.py 
1677
datasets_segmentation.py 
            
1678
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
1678
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
            
1679
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
1679
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
            
1680
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
1680
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
            
1681
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
1681
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
            
1682
--image_dir 2019/train-val/image\r\n* --annotation_dir 
1682
--image_dir 2019/train-val/image\r\n* --annotation_dir 
            
1683
2019/train-val/annotation\r\n* --output_h5 
1683
2019/train-val/annotation\r\n* --output_h5 
            
1684
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
1684
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
            
1685
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
1685
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
            
1686
      "format": "HDF5",
1686
      "format": "HDF5",
            
1687
      "hash": "",
1687
      "hash": "",
            
1688
      "id": "3596a16f-9129-4886-be01-35a6f8ac66fe",
1688
      "id": "3596a16f-9129-4886-be01-35a6f8ac66fe",
            
1689
      "keyword": "",
1689
      "keyword": "",
            
1690
      "last_modified": null,
1690
      "last_modified": null,
            
1691
      "metadata_modified": "2026-10-22T14:57:49.757445",
1691
      "metadata_modified": "2026-10-22T14:57:49.757445",
            
1692
      "mimetype": null,
1692
      "mimetype": null,
            
1693
      "mimetype_inner": null,
1693
      "mimetype_inner": null,
            
1694
      "name": "ricelodging_2019_trainval_512px_4288samples.h5",
1694
      "name": "ricelodging_2019_trainval_512px_4288samples.h5",
            
1695
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
1695
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
            
1696
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
1696
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
1697
      "position": 2,
1697
      "position": 2,
            
1698
      "resource_type": null,
1698
      "resource_type": null,
            
1699
      "size": null,
1699
      "size": null,
            
1700
      "state": "active",
1700
      "state": "active",
            
1701
      "url": 
1701
      "url": 
            
1702
d/RiceLodging/Dataset/ricelodging_2019_trainval_512px_4288samples.h5",
1702
d/RiceLodging/Dataset/ricelodging_2019_trainval_512px_4288samples.h5",
            
1703
      "url_type": null
1703
      "url_type": null
            
1704
    },
1704
    },
            
1705
    {
1705
    {
            
1706
      "cache_last_updated": null,
1706
      "cache_last_updated": null,
            
1707
      "cache_url": null,
1707
      "cache_url": null,
            
1708
      "created": "2026-10-14T02:49:53.959260",
1708
      "created": "2026-10-14T02:49:53.959260",
            
1709
      "description": "## 
1709
      "description": "## 
            
1710
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
1710
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
            
1711
**ricelodging_2019_test_512px_2176samples.h5**\r\n  * 
1711
**ricelodging_2019_test_512px_2176samples.h5**\r\n  * 
            
1712
\u52d9\u578b\u614b\uff1a\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\r\n  
1712
\u52d9\u578b\u614b\uff1a\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\r\n  
            
1713
* \u8cc7\u6599\u5207\u5206\uff1a\u6e2c\u8a66\r\n  * 
1713
* \u8cc7\u6599\u5207\u5206\uff1a\u6e2c\u8a66\r\n  * 
            
1714
\u4f86\u6e90\u5340\u584a\u6578\uff1a34 \u5e45\uff1b\u5716\u78da\u6578 
1714
\u4f86\u6e90\u5340\u584a\u6578\uff1a34 \u5e45\uff1b\u5716\u78da\u6578 
            
1715
N\uff1a2,176 \u5f35\r\n  * \u5305\u542b\u4e4b 
1715
N\uff1a2,176 \u5f35\r\n  * \u5305\u542b\u4e4b 
            
1716
dataset\uff1aimages\u3001masks\u3001filenames\r\n  * 
1716
dataset\uff1aimages\u3001masks\u3001filenames\r\n  * 
            
1717
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 1.36 
1717
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 1.36 
            
1718
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
1718
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
            
1719
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
1719
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
            
1720
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
1720
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
            
1721
`images`\u3001`masks`\u3001`filenames` 
1721
`images`\u3001`masks`\u3001`filenames` 
            
1722
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
1722
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
            
1723
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
1723
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
            
1724
\u8f49\u63db\u800c\u4f86\u4e4b 
1724
\u8f49\u63db\u800c\u4f86\u4e4b 
            
1725
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
1725
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
            
1726
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
1726
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
            
1727
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
1727
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
            
1728
8.1 GB\uff08\u7d04 7.6 
1728
8.1 GB\uff08\u7d04 7.6 
            
1729
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
1729
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
            
1730
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
1730
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
            
1731
4096\u00d74096 
1731
4096\u00d74096 
            
1732
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1732
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1733
64 
1733
64 
            
1734
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
1734
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
            
1735
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
1735
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
            
1736
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
1736
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
            
1737
trainval 
1737
trainval 
            
1738
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
1738
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
            
1739
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
1739
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
            
1740
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
1740
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
            
1741
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
1741
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
            
1742
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
1742
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
            
1743
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
1743
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
            
1744
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
1744
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
            
1745
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
1745
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
            
1746
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
1746
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
            
1747
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
1747
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
            
1748
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
1748
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
            
1749
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
1749
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
            
1750
{0, 1, 2, 3, 4, 
1750
{0, 1, 2, 3, 4, 
            
1751
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
1751
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
            
1752
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
1752
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
            
1753
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
1753
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
            
1754
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
1754
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
            
1755
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
1755
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
            
1756
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
1756
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
            
1757
`images`\u3001`masks` 
1757
`images`\u3001`masks` 
            
1758
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
1758
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
            
1759
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
1759
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
            
1760
2176\uff09\u3002\r\n* 
1760
2176\uff09\u3002\r\n* 
            
1761
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
1761
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
            
1762
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
1762
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
            
1763
+ 
1763
+ 
            
1764
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
1764
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
            
1765
MTL \u7248\u53e6\u6709 
1765
MTL \u7248\u53e6\u6709 
            
1766
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
1766
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
            
1767
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
1767
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
            
1768
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
1768
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
            
1769
`filenames` \u683c\u5f0f\u70ba 
1769
`filenames` \u683c\u5f0f\u70ba 
            
1770
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
1770
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
            
1771
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
1771
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
            
1772
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
1772
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
            
1773
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
1773
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
            
1774
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
1774
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
            
1775
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1775
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1776
64 
1776
64 
            
1777
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
1777
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
            
1778
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
1778
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
            
1779
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
1779
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
            
1780
\u7b46\u9084\u539f 4096\u00d74096 
1780
\u7b46\u9084\u539f 4096\u00d74096 
            
1781
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
1781
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
            
1782
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
1782
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
            
1783
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
1783
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
            
1784
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
1784
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
            
1785
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
1785
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
            
1786
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
1786
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
            
1787
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
1787
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
            
1788
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
1788
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
            
1789
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
1789
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
            
1790
paddy\uff09\r\n* \u985e\u5225 
1790
paddy\uff09\r\n* \u985e\u5225 
            
1791
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
1791
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
            
1792
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
1792
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
            
1793
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
1793
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
            
1794
4. 
1794
4. 
            
1795
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
1795
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
            
1796
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
1796
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
            
1797
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
1797
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
            
1798
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
1798
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
            
1799
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
1799
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
            
1800
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
1800
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
            
1801
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
1801
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
            
1802
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
1802
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
            
1803
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
1803
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
            
1804
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
1804
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
            
1805
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
1805
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
            
1806
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
1806
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
            
1807
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
1807
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
            
1808
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
1808
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
            
1809
Focal\uff0fDice 
1809
Focal\uff0fDice 
            
1810
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
1810
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
            
1811
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
1811
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
            
1812
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
1812
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
            
1813
`ricelodging_2019_trainval_512px_4288samples.h5` 
1813
`ricelodging_2019_trainval_512px_4288samples.h5` 
            
1814
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
1814
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
            
1815
`ricelodging_2019_test_512px_2176samples.h5` 
1815
`ricelodging_2019_test_512px_2176samples.h5` 
            
1816
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
1816
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
            
1817
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
1817
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
            
1818
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
1818
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
            
1819
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
1819
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
            
1820
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
1820
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
            
1821
MTL 
1821
MTL 
            
1822
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
1822
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
            
1823
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
1823
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
            
1824
h5py 
1824
h5py 
            
1825
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
1825
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
            
1826
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
1826
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
            
1827
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
1827
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
            
1828
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
1828
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
            
1829
\u8b80\u53d6\u7b2c i 
1829
\u8b80\u53d6\u7b2c i 
            
1830
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1830
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1831
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
1831
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
            
1832
\u8b80\u53d6\u7b2c i 
1832
\u8b80\u53d6\u7b2c i 
            
1833
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1833
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1834
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
1834
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
            
1835
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
1835
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
            
1836
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
1836
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
            
1837
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
1837
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
1838
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
1838
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
            
1839
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
1839
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
            
1840
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
1840
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
            
1841
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
1841
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
            
1842
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
1842
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
            
1843
\u6a19\u7c64 255 
1843
\u6a19\u7c64 255 
            
1844
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
1844
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
            
1845
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
1845
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
            
1846
\u5f71\u50cf\u70ba 0~255 \u4e4b 
1846
\u5f71\u50cf\u70ba 0~255 \u4e4b 
            
1847
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
1847
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
            
1848
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
1848
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
            
1849
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
1849
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
            
1850
1]\u3002\r\n* 
1850
1]\u3002\r\n* 
            
1851
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
1851
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
            
1852
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
1852
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
            
1853
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
1853
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
            
1854
worker \u5167\u5ef6\u9072\u958b\u555f h5 
1854
worker \u5167\u5ef6\u9072\u958b\u555f h5 
            
1855
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
1855
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
            
1856
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
1856
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
            
1857
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
1857
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
            
1858
2019/train-val/{image,annotation} \u8207 
1858
2019/train-val/{image,annotation} \u8207 
            
1859
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
1859
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
            
1860
TIFF\u3001\u6a19\u8a3b\u70ba 
1860
TIFF\u3001\u6a19\u8a3b\u70ba 
            
1861
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
1861
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
            
1862
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
1862
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
            
1863
datasets_segmentation.py 
1863
datasets_segmentation.py 
            
1864
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
1864
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
            
1865
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
1865
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
            
1866
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
1866
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
            
1867
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
1867
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
            
1868
--image_dir 2019/train-val/image\r\n* --annotation_dir 
1868
--image_dir 2019/train-val/image\r\n* --annotation_dir 
            
1869
2019/train-val/annotation\r\n* --output_h5 
1869
2019/train-val/annotation\r\n* --output_h5 
            
1870
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
1870
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
            
1871
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
1871
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
            
1872
      "format": "HDF5",
1872
      "format": "HDF5",
            
1873
      "hash": "",
1873
      "hash": "",
            
1874
      "id": "184c25c9-1d3c-4494-b876-cb65cef7b40d",
1874
      "id": "184c25c9-1d3c-4494-b876-cb65cef7b40d",
            
1875
      "keyword": "",
1875
      "keyword": "",
            
1876
      "last_modified": null,
1876
      "last_modified": null,
            
1877
      "metadata_modified": "2026-10-22T14:58:16.030064",
1877
      "metadata_modified": "2026-10-22T14:58:16.030064",
            
1878
      "mimetype": null,
1878
      "mimetype": null,
            
1879
      "mimetype_inner": null,
1879
      "mimetype_inner": null,
            
1880
      "name": "ricelodging_2019_test_512px_2176samples.h5",
1880
      "name": "ricelodging_2019_test_512px_2176samples.h5",
            
1881
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
1881
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
            
1882
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
1882
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
1883
      "position": 3,
1883
      "position": 3,
            
1884
      "resource_type": null,
1884
      "resource_type": null,
            
1885
      "size": null,
1885
      "size": null,
            
1886
      "state": "active",
1886
      "state": "active",
            
1887
      "url": 
1887
      "url": 
            
1888
pload/RiceLodging/Dataset/ricelodging_2019_test_512px_2176samples.h5",
1888
pload/RiceLodging/Dataset/ricelodging_2019_test_512px_2176samples.h5",
            
1889
      "url_type": null
1889
      "url_type": null
            
1890
    },
1890
    },
            
1891
    {
1891
    {
            
1892
      "cache_last_updated": null,
1892
      "cache_last_updated": null,
            
1893
      "cache_url": null,
1893
      "cache_url": null,
            
1894
      "created": "2026-10-14T02:49:52.824157",
1894
      "created": "2026-10-14T02:49:52.824157",
            
1895
      "description": "## 
1895
      "description": "## 
            
1896
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
1896
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
            
1897
**ricelodging-mtl_2019_trainval_512px_4288samples.h5**\r\n  * 
1897
**ricelodging-mtl_2019_trainval_512px_4288samples.h5**\r\n  * 
            
1898
\u4efb\u52d9\u578b\u614b\uff1a\u591a\u4efb\u52d9\uff08MTL\uff09\r\n  * 
1898
\u4efb\u52d9\u578b\u614b\uff1a\u591a\u4efb\u52d9\uff08MTL\uff09\r\n  * 
            
1899
\u8cc7\u6599\u5207\u5206\uff1a\u8a13\u7df4\uff0f\u9a57\u8b49\r\n  * 
1899
\u8cc7\u6599\u5207\u5206\uff1a\u8a13\u7df4\uff0f\u9a57\u8b49\r\n  * 
            
1900
\u4f86\u6e90\u5340\u584a\u6578\uff1a67 \u5e45\uff1b\u5716\u78da\u6578 
1900
\u4f86\u6e90\u5340\u584a\u6578\uff1a67 \u5e45\uff1b\u5716\u78da\u6578 
            
1901
N\uff1a4,288 \u5f35\r\n  * \u5305\u542b\u4e4b 
1901
N\uff1a4,288 \u5f35\r\n  * \u5305\u542b\u4e4b 
            
1902
dataset\uff1aimages\u3001masks\u3001masks_paddy\u3001filenames\r\n  * 
1902
dataset\uff1aimages\u3001masks\u3001masks_paddy\u3001filenames\r\n  * 
            
1903
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 2.70 
1903
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 2.70 
            
1904
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
1904
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
            
1905
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
1905
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
            
1906
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
1906
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
            
1907
`images`\u3001`masks`\u3001`filenames` 
1907
`images`\u3001`masks`\u3001`filenames` 
            
1908
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
1908
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
            
1909
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
1909
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
            
1910
\u8f49\u63db\u800c\u4f86\u4e4b 
1910
\u8f49\u63db\u800c\u4f86\u4e4b 
            
1911
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
1911
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
            
1912
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
1912
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
            
1913
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
1913
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
            
1914
8.1 GB\uff08\u7d04 7.6 
1914
8.1 GB\uff08\u7d04 7.6 
            
1915
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
1915
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
            
1916
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
1916
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
            
1917
4096\u00d74096 
1917
4096\u00d74096 
            
1918
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1918
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1919
64 
1919
64 
            
1920
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
1920
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
            
1921
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
1921
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
            
1922
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
1922
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
            
1923
trainval 
1923
trainval 
            
1924
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
1924
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
            
1925
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
1925
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
            
1926
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
1926
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
            
1927
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
1927
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
            
1928
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
1928
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
            
1929
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
1929
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
            
1930
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
1930
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
            
1931
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
1931
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
            
1932
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
1932
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
            
1933
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
1933
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
            
1934
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
1934
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
            
1935
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
1935
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
            
1936
{0, 1, 2, 3, 4, 
1936
{0, 1, 2, 3, 4, 
            
1937
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
1937
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
            
1938
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
1938
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
            
1939
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
1939
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
            
1940
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
1940
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
            
1941
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
1941
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
            
1942
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
1942
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
            
1943
`images`\u3001`masks` 
1943
`images`\u3001`masks` 
            
1944
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
1944
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
            
1945
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
1945
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
            
1946
2176\uff09\u3002\r\n* 
1946
2176\uff09\u3002\r\n* 
            
1947
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
1947
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
            
1948
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
1948
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
            
1949
+ 
1949
+ 
            
1950
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
1950
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
            
1951
MTL \u7248\u53e6\u6709 
1951
MTL \u7248\u53e6\u6709 
            
1952
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
1952
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
            
1953
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
1953
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
            
1954
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
1954
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
            
1955
`filenames` \u683c\u5f0f\u70ba 
1955
`filenames` \u683c\u5f0f\u70ba 
            
1956
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
1956
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
            
1957
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
1957
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
            
1958
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
1958
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
            
1959
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
1959
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
            
1960
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
1960
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
            
1961
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
1961
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
1962
64 
1962
64 
            
1963
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
1963
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
            
1964
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
1964
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
            
1965
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
1965
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
            
1966
\u7b46\u9084\u539f 4096\u00d74096 
1966
\u7b46\u9084\u539f 4096\u00d74096 
            
1967
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
1967
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
            
1968
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
1968
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
            
1969
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
1969
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
            
1970
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
1970
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
            
1971
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
1971
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
            
1972
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
1972
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
            
1973
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
1973
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
            
1974
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
1974
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
            
1975
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
1975
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
            
1976
paddy\uff09\r\n* \u985e\u5225 
1976
paddy\uff09\r\n* \u985e\u5225 
            
1977
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
1977
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
            
1978
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
1978
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
            
1979
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
1979
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
            
1980
4. 
1980
4. 
            
1981
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
1981
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
            
1982
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
1982
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
            
1983
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
1983
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
            
1984
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
1984
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
            
1985
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
1985
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
            
1986
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
1986
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
            
1987
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
1987
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
            
1988
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
1988
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
            
1989
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
1989
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
            
1990
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
1990
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
            
1991
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
1991
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
            
1992
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
1992
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
            
1993
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
1993
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
            
1994
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
1994
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
            
1995
Focal\uff0fDice 
1995
Focal\uff0fDice 
            
1996
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
1996
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
            
1997
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
1997
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
            
1998
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
1998
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
            
1999
`ricelodging_2019_trainval_512px_4288samples.h5` 
1999
`ricelodging_2019_trainval_512px_4288samples.h5` 
            
2000
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
2000
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
            
2001
`ricelodging_2019_test_512px_2176samples.h5` 
2001
`ricelodging_2019_test_512px_2176samples.h5` 
            
2002
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
2002
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
            
2003
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
2003
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
            
2004
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
2004
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
            
2005
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
2005
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
            
2006
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
2006
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
            
2007
MTL 
2007
MTL 
            
2008
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
2008
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
            
2009
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
2009
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
            
2010
h5py 
2010
h5py 
            
2011
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
2011
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
            
2012
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
2012
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
            
2013
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
2013
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
            
2014
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
2014
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
            
2015
\u8b80\u53d6\u7b2c i 
2015
\u8b80\u53d6\u7b2c i 
            
2016
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2016
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2017
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
2017
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
            
2018
\u8b80\u53d6\u7b2c i 
2018
\u8b80\u53d6\u7b2c i 
            
2019
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2019
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2020
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
2020
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
            
2021
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
2021
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
            
2022
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
2022
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
            
2023
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2023
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2024
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
2024
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
            
2025
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
2025
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
            
2026
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
2026
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
            
2027
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
2027
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
            
2028
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
2028
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
            
2029
\u6a19\u7c64 255 
2029
\u6a19\u7c64 255 
            
2030
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
2030
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
            
2031
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
2031
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
            
2032
\u5f71\u50cf\u70ba 0~255 \u4e4b 
2032
\u5f71\u50cf\u70ba 0~255 \u4e4b 
            
2033
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
2033
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
            
2034
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
2034
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
            
2035
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
2035
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
            
2036
1]\u3002\r\n* 
2036
1]\u3002\r\n* 
            
2037
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
2037
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
            
2038
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
2038
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
            
2039
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
2039
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
            
2040
worker \u5167\u5ef6\u9072\u958b\u555f h5 
2040
worker \u5167\u5ef6\u9072\u958b\u555f h5 
            
2041
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
2041
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
            
2042
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
2042
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
            
2043
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
2043
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
            
2044
2019/train-val/{image,annotation} \u8207 
2044
2019/train-val/{image,annotation} \u8207 
            
2045
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
2045
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
            
2046
TIFF\u3001\u6a19\u8a3b\u70ba 
2046
TIFF\u3001\u6a19\u8a3b\u70ba 
            
2047
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
2047
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
            
2048
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
2048
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
            
2049
datasets_segmentation.py 
2049
datasets_segmentation.py 
            
2050
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
2050
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
            
2051
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
2051
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
            
2052
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
2052
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
            
2053
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
2053
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
            
2054
--image_dir 2019/train-val/image\r\n* --annotation_dir 
2054
--image_dir 2019/train-val/image\r\n* --annotation_dir 
            
2055
2019/train-val/annotation\r\n* --output_h5 
2055
2019/train-val/annotation\r\n* --output_h5 
            
2056
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
2056
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
            
2057
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
2057
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
            
2058
      "format": "HDF5",
2058
      "format": "HDF5",
            
2059
      "hash": "",
2059
      "hash": "",
            
2060
      "id": "1567098c-063b-4594-a622-18ff924c8dfb",
2060
      "id": "1567098c-063b-4594-a622-18ff924c8dfb",
            
2061
      "keyword": "",
2061
      "keyword": "",
            
2062
      "last_modified": null,
2062
      "last_modified": null,
            
n
2063
      "metadata_modified": "2026-10-14T03:19:07.937917",
n
2063
      "metadata_modified": "2026-10-22T14:58:36.825962",
            
2064
      "mimetype": null,
2064
      "mimetype": null,
            
2065
      "mimetype_inner": null,
2065
      "mimetype_inner": null,
            
2066
      "name": "ricelodging-mtl_2019_trainval_512px_4288samples.h5",
2066
      "name": "ricelodging-mtl_2019_trainval_512px_4288samples.h5",
            
2067
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
2067
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
            
2068
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
2068
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
2069
      "position": 4,
2069
      "position": 4,
            
2070
      "resource_type": null,
2070
      "resource_type": null,
            
2071
      "size": null,
2071
      "size": null,
            
2072
      "state": "active",
2072
      "state": "active",
            
2073
      "url": 
2073
      "url": 
            
t
2074
2a8c7c69c2/upload/ricelodging-mtl_2019_trainval_512px_4288samples.h5",
t
2074
ceLodging/Dataset/ricelodging-mtl_2019_trainval_512px_4288samples.h5",
            
2075
      "url_type": null
2075
      "url_type": null
            
2076
    },
2076
    },
            
2077
    {
2077
    {
            
2078
      "cache_last_updated": null,
2078
      "cache_last_updated": null,
            
2079
      "cache_url": null,
2079
      "cache_url": null,
            
2080
      "created": "2026-10-14T02:49:50.590772",
2080
      "created": "2026-10-14T02:49:50.590772",
            
2081
      "description": "## 
2081
      "description": "## 
            
2082
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
2082
\u8cc7\u6599\u96c6\u6a94\u6848\u8aaa\u660e\uff08HDF5\uff09\r\n\r\n### 
            
2083
**ricelodging-mtl_2019_test_512px_2176samples.h5**  \r\n* 
2083
**ricelodging-mtl_2019_test_512px_2176samples.h5**  \r\n* 
            
2084
\u4efb\u52d9\u578b\u614b\uff1a\u591a\u4efb\u52d9\uff08MTL\uff09\r\n* 
2084
\u4efb\u52d9\u578b\u614b\uff1a\u591a\u4efb\u52d9\uff08MTL\uff09\r\n* 
            
2085
\u8cc7\u6599\u5207\u5206\uff1a\u6e2c\u8a66\r\n* 
2085
\u8cc7\u6599\u5207\u5206\uff1a\u6e2c\u8a66\r\n* 
            
2086
\u4f86\u6e90\u5340\u584a\u6578\uff1a34 \u5e45\uff1b\u5716\u78da\u6578 
2086
\u4f86\u6e90\u5340\u584a\u6578\uff1a34 \u5e45\uff1b\u5716\u78da\u6578 
            
2087
N\uff1a2,176 \u5f35\r\n* \u5305\u542b\u4e4b 
2087
N\uff1a2,176 \u5f35\r\n* \u5305\u542b\u4e4b 
            
2088
dataset\uff1aimages\u3001masks\u3001masks_paddy\u3001filenames\r\n* 
2088
dataset\uff1aimages\u3001masks\u3001masks_paddy\u3001filenames\r\n* 
            
2089
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 1.36 
2089
\u6a94\u6848\u5927\u5c0f\uff1a\u7d04 1.36 
            
2090
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
2090
GB\r\n\r\n\u88dc\u5145\u8aaa\u660e\uff1a  \r\n\r\n* 
            
2091
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
2091
**\u55ae\u4efb\u52d9\u7248\u8207 MTL 
            
2092
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
2092
dc\u4fc2**\uff1a\u540c\u4e00\u5207\u5206\u4e0b\uff0c\u5169\u7248\u4e4b 
            
2093
`images`\u3001`masks`\u3001`filenames` 
2093
`images`\u3001`masks`\u3001`filenames` 
            
2094
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
2094
6\u5b8c\u5168\u76f8\u540c\uff08\u9806\u5e8f\u4e00\u81f4\uff09\uff0cMTL 
            
2095
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
2095
\u7248\u50c5\u591a\u4e00\u500b\u7531 `masks` 
            
2096
\u8f49\u63db\u800c\u4f86\u4e4b 
2096
\u8f49\u63db\u800c\u4f86\u4e4b 
            
2097
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
2097
88dd\uff0c\u64c7\u4e00\u4f7f\u7528\u5373\u53ef\uff1b\u6848\u4f8b\u6578 
            
2098
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
2098
6,464 = 4,288\uff08trainval\uff09+ 2,176\uff08test\uff09\uff0cMTL 
            
2099
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
2099
69cb\u6210\u984d\u5916\u6848\u4f8b\u3002\u56db\u6a94\u5408\u8a08\u7d04 
            
2100
8.1 GB\uff08\u7d04 7.6 
2100
8.1 GB\uff08\u7d04 7.6 
            
2101
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
2101
300c\u7e3d\u5bb9\u91cf\u300d\u6b04\u6240\u5217\u6578\u503c\uff09\u3002  
            
2102
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
2102
\r\n* **trainval \u8207 test \u4e4b\u5207\u5206**\uff1a\u4ee5 
            
2103
4096\u00d74096 
2103
4096\u00d74096 
            
2104
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
2104
ff09\u70ba\u55ae\u4f4d\u5207\u5206\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
2105
64 
2105
64 
            
2106
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
2106
3001401\u3001417\u3001457\u3001461\u3001480\u3001509\uff1b\u5176\u9918 
            
2107
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
2107
67 \u5e45\u5c6c\u65bc trainval\u3002\r\n* 
            
2108
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
2108
4e2d\u672a\u53e6\u5b58\u9a57\u8b49\u96c6\uff0c\u8a13\u7df4\u6642\u7531 
            
2109
trainval 
2109
trainval 
            
2110
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
2110
6a94\u96a8\u6a5f\u5207\u51fa\uff08\u8a13\u7df4\u7a0b\u5f0f\u9810\u8a2d 
            
2111
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
2111
`val_split=0.2`\u3001`seed=42`\uff0c\u7d04 3,430 
            
2112
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
2112
\u5f35\u8a13\u7df4\u3001858 \u5f35\u9a57\u8b49\uff09\u3002\r\n\r\n### 
            
2113
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
2113
1. HDF5 \u5167\u90e8\u7d50\u69cb\r\n\r\n\u6240\u6709 dataset 
            
2114
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
2114
\u7686\u4ee5 gzip\uff08level 4\uff09\u58d3\u7e2e\uff0cchunk 
            
2115
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
2115
\u5927\u5c0f\u70ba\u55ae\u5f35\u5716\u78da\uff08\u5982 `images` \u70ba 
            
2116
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
2116
b80\u53d6\u55ae\u7b46\u8cc7\u6599\u3002\r\n\r\nDatasets\uff1a\r\n\r\n* 
            
2117
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
2117
`images`\uff1a\u5f62\u72c0 (N, 512, 512, 
            
2118
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
2118
3)\uff0cuint8\uff1b\u53ef\u898b\u5149 RGB 
            
2119
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
2119
\u5716\u78da\uff0c\u901a\u9053\u9806\u5e8f HWC\uff0c\u6578\u503c 
            
2120
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
2120
0~255\u3002\r\n* `masks`\uff1a\u5f62\u72c0 (N, 512, 
            
2121
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
2121
uff0cuint8\uff1b\u4e94\u985e\u8a9e\u610f\u6a19\u7c64\uff0c\u503c\u57df 
            
2122
{0, 1, 2, 3, 4, 
2122
{0, 1, 2, 3, 4, 
            
2123
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
2123
u5225\u5b9a\u7fa9\u898b\u300c\u5176\u4ed6\u8aaa\u660e\u300d\u3002\r\n* 
            
2124
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
2124
`masks_paddy`\uff1a\u5f62\u72c0 (N, 512, 
            
2125
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
2125
int8\uff1b\u6c34\u7a3b\u7530\u4e8c\u5143\u906e\u7f69\uff0c\u503c\u57df 
            
2126
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
2126
{0, 1, 255}\uff08\u50c5 MTL \u7248\uff09\u3002\r\n* 
            
2127
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
2127
`filenames`\uff1a\u5f62\u72c0 (N,)\uff0cUTF-8 
            
2128
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
2128
\u5b57\u4e32\uff1b\u5716\u78da\u540d\u7a31\uff0c\u8207 
            
2129
`images`\u3001`masks` 
2129
`images`\u3001`masks` 
            
2130
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
2130
\r\n\r\n\u6839\u5c64\u7d1a\u5c6c\u6027\uff08attrs\uff09\uff1a\r\n\r\n* 
            
2131
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
2131
`num_samples`\uff1a\u5716\u78da\u6578 N\uff084288 \u6216 
            
2132
2176\uff09\u3002\r\n* 
2132
2176\uff09\u3002\r\n* 
            
2133
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
2133
ple_width`\u3001`tile_size`\uff1a512\uff1b`channels`\uff1a3\u3002\r\n* 
            
2134
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
2134
ff1a5\uff1b`ignore_label`\uff1a255\uff1b`mask_value_range`\uff1a`[0,4] 
            
2135
+ 
2135
+ 
            
2136
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
2136
ignore=255`\uff1b`image_dtype`\u3001`mask_dtype`\uff1auint8\u3002\r\n* 
            
2137
MTL \u7248\u53e6\u6709 
2137
MTL \u7248\u53e6\u6709 
            
2138
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
2138
u4e4b\u985e\u5225\u5b9a\u7fa9\u8207\u8f49\u63db\u898f\u5247\u3002\r\n* 
            
2139
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
2139
\uff08`image_mean`\u3001`image_std`\uff09\u5c6c\u6027\u3002\r\n\r\n### 
            
2140
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
2140
2. \u5716\u78da\u547d\u540d\u8207\u6392\u5217\u9806\u5e8f\r\n\r\n* 
            
2141
`filenames` \u683c\u5f0f\u70ba 
2141
`filenames` \u683c\u5f0f\u70ba 
            
2142
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
2142
`{\u5340\u584a\u7de8\u865f}_r{\u5217}_c{\u884c}`\uff0c\u4f8b\u5982 
            
2143
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
2143
`007_r03_c05` \u4ee3\u8868\u5340\u584a 007 \u7b2c 3 \u5217\u3001\u7b2c 
            
2144
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
2144
5 \u884c\u4e4b\u5716\u78da\uff08\u5217\u3001\u884c\u7686\u70ba 
            
2145
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
2145
00~07\uff09\u3002\u5340\u584a\u7de8\u865f\u5373\u539f\u59cb 
            
2146
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
2146
TIFF\uff0fPNG \u4e4b\u6a94\u540d\u4e3b\u6a94\u540d\u3002\r\n* 
            
2147
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
2147
7de8\u865f\u905e\u589e\u6392\u5217\uff0c\u540c\u4e00\u5340\u584a\u4e4b 
            
2148
64 
2148
64 
            
2149
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
2149
a\u5148\uff08row-major\uff09\u6392\u5e8f\uff1a\u5340\u584a\u5167\u7b2c 
            
2150
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
2150
k \u5f35\uff08k = 0~63\uff09\u5c0d\u61c9 r = k // 8\u3001c = k % 
            
2151
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
2151
8\u3002\r\n* \u56e0\u6b64\u53ef\u7531\u9023\u7e8c 64 
            
2152
\u7b46\u9084\u539f 4096\u00d74096 
2152
\u7b46\u9084\u539f 4096\u00d74096 
            
2153
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
2153
\u5340\u584a\u5927\u5716\uff1a`images[i:i+64].reshape(8, 8, 512, 512, 
            
2154
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
2154
3).transpose(0, 2, 1, 3, 4).reshape(4096, 4096, 3)`\uff08`masks` 
            
2155
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
2155
u7406\uff0c\u53bb\u6389\u6700\u5f8c\u4e00\u7dad\uff09\u3002\r\n\r\n### 
            
2156
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
2156
3. \u6c34\u7a3b\u7530\u906e\u7f69 masks_paddy\uff08\u50c5 MTL 
            
2157
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
2157
\u7248\uff09\r\n\r\n`masks_paddy` \u7531 `masks` 
            
2158
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
2158
\u9010\u50cf\u5143\u8f49\u63db\uff08`datasets_segmentation.py 
            
2159
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
2159
4\u7a3b\u7530\u5167\u300d\u4e4b\u898f\u5247\u7d04\u675f\uff1a\r\n\r\n* 
            
2160
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
2160
\u985e\u5225 1\uff08\u6b63\u5e38\u6c34\u7a3b\uff09\u8207 
            
2161
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
2161
4\uff08\u5012\u4f0f\u6c34\u7a3b\uff09\u2192 1\uff08\u6c34\u7a3b\u7530 
            
2162
paddy\uff09\r\n* \u985e\u5225 
2162
paddy\uff09\r\n* \u985e\u5225 
            
2163
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
2163
0013\uff08\u80cc\u666f\u3001\u9053\u8def\u3001\u8015\u5730\uff09\u2192 
            
2164
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
2164
0\uff08\u975e\u6c34\u7a3b\u7530 non-paddy\uff09\r\n* 255 \u2192 
            
2165
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
2165
uff08\u5ffd\u7565\u503c\uff0c\u7dad\u6301\u4e0d\u8b8a\uff09\r\n\r\n### 
            
2166
4. 
2166
4. 
            
2167
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
2167
\r\n\u5404\u985e\u5225\u50cf\u7d20\u5360\u6bd4\uff0c\u4f9d\u5e8f\u70ba 
            
2168
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
2168
trainval\uff084,288 \u5f35\uff09\uff0ftest\uff082,176 
            
2169
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
2169
\u5f35\uff09\uff0f\u5168\u8cc7\u6599\u96c6\uff086,464 
            
2170
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
2170
\u5f35\uff09\uff1a\r\n\r\n** masks **\r\n\r\n  * 0 
            
2171
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
2171
\u80cc\u666f\uff1a39.90%\uff0f41.96%\uff0f40.59%\r\n  * 1 
            
2172
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
2172
\u6b63\u5e38\u6c34\u7a3b\uff1a42.41%\uff0f41.80%\uff0f42.21%\r\n  * 2 
            
2173
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
2173
\u9053\u8def\uff1a6.62%\uff0f8.01%\uff0f7.09%\r\n  * 3 
            
2174
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
2174
\u8015\u5730\uff1a3.65%\uff0f1.65%\uff0f2.98%\r\n  * 4 
            
2175
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
2175
\u5012\u4f0f\u6c34\u7a3b\uff1a6.38%\uff0f6.19%\uff0f6.32%\r\n  * 255 
            
2176
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
2176
\u5ffd\u7565\u503c\uff1a1.04%\uff0f0.39%\uff0f0.82%\r\n\r\n** 
            
2177
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
2177
masks_paddy\uff08\u50c5 MTL \u7248\uff09 **\r\n\r\n  * 0 
            
2178
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
2178
\u975e\u6c34\u7a3b\u7530\uff1a50.17%\uff0f51.62%\uff0f50.66%\r\n  * 1 
            
2179
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
2179
\u6c34\u7a3b\u7530\uff1a48.79%\uff0f47.99%\uff0f48.52%\r\n  * 255 
            
2180
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
2180
8a13\u7df4\u6642\u5efa\u8b70\u642d\u914d\u985e\u5225\u6b0a\u91cd\u6216 
            
2181
Focal\uff0fDice 
2181
Focal\uff0fDice 
            
2182
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
2182
\u7b49\u4e0d\u5e73\u8861\u640d\u5931\u51fd\u6578\u3002\r\n\r\n### 5. 
            
2183
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
2183
\u4f7f\u7528\u65b9\u5f0f\r\n\r\n**\u9078\u6a94\u5efa\u8b70**\r\n\r\n* 
            
2184
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
2184
\u55ae\u4efb\u52d9\u8a9e\u610f\u5206\u5272\u6a21\u578b\uff1a\u4ee5 
            
2185
`ricelodging_2019_trainval_512px_4288samples.h5` 
2185
`ricelodging_2019_trainval_512px_4288samples.h5` 
            
2186
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
2186
\u8a13\u7df4\u8207\u9a57\u8b49\uff0c\u4ee5 
            
2187
`ricelodging_2019_test_512px_2176samples.h5` 
2187
`ricelodging_2019_test_512px_2176samples.h5` 
            
2188
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
2188
\u9032\u884c\u6700\u7d42\u6e2c\u8a66\u3002\r\n* 
            
2189
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
2189
8a9e\u610f\u8207\u6c34\u7a3b\u7530\u906e\u7f69\uff09\uff1a\u6539\u7528 
            
2190
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
2190
`ricelodging-mtl_2019_trainval_512px_4288samples.h5` \u8207 
            
2191
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
2191
`ricelodging-mtl_2019_test_512px_2176samples.h5`\u3002\r\n* test 
            
2192
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
2192
6574\uff1b\u540c\u4e00\u5207\u5206\u4e4b\u55ae\u4efb\u52d9\u7248\u8207 
            
2193
MTL 
2193
MTL 
            
2194
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
2194
\u8907\uff0c\u4e0d\u61c9\u5408\u4f75\u4f7f\u7528\u3002\r\n\r\n**\u4ee5 
            
2195
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
2195
h5py \u76f4\u63a5\u8b80\u53d6**\r\n\r\n1. \u4ee5 Python \u5957\u4ef6 
            
2196
h5py 
2196
h5py 
            
2197
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
2197
uff1ah5py.File(\"ricelodging-mtl_2019_trainval_512px_4288samples.h5\", 
            
2198
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
2198
\"r\")\uff0c\u4ee5\u4e0b\u4ee5 f 
            
2199
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
2199
4ee3\u8868\u958b\u555f\u5f8c\u4e4b\u6a94\u6848\u7269\u4ef6\u3002\r\n2. 
            
2200
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
2200
\u8b80\u53d6\u6a94\u6848\u5c6c\u6027\uff1adict(f.attrs)\u3002\r\n3. 
            
2201
\u8b80\u53d6\u7b2c i 
2201
\u8b80\u53d6\u7b2c i 
            
2202
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2202
\u5f35\u5f71\u50cf\uff1af[\"images\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2203
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
2203
(512, 512, 3) \u4e4b uint8 RGB \u9663\u5217\u3002\r\n4. 
            
2204
\u8b80\u53d6\u7b2c i 
2204
\u8b80\u53d6\u7b2c i 
            
2205
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2205
\u5f35\u6a19\u8a3b\uff1af[\"masks\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2206
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
2206
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0~4, 
            
2207
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
2207
255}\u3002\r\n5. \u8b80\u53d6\u7b2c i 
            
2208
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
2208
\u5f35\u6c34\u7a3b\u7530\u906e\u7f69\uff08\u50c5 MTL 
            
2209
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
2209
\u7248\uff09\uff1af[\"masks_paddy\"][i]\uff0c\u56de\u50b3\u5f62\u72c0 
            
2210
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
2210
(512, 512) \u4e4b uint8 \u9663\u5217\uff0c\u503c\u57df {0, 1, 
            
2211
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
2211
255}\u3002\r\n6. \u8b80\u53d6\u7b2c i 
            
2212
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
2212
\u78da\u540d\u7a31\uff1af[\"filenames\"][i].decode()\uff0c\u4f8b\u5982 
            
2213
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
2213
000_r00_c00\u3002\r\n\r\n**\u65bc PyTorch 
            
2214
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
2214
\u8a13\u7df4\u6642\u4e4b\u6ce8\u610f\u4e8b\u9805**\r\n\r\n* 
            
2215
\u6a19\u7c64 255 
2215
\u6a19\u7c64 255 
            
2216
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
2216
70ba\u5ffd\u7565\u503c\uff0c\u640d\u5931\u51fd\u6578\u9700\u8a2d\u5b9a 
            
2217
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
2217
u4f30\u6307\u6a19\u4ea6\u61c9\u6392\u9664\u8a72\u50cf\u5143\u3002\r\n* 
            
2218
\u5f71\u50cf\u70ba 0~255 \u4e4b 
2218
\u5f71\u50cf\u70ba 0~255 \u4e4b 
            
2219
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
2219
\u8a13\u7df4\u7a0b\u5f0f\uff08`Model/ConvNeXt-Based/dataset_loader.py` 
            
2220
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
2220
\u4e4b `HDF5SegmentationDataset`\uff09\u5148\u9664\u4ee5 
            
2221
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
2221
255\uff0c\u518d\u4ee5 mean = std = 0.5 \u6b63\u898f\u5316\u81f3 [-1, 
            
2222
1]\u3002\r\n* 
2222
1]\u3002\r\n* 
            
2223
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
2223
\u5e7e\u4f55\u8b8a\u63db\uff0c`images`\u3001`masks`\u3001`masks_paddy` 
            
2224
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
2224
u6a5f\u53c3\u6578\u4ee5\u7dad\u6301\u50cf\u5143\u5c0d\u9f4a\u3002\r\n* 
            
2225
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
2225
\u591a\u7a0b\u5e8f DataLoader \u4e0b\uff0c\u5efa\u8b70\u65bc\u5404 
            
2226
worker \u5167\u5ef6\u9072\u958b\u555f h5 
2226
worker \u5167\u5ef6\u9072\u958b\u555f h5 
            
2227
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
2227
78bc\uff0c\u907f\u514d\u591a\u7a0b\u5e8f\u5171\u7528\u540c\u4e00\u500b 
            
2228
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
2228
h5py \u7269\u4ef6\u3002\r\n\r\n**\u91cd\u65b0\u7522\u88fd 
            
2229
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
2229
\r\n\u539f\u59cb\u5340\u584a\u5f71\u50cf\u8207\u6a19\u8a3b\u4f4d\u65bc 
            
2230
2019/train-val/{image,annotation} \u8207 
2230
2019/train-val/{image,annotation} \u8207 
            
2231
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
2231
2019/test/{image,annotation}\uff08\u5f71\u50cf\u70ba 
            
2232
TIFF\u3001\u6a19\u8a3b\u70ba 
2232
TIFF\u3001\u6a19\u8a3b\u70ba 
            
2233
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
2233
ff0c\u4ee5\u4e3b\u6a94\u540d\u914d\u5c0d\uff09\u3002\u4ee5\u7522\u88fd 
            
2234
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
2234
MTL \u7248 trainval \u6a94\u70ba\u4f8b\uff0c\u57f7\u884c python 
            
2235
datasets_segmentation.py 
2235
datasets_segmentation.py 
            
2236
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
2236
\u4e26\u5e36\u5165\u4e0b\u5217\u53c3\u6578\uff08\u7522\u88fd test 
            
2237
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
2237
\u6a94\u6642\u5c07 train-val \u6539\u70ba 
            
2238
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
2238
51fa\u6a94\u540d\u6539\u70ba\u5c0d\u61c9\u540d\u7a31\uff1b\u7701\u7565 
            
2239
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
2239
--multitask \u5373\u70ba\u55ae\u4efb\u52d9\u7248\uff09\uff1a\r\n\r\n* 
            
2240
--image_dir 2019/train-val/image\r\n* --annotation_dir 
2240
--image_dir 2019/train-val/image\r\n* --annotation_dir 
            
2241
2019/train-val/annotation\r\n* --output_h5 
2241
2019/train-val/annotation\r\n* --output_h5 
            
2242
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
2242
ricelodging-mtl_2019_trainval_512px_4288samples.h5\r\n* --num_classes 
            
2243
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
2243
5\r\n* --ignore_label 255\r\n* --tile_size 512\r\n* --multitask",
            
2244
      "format": "HDF5",
2244
      "format": "HDF5",
            
2245
      "hash": "",
2245
      "hash": "",
            
2246
      "id": "269ef2bf-eebf-4a4c-8ed8-8a1b5a79f5fa",
2246
      "id": "269ef2bf-eebf-4a4c-8ed8-8a1b5a79f5fa",
            
2247
      "keyword": "",
2247
      "keyword": "",
            
2248
      "last_modified": null,
2248
      "last_modified": null,
            
2249
      "metadata_modified": "2026-10-14T03:18:10.711008",
2249
      "metadata_modified": "2026-10-14T03:18:10.711008",
            
2250
      "mimetype": null,
2250
      "mimetype": null,
            
2251
      "mimetype_inner": null,
2251
      "mimetype_inner": null,
            
2252
      "name": "ricelodging-mtl_2019_test_512px_2176samples.h5",
2252
      "name": "ricelodging-mtl_2019_test_512px_2176samples.h5",
            
2253
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
2253
      "nchu_ddl_resource_filetype": "\u5f71\u50cf\u6a94\u6848",
            
2254
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
2254
      "package_id": "85fa2fcf-ae3c-4691-9d42-11be3236e4bf",
            
2255
      "position": 5,
2255
      "position": 5,
            
2256
      "resource_type": null,
2256
      "resource_type": null,
            
2257
      "size": null,
2257
      "size": null,
            
2258
      "state": "active",
2258
      "state": "active",
            
2259
      "url": 
2259
      "url": 
            
2260
8-772a8c7c69c2/upload/ricelodging-mtl_2019_test_512px_2176samples.h5",
2260
8-772a8c7c69c2/upload/ricelodging-mtl_2019_test_512px_2176samples.h5",
            
2261
      "url_type": null
2261
      "url_type": null
            
2262
    }
2262
    }
            
2263
  ],
2263
  ],
            
2264
  "state": "active",
2264
  "state": "active",
            
2265
  "tags": [
2265
  "tags": [
            
2266
    {
2266
    {
            
2267
      "display_name": "UAV",
2267
      "display_name": "UAV",
            
2268
      "id": "9f3f240b-7eb9-49c2-805b-1d24b0015461",
2268
      "id": "9f3f240b-7eb9-49c2-805b-1d24b0015461",
            
2269
      "name": "UAV",
2269
      "name": "UAV",
            
2270
      "state": "active",
2270
      "state": "active",
            
2271
      "vocabulary_id": null
2271
      "vocabulary_id": null
            
2272
    },
2272
    },
            
2273
    {
2273
    {
            
2274
      "display_name": "rice",
2274
      "display_name": "rice",
            
2275
      "id": "6d9fd46b-45c0-4296-90a0-20c2e139e18b",
2275
      "id": "6d9fd46b-45c0-4296-90a0-20c2e139e18b",
            
2276
      "name": "rice",
2276
      "name": "rice",
            
2277
      "state": "active",
2277
      "state": "active",
            
2278
      "vocabulary_id": null
2278
      "vocabulary_id": null
            
2279
    },
2279
    },
            
2280
    {
2280
    {
            
2281
      "display_name": "rice lodging",
2281
      "display_name": "rice lodging",
            
2282
      "id": "30071171-105a-4dc5-9c2c-cbaa069a271d",
2282
      "id": "30071171-105a-4dc5-9c2c-cbaa069a271d",
            
2283
      "name": "rice lodging",
2283
      "name": "rice lodging",
            
2284
      "state": "active",
2284
      "state": "active",
            
2285
      "vocabulary_id": null
2285
      "vocabulary_id": null
            
2286
    },
2286
    },
            
2287
    {
2287
    {
            
2288
      "display_name": "sematic segmentation",
2288
      "display_name": "sematic segmentation",
            
2289
      "id": "8ac5f9f7-b10b-4ae6-83fe-7c9576f5a67f",
2289
      "id": "8ac5f9f7-b10b-4ae6-83fe-7c9576f5a67f",
            
2290
      "name": "sematic segmentation",
2290
      "name": "sematic segmentation",
            
2291
      "state": "active",
2291
      "state": "active",
            
2292
      "vocabulary_id": null
2292
      "vocabulary_id": null
            
2293
    },
2293
    },
            
2294
    {
2294
    {
            
2295
      "display_name": "\u5f71\u50cf\u5206\u5272",
2295
      "display_name": "\u5f71\u50cf\u5206\u5272",
            
2296
      "id": "96fd9536-25c9-4df2-b113-6c9d3d0eddc1",
2296
      "id": "96fd9536-25c9-4df2-b113-6c9d3d0eddc1",
            
2297
      "name": "\u5f71\u50cf\u5206\u5272",
2297
      "name": "\u5f71\u50cf\u5206\u5272",
            
2298
      "state": "active",
2298
      "state": "active",
            
2299
      "vocabulary_id": null
2299
      "vocabulary_id": null
            
2300
    },
2300
    },
            
2301
    {
2301
    {
            
2302
      "display_name": "\u6c34\u7a3b",
2302
      "display_name": "\u6c34\u7a3b",
            
2303
      "id": "c99e2e3c-498d-4976-bcf3-d90d6c2c19b3",
2303
      "id": "c99e2e3c-498d-4976-bcf3-d90d6c2c19b3",
            
2304
      "name": "\u6c34\u7a3b",
2304
      "name": "\u6c34\u7a3b",
            
2305
      "state": "active",
2305
      "state": "active",
            
2306
      "vocabulary_id": null
2306
      "vocabulary_id": null
            
2307
    },
2307
    },
            
2308
    {
2308
    {
            
2309
      "display_name": "\u6c34\u7a3b\u5012\u4f0f",
2309
      "display_name": "\u6c34\u7a3b\u5012\u4f0f",
            
2310
      "id": "570149de-2b26-4582-8f7e-47311366f7bc",
2310
      "id": "570149de-2b26-4582-8f7e-47311366f7bc",
            
2311
      "name": "\u6c34\u7a3b\u5012\u4f0f",
2311
      "name": "\u6c34\u7a3b\u5012\u4f0f",
            
2312
      "state": "active",
2312
      "state": "active",
            
2313
      "vocabulary_id": null
2313
      "vocabulary_id": null
            
2314
    },
2314
    },
            
2315
    {
2315
    {
            
2316
      "display_name": "\u7121\u4eba\u6a5f\u5f71\u50cf",
2316
      "display_name": "\u7121\u4eba\u6a5f\u5f71\u50cf",
            
2317
      "id": "4e7d1984-5c54-4fae-8f59-99691badb0d3",
2317
      "id": "4e7d1984-5c54-4fae-8f59-99691badb0d3",
            
2318
      "name": "\u7121\u4eba\u6a5f\u5f71\u50cf",
2318
      "name": "\u7121\u4eba\u6a5f\u5f71\u50cf",
            
2319
      "state": "active",
2319
      "state": "active",
            
2320
      "vocabulary_id": null
2320
      "vocabulary_id": null
            
2321
    }
2321
    }
            
2322
  ],
2322
  ],
            
2323
  "title": 
2323
  "title": 
            
2324
5272\u5f71\u50cf\u8cc7\u6599\u96c6\uff082019\u53ef\u898b\u5149\uff09",
2324
5272\u5f71\u50cf\u8cc7\u6599\u96c6\uff082019\u53ef\u898b\u5149\uff09",
            
2325
  "toolinfos": "[{\"type\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", 
2325
  "toolinfos": "[{\"type\": \"\\u5f71\\u50cf\\u8cc7\\u6599\", 
            
2326
\"free\": \"GIMP\", \"commercial\": \"\"}]",
2326
\"free\": \"GIMP\", \"commercial\": \"\"}]",
            
2327
  "type": "dataset",
2327
  "type": "dataset",
            
2328
  "url": null,
2328
  "url": null,
            
2329
  "version": null
2329
  "version": null
            
2330
}
2330
}